Author: "Kari E North" / Topic: 03 medical and health sciences - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Kari E North"' showing total 214 results

Start Over Author "Kari E North" Topic 03 medical and health sciences

214 results on '"Kari E North"'

1. Whole genome sequence analysis of platelet traits in the NHLBI Trans-Omics for Precision Medicine (TOPMed) initiative

Author: Nauder Faraday, Brian D. Hobbs, Quan Sun, Michael Preuss, Ani Manichaikul, Eric Jorgenson, Ming-Huei Chen, Eric Boerwinkle, Florian Thibord, Arunoday Bhan, Alanna C. Morrison, Ramachandran S. Vasan, Nathan Pankratz, Charles Kooperberg, Deborah A. Nickerson, Joshua P. Lewis, Hélène Choquet, Jee-Young Moon, Jeffrey R. O'Connell, Marsha M. Wheeler, Albert V. Smith, Russell P. Tracy, Nathalie Chami, Ruth J. F. Loos, Alexander P. Reiner, Nicholas L. Smith, Gonçalo R. Abecasis, Laura M. Raffield, Amarise Little, Nancy L. Heard-Costa, Andrew D. Johnson, David C. Glahn, Rasika A. Mathias, Adam S. Butterworth, John Blangero, Joanne E. Curran, Timothy A. Thornton, Laura Almasy, Jerome I. Rotter, Nancy Min, Lisa R. Yanek, Donald M. Lloyd-Jones, Zhe Wang, Matthew P. Conomos, Myriam Fornage, Hua Tang, Lewis C. Becker, Lynette Ekunwe, Cecelia A. Laurie, Adolfo Correa, Jai G. Broome, Terri H. Beaty, Jennifer A. Brody, Caitlin P. McHugh, Yao Hu, Braxton D. Mitchell, Lifang Hou, Yun Li, Kathleen A. Ryan, Paul L. Auer, Stephen S. Rich, Kari E. North, Thomas W. Blackwell, Bruce M. Psaty, Deepti Jain, Paul S Vries, Praveen Surendran, Butterworth, Adam [0000-0002-6915-9015], and Apollo - University of Cambridge Repository
Subjects: Blood Platelets, Platelet disorder, Population, Genome-wide association study, Biology, Quantitative trait locus, Polymorphism, Single Nucleotide, Medical and Health Sciences, Genome, 03 medical and health sciences, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, 0302 clinical medicine, Clinical Research, and Blood Institute (U.S.), Genetics, Humans, 2.1 Biological and endogenous factors, Polymorphism, Precision Medicine, Aetiology, Mean platelet volume, education, Hemostatic function, Lung, Molecular Biology, Genetics (clinical), 030304 developmental biology, Blood Platelet Disorders, Genetics & Heredity, 0303 health sciences, education.field_of_study, Human Genome, Single Nucleotide, National Heart, Hematology, General Medicine, Biological Sciences, United States, 3. Good health, Phenotype, Good Health and Well Being, 030220 oncology & carcinogenesis, General Article, National Heart, Lung, and Blood Institute (U.S.), Genome-Wide Association Study, Biotechnology
Abstract: Platelets play a key role in thrombosis and hemostasis. Platelet count (PLT) and mean platelet volume (MPV) are highly heritable quantitative traits, with hundreds of genetic signals previously identified, mostly in European ancestry populations. We here utilize whole genome sequencing (WGS) from NHLBI’s Trans-Omics for Precision Medicine initiative (TOPMed) in a large multi-ethnic sample to further explore common and rare variation contributing to PLT (n = 61 200) and MPV (n = 23 485). We identified and replicated secondary signals at MPL (rs532784633) and PECAM1 (rs73345162), both more common in African ancestry populations. We also observed rare variation in Mendelian platelet-related disorder genes influencing variation in platelet traits in TOPMed cohorts (not enriched for blood disorders). For example, association of GP9 with lower PLT and higher MPV was partly driven by a pathogenic Bernard-Soulier syndrome variant (rs5030764, p.Asn61Ser), and the signals at TUBB1 and CD36 were partly driven by loss of function variants not annotated as pathogenic in ClinVar (rs199948010 and rs571975065). However, residual signal remained for these gene-based signals after adjusting for lead variants, suggesting that additional variants in Mendelian genes with impacts in general population cohorts remain to be identified. Gene-based signals were also identified at several genome-wide association study identified loci for genes not annotated for Mendelian platelet disorders (PTPRH, TET2, CHEK2), with somatic variation driving the result at TET2. These results highlight the value of WGS in populations of diverse genetic ancestry to identify novel regulatory and coding signals, even for well-studied traits like platelet traits.
Published: 2021
Full Text: View/download PDF

