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151. Non-oncology drugs are a source of previously unappreciated anti-cancer activity

Author: Eric Stefan, Evan Lemire, Sam Bender, Jesse S. Boehm, Li Wang, David Peck, John G. Doench, Christopher C. Mader, Matthew Meyerson, Ayshwarya Subramanian, Steven M. Corsello, Yii-Der Ida Chen, Jordan Rossen, Rohith T. Nagari, Joshua Bittker, James M. McFarland, Rajiv Narayan, Mustafa Kocak, Uri Ben-David, Matthew G. Rees, Vickie M. Wang, Nancy Dumont, Xiaoyun Wu, Anna Tang, Jordan Bryan, Ranad Humeidi, Ryan Spangler, Todd R. Golub, Francisca Vazquez, Nicholas J. Lyons, Philip Montgomery, Aviad Tsherniak, Bang Wong, Patrick O'Hearn, Heidi Greulich, and Jennifer Roth
Subjects: Drug, 0303 health sciences, media_common.quotation_subject, Cancer, Biology, medicine.disease, 3. Good health, 03 medical and health sciences, Drug repositioning, 0302 clinical medicine, Tepoxalin, Cell culture, 030220 oncology & carcinogenesis, Disulfiram, medicine, Cancer research, Oncology drugs, Gene, 030304 developmental biology, medicine.drug, media_common
Abstract: Anti-cancer uses of non-oncology drugs have been found on occasion, but such discoveries have been serendipitous and rare. We sought to create a public resource containing the growth inhibitory activity of 4,518 drugs tested across 578 human cancer cell lines. To accomplish this, we used PRISM, which involves drug treatment of molecularly barcoded cell lines in pools. Relative barcode abundance following treatment thus reflects cell line viability. We found that an unexpectedly large number of non-oncology drugs selectively inhibited subsets of cancer cell lines. Moreover, the killing activity of the majority of these drugs was predictable based on the molecular features of the cell lines. Follow-up of several of these compounds revealed novel mechanisms. For example, compounds that kill by inducing PDE3A-SLFN12 complex formation; vanadium-containing compounds whose killing is dependent on the sulfate transporter SLC26A2; the alcohol dependence drug disulfiram, which kills cells with low expression of metallothioneins; and the anti-inflammatory drug tepoxalin, whose killing is dependent on high expression of the multi-drug resistance gene ABCB1. These results illustrate the potential of the PRISM drug repurposing resource as a starting point for new oncology therapeutic development. The resource is available at https://depmap.org.
Published: 2019
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152. Epigenome-wide association analysis of daytime sleepiness in the Multi-Ethnic Study of Atherosclerosis reveals African-American-specific associations

Author: Jerome I. Rotter, Yongmei Liu, Xiaofeng Zhu, W. Craig Johnson, Susan Redline, Nona Sotoodehnia, Sanjay R. Patel, Heming Wang, Traci M. Bartz, Jennifer A. Brody, Brenton R. Swenson, Xihong Lin, Sina A. Gharib, Shaun Purcell, Yii-Der Ida Chen, Ruitong Li, Richard Barfield, Brian E. Cade, Tamar Sofer, Richa Saxena, and Han Chen
Subjects: Male, Sleep, Health and Disease, Aging, Excessive daytime sleepiness, Medical and Health Sciences, Epigenome, 0302 clinical medicine, Prevalence, sleep–wake, Genetics, African Americans, 0303 health sciences, Epworth Sleepiness Scale, excessive daytime sleepiness, Single Nucleotide, race/ethnic heterogeneity, Biological Sciences, 3. Good health, DNA methylation, Female, medicine.symptom, Sleep Research, Sleep Wake Disorders, Genotype, Single-nucleotide polymorphism, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, diversity, 03 medical and health sciences, Physiology (medical), medicine, genomics, Humans, Epigenetics, Polymorphism, 030304 developmental biology, Genetic association, Aged, Neurology & Neurosurgery, epigenetics, Human Genome, Psychology and Cognitive Sciences, dNaM, DNA Methylation, Atherosclerosis, Black or African American, Good Health and Well Being, sleep-wake, Neurology (clinical), methylation, Sleep, 030217 neurology & neurosurgery
Abstract: Study ObjectivesDaytime sleepiness is a consequence of inadequate sleep, sleep–wake control disorder, or other medical conditions. Population variability in prevalence of daytime sleepiness is likely due to genetic and biological factors as well as social and environmental influences. DNA methylation (DNAm) potentially influences multiple health outcomes. Here, we explored the association between DNAm and daytime sleepiness quantified by the Epworth Sleepiness Scale (ESS).MethodsWe performed multi-ethnic and ethnic-specific epigenome-wide association studies for DNAm and ESS in the Multi-Ethnic Study of Atherosclerosis (MESA; n = 619) and the Cardiovascular Health Study (n = 483), with cross-study replication and meta-analysis. Genetic variants near ESS-associated DNAm were analyzed for methylation quantitative trait loci and followed with replication of genotype-sleepiness associations in the UK Biobank.ResultsIn MESA only, we detected four DNAm-ESS associations: one across all race/ethnic groups; three in African-Americans (AA) only. Two of the MESA AA associations, in genes KCTD5 and RXRA, nominally replicated in CHS (p-value < 0.05). In the AA meta-analysis, we detected 14 DNAm-ESS associations (FDR q-value < 0.05, top association p-value = 4.26 × 10−8). Three DNAm sites mapped to genes (CPLX3, GFAP, and C7orf50) with biological relevance. We also found evidence for associations with DNAm sites in RAI1, a gene associated with sleep and circadian phenotypes. UK Biobank follow-up analyses detected SNPs in RAI1, RXRA, and CPLX3 with nominal sleepiness associations.ConclusionsWe identified methylation sites in multiple genes possibly implicated in daytime sleepiness. Most significant DNAm-ESS associations were specific to AA. Future work is needed to identify mechanisms driving ancestry-specific methylation effects.
Published: 2019

153. Classification of Type 2 Diabetes Genetic Variants and a Novel Genetic Risk Score Association With Insulin Clearance

Author: Willa A. Hsueh, Jinrui Cui, Lynne E. Wagenknecht, Mark O. Goodarzi, Nicholette D. Palmer, Yii-Der Ida Chen, Thomas A. Buchanan, Jerome I. Rotter, Kent D. Taylor, Xiuqing Guo, and Leslie J. Raffel
Subjects: Adult, Male, medicine.medical_specialty, Genotype, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Clinical Biochemistry, Context (language use), Type 2 diabetes, Biochemistry, Polymorphism, Single Nucleotide, Body Mass Index, Endocrinology, Insulin resistance, Risk Factors, Internal medicine, Diabetes mellitus, Insulin Secretion, medicine, Ethnicity, Humans, Insulin, Genetic Predisposition to Disease, Clinical Research Articles, Genetic association, business.industry, Biochemistry (medical), fungi, Middle Aged, medicine.disease, Prognosis, United States, Phenotype, Diabetes Mellitus, Type 2, Female, Lipodystrophy, Insulin Resistance, business, Body mass index, Biomarkers, Follow-Up Studies, Genome-Wide Association Study
Abstract: Context Genome-wide association studies have identified more than 450 single nucleotide polymorphisms (SNPs) for type 2 diabetes (T2D). Objective To facilitate use of these SNPs in future genetic risk score (GRS)-based analyses, we aimed to classify the SNPs based on physiology. We also sought to validate GRS associations with insulin-related traits in deeply phenotyped Mexican Americans. Design, Setting, and Participants A total of 457 T2D SNPs from the literature were assigned physiologic function based on association studies and cluster analyses. All SNPs (All-GRS), beta-cell (BC-GRS), insulin resistance (IR-GRS), lipodystrophy (Lipo-GRS), and body mass index plus lipids (B + L–GRS) were evaluated for association with diabetes and indices of insulin secretion (from oral glucose tolerance test), insulin sensitivity and insulin clearance (from euglycemic clamp), and adiposity and lipid markers in 1587 Mexican Americans. Results Of the 457 SNPs, 52 were classified as BC, 30 as IR, 12 as Lipo, 12 as B + L, whereas physiologic function of 351 was undefined. All-GRS was strongly associated with T2D. Among nondiabetic Mexican Americans, BC-GRS was associated with reduced insulinogenic index, IR-GRS was associated with reduced insulin sensitivity, and Lipo-GRS was associated with reduced adiposity. B + L–GRS was associated with increased insulin clearance. The latter did not replicate in an independent cohort wherein insulin clearance was assessed by a different method. Conclusions Supporting their utility, BC-GRS, IR-GRS, and Lipo-GRS, based on SNPs discovered largely in Europeans, exhibited expected associations in Mexican Americans. The novel association of B + L–GRS with insulin clearance suggests that impaired ability to reduce insulin clearance in compensation for IR may play a role in the pathogenesis of T2D. Whether this applies to other ethnic groups remains to be determined.
Published: 2019

154. Quality of dietary fat and genetic risk of type 2 diabetes:individual participant data meta-analysis

Author: Christina Ellervik, Toshiko Tanaka, Paul M. Ridker, Julie E. Buring, Yuvaraj Mahendran, Rebecca Rohde, Oscar H. Franco, Trudy Voortman, Yii-Der Ida Chen, Kristin L. Young, Kenneth J. Mukamal, K. Saaksjarvi, Peitao Wu, Jerome I. Rotter, Elizabeth Selvin, Audrey Y. Chu, Niels Grarup, Torben Hansen, Lydia A. Bazzano, Meir J. Stampfer, Kari E. North, George Hindy, Nita G. Forouhi, Peter Kraft, Kim Overvad, Camilla H. Sandholt, Paul W. Franks, Ulla Toft, Majken K. Jensen, Veikko Salomaa, Chloé Sarnowski, Bruce M. Psaty, Thorkild I. A. Sørensen, Rozenn N. Lemaitre, Satu Männistö, Jordi Merino, Anne Tjønneland, Alexis C. Frazier-Wood, James B. Meigs, Frank B. Hu, Anne E. Justice, Oluf Pedersen, Marta Guasch-Ferré, Christina-Alexandra Schulz, Caren E. Smith, Jose C. Florez, Dariush Mozaffarian, Claudia Langenberg, Tuomas O. Kilpeläinen, Jaeyoung Hong, Ching-Ti Liu, Mikko Kuokkanen, Annamari Lundqvist, Nicholas J. Wareham, Jian'an Luan, Markus Perola, Josée Dupuis, Hassan S. Dashti, Marju Orho-Melander, Ulrika Ericson, Lu Qi, Stephen J. Sharp, Ming Ding, Jose M. Ordovas, Fumiaki Imamura, Daniel I. Chasman, Kim V.E. Braun, Dianjianyi Sun, Epidemiology, Merino, Jordi [0000-0001-8312-1438], and Apollo - University of Cambridge Repository
Subjects: Male, PREDICTION, Type 2 diabetes, 030204 cardiovascular system & hematology, Corrections, Polyunsaturated fat, 0302 clinical medicine, Risk Factors, 030212 general & internal medicine, Prospective Studies, Prospective cohort study, 2. Zero hunger, ARCHITECTURE, Nutrition and Dietetics, Incidence, Hazard ratio, ASSOCIATION, General Medicine, Middle Aged, 3. Good health, Näringslära, CARDIOVASCULAR-DISEASE, Meta-analysis, NUTRITION, Female, Cohort study, Adult, medicine.medical_specialty, 030209 endocrinology & metabolism, Lower risk, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Diet/adverse effects, Internal medicine, MANAGEMENT, medicine, Humans, CORONARY-HEART-DISEASE, Alleles, Proportional Hazards Models, business.industry, MORTALITY, Research, medicine.disease, Dietary Fats, PREVENTION, PREDISPOSITION, Confidence interval, Diet, Diabetes Mellitus, Type 2, Diabetes Mellitus, Type 2/epidemiology, Dietary Fats/adverse effects, business, Genome-Wide Association Study
Abstract: Objective To investigate whether the genetic burden of type 2 diabetes modifies the association between the quality of dietary fat and the incidence of type 2 diabetes. Design Individual participant data meta-analysis. Data sources Eligible prospective cohort studies were systematically sourced from studies published between January 1970 and February 2017 through electronic searches in major medical databases (Medline, Embase, and Scopus) and discussion with investigators. Review methods Data from cohort studies or multicohort consortia with available genome-wide genetic data and information about the quality of dietary fat and the incidence of type 2 diabetes in participants of European descent was sought. Prospective cohorts that had accrued five or more years of follow-up were included. The type 2 diabetes genetic risk profile was characterized by a 68-variant polygenic risk score weighted by published effect sizes. Diet was recorded by using validated cohort-specific dietary assessment tools. Outcome measures were summary adjusted hazard ratios of incident type 2 diabetes for polygenic risk score, isocaloric replacement of carbohydrate (refined starch and sugars) with types of fat, and the interaction of types of fat with polygenic risk score. Results Of 102 305 participants from 15 prospective cohort studies, 20 015 type 2 diabetes cases were documented after a median follow-up of 12 years (interquartile range 9.4-14.2). The hazard ratio of type 2 diabetes per increment of 10 risk alleles in the polygenic risk score was 1.64 (95% confidence interval 1.54 to 1.75, I 2 =7.1%, τ 2 =0.003). The increase of polyunsaturated fat and total omega 6 polyunsaturated fat intake in place of carbohydrate was associated with a lower risk of type 2 diabetes, with hazard ratios of 0.90 (0.82 to 0.98, I 2 =18.0%, τ 2 =0.006; per 5% of energy) and 0.99 (0.97 to 1.00, I 2 =58.8%, τ 2 =0.001; per increment of 1 g/d), respectively. Increasing monounsaturated fat in place of carbohydrate was associated with a higher risk of type 2 diabetes (hazard ratio 1.10, 95% confidence interval 1.01 to 1.19, I 2 =25.9%, τ 2 =0.006; per 5% of energy). Evidence of small study effects was detected for the overall association of polyunsaturated fat with the risk of type 2 diabetes, but not for the omega 6 polyunsaturated fat and monounsaturated fat associations. Significant interactions between dietary fat and polygenic risk score on the risk of type 2 diabetes (P>0.05 for interaction) were not observed. Conclusions These data indicate that genetic burden and the quality of dietary fat are each associated with the incidence of type 2 diabetes. The findings do not support tailoring recommendations on the quality of dietary fat to individual type 2 diabetes genetic risk profiles for the primary prevention of type 2 diabetes, and suggest that dietary fat is associated with the risk of type 2 diabetes across the spectrum of type 2 diabetes genetic risk.
Published: 2019

155. Identification of type 2 diabetes loci in 433,540 East Asian individuals

Author: Chien-Hsiun Chen, Anna L. Gloyn, Atsushi Takahashi, Sohee Han, Ken Suzuki, Mark A Pereira, Shi Jinxiu, Fiona Bragg, Yii-Der Ida Chen, Robin G. Walters, Takashi Kadowaki, Charumathi Sabanayagam, Annie-Green Howard, Mark I. McCarthy, Zheng Bian, Zhengming Chen, E-Shyong Tai, Chii-Min Hwu, Cassandra N. Spracklen, Yuan-Tsong Chen, Linda S. Adair, Momoko Horikoshi, Guozhi Jiang, Ching-Yu Cheng, Mi Yeong Hwang, Andrew P. Morris, Karen L. Mohlke, John C. Chambers, Jian-Min Yuan, Woon-Puay Koh, Hyeok Sun Choi, Ju Young Lee, Bong-Jo Kim, Masato Akiyama, Sahoko Ichihara, Xueling Sim, Norihiro Kato, Kuang Lin, Jirong Long, Xiuqing Guo, Fumihiko Takeuchi, Penny Gordon-Larsen, Hannah J Perrin, Young Jin Kim, Lee-Ming Chuang, Weihua Zhang, Rob M. van Dam, Andrea O.Y. Luk, Masahiro Nakatochi, Yukinori Okada, Katsuhiko Kohara, Yoichiro Kamatani, Jerome I. Rotter, Iona Y Millwood, Jer-Yuarn Wu, Canqing Yu, Wayne Huey-Herng Sheu, Shiro Maeda, Jost B. Jonas, Yasuharu Tabara, Mitsuhiro Yokota, Li-Ching Chang, Toshimasa Yamauchi, Shufa Du, Yu Guo, Yoon Shin Cho, Yi-Jen Hung, Jie Yao, Soo Heon Kwak, Hye-Mi Jang, Maggie C.Y. Ng, Xiao-Ou Shu, Myung-Shik Lee, Kyungheon Yoon, Sarah M Brotman, Sanghoon Moon, Tien Yin Wong, Martijn van de Bunt, Michiya Igase, Claudia H. T. Tam, Fumihiko Matsuda, Wei Zheng, Liang Zhang, Yong-Bing Xiang, Victor Jun Yu Lim, Ronald Cw Ma, Liming Li, Tomohiro Katsuya, Jianjun Liu, Jun Lv, Jennifer E. Below, Anubha Mahajan, Kyong-Soo Park, Masato Isono, Wing-Yee So, Nanette R. Lee, Brian Tomlinson, Juliana C.N. Chan, Lauren E. Petty, Chiea Chuen Khor, Miao-Li Chee, Ken Yamamoto, Wei Huang, Michael Boehnke, Jin-Fang Chai, Donald W. Bowden, Apoorva K Iyengar, Dong Mun Shin, Myron D. Gross, Takahisa Kawaguchi, Ya Xing Wang, and Fuu Jen Tsai
Subjects: Ankyrins, Male, 0301 basic medicine, Transcription, Genetic, endocrine system diseases, Nerve Tissue Proteins, 030209 endocrinology & metabolism, Locus (genetics), Genome-wide association study, Type 2 diabetes, Biology, Article, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Asian People, ANK1, medicine, Humans, Genetic Predisposition to Disease, RNA, Messenger, Allele, Eye Proteins, Gene, Alleles, 030304 developmental biology, ALDH2, Genetic association, 2. Zero hunger, Homeodomain Proteins, Genetics, 0303 health sciences, Multidisciplinary, Asia, Eastern, Aldehyde Dehydrogenase, Mitochondrial, Case-control study, nutritional and metabolic diseases, medicine.disease, Europe, 030104 developmental biology, Diabetes Mellitus, Type 2, Case-Control Studies, Meta-analysis, Expression quantitative trait loci, Female, Body mass index, 030217 neurology & neurosurgery, Genome-Wide Association Study, Transcription Factors
Abstract: SUMMARYMeta-analyses of genome-wide association studies (GWAS) have identified >240 loci associated with type 2 diabetes (T2D), however most loci have been identified in analyses of European-ancestry individuals. To examine T2D risk in East Asian individuals, we meta-analyzed GWAS data in 77,418 cases and 356,122 controls. In the main analysis, we identified 298 distinct association signals at 178 loci, and across T2D association models with and without consideration of body mass index and sex, we identified 56 loci newly implicated in T2D predisposition. Common variants associated with T2D in both East Asian and European populations exhibited strongly correlated effect sizes. New associations include signals in/near GDAP1, PTF1A, SIX3, ALDH2, a microRNA cluster, and genes that affect muscle and adipose differentiation. At another locus, eQTLs at two overlapping T2D signals act through two genes, NKX6-3 and ANK1, in different tissues. Association studies in diverse populations identify additional loci and elucidate disease genes, biology, and pathways.Type 2 diabetes (T2D) is a common metabolic disease primarily caused by insufficient insulin production and/or secretion by the pancreatic β cells and insulin resistance in peripheral tissues1. Most genetic loci associated with T2D have been identified in populations of European (EUR) ancestry, including a recent meta-analysis of genome-wide association studies (GWAS) of nearly 900,000 individuals of European ancestry that identified >240 loci influencing the risk of T2D2. Differences in allele frequency between ancestries affect the power to detect associations within a population, particularly among variants rare or monomorphic in one population but more frequent in another3,4. Although smaller than studies in European populations, a recent T2D meta-analysis in almost 200,000 Japanese individuals identified 28 additional loci4. The relative contributions of different pathways to the pathophysiology of T2D may also differ between ancestry groups. For example, in East Asian (EAS) populations, T2D prevalence is greater than in European populations among people of similar body mass index (BMI) or waist circumference5. We performed the largest meta-analysis of East Asian individuals to identify new genetic associations and provide insight into T2D pathogenesis.
Published: 2019
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156. Genetic Risk Score in Diabetes Associated With Chronic Pancreatitis Versus Type 2 Diabetes Mellitus

Author: Vikesh K. Singh, Phil J. Greer, Georgios I. Papachristou, Thiruvengadam Muniraj, Jinrui Cui, Tanvi Nagpal, Jerome I. Rotter, Yii-Der Ida Chen, Walter G. Park, David C. Whitcomb, Gregory A. Cote, Melena D. Bellin, Phil A. Hart, Xiuqing Guo, Stuart Sherman, Chris E. Forsmark, Jessica LaRusch, Darwin L. Conwell, Mary E. Money, John Baillie, Mark O. Goodarzi, James S. Pankow, Samer Alkaade, Stephen T. Amann, Stephen J. Pandol, Dhiraj Yadav, C. Mel Wilcox, Michele D. Lewis, Nalini M. Guda, Dana K. Andersen, Andres Gelrud, Randall E. Brand, Timothy B. Gardner, Bimaljit S. Sandhu, Peter A. Banks, and Joseph Romagnuolo
Subjects: medicine.medical_specialty, endocrine system diseases, Extramural, business.industry, Gastroenterology, nutritional and metabolic diseases, Type 2 Diabetes Mellitus, medicine.disease, Article, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, 030220 oncology & carcinogenesis, Diabetes mellitus, Internal medicine, medicine, Pancreatitis, 030211 gastroenterology & hepatology, Genetic risk, Complication, business, Pancreatogenic diabetes, Pancreas
Abstract: Introduction: Diabetes mellitus (DM) is a complication of chronic pancreatitis (CP). Whether pancreatogenic diabetes associated with CP-DM represents a discrete pathophysiologic entity from type 2 DM (T2DM) remains uncertain. Addressing this question is needed for development of specific measures to manage CP-DM. We approached this question from a unique standpoint, hypothesizing that if CP-DM and T2DM are separate disorders, they should be genetically distinct. To test this hypothesis, we sought to determine whether a genetic risk score (GRS) based on validated single nucleotide polymorphisms for T2DM could distinguish between groups with CP-DM and T2DM. Methods: We used 60 T2DM single nucleotide polymorphisms to construct a weighted GRS in 1,613 subjects from the North American Pancreatitis Study 2 and 2,685 subjects from the Multi-Ethnic Study of Atherosclerosis, all of European origin. Results: The mean GRS was identical between 321 subjects with CP-DM and 423 subjects with T2DM (66.53 vs 66.42, P = 0.95), and the GRS of both diabetic groups was significantly higher than that of nondiabetic controls (n = 3,554, P < 0.0001). Exploratory analyses attempting to enrich the CP-DM group for pancreatogenic diabetes, such as eliminating diabetes diagnosed before CP, requiring pancreas-specific comorbidities, or removing those with a family history of diabetes, did not improve the ability of the GRS to distinguish between CP-DM and T2DM. Discussion: Recognizing that we lacked a gold standard to define CP-DM, our study suggests that CP-DM may be a subtype of T2DM, a notion that should be tested in future, large prospective studies.
Published: 2019

157. Genome-wide association study identifies novel loci for type 2 diabetes-attributed end-stage kidney disease in African Americans

Author: Jianzhao Xu, Nora Franceschini, Pamela J. Hicks, Meijian Guan, Wendy S. Post, Swapan K Das, Lijun Ma, Barry I. Freedman, John R. Sedor, Yii-Der Ida Chen, Denyse Thornley-Brown, Laura J. Rasmussen-Torvik, Donald W. Bowden, Josef Coresh, Jacob M. Keaton, Carl D. Langefeld, Maggie C.Y. Ng, Adrienne Tin, Holly Kramer, Josyf C. Mychaleckyj, Jerome I. Rotter, Stephen S. Rich, Nicholette D. Palmer, Myriam Fornage, Latchezar Dimitrov, Rulan S. Parekh, and James G. Wilson
Subjects: Genome-wide association study, medicine.medical_specialty, lcsh:QH426-470, lcsh:Medicine, Locus (genetics), Type 2 diabetes, Disease, 03 medical and health sciences, Internal medicine, Drug Discovery, Genotype, Genetics, Genetic predisposition, Medicine, Diabetic kidney disease, 1000 Genomes Project, Molecular Biology, African Americans, 0303 health sciences, business.industry, lcsh:R, 030305 genetics & heredity, End-stage kidney disease, medicine.disease, 3. Good health, lcsh:Genetics, Molecular Medicine, Primary Research, business, Kidney disease
Abstract: Background End-stage kidney disease (ESKD) is a significant public health concern disproportionately affecting African Americans (AAs). Type 2 diabetes (T2D) is the leading cause of ESKD in the USA, and efforts to uncover genetic susceptibility to diabetic kidney disease (DKD) have had limited success. A prior genome-wide association study (GWAS) in AAs with T2D-ESKD was expanded with additional AA cases and controls and genotypes imputed to the higher density 1000 Genomes reference panel. The discovery analysis included 3432 T2D-ESKD cases and 6977 non-diabetic non-nephropathy controls (N = 10,409), followed by a discrimination analysis in 2756 T2D non-nephropathy controls to exclude T2D-associated variants. Results Six independent variants located in or near RND3/RBM43, SLITRK3, ENPP7, GNG7, and APOL1 achieved genome-wide significant association (P
Published: 2019

158. A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

Author: Bamidele O. Tayo, RJ Waken, Mario Sims, Diane M. Becker, Tõnu Esko, Yingchang Lu, Pamela J. Schreiner, Antonietta Robino, Anne U. Jackson, H. Janaka de Silva, Peter J. van der Most, Archie Campbell, Ozren Polasek, Salman M. Tajuddin, Jing Hua Zhao, Barbara V. Howard, Saima Afaq, Vilmundur Gudnason, Lynda M. Rose, Francis S. Collins, Massimiliano Cocca, Ruth J. F. Loos, Yii-Der Ida Chen, W. James Gauderman, Jaspal S. Kooner, Lawrence F. Bielak, Ulrich Broeckel, Anuradhani Kasturiratne, Melissa A. Richard, Tomohiro Katsuya, Nicola D. Kerrison, Tin Aung, Lisa de las Fuentes, Lynne E. Wagenknecht, Oscar H. Franco, Yongmei Liu, Eric Boerwinkle, Nana Matoba, Saskia P. Hagenaars, Rob M. van Dam, Tibor V. Varga, Nilesh J. Samani, Tangchun Wu, Thomas H. Mosley, Caroline Hayward, Joseph H. Lee, Frida Renström, Tamara B. Harris, Alena Stančáková, Adesola Ogunniyi, Wen Bin Wei, Lenore J. Launer, Marcus Dörr, Xiuqing Guo, Jennifer A. Smith, Terho Lehtimäki, Dan E. Arking, Fang-Chi Hsu, Karin Leander, Martin Farrall, Konstantin Strauch, Albert V. Smith, Richard S. Cooper, Chiea Chuen Khor, Changwei Li, James E. Hixson, Sami Heikkinen, David R. Weir, Pirjo Komulainen, Renée de Mutsert, Raymond Noordam, Ubaydah Nasri, Paul M. Ridker, C. Charles Gu, Tamuno Alfred, Jerome I. Rotter, Nora Franceschini, Nita G. Forouhi, Lihua Wang, Alanna C. Morrison, Jian-Min Yuan, Ching-Yu Cheng, Peter S. Braund, Paul Elliott, Gregory P. Wilson, Jianjun Liu, Xiaofeng Zhu, Markku Laakso, Christian Gieger, Yukihide Momozawa, Rainer Rettig, Carsten Oliver Schmidt, Amy R. Bentley, Wei Zhao, Ioanna Ntalla, Kenneth Rice, Yoichiro Kamatani, Andres Metspalu, Helen R. Warren, Yechiel Friedlander, Susan Redline, Kurt Lohman, Cornelia M. van Duijn, Aravinda Chakravarti, Traci M. Bartz, Sarah E. Harris, Yih Chung Tham, He Gao, Mike A. Nalls, Mathilde Boissel, Donna K. Arnett, Harold Snieder, James S. Pankow, Babatunde L. Salako, Laura J. Bierut, Tin Louie, Albertine J. Oldehinkel, Xueling Sim, Thomas Meitinger, Maris Alver, Claudia Langenberg, Stephen B. Kritchevsky, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Alexandre C. Pereira, Michael R. Brown, Karen Schwander, Charles Kooperberg, Blair H. Smith, Annette Peters, Fernando Pires Hartwig, Yanhua Zhou, Jie Yao, Alisa K. Manning, Keng-Hung Lin, Dennis O. Mook-Kanamori, Ervin R. Fox, Tuomo Rankinen, Timo A. Lakka, Charles N. Rotimi, Nicholette D. Palmer, Jiang He, Nicholas J. Wareham, Jingmin Liu, Yun Ju Sung, Cathy C. Laurie, Donald W. Bowden, Yong-Bing Xiang, Lisa R. Yanek, B. Kuhnel, Nancy L. Pedersen, Yajuan Wang, Ananda R. Wickremasinghe, Jonathan Marten, Yi-Jen Hung, Dabeeru C. Rao, Bernardo L. Horta, Joel D. Kaufman, Barry I. Freedman, Chuan Gao, Olli T. Raitakari, Reedik Mägi, Solomon K. Musani, Albert Hofman, Wanqing Wen, Heming Wang, Xiao-Ou Shu, Y Liu, Mark J. Caulfield, Meian He, Daniel I. Chasman, Carl D. Langefeld, Charumathi Sabanayagam, Bruce M. Psaty, Jasmin Divers, R. Graham Barr, Chew-Kiat Heng, Stella Aslibekyan, John M. Starr, Stefan Weiss, Anuj Goel, Tuomas O. Kilpeläinen, Terrence Forrester, Mary F. Feitosa, Jost B. Jonas, Kae-Woei Liang, Colleen M. Sitlani, Daniel Levy, Marie Loh, Qing Duan, Aldi T. Kraja, Tien Yin Wong, Myriam Fornage, Andrea R. V. R. Horimoto, Michele K. Evans, David J. Porteous, Dina Vojinovic, Hua Tang, Michael A. Province, Ching-Ti Liu, Rainer Rauramaa, William R. Scott, Cora E. Lewis, Charles B. Eaton, Sharon L.R. Kardia, Michael Boehnke, James Scott, Colin A McKenzie, Jin-Fang Chai, Woon-Puay Koh, Yucheng Jia, Claude Bouchard, Peter S. Sever, Koichi Matsuda, Najaf Amin, Ulf de Faire, Walter Palmas, André G. Uitterlinden, Thomas T. Perls, Erin B. Ware, Wayne Huey-Herng Sheu, Michiaki Kubo, Ya Xing Wang, Hugh Watkins, Steven C. Hunt, Weihua Zhang, Johanna Kuusisto, Lili Milani, Rajkumar Dorajoo, Georg Ehret, L. Adrienne Cupples, Franco Giulianini, Zoltán Kutalik, Jose E Krieger, Kevin Sandow, Bruna Gigante, Alexander P. Reiner, Preeti Gupta, Heikki A. Koistinen, Treva Rice, Patricia B. Munroe, Wen-Jane Lee, Jennifer A. Brody, Paolo Gasparini, Paul W. Franks, Yik Ying Teo, Leo-Pekka Lyytikäinen, Thomas W. Winkler, Patricia A. Peyser, Ian J. Deary, Jessica D. Faul, Sing Hui Lim, Fumihiko Takeuchi, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, E. Shyong Tai, Candace M Kammerer, Mary K. Wojczynski, Pim van der Harst, Marzyeh Amini, Jennifer G. Robinson, Erwin P. Bottinger, Alan B. Zonderman, Benjamin Lehne, M. Waldenberger, Jeffrey R. O'Connell, Hugues Aschard, Ilaria Gandin, Kent D. Taylor, Igor Rudan, Christopher P. Nelson, John M. C. Connell, Jian'an Luan, Mickaël Canouil, Robert A. Scott, Yize Li, Marguerite R. Irvin, Sung, Yun Ju, de Las Fuentes, Lisa, Winkler, Thomas W, Chasman, Daniel I, Bentley, Amy R, Kraja, Aldi T, Ntalla, Ioanna, Warren, Helen R, Guo, Xiuqing, Schwander, Karen, Manning, Alisa K, Brown, Michael R, Aschard, Hugue, Feitosa, Mary F, Franceschini, Nora, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K, Kilpeläinen, Tuomas O, Richard, Melissa A, Aslibekyan, Stella, Bartz, Traci M, Dorajoo, Rajkumar, Li, Changwei, Liu, Yongmei, Rankinen, Tuomo, Smith, Albert Vernon, Tajuddin, Salman M, Tayo, Bamidele O, Zhao, Wei, Zhou, Yanhua, Matoba, Nana, Sofer, Tamar, Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Giulianini, Franco, Goel, Anuj, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea R V R, Hsu, Fang-Chi, Jackson, Anne U, Kammerer, Candace M, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Leander, Karin, Lee, Wen-Jane, Lin, Keng-Hung, Luan, Jian'An, Lyytikäinen, Leo-Pekka, Mckenzie, Colin A, Nelson, Christopher P, Noordam, Raymond, Scott, Robert A, Sheu, Wayne H H, Stančáková, Alena, Takeuchi, Fumihiko, van der Most, Peter J, Varga, Tibor V, Waken, Robert J, Wang, Heming, Wang, Yajuan, Ware, Erin B, Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Alfred, Tamuno, Amin, Najaf, Arking, Dan E, Aung, Tin, Barr, R Graham, Bielak, Lawrence F, Boerwinkle, Eric, Bottinger, Erwin P, Braund, Peter S, Brody, Jennifer A, Broeckel, Ulrich, Cade, Brian, Campbell, Archie, Canouil, Mickaël, Chakravarti, Aravinda, Cocca, Massimiliano, Collins, Francis S, Connell, John M, de Mutsert, Renée, de Silva, H Janaka, Dörr, Marcu, Duan, Qing, Eaton, Charles B, Ehret, Georg, Evangelou, Evangelo, Faul, Jessica D, Forouhi, Nita G, Franco, Oscar H, Friedlander, Yechiel, Gao, He, Gigante, Bruna, Gu, C Charle, Gupta, Preeti, Hagenaars, Saskia P, Harris, Tamara B, He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hofman, Albert, Howard, Barbara V, Hunt, Steven C, Irvin, Marguerite R, Jia, Yucheng, Katsuya, Tomohiro, Kaufman, Joel, Kerrison, Nicola D, Khor, Chiea Chuen, Koh, Woon-Puay, Koistinen, Heikki A, Kooperberg, Charles B, Krieger, Jose E, Kubo, Michiaki, Kutalik, Zoltan, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Joseph H, Lehne, Benjamin, Levy, Daniel, Lewis, Cora E, Li, Yize, Lim, Sing Hui, Liu, Ching-Ti, Liu, Jianjun, Liu, Jingmin, Liu, Yeheng, Loh, Marie, Lohman, Kurt K, Louie, Tin, Mägi, Reedik, Matsuda, Koichi, Meitinger, Thoma, Metspalu, Andre, Milani, Lili, Momozawa, Yukihide, Mosley, Thomas H, Nalls, Mike A, Nasri, Ubaydah, O'Connell, Jeff R, Ogunniyi, Adesola, Palmas, Walter R, Palmer, Nicholette D, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Porteous, David, Raitakari, Olli T, Renström, Frida, Rice, Treva K, Ridker, Paul M, Robino, Antonietta, Robinson, Jennifer G, Rose, Lynda M, Rudan, Igor, Sabanayagam, Charumathi, Salako, Babatunde L, Sandow, Kevin, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Sever, Peter, Sims, Mario, Sitlani, Colleen M, Smith, Blair H, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Tang, Hua, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G, Waldenberger, Melanie, Wang, Lihua, Wang, Ya Xing, Wei, Wen Bin, Wilson, Gregory, Wojczynski, Mary K, Xiang, Yong-Bing, Yao, Jie, Yuan, Jian-Min, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Chen, Yii-Der Ida, Weir, David R, de Faire, Ulf, Deary, Ian J, Esko, Tõnu, Farrall, Martin, Forrester, Terrence, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo Lessa, Hung, Yi-Jen, Jonas, Jost Bruno, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Lehtimäki, Terho, Liang, Kae-Woei, Magnusson, Patrik K E, Oldehinkel, Albertine J, Pereira, Alexandre C, Perls, Thoma, Rauramaa, Rainer, Redline, Susan, Rettig, Rainer, Samani, Nilesh J, Scott, Jame, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E, Wareham, Nicholas J, Watkins, Hugh, Wickremasinghe, Ananda R, Wu, Tangchun, Kamatani, Yoichiro, Laurie, Cathy C, Bouchard, Claude, Cooper, Richard S, Evans, Michele K, Gudnason, Vilmundur, Hixson, Jame, Kardia, Sharon L R, Kritchevsky, Stephen B, Psaty, Bruce M, van Dam, Rob M, Arnett, Donna K, Mook-Kanamori, Dennis O, Fornage, Myriam, Fox, Ervin R, Hayward, Caroline, van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Loos, Ruth J F, Reiner, Alex P, Rotimi, Charles N, Bierut, Laura J, Zhu, Xiaofeng, Cupples, L Adrienne, Province, Michael A, Rotter, Jerome I, Franks, Paul W, Rice, Kenneth, Elliott, Paul, Caulfield, Mark J, Gauderman, W Jame, Munroe, Patricia B, Rao, Dabeeru C, Morrison, Alanna C, Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Brigham and Women's Hospital [Boston], Queen Mary University of London (QMUL), Harbor UCLA Medical Center [Torrance, Ca.], Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Harvard School of Public Health, European Genomic Institute for Diabetes - FR 3508 (EGID), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), The University of Texas Health Science Center at Houston (UTHealth), U.S. National Heart, Lung, and Blood Institute (NHLBI) (K25HL121091 to Y.J.S.), National Institutes of Health (R01HL118305), We thank anonymous reviewers for critical reading and providing constructive and insightful comments, which substantially improved the article. This project, like several other projects, was carried out as part of the CHARGE Gene–Lifestyle Interactions Working Group., Conflict of Interest statement. The authors declare no competing financial interests except for the following: B.M.P. serves on the Data and Safety Monitoring Board of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson, O.H.F. received grants from Metagenics (on women’s health and epigenetics) and from Nestle (on child health), L.J.B. is listed as an inventor on Issued U.S. Patent 8,080,371,‘Markers for Addiction’ covering the use of certain SNPs in determining the diagnosis, prognosis and treatment of addiction, P.S. has received research awards from Pfizer Inc, J.B.J. is a consultant for Mundipharma Co. (Cambridge, UK), Patent holder with Biocompatibles UK Ltd (Franham, Surrey, UK) (title: treatment of eye diseases using encapsulated cells encoding and secreting neuroprotective factor and/or anti-angiogenic factor, Patent number: 20120263794) and Patent application with University of Heidelberg (Heidelberg, Germany) (title: agents for use in the therapeutic or prophylactic treatment of myopia or hyperopia, Europäische Patentanmeldung 15000771.4), P.W.F. has been a paid consultant for Eli Lilly and Sanofi Aventis and has received research support from several pharmaceutical companies as part of a European Union Innovative Medicines Initiative project, M.A.N.'s participation is supported by a consulting contract between Data Tecnica International and the National Institute on Aging, National Institutes of Health, Bethesda, MD, USA, M.A.N. also consults for Illumina Inc, the Michael J. Fox Foundation and University of California Healthcare among others, and M.J. C. is chief scientist for Genomics England, a UK government company., Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Européen de Génomique du Diabète - European Genomic Institute for Diabetes - FR 3508 (EGID), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Epidemiology, Internal Medicine, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), University Management, Department of Medicine, University of Helsinki, HUS Abdominal Center, Endokrinologian yksikkö, Marten, Jonathan [0000-0001-6916-2014], Luan, Jian'an [0000-0003-3137-6337], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, and Medical Research Council (MRC)
Subjects: Male, Receptors, Vasopressin, multi-ancestry, Genome-wide association study, Blood Pressure, HYDROCARBON RECEPTOR AHR, 030204 cardiovascular system & hematology, Antiporters, gene-smoking interaction, 0302 clinical medicine, Polymorphism (computer science), genome-wide study, Ethnicity, OXIDATIVE STRESS, Association Studies Article, 11 Medical and Health Sciences, Genetics (clinical), Genetics & Heredity, Genetics, ddc:616, Aged, 80 and over, 0303 health sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP], DEPENDENT HYPERTENSION, CARDIOVASCULAR RISK, Smoking, 1184 Genetics, developmental biology, physiology, General Medicine, ASSOCIATION, Middle Aged, Caspase 9, 3. Good health, Pulse pressure, ENVIRONMENT INTERACTION, Sulfate Transporters, T-CADHERIN, Hypertension, Female, Life Sciences & Biomedicine, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Adult, Biochemistry & Molecular Biology, Mean arterial pressure, Adolescent, Diastole, Biology, elevated blood pressure, gene-smoking interactions, 03 medical and health sciences, Young Adult, Insulin resistance, Lifelines Cohort Study, medicine, Humans, Arterial Pressure, Molecular Biology, METAANALYSIS, 030304 developmental biology, Aged, Science & Technology, Polymorphism, Genetic, Tumor Suppressor Proteins, Racial Groups, Membrane Proteins, 06 Biological Sciences, SYSTOLIC BLOOD-PRESSURE, BODY-MASS INDEX, medicine.disease, Blood pressure, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Heart failure, 1182 Biochemistry, cell and molecular biology, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Gene-Environment Interaction, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Genome-Wide Association Study
Abstract: Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene–smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129 913 individuals in stage 1 and follow-up analysis in 480 178 additional individuals in stage 2. We report here 136 loci significantly associated with MAP and/or PP. Of these, 61 were previously published through main-effect analysis of BP traits, 37 were recently reported by us for systolic BP and/or diastolic BP through gene–smoking interaction analysis and 38 were newly identified (P
Published: 2019

159. Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

Author: Russell P. Tracy, Mollie A. Minear, James B. Meigs, Amol C. Shetty, David Van Den Berg, Yii-Der Ida Chen, Nona Sotoodehnia, Kent D. Taylor, Soren Germer, Adolfo Correa, John Barnard, Emelia J. Benjamin, Weihong Tang, Zachary A. Szpiech, Sebastian Schoenherr, Kristin G. Ardlie, Anna Köttgen, Tanika N. Kelly, Leslie A. Lange, Michelle Daya, Dan M. Roden, Lori Garman, Xutong Zhao, Lawrence F. Bielak, Edwin K. Silverman, Daniel E. Weeks, Gina M. Peloso, Jill M. Johnsen, Hyun Min Kang, Lukas Forer, Jerome I. Rotter, Stephen T. McGarvey, Wendy S. Post, Weiniu Gan, Stephanie M. Fullerton, Jedidiah Carlson, Brian Custer, Nora Franceschini, Alvaro Alonso, Brian L. Browning, Michael H. Cho, André Corvelo, Stacey Gabriel, Xiuqing Guo, Angel C.Y. Mak, Michael Boehnke, Yingze Zhang, Timothy A. Thornton, Douglas P. Kiel, Ingo Ruczinski, Sudha Seshadri, Seung-been Lee, Scott I. Vrieze, Charles Kooperberg, Stephanie M. Gogarten, John Blangero, Brandon Chalazan, Seung Hoan Choi, Dawood Darbar, Braxton D. Mitchell, Alisa K. Manning, Anne-Katrin Emde, Xihong Lin, D. C. Rao, Eimear E. Kenny, Christine M. Albert, Xiaowen Tian, Allison E. Ashley-Koch, Mina K. Chung, Pradeep Natarajan, Rebecca L. Beer, Stella Aslibekyan, Jiang He, Patrick T. Ellinor, James F. Casella, Richard A. Gibbs, Alanna C. Morrison, Clary B. Clish, Nancy L. Heard-Costa, Susan R. Heckbert, Daniel N. Harris, Myriam Fornage, M. Benjamin Shoemaker, Kari E. North, Courtney G. Montgomery, Sanghamitra Mohanty, Lewis C. Becker, George J. Papanicolaou, Chunyu Liu, Michael D. Kessler, Susan K. Dutcher, Marguerite R. Irvin, Daniel Levy, Karine A. Viaud-Martinez, Joanne E. Curran, Jonathon LeFaive, Dawn L. DeMeo, Mark T. Gladwin, Quenna Wong, Andrea Natale, Adrienne M. Stilp, Patricia A. Peyser, Robert Klemmer, Jessica Lasky-Su, Donald W. Bowden, Kathryn L. Lunetta, Rasika A. Mathias, Brian E. Cade, Kathleen C. Barnes, Daniel Taliun, Douglas Loesch, Sharon R. Browning, Joanne M. Murabito, Esteban G. Burchard, Sarah A Gagliano Taliun, Daniel J. Gottlieb, Timothy D. O’Connor, Deborah A. Meyers, Jennifer A. Brody, Ryan D. Hernandez, Andrew D. Johnson, Eric Boerwinkle, Sebastian Zöllner, Ruth J. F. Loos, Nicholas L. Smith, Gonçalo R. Abecasis, Jennifer A. Smith, Michael E. Hall, Lu-Chen Weng, Jeffrey R. O'Connell, Kenneth Rice, Donna K. Arnett, Nicholette D. Palmer, Bruce S. Weir, L. Adrienne Cupples, Barbara A. Konkle, Paul L. Auer, Cathy C. Laurie, Julie L. Mikulla, Deborah A. Nickerson, Alexander P. Reiner, Chloé Sarnowski, Raul Torres, Susan Redline, Mariza de Andrade, Vivien A. Sheehan, Cashell E. Jaquish, Pankaj Qasba, R. Graham Barr, Scott T. Weiss, Ani Manichaikul, Robert E. Gerszten, Albert V. Smith, Steven A. Lubitz, Cristen J. Willer, Michael C. Zody, Jeong-Sun Seo, Diane Fatkin, Christian Fuchsberger, François Aguet, Sharon L.R. Kardia, James G. Wilson, Marilyn J. Telen, Ramachandran S. Vasan, Nathan Pankratz, Keng-Han Lin, Shannon Kelly, Wayne E. Clarke, Sarah C. Nelson, May E. Montasser, Stephen S. Rich, Sayantan Das, Thomas W. Blackwell, Bruce M. Psaty, Leslie S. Emery, Achilleas N. Pitsillides, and David D. McManus
Subjects: Whole genome sequencing, 0303 health sciences, Genotype imputation, Disease, Computational biology, Biology, Precision medicine, Phenotype, Genome, Genetic architecture, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, 030217 neurology & neurosurgery, 030304 developmental biology, Reference genome
Abstract: Summary paragraphThe Trans-Omics for Precision Medicine (TOPMed) program seeks to elucidate the genetic architecture and disease biology of heart, lung, blood, and sleep disorders, with the ultimate goal of improving diagnosis, treatment, and prevention. The initial phases of the program focus on whole genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here, we describe TOPMed goals and design as well as resources and early insights from the sequence data. The resources include a variant browser, a genotype imputation panel, and sharing of genomic and phenotypic data via dbGaP. In 53,581 TOPMed samples, >400 million single-nucleotide and insertion/deletion variants were detected by alignment with the reference genome. Additional novel variants are detectable through assembly of unmapped reads and customized analysis in highly variable loci. Among the >400 million variants detected, 97% have frequency
Published: 2019

160. A Genome-Wide Association Study Identifies Blood Disorder-Related Variants Influencing Hemoglobin A

Author: Jee-Young, Moon, Tin L, Louie, Deepti, Jain, Tamar, Sofer, Claudia, Schurmann, Jennifer E, Below, Chao-Qiang, Lai, M Larissa, Aviles-Santa, Gregory A, Talavera, Caren E, Smith, Lauren E, Petty, Erwin P, Bottinger, Yii-Der Ida, Chen, Kent D, Taylor, Martha L, Daviglus, Jianwen, Cai, Tao, Wang, Katherine L, Tucker, José M, Ordovás, Craig L, Hanis, Ruth J F, Loos, Neil, Schneiderman, Jerome I, Rotter, Robert C, Kaplan, and Qibin, Qi
Subjects: Adult, Blood Glucose, Glycated Hemoglobin, Male, Cardiovascular and Metabolic Risk, endocrine system diseases, nutritional and metabolic diseases, Genetic Variation, Fasting, Hispanic or Latino, Glucose Tolerance Test, Middle Aged, Hematologic Diseases, United States, Prediabetic State, Phenotype, Hyperglycemia, Diabetes Mellitus, Prevalence, Humans, Female, Alleles, Genome-Wide Association Study
Abstract: OBJECTIVE: We aimed to identify hemoglobin A(1c) (HbA(1c))-associated genetic variants and examine their implications for glycemic status evaluated by HbA(1c) in U.S. Hispanics/Latinos with diverse genetic ancestries. RESEARCH DESIGN AND METHODS: We conducted a genome-wide association study (GWAS) of HbA(1c) in 9,636 U.S. Hispanics/Latinos without diabetes from the Hispanic Community Health Study/Study of Latinos, followed by a replication among 4,729 U.S. Hispanics/Latinos from three independent studies. RESULTS: Our GWAS and replication analyses showed 10 previously known and novel loci associated with HbA(1c) at genome-wide significance levels (P < 5.0 × 10(−8)). In particular, two African ancestry–specific variants, HBB-rs334 and G6PD-rs1050828, which are causal mutations for sickle cell disease and G6PD deficiency, respectively, had ∼10 times larger effect sizes on HbA(1c) levels (β = −0.31% [−3.4 mmol/mol]) and −0.35% [−3.8 mmol/mol] per minor allele, respectively) compared with other HbA(1c)-associated variants (0.03–0.04% [0.3–0.4 mmol/mol] per allele). A novel Amerindian ancestry–specific variant, HBM-rs145546625, was associated with HbA(1c) and hematologic traits but not with fasting glucose. The prevalence of hyperglycemia (prediabetes and diabetes) defined using fasting glucose or oral glucose tolerance test 2-h glucose was similar between carriers of HBB-rs334 or G6PD-rs1050828 HbA(1c)-lowering alleles and noncarriers, whereas the prevalence of hyperglycemia defined using HbA(1c) was significantly lower in carriers than in noncarriers (12.2% vs. 28.4%, P < 0.001). After recalibration of the HbA(1c) level taking HBB-rs334 and G6PD-rs1050828 into account, the prevalence of hyperglycemia in carriers was similar to noncarriers (31.3% vs. 28.4%, P = 0.28). CONCLUSIONS: This study in U.S. Hispanics/Latinos found several ancestry-specific alleles associated with HbA(1c) through erythrocyte-related rather than glycemic-related pathways. The potential influences of these nonglycemic-related variants need to be considered when the HbA(1c) test is performed.
Published: 2019

161. Exome-derived adiponectin-associated variants implicate obesity and lipid biology

Author: Peter Kovacs, Judith B. Borja, Karen L. Mohlke, Jennifer Kriebel, Kent D. Taylor, Stuart MacGregor, Ruth J. F. Loos, Carol A. Wang, Cornelia M. van Duijn, Samuli Ripatti, Ko Willems van Dijk, Jaeyoung Hong, Yingchang Lu, Leslie A. Lange, Terho Lehtimäki, Matthias Blüher, Cassandra N. Spracklen, Michael A. Province, Craig E. Pennell, Laura B. L. Wittemans, Yii-Der Ida Chen, Alex P. Reiner, Nicholas J. Wareham, Massimo Mangino, Kristin L. Young, Tuomas O. Kilpeläinen, David A. Mackey, Michael Preuss, Mika Kähönen, Sara M. Willems, Paraskevi Chirstofidou, Tamara B. Harris, Matthew A. Allison, Michael Boehnke, Jian'an Luan, Cristina Venturini, Kari E. North, Chelsea K. Raulerson, Linda Broer, Paul M. Ridker, Colleen M. Sitlani, Xiuqing Guo, Leo-Pekka Lyytikäinen, Neil Roberston, Pekka Jousilahti, Barbara McKnight, M. Arfan Ikram, Heather M. Highland, Torben Hansen, Niels Grarup, Satu Männistö, James G. Wilson, Konstantin Strauch, Mariaelisa Graff, Ayse Demirkan, Rebecca S. Fine, Tugce Karaderi, Linda S. Adair, Jie Yao, Olli T. Raitakari, Zoltán Kutalik, Jeffrey Haesser, Veikko Salomaa, Sophie Molnos, Rebecca D. Jackson, Renée de Mutsert, Markku Laakso, Mark I. McCarthy, Carolina Medina-Gomez, America A. Sandoval-Zárate, Anke Tönjes, Daniel I. Chasman, Shuai Wang, Michael Stumvoll, Jette Bork-Jensen, Claudia Langenberg, Paul L. Auer, Anubha Mahajan, Claudia Schurmann, Mary F. Feitosa, Melissa E. Garcia, Tim D. Spector, Aruna D. Pradhan, Jorge R. Kizer, Timothy M. Frayling, Ying Wu, James B. Meigs, Andrew P. Morris, Harald Grallert, André G. Uitterlinden, Cecilia M. Lindgren, Traci M. Bartz, Mike A. Nalls, Erik Ingelsson, Jerome I. Rotter, Mark Walker, Ruifang Li-Gao, Ivana Nedeljkovic, Najaf Amin, Hanieh Yaghootkar, Dennis O. Mook-Kanamori, Betina H. Thuesen, Lars Lind, Jin Li, Epidemiology, Internal Medicine, Centre of Excellence in Complex Disease Genetics, Department of Public Health, Samuli Olli Ripatti / Principal Investigator, University Management, Biostatistics Helsinki, University of Helsinki, Institute for Molecular Medicine Finland, Complex Disease Genetics, and Medical and Clinical Psychology
Subjects: Male, 0301 basic medicine, Candidate gene, Adipose tissue, Genome-wide association study, DISEASE, CANDIDATE GENES, 0302 clinical medicine, Cqardio metabolic traits, RARE, Exome, Genetics (clinical), Aged, 80 and over, Genetics, 0303 health sciences, 1184 Genetics, developmental biology, physiology, Hispanic or Latino, Middle Aged, Lipids, Phenotype, ADIPOSE-TISSUE, Adipose Tissue, 030220 oncology & carcinogenesis, Medical genetics, Female, CIRCULATING ADIPONECTIN, Adiponectin, Adult, EXPRESSION, medicine.medical_specialty, Adolescent, Quantitative Trait Loci, 030209 endocrinology & metabolism, Biology, Polymorphism, Single Nucleotide, Article, White People, Young Adult, 03 medical and health sciences, Cardio Metabolic Traits, Genome-wide Association Study, Obesity, SDG 3 - Good Health and Well-being, medicine, GLYCEMIC TRAITS, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Gene, METAANALYSIS, 030304 developmental biology, Aged, PLASMA ADIPONECTIN, Correction, medicine.disease, Human genetics, Black or African American, 030104 developmental biology, Expression quantitative trait loci, 3111 Biomedicine
Abstract: Circulating levels of adiponectin, an adipocyte-secreted protein associated with cardiovascular and metabolic risk, are highly heritable. To gain insights into the biology that regulates adiponectin levels, we performed an exome array meta-analysis of 265,780 genetic variants in 67,739 individuals of European, Hispanic, African American, and East Asian ancestry. We identified 20 loci associated with adiponectin, including 11 that had been reported previously (p -7). Comparison of exome array variants to regional linkage disequilibrium (LD) patterns and prior genome-wide association study (GWAS) results detected candidate variants (r2 > .60) spanning as much as 900 kb. To identify potential genes and mechanisms through which the previously unreported association signals act to affect adiponectin levels, we assessed cross-trait associations, expression quantitative trait loci in subcutaneous adipose, and biological pathways of nearby genes. Eight of the nine loci were also associated (p -4) with at least one obesity or lipid trait. Candidate genes include PRKAR2A, PTH1R, and HDAC9, which have been suggested to play roles in adipocyte differentiation or bone marrow adipose tissue. Taken together, these findings provide further insights into the processes that influence circulating adiponectin levels.
Published: 2019

162. Tissue-Specific Alteration of Metabolic Pathways Influences Glycemic Regulation

Author: Wieland Kiess, Josée Dupuis, Yingchang Lu, Yii-Der Ida Chen, Sara M. Willems, George Dedoussis, Frida Renström, Carolina Medina-Gomez, Tamara B. Harris, Cramer Christensen, Audrey Y. Chu, Nicola L. Beer, Emil V. R. Appel, Niels Grarup, Fredrik Karpe, Mark I. McCarthy, Yuning Chen, Veikko Salomaa, Sylvain Sebert, Richard A. Jensen, Joel N. Hirschhorn, Lars Lind, Jocelyn E. Manning Fox, Caroline Hayward, Patrick E. MacDonald, Matti Uusitupa, Stavroula Kanoni, Carola Marzi, Kenneth Rice, Leslie A. Lange, Ken Sin Lo, Jennifer L. Asimit, Nisa M. Maruthur, Leonard Lipovich, James S. Floyd, Rona J. Strawbridge, Magdalena Zoledziewska, Anne Raimondo, Robert Sladek, Alexandra I. F. Blakemore, Hugoline G. de Haan, Danish Saleheen, Ji Chen, Neil Robertson, Ching-Yu Cheng, Heiner Boeing, Min A. Jhun, Marjo-Riitta Järvelin, Anubha Mahajan, Rainer Rauramaa, Satu Männistö, Paul M. Ridker, Ivan Brandslund, Hester M. den Ruijter, Tien Yin Wong, Alison D. Murray, Jaakko Tuomilehto, Xueling Sim, Igor Rudan, Martijn van de Bunt, Jin Li, Marit E. Jørgensen, Marie-France Hivert, Archie Campbell, Salman M. Tajuddin, Pekka Jousilahti, Lawrence F. Bielak, Juan P. Fernandez, Eleanor Wheeler, Alan B. Zonderman, Anne Clark, Lori L. Bonnycastle, Kurt Lohman, Peter Kovacs, Jung-Jin Lee, Jennifer Wessel, Wesam A Alhejily, Gerard Pasterkamp, John M. Starr, Ping An, Matthias Blüher, Jian'an Luan, Hanieh Yeghootkar, Jakob Stokholm, Michael Roden, Blair H. Smith, Johanna Jakobsdottir, Franco Giulianini, Andrianos M. Yiorkas, Hidetoshi Kitajima, Michael A. Province, Aliki-Eleni Farmaki, Kerrin S. Small, Juha Saltevo, Robert A. Scott, Alena Stančáková, Gaëlle Marenne, Asif Rasheed, Ruth J. F. Loos, David J. Porteous, Cecilia M. Lindgren, Inês Barroso, Gail Davies, Anna L. Gloyn, Shuai Wang, Paul Redmond, Xiuqing Guo, Ele Ferrannini, Mariaelisa Graff, Cornelia M. van Duijn, Juha Auvinen, David R. Weir, Kay-Tee Kaw, Tarunveer S. Ahluwalia, Olov Rolandsson, Wei Zhao, Paul Elliott, Torben Hansen, Abbas Dehghan, Bram P. Prins, Michiel L. Bots, Alison Pattie, Jun Liu, Gonçalo R. Abecasis, Maria Karaleftheri, Claudia Langenberg, Jan-Håkan Jansson, Marja Vääräsmäki, James S. Pankow, Rebecca S. Fine, Jaana Lindström, Ozren Polasek, Vinicius Tragante, Soren K. Thomsen, Jana K. Rundle, Najaf Amin, Saima Afaq, Jennifer A. Smith, Anne U. Jackson, Eirini Marouli, Weihua Zhang, Tim D. Spector, Paul W. Franks, Serena Sanna, Mark J. Caulfield, Heikki A. Koistinen, Jaspal S. Kooner, Tea Skaaby, Francis S. Collins, Eva Rabing Brix Petersen, Arfan Ikram, Sander W. van der Laan, Johanna Kuusisto, Jette Bork-Jensen, Daniel I. Chasman, Michele K. Evans, Emmanouil Tsafantakis, A. I. Tarasov, Ian J. Deary, Hans Bisgaard, Dennis O. Mook-Kanamori, Helen R. Warren, Kent D. Taylor, Andrew D. Morris, Eleftheria Zeggini, Sharon L.R. Kardia, Emma Ahlqvist, Gert J. de Borst, Torben Jørgensen, Antonella Mulas, Man Li, Betina H. Thuesen, Yuan Shi, Timo A. Lakka, Jie Yao, Tapani Ebeling, Natasha H. J. Ng, Sai Chen, Leena Kinnunen, Antje Körner, Klaus Bønnelykke, Lorraine Southam, Anette P. Gjesing, Ilonca Vaartjes, Heather M. Highland, Göran Hallmans, Anke Tönjes, Markku Laakso, Lenore J. Launer, Josef Coresh, Oscar H. Franco, Yongmei Liu, Beverley Balkau, Leena Moilanen, Karl-Heinz Herzig, James G. Wilson, Jennifer A. Brody, Renée de Mutsert, Alisa K. Manning, Anne E. Justice, Matthias B. Schulze, Sandosh Padmanabhan, Jose C. Florez, Shuang Feng, Heather M. Stringham, Bruce M. Psaty, Erwin P. Bottinger, Hannu Puolijoki, Vilmundur Gudnason, Leif Groop, Nicholas J. Wareham, Karina Meidtner, Andrew P. Morris, Taulant Muka, Benoit Hastoy, Panos Deloukas, Pirjo Komulainen, Ayse Demirkan, Francesco Cucca, Stefan Gustafsson, Eric Boerwinkle, Patrik Rorsman, Mike A. Nalls, Erik Ingelsson, Colin N. A. Palmer, Allan Linneberg, Tiinamaija Tuomi, Dan E. Arking, Steve Franks, Jonathan Marten, Mark Walker, Ruifang Li-Gao, Kai Savonen, Michael Stumvoll, Andreas Fritsche, E-Shyong Tai, Mark O. Goodarzi, Matt J. Neville, Oluf Pedersen, Eero Kajantie, Ching-Ti Liu, Michael Boehnke, Aaron Leong, Patricia B. Munroe, Patricia A. Peyser, Jessica D. Faul, John C. Chambers, John Danesh, Sirkka Keinänen-Kiukaanniemi, Giorgio Pistis, Karen L. Mohlke, Folkert W. Asselbergs, James B. Meigs, Tibor V. Varga, Erica L. Kleinbrink, Andrew T. Hattersley, Nathan A. Bihlmeyer, Harald Grallert, Albert V. Smith, Konstantin Strauch, Jerome I. Rotter, and Frits R. Rosendaal
Subjects: medicine.medical_specialty, G6PC2, pathways, Adipose tissue, Type 2 diabetes, Biology, effector transcript, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Diabetes mellitus, Internal medicine, 0502 economics and business, medicine, Glucose homeostasis, genetics, 050207 economics, 030304 developmental biology, Glycemic, 0303 health sciences, 050208 finance, Pancreatic islets, 05 social sciences, tissue, Genomics, medicine.disease, Endocrinology, medicine.anatomical_structure, chemistry, glycemic traits, Glycated hemoglobin, type 2 diabetes, 030217 neurology & neurosurgery
Abstract: SummaryMetabolic dysregulation in multiple tissues alters glucose homeostasis and influences risk for type 2 diabetes (T2D). To identify pathways and tissues influencing T2D-relevant glycemic traits (fasting glucose [FG], fasting insulin [FI], two-hour glucose [2hGlu] and glycated hemoglobin [HbA1c]), we investigated associations of exome-array variants in up to 144,060 individuals without diabetes of multiple ancestries. Single-variant analyses identified novel associations at 21 coding variants in 18 novel loci, whilst gene-based tests revealed signals at two genes, TF (HbA1c) and G6PC (FG, FI). Pathway and tissue enrichment analyses of trait-associated transcripts confirmed the importance of liver and kidney for FI and pancreatic islets for FG regulation, implicated adipose tissue in FI and the gut in 2hGlu, and suggested a role for the non-endocrine pancreas in glucose homeostasis. Functional studies demonstrated that a novel FG/FI association at the liver-enriched G6PC transcript was driven by multiple rare loss-of-function variants. The FG/HbA1c-associated, islet-specific G6PC2 transcript also contained multiple rare functional variants, including two alleles within the same codon with divergent effects on glucose levels. Our findings highlight the value of integrating genomic and functional data to maximize biological inference.Highlights23 novel coding variant associations (single-point and gene-based) for glycemic traits51 effector transcripts highlighted different pathway/tissue signatures for each traitThe exocrine pancreas and gut influence fasting and 2h glucose, respectivelyMultiple variants in liver-enriched G6PC and islet-specific G6PC2 influence glycemia
Published: 2019

163. Coding Variant In LEP Associated with Lower Leptin Concentrations Implicates Leptin in the Regulation of Early Adiposity

Author: Rebecca D. Jackson, Jeffrey Haesser, Lars Lind, Germán D. Carrasquilla, Michael A. Province, Paraskevi Christofidou, Charles A. LeDuc, Neil R. Robertson, Tim Kacprowski, Michael Preuss, James G. Wilson, Paul L. Auer, Barbara McKnight, Tuomas O. Kilpeläinen, Satu Männistö, André G. Uitterlinden, Kent D. Taylor, Konstantin Strauch, Cristina Venturini, Mike A. Nalls, Erik Ingelsson, Daniel I. Chasman, Anubha Mahajan, Claudia Schurmann, Mary F. Feitosa, Melissa E. Garcia, Jin Li, Sophia Metz, Torben Hansen, Linda S. Adair, Alexander P. Reiner, Leo-Pekka Lyytikäinen, Cassandra N. Spracklen, Rebecca S. Fine, Tim D. Spector, Leslie A. Lange, Cecilia M. Lindgren, Timothy M. Frayling, Jaeyoung Hong, M. Arfan Ikram, Yingchang Lu, Jette Bork-Jensen, Mark Walker, Mariaelisa Graff, Craig E. Pennell, Paul M. Ridker, Kristin L. Young, Stephen J. Lye, Zoltán Kutalik, Yii-Der Ida Chen, Carolina Medina-Gomez, Ruifang Li-Gao, Cornelia M. van Duijn, Samuli Ripatti, Xiuqing Guo, Laura B. L. Wittemans, Nicholas J. Wareham, Sophie Molnos, Anne E. Justice, Ko Willems van Dijk, Sara M. Willems, Tugce Karaderi, Ivana Nedeljkovic, Massimo Mangino, Ying Wu, James B. Meigs, Matthias Blüher, Matthew A. Allison, Kari E. North, Peter Kovacs, Najaf Amin, Tamara Harris, Judith B. Borja, Karen L. Mohlke, Mika Kähönen, Colleen M. Sitlani, Jorge R. Kizer, David A. Mackey, Hanieh Yaghootkar, Niels Grarup, Dennis O. Mook-Kanamori, Matthias Nauck, Struan F.A. Grant, Lam Opal Huang, Jayne F. Martin Carli, Yiying Zhang, Kaiying Guo, Georg Homuth, Claudia A. Doege, Linda Broer, Ayse Demirkan, Veikko Salomaa, Harald Grallert, Tea Skaaby, Andrew P. Morris, Alexander Teumer, Olli T. Raitakari, Jerome I. Rotter, Jonathan P. Bradfield, Jennifer Kriebel, Rudolph L. Leibel, Hakon Hakonarson, Jian'an Luan, Robert A. Scott, Renée de Mutsert, America A. Sandoval-Zárate, Hermina Jakupović, Shuai Wang, Claudia Langenberg, Pekka Jousilahti, Arund D. Pradhan, Jie Yao, Terho Lehtimäki, Carol A. Wang, Bruce M. Psaty, and Ruth J. F. Loos
Subjects: 2. Zero hunger, medicine.medical_specialty, Food intake, Leptin, digestive, oral, and skin physiology, Genome-wide association study, Biology, medicine.disease, Obesity, Minor allele frequency, Endocrinology, Internal medicine, medicine, Missense mutation, Allele, Exome, hormones, hormone substitutes, and hormone antagonists
Abstract: Leptin influences food intake by informing the brain about the status of body fat stores. Rare LEP mutations associated with congenital leptin deficiency cause severe early-onset obesity that can be mitigated by administering leptin. However, the role of genetic regulation of leptin concentrations in polygenic obesity remains poorly understood. We performed an exome-based analysis in up to 57,232 individuals of diverse ancestries to identify genetic variants that influence adiposity-adjusted leptin concentrations. We confirmed five previously established and identified five novel variants, including four missense variants, in LEP, ZNF800, KLHL31, and ACTL9, and one intergenic variant near KLF14. The novel missense Val94Met (rs17151919) variant in LEP was common in individuals with African ancestry ( minor allele frequency ( MAF) AFR=8%; MAFEUR=0.02%) and was associated with 0.34 standard deviations lower leptin concentrations per Met94 allele in adults (P=2x10-16, n=3,901). Using in vitro analyses, we showed that the Met94 allele decreases leptin secretion (P=0.025). The Met94 allele was associated with higher BMI in young African-ancestry children (P=0.002, n=2,030) but not in adults, suggesting leptin regulates early adiposity.
Published: 2019

164. Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease

Author: J. Wouter Jukema, Jennifer A. Brody, Wolfgang Koenig, Patricia A. Peyser, Graciela Delgado, André G. Uitterlinden, Yii-Der Ida Chen, Jennifer A. Smith, Bruce M. Psaty, Suzette J. Bielinski, Naveed Sattar, Rasika A. Mathias, Lawrence F. Bielak, Kent D. Taylor, Jie Yao, George Davey Smith, Jack Bowden, Moniek P.M. de Maat, Diane M. Becker, Tim Kacprowski, Konstantin Strauch, Weihong Tang, Paul M. Ridker, Kerri L. Wiggins, Yi-Ping Fu, Russell P. Tracy, Cavin K. Ward-Caviness, Stella Trompet, Astrid Petersman, Lisa R. Yanek, Eric Boerwinkle, Franco Giulianini, Annette Peters, Ci Song, Barbara McKnight, Jennifer E. Huffman, Fernando Pires Hartwig, Winfried März, Xiuqing Guo, Paul S. de Vries, Lewis C. Becker, Alanna C. Morrison, Stefan Gross, Thomas Meitinger, Nicholas L. Smith, Melanie Waldenberger, Abbas Dehghan, Marcus Dörr, Marcus E. Kleber, Christopher J. O'Donnell, Sharon L.R. Kardia, Nathan Pankratz, Andrew D. Johnson, Daniel I. Chasman, Oscar H. Franco, Gibran Hemani, Jerome I. Rotter, Martina Muller-Nuraysid, Brodehl, Andreas, Epidemiology, Internal Medicine, and Hematology
Subjects: 0301 basic medicine, Epidemiology, Glycobiology, Myocardial Infarction, Coronary Disease, Genome-wide association study, 030204 cardiovascular system & hematology, Cardiovascular, Fibrinogen, Biochemistry, Vascular Medicine, Mathematical and Statistical Techniques, 0302 clinical medicine, Models, Medicine and Health Sciences, Odds Ratio, Coronary Heart Disease, Medicine, Multidisciplinary, Incidence, Statistics, Hazard ratio, Genetic Pleiotropy, Mendelian Randomization Analysis, Genomics, Metaanalysis, ddc, 3. Good health, Heart Disease, Genetic Epidemiology, Physical Sciences, Cardiology, Research Article, medicine.drug, medicine.medical_specialty, General Science & Technology, Science, Research and Analysis Methods, 03 medical and health sciences, Genetic, Internal medicine, Mendelian randomization, Genome-Wide Association Studies, Genetics, Humans, Statistical Methods, Alleles, Heart Disease - Coronary Heart Disease, Glycoproteins, Models, Genetic, business.industry, Prevention, Human Genome, Biology and Life Sciences, Computational Biology, Genetic Variation, Human Genetics, Odds ratio, Genome Analysis, Confidence interval, 030104 developmental biology, Genetic Loci, Medical Risk Factors, Multivariate Analysis, business, Mathematics, Genome-Wide Association Study
Abstract: Background: Fibrinogen is an essential hemostatic factor and cardiovascular disease risk factor. Early attempts at evaluating the causal effect of fibrinogen on coronary heart disease (CHD) and myocardial infraction (MI) using Mendelian randomization (MR) used single variant approaches, and did not take advantage of recent genome-wide association studies (GWAS) or multi-variant, pleiotropy robust MR methodologies. Methods and Findings: We evaluated evidence for a causal effect of fibrinogen on both CHD and MI using MR. We used both an allele score approach and pleiotropy robust MR models. The allele score was composed of 38 fibrinogen-associated variants from recent GWAS. Initial analyses using the allele score used a meta-analysis of 11 European-ancestry prospective cohorts, free of CHD and MI at baseline, to examine incidence CHD and MI. We also applied 2 sample MR methods with data from a prevalent CHD and MI GWAS. Results are given in terms of the hazard ratio (HR) or odds ratio (OR), depending on the study design, and associated 95% confidence interval (CI).In single variant analyses no causal effect of fibrinogen on CHD or MI was observed. In multi-variant analyses using incidence CHD cases and the allele score approach, the estimated causal effect (HR) of a 1 g/L higher fibrinogen concentration was 1.62 (CI = 1.12, 2.36) when using incident cases and the allele score approach. In 2 sample MR analyses that accounted for pleiotropy, the causal estimate (OR) was reduced to 1.18 (CI = 0.98, 1.42) and 1.09 (CI = 0.89, 1.33) in the 2 most precise (smallest CI) models, out of 4 models evaluated. In the 2 sample MR analyses for MI, there was only very weak evidence of a causal effect in only 1 out of 4 models.Conclusions: A small causal effect of fibrinogen on CHD is observed using multi-variant MR approaches which account for pleiotropy, but not single variant MR approaches. Taken together, results indicate that even with large sample sizes and multi-variant approaches MR analyses still cannot exclude the null when estimating the causal effect of fibrinogen on CHD, but that any potential causal effect is likely to be much smaller than observed in epidemiological studies.
Published: 2019

165. Home use of a compact, 12-lead ECG recording system for newborns

Author: Sandra Sedano, Ruey-Kang R. Chang, Kimberly J. Ko, Eva Villa-Lopez, Marie Lauzon, Wayne W. Grody, Fabian Escobedo, Yii-Der Ida Chen, Henry J. Lin, Sarah Valdez, Emily H. Marr, Xiuqing Guo, John Michael Criley, Jerome I. Rotter, Kent D. Taylor, Nataly Arenas, Tingchou Chien, Elaine C. Shoji, Lynne M. Smith, Tolga Soyata, Pai H. Chou, Nancy Halnon, Yueh-Tze Lan, Alexandra M. Clark, Omid Rajabi Shishvan, Michael J. Silka, Ryan Montoya, and A.S. Moosa
Subjects: Newborn screening, Male, Parents, medicine.medical_specialty, ECG electrodes, Clinical Trials and Supportive Activities, 12 lead ecg, ECG recorder, 030204 cardiovascular system & hematology, Arrhythmias, Cardiorespiratory Medicine and Haematology, Cardiovascular, Article, 03 medical and health sciences, Electrocardiography, 0302 clinical medicine, Clinical Research, Health care, Infant Mortality, Medicine, Humans, Mass Screening, 030212 general & internal medicine, Electrodes, Pediatric, Miniaturization, business.industry, Prevention, Infant, Newborn, Infant, Arrhythmias, Cardiac, Equipment Design, Recording system, Home use, Health Services, Newborn, Heart Disease, Diagnostic quality, Cardiovascular System & Hematology, Physical therapy, Female, Cardiology and Cardiovascular Medicine, business, Cardiac
Abstract: Background An easy-to-operate ECG recorder should be useful for newborn screening for heart conditions, by health care workers – or parents. We developed a one-piece electrode strip and a compact, 12‑lead ECG recorder for newborns. Method We enrolled 2582 newborns in a trial to assess abilities of parents to record a 12‑lead ECG on their infants (2–4 weeks-old). Newborns were randomized to recordings by parents (1290) or our staff (1292 controls). Educational backgrounds of parents varied, including 64% with no more than a high school diploma. Results For newborns randomized to parent recorded ECGs, 94% of parents completed a 10-minute recording. However, 42.6% asked for verbal help, and 12.7% needed physical help. ECG quality was the same for recordings by parents versus staff. Conclusions By use of a one-piece electrode strip and a compact recorder, 87% of parents recorded diagnostic quality ECGs on their newborn infants, with minimal assistance.
Published: 2019

166. Insulin Resistance Exacerbates Genetic Predisposition to Nonalcoholic Fatty Liver Disease in Individuals Without Diabetes

Author: Xiuqing Guo, Matthew J. Budoff, Lawrence F. Bielak, Abigail S. Baldridge, Elizabeth K. Speliotes, J. Jeffrey Carr, Thomas H. Mosley, Mary F. Feitosa, Lenore J. Launer, Sharon L.R. Kardia, Myriam Fornage, Albert V. Smith, Laura J. Rasmussen-Torvik, Yii-Der Ida Chen, Vilmundur Gudnason, Laura M. Yerges-Armstrong, Kathleen A. Ryan, Jerome I. Rotter, Tamara B. Harris, Matthew A. Allison, Ingrid B. Borecki, Brian D. Halligan, Samuel K. Handelman, Jie Yao, Lisa B. VanWagner, Patricia A. Peyser, Llilda Barata, Michael A. Province, Nicholette D. Palmer, and Jeffrey R. O'Connell
Subjects: medicine.medical_specialty, medicine.medical_treatment, Chronic Liver Disease and Cirrhosis, Oral and gastrointestinal, 03 medical and health sciences, 0302 clinical medicine, Insulin resistance, Diabetes mellitus, Internal medicine, Nonalcoholic fatty liver disease, Genetics, medicine, 2.1 Biological and endogenous factors, Aetiology, lcsh:RC799-869, Metabolic and endocrine, Nutrition, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, Hepatology, Glucokinase regulatory protein, biology, business.industry, Liver Disease, Insulin, Diabetes, Original Articles, medicine.disease, 3. Good health, Endocrinology, 030220 oncology & carcinogenesis, biology.protein, lcsh:Diseases of the digestive system. Gastroenterology, Original Article, Macrovesicular hepatic steatosis, Steatosis, Digestive Diseases, business, TM6SF2
Abstract: The accumulation of excess fat in the liver (hepatic steatosis) in the absence of heavy alcohol consumption causes nonalcoholic fatty liver disease (NAFLD), which has become a global epidemic. Identifying metabolic risk factors that interact with the genetic risk of NAFLD is important for reducing disease burden. We tested whether serum glucose, insulin, insulin resistance, triglyceride (TG), low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index (BMI), and waist-to-hip ratio adjusted for BMI interact with genetic variants in or near the patatin-like phospholipase domain containing 3 (PNPLA3) gene, the glucokinase regulatory protein (GCKR) gene, the neurocan/transmembrane 6 superfamily member 2 (NCAN/TM6SF2) gene, and the lysophospholipase-like 1 (LYPLAL1) gene to exacerbate hepatic steatosis, estimated by liver attenuation. We performed association analyses in 10 population-based cohorts separately and then meta-analyzed results in up to 14,751 individuals (11,870 of European ancestry and 2,881 of African ancestry). We found that PNPLA3-rs738409 significantly interacted with insulin, insulin resistance, BMI, glucose, and TG to increase hepatic steatosis in nondiabetic individuals carrying the G allele. Additionally, GCKR-rs780094 significantly interacted with insulin, insulin resistance, and TG. Conditional analyses using the two largest European ancestry cohorts in the study showed that insulin levels accounted for most of the interaction of PNPLA3-rs738409 with BMI, glucose, and TG in nondiabetic individuals. Insulin, PNPLA3-rs738409, and their interaction accounted for at least 8% of the variance in hepatic steatosis in these two cohorts. Conclusion: Insulin resistance, either directly or through the resultant elevated insulin levels, more than other metabolic traits, appears to amplify the PNPLA3-rs738409-G genetic risk for hepatic steatosis. Improving insulin resistance in nondiabetic individuals carrying PNPLA3-rs738409-G may preferentially decrease hepatic steatosis.
Published: 2018

167. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Author: Michael R. Brown, Christian Gieger, André G. Uitterlinden, Diana van Heemst, Alison D. Murray, Stephen B. Kritchevsky, Timo A. Lakka, Karen Schwander, Federica Laguzzi, Stephen S. Rich, Rajkumar Dorajoo, Yun Ju Sung, Xiaofeng Zhu, Hugues Aschard, Jing Hua Zhao, Gregory P. Wilson, Kenneth Rice, Barbara Sternfeld, Kent D. Taylor, Paul Elliott, Ei-Ei Khaing Nang, Ilja M. Nolte, Heather M. Stringham, Bruce M. Psaty, Heming Wang, Tangchun Wu, Caroline Hayward, Vilmundur Gudnason, Fernando Pires Hartwig, Paolo Gasparini, Jingjing Liang, Neil Risch, Albertine J. Oldehinkel, Ani Manichaikul, Tibor V. Varga, Michael Y. Tsai, Niek Verweij, Xueling Sim, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Xiuqing Guo, Traci M. Bartz, Nicholette D. Palmer, Woon-Puay Koh, Rozenn N. Lemaitre, Caizheng Yu, Mike A. Nalls, Mariaelisa Graff, Eric Boerwinkle, Dabeeru C. Rao, Thomas Meitinger, Virginia Fisher, Mario Sims, Charles Kooperberg, Carl D. Langefeld, Jaakko Tuomilehto, Reedik Mägi, Wei Zhao, Wanqing Wen, Donna K. Arnett, Ervin R. Fox, Lynda M. Rose, Maris Alver, Ayse Demirkan, Solomon K. Musani, Dennis O. Mook-Kanamori, Andres Metspalu, Jerome I. Rotter, Barry I. Freedman, Jiang He, Hermina Jakupović, Steven C. Hunt, Marco Brumat, Maria Pina Concas, Rob M. van Dam, Rico Rueedi, Jonathan Marten, Chi Charles Gu, Tõnu Esko, Peter Vollenweider, Zoltán Kutalik, Olli T. Raitakari, Ya X. Wang, Yong-Bing Xiang, Pamela J. Schreiner, Antonietta Robino, Tanika N. Kelly, Igor Rudan, Mathilde Boissel, Claudia Langenberg, Yii-Der Ida Chen, Anne U. Jackson, Lawrence F. Bielak, Brenda W.J.H. Penninx, Brigitte Kühnel, Christopher P. Nelson, Konstantin Strauch, Albert V. Smith, Daniel I. Chasman, Jasmin Divers, Lisa R. Yanek, M. Arfan Ikram, Melissa A. Richard, Nilesh J. Samani, Lisa de las Fuentes, H. Janaka de Silva, Jana V. van Vliet-Ostaptchouk, Yongmei Liu, Peter J. van der Most, Fang-Chi Hsu, Jeffrey R. O'Connell, Alexandre C. Pereira, Raymond Noordam, Changwei Li, Jie Yao, Trudy Voortman, Zhe Wang, Thomas H. Mosley, Diane M. Becker, Charles N. Rotimi, Sami Heikkinen, Archie Campbell, John M. C. Connell, Lenore J. Launer, Hua Tang, Rainer Rauramaa, Ruth J. F. Loos, Pirjo Komulainen, Amy R. Bentley, Patrik Wennberg, Chew-Kiat Heng, Kari E. North, Salman M. Tajuddin, Renée de Mutsert, David J. Porteous, Susan Redline, Sarah E. Harris, Tamara B. Harris, Raha Pazoki, Mickaël Canouil, Robert A. Scott, Jingzhong Ding, Mary F. Feitosa, Jost B. Jonas, José Eduardo Krieger, John M. Starr, Karin Leander, Jennifer A. Smith, Paul W. Franks, Charles B. Eaton, Sharon L.R. Kardia, E. Shyong Tai, Jill M. Norris, Annette Peters, Chiamaka Vivian Nwuba, Jianjun Liu, Stella Aslibekyan, Nora Franceschini, Kurt Lohman, Myriam Fornage, Dina Vojinovic, Erin B. Ware, Xiaoyin Li, Najaf Amin, Johanna Kuusisto, M. Yldau van der Ende, Cora E. Lewis, Lynne E. Wagenknecht, Jennifer G. Robinson, Franco Giulianini, Ulf de Faire, Yechiel Friedlander, Nicholas J. Wareham, Meian He, George J. Papanicolau, Nancy L. Pedersen, Bernardo L. Horta, Karen L. Mohlke, Kelley Pettee Gabriel, Minjung Kho, Michele K. Evans, Ozren Polasek, Markku Laakso, Tuomas O. Kilpeläinen, Ching-Ti Liu, Michael Boehnke, Jin-Fang Chai, Ioanna Ntalla, Cornelia M. van Duijn, L. Adrienne Cupples, Yuri Milaneschi, Stephen Sidney, Alan B. Zonderman, Leo-Pekka Lyytikäinen, Mohsen Ghanbari, Harold Snieder, Donald W. Bowden, Aldi T. Kraja, Alaitz Poveda, Terho Lehtimäki, Paul S. de Vries, Dongfeng Gu, Sotoodehnia Nona, Thomas W. Winkler, Muhammad Riaz, Ian J. Deary, Fumihiko Takeuchi, Pim van der Harst, Alisa K. Manning, Michael A. Province, Andrea R. V. R. Horimoto, David R. Weir, Wei Zheng, Alanna C. Morrison, Marzyeh Amini, Jian-Min Yuan, W. James Gauderman, Paul M. Ridker, Melanie Waldenberger, Chuan Gao, Xiao-Ou Shu, Patricia B. Munroe, Patricia A. Peyser, Jessica D. Faul, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, Tamar Sofer, Home Office, Medical Research Council (MRC), National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, UK DRI Ltd, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, APH - Digital Health, IT University of Copenhagen, Icahn School of Medicine at Mount Sinai [New York] (MSSM), National Institutes of Health [Bethesda] (NIH), Leiden University Medical Center (LUMC), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), University of Regensburg, Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), Massachusetts General Hospital [Boston], Queen Mary University of London (QMUL), Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), The University of Texas Health Science Center at Houston (UTHealth), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), University of Washington [Seattle], The present work was largely supported by a grant from the US National Heart, Lung,and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305)., Kilpeläinen, Tuomas O., Bentley, Amy R., Noordam, Raymond, Sung, Yun Ju, Schwander, Karen, Winkler, Thomas W., Jakupović, Hermina, Chasman, Daniel I., Manning, Alisa, Ntalla, Ioanna, Aschard, Hugue, Brown, Michael R., de las Fuentes, Lisa, Franceschini, Nora, Guo, Xiuqing, Vojinovic, Dina, Aslibekyan, Stella, Feitosa, Mary F., Kho, Minjung, Musani, Solomon K., Richard, Melissa, Wang, Heming, Wang, Zhe, Bartz, Traci M., Bielak, Lawrence F., Campbell, Archie, Dorajoo, Rajkumar, Fisher, Virginia, Hartwig, Fernando P., Horimoto, Andrea R. V. R., Li, Changwei, Lohman, Kurt K., Marten, Jonathan, Sim, Xueling, Smith, Albert V., Tajuddin, Salman M., Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Evangelou, Evangelo, Gao, Chuan, Graff, Mariaelisa, Harris, Sarah E., He, Meian, Hsu, Fang-Chi, Jackson, Anne U., Zhao, Jing Hua, Kraja, Aldi T., Kühnel, Brigitte, Laguzzi, Federica, Lyytikäinen, Leo-Pekka, Nolte, Ilja M., Rauramaa, Rainer, Riaz, Muhammad, Robino, Antonietta, Rueedi, Rico, Stringham, Heather M., Takeuchi, Fumihiko, van der Most, Peter J., Varga, Tibor V., Verweij, Niek, Ware, Erin B., Wen, Wanqing, Li, Xiaoyin, Yanek, Lisa R., Amin, Najaf, Arnett, Donna K., Boerwinkle, Eric, Brumat, Marco, Cade, Brian, Canouil, Mickaël, Chen, Yii-Der Ida, Concas, Maria Pina, Connell, John, de Mutsert, Renée, de Silva, H. Janaka, de Vries, Paul S., Demirkan, Ayşe, Ding, Jingzhong, Eaton, Charles B., Faul, Jessica D., Friedlander, Yechiel, Gabriel, Kelley P., Ghanbari, Mohsen, Giulianini, Franco, Gu, Chi Charle, Gu, Dongfeng, Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hunt, Steven C., Ikram, M. Arfan, Jonas, Jost B., Koh, Woon-Puay, Komulainen, Pirjo, Krieger, Jose E., Kritchevsky, Stephen B., Kutalik, Zoltán, Kuusisto, Johanna, Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Leander, Karin, Lemaitre, Rozenn N., Lewis, Cora E., Liang, Jingjing, Alizadeh, Behrooz Z., Boezen, H. Marike, Franke, Lude, Navis, Gerjan, Rots, Marianne, Swertz, Morri, Wolffenbuttel, Bruce H. R., Wijmenga, Cisca, Liu, Jianjun, Mägi, Reedik, Manichaikul, Ani, Meitinger, Thoma, Metspalu, Andre, Milaneschi, Yuri, Mohlke, Karen L., Mosley, Thomas H., Murray, Alison D., Nalls, Mike A., Nang, Ei-Ei Khaing, Nelson, Christopher P., Nona, Sotoodehnia, Norris, Jill M., Nwuba, Chiamaka Vivian, O’Connell, Jeff, Palmer, Nicholette D., Papanicolau, George J., Pazoki, Raha, Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Porteous, David J., Poveda, Alaitz, Raitakari, Olli T., Rich, Stephen S., Risch, Neil, Robinson, Jennifer G., Rose, Lynda M., Rudan, Igor, Schreiner, Pamela J., Scott, Robert A., Sidney, Stephen S., Sims, Mario, Smith, Jennifer A., Snieder, Harold, Sofer, Tamar, Starr, John M., Sternfeld, Barbara, Strauch, Konstantin, Tang, Hua, Taylor, Kent D., Tsai, Michael Y., Tuomilehto, Jaakko, Uitterlinden, André G., van der Ende, M. Yldau, van Heemst, Diana, Voortman, Trudy, Waldenberger, Melanie, Wennberg, Patrik, Wilson, Gregory, Xiang, Yong-Bing, Yao, Jie, Yu, Caizheng, Yuan, Jian-Min, Zhao, Wei, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., de Faire, Ulf, Deary, Ian J., Elliott, Paul, Esko, Tõnu, Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Kato, Norihiro, Laakso, Markku, Lakka, Timo A., Lehtimäki, Terho, Magnusson, Patrik K. E., Oldehinkel, Albertine J., Penninx, Brenda W. J. H., Samani, Nilesh J., Shu, Xiao-Ou, van der Harst, Pim, Van Vliet-Ostaptchouk, Jana V., Vollenweider, Peter, Wagenknecht, Lynne E., Wang, Ya X., Wareham, Nicholas J., Weir, David R., Wu, Tangchun, Zheng, Wei, Zhu, Xiaofeng, Evans, Michele K., Franks, Paul W., Gudnason, Vilmundur, Hayward, Caroline, Horta, Bernardo L., Kelly, Tanika N., Liu, Yongmei, North, Kari E., Pereira, Alexandre C., Ridker, Paul M., Tai, E. Shyong, van Dam, Rob M., Fox, Ervin R., Kardia, Sharon L. R., Liu, Ching-Ti, Mook-Kanamori, Dennis O., Province, Michael A., Redline, Susan, van Duijn, Cornelia M., Rotter, Jerome I., Kooperberg, Charles B., Gauderman, W. Jame, Psaty, Bruce M., Rice, Kenneth, Munroe, Patricia B., Fornage, Myriam, Cupples, L. Adrienne, Rotimi, Charles N., Morrison, Alanna C., Rao, Dabeeru C., Loos, Ruth J. F., Bentley, Amy R [0000-0002-0827-9101], Jakupović, Hermina [0000-0001-9667-9406], Manning, Alisa [0000-0003-0247-902X], Aschard, Hugues [0000-0003-0907-2548], de Las Fuentes, Lisa [0000-0002-4689-325X], Richard, Melissa [0000-0003-0129-9860], Liu, Ching-Ti [0000-0002-0703-0742], Rice, Kenneth [0000-0002-3071-7278], Munroe, Patricia B [0000-0002-4176-2947], Loos, Ruth JF [0000-0002-8532-5087], Apollo - University of Cambridge Repository, Epidemiology, Radiology & Nuclear Medicine, Erasmus MC other, Internal Medicine, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, IT University of Copenhagen (ITU), Universiteit Leiden, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Value, Affordability and Sustainability (VALUE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Lifelines Cohort Study, Alizadeh, B.Z., Boezen, H.M., Franke, L., Navis, G., Rots, M., Swertz, M., Wolffenbuttel, BHR, and Wijmenga, C.
Subjects: Genetics and Molecular Biology (all), Male, Genome-wide association study, 02 engineering and technology, Biochemistry, MESH: Genotype, MESH: Nerve Tissue Proteins, lcsh:Science, MESH: Lipid Metabolism, Aged, 80 and over, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Middle Aged, MESH: Asian Continental Ancestry Group, Kólesteról, Hispanic or Latino, MESH: Transcription Factors, MESH: European Continental Ancestry Group, Lipids, ddc, 3. Good health, REVEAL, Cholesterol, MESH: Young Adult, Science & Technology - Other Topics, MESH: Membrane Proteins, MESH: Cholesterol, HDL, Hispanic Americans, 0210 nano-technology, Erfðarannsóknir, MESH: Cholesterol, LDL, MESH: Triglycerides, Genotype, Genetic Loci, Lipid Metabolism, Science, European Continental Ancestry Group, LIM-Homeodomain Proteins, Locus (genetics), EXERCISE, Adolescent, Adult, African Continental Ancestry Group/genetics, Aged, Asian Continental Ancestry Group/genetics, Brazil, Calcium-Binding Proteins/genetics, Cholesterol/blood, Cholesterol, HDL/blood, Cholesterol, HDL/genetics, Cholesterol, LDL/blood, Cholesterol, LDL/genetics, European Continental Ancestry Group/genetics, Exercise, Female, Genetic Loci/genetics, Genome-Wide Association Study, Hispanic Americans/genetics, Humans, LIM-Homeodomain Proteins/genetics, Lipid Metabolism/genetics, Lipids/blood, Lipids/genetics, Membrane Proteins/genetics, Microtubule-Associated Proteins/genetics, Middle Aged, Muscle Proteins/genetics, Nerve Tissue Proteins/genetics, Transcription Factors/genetics, Triglycerides/blood, Triglycerides/genetics, Young Adult, General Biochemistry, Genetics and Molecular Biology, Article, White People, CARBOXYLASE, 03 medical and health sciences, Physics and Astronomy (all), MESH: Muscle Proteins, Asian People, Lifelines Cohort Study, SNP, METAANALYSIS, Ancestry, MESH: Adolescent, Biochemistry, Genetics and Molecular Biology (all), MESH: Humans, Science & Technology, Calcium-Binding Proteins, MESH: Adult, MESH: Microtubule-Associated Proteins, 030104 developmental biology, chemistry, MESH: Genome-Wide Association Study, lcsh:Q, MESH: African Continental Ancestry Group, Chemistry (all), [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Brazil, MESH: Female, Transcription Factors, 0301 basic medicine, General Physics and Astronomy, Blood lipids, Muscle Proteins, MESH: Calcium-Binding Proteins, chemistry.chemical_compound, MESH: Aged, 80 and over, MESH: Cholesterol, WIDE ASSOCIATION, African Continental Ancestry Group, Genetics, MESH: Aged, Multidisciplinary, Public Health, Global Health, Social Medicine and Epidemiology, 021001 nanoscience & nanotechnology, Multidisciplinary Sciences, lipids (amino acids, peptides, and proteins), Medical Genetics, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Microtubule-Associated Proteins, Asian Continental Ancestry Group, Black People, Nerve Tissue Proteins, Biology, MESH: Genetic Loci, MD Multidisciplinary, Triglycerides, Medicinsk genetik, MESH: LIM-Homeodomain Proteins, Triglyceride, MESH: Hispanic Americans, Cholesterol, HDL, Genome-wide analyses, Membrane Proteins, Lipid metabolism, General Chemistry, Cholesterol, LDL, Arfgengi, MESH: Lipids, MESH: Male, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, INDIVIDUALS, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, MESH: Exercise, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Abstract: Publisher's version (útgefin grein), Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels., The present work was largely supported by a grant from the US National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305). The full list of acknowledgments appears in the Supplementary Notes 3 and 4.
Published: 2018

168. The Triglyceride to High-Density Lipoprotein Cholesterol (TG/HDL-C) Ratio as a Predictor of Insulin Resistance, β-Cell Function, and Diabetes in Hispanics and African Americans

Author: Jill M. Norris, Jerome I. Rotter, Carl D. Langefeld, Neda Rasouli, Kendra A. Young, Yii-Der Ida Chen, Carlos Lorenzo, Amita Maturu, Lynne E. Wagenknecht, and Kent D. Taylor
Subjects: Adult, Male, medicine.medical_specialty, β cell function, Endocrinology, Diabetes and Metabolism, 030209 endocrinology & metabolism, Type 2 diabetes, 030204 cardiovascular system & hematology, Article, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Endocrinology, High-density lipoprotein, Insulin resistance, Internal medicine, Diabetes mellitus, Insulin-Secreting Cells, Internal Medicine, Medicine, Humans, Triglycerides, Metabolic Syndrome, Triglyceride, business.industry, Cholesterol, Cholesterol, HDL, Insulin sensitivity, Hispanic or Latino, Middle Aged, medicine.disease, Atherosclerosis, Prognosis, Black or African American, chemistry, Diabetes Mellitus, Type 2, Female, Insulin Resistance, business, Follow-Up Studies
Abstract: OBJECTIVE: The TG/HDL-C ratio is used as a marker of insulin resistance (IR) in Caucasians; however; there is limited data in other ethnic groups. We hypothesized that the TG/HDL-C ratio is associated with IR in Hispanics and African Americans (AA) and will predict type 2 diabetes. RESEARCH DESIGN AND METHODS: A multiethnic cohort from the Insulin Resistance Atherosclerosis Family Study was examined to investigate associations between TG/HDL-C ratio and IR, β-cell function and incident diabetes. The cohort included non-diabetic Hispanics (n=872, 63% female) and AA (n=371, 61% female) followed for 5 years. Insulin sensitivity index (S(I)) and disposition index (DI) from frequently-sampled intravenous glucose tolerance tests were used as markers of IR and β-cell function respectively. Incident type 2 diabetes was determined by fasting glucose ≥ 126 mg/dl or initiation of anti-hyperglycemia agents over 5 year follow-up. RESULTS: Higher TG/HDL-C ratio was associated with insulin resistance in both Hispanic and AA men and women (P
Published: 2018

169. Mendelian Randomization evaluation of causal effects of fibrinogen on incident coronary heart disease

Author: Sharon L.R. Kardia, Yii-Der Ida Chen, Stefan Groβ, Xiuqing Guo, Weihong Tang, Nathan Pankratz, Eric Boerwinkle, Thomas Meitinger, Nicholas L. Smith, Ci Song, Franco Giulianini, Jennifer E. Huffman, Lisa R. Yanek, Jerome I. Rotter, Abbas Dehghan, Bruce M. Psaty, Winfried März, Konstantin Strauch, Suzette J. Bielinski, Jennifer A. Smith, Paul M. Ridker, Tim Kacprowski, Patricia A. Peyser, Diane M. Becker, Marcus Dörr, Wolfgang Koenig, Lewis C. Becker, Astrid Petersman, Christopher J. O'Donnell, Daniel I. Chasman, André G. Uitterlinden, Naveed Sattar, Rasika A. Mathias, Cavin K. Ward-Caviness, Stella Trompet, Annette Peters, George Davey Smith, Jie Yao, Jennifer A. Brody, Martina Muller-Nuraysid, Kerri L. Wiggins, Yi-Ping Fu, Oscar H. Franco, Gibran Hemani, Lawrence F. Bielak, Moniek P.M. de Maat, Graciela E. Delgado, Alanna C. Morrison, Melanie Waldenberger, Andrew D. Johnson, Marcus E. Kleber, Jack Bowden, Paul S. de Vries, J. Wouter Jukema, Fernando Pires Hartwig, Russell P. Tracy, Kent D. Taylor, and Barbara McKnight
Subjects: 0303 health sciences, medicine.medical_specialty, business.industry, Hazard ratio, Genome-wide association study, Odds ratio, 030204 cardiovascular system & hematology, Fibrinogen, Confidence interval, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Sample size determination, Pleiotropy, Internal medicine, Mendelian randomization, medicine, Cardiology, business, 030304 developmental biology, medicine.drug
Abstract: BackgroundFibrinogen is an essential hemostatic factor and cardiovascular disease risk factor. Early attempts at evaluating the causal effect of fibrinogen on coronary heart disease (CHD) and myocardial infraction (MI) using Mendelian randomization (MR) used single variant approaches, and did not take advantage of recent genome-wide association studies (GWAS) or multi-variant, pleiotropy robust MR methodologies.Methods and FindingsWe evaluated evidence for a causal effect of fibrinogen on both CHD and MI using MR. We used both an allele score approach and pleiotropy robust MR models. The allele score was composed of 38 fibrinogen-associated variants from recent GWAS. Initial analyses using the allele score incorporated data from 11 European-ancestry prospective cohorts to examine incidence CHD and MI. We also applied 2 sample MR methods with data from a prevalent CHD and MI GWAS. Results are given in terms of the hazard ratio (HR) or odds ratio (OR), depending on the study design, and associated 95% confidence interval (CI).In single variant analyses no causal effect of fibrinogen on CHD or MI was observed. In multi-variant analyses using incidence CHD cases and the allele score approach, the estimated causal effect (HR) of a 1 g/L higher fibrinogen concentration was 1.62 (CI = 1.12, 2.36) when using incident cases and the allele score approach. In 2 sample MR analyses that accounted for pleiotropy, the causal estimate (OR) was reduced to 1.18 (CI = 0.98, 1.42) and 1.09 (CI = 0.89, 1.33) in the 2 most precise (smallest CI) models, out of 4 models evaluated. In the 2 sample MR analyses for MI, there was only very weak evidence of a causal effect in only 1 out of 4 models.ConclusionsA small causal effect of fibrinogen on CHD is observed using multi-variant MR approaches which account for pleiotropy, but not single variant MR approaches. Taken together, results indicate that even with large sample sizes and multi-variant approaches MR analyses still cannot exclude the null when estimating the causal effect of fibrinogen on CHD, but that any potential causal effect is likely to be much smaller than observed in epidemiological studies.Author SummaryInitial Mendelian Randomization (MR) analyses of the causal effect of fibrinogen on coronary heart disease (CHD) utilized single variants and did not take advantage of modern, multivariant approaches. This manuscript provides an important update to these initial analyses by incorporating larger sample sizes and employing multiple, modern multi-variant MR approaches to account for pleiotropy. We used incident cases to perform a MR study of the causal effect of fibrinogen on incident CHD and the nested outcome of myocardial infarction (MI) using an allele score approach. Then using data from a case-control genome-wide association study for CHD and MI we performed two sample MR analyses with multiple, pleiotropy robust approaches. Overall, the results indicated that associations between fibrinogen and CHD in observational studies are likely upwardly biased from any underlying causal effect. Single variant MR approaches show little evidence of a causal effect of fibrinogen on CHD or MI. Multi-variant MR analyses of fibrinogen on CHD indicate there may be a small positive effect, however this result needs to be interpreted carefully as the 95% confidence intervals were still consistent with a null effect. Multi-variant MR approaches did not suggest evidence of even a small causal effect of fibrinogen on MI.
Published: 2018
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170. Epigenome-wide association analysis of daytime sleepiness in the Multi-Ethnic Study of Atherosclerosis reveals African-American specific associations