2. Genome-wide association study of body fat distribution traits in Hispanics/Latinos from the HCHS/SOL

Author: Esteban J. Parra, Craig L. Hanis, Lisa Sanchez-Johnsen, Kristin L. Young, Misa Graff, Yujie Wang, Adán Valladares, Lauren E. Petty, Yii-Der Ida Chen, Xiuqing Guo, Mark O. Goodarzi, Miguel Cruz, Kari E. North, Anny H. Xiang, Leslie J. Raffel, Matthew A. Allison, Tamar Sofer, Yann C. Klimentidis, Shelly Ann Love, Anne E. Justice, Stephanie M. Gogarten, Fernando Pires Hartwig, Thomas A. Buchanan, Jennifer E. Below, Jingyi Tan, Jie Yao, Jerome I. Rotter, Willa A. Hsueh, Eli Ipp, Walter Palmas, Kent D. Taylor, Heather M. Highland, and Carmen R. Isasi
Subjects: AcademicSubjects/SCI01140, Waist, Ethnic group, 030209 endocrinology & metabolism, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, Quantitative Trait, Heritable, 0302 clinical medicine, Genetics, medicine, Body Fat Distribution, Humans, Association Studies Article, Molecular Biology, Alleles, Genetics (clinical), Adiposity, 030304 developmental biology, Body fat distribution, 0303 health sciences, Hispanic latino, Hispanic or Latino, General Medicine, medicine.disease, Hchs sol, Obesity, Body mass index, Genome-Wide Association Study, Demography
Abstract: Author(s): Justice, Anne E; Young, Kristin; Gogarten, Stephanie M; Sofer, Tamar; Graff, Misa; Love, Shelly Ann M; Wang, Yujie; Klimentidis, Yann C; Cruz, Miguel; Guo, Xiuqing; Hartwig, Fernando; Petty, Lauren; Yao, Jie; Allison, Matthew A; Below, Jennifer E; Buchanan, Thomas A; Chen, Yii-Der Ida; Goodarzi, Mark O; Hanis, Craig; Highland, Heather M; Hsueh, Willa A; Ipp, Eli; Parra, Esteban; Palmas, Walter; Raffel, Leslie J; Rotter, Jerome I; Tan, Jingyi; Taylor, Kent D; Valladares, Adan; Xiang, Anny H; Sanchez-Johnsen, Lisa; Isasi, Carmen R; North, Kari E | Abstract: Central obesity is a leading health concern with a great burden carried by ethnic minority populations, especially Hispanics/Latinos. Genetic factors contribute to the obesity burden overall and to inter-population differences. We aimed to identify loci associated with central adiposity measured as waist-to-hip ratio (WHR), waist circumference (WC), and hip circumference (HIP) adjusted for body mass index (adjBMI), using the Hispanic Community Health Study/Study of Latinos (HCHS/SOL); determine if differences in associations differ by background group within HCHS/SOL; and determine whether previously reported associations generalize to HCHS/SOL. Our analyses included 7472 women and 5200 men of mainland (Mexican, Central and South American) and Caribbean (Puerto Rican, Cuban, and Dominican) background residing in the US. We performed genome-wide association analyses stratified and combined across sexes using linear mixed-model regression. We identified 16 variants for WHRadjBMI, 22 for WCadjBMI, and 28 for HIPadjBMI that reached suggestive significance (P l 1x10-6). Many loci exhibited differences in strength of associations by ethnic background and sex. We brought a total of 66 variants forward for validation in cohorts (N = 34 161) with participants of Hispanic/Latino, African and European descent. We confirmed 4 novel loci (P l 0.05 and consistent direction of effect, and P l 5x10-8 after meta-analysis), including 2 for WHRadjBMI (rs13301996, rs79478137); 1 for WCadjBMI (rs3168072); and 1 for HIPadjBMI (rs28692724). Also, we generalized previously reported associations to HCHS/SOL, (8 for WHRadjBMI; 10 for WCadjBMI; 12 for HIPadjBMI). Our study highlights the importance of large-scale genomic studies in ancestrally diverse Hispanic/Latino populations for identifying and characterizing central obesity-susceptibility that may be ancestry-specific.
Published: 2021
Full Text: View/download PDF

3. Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program

Author: Adolfo Correa, Jai G. Broome, Chunyan Ren, Kari E. North, Nancy L. Heard-Costa, Yao Yao, Brian D. Hobbs, Mary Cushman, Leslie A. Lange, Daniel E. Bauer, Xiuwen Zheng, Braxton D. Mitchell, Yun Li, Quan Sun, Sébastian Méric de Bellefon, Terri H. Beaty, Paul S. de Vries, Ruth J. F. Loos, Adrienne M. Stilp, Albert V. Smith, Paul L. Auer, Deepti Jain, Lifang Hou, Robert C. Kaplan, Jee-Young Moon, Michael Preuss, Stephen S. Rich, Guillaume Lettre, Nicole Soranzo, Eric Boerwinkle, Kousik Kundu, Laura Almasy, Marsha M. Wheeler, Thomas W. Blackwell, Nancy Min, Nicholas L. Smith, Bruce M. Psaty, Lisa R. Yanek, Joanne E. Curran, Stacey Gabriel, Kathleen A. Ryan, Alanna C. Morrison, Lynette Ekunwe, Caitlin P. McHugh, Laura M. Raffield, Adam S. Butterworth, Deborah A. Nickerson, Ravindranath Duggirala, Gonçalo R. Abecasis, John Lane, Hélène Choquet, Andrew D. Johnson, Nauder Faraday, Russell T. Walton, Praveen Surendran, Jennifer A. Brody, Yao Hu, Alexander P. Reiner, Jerome I. Rotter, Donald M. Lloyd-Jones, Cathy C. Laurie, Zhe Wang, Hua Tang, Charles Kooperberg, Eric Jorgenson, Jeffrey R. O'Connell, Shuquan Rao, Nathalie Chami, Rasika A. Mathias, Matthew P. Conomos, Myriam Fornage, Ramachandran S. Vasan, Nathan Pankratz, Joshua P. Lewis, Lewis C. Becker, Benjamin P. Kleinstiver, Cecelia A. Laurie, Ming-Huei Chen, and John Blangero
Subjects: Adult, Male, Quality Control, 0301 basic medicine, Erythrocytes, Population, Datasets as Topic, Genome-wide association study, Biology, Quantitative trait locus, Article, 03 medical and health sciences, 0302 clinical medicine, Genetics, Humans, Indel, education, Gene, Genetics (clinical), Aged, Genetic association, Gene Editing, Whole genome sequencing, education.field_of_study, Genetic Variation, Reproducibility of Results, Correction, Middle Aged, United States, Genetic architecture, HEK293 Cells, Phenotype, 030104 developmental biology, 030220 oncology & carcinogenesis, Female, National Heart, Lung, and Blood Institute (U.S.), Chromosomes, Human, Pair 16, Genome-Wide Association Study
Abstract: Summary Whole-genome sequencing (WGS), a powerful tool for detecting novel coding and non-coding disease-causing variants, has largely been applied to clinical diagnosis of inherited disorders. Here we leveraged WGS data in up to 62,653 ethnically diverse participants from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and assessed statistical association of variants with seven red blood cell (RBC) quantitative traits. We discovered 14 single variant-RBC trait associations at 12 genomic loci, which have not been reported previously. Several of the RBC trait-variant associations (RPN1, ELL2, MIDN, HBB, HBA1, PIEZO1, and G6PD) were replicated in independent GWAS datasets imputed to the TOPMed reference panel. Most of these discovered variants are rare/low frequency, and several are observed disproportionately among non-European Ancestry (African, Hispanic/Latino, or East Asian) populations. We identified a 3 bp indel p.Lys2169del (g.88717175_88717177TCT[4]) (common only in the Ashkenazi Jewish population) of PIEZO1, a gene responsible for the Mendelian red cell disorder hereditary xerocytosis (MIM: 194380 ), associated with higher mean corpuscular hemoglobin concentration (MCHC). In stepwise conditional analysis and in gene-based rare variant aggregated association analysis, we identified several of the variants in HBB, HBA1, TMPRSS6, and G6PD that represent the carrier state for known coding, promoter, or splice site loss-of-function variants that cause inherited RBC disorders. Finally, we applied base and nuclease editing to demonstrate that the sentinel variant rs112097551 (nearest gene RPN1) acts through a cis-regulatory element that exerts long-range control of the gene RUVBL1 which is essential for hematopoiesis. Together, these results demonstrate the utility of WGS in ethnically diverse population-based samples and gene editing for expanding knowledge of the genetic architecture of quantitative hematologic traits and suggest a continuum between complex trait and Mendelian red cell disorders.
Published: 2021
Full Text: View/download PDF

4. Host genetic effects in pneumonia

Author: Lisa Bastarache, Kari E. North, Xue Zhong, Lauren E. Petty, Hannah G. Polikowsky, Ruth J. F. Loos, Michael Preuss, Nancy J. Cox, Megan M. Shuey, Chad D. Huff, Douglas M. Shaw, Misa Graff, Daeeun Kim, Julie A. Bastarache, Victoria L. Buchanan, Jennifer E. Below, Hung-Hsin Chen, and Ryan J. Bohlender
Subjects: 0301 basic medicine, Male, Linkage disequilibrium, host genetic effect, Genotype, Pneumonia, Viral, Cystic Fibrosis Transmembrane Conductance Regulator, Genome-wide association study, Disease, Cystic fibrosis, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Loss of heterozygosity, 03 medical and health sciences, Hemoglobins, Pulmonary Disease, Chronic Obstructive, 0302 clinical medicine, Report, Databases, Genetic, Outpatients, Genetics, medicine, pneumonia, GWAS, Electronic Health Records, Humans, Genetics(clinical), Bronchitis, Genetics (clinical), Genetic association, Inpatients, Principal Component Analysis, business.industry, COVID-19, Reproducibility of Results, electronic health record, medicine.disease, United Kingdom, biobank, 030104 developmental biology, 030228 respiratory system, Infectious disease (medical specialty), Immunology, Host-Pathogen Interactions, Female, business, Genome-Wide Association Study
Abstract: Summary Given the coronavirus disease 2019 (COVID-19) pandemic, investigations into host susceptibility to infectious diseases and downstream sequelae have never been more relevant. Pneumonia is a lung disease that can cause respiratory failure and hypoxia and is a common complication of infectious diseases, including COVID-19. Few genome-wide association studies (GWASs) of host susceptibility and severity of pneumonia have been conducted. We performed GWASs of pneumonia susceptibility and severity in the Vanderbilt University biobank (BioVU) with linked electronic health records (EHRs), including Illumina Expanded Multi-Ethnic Global Array (MEGAEX)-genotyped European ancestry (EA, n= 69,819) and African ancestry (AA, n = 15,603) individuals. Two regions of large effect were identified: the CFTR locus in EA (rs113827944; OR = 1.84, p value = 1.2 × 10−36) and HBB in AA (rs334 [p.Glu7Val]; OR = 1.63, p value = 3.5 × 10−13). Mutations in these genes cause cystic fibrosis (CF) and sickle cell disease (SCD), respectively. After removing individuals diagnosed with CF and SCD, we assessed heterozygosity effects at our lead variants. Further GWASs after removing individuals with CF uncovered an additional association in R3HCC1L (rs10786398; OR = 1.22, p value = 3.5 × 10−8), which was replicated in two independent datasets: UK Biobank (n = 459,741) and 7,985 non-overlapping BioVU subjects, who are genotyped on arrays other than MEGAEX. This variant was also validated in GWASs of COVID-19 hospitalization and lung function. Our results highlight the importance of the host genome in infectious disease susceptibility and severity and offer crucial insight into genetic effects that could potentially influence severity of COVID-19 sequelae.
Published: 2020