Author: Jerome I. Rotter, Yii-Der Ida Chen, Traci M. Bartz, Xiaofeng Zhu, Jennifer A. Brody, W. Craig Johnson, Nona Sotoodehnia, Ruitong Li, Sina A. Gharib, Sanjay R. Patel, Heming Wang, Xihong Lin, Richard Barfield, Brenton R. Swenson, Brian E. Cade, Tamar Sofer, Susan Redline, Shaun Purcell, Richa Saxena, Han Chen, and Yongmei Liu
Subjects: Genetics, 0303 health sciences, business.industry, Epworth Sleepiness Scale, dNaM, Excessive daytime sleepiness, Epigenome, Quantitative trait locus, Biobank, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, medicine, Epigenetics, medicine.symptom, business, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic association
Abstract: Study ObjectivesExcessive daytime sleepiness (EDS) is a consequence of inadequate sleep, or of a primary disorder of sleep-wake control. Population variability in prevalence of EDS and susceptibility to EDS are likely due to genetic and biological factors as well as social and environmental influences. Epigenetic modifications (such as DNA methylation-DNAm) are potential influences on a range of health outcomes. Here, we explored the association between DNAm and daytime sleepiness quantified by the Epworth Sleepiness Scale (ESS).MethodsWe performed multi-ethnic and ethnic-specific epigenome-wide association studies for DNAm and ESS in 619 individuals from the Multi-Ethnic Study of Atherosclerosis. Replication was assessed in the Cardiovascular Health Study (CHS). Genetic variants in genes proximal to ESS-associated DNAm were analyzed to identify methylation quantitative trait loci and followed with replication of genotype-sleepiness associations in the UK Biobank.Results61 methylation sites were associated with ESS (FDR ≤ 0.1) in African Americans only, including an association inKCTD5, a gene strongly implicated in sleep. One association (cg26130090) replicated in CHS African Americans (p-value 0.0004). We identified a sleepiness-associated methylation site in the geneRAI1, a gene associated with sleep and circadian phenotypes. In a follow-up analysis, a genetic variant withinRAI1associated with both DNAm and sleepiness score. The variant’s association with sleepiness was replicated in the UK Biobank.ConclusionsOur analysis identified methylation sites in multiple genes that may be implicated in EDS. These sleepiness-methylation associations were specific to African Americans. Future work is needed to identify mechanisms driving ancestry-specific methylation effects.Statement of SignificanceExcessive daytime sleepiness is associated with negative health outcomes such as reduction in quality of life, increased workplace accidents, and cardiovascular mortality. There are race/ethnic disparities in excessive daytime sleepiness, however, the environmental and biological mechanisms for these differences are not yet understood. We performed an association analysis of DNA methylation, measured in monocytes, and daytime sleepiness within a racially diverse study population. We detected numerous DNA methylation markers associated with daytime sleepiness in African Americans, but not in European and Hispanic Americans. Future work is required to elucidate the pathways between DNA methylation, sleepiness, and related behavioral/environmental exposures.
Published: 2018

171. Author Correction: A structural variation reference for medical and population genetics

Author: Anne H. O’Donnell-Luria, Chelsea Lowther, Christine Stevens, Elise Valkanas, Matthew R. Stone, Anthony A. Philippakis, Matthew Solomonson, Mark Walker, Yongqing Huang, Jack Fu, Jerome I. Rotter, Laurent C. Francioli, Wendy S. Post, Yii-Der Ida Chen, Kristen M. Laricchia, Amit Khera, Eric S. Lander, Kent D. Taylor, Mark J. Daly, Xuefang Zhao, Lauren Margolin, Ryan L. Collins, Henry J. Lin, Konrad J. Karczewski, Laura D. Gauthier, Ted Brookings, Jessica Alföldi, Benjamin M. Neale, Harrison Brand, Caroline N. Cusick, Eric Banks, Nicholas A. Watts, Stacey Gabriel, Harold Z. Wang, Valentin Ruano-Rubio, Michael E. Talkowski, Ruchi Munshi, Stephen S. Rich, Genome Aggregation Database Production Team, Sekar Kathiresan, Christopher W. Whelan, Daniel G. MacArthur, Namrata Gupta, Chad Nusbaum, Ted Sharpe, Grace Tiao, and Alexander Baumann
Subjects: Male, Genotyping Techniques, Genetics, Medical, MEDLINE, Population genetics, Computational biology, Biology, Genome informatics, Polymorphism, Single Nucleotide, Structural variation, Humans, Disease, Genetic Testing, Selection, Genetic, Author Correction, Multidisciplinary, Whole Genome Sequencing, Genome, Human, Published Erratum, Racial Groups, Genetic Variation, Chromosome abnormality, Genomics, Middle Aged, Reference Standards, Genetics, Population, Mutation, Female
Abstract: A Correction to this paper has been published: https://doi.org/10.1038/s41586-020-03176-6.
Published: 2021

172. TNFRSF1B Is Associated with ANCA in IBD

Author: Dermot P.B. McGovern, Joanne M. Stempak, Raquel Milgrom, Stephan R. Targan, Dalin Li, Jerome I. Rotter, Kent D. Taylor, Carol J. Landers, Yii-Der Ida Chen, Mark S. Silverberg, Talin Haritunians, Marla Dubinsky, and Xiuqing Guo
Subjects: Male, 0301 basic medicine, Antineutrophil Cytoplasmic, Ulcerative, Genome-wide association study, Inflammatory bowel disease, Gastroenterology, Serology, 0302 clinical medicine, Crohn Disease, Receptors, 2.1 Biological and endogenous factors, GWAS, Immunology and Allergy, Medicine, Aetiology, Child, ANCA, Colitis, TNFRSFIB, Cohort, Biomarker (medicine), Female, 030211 gastroenterology & hepatology, Tumor necrosis factor alpha, Adult, Heterozygote, medicine.medical_specialty, Adolescent, Clinical Sciences, Type II, Autoimmune Disease, inflammatory bowel diseases, Antibodies, Article, Antibodies, Antineutrophil Cytoplasmic, Young Adult, 03 medical and health sciences, Internal medicine, Genetics, Humans, Receptors, Tumor Necrosis Factor, Type II, Anti-neutrophil cytoplasmic antibody, Gastroenterology & Hepatology, business.industry, Inflammatory Bowel Disease, Human Genome, Inflammatory Bowel Diseases, medicine.disease, Minor allele frequency, 030104 developmental biology, Colitis, Ulcerative, Tumor Necrosis Factor, Digestive Diseases, business, Genome-Wide Association Study
Abstract: The genetic basis of antineutrophil cytoplasmic antibody, an important biomarker of inflammatory bowel disease (IBD), has never been thoroughly examined on a genome-wide scale. In this study, we performed a 2-stage genome-wide association study (GWAS) on antineutrophil cytoplasmic antibody in IBD cases. In the 2959 IBD cases in the discovery stage, we observed an association between a variant in the gene TNFRSF1B with antineutrophil cytoplasmic antibody level (rs5745994, minor allele frequency = 0.028, beta = 18.12, 95% CI, 11.82–24.22, P = 1.89 × 10(−8)). This association was replicated in an independent cohort of 419 IBD cases (beta = 16.91, 95% CI, 6.13–27.69, P = 2.38 × 10(2) ). With a Q-value of 0.036, we performed a fixed-effect meta-analysis for the association of rs5745994 in both cohorts and observed a stronger association signal (beta= 17.81, 95% CI, 12.36–23.25, P = 8.97 × 10(2) ). TNFRSF1B gene codes for tumor necrosis factor (TNF) receptor 2 (TNFR2), thereby we examined the reported TNFRSF1B variant with serum TNFR2 level. We observed a negative association with serum TNFR2 level being 8.23 EU/mL in carriers and 9.12 EU/mL in noncarriers (P = 0.033). This finding indicates the functional role of identified TNFRSF1B variant in IBD serology and may be reflective of the underlying biological mechanisms that determine clinical expression and/or response to certain therapies.
Published: 2016

173. Improved Performance of Dynamic Measures of Insulin Response Over Surrogate Indices to Identify Genetic Contributors of Type 2 Diabetes: The GUARDIAN Consortium

Author: Hooman Allayee, Nan Wang, Richard N. Bergman, Talin Haritunians, Jerome I. Rotter, Leslie J. Raffel, Kent D. Taylor, Thomas A. Buchanan, Richard M. Watanabe, Tasha E. Fingerlin, Mark O. Goodarzi, Donald W. Bowden, Anny H. Xiang, Nicholette D. Palmer, Yii-Der Ida Chen, Lynne E. Wagenknecht, and Carl D. Langefeld
Subjects: Adult, Blood Glucose, Male, 0301 basic medicine, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Population, Type 2 diabetes, Biology, Medical and Health Sciences, Endocrinology & Metabolism, 03 medical and health sciences, Insulin resistance, Internal medicine, Diabetes Mellitus, Genetics, Internal Medicine, medicine, Homeostasis, Humans, Insulin, Glucose homeostasis, education, Metabolic and endocrine, Aged, education.field_of_study, Glucose tolerance test, medicine.diagnostic_test, Diabetes, Genetics/Genomes/Proteomics/Metabolomics, Glucose Tolerance Test, Middle Aged, medicine.disease, 030104 developmental biology, Endocrinology, Diabetes Mellitus, Type 2, Basal (medicine), Female, Insulin Resistance, TCF7L2, Type 2
Abstract: Type 2 diabetes (T2D) is a heterogeneous disorder with contributions from peripheral insulin resistance and β-cell dysfunction. For minimization of phenotypic heterogeneity, quantitative intermediate phenotypes characterizing basal glucose homeostasis (insulin resistance and HOMA of insulin resistance [HOMAIR] and of β-cell function [HOMAB]) have shown promise in relatively large samples. We investigated the utility of dynamic measures of glucose homeostasis (insulin sensitivity [SI] and acute insulin response [AIRg]) evaluating T2D-susceptibility variants (n = 57) in Hispanic Americans from the GUARDIAN Consortium (n = 2,560). Basal and dynamic measures were genetically correlated (HOMAB-AIRg: ρG = 0.28–0.73; HOMAIR-SI: ρG = −0.73 to −0.83) with increased heritability for the dynamic measure AIRg. Significant association of variants with dynamic measures (P < 8.77 × 10−4) was observed. A pattern of superior performance of AIRg was observed for well-established loci including MTNR1B (P = 9.46 × 10−12), KCNQ1 (P = 1.35 × 10−4), and TCF7L2 (P = 5.10 × 10−4) with study-wise statistical significance. Notably, significant association of MTNR1B with AIRg (P < 1.38 × 10−9) was observed in a population one-fourteenth the size of the initial discovery cohort. These observations suggest that basal and dynamic measures provide different views and levels of sensitivity to discrete elements of glucose homeostasis. Although more costly to obtain, dynamic measures yield significant results that could be considered physiologically “closer” to causal pathways and provide insight into the discrete mechanisms of action.
Published: 2016

174. Meta-analysis of genome-wide association studies identifies three novel loci for saturated fatty acids in East Asians

Author: Shuang Liang, David S. Siscovick, Yii-Der Ida Chen, Yao Hu, Stephen S. Rich, Michael Y. Tsai, Lyn M. Steffen, Rozenn N. Lemaitre, Xu Lin, Jingwen Zhu, Huaixing Li, and Ani Manichaikul
Subjects: Fatty Acid Desaturases, Male, 0301 basic medicine, China, Genotyping Techniques, LIM-Homeodomain Proteins, Medicine (miscellaneous), Genome-wide association study, 030204 cardiovascular system & hematology, Biology, Polymorphism, Single Nucleotide, Article, AMP Deaminase, 03 medical and health sciences, Delta-5 Fatty Acid Desaturase, 0302 clinical medicine, Asian People, Sphingosine N-Acyltransferase, Genetic variation, Humans, Allele, Alleles, Triglycerides, Aged, Genetics, Nutrition and Dietetics, Fatty Acids, Genetic variants, Genetic Variation, Middle Aged, United States, Cholesterol, 030104 developmental biology, Genetic Loci, Meta-analysis, Saturated fatty acid, Female, Genome-Wide Association Study, Transcription Factors
Abstract: We aimed to characterize common genetic variants that influence saturated fatty acid concentrations in East Asians.Meta-analysis of genome-wide association studies for circulating SFAs was conducted in two population-based cohorts comprising 3521 participants of Chinese ancestry.We identified two novel 14:0-associated loci at LMX1A (LIM homeobox transcription factor 1) and AMPD3 (AMP deaminase 3) (P = 5.08 × 10To our knowledge, this is the first GWAS analysis to examine SFA concentrations in East Asian populations. Our findings provide novel evidence that genetic variations of several genes from multiple pathways are associated with SFA concentrations in human body.
Published: 2016

175. Branched-Chain Amino Acids and Insulin Metabolism: The Insulin Resistance Atherosclerosis Study (IRAS)

Author: Dora Il'yasova, Yii-Der Ida Chen, Lynne E. Wagenknecht, Steven M. Haffner, Steve M. Watkins, Anthony J. Hanley, C. Christine Lee, and Carlos Lorenzo
Subjects: 0301 basic medicine, Male, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, 030209 endocrinology & metabolism, White People, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Insulin resistance, Valine, Internal medicine, Diabetes mellitus, Internal Medicine, medicine, Humans, Insulin, Epidemiology/Health Services Research, Advanced and Specialized Nursing, Glucose tolerance test, medicine.diagnostic_test, business.industry, Incidence, Confounding, Odds ratio, Hispanic or Latino, Glucose Tolerance Test, Middle Aged, medicine.disease, Atherosclerosis, Black or African American, 030104 developmental biology, Endocrinology, Diabetes Mellitus, Type 2, Multivariate Analysis, Linear Models, Female, Leucine, Insulin Resistance, business, Amino Acids, Branched-Chain, Follow-Up Studies
Abstract: OBJECTIVE Recent studies using untargeted metabolomics approaches have suggested that plasma branched-chain amino acids (BCAAs) are associated with incident diabetes. However, little is known about the role of plasma BCAAs in metabolic abnormalities underlying diabetes and whether these relationships are consistent across ethnic populations at high risk for diabetes. We investigated the associations of BCAAs with insulin sensitivity (SI), acute insulin response (AIR), and metabolic clearance of insulin (MCRI) in a multiethnic cohort. RESEARCH DESIGN AND METHODS In 685 participants without diabetes of the Insulin Resistance Atherosclerosis Study (IRAS) (290 Caucasians, 165 African Americans, and 230 Hispanics), we measured plasma BCAAs (sum of valine, leucine, and isoleucine) by mass spectrometry and SI, AIR, and MCRI by frequently sampled intravenous glucose tolerance tests. RESULTS Elevated plasma BCAAs were inversely associated with SI and MCRI and positively associated with fasting insulin in regression models adjusted for potential confounders (β = −0.0012 [95% CI −0.0018, −0.00059], P < 0.001 for SI; β = −0.0013 [95% CI −0.0018, −0.00082], P < 0.001 for MCRI; and β = 0.0015 [95% CI 0.0008, 0.0023], P < 0.001 for fasting insulin). The association of BCAA with SI was significantly modified by ethnicity, with the association only being significant in Caucasians and Hispanics. Elevated plasma BCAAs were associated with incident diabetes in Caucasians and Hispanics (multivariable-adjusted odds ratio per 1-SD increase in plasma BCAAs: 1.67 [95% CI 1.21, 2.29], P = 0.002) but not in African Americans. Plasma BCAAs were not associated with SI-adjusted AIR. CONCLUSIONS Plasma BCAAs are associated with incident diabetes and underlying metabolic abnormalities, although the associations were generally stronger in Caucasians and Hispanics.
Published: 2016

176. Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis

Author: Nora Franceschini, Lawrence F. Bielak, Anne B. Newman, Maryam Kavousi, Dennis O. Mook-Kanamori, Usman Baber, Shih-Jen Hwang, Lisa R. Yanek, Dermot F. Reilly, Amanda J. Cox, Sharon L.R. Kardia, Gerardo Heiss, Bob D. de Vos, Mika Kähönen, Pradeep Natarajan, Sekar Kathiresan, Mark O. Goodarzi, James G. Wilson, Joanna M. Wardlaw, Thomas H. Mosley, Donald W. Bowden, Dhananjay Vaidya, Nathan O. Stitziel, Michael A. Province, Bruce M. Psaty, Wendy Post, Gina M. Peloso, Jeffrey R. O'Connell, Laura M. Raffield, Stephen Turner, Patricia A. Peyser, Yii-Der Ida Chen, Hayato Tada, Joshua C. Bis, Kari E. North, Renée de Mutsert, Abbas Dehghan, Albert Hofman, Aaron Isaacs, Tamara B. Harris, Udo Hoffmann, Daniel J. Rader, Laura M. Yerges-Armstrong, Jessica van Setten, Kent D. Taylor, Matthijs Oudkerk, Braxton D. Mitchell, Xiuqing Guo, Aad van der Lugt, Harry J. de Koning, Vilmundur Gudnason, Riccardo E. Marioni, Cornelia M. van Duijn, Ingrid B. Borecki, Jerome I. Rotter, Oscar H. Franco, Roxana Mehran, Ivana Išgum, Pim A. de Jong, L. Adrienne Cupples, J. Wouter Jukema, Ruifang Li-Gao, Valentin Fuster, Fernando Rivadeneira, Ulf Schminke, Eric Boerwinkle, Alexander Teumer, Henry Völzke, Frits R. Rosendaal, Stefan Weiss, Leo-Pekka Lyytikäinen, Susan R. Heckbert, Jie Yao, Uwe Völker, James S. Pankow, Ian J. Deary, Stella Trompet, J. Jeffrey Carr, Mary K. Wojczynski, Christopher J. O'Donnell, Albert V. Smith, Mary F. Feitosa, Samantha Sartori, Stephan B. Felix, Ayse Demirkan, Olli T. Raitakari, Diane M. Becker, Terho Lehtimäki, Marcus Dörr, Khanh-Dung H. Nguyen, Brian G. Kral, Min A. Jhun, Rasika A. Mathias, André G. Uitterlinden, Dina Vojinovic, Lewis C. Becker, Najaf Amin, Lenore J. Launer, Joseph M. Massaro, Christina L. Wassel, Academic Medical Center, Epidemiology, Public Health, Internal Medicine, Radiology & Nuclear Medicine, Erasmus MC other, Biochemie, RS: FHML MaCSBio, and RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases
Subjects: 0301 basic medicine, Apolipoprotein E, Carotid Artery Diseases, Aging, Apolipoprotein B, Apolipoprotein E2, Computed Tomography Angiography, Medical Biotechnology, Genome-wide association study, Coronary Artery Disease, Cardiorespiratory Medicine and Haematology, 030204 cardiovascular system & hematology, Cardiovascular, Coronary Angiography, INTIMA-MEDIA THICKNESS, 0302 clinical medicine, Gene Frequency, Risk Factors, Odds Ratio, 2.1 Biological and endogenous factors, Exome, Myocardial infarction, Aetiology, DEFECTIVE APOLIPOPROTEIN B-100, Genetics (clinical), Oligonucleotide Array Sequence Analysis, III HYPERLIPOPROTEINEMIA, biology, CARDIOVASCULAR RISK, Prognosis, Cholesterol, Heart Disease, Phenotype, Apolipoprotein B-100, Cardiology, medicine.symptom, Cardiology and Cardiovascular Medicine, Genetic Markers, CORONARY-ARTERY CALCIFICATION, BEAM COMPUTED-TOMOGRAPHY, medicine.medical_specialty, carotid intima-media thickness, Black People, Asymptomatic, Risk Assessment, Article, White People, LDL, 03 medical and health sciences, Clinical Research, Internal medicine, Genetics, medicine, Journal Article, genomics, Humans, Genetic Predisposition to Disease, cardiovascular diseases, Vascular Calcification, Heart Disease - Coronary Heart Disease, carotid intima–media thickness, Genetic association, genome-wide association study, business.industry, ta1184, Human Genome, Cholesterol, LDL, ta3121, Atherosclerosis, medicine.disease, coronary artery calcification, HEART-DISEASE RISK, AORTIC CALCIFICATION, Good Health and Well Being, 030104 developmental biology, Cardiovascular System & Hematology, Intima-media thickness, MYOCARDIAL-INFARCTION, OLD ORDER AMISH, Asymptomatic Diseases, CHARGE Consortium, biology.protein, business, exome
Abstract: Background— The burden of subclinical atherosclerosis in asymptomatic individuals is heritable and associated with elevated risk of developing clinical coronary heart disease. We sought to identify genetic variants in protein-coding regions associated with subclinical atherosclerosis and the risk of subsequent coronary heart disease. Methods and Results— We studied a total of 25 109 European ancestry and African ancestry participants with coronary artery calcification (CAC) measured by cardiac computed tomography and 52 869 participants with common carotid intima–media thickness measured by ultrasonography within the CHARGE Consortium (Cohorts for Heart and Aging Research in Genomic Epidemiology). Participants were genotyped for 247 870 DNA sequence variants (231 539 in exons) across the genome. A meta-analysis of exome-wide association studies was performed across cohorts for CAC and carotid intima–media thickness. APOB p.Arg3527Gln was associated with 4-fold excess CAC ( P =3×10 − 10 ). The APOE ε2 allele (p.Arg176Cys) was associated with both 22.3% reduced CAC ( P =1×10 − 12 ) and 1.4% reduced carotid intima–media thickness ( P =4×10 − 14 ) in carriers compared with noncarriers. In secondary analyses conditioning on low-density lipoprotein cholesterol concentration, the ε2 protective association with CAC, although attenuated, remained strongly significant. Additionally, the presence of ε2 was associated with reduced risk for coronary heart disease (odds ratio 0.77; P =1×10 − 11 ). Conclusions— Exome-wide association meta-analysis demonstrates that protein-coding variants in APOB and APOE associate with subclinical atherosclerosis. APOE ε2 represents the first significant association for multiple subclinical atherosclerosis traits across multiple ethnicities, as well as clinical coronary heart disease.
Published: 2016

177. African Ancestry Is Associated with Higher Intraocular Pressure in Latinos

Author: Yii-Der Ida Chen, Xiaoyi Gao, Mina Torres, Kent D. Taylor, Rohit Varma, Jerome I. Rotter, and Drew R. Nannini
Subjects: Male, 0301 basic medicine, Intraocular pressure, medicine.medical_specialty, genetic structures, Cross-sectional study, Genetic genealogy, Population, Black People, Type 2 diabetes, Article, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Surveys and Questionnaires, Ophthalmology, medicine, Humans, Risk factor, education, Intraocular Pressure, education.field_of_study, business.industry, Incidence, Hispanic or Latino, Middle Aged, medicine.disease, Los Angeles, eye diseases, Cross-Sectional Studies, 030104 developmental biology, Blood pressure, 030221 ophthalmology & optometry, Female, Ocular Hypertension, sense organs, business, Body mass index, Demography
Abstract: Purpose Intraocular pressure (IOP) is a major risk factor, as well as the only modifiable risk factor, for glaucoma. Racial differences have been observed in IOP measurements with individuals of African descent experiencing the highest IOP when compared with other ethnic groups. The purpose of this study was to examine the relationship between genetic ancestry and IOP in Latinos. Design Population-based genetic association study. Participants A total of 3541 participants recruited from the Los Angeles Latino Eye Study. Methods Study participants were genotyped using the Illumina OmniExpress BeadChip (∼730K markers). We used STRUCTURE to estimate individual genetic ancestry. Simple and multiple linear regression, as well as quantile regression, analyses were performed to investigate the relationship between genetic ancestry and IOP. Main Outcome Measures The relationship between genetic ancestry and IOP in Latinos. Results African ancestry was significantly associated with higher IOP in Latinos in our simple linear regression analysis ( P = 0.002). After adjusting for age, gender, body mass index, systolic blood pressure, central corneal thickness, and type 2 diabetes, this association remained significant ( P = 0.0005). The main association was modified by a significant interaction between African ancestry and hypertension ( P = 0.037), with hypertensive individuals experiencing a greater increase in IOP with increasing African ancestry. Conclusions To our knowledge, we demonstrate for the first time that African ancestry and its interaction with hypertension are associated with higher IOP in Latinos.
Published: 2016

178. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci

Author: Paul M. Ridker, Han Chen, Nathan O. Stitziel, Joshua C. Bis, Charles Kooperberg, Stephan B. Felix, Digna R. Velez Edwards, Cristian Pattaro, Alanna C. Morrison, Praveen Surendran, Adolfo Correa, Nilesh J. Samani, Johanna Jakobsdottir, Gulum Kosova, Fotios Drenos, Heribert Schunkert, Li-An Lin, Bruce M. Psaty, Vilmundur Gudnason, Jerome I. Rotter, Panos Deloukas, Uwe Völker, Ayush Giri, George J. Papanicolaou, Todd L. Edwards, E. Warwick Daw, André G. Uitterlinden, Eric Boerwinkle, Elias Salfati, Chunyu Liu, Tianxiao Huan, Eric Kim, Daniel Levy, Krystal S Tsosie, Albert V. Smith, Martin G. Larson, Georg Ehret, Cornelia M. van Duijn, Christopher J. O'Donnell, Stefan Weiss, Kiang Liu, Omri Gottesman, Wei Zhao, Claude Bouchard, Walter Palmas, Santhi K. Ganesh, Alexander P. Reiner, Kent D. Taylor, Mathias Gorski, Megan L. Grove, Wayne H-H Sheu, Wen-Jane Lee, Jennifer A. Brody, James P. Cook, Jacques E. Rossouw, Oscar H. Franco, Yongmei Liu, Erwin P. Bottinger, Christopher Newton-Cheh, Lisa W. Martin, Jie Yao, Paul L. Auer, Aldi T. Kraja, Kenneth Rice, Marcus Dörr, Hao Mei, Myriam Fornage, Najaf Amin, Lenore J. Launer, Jessica D. Faul, Arend Voorman, Shih-Jen Hwang, Nora Franceschini, Ingrid B. Borecki, Aravinda Chakravarti, Yingchang Lu, Yii-Der Ida Chen, Tamara B. Harris, Audrey Y. Chu, Sharon L.R. Kardia, Xiuqing Guo, David R. Weir, Rainer Rettig, Sekar Kathiresan, Ramachandran S. Vasan, Franco Giulianini, Leslie J. Raffel, Christian Fuchsberger, Daniel I. Chasman, Jeanette M. Stafford, Man Li, I-Te Lee, Henry Völzke, Ruth J. F. Loos, Jennifer A. Smith, Epidemiology, and Internal Medicine
Subjects: 0301 basic medicine, Blood Pressure/genetics, Genotype, Genome-wide association study, Blood Pressure, 030204 cardiovascular system & hematology, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, 0302 clinical medicine, Genetic variation, Genetics, Missense mutation, Humans, Exome, Polymorphism, Gene, Oligonucleotide Array Sequence Analysis, ddc:616, Genome, Genome, Human, Genetic Variation, Single Nucleotide, 030104 developmental biology, Blood pressure, Hypertension, Human genome, Hypertension/genetics, Human, Genome-Wide Association Study
Abstract: Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.
Published: 2016

179. Hyperinsulinemia in individuals with obesity: Role of insulin clearance

Author: Yii-Der Ida Chen, Sun H. Kim, Gerald M. Reaven, Mee Kyoung Kim, and Eric Kim
Subjects: medicine.medical_specialty, animal diseases, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Medicine (miscellaneous), 030209 endocrinology & metabolism, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Insulin resistance, Internal medicine, Healthy volunteers, medicine, Hyperinsulinemia, 030304 developmental biology, 0303 health sciences, Nutrition and Dietetics, Insulin blood, business.industry, Insulin, virus diseases, medicine.disease, Obesity, business, Body mass index, Hyperinsulinism
Abstract: Objective Several studies have shown decreased insulin clearance rate (ICR) in individuals with obesity, but it remains unclear whether this is predominately due to obesity-associated insulin resistance (IR) or obesity itself. We aimed to clarify the complex interrelationship that exists between obesity, IR and ICR.
Published: 2015

180. Erratum. Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control. Diabetes 2019;68:441—456

Author: Aaron Leong, Yii-Der Ida Chen, Iiro Toppila, Elizabeth J. Rossin, Alan D. Penman, I-Te Lee, Kathryn P. Burdon, Yucheng Jia, Sudha K. Iyengar, Helen M. Colhoun, Michael A. Grassi, Jie Jin Wang, Tien Yin Wong, Barry I. Freedman, Kaanan P. Shah, Ching J. Chen, Weihua Meng, Brian L. Yaspan, Samaneh Davoudi, David S. Siscovick, Per-Henrik Groop, Samy Hadjadj, Michel Marre, Ching-Yu Cheng, John R. Sedor, Xiuqing Guo, Albert V. Smith, Robert P. Igo, Kyu Hyung Park, Jerome I. Rotter, Andrew D. Paterson, Samuela Pollack, Sharon G. Adler, Alkes L. Price, Emily Y. Chew, Emma Ahlqvist, Eli Ipp, Jamie E Craig, Richard A. Jensen, Barbara E.K. Klein, Maggie C.Y. Ng, Leif Groop, Craig L. Hanis, Xiaohui Li, Atsushi Takahashi, Roberta McKean-Cowdin, Mark P. Christiansen, Lynn K. Stanwyck, Paul Mitchell, Shiro Maeda, Alex S. F. Doney, Darryl Nousome, Ronald Klein, Yang Hai, Mark I. McCarthy, Niina Sandholm, Kent D. Taylor, Andrew D. Morris, Rohit Varma, David-Alexandre Trégouët, Jihye Kim, Valeriya Lyssenko, Colin N. A. Palmer, Mary Frances Cotch, Jane Z. Kuo, Elisabet Agardh, S. Mohsen Hosseini, Michiaki Kubo, Jeeyun Ahn, Gavin Tan, Minako Imamura, Lucia Sobrin, Heather Hancock, Wayne Huey-Herng Sheu, Donald W. Bowden, Ayellet V. Segrè, and Latchezar Dimitrov
Subjects: Pediatrics, medicine.medical_specialty, Complications, business.industry, Endocrinology, Diabetes and Metabolism, Genome-wide association study, Diabetic retinopathy, medicine.disease, Diabetes mellitus, Internal Medicine, medicine, Duration (project management), business, Glycemic
Abstract: To identify genetic variants associated with diabetic retinopathy (DR), we performed a large multiethnic genome-wide association study. Discovery included eight European cohorts (n = 3,246) and seven African American cohorts (n = 2,611). We meta-analyzed across cohorts using inverse-variance weighting, with and without liability threshold modeling of glycemic control and duration of diabetes. Variants with a P value
Published: 2020

181. Trans-ethnic genome-wide association study of kidney function provides novel insight into effector genes and causal effects on kidney-specific disease aetiologies

Author: Nicole Dueker, Leslie J. Raffel, Andrew P. Morris, Nicholas G. Martin, Fadi J. Charchar, Gu Zhu, George Davey Smith, Eli Ipp, Nora Franceschini, Charles Kooperberg, Benjamin D. Humphreys, James P. Cook, Xiuqing Guo, Ali G. Gharavi, Anubha Mahajan, Miguel Cruz, Pamela A. F. Madden, Cathy C. Laurie, Johan Ärnlöv, Stephen S. Rich, Thu H. Le, Esteban J. Parra, Niels Wacher-Rodarte, Maciej Tomaszewski, John Whitfield, Susan H. Blanton, Harold Snieder, Erik Ingelsson, Ralph L. Sacco, Vilmantas Giedraitis, Adrienne M. Stilp, Johan Sundstrom, Koichi Matsuda, Peter J. van der Most, Yingchang Lu, Yii-Der Ida Chen, Erwin P. Bottinger, Krzysztof Kiryluk, Yoichiro Kamatani, Martin H. de Borst, Andrew C. Heath, Elena Sanchez, Girish N. Nadkarni, Yang Hai, Thomas A. Buchanan, Artur Akbarov, James Eales, Haojia Wu, Yukinori Okada, Jerome I. Rotter, Cecilia M. Lindgren, Tanja Rundek, Anders Larsson, Michiaki Kubo, Grant W. Montgomery, Adan Valladares-Salgado, Kyle J Gaulton, Gibran Hemani, Ruth J. F. Loos, Jeffrey Haessler, Jeffrey Damman, Holly J Mattix-Kramer, Anny H. Xiang, Josyf C. Mychaleckyj, Jianwen Cai, Lars Lind, George J. Papanicolaou, and Kent D. Taylor
Subjects: 0303 health sciences, Kidney, EZH2, Renal function, Genome-wide association study, Disease, Biology, medicine.disease, Bioinformatics, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, medicine, Gene, 030217 neurology & neurosurgery, 030304 developmental biology, Kidney disease, Genetic association
Abstract: Chronic kidney disease (CKD) affects ∼10% of the global population, with considerable ethnic differences in prevalence and aetiology. We assembled genome-wide association studies (GWAS)1-3 of estimated glomerular filtration rate (eGFR), a measure of kidney function that defines CKD, in 312,468 individuals from four ancestry groups. We identified 93 loci (20 novel), which were delineated to 127 distinct association signals. These signals were homogenous across ancestries, and were enriched for protein-coding exons, kidney-specific histone modifications, and transcription factor binding sites for HDAC2 and EZH2. Fine-mapping revealed 40 high-confidence variants driving eGFR associations and highlighted potential causal genes with cell-type specific expression in glomerulus, and proximal and distal nephron. Mendelian randomisation (MR) supported causal effects of eGFR on overall and cause-specific CKD, kidney stone formation, diastolic blood pressure (DBP) and hypertension. These results define novel molecular mechanisms and effector genes for eGFR, offering insight into clinical outcomes and routes to CKD treatment development.
Published: 2018