5. Serum metabolites reflecting gut microbiome alpha diversity predict type 2 diabetes

Author: Jordana T. Bell, Elizabeth Selvin, Cristina Menni, Caroline I. Le Roy, Jialing Zhu, Kari E. North, Eric Boerwinkle, Robert P. Mohney, Kristin L. Young, Olatz Mompeo, Ana M. Valdes, Massimo Mangino, Casey M. Rebholz, Tim D. Spector, and Bing Yu
Subjects: Male, Serum, 0301 basic medicine, Microbiology (medical), microbial metabolites, endocrine system diseases, Type 2 diabetes, Biology, digestive system, Microbiology, microbiome diversity, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Metabolomics, lcsh:RC799-869, prevalent diabetes, Aged, incident diabetes, 2. Zero hunger, Genetics, Bacteria, digestive, oral, and skin physiology, Gastroenterology, nutritional and metabolic diseases, Middle Aged, medicine.disease, Gut microbiome, Gastrointestinal Microbiome, 030104 developmental biology, Infectious Diseases, Diabetes Mellitus, Type 2, Female, 030211 gastroenterology & hepatology, Alpha diversity, lcsh:Diseases of the digestive system. Gastroenterology, human activities, Research Article, Research Paper
Abstract: Type 2 diabetes (T2D) is associated with reduced gut microbiome diversity, although the cause is unclear. Metabolites generated by gut microbes also appear to be causative factors in T2D. We therefore searched for serum metabolites predictive of gut microbiome diversity in 1018 females from TwinsUK with concurrent metabolomic profiling and microbiome composition. We generated a Microbial Metabolites Diversity (MMD) score of six circulating metabolites that explained over 18% of the variance in microbiome alpha diversity. Moreover, the MMD score was associated with a significantly lower odds of prevalent (OR[95%CI] = 0.22[0.07;0.70], P = .01) and incident T2D (HR[95%CI] = 0.31[0.11,0.90], P = .03). We replicated our results in 1522 individuals from the ARIC study (prevalent T2D: OR[95%CI] = 0.79[0.64,0.96], P = .02, incident T2D: HR[95%CI] = 0.87[0.79,0.95], P = .003). The MMD score mediated 28%[15%,94%] of the total effect of gut microbiome on T2D after adjusting for confounders. Metabolites predicting higher microbiome diversity included 3-phenylpropionate(hydrocinnamate), indolepropionate, cinnamoylglycine and 5-alpha-pregnan-3beta,20 alpha-diol monosulfate(2) of which indolepropionate and phenylpropionate have already been linked to lower incidence of T2D. Metabolites correlating with lower microbial diversity included glutarate and imidazole propionate, of which the latter has been implicated in insulin resistance. Our results suggest that the effect of gut microbiome diversity on T2D is largely mediated by microbial metabolites, which might be modifiable by diet.
Published: 2020

6. Maternal diet as a risk factor for primary congenital glaucoma and defects of the anterior segment of the eye in the<scp>National Birth Defects Prevention Study</scp>

Author: Kari E. North, Tania A Desrosiers, Sharon F. Freedman, Nina E. Forestieri, KJ Moore, Robert E. Meyer, Suzan L. Carmichael, and Andrew F. Olshan
Subjects: 0301 basic medicine, Embryology, Pediatrics, medicine.medical_specialty, Health, Toxicology and Mutagenesis, 030105 genetics & heredity, Toxicology, Logistic regression, Odds, 03 medical and health sciences, Pregnancy, Risk Factors, Odds Ratio, medicine, Humans, Risk factor, business.industry, Infant, Glaucoma, Odds ratio, medicine.disease, United States, Latent class model, Confidence interval, Diet, 030104 developmental biology, Quartile, Case-Control Studies, Pediatrics, Perinatology and Child Health, Female, business, Developmental Biology
Abstract: Primary congenital glaucoma (PCG) and anterior segment defects (ASDs) are rare ocular malformations diagnosed early in life which can cause blindness. Pathogenic variants in several genes have been linked to these conditions, but little is known about nongenetic risk factors. We investigated the association between maternal nutrition and PCG and ASDs in the National Birth Defects Prevention Study, a large population-based, multicenter case-control study of major birth defects in the United States. Mothers of cases (n = 152) and control infants without a birth defect (n = 9,178) completed an interview which included a food frequency questionnaire capturing usual dietary intake in the year before pregnancy. Maternal nutrition was assessed through individual nutrient intake, calculating a Diet Quality Index for Pregnancy (DQI-P) score for each mother, and using latent class analysis to empirically derive four dietary patterns. We calculated adjusted odds ratios (aORs) and 95% confidence intervals (CI) using logistic regression. The results for individual nutrients varied, with some having an inverse or U-shaped pattern of association with increasing intake. The DQI-P was not associated with risk of PCG and ASDs (aOR 0.91; CI 0.49-1.66, highest vs. lowest quartile). The dietary pattern analysis suggested lower odds among women with a Prudent and Mexican dietary pattern (aOR 0.82, 95% CI 0.52-1.29; aOR 0.80, 95% CI 0.36-1.78, respectively) compared to those with a Western dietary pattern. We found that higher intake of some nutrients and certain dietary patterns may be inversely associated with PCG and ASDs, though caution is urged due to imprecision of estimates.
Published: 2020
Full Text: View/download PDF

7. Ancestry-specific associations identified in genome-wide combined-phenotype study of red blood cell traits emphasize benefits of diversity in genomics

Author: Colleen M. Sitlani, Ruth J. F. Loos, Heather M. Highland, Chani J. Hodonsky, Bharat Thyagarajan, Charles Kooperberg, Laura M. Raffield, Danyu Lin, Genevieve L. Wojcik, Stephanie A. Bien, Myriam Fornage, Yun Li, Alexander P. Reiner, Kari E. North, Christy L. Avery, Lucia A. Hindorff, Antoine R Baldassari, Ran Tao, Steve Buyske, Weihong Tang, and Marielisa Graff
Subjects: Male, Multifactorial Inheritance, Erythrocytes, lcsh:QH426-470, lcsh:Biotechnology, Population, Locus (genetics), Single-nucleotide polymorphism, Genome-wide association study, Multi-ethnic, Biology, Polymorphism, Single Nucleotide, White People, 03 medical and health sciences, Quantitative Trait, Heritable, lcsh:TP248.13-248.65, Genetics, Humans, GWAS, education, 030304 developmental biology, Blood cell traits, Pleiotropy, 0303 health sciences, education.field_of_study, Diversity, 030305 genetics & heredity, Hispanic or Latino, Sequence Analysis, DNA, Heritability, Genetic architecture, United States, Combined-phenotype analysis, Black or African American, lcsh:Genetics, Genetics, Population, Phenotype, Expression quantitative trait loci, Population study, Female, Biotechnology, Research Article, Genome-Wide Association Study
Abstract: Background Quantitative red blood cell (RBC) traits are highly polygenic clinically relevant traits, with approximately 500 reported GWAS loci. The majority of RBC trait GWAS have been performed in European- or East Asian-ancestry populations, despite evidence that rare or ancestry-specific variation contributes substantially to RBC trait heritability. Recently developed combined-phenotype methods which leverage genetic trait correlation to improve statistical power have not yet been applied to these traits. Here we leveraged correlation of seven quantitative RBC traits in performing a combined-phenotype analysis in a multi-ethnic study population. Results We used the adaptive sum of powered scores (aSPU) test to assess combined-phenotype associations between ~ 21 million SNPs and seven RBC traits in a multi-ethnic population (maximum n = 67,885 participants; 24% African American, 30% Hispanic/Latino, and 43% European American; 76% female). Thirty-nine loci in our multi-ethnic population contained at least one significant association signal (p 5%) across all ancestral populations. Nineteen additional independent association signals were identified at seven known loci (HFE, KIT, HBS1L/MYB, CITED2/FILNC1, ABO, HBA1/2, and PLIN4/5). For example, the HBA1/2 locus contained 14 conditionally independent association signals, 11 of which were previously unreported and are specific to African and Amerindian ancestries. One variant in this region was common in all ancestries, but exhibited a narrower LD block in African Americans than European Americans or Hispanics/Latinos. GTEx eQTL analysis of all independent lead SNPs yielded 31 significant associations in relevant tissues, over half of which were not at the gene immediately proximal to the lead SNP. Conclusion This work identified seven loci containing multiple independent association signals for RBC traits using a combined-phenotype approach, which may improve discovery in genetically correlated traits. Highly complex genetic architecture at the HBA1/2 locus was only revealed by the inclusion of African Americans and Hispanics/Latinos, underscoring the continued importance of expanding large GWAS to include ancestrally diverse populations.
Published: 2020
Full Text: View/download PDF