182. ZNF542P is a pseudogene associated with LDL response to simvastatin treatment

Author: Yii-Der Ida Chen, Ronald M. Krauss, Marisa W. Medina, Elizabeth Theusch, Yu-Lin Kuang, Celia Cubitt, Katrina Mitchel, Andréa C. Dosé, and Kyungpil Kim
Subjects: 0301 basic medicine, Simvastatin, Statin, medicine.drug_class, Pseudogene, lcsh:Medicine, Pharmacology, Cardiovascular, Article, Cell Line, LDL, Transcriptome, 03 medical and health sciences, chemistry.chemical_compound, Clinical Research, Cell Line, Tumor, Gene expression, medicine, Genetics, 2.1 Biological and endogenous factors, Humans, cardiovascular diseases, Aetiology, lcsh:Science, Gene, Multidisciplinary, Tumor, Cholesterol, business.industry, lcsh:R, Human Genome, nutritional and metabolic diseases, Cholesterol, LDL, Atherosclerosis, 3. Good health, 030104 developmental biology, Good Health and Well Being, chemistry, Pharmacogenetics, lcsh:Q, lipids (amino acids, peptides, and proteins), business, Pseudogenes, medicine.drug, Biotechnology
Abstract: Statins are the most commonly prescribed cardiovascular disease drug, but their inter-individual efficacy varies considerably. Genetic factors uncovered to date have only explained a small proportion of variation in low-density lipoprotein cholesterol (LDLC) lowering. To identify novel markers and determinants of statin response, we used whole transcriptome sequence data collected from simvastatin and control incubated lymphoblastoid cell lines (LCLs) established from participants of the Cholesterol and Pharmacogenetics (CAP) simvastatin clinical trial. We looked for genes whose statin-induced expression changes were most different between LCLs derived from individuals with high versus low plasma LDLC statin response during the CAP trial. We created a classification model of 82 “signature” gene expression changes that distinguished high versus low LDLC statin response. One of the most differentially changing genes was zinc finger protein 542 pseudogene (ZNF542P), the signature gene with changes most correlated with statin-induced change in cellular cholesterol ester, an in vitro marker of statin response. ZNF542P knock-down in a human hepatoma cell line increased intracellular cholesterol ester levels upon simvastatin treatment. Together, these findings imply a role for ZNF542P in LDLC response to simvastatin and, importantly, highlight the potential significance of noncoding RNAs as a contributing factor to variation in drug response.
Published: 2018

183. Are Physical Activity Associations with Bone Mineral Density Modified by Metabolic Traits?

Author: Jerome I. Rotter, Xiuqing Guo, Anshu Buttan, Mark O. Goodarzi, Yii-Der Ida Chen, and Willa A. Hsueh
Subjects: Bone mineral, Total physical activity, Univariate analysis, Multivariate analysis, business.industry, Endocrinology, Diabetes and Metabolism, Univariate, Healthy subjects, Physical activity, Insulin sensitivity, Physiology, Internal Medicine, Medicine, business
Abstract: We assessed the relationship of physical activity with BMD at various sites (by DEXA), and examined potential modifying factors, including insulin sensitivity by euglycemic clamp in 765 healthy subjects. Responses from physical activity questionnaires were used to determine total physical activity (PA), moderate physical activity (mod-PA), and sedentary time. Neither activity nor sedentary time correlated with rib, L-spine, or T-spine BMD in univariate analysis (Table). Significant univariate variables were included in multivariate analyses. In multivariate analyses of arm BMD, only female sex (β=-0.74, P Disclosure A. Buttan: None. X. Guo: None. Y. Chen: None. W. Hsueh: Advisory Panel; Self; Merck & Co., Inc., AstraZeneca, Novo Nordisk Inc.. J.I. Rotter: None. M.O. Goodarzi: None.
Published: 2018

184. Association between site-specific bone mineral density and glucose homeostasis and anthropometric traits in healthy men and women

Author: Jinrui Cui, Jerome I. Rotter, Yii-Der Ida Chen, Xiuqing Guo, Jane Rhyu, Se-Min Kim, Willa A. Hsueh, and Mark O. Goodarzi
Subjects: 0301 basic medicine, Blood Glucose, Male, Bone density, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Osteoporosis, Bone remodeling, Absorptiometry, Photon, 0302 clinical medicine, Endocrinology, Bone Density, insulin resistance, Glucose homeostasis, Insulin, Homeostasis, Bone mineral, Anthropometry, Diabetes, Photon, Female, Type 2, Adult, medicine.medical_specialty, Clinical Sciences, 030209 endocrinology & metabolism, Article, Paediatrics and Reproductive Medicine, 03 medical and health sciences, Young Adult, Endocrinology & Metabolism, Insulin resistance, Clinical Research, Internal medicine, medicine, Diabetes Mellitus, Humans, Absorptiometry, Metabolic and endocrine, body composition, business.industry, diabetes complications, Glucose Tolerance Test, clinical study, medicine.disease, osteoporosis, 030104 developmental biology, Glucose, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Multivariate Analysis, Lean body mass, business, hyperglycaemia
Abstract: ObjectivePatients with type 2 diabetes mellitus have an increased risk of fracture despite normal or increased bone mineral density (BMD). Studies on the relationship of glucose homeostasis with BMD phenotypes have been inconclusive because distinguishing the roles of insulin resistance and hyperglycaemia in bone remodelling is challenging. In this study, we sought to define the relationship of site-specific BMD with glucose homeostasis traits and anthropometric traits.Design/patients/measurementsIn a cross-sectional study, we examined 787 subjects from the Mexican-American Coronary Artery Disease (MACAD) cohort who had undergone euglycaemic-hyperinsulinaemic clamps, oral glucose tolerance testing and dual X-ray absorptiometry. Glucose homeostasis traits included insulinogenic index (IGI30), insulin sensitivity (M value), insulin clearance (MCRI), fasting insulin, fasting glucose and 2-hour glucose. Univariate and multivariate analyses were performed to assess the association of glucose homeostasis and anthropometric traits with site-specific BMD.ResultsTwo-hour glucose was negatively associated with arm BMD in women, which remained significant in multivariate analysis (β=-.15, P=.0015). Positive correlations between fasting insulin and BMD at weight-bearing sites, including pelvis (β=.22, P&nbsp
Published: 2018

185. Adiposity-Independent Effects of Aging on Insulin Sensitivity and Clearance in Humans and Mice

Author: Helen S. Goodridge, Jason K. Kim, Yii-Der Ida Chen, Miklós Péterfy, Willa A. Hsueh, Suchaorn Saengnipanthkul, Jinrui Cui, Thomas A. Buchanan, Louise Lantier, Mark O. Goodarzi, Nicole Ehrhardt, Xiuqing Guo, Leslie J. Raffel, Jerome I. Rotter, and Sezin Dagdeviren
Subjects: 2. Zero hunger, 0303 health sciences, medicine.medical_specialty, business.industry, Insulin, medicine.medical_treatment, Male mice, Insulin sensitivity, 030209 endocrinology & metabolism, Type 2 diabetes, Carbohydrate metabolism, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Insulin resistance, Internal medicine, medicine, business, Insulin secretion, 030304 developmental biology, Insulin tolerance
Abstract: Aims/hypothesisAging is associated with impaired insulin sensitivity and increased prevalence of type 2 diabetes. However, it remains unclear whether aging-related insulin resistance is due to age per se, or increased adiposity associated with advanced age. In the present study, we investigate the impact of aging on insulin sensitivity independent of changes in body composition.MethodsCohorts of C57BL/6J male mice at 4-8 months of age (‘young’) and 18-27 mo (‘aged’) exhibiting similar body composition were characterized with static (plasma glucose and insulin levels) and dynamic (glucose and insulin tolerance tests) measures of glucose metabolism on chow and high-fat diets. Insulin sensitivity was assessed by hyperinsulinemic-euglycemic clamp analysis. The relationship between aging and insulin resistance in humans was investigated in 1,250 non-diabetic Mexican-American individuals who underwent hyperinsulinemic-euglycemic clamps.ResultsIn mice with similar body composition, age had no detrimental effect on plasma glucose and insulin levels. However, aged mice demonstrated mildly, but reproducibly, improved glucose tolerance on both chow and high-fat diets due to increased glucose-stimulated insulin secretion. Moreover, hyperinsulinemic-euglycemic clamps revealed impaired insulin sensitivity and reduced insulin clearance in aged mice on both diets. Consistent with results in the mouse, age remained an independent determinant of insulin resistance after adjustment for body composition in Mexican-Americn males. Advanced age was also associated with diminished insulin clearance, but this effect was dependent on increased BMI.Conclusions/interpretationThis study demonstrates for the first time that aging per se impairs insulin sensitivity independent of adiposity in mice and humans. These results raise the possibility that the pathogenetic mechanisms of age-related and obesity-associated insulin resistance are distinct.AbbreviationsBAIbody adiposity indexGEEgeneralized estimating equations HF high-fatIQRinterquartile rangeMCRImetabolic clearance rate of insulinT2Dtype 2 diabetes
Published: 2018

186. Differences in First-Trimester Maternal Metabolomic Profiles in Pregnancies Conceived From Fertility Treatments

Author: Jerome I. Rotter, Tianyanxin Sun, John W Williams, Tania L Gonzalez, Yii-Der Ida Chen, Bora Lee, Charles R. Farber, Jason M. Kinchen, Stephen S. Rich, Jessica L. Chan, Erica T. Wang, Mark O. Goodarzi, Kent D. Taylor, and Margareta D. Pisarska
Subjects: 0301 basic medicine, Infertility, Adult, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, media_common.quotation_subject, Placenta, Clinical Biochemistry, Physiology, Context (language use), Fertility, Fertilization in Vitro, Biochemistry, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Pregnancy, Internal medicine, medicine, Humans, Metabolomics, Progesterone, Clinical Research Articles, media_common, 030219 obstetrics & reproductive medicine, Assisted reproductive technology, In vitro fertilisation, Estradiol, business.industry, Biochemistry (medical), Pregnancy Outcome, Middle Aged, medicine.disease, Pregnancy Complications, Pregnancy Trimester, First, 030104 developmental biology, medicine.anatomical_structure, Cohort, Female, business
Abstract: Context Maternal metabolic status reflects underlying physiological changes in the maternal-placental-fetal unit that may help identify contributors to adverse pregnancy outcomes associated with infertility and treatments used. Objective To determine if maternal metabolomic profiles differ between spontaneous pregnancies and pregnancies conceived with fertility treatments that may explain the differences in pregnancy outcomes. Design Metabolon metabolomic analysis and ELISAs for 17-β-estradiol and progesterone were performed during the late first trimester of pregnancy. Setting Academic institution. Subjects Women in the Spontaneous/Medically Assisted/Assisted Reproductive Technology cohort (N = 409), 208 of whom conceived spontaneously and 201 with infertility [non in vitro fertilization treatments (NIFT), n=90; in vitro fertilization (IVF), n=111]. Intervention Mode of conception. Main Outcome Measures Levels of of 806 metabolites within eight superpathways, 17-β-estradiol, and progesterone in maternal plasma in the late first trimester. Results Metabolomic differences in the lipid superpathway (i.e., steroid metabolites, lipids with docosahexaenoyl acyl chains, acyl cholines), and xanthine and benzoate metabolites (P < 0.05) were significant among the spontaneous and two infertility groups, with greatest differences between the spontaneous and IVF groups. 17-β-estradiol and progesterone levels were significantly elevated in the infertility groups, with greatest differences between the spontaneous and IVF groups. Conclusion Metabolomic profiles differ between spontaneous and infertility pregnancies, likely driven by IVF. Higher levels of steroids and their metabolites are likely due to increased hormone production from placenta reprogrammed from fertility treatments, which may contribute to adverse outcomes associated with infertility and the treatments used.
Published: 2018

187. Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval

Author: Tamara B. Harris, Niels Grarup, Marcus Dörr, Martina Müller-Nurasyid, Torben Hansen, Lu-Chen Weng, Honghuang Lin, Thibaud Boutin, Joshua C. Bis, Farid Radmanesh, Jie Yao, Nilesh J. Samani, Ozren Polašek, Massimo Mangino, Charles Kooperberg, Vilmundur Gudnason, Stephan B. Felix, Bruno H. Stricker, Elsayed Z. Soliman, Nathan A. Bihlmeyer, Jette Bork-Jensen, Dan E. Arking, J. Marten, Mika Kähönen, Kenneth Rice, Nona Sotoodehnia, Heather Jameson, Henry J. Lin, Jørgen K. Kanters, Jared W. Magnani, Mark Eijgelsheim, Hao Mei, Tim D. Spector, Oluf Pedersen, Allan Linneberg, G. Homuth, Chengping Wen, Olli T. Raitakari, Blair H. Smith, Marco V Perez, Melanie Waldenberger, Bram P. Prins, James G. Wilson, Xiuqing Guo, Sandosh Padmanabhan, Peter van der Meer, Stefan Weiss, Leo-Pekka Lyytikäinen, Colleen M. Sitlani, Alvaro Alonso, Leanne M. Hall, Cornelia M. van Duijn, Jessica van Setten, Helen R. Warren, Kent D. Taylor, Niek Verweij, Man Li, Moritz F. Sinner, Igor Rudan, Christopher P. Nelson, Emelia J. Benjamin, William J. Hucker, Marten E. van den Berg, Alan Hanley, Jerome I. Rotter, D. O. Mook-Kanamori, Susan R. Heckbert, Bruce M. Psaty, Caroline Hayward, Yalda Jamshidi, Patrick T. Ellinor, John M. C. Connell, Patricia B. Munroe, Lenore J. Launer, Stefan Kääb, Uwe Völker, Ruifang Li-Gao, Jan A. Kors, Annette Peters, J. Wouter Jukema, Jeffrey Haessler, Aaron Isaacs, Folkert W. Asselbergs, Rudolf A. de Boer, Konstantin Strauch, Albert V. Smith, Jonathan Rosand, Steven A. Lubitz, F. Rivadeneira, Nathan R. Tucker, Michiel L. Bots, Zhijun Xie, Jennifer A. Brody, Stella Trompet, Thomas Meitinger, André G. Uitterlinden, Pim van der Harst, Paul L. Huang, Henry Völzke, Terho Lehtimäki, Yii-Der Ida Chen, Cardiovascular Centre (CVC), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Epidemiology, Medical Informatics, Clinical Chemistry, Medical Biochemistry, ACS - Atherosclerosis & ischemic syndromes, ACS - Diabetes & metabolism, AII - Infectious diseases, AGEM - Endocrinology, metabolism and nutrition, AGEM - Inborn errors of metabolism, Amsterdam institute for Infection and Immunity, Amsterdam Gastroenterology Endocrinology Metabolism, Gastroenterology and Hepatology, Intensive Care Medicine, Experimental Immunology, Radiotherapy, Graduate School, Cardiology, Biochemie, RS: CARIM - R1.01 - Blood proteins & engineering, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, and RS: FHML MaCSBio
Subjects: Adult, Male, 0301 basic medicine, SCN10A, Heart morphogenesis, Quantitative Trait Loci, LOCI, Locus (genetics), Genome-wide association study, atrioventricular node, SUSCEPTIBILITY, Regulatory Sequences, Nucleic Acid, 030204 cardiovascular system & hematology, Quantitative trait locus, Biology, VARIANTS, Atrioventricular Node, Genetic Loci, Genome-wide Association Study, Article, genome-wide, 03 medical and health sciences, Electrocardiography, 0302 clinical medicine, Genetic variation, Humans, Genetic Predisposition to Disease, PR interval, GENOME-WIDE ASSOCIATION, SCN5A GENE, Aged, Genetic association, Genetics, genome-wide association study, HERITABILITY, MUTATIONS, Genetic Variation, genetic loci, General Medicine, Middle Aged, ta3121, Heritability, DILATED CARDIOMYOPATHY, 030104 developmental biology, LONG QT SYNDROME, CONDUCTION, ATRIAL-FIBRILLATION, Female, QRS DURATION, SUDDEN CARDIAC DEATH
Abstract: Background: Electrical conduction from the cardiac sinoatrial node to the ventricles is critical for normal heart function. Genome-wide association studies have identified more than a dozen common genetic loci that are associated with PR interval. However, it is unclear whether rare and low-frequency variants also contribute to PR interval heritability. Methods: We performed large-scale meta-analyses of the PR interval that included 83 367 participants of European ancestry and 9436 of African ancestry. We examined both common and rare variants associated with the PR interval. Results: We identified 31 genetic loci that were significantly associated with PR interval after Bonferroni correction ( P −6 ), including 11 novel loci that have not been reported previously. Many of these loci are involved in heart morphogenesis. In gene-based analysis, we found that multiple rare variants at MYH6 ( P =5.9×10 −11 ) and SCN5A ( P =1.1×10 −7 ) were associated with PR interval. SCN5A locus also was implicated in the common variant analysis, whereas MYH6 was a novel locus. Conclusions: We identified common variants at 11 novel loci and rare variants within 2 gene regions that were significantly associated with PR interval. Our findings provide novel insights to the current understanding of atrioventricular conduction, which is critical for cardiac activity and an important determinant of health.
Published: 2018

188. Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease

Author: Danish Saleheen, Krishna G. Aragam, Wendy S. Post, Jerome I. Rotter, Pradeep Natarajan, Jennifer A. Mattera, Roberto Elosua, Usman Baber, Matthew J. Bown, Ruth McPherson, John Danesh, Yii-Der Ida Chen, Stephen S. Rich, Derek Klarin, Paul M. Ridker, Sekar Kathiresan, Kent D. Taylor, James G. Wilson, Seyedeh M. Zekavat, Akihiro Nomura, Diego Ardissino, Amit Khera, Connor A. Emdin, John A. Spertus, Bruce M. Psaty, Daniel I. Chasman, Namrata Gupta, Wayne H-H Sheu, Judith H. Lichtman, Joshua C. Denny, Hugh Watkins, Harlan M. Krumholz, Heribert Schunkert, Gail D'Onofrio, Stacey Gabriel, Mark Chaffin, Alexander G. Bick, Jeanette Erdmann, Mary E. Haas, Lisa Bastarache, Nilesh J. Samani, Emdin, Connor A [0000-0002-2385-8259], Chaffin, Mark [0000-0002-1234-5562], Erdmann, Jeanette [0000-0002-4486-6231], Saleheen, Danish [0000-0001-6193-020X], Kathiresan, Sekar [0000-0002-6724-032X], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, General Physics and Astronomy, Disease, 030204 cardiovascular system & hematology, Cardiovascular, 0302 clinical medicine, Gene Frequency, Databases, Genetic, 2.1 Biological and endogenous factors, Aetiology, lcsh:Science, 2. Zero hunger, Genetics, Multidisciplinary, Diabetis, medicine.diagnostic_test, Metabolisme, 3. Good health, Fenotip, Heart Disease, Phenotype, Type 2, Biotechnology, Science, Biology, General Biochemistry, Genetics and Molecular Biology, Article, Frameshift mutation, Databases, 03 medical and health sciences, Genetic, Genetic variation, Diabetes Mellitus, medicine, Respiratory Hypersensitivity, Humans, Genetic Testing, Obesity, Allele, Allele frequency, Gene, Heart Disease - Coronary Heart Disease, Metabolic and endocrine, Loss function, Genetic testing, Human Genome, Genetic Variation, Proteins, General Chemistry, Atherosclerosis, United Kingdom, Good Health and Well Being, 030104 developmental biology, Diabetes Mellitus, Type 2, lcsh:Q
Abstract: Less than 3% of protein-coding genetic variants are predicted to result in loss of protein function through the introduction of a stop codon, frameshift, or the disruption of an essential splice site; however, such predicted loss-of-function (pLOF) variants provide insight into effector transcript and direction of biological effect. In >400,000 UK Biobank participants, we conduct association analyses of 3759 pLOF variants with six metabolic traits, six cardiometabolic diseases, and twelve additional diseases. We identified 18 new low-frequency or rare (allele frequency, Examination of predicted loss-of-function (pLOF) genetic variants allows direct identification of genes with therapeutic potential. Here, Emdin et al. perform association analysis for 3759 pLOF variants with 24 traits and highlight protective variants against cardiometabolic and immune phenotypes.
Published: 2018

189. Genome-wide interaction with the insulin secretion locus MTNR1B reveals CMIP as a novel type 2 diabetes susceptibility gene in African Americans

Author: Myriam Fornage, Yii-Der Ida Chen, Maggie C.Y. Ng, James S. Pankow, Stephen S. Rich, Jerome I. Rotter, Adolfo Correa, Laura J. Rasmussen-Torvik, Donald W. Bowden, Kent D. Taylor, James G. Wilson, Meijian Guan, Barry I. Freedman, Chuan Gao, Lynne E. Wagenknecht, Jacob M. Keaton, Jacklyn N. Hellwege, and Nicholette D. Palmer
Subjects: 0301 basic medicine, Male, Epidemiology, medicine.medical_treatment, Genome-wide association study, Type 2 diabetes, Body Mass Index, 0302 clinical medicine, Models, insulin resistance, Insulin Secretion, 2.1 Biological and endogenous factors, Insulin, Aetiology, Genetics (clinical), Melatonin, Genetics, Diabetes, Adaptor Proteins, Single Nucleotide, Middle Aged, Public Health and Health Services, Female, Type 2, Receptor, Adult, 030209 endocrinology & metabolism, Locus (genetics), Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Insulin resistance, Genetic, Diabetes Mellitus, medicine, insulin sensitivity, SNP, Humans, Genetic Predisposition to Disease, Polymorphism, 1000 Genomes Project, Metabolic and endocrine, Adaptor Proteins, Signal Transducing, Aged, Adiponectin, Models, Genetic, Receptor, Melatonin, MT2, Prevention, MT2, Human Genome, Signal Transducing, nutritional and metabolic diseases, Epistasis, Genetic, medicine.disease, Black or African American, 030104 developmental biology, Diabetes Mellitus, Type 2, Case-Control Studies, Epistasis, gene-gene interactions, Genome-Wide Association Study
Abstract: Although type 2 diabetes (T2D) results from metabolic defects in insulin secretion and insulin sensitivity, most of the genetic risk loci identified to date relates to insulin secretion. We reported that T2D loci influencing insulin sensitivity may be identified through interactions with insulin secretion loci, thereby leading to T2D. Here, we hypothesize that joint testing of variant main effects and interaction effects with an insulin secretion locus increases power to identify genetic interactions leading to T2D. We tested this hypothesis with an intronic MTNR1B SNP, rs10830963, which is associated with acute insulin response to glucose, a dynamic measure of insulin secretion. rs10830963 was tested for interaction and joint (main + interaction) effects with genome-wide data in African Americans (2,452 cases and 3,772 controls) from five cohorts. Genome-wide genotype data (Affymetrix Human Genome 6.0 array) was imputed to a 1000 Genomes Project reference panel. T2D risk was modeled using logistic regression with rs10830963 dosage, age, sex, and principal component as predictors. Joint effects were captured using the Kraft two degrees of freedom test. Genome-wide significant (P&nbsp
Published: 2018

190. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Author: Ching-Ti Liu, Michael Boehnke, George Dedoussis, Sophie V. Eastwood, Ruth J. F. Loos, Keng-Hung Lin, Denis Rybin, Fredrik Karpe, Martina Müller-Nurasyid, Michael A. Province, Alison D. Murray, Bo Isomaa, Eirini Marouli, Konstantin Strauch, Michael Preuss, Paul M. Ridker, Jette Bork-Jensen, Albert V. Smith, Hugoline G. de Haan, Wayne Huey-Herng Sheu, Barbara Thorand, Wolfgang Rathmann, Lawrence F. Bielak, Peter Kovacs, Marit E. Jørgensen, Jennifer Wessel, Danish Saleheen, Jung-Jin Lee, James B. Meigs, Veikko Salomaa, Alena Stančáková, Tibor V. Varga, Hidetoshi Kitajima, Inês Barroso, Kent D. Taylor, Claudia Langenberg, Yoon Shin Cho, Joanna M. M. Howson, Andrew T. Hattersley, Marie-France Hivert, Markku Laakso, Kai-Uwe Eckardt, Bram P. Prins, Matthias B. Schulze, Andrew D. Morris, Susanne Jäger, Francis S. Collins, Kristi Läll, Xu Lin, Anette Varbo, Benjamin Lehne, Girish N. Nadkarni, Jonathan Marchini, Daniel I. Chasman, Michael Stumvoll, Mark O. Goodarzi, Cécile Lecoeur, Philippe M. Frossard, Noël P. Burtt, Frank Kee, Jasmina Kravic, Alain G. Bertoni, Ivan Brandslund, Najaf Amin, Lenore J. Launer, Oluf Pedersen, Johanna Kuusisto, Line Rode, Eleftheria Zeggini, Yingchang Lu, Markus Perola, Helen R. Warren, André G. Uitterlinden, Hanieh Yaghootkar, Torben Hansen, Harald Grallert, Annemari Käräjämäki, Abbas Dehghan, Gina M. Peloso, Yii-Der Ida Chen, Man Li, Shaofeng Huo, Lars Lind, Karen L. Mohlke, Adrienne Tin, Yang Hai, Renée de Mutsert, Gudmar Thorleifsson, Marie Moitry, Sune F. Nielsen, Sara M. Willems, Matthias Wuttke, Weihua Zhang, Young-Jin Kim, Giovanni Malerba, Richard A. Jensen, Loic Yengo, Mickaël Canouil, Kurt Lohman, Robert A. Scott, Tamara B. Harris, Ruifang Li-Gao, Florian Kronenberg, Anke Tönjes, Bok-Ghee Han, Krista Fischer, Thomas Meitinger, James S. Pankow, Jaakko Tuomilehto, Adam S. Butterworth, Jerome I. Rotter, Olov Rolandsson, Xiuqing Guo, Cramer Christensen, Marie Loh, Elizabeth Selvin, Bong-Jo Kim, Audrey Y. Chu, Reedik Mägi, Josée Dupuis, Anna Köttgen, Jean Ferrières, Jin Li, Robert Sladek, Leslie A. Lange, Niels Grarup, Roberta McKean-Cowdin, Cristen J. Willer, Jose C. Florez, Valgerdur Steinthorsdottir, Karina Meidtner, Annette Peters, Børge G. Nordestgaard, Rajiv Chowdhury, Ioanna Ntalla, Emma Ahlqvist, Leif Groop, Nicholas J. Wareham, Kerrin S. Small, Tiinamaija Tuomi, Cecilia M. Lindgren, Katharine R. Owen, Giovanni Gambaro, Cornelia M. van Duijn, Dennis O. Mook-Kanamori, Kenneth Rice, Erik Ingelsson, Colin N. A. Palmer, Sharon L.R. Kardia, Neil R. Robertson, Dajiang J. Liu, Sebastian Schönherr, Daniel Taliun, Sekar Kathiresan, James G. Wilson, Ping An, Patricia A. Peyser, Matthias Blüher, Frits R. Rosendaal, John C. Chambers, Caroline Hayward, Shoaib Afzal, Fernando Rivadineira, Marielisa Graff, Pranav Yajnik, Vasiliki Mamakou, Juan Fernandez Tajes, Stefan Gustafsson, Heather M. Highland, Vilmantas Giedraitis, Andrew R. Wood, Saima Afaq, Jaspal S. Kooner, Megan L. Grove, Jennifer A. Brody, Andrew P. Morris, James P. Cook, Praveen Surendran, Jennifer Kriebel, Heikki A. Koistinen, Kari Stefansson, Anders Rosengren, Rainer Rauramaa, Satu Männistö, Oscar H. Franco, Yongmei Liu, N. William Rayner, Blair H. Smith, Erwin P. Bottinger, Ayse Demirkan, Allan Linneberg, Jonathan Marten, Huaixing Li, Sung Soo Kim, Sophie Hackinger, Cristina Bombieri, Lia B. Bang, Jun Liu, Asif Rasheed, Tim D. Spector, Paul W. Franks, Mark I. McCarthy, Heiner Boeing, Anne E. Justice, Vilmundur Gudnason, Sohee Han, Unnur Thorsteinsdottir, Panos Deloukas, Naveed Sattar, Eric Boerwinkle, Martin Ingelsson, John Danesh, Vassily Trubetskoy, Marco M Ferrario, Marju Orho-Melander, Wei Gan, Philippe Froguel, Symen Ligthart, Susan R. Heckbert, Jie Yao, Anne Tybjærg-Hansen, Robin Young, Daniel R. Witte, Anubha Mahajan, Peter Almgren, Timothy M. Frayling, Tanya M. Teslovich, Matt Neville, Philippe Amouyel, Wei Zhao, Andres Metspalu, Yao Hu, Olle Melander, Kari Kuulasmaa, Jason Flannick, Torben Jørgensen, Stephen S. Rich, Nicole Soranzo, Bruce M. Psaty, Rohit Varma, Epidemiology, and Internal Medicine
Subjects: 0301 basic medicine, Male, Inference, Genome-wide association study, Whole Exome Sequencing, 0302 clinical medicine, type 2 diabetes, coding variant associations signals, mechanistic inference, fine mapping, Coding region, Chromosome Mapping/statistics & numerical data, European Continental Ancestry Group/genetics, CONFERS SUSCEPTIBILITY, Exome sequencing, 11 Medical and Health Sciences, Genetics, Genetics & Heredity, 0303 health sciences, MAGIC Consortium, Chromosome Mapping, Whole Exome Sequencing/statistics & numerical data, Identification (information), RARE VARIANTS, LOW-FREQUENCY, Female, ExomeBP Consortium, Life Sciences & Biomedicine, SUSCEPTIBILITY LOCI, Posterior probability, European Continental Ancestry Group, 030209 endocrinology & metabolism, Context (language use), Computational biology, Biology, GENOTYPE IMPUTATION, Article, White People, GENETIC ARCHITECTURE, 03 medical and health sciences, SDG 3 - Good Health and Well-being, QUALITY-CONTROL, Exome Sequencing, Genome-Wide Association Study/statistics & numerical data, Journal Article, GIANT Consortium, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Alleles, Genetic association, 030304 developmental biology, FATTY LIVER-DISEASE, Science & Technology, Genetic Variation, 06 Biological Sciences, Genetic architecture, Minor allele frequency, BODY-MASS INDEX, 030104 developmental biology, Diabetes Mellitus, Type 2, Diabetes Mellitus, Type 2/classification, 030217 neurology & neurosurgery, Coding (social sciences), Genome-Wide Association Study, Developmental Biology
Abstract: Identification of coding variant associations for complex diseases offers a direct route to biological insight, but is dependent on appropriate inference concerning the causal impact of those variants on disease risk. We aggregated coding variant data for 81,412 type 2 diabetes (T2D) cases and 370,832 controls of diverse ancestry, identifying 40 distinct coding variant association signals (at 38 loci) reaching significance (p−7). Of these, 16 represent novel associations mapping outside known genome-wide association study (GWAS) signals. We make two important observations. First, despite a threefold increase in sample size over previous efforts, only five of the 40 signals are driven by variants with minor allele frequency 1.29. Second, we used GWAS data from 50,160 T2D cases and 465,272 controls of European ancestry to fine-map these associated coding variants in their regional context, with and without additional weighting to account for the global enrichment of complex trait association signals in coding exons. At the 37 signals for which we attempted fine-mapping, we demonstrate convincing support (posterior probability >80% under the “annotation-weighted” model) that coding variants are causal for the association at 16 (including novel signals involving POC5 p.His36Arg, ANKH p.Arg187Gln, WSCD2 p.Thr113Ile, PLCB3 p.Ser778Leu, and PNPLA3 p.Ile148Met). However, at 13 of the 37 loci, the associated coding variants represent “false leads” and naïve analysis could have led to an erroneous inference regarding the effector transcript mediating the signal. Accurate identification of validated targets is dependent on correct specification of the contribution of coding and non-coding mediated mechanisms at associated loci.
Published: 2018

191. Metabolomics Identifies Distinctive Metabolite Signatures for Measures of Glucose Homeostasis: The Insulin Resistance Atherosclerosis Family Study (IRAS-FS)

Author: Carlos Lorenzo, Yii-Der Ida Chen, Lynne E. Wagenknecht, Carl D. Langefeld, Maggie C.Y. Ng, Nicholette D. Palmer, Hayrettin Okut, Jill M. Norris, Kent D. Taylor, Mark O. Goodarzi, Donald W. Bowden, Richard N. Bergman, Jerome I. Rotter, and Fang-Chi Hsu
Subjects: 0301 basic medicine, Adult, Blood Glucose, Male, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Metabolite, Clinical Biochemistry, Carbohydrate metabolism, Biology, Biochemistry, Cohort Studies, 03 medical and health sciences, chemistry.chemical_compound, Endocrinology, Insulin resistance, Internal medicine, parasitic diseases, Mexican Americans, Metabolome, medicine, Glucose homeostasis, Homeostasis, Humans, Metabolomics, Family, Clinical Research Articles, chemistry.chemical_classification, Biochemistry (medical), fungi, food and beverages, Middle Aged, medicine.disease, Atherosclerosis, carbohydrates (lipids), 030104 developmental biology, Glucose, chemistry, Basal (medicine), Homeostatic model assessment, Female, Insulin Resistance, Energy Metabolism, Polyunsaturated fatty acid
Abstract: Context Metabolomics provides a biochemical fingerprint that, when coupled with clinical phenotypes, can provide insight into physiological processes. Objective Survey metabolites associated with dynamic and basal measures of glucose homeostasis. Design Analysis of 733 plasma metabolites from the Insulin Resistance Atherosclerosis Family Study. Setting Community based. Participants One thousand one hundred eleven Mexican Americans. Main Outcome Dynamic measures were obtained from the frequently sampled intravenous glucose tolerance test and included insulin sensitivity and acute insulin response to glucose. Basal measures included homeostatic model assessment of insulin resistance and β-cell function. Results Insulin sensitivity was associated with 99 metabolites (P < 6.82 × 10−5) explaining 28% of the variance (R2adj) beyond 28% by body mass index. Beyond branched chain amino acids (BCAAs; P = 1.85 × 10−18 to 1.70 × 10−5, R2adj = 8.1%) and phospholipids (P = 3.51 × 10−17 to 3.00 × 10−5, R2adj = 14%), novel signatures of long-chain fatty acids (LCFAs; P = 4.49 × 10−23 to 4.14 × 10−7, R2adj = 11%) were observed. Conditional analysis suggested that BCAA and LCFA signatures were independent. LCFAs were not associated with homeostatic model assessment of insulin resistance (P > 0.024). Acute insulin response to glucose was associated with six metabolites; glucose had the strongest association (P = 5.68 × 10−16). Homeostatic model assessment of β-cell function had significant signatures from the urea cycle (P = 9.64 × 10−14 to 7.27 × 10−6, R2adj = 11%). Novel associations of polyunsaturated fatty acids (P = 2.58 × 10−13 to 6.70 × 10−5, R2adj = 10%) and LCFAs (P = 9.06 × 10−15 to 3.93 × 10−7, R2adj = 10%) were observed with glucose effectiveness. Assessment of the hyperbolic relationship between insulin sensitivity and secretion through the disposition index revealed a distinctive signature of polyunsaturated fatty acids (P = 1.55 × 10−12 to 5.81 × 10−6; R2adj = 3.8%) beyond that of its component measures. Conclusions Metabolomics reveals distinct signatures that differentiate dynamic and basal measures of glucose homeostasis and further identifies new metabolite classes associated with dynamic measures, providing expanded insight into the metabolic basis of insulin resistance.
Published: 2018

192. Genetic Variants Associated With Obesity and Insulin Resistance in Hispanic Boys With Nonalcoholic Fatty Liver Disease

Author: Katherine P. Yates, Jean P. Molleston, Xiuqing Guo, Rohit Loomba, Mark O. Goodarzi, Naga Chalasani, Soonil Kwon, Jeffrey B. Schwimmer, Joel E. Lavine, Yii-Der Ida Chen, John C. Rausch, Jerome I. Rotter, Elizabeth M. Brunt, and Kent D. Taylor
Subjects: 0301 basic medicine, Blood Glucose, Male, Pediatric Obesity, Genotyping Techniques, Genome-wide association study, 030204 cardiovascular system & hematology, Gastroenterology, Body Mass Index, Cohort Studies, 0302 clinical medicine, Non-alcoholic Fatty Liver Disease, Risk Factors, Nonalcoholic fatty liver disease, Prevalence, Insulin, Longitudinal Studies, Prospective Studies, Prospective cohort study, Child, Adiposity, Hispanic or Latino, Lipids, Liver, Cohort study, medicine.medical_specialty, Adolescent, digestive system, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Insulin resistance, Internal medicine, medicine, Humans, Genetic Predisposition to Disease, Glycated Hemoglobin, business.industry, nutritional and metabolic diseases, Genetic Variation, medicine.disease, Obesity, digestive system diseases, 030104 developmental biology, Pediatrics, Perinatology and Child Health, Steatohepatitis, Insulin Resistance, business, Body mass index, Genome-Wide Association Study
Abstract: BACKGROUND AND OBJECTIVES: Nonalcoholic fatty liver disease (NAFLD) disproportionately affects Hispanic boys. Further, obesity and insulin resistance are major risk factors for NAFLD. No gene localization studies had been performed on children with biopsy-proven NAFLD. This study aims to identify genomic variants associated with increased adiposity and insulin resistance in a population of children with varying histologic severity of NAFLD. METHODS: We conducted a genome-wide association scan (GWAS) including 624,297 single nucleotide polymorphisms (SNPs) distributed among all 22 autosomal chromosomes in 234 Hispanic boys (up to 18 years of age) who were consecutively recruited in a prospective cohort study in the Nonalcoholic Steatohepatitis Clinical Research Network Studies. Traits were examined quantitatively using linear regression. SNPs with p-value 5% were considered potentially significant. RESULTS: Evaluated subjects had a median age of 12.0 years, BMI of 31.4, and hemoglobin A1C (Hgb A1C) of 5.3. The prevalence of NAFL, borderline NASH and definite NASH were 23%, 53%, and 22%, respectively. The GWAS identified 10 SNPs that were associated with BMI z-score, 6 within chromosome 2, and 1 within CAMK1D, which has a potential role in liver gluconeogenesis. In addition, the GWAS identified 9 novel variants associated with insulin resistance: HOMA-IR (6) and HbA1c (3). CONCLUSIONS: This study of Hispanic boys with biopsy-proven NAFLD with increased risk for the metabolic syndrome revealed novel genetic variants that are associated with obesity and insulin resistance.
Published: 2018

193. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

Author: Alison Pattie, Ailith Pirie, Francis S. Collins, Charles Kooperberg, Nienke van Leeuwen, Carmel Moore, Sharon L.R. Kardia, Neil R. Robertson, Lisa Bastarache, Allan Linneberg, Peter T. Campbell, Helena Kuivaniemi, Struan F.A. Grant, Sascha Fauser, Sekar Kathiresan, Lars Lind, Erin B. Ware, Olli T. Raitakari, Dawn M. Waterworth, James G. Wilson, Markus Perola, Chris J. Packard, Michelle L. O'Donoghue, Fredrik Karpe, Roel A. Ophoff, Sailaja Vedantam, Artitaya Lophatananon, Uwe Völker, Emmanouil Tsafantakis, Hakon Hakonarson, Dajiang J. Liu, Craig E. Pennell, Xueling Sim, Jennifer E. Huffman, Sandosh Padmanabhan, Digna R. Velez Edwards, Michiel L. Bots, Ayush Giri, Renée de Mutsert, Emanuele Di Angelantonio, Nicholas J. Wareham, Jin Li, Gail P. Jarvik, Evangelos Evangelou, Anne Tybjærg-Hansen, Patricia B. Munroe, Penny Gordon-Larsen, Lia E. Bang, Ivan Brandslund, Hester M. den Ruijter, Jussi Hernesniemi, Nancy L. Heard-Costa, Angela L. Mazul, Jonathan Tyrer, Danish Saleheen, Mark J. Caulfield, John Andrew Pospisilik, Annette Peters, Caroline Hayward, Iris M. Heid, J. Wouter Jukema, Valérie Turcot, Matt Neville, Rudolf Uher, Patricia A. Peyser, Jessica D. Faul, Asif Rasheed, Shuai Wang, John C. Chambers, Jordi Corominas Galbany, Murray H. Brilliant, Yucheng Jia, Torben Hansen, Veikko Salomaa, Mary F. Feitosa, Mathias Gorski, Li-An Lin, George Dedoussis, Honghuang Lin, Ethan M. Lange, Veronique Vitart, Bratati Kahali, Alexander Teumer, Jerome I. Rotter, Wayne H-H Sheu, Vilmantas Giedraitis, Aliki-Eleni Farmaki, Lorraine Southam, Ele Ferrannini, Anette P. Gjesing, Krina T. Zondervan, Stavroula Kanoni, David J. Roberts, Rebecca S. Fine, Svati H. Shah, Tugce Karaderi, Claudia Langenberg, Stefan Johansson, Elizabeth K. Speliotes, Alexander P. Reiner, Ching-Ti Liu, Yiqin Wang, Pål R. Njølstad, Gabriel Cuellar-Partida, Amanda J. Cox, Tim D. Spector, Paul W. Franks, Anke Tönjes, John D. Rioux, Jeffrey Haessler, Paul L. Auer, Ingrid B. Borecki, Deborah J. Thompson, Weihua Zhang, John R. B. Perry, Paul Elliott, Folkert W. Asselbergs, Myriam Fornage, Ken Sin Lo, Marie Moitry, Paul Mitchell, Martin den Heijer, Zoltán Kutalik, Tune H. Pers, Kari Stefansson, Kari Kuulasmaa, Robert E. Schoen, Mark C.H. De Groot, Laura M. Yerges-Armstrong, Jing Hua Zhao, Beverley Balkau, Peggy L. Peissig, Michael Boehnke, Janie Corley, Katharine R. Owen, Unnur Thorsteinsdottir, Naveed Sattar, Sita H. Vermeulen, Thomas N. Person, Mark I. McCarthy, Paul I.W. de Bakker, David Lamparter, Poorva Mudgal, Nicholette D. Palmer, Maria Karaleftheri, Jan-Håkan Jansson, Ozren Polasek, Ruth J. F. Loos, Daniel R. Witte, Dermot F. Reilly, Anubha Mahajan, Stella Trompet, James A. Perry, Yingchang Lu, Claudia Schurmann, Yii-Der Ida Chen, Hidetoshi Kitajima, Dale R. Nyholt, John Danesh, Pamela J. Schreiner, Narisu Narisu, Jose C. Florez, Adelheid Lempradl, Gerome Breen, Torben Jørgensen, Anu Loukola, Joe Dennis, Hans-Jörgen Grabe, Vilmundur Gudnason, Timo A. Lakka, Heather M. Highland, Sven Bergmann, Marie-Pierre Dubé, Giovanni Veronesi, Martina Müller-Nurasyid, Jaakko Tuomilehto, Nele Friedrich, Joel N. Hirschhorn, Pia R. Kamstrup, Nilesh J. Samani, Josh C. Denny, Mika Kähönen, Massimiliano Cocca, Liang Sun, Karina Meidtner, Carsten A. Böger, Sara M. Willems, Marcelo P. Segura-Lepe, Johanna Kuusisto, Hanieh Yaghootkar, Konstantin Strauch, Ruth Frikke-Schmidt, Jane Gibson, Matti Uusitupa, Oscar H. Franco, Yongmei Liu, Heather M. Stringham, Rohit Varma, Grant W. Montgomery, Dennis O. Mook-Kanamori, Stefania Cappellani, Paul L. Huang, Albert V. Smith, Eric Kim, Anke R. Hammerschlag, Katherine S. Ruth, Carolina Medina-Gomez, Gerard Pasterkamp, Cristen J. Willer, Alisa K. Manning, Frida Renström, René S. Kahn, Lili Milani, Feijie Wang, Tessel E. Galesloot, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Adam S. Butterworth, Tamara B. Harris, Matthew A. Allison, Paul M. Ridker, David J. Carey, Todd L. Edwards, Panos Deloukas, Xiuqing Guo, Lawrence F. Bielak, Leena Moilanen, Heiner Boeing, Peter Kovacs, Karen L. Mohlke, Myriam Rheinberger, Cramer Christensen, Betina H. Thuesen, Mike A. Nalls, Erik Ingelsson, Nicholas G. D. Masca, Colin N. A. Palmer, Audrey E. Hendricks, Linda Broer, Vanisha Mistry, Praveen Surendran, Audrey Y. Chu, Rainer Rauramaa, Angela D'Eustacchio, Helen Griffiths, Satu Männistö, Patrick T. Ellinor, Terho Lehtimäki, Katherine E. Tansey, I. Sadaf Farooqi, Gaëlle Marenne, Anneke I. den Hollander, Jessica van Setten, Hannu Puolijoki, Tinca J. C. Polderman, Timothy M. Frayling, Niels Grarup, Eric Boerwinkle, Gonçalo R. Abecasis, Adam E. Locke, Mengmeng Du, Manuel A. Rivas, Philippe Amouyel, Jaakko Kaprio, Leslie A. Lange, Loes M. Olde Loohuis, Trevor A. Mori, Lambertus A. Kiemeney, Wei Zhao, Eva Rb Petersen, Huaixing Li, Thomas W. Winkler, Tellervo Korhonen, Kathleen Stirrups, Jean Ferrières, Wei Zhou, Ian J. Deary, Guillaume Lettre, M. Arfan Ikram, Alex W. Hewitt, Marit E. Jørgensen, Ian Ford, Liang He, Mark Walker, Stefan Gustafsson, Andre Franke, Yao Hu, Jaana Lindström, Jonathan P. Bradfield, Anne E. Justice, Kristin L. Young, Sander W. van der Laan, Shuang Feng, Yadav Sapkota, Douglas F. Easton, Cornelia M. van Duijn, Amy J. Swift, Kjell Nikus, Helen R. Warren, Christian Theil Have, Wei Gan, Steven A. Lubitz, Harvey D. White, Pirjo Komulainen, John M. Starr, Jeffrey R. O'Connel, Anette Varbo, Daniel I. Chasman, Ruifang Li-Gao, Lynne E. Wagenknecht, Matthias Blüher, Xiaowei Zhan, Thomas F. Vogt, Eleftheria Zeggini, Tamuno Alfred, Katja K.H. Aben, Lars Wallentin, Joanna M. M. Howson, Jie Yao, Eulalia Catamo, Henrik Vestergaard, Gina M. Peloso, Markku Laakso, Matthias B. Schulze, Hayato Tada, Jennifer Wessel, Andrew R. Wood, Erwin P. Bottinger, Cora E. Lewis, Robin Young, Carol A. Wang, Oddgeir L. Holmen, Andrew J. Slater, Jean-Claude Tardif, Xu Lin, Inês Barroso, Gail Davies, Tibor V. Varga, Andrew J. Lotery, Igor Rudan, Andrew T. Hattersley, Michael Stumvoll, David Ellinghaus, Andrew C. Heath, Frank Kee, Christopher P. Nelson, Donald W. Bowden, Alison M. Dunning, Marianne Benn, Oluf Pedersen, Amber A. Burt, Aniruddh P. Patel, G. Kees Hovingh, David S. Crosslin, Gorm B. Jensen, Keng-Hung Lin, Dewan S. Alam, Jian'an Luan, Ying Wu, Tõnu Esko, Kathleen Mullan Harris, Antonietta Robino, Anne U. Jackson, Eirini Marouli, Robert A. Scott, Jette Bork-Jensen, Olov Rolandsson, Nanette R. Lee, Gerard Tromp, Megan L. Grove, Suthesh Sivapalaratnam, Sameer E. Al-Harthi, Roberta McKean-Cowdin, Paolo Gasparini, Ellen W. Demerath, Marco Brumat, Maggie C.Y. Ng, Børge G. Nordestgaard, Kari E. North, Rajiv Chowdhury, Mauno Vanhala, Andrew P. Morris, Sarah E. Medland, Sune F. Nielsen, Ilaria Gandin, Øyvind Helgeland, James P. Cook, Kent D. Taylor, Andrew D. Morris, Gudmar Thorleifsson, André G. Uitterlinden, Pang Yao, Valgerdur Steinthorsdottir, Eric B. Larson, Kerrin S. Small, Cecilia M. Lindgren, Dragana Vuckovic, Mariaelisa Graff, Fotios Drenos, Jaspal S. Kooner, Schurmann, Claudia [0000-0003-4158-9192], Justice, Anne E [0000-0002-8903-8712], Giri, Ayush [0000-0002-7786-4670], Locke, Adam E [0000-0001-6227-198X], Young, Kristin L [0000-0003-0070-6145], Medina-Gomez, Carolina [0000-0001-7999-5538], Winkler, Thomas W [0000-0003-0292-5421], Zeggini, Eleftheria [0000-0003-4238-659X], Zhao, Wei [0000-0002-8301-9297], Zondervan, Krina T [0000-0002-0275-9905], Pospisilik, John A [0000-0002-9745-0977], Rivadeneira, Fernando [0000-0001-9435-9441], Deloukas, Panos [0000-0001-9251-070X], Apollo - University of Cambridge Repository, Vascular Medicine, ACS - Amsterdam Cardiovascular Sciences, ACS - Atherosclerosis & ischemic syndromes, Internal Medicine, Epidemiology, Obstetrics & Gynecology, Radiology & Nuclear Medicine, CHD Exome+ Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, EPIC InterAct Consortium, INTERVAL Study, ReproGen Consortium, T2D-Genes Consortium, MAGIC Investigators, Understanding Society Scientific Group, Biological Psychology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, British Heart Foundation, Wellcome Trust, Medical Research Council (MRC), National Institute for Health Research, Home Office, National Institutes of Health, Imperial College Healthcare NHS Trust- BRC Funding, Turcot, Valérie, Lu, Yingchang, Highland, Heather M., Schurmann, Claudia, Justice, Anne E., Fine, Rebecca S., Bradfield, Jonathan P., Esko, Tõnu, Giri, Ayush, Graff, Mariaelisa, Guo, Xiuqing, Hendricks, Audrey E., Karaderi, Tugce, Lempradl, Adelheid, Locke, Adam E., Mahajan, Anubha, Marouli, Eirini, Sivapalaratnam, Suthesh, Young, Kristin L., Alfred, Tamuno, Feitosa, Mary F., Masca, Nicholas G. D., Manning, Alisa K., Medina-Gomez, Carolina, Mudgal, Poorva, Ng, Maggie C. Y., Reiner, Alex P., Vedantam, Sailaja, Willems, Sara M., Winkler, Thomas W., Abecasis, Gonçalo, Aben, Katja K., Alam, Dewan S., Alharthi, Sameer E., Allison, Matthew, Amouyel, Philippe, Asselbergs, Folkert W., Auer, Paul L., Balkau, Beverley, Bang, Lia E., Barroso, Inê, Bastarache, Lisa, Benn, Marianne, Bergmann, Sven, Bielak, Lawrence F., Blüher, Matthia, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A., Bork-Jensen, Jette, Bots, Michiel L., Bottinger, Erwin P., Bowden, Donald W., Brandslund, Ivan, Breen, Gerome, Brilliant, Murray H., Broer, Linda, Brumat, Marco, Burt, Amber A., Butterworth, Adam S., Campbell, Peter T., Cappellani, Stefania, Carey, David J., Catamo, Eulalia, Caulfield, Mark J., Chambers, John C., Chasman, Daniel I., Chen, Yii-Der I., Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y., Cocca, Massimiliano, Collins, Francis S., Cook, James P., Corley, Janie, Corominas Galbany, Jordi, Cox, Amanda J., Crosslin, David S., Cuellar-Partida, Gabriel, D'Eustacchio, Angela, Danesh, John, Davies, Gail, Bakker, Paul I. W., Groot, Mark C. H., Mutsert, Renée, Deary, Ian J., Dedoussis, George, Demerath, Ellen W., Heijer, Martin, Hollander, Anneke I., Ruijter, Hester M., Dennis, Joe G., Denny, Josh C., Angelantonio, Emanuele, Drenos, Fotio, Du, Mengmeng, Dubé, Marie-Pierre, Dunning, Alison M., Easton, Douglas F., Edwards, Todd L., Ellinghaus, David, Ellinor, Patrick T., Elliott, Paul, Evangelou, Evangelo, Farmaki, Aliki-Eleni, Farooqi, I. Sadaf, Faul, Jessica D., Fauser, Sascha, Feng, Shuang, Ferrannini, Ele, Ferrieres, Jean, Florez, Jose C., Ford, Ian, Fornage, Myriam, Franco, Oscar H., Franke, Andre, Franks, Paul W., Friedrich, Nele, Frikke-Schmidt, Ruth, Galesloot, Tessel E., Gan, Wei, Gandin, Ilaria, Gasparini, Paolo, Gibson, Jane, Giedraitis, Vilmanta, Gjesing, Anette P., Gordon-Larsen, Penny, Gorski, Mathia, Grabe, Hans-Jörgen, Grant, Struan F. A., Grarup, Niel, Griffiths, Helen L., Grove, Megan L., Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeff, Hakonarson, Hakon, Hammerschlag, Anke R., Hansen, Torben, Harris, Kathleen Mullan, Harris, Tamara B., Hattersley, Andrew T., Have, Christian T., Hayward, Caroline, He, Liang, Heard-Costa, Nancy L., Heath, Andrew C., Heid, Iris M., Helgeland, Øyvind, Hernesniemi, Jussi, Hewitt, Alex W., Holmen, Oddgeir L., Hovingh, G. Kee, Howson, Joanna M. M., Hu, Yao, Huang, Paul L., Huffman, Jennifer E., Ikram, M. Arfan, Ingelsson, Erik, Jackson, Anne U., Jansson, Jan-Håkan, Jarvik, Gail P., Jensen, Gorm B., Jia, Yucheng, Johansson, Stefan, Jørgensen, Marit E., Jørgensen, Torben, Jukema, J. Wouter, Kahali, Bratati, Kahn, René S., Kähönen, Mika, Kamstrup, Pia R., Kanoni, Stavroula, Kaprio, Jaakko, Karaleftheri, Maria, Kardia, Sharon L. R., Karpe, Fredrik, Kathiresan, Sekar, Kee, Frank, Kiemeney, Lambertus A., Kim, Eric, Kitajima, Hidetoshi, Komulainen, Pirjo, Kooner, Jaspal S., Kooperberg, Charle, Korhonen, Tellervo, Kovacs, Peter, Kuivaniemi, Helena, Kutalik, Zoltán, Kuulasmaa, Kari, Kuusisto, Johanna, Laakso, Markku, Lakka, Timo A., Lamparter, David, Lange, Ethan M., Lange, Leslie A., Langenberg, Claudia, Larson, Eric B., Lee, Nanette R., Lehtimäki, Terho, Lewis, Cora E., Li, Huaixing, Li, Jin, Li-Gao, Ruifang, Lin, Honghuang, Lin, Keng-Hung, Lin, Li-An, Lin, Xu, Lind, Lar, Lindström, Jaana, Linneberg, Allan, Liu, Ching-Ti, Liu, Dajiang J., Liu, Yongmei, Lo, Ken S., Lophatananon, Artitaya, Lotery, Andrew J., Loukola, Anu, Luan, Jian'An, Lubitz, Steven A., Lyytikäinen, Leo-Pekka, Männistö, Satu, Marenne, Gaëlle, Mazul, Angela L., Mccarthy, Mark I., McKean-Cowdin, Roberta, Medland, Sarah E., Meidtner, Karina, Milani, Lili, Mistry, Vanisha, Mitchell, Paul, Mohlke, Karen L., Moilanen, Leena, Moitry, Marie, Montgomery, Grant W., Mook-Kanamori, Dennis O., Moore, Carmel, Mori, Trevor A., Morris, Andrew D., Morris, Andrew P., Müller-Nurasyid, Martina, Munroe, Patricia B., Nalls, Mike A., Narisu, Narisu, Nelson, Christopher P., Neville, Matt, Nielsen, Sune F., Nikus, Kjell, Njølstad, Pål R., Nordestgaard, Børge G., Nyholt, Dale R., O'Connel, Jeffrey R., O'Donoghue, Michelle L., Olde Loohuis, Loes M., Ophoff, Roel A., Owen, Katharine R., Packard, Chris J., Padmanabhan, Sandosh, Palmer, Colin N. A., Palmer, Nicholette D., Pasterkamp, Gerard, Patel, Aniruddh P., Pattie, Alison, Pedersen, Oluf, Peissig, Peggy L., Peloso, Gina M., Pennell, Craig E., Perola, Marku, Perry, James A., Perry, John R. B., Pers, Tune H., Person, Thomas N., Peters, Annette, Petersen, Eva R. B., Peyser, Patricia A., Pirie, Ailith, Polasek, Ozren, Polderman, Tinca J., Puolijoki, Hannu, Raitakari, Olli T., Rasheed, Asif, Rauramaa, Rainer, Reilly, Dermot F., Renström, Frida, Rheinberger, Myriam, Ridker, Paul M., Rioux, John D., Rivas, Manuel A., Roberts, David J., Robertson, Neil R., Robino, Antonietta, Rolandsson, Olov, Rudan, Igor, Ruth, Katherine S., Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sapkota, Yadav, Sattar, Naveed, Schoen, Robert E., Schreiner, Pamela J., Schulze, Matthias B., Scott, Robert A., Segura-Lepe, Marcelo P., Shah, Svati H., Sheu, Wayne H. -H., Sim, Xueling, Slater, Andrew J., Small, Kerrin S., Smith, Albert V., Southam, Lorraine, Spector, Timothy D., Speliotes, Elizabeth K., Starr, John M., Stefansson, Kari, Steinthorsdottir, Valgerdur, Stirrups, Kathleen E., Strauch, Konstantin, Stringham, Heather M., Stumvoll, Michael, Sun, Liang, Surendran, Praveen, Swift, Amy J., Tada, Hayato, Tansey, Katherine E., Tardif, Jean-Claude, Taylor, Kent D., Teumer, Alexander, Thompson, Deborah J., Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thuesen, Betina H., Tönjes, Anke, Tromp, Gerard, Trompet, Stella, Tsafantakis, Emmanouil, Tuomilehto, Jaakko, Tybjaerg-Hansen, Anne, Tyrer, Jonathan P., Uher, Rudolf, Uitterlinden, André G., Uusitupa, Matti, Laan, Sander W., Duijn, Cornelia M., Leeuwen, Nienke, Van Setten, Jessica, Vanhala, Mauno, Varbo, Anette, Varga, Tibor V., Varma, Rohit, Velez Edwards, Digna R., Vermeulen, Sita H., Veronesi, Giovanni, Vestergaard, Henrik, Vitart, Veronique, Vogt, Thomas F., Völker, Uwe, Vuckovic, Dragana, Wagenknecht, Lynne E., Walker, Mark, Wallentin, Lar, Wang, Feijie, Wang, Carol A., Wang, Shuai, Wang, Yiqin, Ware, Erin B., Wareham, Nicholas J., Warren, Helen R., Waterworth, Dawn M., Wessel, Jennifer, White, Harvey D., Willer, Cristen J., Wilson, James G., Witte, Daniel R., Wood, Andrew R., Wu, Ying, Yaghootkar, Hanieh, Yao, Jie, Yao, Pang, Yerges-Armstrong, Laura M., Young, Robin, Zeggini, Eleftheria, Zhan, Xiaowei, Zhang, Weihua, Zhao, Jing Hua, Zhao, Wei, Zhou, Wei, Zondervan, Krina T, Rotter, Jerome I., Pospisilik, John A., Rivadeneira, Fernando, Borecki, Ingrid B., Deloukas, Pano, Frayling, Timothy M., Lettre, Guillaume, North, Kari E., Lindgren, Cecilia M., Hirschhorn, Joel N., Loos, Ruth J. F., Internal medicine, AGEM - Endocrinology, metabolism and nutrition, Amsterdam Movement Sciences - Rehabilitation & Development, Amsterdam Movement Sciences - Restoration and Development, APH - Aging & Later Life, Physiology, and VU University medical center
Subjects: 0301 basic medicine, Male, ReproGen Consortium, MathematicsofComputing_GENERAL, Genome-wide association study, medicine.disease_cause, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], Body Mass Index, genetics [Obesity], 0302 clinical medicine, Gene Frequency, Glucose homeostasis, Adult, Animals, Drosophila/genetics, Energy Intake/genetics, Energy Metabolism/genetics, Female, Genetic Variation, Humans, Obesity/genetics, Proteins/genetics, Syndrome, 11 Medical and Health Sciences, 2. Zero hunger, Genetics, Genetics & Heredity, Mutation, CHD Exome+ Consortium, body mass index, TheoryofComputation_GENERAL, T2D-Genes Consortium, GENOME-WIDE ASSOCIATION, MELANOCORTIN-4 RECEPTOR GENE, DONEPEZIL 23 MG, FRAMESHIFT MUTATION, GLUCOSE-HOMEOSTASIS, HYPOTHALAMIC AMPK, CODING VARIANTS, BLOOD-PRESSURE, RARE, LOCI, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Drosophila, ExomeBP Consortium, Life Sciences & Biomedicine, INTERVAL Study, Understanding Society Scientific Group, EPIC InterAct Consortium, genetics [Energy Metabolism], Biology, EPIC-CVD Consortium, Frameshift mutation, 03 medical and health sciences, MAGIC Investigators, All institutes and research themes of the Radboud University Medical Center, Genetic, SDG 3 - Good Health and Well-being, ddc:570, genetics [Drosophila], medicine, Journal Article, Global Lipids Genetic Consortium, Obesity, Gene, Allele frequency, Genetic association, Science & Technology, Proteins, 06 Biological Sciences, genetics [Proteins], Minor allele frequency, 030104 developmental biology, GoT2D Genes Consortium, Energy Intake, Energy Metabolism, genetics [Energy Intake], 030217 neurology & neurosurgery, Developmental Biology
Abstract: Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.
Published: 2018

194. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

Author: Patricia A. Peyser, Jessica D. Faul, Sing Hui Lim, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, Marzyeh Amini, Benjamin Lehne, W. James Gauderman, Wei Zhao, Andres Metspalu, R. Graham Barr, Albertine J. Oldehinkel, Xueling Sim, Norihiro Kato, Daniel I. Chasman, Jasmin Divers, Fernando Pires Hartwig, Jing Hua Zhao, Yu Caizheng, Roby Joehanes, Nora Franceschini, Nita G. Forouhi, Charumathi Sabanayagam, Paul M. Ridker, Yun J. Sung, Mary F. Feitosa, Barbara V. Howard, Vilmundur Gudnason, Jost B. Jonas, Hua Tang, Yukihide Momozawa, Michael R. Brown, Tibor V. Varga, Franco Giulianini, Francis S. Collins, Alexander P. Reiner, Ulrich Broeckel, Tuomo Rankinen, Preeti Gupta, Tin Louie, Eric Boerwinkle, Saskia P. Hagenaars, Mark J. Caulfield, Albert Hofman, Aravinda Chakravarti, Paul W. Franks, Nicole Schupf, E. Shyong Tai, Carl D. Langefeld, Carsten Oliver Schmidt, Lawrence F. Bielak, Treva Rice, Anne B. Newman, Ioanna Ntalla, Kae-Woei Liang, Nilesh J. Samani, Alena Stančáková, Thomas H. Mosley, Dan E. Arking, Kenneth Rice, Bruce M. Psaty, Jirong Long, Yechiel Friedlander, Jianjun Liu, Donna K. Arnett, Ya X. Wang, Xiuqing Guo, Anne E. Justice, Pamela J. Schreiner, Renée de Mutsert, Lisa de las Fuentes, Marcus Dörr, Amy R. Bentley, Susan Redline, Cornelia M. van Duijn, Melissa A. Richard, Sarah E. Harris, Pirjo Komulainen, Nicholette D. Palmer, Alexandre C. Pereira, Michele K. Evans, Jie Yao, Adesola Ogunniyi, Wen Bin Wei, Anuradhani Kasturiratne, Yoichiro Kamatani, Charles Kooperberg, Helen R. Warren, Shiow Lin, Ozren Polasek, Makoto Hirata, Anubha Mahajan, Yingchang Lu, Jonathan Marten, Claudia P. Cabrera, Chuan Gao, Oscar H. Franco, Yongmei Liu, Mathilde Boissel, Olli T. Raitakari, Xiao-Ou Shu, Yii-Der Ida Chen, Y Liu, Claudia Langenberg, C. Charles Gu, Cathy C. Laurie, Tamuno Alfred, L. Adrienne Cupples, Yajuan Wang, Colin A. McKenzie, Mika Kähönen, Yize Li, Xiaofeng Zhu, Nana Matoba, James Scott, Marguerite R. Irvin, Markku Laakso, Frida Renström, Woon-Puay Koh, Dabeeru C. Rao, Yucheng Jia, Paul Elliott, Tangchun Wu, Caroline Hayward, Tamara B. Harris, Alison D. Murray, Karin Leander, Reedik Mägi, Keng-Hung Lin, Harold Snieder, Laura J. Bierut, Christine Williams, Solomon K. Musani, Michael A. Province, Charles B. Eaton, Sharon L.R. Kardia, Mario Sims, Steven C. Hunt, Stephen B. Kritchevsky, Weihua Zhang, David R. Weir, Andrea R. V. R. Horimoto, Saima Afaq, Hugues Aschard, Ilaria Gandin, Michiaki Kubo, Jaspal S. Kooner, Peter S. Braund, Jeffrey R. O'Connell, Kent D. Taylor, Annette Peters, Wei Zheng, Rainer Rettig, Nicola D. Kerrison, Donald W. Bowden, Ruth J. F. Loos, Tanika N. Kelly, Dennis O. Mook-Kanamori, Terrence Forrester, Igor Rudan, Brigitte Kühnel, Christopher P. Nelson, Ching-Yu Cheng, Alanna C. Morrison, Tuomas O. Kilpeläinen, Jian-Min Yuan, Bruna Gigante, Lisa R. Yanek, Ching-Ti Liu, Ananda R. Wickremasinghe, Michael Boehnke, Tin Aung, Jin-Fang Chai, Kaare Christensen, Wen-Jane Lee, Stéphanie Debette, Jennifer A. Brody, Wayne Huey-Herng Sheu, John M. C. Connell, Ganesh Chauhan, Jian'an Luan, Melanie Waldenberger, Erin B. Ware, Paolo Gasparini, Chew-Kiat Heng, Lili Milani, Alisa K. Manning, José Eduardo Krieger, Kiang Liu, Mickaël Canouil, Robert A. Scott, Yik Ying Teo, Gregory P. Wilson, Stella Aslibekyan, Andrew P. Morris, Thomas Meitinger, Jennifer A. Smith, Yi-Jen Hung, Myriam Fornage, Dina Vojinovic, William R. Scott, Virginia Fisher, Peter S. Sever, André G. Uitterlinden, Najaf Amin, Lenore J. Launer, Hugh Watkins, Johanna Kuusisto, Rajkumar Dorajoo, Georg Ehret, Heming Wang, Sandosh Padmanabhan, Jingmin Liu, Colleen M. Sitlani, Anuj Goel, Bamidele O. Tayo, Daniel Levy, Barry I. Freedman, Marie Loh, Yanhua Zhou, Charles N. Rotimi, Qing Duan, Aldi T. Kraja, He Meian, Archie Campbell, Kari E. North, Tien Yin Wong, Salman M. Tajuddin, Traci M. Bartz, Mike A. Nalls, Misa Graff, Dongfeng Gu, Sudha Seshadri, Tõnu Esko, Antonietta Robino, Anne U. Jackson, H. Janaka de Silva, Peter J. van der Most, Fang-Chi Hsu, Chiea Chuen Khor, Changwei Li, Sami Heikkinen, Maris Alver, Karen Schwander, Wanqing Wen, Rainer Rauramaa, Lynne E. Wagenknecht, Ubaydah Nasri, Peter J. Munson, He Gao, Evangelos Evangelou, Philippe Froguel, Ervin R. Fox, Christian Gieger, Kurt Lohman, James S. Pankow, Nicholas J. Wareham, Lynda M. Rose, Massimiliano Cocca, Rob M. van Dam, John M. Starr, Martin Farrall, Stefan Weiss, Konstantin Strauch, Albert V. Smith, Jill M. Norris, Raymond Noordam, Cora E. Lewis, Claude Bouchard, Ulf de Faire, Walter Palmas, Diane M. Becker, Kevin Sandow, Tomohiro Katsuya, Jiang He, Nancy L. Pedersen, Bernardo L. Horta, Joel D. Kaufman, Terho Lehtimäki, Heikki A. Koistinen, Thomas W. Winkler, Ian J. Deary, Richard S. Cooper, Fumihiko Takeuchi, Jerome I. Rotter, Lihua Wang, Yih Chung Tham, Babatunde L. Salako, Mary K. Wojczynski, Pim van der Harst, Jennifer G. Robinson, Erwin P. Bottinger, Alan B. Zonderman, Patricia B. Munroe, Ehret, Georg Benedikt, Harvard School of Public Health, Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), The various Gene-Lifestyle Interaction projects, including this one, are largely supported by a grant from the U.S. National Heart, Lung, and Blood Institute (NHLBI), the National Institutes of Health, R01HL118305. A Career Development Award (K25HL121091), also from the NHLBI, enabled Y.J.S. to lead this project. Full set of study-specific funding sources and acknowledgments appear in the Supplemental Note., Sung, Yun J., Winkler, Thomas W., de las Fuentes, Lisa, Bentley, Amy R., Brown, Michael R., Kraja, Aldi T., Schwander, Karen, Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K., Li, Changwei, Feitosa, Mary F., Kilpeläinen, Tuomas O., Richard, Melissa A., Noordam, Raymond, Aslibekyan, Stella, Aschard, Hugue, Bartz, Traci M., Dorajoo, Rajkumar, Liu, Yongmei, Manning, Alisa K., Rankinen, Tuomo, Smith, Albert Vernon, Tajuddin, Salman M., Tayo, Bamidele O., Warren, Helen R., Zhao, Wei, Zhou, Yanhua, Matoba, Nana, Sofer, Tamar, Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Giulianini, Franco, Goel, Anuj, Harris, Sarah E., Hartwig, Fernando Pire, Horimoto, Andrea R. V. R., Hsu, Fang-Chi, Jackson, Anne U., Kähönen, Mika, Kasturiratne, Anuradhani, Kühnel, Brigitte, Leander, Karin, Lee, Wen-Jane, Lin, Keng-Hung, ’an Luan, Jian, Mckenzie, Colin A., Meian, He, Nelson, Christopher P., Rauramaa, Rainer, Schupf, Nicole, Scott, Robert A., Sheu, Wayne H. H., Stančáková, Alena, Takeuchi, Fumihiko, van der Most, Peter J., Varga, Tibor V., Wang, Heming, Wang, Yajuan, Ware, Erin B., Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R., Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Alfred, Tamuno, Amin, Najaf, Arking, Dan, Aung, Tin, Barr, R. Graham, Bielak, Lawrence F., Boerwinkle, Eric, Bottinger, Erwin P., Braund, Peter S., Brody, Jennifer A., Broeckel, Ulrich, Cabrera, Claudia P., Cade, Brian, Caizheng, Yu, Campbell, Archie, Canouil, Mickaël, Chakravarti, Aravinda, Chauhan, Ganesh, Christensen, Kaare, Cocca, Massimiliano, Collins, Francis S., Connell, John M., de Mutsert, Renée, de Silva, H. Janaka, Debette, Stephanie, Dörr, Marcu, Duan, Qing, Eaton, Charles B., Ehret, Georg, Evangelou, Evangelo, Faul, Jessica D., Fisher, Virginia A., Forouhi, Nita G., Franco, Oscar H., Friedlander, Yechiel, Gao, He, Gigante, Bruna, Graff, Misa, Gu, C. Charle, Gu, Dongfeng, Gupta, Preeti, Hagenaars, Saskia P., Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hofman, Albert, Howard, Barbara V., Hunt, Steven, Irvin, Marguerite R., Jia, Yucheng, Joehanes, Roby, Justice, Anne E., Katsuya, Tomohiro, Kaufman, Joel, Kerrison, Nicola D., Khor, Chiea Chuen, Koh, Woon-Puay, Koistinen, Heikki A., Komulainen, Pirjo, Kooperberg, Charle, Krieger, Jose E., Kubo, Michiaki, Kuusisto, Johanna, Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Lehne, Benjamin, Lewis, Cora E., Li, Yize, Lim, Sing Hui, Lin, Shiow, Liu, Ching-Ti, Liu, Jianjun, Liu, Jingmin, Liu, Kiang, Liu, Yeheng, Loh, Marie, Lohman, Kurt K., Long, Jirong, Louie, Tin, Mägi, Reedik, Mahajan, Anubha, Meitinger, Thoma, Metspalu, Andre, Milani, Lili, Momozawa, Yukihide, Morris, Andrew P., Mosley, Thomas H., Munson, Peter, Murray, Alison D., Nalls, Mike A., Nasri, Ubaydah, Norris, Jill M., North, Kari, Ogunniyi, Adesola, Padmanabhan, Sandosh, Palmas, Walter R., Palmer, Nicholette D., Pankow, James S., Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Raitakari, Olli T., Renström, Frida, Rice, Treva K., Ridker, Paul M., Robino, Antonietta, Robinson, Jennifer G., Rose, Lynda M., Rudan, Igor, Sabanayagam, Charumathi, Salako, Babatunde L., Sandow, Kevin, Schmidt, Carsten O., Schreiner, Pamela J., Scott, William R., Seshadri, Sudha, Sever, Peter, Sitlani, Colleen M., Smith, Jennifer A., Snieder, Harold, Starr, John M., Strauch, Konstantin, Tang, Hua, Taylor, Kent D., Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G., Waldenberger, Melanie, Wang, Lihua, Wang, Ya X., Wei, Wen Bin, Williams, Christine, Wilson, Gregory, Wojczynski, Mary K., Yao, Jie, Yuan, Jian-Min, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., Chambers, John C., Chen, Yii-Der Ida, de Faire, Ulf, Deary, Ian J., Esko, Tõnu, Farrall, Martin, Forrester, Terrence, Franks, Paul W., Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo Lessa, Hung, Yi-Jen, Jonas, Jost B., Kato, Norihiro, Kooner, Jaspal S., Laakso, Markku, Lehtimäki, Terho, Liang, Kae-Woei, Magnusson, Patrik K. E., Newman, Anne B., Oldehinkel, Albertine J., Pereira, Alexandre C., Redline, Susan, Rettig, Rainer, Samani, Nilesh J., Scott, Jame, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E., Wareham, Nicholas J., Watkins, Hugh, Weir, David R., Wickremasinghe, Ananda R., Wu, Tangchun, Zheng, Wei, Kamatani, Yoichiro, Laurie, Cathy C., Bouchard, Claude, Cooper, Richard S., Evans, Michele K., Gudnason, Vilmundur, Kardia, Sharon L. R., Kritchevsky, Stephen B., Levy, Daniel, O'Connell, Jeff R., Psaty, Bruce M., van Dam, Rob M., Sims, Mario, Arnett, Donna K., Mook-Kanamori, Dennis O., Kelly, Tanika N., Fox, Ervin R., Hayward, Caroline, Fornage, Myriam, Rotimi, Charles N., Province, Michael A., van Duijn, Cornelia M., Tai, E. Shyong, Wong, Tien Yin, Loos, Ruth J. F., Reiner, Alex P., Rotter, Jerome I., Zhu, Xiaofeng, Bierut, Laura J., Gauderman, W. Jame, Caulfield, Mark J., Elliott, Paul, Rice, Kenneth, Munroe, Patricia B., Morrison, Alanna C., Cupples, L. Adrienne, Rao, Dabeeru C., Chasman, Daniel I., Marten, Jonathan [0000-0001-6916-2014], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Epidemiology, Internal Medicine, Gastroenterology & Hepatology, Clinicum, Department of Medicine, Endokrinologian yksikkö, HUS Internal Medicine and Rehabilitation, and Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0301 basic medicine, Male, multi-ancestry, Smoking/genetics, Genome-wide association study, Continental Population Groups/genetics, INTIMA-MEDIA THICKNESS, Cohort Studies, Diastole, Polymorphism (computer science), GWAS, TRANSTORNOS RELACIONADOS AO USO DE ÁLCOOL, GENE-ENVIRONMENT INTERACTION, Genetics (clinical), ddc:616, INSULIN-RESISTANCE, Multi-ancestry, Smoking, 1184 Genetics, developmental biology, physiology, blood pressure, GxE interaction, Diastole/genetics, 3. Good health, FALSE DISCOVERY RATE, Blood pressure, Medical genetics, CORONARY-ARTERY-DISEASE, Female, Single Nucleotide/genetics, Systole/genetics, BODY-MASS INDEX, ASSOCIATION ANALYSIS, COMMON VARIANTS, METAANALYSIS, DISEASE, OBESITY, JOINT, medicine.medical_specialty, lifestyle, SUSCEPTIBILITY LOCI, Blood Pressure/genetics, Systole, Quantitative Trait Loci, Single-nucleotide polymorphism, Accounting, Biology, Quantitative trait locus, Polymorphism, Single Nucleotide, GxE interactions, Article, smoking, 03 medical and health sciences, Genetic, medicine, Genetics, Journal Article, Humans, Polymorphism, Genetic association, ALCOHOL DEPENDENCE, business.industry, Racial Groups, Reproducibility of Results, Epistasis, Genetic, ta3121, Lifestyle, Genetic architecture, NICOTINE DEPENDENCE, 030104 developmental biology, Genetic Loci, Epistasis, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 3111 Biomedicine, business, Quantitative Trait Loci/genetics, Genome-Wide Association Study
Abstract: The authors declare no competing financial interests except for the following. B.M.P. serves on the DSMB of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson; O.H.F. received grants from Metagenics (on women’s health and epigenetics) and from Nestle (on child health); L.J.B. is listed as an inventor on Issued U.S. Patent 8,080,371,“Markers for Addiction” covering the use of certain SNPs in determining the diagnosis, prognosis, and treatment of addiction; P.S. has received research awards from Pfizer Inc., is a consultant for Mundipharma Co. (Cambridge, UK), is a patent holder with Biocompatibles UK Ltd. (Franham, Surrey, UK) (Title: Treatment of eye diseases using encapsulated cells encoding and secreting neuroprotective factor and/or anti-angiogenic factor; Patent number: 20120263794), and has a patent application with University of Heidelberg (Heidelberg, Germany) (Title: Agents for use in the therapeutic or prophylactic treatment of myopia or hyperopia; Europäische Patentanmeldung 15 000 771.4); P.W.F. has been a paid consultant for Eli Lilly and Sanofi Aventis and has received research support from several pharmaceutical companies as part of a European Union Innovative Medicines Initiative (IMI) project; M.A.N.’s participation is supported by a consulting contract between Data Tecnica Internation and the National Institute on Aging (NIH, Bethesda, MD, USA), and he also consults for Illumina, Inc., the Michael J. Fox Foundation, and University of California Healthcare among others; and M.J.C. is Chief Scientist for Genomics England, a UK government company.; International audience; Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined approximately 18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 x 10(-8)) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 x 10(-8)). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).
Published: 2018

195. Multi-ethnic genome-wide association study for atrial fibrillation

Author: Marcus E. Kleber, Raji P. Grewal, Yingchang Lu, Sanghamitra Mohanty, Harry J.G.M. Crijns, Han Sun, Ilkka Seppälä, Jonathan D. Smith, Albert Hofman, Yii-Der Ida Chen, Diane Fatkin, Patrik K. E. Magnusson, Pil Sung Yang, Jari Laurikka, Saman Nazarian, Peter W. Macfarlane, Natalia S. Rost, Sekar Kathiresan, Heribert Schunkert, Sandosh Padmanabhan, Tõnu Esko, Bruno H. Stricker, Rebecca Gutmann, Alfredo José Mansur, Jonathan Rosand, Jesper Hastrup Svendsen, Alvaro Alonso, J. Gustav Smith, Benjamin Neumann, John Barnard, Christopher D. Anderson, Joanna Pera, Samir Saba, Lynne J. Hocking, Siew-Kee Low, Daniel I. Chasman, Patrick T. Ellinor, Nancy L. Pedersen, Stephan B. Felix, Vilmundur Gudnason, Kjell Nikus, Kahraman Tanriverdi, David J. Porteous, Samuel C. Dudley, Clive R. Pullinger, Tamara B. Harris, Barry London, Lorenz Risch, Ruth J. F. Loos, Rainer Malik, Isabelle C. Van Gelder, John F. Carlquist, Lena Refsgaard, Carolina Roselli, Albert Y. Sun, Man Li, Lenore J. Launer, Anders Hamsten, Svati H. Shah, Lin Y. Chen, Martina Müller-Nurasyid, Michiel Rienstra, Kent D. Taylor, Katharina Schramm, Jennifer A. Brody, Honghuang Lin, Eric Boerwinkle, Rozenn N. Lemaitre, Olle Melander, Hugh Calkins, Elsayed Z. Soliman, Moritz F. Sinner, Heather L. Bloom, Nicholas L. Smith, Nada Esa, John W. Cole, Maartje N. Niemeijer, David R. Van Wagoner, Anubha Mahajan, Roopinder K. Sandhu, Henry J. Lin, Jordi Jimenez-Conde, Ian Ford, Eue Keun Choi, Stacey Knight, Scott M. Damrauer, Markku Eskola, Claudia Schurman, Stuart A. Scott, Sara L. Pulit, Raymond Noordam, Mika Kähönen, Jay A. Montgomery, Agnieszka Slowik, Esra Gucuk Ipek, Joylene E. Siland, Lingyao Zeng, Andrew P. Morris, Oscar H. Franco, Bas L.J.H. Kietselaer, Adnan Kastrati, Dan E. Arking, José Eduardo Krieger, J. Wouter Jukema, Stefan Gustafsson, Nathan R. Tucker, Zachary T. Yoneda, Daniel Woo, Winfried März, Lauren Margolin, Uwe Völker, Stefan Kääb, Marju Orho-Melander, Lars Lind, Yoichiro Kamatani, Maris Teder-Laving, Paul M. Ridker, Bradford B. Worrall, Jaemin Shim, Bob Weijs, Ingrid E. Christophersen, Kenneth B. Margulies, James P. Cook, Graciela Delgado, Andrea Natale, Stefan Weiss, Gustav Ahlberg, Jie Huang, Guillaume Paré, M. Benjamin Shoemaker, Marcus Dörr, Arnljot Tveit, Elton A. M. P. Dudink, Thomas P. Cappola, Bruce M. Psaty, Alaa Shalaby, Gregory M. Marcus, Sébastien Thériault, Niek Verweij, Traci M. Bartz, Thorsten Kessler, Michael Morley, Xiuqing Guo, Alexandre C. Pereira, Efthymia Vlachopoulou, Albert V. Smith, Andrea R. V. R. Horimoto, David Conen, Erik Ingelsson, Jie Yao, Raul Weiss, David D. McManus, Michiaki Kubo, Lu-Chen Weng, Michael A. Rosenberg, Nona Sotoodehnia, Jennifer E. Huffman, Hui Nam Pak, Dan M. Roden, Peter Weeke, Joshua C. Bis, Archie Campbell, Marta Ribasés, Renee Johnson, Renate B. Schnabel, Christian M. Shaffer, Krishna G. Aragam, Seung Hoan Choi, André G. Uitterlinden, Morten S. Olesen, Toshihiro Tanaka, Daniel J. Rader, Mina K. Chung, Stella Trompet, Steven A. Lubitz, Martin Dichgans, Peter Almgren, Christine M. Albert, Blair H. Smith, Petra Katschnig-Winter, Joshua C. Denny, Christopher Newton-Cheh, Paulus Kirchhof, Namrata Gupta, Emelia J. Benjamin, Stefanie Aeschbacher, Marja-Liisa Lokki, Jorge A. Wong, Quinn S. Wells, Jussi Hernesniemi, Cecilia M. Lindgren, Mark Chaffin, Kaoru Ito, Jerome I. Rotter, Michael J. Cutler, Kerri L. Wiggins, Maryam Kavousi, Nathan A. Bihlmeyer, Bastiaan Geelhoed, Susan R. Heckbert, Caroline Hayward, Alexander Teumer, Paul L. Huang, Terho Lehtimäki, Juha Sinisalo, John P. Kane, Kirsten Leineweber, Tanja Zeller, Hong Euy Lim, Kathryn L. Lunetta, Brian R. Daniels, Heidi Oellers, Biqi Wang, Pim van der Harst, Peter M. Nilsson, Dawood Darbar, Erwin B. Bottinger, Leo-Pekka Lyytikäinen, Epidemiology, Internal Medicine, RS: Carim - H01 Clinical atrial fibrillation, Cardiologie, MUMC+: MA Cardiologie (3), RS: CARIM - R2.01 - Clinical atrial fibrillation, RS: CARIM - R3.11 - Imaging, MUMC+: MA Med Staf Spec Cardiologie (9), MUMC+: MA Med Staf Artsass Cardiologie (9), Cardiovascular Centre (CVC), and MUMC+: MA Cardiologie (9)
Subjects: 0301 basic medicine, medicine.medical_specialty, Identification, Annotation, Quantitative Trait Loci, Genome-wide association study, 030204 cardiovascular system & hematology, Quantitative trait locus, Biology, methods [Genome-Wide Association Study], Gene, genetics [Ethnic Groups], Article, DISEASE, 03 medical and health sciences, COMPONENTS-ANALYSIS, 0302 clinical medicine, ddc:570, Atrial Fibrillation, Cardiac conduction, Ethnicity, Genetics, medicine, Humans, Genetic Predisposition to Disease, genetics [Atrial Fibrillation], Genetic association, Imputation, ethnology [Atrial Fibrillation], Loci, Case-control study, Variants, METANÁLISE, Polymorphic ventricular-tachycardia, 030104 developmental biology, GWAS CATALOG, Susceptibility, Case-Control Studies, Expression quantitative trait loci, genetics [Ethnicity], Medical genetics, Transcriptome, Imputation (genetics), Mutations, Genome-Wide Association Study
Abstract: Atrial fibrillation (AF) affects more than 33 million individuals worldwide 1 and has a complex heritability 2 . We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF.
Published: 2018

196. ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals

Author: Niek Verweij, Stephan B. Felix, Ching-Ti Liu, Hao Mei, Martin D. Tobin, Allan Linneberg, Fernando Rivadeneira, Michiel L. Bots, Leo-Pekka Lyytikäinen, Olli T. Raitakari, Thomas Meitinger, Farid Radmanesh, Jeffrey Haessler, Folkert W. Asselbergs, J. Wouter Jukema, Massimo Mangino, Igor Rudan, Christopher P. Nelson, Vilmundur Gudnason, Xiuqing Guo, Yii-Der Ida Chen, Bruce M. Psaty, Marten E. van den Berg, Caroline Hayward, Tim D. Spector, Albert V. Smith, Marco V Perez, Uwe Völker, Nona Sotoodehnia, Tamara B. Harrris, Aaron Isaacs, Pim van der Harst, Nina Mononen, Nilesh J. Samani, Siegfried Perz, Dan E. Arking, Niels Grarup, Arie C. Maan, Steven A. Lubitz, Torben Hansen, Honghuang Lin, Kent D. Taylor, Yalda Jamshidi, Cornelia M. van Duijn, Jennifer E. Huffman, Marcus Dörr, Alison D. Murray, Jan A. Kors, Martina Müller-Nurasyid, Susan R. Heckbert, Jonathan Rosand, Oluf Pedersen, Anna E Dominiczak, Melanie Waldenberger, Paul L. Huang, Jie Yao, Renée de Mutsert, Henry Völzke, Terho Lehtimäki, Elsayed Z. Soliman, Mika Kähönen, Henry J. Lin, Zhijun Xie, Ozren Polašek, Joshua C. Bis, Archie Campbell, Ivana Kolcic, Stella Trompet, André G. Uitterlinden, Bruno H. Stricker, Jette Bork-Jensen, Mark Eijgelsheim, Georg Homuth, Jennifer A. Brody, Patricia B. Munroe, Peter van der Meer, Patrick T. Ellinor, Jørgen K. Kanters, Lenore J. Launer, Dennis O. Mook-Kanamori, Stefan Weiss, Stefan Kääb, Jessica van Setten, Christopher Newton-Cheh, Annette Peters, James G. Wilson, Sandosh Padmanabhan, Jerome I. Rotter, Rudolf A. de Boer, Bram P. Prins, Nathan A. Bihlmeyer, Alvaro Alonso, Leanne M. Hall, J. Marten, Helen R. Warren, Man Li, Thomas R. Austin, Charles Kooperberg, Moritz F. Sinner, Ruifang Li-Gao, Medical Biochemistry, ACS - Atherosclerosis & ischemic syndromes, ACS - Diabetes & metabolism, AGEM - Endocrinology, metabolism and nutrition, AGEM - Inborn errors of metabolism, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Gastroenterology and Hepatology, Other Research, Experimental Immunology, Graduate School, Radiotherapy, Cardiology, Epidemiology, Medical Informatics, Erasmus MC other, Internal Medicine, Cardiovascular Centre (CVC), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Biochemie, RS: CARIM - R1.01 - Blood proteins & engineering, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, and RS: FHML MaCSBio
Subjects: 0301 basic medicine, Genome-wide association study, 030204 cardiovascular system & hematology, Cardiovascular, Corrections, Antiporters, Sudden cardiac death, Electrocardiography, 0302 clinical medicine, DESIGN, Receptors, N-RAP, 2.1 Biological and endogenous factors, EPIDEMIOLOGY, Exome, genetics, ta318, Aetiology, humans, Oligonucleotide Array Sequence Analysis, GENERAL-POPULATION, medicine.diagnostic_test, Arrhythmias, Cardiac, Death, Sudden, Cardiac, Genetics, Genome, Humans, COMMON VARIANTS, General Medicine, Single Nucleotide, 3. Good health, ddc, DNA-Binding Proteins, Long QT Syndrome, Heart Disease, Cardiology, Calcium-Sensing, HEALTH, medicine.symptom, arrhythmias, medicine.medical_specialty, arrhythmias, cardiac, death, sudden, cardiac, genome, cardiac, Long QT syndrome, Quantitative Trait Loci, Quantitative trait locus, Polymorphism, Single Nucleotide, QT interval, Sudden death, Article, 03 medical and health sciences, Internal medicine, death, medicine, Journal Article, Polymorphism, sudden, HYPERTENSION, business.industry, Prevention, ta1184, Sudden cardiac arrest, ta3121, medicine.disease, 030104 developmental biology, COHORT PROFILE, business, Receptors, Calcium-Sensing, SUDDEN CARDIAC DEATH, Transcription Factors, Genome-Wide Association Study
Abstract: Background QT interval, measured through a standard ECG, captures the time it takes for the cardiac ventricles to depolarize and repolarize. JT interval is the component of the QT interval that reflects ventricular repolarization alone. Prolonged QT interval has been linked to higher risk of sudden cardiac arrest. Methods and Results We performed an ExomeChip-wide analysis for both QT and JT intervals, including 209 449 variants, both common and rare, in 17 341 genes from the Illumina Infinium HumanExome BeadChip. We identified 10 loci that modulate QT and JT interval duration that have not been previously reported in the literature using single-variant statistical models in a meta-analysis of 95 626 individuals from 23 cohorts (comprised 83 884 European ancestry individuals, 9610 blacks, 1382 Hispanics, and 750 Asians). This brings the total number of ventricular repolarization associated loci to 45. In addition, our approach of using coding variants has highlighted the role of 17 specific genes for involvement in ventricular repolarization, 7 of which are in novel loci. Conclusions Our analyses show a role for myocyte internal structure and interconnections in modulating QT interval duration, adding to previous known roles of potassium, sodium, and calcium ion regulation, as well as autonomic control. We anticipate that these discoveries will open new paths to the goal of making novel remedies for the prevention of lethal ventricular arrhythmias and sudden cardiac arrest.
Published: 2018

197. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

Author: Rico Rueedi, Yuri Milaneschi, Brenda W.J.H. Penninx, Neil Poulter, Karen Schwander, Marco Brumat, Kenneth Rice, Yize Li, Veronique Vitart, Ioanna Ntalla, Michele K. Evans, Jeffrey R. O'Connell, Nilesh J. Samani, Colleen M. Sitlani, W. James Gauderman, Xuan Deng, Paul M. Ridker, Yun J. Sung, Yukihide Momozawa, Archie Campbell, Tin Louie, Nona Sotoodehnia, Yii-Der Ida Chen, Cornelia M. van Duijn, Tanika N. Kelly, Peter S. Sever, André G. Uitterlinden, Brigitte Kühnel, John M. Starr, Lawrence F. Bielak, Christopher P. Nelson, Wanqing Wen, Stephan B. Felix, Stefan Weiss, Daniel Levy, Nicholette D. Palmer, Alisa K. Manning, Salman M. Tajuddin, Jill M. Norris, Marie Loh, M. Abdullah Said, Alena Stančáková, Anuradhani Kasturiratne, John M. C. Connell, Jian'an Luan, Tuomas O. Kilpeläinen, Amy R. Bentley, Stephen Sidney, Alan B. Zonderman, Karin Leander, David J. Porteous, Jianjun Liu, Tin Aung, Charles B. Eaton, Sharon L.R. Kardia, Rajkumar Dorajoo, Stephen Turner, Michael Boehnke, Diane M. Becker, Cora E. Lewis, Ozren Polasek, Mickaël Canouil, Kurt Lohman, Georg Ehret, Sarah E. Harris, Robert A. Scott, Claude Bouchard, Lynne E. Wagenknecht, Mohsen Ghanbari, Stephen B. Kritchevsky, Jin-Fang Chai, Gregory L. Burke, Jiang He, Federica Laguzzi, Michael R. Brown, Walter Palmas, Lili Milani, Thomas T. Perls, Tibor V. Varga, José Eduardo Krieger, Erin B. Ware, Tamara B. Harris, Tomohiro Katsuya, Nicole Schupf, Mika Kähönen, Nana Matoba, Hugues Aschard, Ilaria Gandin, Jennifer A. Smith, Traci M. Bartz, James Scott, Tuomo Rankinen, Yuan Shi, Meian He, Timo A. Lakka, Helen R. Warren, Mike A. Nalls, Kent D. Taylor, Woon-Puay Koh, Ya Xing Wang, Muhammad Riaz, Sandosh Padmanabhan, Mary F. Feitosa, Jost B. Jonas, Paul Elliott, Christian Gieger, Terho Lehtimäki, Kaare Christensen, Maris Alver, Pirjo Komulainen, Pamela J. Schreiner, M. Arfan Ikram, David R. Weir, Charles Kooperberg, Oscar H. Franco, Yongmei Liu, Lisa de las Fuentes, Nancy L. Pedersen, Thomas W. Winkler, Bruna Gigante, Göran Hallmans, Ingrid B. Borecki, Shiow Lin, Ian J. Deary, Wei Zheng, Yajuan Wang, Bernardo L. Horta, Heather M. Stringham, Bruce M. Psaty, Paul W. Franks, Weihua Zhang, Nora Franceschini, Adolfo Correa, Nita G. Forouhi, Xiuqing Guo, Fumihiko Takeuchi, L. Adrienne Cupples, William R. Scott, Zoltán Kutalik, He Gao, Nicholas J. Wareham, E. Shyong Tai, Aravinda Chakravarti, C. Charles Gu, Paolo Gasparini, Albertine J. Oldehinkel, Xueling Sim, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Colin A. McKenzie, Qing Duan, Aldi T. Kraja, Carsten Oliver Schmidt, Bamidele O. Tayo, Xiaofeng Zhu, Thomas Meitinger, Mary K. Wojczynski, Markku Laakso, Mark J. Caulfield, Carl D. Langefeld, Jingzhong Ding, Yechiel Friedlander, Tien Yin Wong, Virginia Fisher, Raymond Noordam, Caizheng Yu, Pim van der Harst, Yik Ying Teo, Ervin R. Fox, Sabanayagam Charumathi, Jonathan Marten, Nicholas Y.Q. Tan, Jerome I. Rotter, Harold Snieder, Karen L. Mohlke, Christine Williams, Olli T. Raitakari, Renée de Mutsert, Lihua Wang, Kathryn Roll, Jingmin Liu, Dongfeng Gu, Wei Zhao, Lynda M. Rose, Michael A. Province, Fernando Pires Hartwig, Rob M. van Dam, Barry I. Freedman, Andres Metspalu, Donald W. Bowden, Andrea R. V. R. Horimoto, Martin Farrall, Frits R. Rosendaal, Rainer Rauramaa, Konstantin Strauch, Albert V. Smith, Yanick Hagemeijer, Michiaki Kubo, Ilja M. Nolte, Tõnu Esko, Yih Chung Tham, Cathy C. Laurie, Antonietta Robino, Anne U. Jackson, Chuan Gao, Dabeeru C. Rao, Xiao-Ou Shu, H. Janaka de Silva, Morris J. Brown, Alanna C. Morrison, Peter J. van der Most, Jian-Min Yuan, Melanie Waldenberger, Leslie J. Raffel, Ulrich John, Fang-Chi Hsu, Reedik Mägi, Solomon K. Musani, Chiea Chuen Khor, Mario Sims, Ruben N. Eppinga, Melissa A. Richard, Yoichiro Kamatani, Changwei Li, Qiuyin Cai, Daniel I. Chasman, Mathilde Boissel, Claudia Langenberg, Sami Heikkinen, Jasmin Divers, Saima Afaq, Wen Bin Wei, Jaspal S. Kooner, Terrence Forrester, Hua Tang, Charles N. Rotimi, Anuj Goel, Annette Peters, Tangchun Wu, Dennis O. Mook-Kanamori, Caroline Hayward, Ching-Yu Cheng, Lisa R. Yanek, Ananda R. Wickremasinghe, Chew-Kiat Heng, Myriam Fornage, Dina Vojinovic, Najaf Amin, Lenore J. Launer, Hugh Watkins, Johanna Kuusisto, Jing Hua Zhao, Barbara V. Howard, Vilmundur Gudnason, Ulrich Broeckel, Eric Boerwinkle, Saskia P. Hagenaars, Dan E. Arking, Peter Vollenweider, Alexandre C. Pereira, Jie Yao, Makoto Hirata, Patricia B. Munroe, Patricia A. Peyser, Jessica D. Faul, Xu Chen, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, Marzyeh Amini, Benjamin Lehne, Epidemiology, Erasmus MC other, Neurology, Radiology & Nuclear Medicine, Internal Medicine, Læknadeild (HÍ), Faculty of Medicine (UI), School of Health Sciences (UI), Heilbrigðisvísindasvið (HÍ), Háskóli Íslands (HÍ), University of Iceland (UI), Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), University of Regensburg, Queen Mary University of London (QMUL), Harbor UCLA Medical Center [Torrance, Ca.], Department of Epidemiology, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Northwestern Polytechnical University [Xi'an] (NPU), Centre for Molecular Epidemiology, National University of Singapore (NUS), Harvard School of Public Health, Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), European Genomic Institute for Diabetes - FR 3508 (EGID), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), National Institutes of Health [Bethesda] (NIH), The following authors declare commercial private and/or governmental affiliations: Bruce M. Psaty (BMP) serves on the DSMB of a clinical trial funded by Zoll Lifecor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Barbara V. Howard (BVH) has a contract from National Heart, Lung, and Blood Institute (NHLBI). Brenda W.J.H. Penninx (BWJHP) has received research funding (non-related to the work reported here) from Jansen Research and Boehringer Ingelheim. Mike A. Nalls (MAN) is supported by a consulting contract between Data Tecnica International LLC and the National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, MD, USA. MAN also consults for Illumina Inc., the Michael J. Fox Foundation, and the University of California Healthcare. MAN also has commercial affiliation with Data Tecnica International, Glen Echo, MD, USA. Mark J. Caulfield (MJC) has commercial affiliation and is Chief Scientist for Genomics England, a UK government company. Oscar H Franco (OHF) is supported by grants from Metagenics (on women's health and epigenetics) and from Nestlé (on child health). Peter S. Sever (PSS) is financial supported from several pharmaceutical companies which manufacture either blood pressure lowering or lipid lowering agents, or both, and consultancy fees. Paul W. Franks (PWF) has been a paid consultant in the design of a personalized nutrition trial (PREDICT) as part of a private-public partnership at Kings College London, UK, and has received research support from several pharmaceutical companies as part of European Union Innovative Medicines Initiative (IMI) projects. Fimlab LTD provided support in the form of salaries for author Terho Lehtimäki (TL) but did not have any additional role in the study design to publish, or preparation of the manuscript. Gen‐info Ltd provided support in the form of salaries for author Ozren Polašek (OP) but did not have any additional role in the study design to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. There are no patents, products in development, or marked products to declare. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript., AGES (Age Gene/Environment Susceptibility Reykjavik Study) is approved by the Icelandic National Bioethics Committee, VSN: 00–063. The researchers are indebted to the participants for their willingness to participate in the study. ARIC (Atherosclerosis Risk in Communities): The authors thank the staff and participants of the ARIC study for their important contributions. CARDIA (Coronary Artery Risk Development in Young Adults): This manuscript has been reviewed and approved by CARDIA for scientific content. CHS (Cardiovascular Health Study): A full list of principal CHS investigators and institutions can be found at CHS-NHLBI.org. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. IGMM (Institute of Genetics and Molecular Medicine): CROATIA-Korcula: We would like to acknowledge the staff of several institutions in Croatia that supported the field work, including but not limited to The University of Split and Zagreb Medical Schools and the Croatian Institute for Public Health. We would like to acknowledge the invaluable contributions of the recruitment team in Korcula, the administrative teams in Croatia and Edinburgh and the participants. The SNP genotyping for the CROATIA-Korcula cohort was performed in Helmholtz Zentrum München, Neuherberg, Germany. CROATIA-Vis: We would like to acknowledge the staff of several institutions in Croatia that supported the field work, including but not limited to The University of Split and Zagreb Medical Schools, the Institute for Anthropological Research in Zagreb and Croatian Institute for Public Health. The SNP genotyping for the CROATIA-Vis cohort was performed in the core genotyping laboratory of the Wellcome Trust Clinical Research Facility at the Western General Hospital, Edinburgh, Scotland. GS:SFHS: Generation Scotland received core support from the Chief Scientist Office of the Scottish Government Health Directorates [CZD/16/6] and the Scottish Funding Council [HR03006]. Genotyping of the GS:SFHS samples was carried out by the Genetics Core Laboratory at the Wellcome Trust Clinical Research Facility, Edinburgh, Scotland. ERF (Erasmus Rucphen Family study): We are grateful to all study participants and their relatives, general practitioners and neurologists for their contributions and to P. Veraart for her help in genealogy, J. Vergeer for the supervision of the laboratory work, P. Snijders for his help in data collection and E.M. van Leeuwen for genetic imputation. GENOA (Genetic Epidemiology Network of Arteriopathy): Genotyping was performed at the Mayo Clinic (Stephen T. Turner, MD, Mariza de Andrade PhD, Julie Cunningham, PhD). We thank Eric Boerwinkle, PhD and Megan L. Grove from the Human Genetics Center and Institute of Molecular Medicine and Division of Epidemiology, University of Texas Health Science Center, Houston, Texas, USA for their help with genotyping. We would also like to thank the families that participated in the GENOA study. HANDLS (Healthy Aging in Neighborhoods of Diversity across the Life Span): Data analyses for the HANDLS study utilized the high-performance computational resources of the Biowulf Linux cluster at the National Institutes of Health, Bethesda, MD. http://hpc.nih.gov HUFS (Howard University Family Study): We thank the participants of the study. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official view of the National Institutes of Health. HyperGEN (Hypertension Genetic Epidemiology Network): The study involves: University of Utah: (Network Coordinating Center, Field Center, and Molecular Genetics Lab), Univ. of Alabama at Birmingham: (Field Center and Echo Coordinating and Analysis Center), Medical College of Wisconsin: (Echo Genotyping Lab), Boston University: (Field Center), University of Minnesota: (Field Center and Biochemistry Lab), University of North Carolina: (Field Center), Washington University: (Data Coordinating Center), Weil Cornell Medical College: (Echo Reading Center), National Heart, Lung, & Blood Institute. For a complete list of HyperGEN Investigators: http://www.biostat.wustl.edu/hypergen/Acknowledge.html JHS (Jackson Heart Study): The authors wish to thank the staffs and participants of the JHS. MESA (Multi-Ethnic Study of Atherosclerosis): MESA and the MESA SHARe project are conducted in collaboration with MESA investigators. Genotyping was performed at Affymetrix (Santa Clara, California, USA) and the Broad Institute of Harvard and MIT (Boston, Massachusetts, USA) using the Affymetrix Genome-Wide Human SNP Array 6.0. NEO (The Netherlands Epidemiology of Obesity study): The authors of the NEO study thank all individuals who participated in the Netherlands Epidemiology in Obesity study, all participating general practitioners for inviting eligible participants and all research nurses for collection of the data. We thank the NEO study group, Petra Noordijk, Pat van Beelen and Ingeborg de Jonge for the coordination, lab and data management of the NEO study. RS (Rotterdam Study) was funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. The authors are grateful to the study participants, the staff from the Rotterdam Study and the participating general practitioners and pharmacists. The generation and management of GWAS genotype data for the Rotterdam Study was executed by the Human Genotyping Facility of the Genetic Laboratory of the Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands. We thank Pascal Arp, Mila Jhamai, Marijn Verkerk, Lizbeth Herrera, Marjolein Peters and Carolina Medina-Gomez for their help in creating the GWAS database, and Karol Estrada, Yurii Aulchenko and Carolina Medina-Gomez for the creation and analysis of imputed data. WHI (Women’s Health Initiative): The authors thank the WHI investigators and staff for their dedication, and the study participants for making the program possible. A full listing of WHI investigators can be found at: http://www.whi.org/researchers/Documents%20%20Write%20a%20Paper/WHI%20Investigator%20Short%20List.pdf Replication: AA-DHS (African American Diabetes Heart Study): The investigators acknowledge the cooperation of our Diabetes Heart Study (DHS) and AA-DHS participants. ASCOT (Anglo-Scandinavian Cardiac Outcomes Trial): We thank all ASCOT trial participants, physicians, nurses, and practices in the participating countries for their important contribution to the study. In particular, we thank Clare Muckian and David Toomey for their help in DNA extraction, storage, and handling. We would also like to acknowledge the Barts and The London Genome Centre staff for genotyping the Exome chip array. P.B.M, M.J.C and H.R.W wish to acknowledge the support of the NIHR Cardiovascular Biomedical Research Centre at Barts and Queen Mary University of London, UK. BBJ (Biobank Japan Project): We thank all the participants, medical coordinators of the cooperating hospitals for collecting samples and clinical information in the project. BRIGHT (British Genetics of Hypertension): The BRIGHT study is extremely grateful to all the patients who participated in the study and the BRIGHT nursing team. P.B.M, M.J.C and H.R.W wish to acknowledge the support of the NIHR Cardiovascular Biomedical Research Centre at Barts and Queen Mary University of London, UK. CoLaus (Cohorte Lausannoise Study): The authors would like to thank all the people who participated in the recruitment of the participants, data collection and validation, particularly Nicole Bonvin, Yolande Barreau, Mathieu Firmann, François Bastardot, Julien Vaucher, Panagiotis Antiochos and Cédric Gubelmann. DESIR (Data from an Epidemiological Study on the Insulin Resistance): The DESIR Study Group is composed of Inserm-U1018 (Paris: B. Balkau, P. Ducimetière, E. Eschwège), Inserm-U367 (Paris: F. Alhenc-Gelas), CHU d’Angers (A. Girault), Bichat Hospital (Paris: F. Fumeron, M. Marre, R. Roussel), CHU de Rennes (F. Bonnet), CNRS UMR-8199 (Lille: A. Bonnefond, P. Froguel), Medical Examination Services (Alençon, Angers, Blois, Caen, Chartres, Chateauroux, Cholet, LeMans, Orléans and Tours), Research Institute for General Medicine (J. Cogneau), the general practitioners of the region and the Cross- Regional Institute for Health (C. Born, E. Caces, M. Cailleau, N. Copin, J.G. Moreau, F. Rakotozafy, J. Tichet, S. Vol). DHS (Diabetes Heart Study): The authors thank the investigators, staff, and participants of the DHS for their valuable contributions. EGCUT Estonian Genome Center—University of Tartu (Estonian Biobank): Data analyzes were carried out in part in the High Performance Computing Center of University of Tartu. EPIC (European Prospective Investigation into Cancer and Nutrition)-Norfolk: We thank all EPIC participants and staff for their contribution to the study. FENLAND (The Fenland Study): We are grateful to all the volunteers for their time and help, and to the General Practitioners and practice staff for assistance with recruitment. We thank the Fenland Study Investigators, Fenland Study Co-ordination team and the Epidemiology Field, Data and Laboratory teams. We further acknowledge support from the Medical research council (MC_UU_12015/1). GeneSTAR (Genetic Studies of Atherosclerosis Risk): We are very grateful to all of our participants for their long-term involvement. GLACIER (Gene x Lifestyle Interactions and Complex Traits Involved in Elevated Disease Risk): We thank the participants, health professionals and data managers involved in the Västerbottens Intervention Project. We are also grateful to the staff of the Northern Sweden Biobank for preparing materials and to K Enqvist and T Johansson (Västerbottens County Council, Umeå, Sweden) for DNA preparation. HCHS/SOL (Hispanic Community Health Study/Study of Latinos): We thank the participants and staff of the HCHS/SOL study for their contributions to this study. HRS (Health & Retirement Study): Our genotyping was conducted by the NIH Center for Inherited Disease Research (CIDR) at Johns Hopkins University. Genotyping quality control and final preparation of the data were performed by the Genetics Coordinating Center at the University of Washington. HyperGEN-AXIOM (Hypertension Genetic Epidemiology Network—Axiom Chip GWAS): We thank the study investigators, staff and participants for their value contributions. INGI (Italian Network Genetic Isolate): We thank all the inhabitants who participated to the projects. InterAct (The EPIC-InterAct Case-Cohort Study): We thank all EPIC participants and staff for their contribution to the study. IRAS (Insulin Resistance Atherosclerosis Study): The authors thank study investigators, staff, and participants for their valuable contributions. KORA (Cooperative Health Research in the Augsburg Region): We thank all KORA participants and staff for their contribution to the study. LBC1921 (Lothian Birth Cohort 1921): We thank the LBC1921 cohort participants and team members who contributed to these studies. Funding from the Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) is gratefully acknowledged. LBC1936 (Lothian Birth Cohort 1936): We thank the LBC1936 cohort participants and team members who contributed to these studies. Funding from the Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) is gratefully acknowledged. LifeLines (Lifelines Cohort Study): The authors wish to acknowledge the services of the Lifelines, the contributing research centers delivering data to Lifelines, and all the study participants. The authors wish to acknowledge the services of the Lifelines, the contributing research centers delivering data to Lifelines, and all the study participants. Also, Lifelines acknowledges the contributions from Behrooz Z Alizadeh (Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands), H Marike Boezen (Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands), Lude Franke (Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands), Pim van der Harst (Department of Cardiology, University of Groningen, University Medical Center Groningen, The Netherlands), Gerjan Navis (Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, The Netherlands), Marianne Rots (Department of Medical Biology, University of Groningen, University Medical Center Groningen, The Netherlands), Harold Snieder (Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands), Morris Swertz (Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands), Bruce HR Wolffenbuttel (Department of Endocrinology, University of Groningen, University Medical Center Groningen, The Netherlands), Cisca Wijmenga (Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands). LLFS (Long Life Family Study): The LLFS would like to thank the participants and research staff who make the study possible. LOLIPOP (London Life Sciences Prospective Population Study): We acknowledge support of the MRC-PHE Centre for Environment and Health, and the NIHR Health Protection Research Unit on Health Impact of Environmental Hazards. The work was carried out in part at the NIHR/Wellcome Trust Imperial Clinical Research Facility. The views expressed are those of the author(s) and not necessarily those of the Imperial College Healthcare NHS Trust, the NHS, the NIHR or the Department of Health. We thank the participants and research staff who made the study possible. PROCARDIS (Precocious Coronary Artery Disease): The PROCARDIS researchers thank the patients for their selfless participation in this project. RHS (Ragama Health Study): The RHS was supported by the Grant of National Center for Global Health and Medicine (NCGM), Japan. SWHS/SMHS (Shanghai Women's Health Study/ Shanghai Men's Health Study): We thank all the individuals who took part in these studies and all the researchers who have enabled this work to be carried out. TRAILS (TRacking Adolescents’ Individual Lives Survey): TRAILS is a collaborative project involving various departments of the University Medical Center and University of Groningen, the Erasmus University Medical Center Rotterdam, the University of Utrecht, the Radboud Medical Center Nijmegen, and the Parnassia Bavo group, all in the Netherlands. We are grateful to all adolescents who participated in this research and to everyone who worked on this project and made it possible. UKB (United Kingdom Biobank, www.ukbiobank.ac.uk): This research has been conducted using the UK Biobank Resource. The UK Biobank data were analyzed from the data set corresponding to UK Biobank access application no. 236, application title 'Genome-wide association study of blood pressure', with Paul Elliott as the PI/applicant. This work was supported by the UK-CMC and the BP working group., InterAct Consortium, Marten, Jonathan [0000-0001-6916-2014], Luan, Jian'an [0000-0003-3137-6337], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Lee Kong Chian School of Medicine (LKCMedicine), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Européen de Génomique du Diabète - European Genomic Institute for Diabetes - FR 3508 (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Feitosa, Mary F., Kraja, Aldi T., Chasman, Daniel I., Sung, Yun J., Winkler, Thomas W., Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K., Li, Changwei, Bentley, Amy R., Brown, Michael R., Schwander, Karen, Richard, Melissa A., Noordam, Raymond, Aschard, Hugue, Bartz, Traci M., Bielak, Lawrence F., Dorajoo, Rajkumar, Fisher, Virginia, Hartwig, Fernando P., Horimoto, Andrea R. V. R., Lohman, Kurt K., Manning, Alisa K., Rankinen, Tuomo, Smith, Albert V., Tajuddin, Salman M., Wojczynski, Mary K., Alver, Mari, Boissel, Mathilde, Cai, Qiuyin, Campbell, Archie, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E., He, Meian, Hsu, Fang-Chi, Jackson, Anne U., Kähönen, Mika, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Laguzzi, Federica, Luan, Jian'An, Matoba, Nana, Nolte, Ilja M., Padmanabhan, Sandosh, Riaz, Muhammad, Rueedi, Rico, Robino, Antonietta, Said, M. Abdullah, Scott, Robert A., Sofer, Tamar, Stančáková, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O., Van Der Most, Peter J., Varga, Tibor V., Vitart, Veronique, Wang, Yajuan, Ware, Erin B., Warren, Helen R., Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R., Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E., Aung, Tin, Boerwinkle, Eric, Borecki, Ingrid, Broeckel, Ulrich, Brown, Morri, Brumat, Marco, Burke, Gregory L., Canouil, Mickaël, Chakravarti, Aravinda, Charumathi, Sabanayagam, Chen, Yii-Der Ida, Connell, John M., Correa, Adolfo, De Las Fuentes, Lisa, De Mutsert, Renée, De Silva, H. Janaka, Deng, Xuan, Ding, Jingzhong, Duan, Qing, Eaton, Charles B., Ehret, Georg, Eppinga, Ruben N., Evangelou, Evangelo, Faul, Jessica D., Felix, Stephan B., Forouhi, Nita G., Forrester, Terrence, Franco, Oscar H., Friedlander, Yechiel, Gandin, Ilaria, Gao, He, Ghanbari, Mohsen, Gigante, Bruna, Gu, C. Charle, Gu, Dongfeng, Hagenaars, Saskia P., Hallmans, Göran, Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Howard, Barbara V., Ikram, M. Arfan, John, Ulrich, Katsuya, Tomohiro, Khor, Chiea Chuen, Kilpeläinen, Tuomas O., Koh, Woon-Puay, Krieger, José E., Kritchevsky, Stephen B., Kubo, Michiaki, Kuusisto, Johanna, Lakka, Timo A., Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Lehne, Benjamin, Lewis, Cora E., Li, Yize, Lin, Shiow, Liu, Jianjun, Liu, Jingmin, Loh, Marie, Louie, Tin, Mägi, Reedik, Mckenzie, Colin A., Meitinger, Thoma, Metspalu, Andre, Milaneschi, Yuri, Milani, Lili, Mohlke, Karen L., Momozawa, Yukihide, Nalls, Mike A., Nelson, Christopher P., Sotoodehnia, Nona, Norris, Jill M., O'Connell, Jeff R., Palmer, Nicholette D., Perls, Thoma, Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Poulter, Neil, Raffel, Leslie J., Raitakari, Olli T., Roll, Kathryn, Rose, Lynda M., Rosendaal, Frits R., Rotter, Jerome I., Schmidt, Carsten O., Schreiner, Pamela J., Schupf, Nicole, Scott, William R., Sever, Peter S., Shi, Yuan, Sidney, Stephen, Sims, Mario, Sitlani, Colleen M., Smith, Jennifer A., Snieder, Harold, Starr, John M., Strauch, Konstantin, Stringham, Heather M., Tan, Nicholas Y. Q., Tang, Hua, Taylor, Kent D., Teo, Yik Ying, Tham, Yih Chung, Turner, Stephen T., Uitterlinden, André G., Vollenweider, Peter, Waldenberger, Melanie, Wang, Lihua, Wang, Ya Xing, Wei, Wen Bin, Williams, Christine, Yao, Jie, Yu, Caizheng, Yuan, Jian-Min, Zhao, Wei, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., Chambers, John C., Deary, Ian J., Esko, Tõnu, Farrall, Martin, Franks, Paul W., Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Jonas, Jost Bruno, Kamatani, Yoichiro, Kato, Norihiro, Kooner, Jaspal S., Kutalik, Zoltán, Laakso, Markku, Laurie, Cathy C., Leander, Karin, Lehtimäki, Terho, Magnusson, Patrik K. E., Oldehinkel, Albertine J., Penninx, Brenda W. J. H., Polasek, Ozren, Porteous, David J., Rauramaa, Rainer, Samani, Nilesh J., Scott, Jame, Shu, Xiao-Ou, Van Der Harst, Pim, Wagenknecht, Lynne E., Wareham, Nicholas J., Watkins, Hugh, Weir, David R., Wickremasinghe, Ananda R., Wu, Tangchun, Zheng, Wei, Bouchard, Claude, Christensen, Kaare, Evans, Michele K., Gudnason, Vilmundur, Horta, Bernardo L., Kardia, Sharon L. R., Liu, Yongmei, Pereira, Alexandre C., Psaty, Bruce M., Ridker, Paul M., Van Dam, Rob M., Gauderman, W. Jame, Zhu, Xiaofeng, Mook-Kanamori, Dennis O., Fornage, Myriam, Rotimi, Charles N., Cupples, L. Adrienne, Kelly, Tanika N., Fox, Ervin R., Hayward, Caroline, Van Duijn, Cornelia M., Tai, E. Shyong, Wong, Tien Yin, Kooperberg, Charle, Palmas, Walter, Rice, Kenneth, Morrison, Alanna C., Elliott, Paul, Caulfield, Mark J., Munroe, Patricia B., Rao, Dabeeru C., Province, Michael A., Levy, Daniel, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Surgery, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, and Ehret, Georg Benedikt
Subjects: Genetics and Molecular Biology (all), Male, Erfðagreining, Áfengissýki, LOCI, Social Sciences, Blood Pressure, Genome-wide association study, Biochemistry, Vascular Medicine, TRANSCRIPTION FACTOR GATA4, Biochemistry, Genetics and Molecular Biology (all), Agricultural and Biological Sciences (all), DEPENDENCE, HEPATOCELLULAR-CARCINOMA, 80 and over, Psychology, Public and Occupational Health, Alcohol consumption, Cardiac and Cardiovascular Systems, Gene–environment interaction, ddc:616, Aged, 80 and over, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Middle Aged, Kardiologi, MESH: Polymorphism, Single Nucleotide, Áfengisneysla, MESH: Gene-Environment Interaction, COMMON VARIANTS, Genomics, MESH: Blood Pressure, Pedigree, 3. Good health, Näringslära, MESH: Young Adult, Physical Sciences, Medicine, Medical genetics, Erfðarannsóknir, Statistics (Mathematics), medicine.medical_specialty, Blood Pressure/genetics, Alcohol Drinking, MESH: Pedigree, Science, Genetic loci, ta3111, Genome Complexity, 03 medical and health sciences, Gene mapping, Genetics, Humans, Polymorphism, Statistical Methods, GENOME-WIDE ASSOCIATION, Molecular Biology Techniques, Molecular Biology, Alleles, Aged, MESH: Adolescent, MESH: Humans, Adolescent, Adult, Alcohol Drinking/epidemiology, Alcohol Drinking/genetics, Cohort Studies, Continental Population Groups/genetics, Continental Population Groups/statistics & numerical data, Female, Gene-Environment Interaction, Genetic Predisposition to Disease/epidemiology, Genetic Predisposition to Disease/genetics, Genome-Wide Association Study, Hypertension/epidemiology, Hypertension/genetics, Middle Aged, Polymorphism, Single Nucleotide, Young Adult, Gene Mapping, Racial Groups, ta1182, Biology and Life Sciences, Computational Biology, MESH: Adult, Meta-analysis, 030104 developmental biology, Genetic Loci, MESH: Genome-Wide Association Study, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Female, Mathematics, MESH: Alcohol Drinking, Meta-Analysis, 0301 basic medicine, MESH: Continental Population Groups, MESH: Hypertension, Mathematical and Statistical Techniques, MESH: Aged, 80 and over, Polymorphism (computer science), Medicine and Health Sciences, FUNCTIONAL VARIATION, MESH: Cohort Studies, MESH: Aged, Alcohol Consumption, Multidisciplinary, Nutrition and Dietetics, MESH: Genetic Predisposition to Disease, Genetic Predisposition to Disease/epidemiology/genetics, Single Nucleotide, Blóðþrýstingur, ENVIRONMENT INTERACTION, PTP4A1-PHF3-EYS VARIANTS, Alcoholism, ANCESTRAIS, Háþrýstingur, Hypertension, Blood pressure, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Medical Genetics, Research Article, Substance-Related Disorders, Addiction, RISK, METAANALYSIS, Research and Analysis Methods, Mental Health and Psychiatry, medicine, Medicine [Science], Genetic Predisposition to Disease, Allele, Hypertension/epidemiology/genetics, Nutrition, Medicinsk genetik, Continental Population Groups/genetics/statistics & numerical data, business.industry, Alcohol Drinking/epidemiology/genetics, Genetic architecture, MESH: Male, Introns, Diet, BODY-MASS INDEX, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business
Abstract: Publisher's version (útgefin grein)., Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10−5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10−8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10−8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension., The following authors declare commercial private and/or governmental affiliations: Bruce M. Psaty (BMP) serves on the DSMB of a clinical trial funded by Zoll Lifecor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Barbara V. Howard (BVH) has a contract from National Heart, Lung, and Blood Institute (NHLBI). Brenda W.J.H. Penninx (BWJHP) has received research funding (non-related to the work reported here) from Jansen Research and Boehringer Ingelheim. Mike A. Nalls (MAN) is supported by a consulting contract between Data Tecnica International LLC and the National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, MD, USA. MAN also consults for Illumina Inc., the Michael J. Fox Foundation, and the University of California Healthcare. MAN also has commercial affiliation with Data Tecnica International, Glen Echo, MD, USA. Mark J. Caulfield (MJC) has commercial affiliation and is Chief Scientist for Genomics England, a UK government company. Oscar H Franco (OHF) is supported by grants from Metagenics (on women's health and epigenetics) and from Nestlé (on child health). Peter S. Sever (PSS) is financial supported from several pharmaceutical companies which manufacture either blood pressure lowering or lipid lowering agents, or both, and consultancy fees. Paul W. Franks (PWF) has been a paid consultant in the design of a personalized nutrition trial (PREDICT) as part of a private-public partnership at Kings College London, UK, and has received research support from several pharmaceutical companies as part of European Union Innovative Medicines Initiative (IMI) projects. Fimlab LTD provided support in the form of salaries for author Terho Lehtimäki (TL) but did not have any additional role in the study design to publish, or preparation of the manuscript. Gen‐info Ltd provided support in the form of salaries for author Ozren Polašek (OP) but did not have any additional role in the study design to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. There are no patents, products in development, or marked products to declare. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Published: 2018

198. The genetic underpinnings of variation in ages at menarche and natural menopause among women from the multi-ethnic Population Architecture using Genomics and Epidemiology (PAGE) Study: A trans-ethnic meta-analysis

Author: Aravinda Chakravarti, Charles Kooperberg, Sheila F. Castañeda, Martha L. Daviglus, Myron D. Gross, V. Wendy Setiawan, Gerardo Heiss, Kari E. North, Dana C. Crawford, Yii-Der Ida Chen, Robert C. Kaplan, Christopher A. Haiman, Jennifer Malinowski, Kelli K. Ryckman, Petra Buzkova, Ruth J. F. Loos, Lucia A. Hindorff, Tara C. Matise, Jerome I. Rotter, Ran Tao, Steven Corbett, Nathan Pankratz, Steven C. Hunt, Loic Le Marchand, Omri Gottesman, Ulrike Peters, José Luis Ambite, Cara L. Carty, Lindsay Fernández-Rhodes, Jie Yao, Xiuqing Guo, Yujie Wang, Janina M. Jeff, Karen Schwander, Leslie J. Raffel, Suzette J. Bielinski, Dabeeru C. Rao, Noura S. Abul-Husn, Gregory A. Talavera, Sachiko Yoneyama, Ellen W. Demerath, Steven Buyske, Dhananjay Vaidya, Erwin P. Bottinger, Nora Franceschini, and Thameem, Farook
Subjects: 0301 basic medicine, Aging, Physiology, Population genetics, Genome-wide association study, Reproductive health and childbirth, 030105 genetics & heredity, Mathematical and Statistical Techniques, Endocrinology, Reproductive Physiology, Medicine and Health Sciences, Ethnicities, African American people, education.field_of_study, Multidisciplinary, Age Factors, Biological Variation, Genomics, Single Nucleotide, Population groupings, Phenotype, Physical Sciences, Menarche, Medicine, Female, Menopause, Statistics (Mathematics), Research Article, Genotype, General Science & Technology, Science, Population, Single-nucleotide polymorphism, Biology, Research and Analysis Methods, Population stratification, Polymorphism, Single Nucleotide, Molecular Genetics, 03 medical and health sciences, Genome-Wide Association Studies, Genetics, Humans, Statistical Methods, Polymorphism, education, Molecular Biology, Menstrual Cycle, Alleles, Genetic association, Endocrine Physiology, Contraception/Reproduction, Human Genome, Biology and Life Sciences, Computational Biology, Human Genetics, Genome Analysis, Genetic architecture, 030104 developmental biology, Good Health and Well Being, Biological Variation, Population, Genetic Loci, People and places, Mathematics, Meta-Analysis, Demography
Abstract: Current knowledge of the genetic architecture of key reproductive events across the female life course is largely based on association studies of European descent women. The relevance of known loci for age at menarche (AAM) and age at natural menopause (ANM) in diverse populations remains unclear. We investigated 32 AAM and 14 ANM previously-identified loci and sought to identify novel loci in a trans-ethnic array-wide study of 196,483 SNPs on the MetaboChip (Illumina, Inc.). A total of 45,364 women of diverse ancestries (African, Hispanic/Latina, Asian American and American Indian/Alaskan Native) in the Population Architecture using Genomics and Epidemiology (PAGE) Study were included in cross-sectional analyses of AAM and ANM. Within each study we conducted a linear regression of SNP associations with self-reported or medical record-derived AAM or ANM (in years), adjusting for birth year, population stratification, and center/region, as appropriate, and meta-analyzed results across studies using multiple meta-analytic techniques. For both AAM and ANM, we observed more directionally consistent associations with the previously reported risk alleles than expected by chance (p-valuesbinomial≤0.01). Eight densely genotyped reproductive loci generalized significantly to at least one non-European population. We identified one trans-ethnic array-wide SNP association with AAM and two significant associations with ANM, which have not been described previously. Additionally, we observed evidence of independent secondary signals at three of six AAM trans-ethnic loci. Our findings support the transferability of reproductive trait loci discovered in European women to women of other race/ethnicities and indicate the presence of additional trans-ethnic associations both at both novel and established loci. These findings suggest the benefit of including diverse populations in future studies of the genetic architecture of female growth and development.
Published: 2018

199. DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation

Author: Marleen M.J. van Greevenbroek, Erik W. van Zwet, Jeroen van Rooij, Wibowo Arindrarto, Tianxiao Huan, Marijn Verkerk, Allan C. Just, Cisca Wijmenga, Coen D.A. Stehouwer, Cornelia M. van Duijn, Coleen M. Damcott, Symen Ligthart, Dorret I. Boomsma, Cristina Menni, Hailiang Mei, Guosheng Zhang, Eric Boerwinkle, Diana van Heemst, Albert Hofman, Casper G. Schalkwijk, Jordana T. Bell, Carla J.H. van der Kallen, John M. Starr, Yucheng Jia, Andrea A. Baccarelli, Jeffrey R. O'Connell, Joyce B. C van Meurs, Steve Horvath, Allan F. McRae, Leonard H. van den Berg, Walter Palmas, Szymon M. Kielbasa, Freerk van Dijk, Stephen Turner, Sharon L.R. Kardia, Donna K. Arnett, Devin Absher, James D. Stewart, Jerome I. Rotter, Jouke J. Hottenga, Rahul Gondalia, Jan Bot, Joris Deelen, René Pool, Tomáš Paus, Yii-Der Ida Chen, Peter A.C. ’t Hoen, Thomas H. Mosley, René Luijk, Zdenka Pausova, Ettje F. Tigchelaar, Bastiaan T. Heijmans, André G. Uitterlinden, P. Mila Jhamai, Eric A. Whitsel, Alanna C. Morrison, Patrick Deelen, Lude Franke, Riccardo E. Marioni, Chunyu Liu, Rick Jansen, Marc Jan Bonder, J. H. Veldink, Xiuqing Guo, Oscar H. Franco, Yongmei Liu, Nona Sotoodehnia, Nico Lakenberg, Joel Schwartz, Daniel Levy, Catriona Syme, May E. Montasser, Irene Nooren, Elias Salfati, Michael M. Mendelson, Abbas Dehghan, Tim D. Spector, Jan Bressler, Jennifer A. Smith, Matthijs Moed, H. Eka D. Suchiman, Martijn Vermaat, Alan R. Shuldiner, Michael M. P. J. Verbiest, A Isaacs, Dasha V. Zhernakova, Jennifer A. Brody, Alexandra Zhernakova, Wei Zhao, Marian Beekman, Ian J. Deary, Maarten van Iterson, Min A. Jhun, Michiel van Galen, Weihua Guan, Jincheng Shen, Stella Aslibekyan, Myriam Fornage, Joyce B. J. van Meurs, Pantel S. Vokonas, Bruce M. Psaty, Melissa A. Richard, Peter Van ‘t Hof, Yun Li, Morris A. Swertz, Themistocles L. Assimes, P. Eline Slagboom, Jenny van Dongen, Pei-Chien Tsai, Lifang Hou, Ruud van der Breggen, Marguerite R. Irvin, Joshua C. Bis, Internal Medicine, Epidemiology, Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, Interne Geneeskunde, MUMC+: HVC Pieken Maastricht Studie (9), and MUMC+: MA Interne Geneeskunde (3)
Subjects: 0301 basic medicine, Netherlands Twin Register (NTR), sequence variation, Tetraspanins, Genome-wide association study, Blood Pressure, 030204 cardiovascular system & hematology, VARIANTS, Medical and Health Sciences, Epigenesis, Genetic, 0302 clinical medicine, 2.1 Biological and endogenous factors, Aetiology, Genetics (clinical), Genetics, Genetics & Heredity, RISK, DNA methylation, Methylation, Biological Sciences, Middle Aged, epigenome-wide association study, CpG site, HEART, POPULATIONS, BIOS Consortium, Biotechnology, EXPRESSION, Quantitative Trait Loci, Nerve Tissue Proteins, Quantitative trait locus, Biology, Article, 03 medical and health sciences, Genetic, SDG 3 - Good Health and Well-being, Mendelian randomization, Genetic variation, Journal Article, Humans, Epigenetics, GENOME-WIDE ASSOCIATION, COMMON, METAANALYSIS, Aged, HYPERTENSION, Human Genome, Genetic Variation, DNA Methylation, Mendelian Randomization Analysis, INDIVIDUALS, 030104 developmental biology, Cross-Sectional Studies, gene expression, CpG Islands, Epigenesis, Genome-Wide Association Study
Abstract: Genome-wide association studies have identified hundreds of genetic variants associated with blood pressure (BP), but sequence variation accounts for a small fraction of the phenotypic variance. Epigenetic changes may alter the expression of genes involved in BP regulation and explain part of the missing heritability. We therefore conducted a two-stage meta-analysis of the cross-sectional associations of systolic and diastolic BP with blood-derived genome-wide DNA methylation measured on the Infinium HumanMethylation450 BeadChip in 17,010 individuals of European, African American, and Hispanic ancestry. Of 31 discovery-stage cytosine-phosphate-guanine (CpG) dinucleotides, 13 replicated after Bonferroni correction (discovery: N = 9,828, p < 1.0× 10-7; replication: N = 7,182, p 30%) and independent of known BP genetic variants, explaining an additional 1.4% and 2.0% of the interindividual variation in systolic and diastolic BP, respectively. Bidirectional Mendelian randomization among up to 4,513 individuals of European ancestry from 4 cohorts suggested that methylation at cg08035323 (TAF1B-YWHAQ) influences BP, while BP influences methylation at cg00533891 (ZMIZ1), cg00574958 (CPT1A), and cg02711608 (SLC1A5). Gene expression analyses further identified six genes (TSPAN2, SLC7A11, UNC93B1, CPT1A, PTMS, and LPCAT3) with evidence of triangular associations between methylation, gene expression, and BP. Additional integrative Mendelian randomization analyses of gene expression and DNA methylation suggested that the expression of TSPAN2 is a putative mediator of association between DNA methylation at cg23999170 and BP. These findings suggest that heritable DNA methylation plays a role in regulating BP independently of previously known genetic variants.
Published: 2017

200. Genome-Wide Associations Related to Hepatic Histology in Nonalcoholic Fatty Liver Disease in Hispanic Boys

Author: Joel E. Lavine, Julia Wattacheril, James Tonascia, Jerome I. Rotter, Rohit Loomba, Naga Chalasani, Mark O. Goodarzi, Soonil Kwon, Elizabeth M. Brunt, Jean P. Molleston, Kent D. Taylor, Katherine P. Yates, Xiuqing Guo, Yii-Der Ida Chen, and Jeffrey B. Schwimmer
Subjects: 0301 basic medicine, Male, Pathology, Databases, Factual, Hispanic, Genome-wide association study, Gastroenterology, Oral and gastrointestinal, Hepatitis, Non-alcoholic Fatty Liver Disease, Nonalcoholic fatty liver disease, 2.1 Biological and endogenous factors, Aetiology, Child, Liver Disease, Fatty liver, Single Nucleotide, Hispanic or Latino, Liver, Child, Preschool, Cohort, Hispanic Americans, medicine.medical_specialty, Genotype, Adolescent, pediatrics, Chronic Liver Disease and Cirrhosis, Single-nucleotide polymorphism, Polymorphism, Single Nucleotide, Article, Paediatrics and Reproductive Medicine, 03 medical and health sciences, Databases, Rare Diseases, Clinical Research, Internal medicine, medicine, Genetics, SNP, Humans, Polymorphism, Preschool, Factual, Genetic association, fatty liver, business.industry, Prevention, fibrosis, Human Genome, genome wide, Human Movement and Sports Sciences, medicine.disease, 030104 developmental biology, Good Health and Well Being, Pediatrics, Perinatology and Child Health, business, Digestive Diseases, Body mass index, Genome-Wide Association Study
Abstract: Objective To identify genetic loci associated with features of histologic severity of nonalcoholic fatty liver disease in a cohort of Hispanic boys. Study design There were 234 eligible Hispanic boys age 2-17 years with clinical, laboratory, and histologic data enrolled in the Nonalcoholic Steatohepatitis Clinical Research Network included in the analysis of 624 297 single nucleotide polymorphisms (SNPs). After the elimination of 4 outliers and 22 boys with cryptic relatedness, association analyses were performed on 208 DNA samples with corresponding liver histology. Logistic regression analyses were carried out for qualitative traits and linear regression analyses were applied for quantitative traits. Results The median age and body mass index z-score were 12.0 years (IQR, 11.0-14.0) and 2.4 (IQR, 2.1-2.6), respectively. The nonalcoholic fatty liver disease activity score (scores 1-4 vs 5-8) was associated with SNP rs11166927 on chromosome 8 in the TRAPPC9 region (P = 8.7-07). Fibrosis stage was associated with SNP rs6128907 on chromosome 20, near actin related protein 5 homolog (p = 9.9-07). In comparing our results in Hispanic boys with those of previously reported SNPs in adult nonalcoholic steatohepatitis, 2 of 26 susceptibility loci were associated with nonalcoholic fatty liver disease activity score and 2 were associated with fibrosis stage. Conclusions In this discovery genome-wide association study, we found significant novel gene effects on histologic traits associated with nonalcoholic fatty liver disease activity score and fibrosis that are distinct from those previously recognized by adult nonalcoholic fatty liver disease genome-wide association studies.
Published: 2017

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