8. Nine-Year Ethanol Intake Trajectories and Their Association With 15-Year Cognitive Decline Among Black and White Adults

Author: Natalia Petruski-Ivleva, Kari E. North, Laura R. Loehr, Gerardo Heiss, Sarah B Jones, Anna Kucharska-Newton, Donglin Zeng, Priya Palta, Shelly-Ann Love, and Mariaelisa Graff
Subjects: Epidemiology, business.industry, Cognition, medicine.disease, Confidence interval, 03 medical and health sciences, 0302 clinical medicine, medicine, Dementia, 030212 general & internal medicine, Effects of sleep deprivation on cognitive performance, Ethanol intake, Cognitive decline, Association (psychology), business, Cognitive impairment, 030217 neurology & neurosurgery, Demography
Abstract: Faster rates of age-related cognitive decline might result in early onset of cognitive impairment and dementia. The relationship between ethanol intake and cognitive decline, although studied extensively, remains poorly understood. Previous studies used single measurements of ethanol, and few were conducted in diverse populations. We assessed the association of 9-year trajectories of ethanol intake (1987–1998) with 15-year rate of decline in cognitive performance from mid- to late life (1996–2013) among 2,169 Black and 8,707 White participants of the US Atherosclerosis Risk in Communities study using multivariable linear regression models. We hypothesized that stable, low to moderate drinking would be associated with lesser 15-year cognitive decline, and stable, heavy drinking with greater 15-year cognitive decline. Stable, low to moderate drinking (for Blacks, adjusted mean difference (MD) = 0.03 (95% confidence interval (CI): −0.13, 0.19); for Whites, adjusted MD = 0.02 (95% CI: −0.05, 0.08)) and stable, heavy drinking (for Blacks, adjusted MD = 0.08 (95% CI: −0.34, 0.50); for Whites, adjusted MD = −0.03 (95% CI: −0.18, 0.11)) in midlife compared with stable never-drinking were not associated with 15-year decline in general cognitive function from mid- to late life. No association was observed for the stable former and “mostly” drinking trajectories with 15-year cognitive decline. Stable low, low to moderate, and stable heavy drinking in midlife are not associated with lesser and greater cognitive decline, respectively, from mid- to late life among Black and White adults.
Published: 2020
Full Text: View/download PDF

9. Epigenetic reprogramming in periodontal disease: Dynamic crosstalk with potential impact in oncogenesis

Author: Steven Kim, Kari E. North, Robert Tarran, Raquel M. Scarel-Caminaga, Farahnaz Fahimipour, Anne E. Justice, and Silvana P. Barros
Subjects: Epigenomics, 0301 basic medicine, Carcinogenesis, business.industry, 030206 dentistry, Epigenome, Disease, DNA Methylation, medicine.disease_cause, Bioinformatics, Epigenesis, Genetic, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, DNA methylation, medicine, Humans, Periodontics, Epigenetics, Microbiome, business, Reprogramming, Periodontal Diseases
Abstract: Periodontitis is a chronic multifactorial inﬂammatory disease associated with microbial dysbiosis and characterized by progressive destruction of the periodontal tissues. Such chronic infectious inflammatory disease is recognized as a major public health problem worldwide with measurable impact in systemic health. It has become evident that the periodontal disease phenotypes are not only determined by the microbiome effect, but the extent of the tissue response is also driven by the host genome and epigenome patterns responding to various environmental exposures. More recently there is mounting evidence indicating that epigenetic reprogramming in response to combined intrinsic and environmental exposures, might be particularly relevant due its plasticity and potential application towards precision health. The complex epigenetic crosstalk is reflected in the prognosis and progress of periodontal diseases and may also lead to a favorable landscape for cancer development. This review discusses epigenomics modifications focusing on the role of DNA methylation and pathways linking microbial infection and inflammatory pathways, which are also associated with carcinogenesis. There is a more clear vision whereas 'omics' technologies applied to unveil relevant epigenetic factors could play a significant role in the treatment of periodontal disease in a personalized mode, evidencing that public health approach should coexist with precision individualized treatment.
Published: 2019
Full Text: View/download PDF

10. Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations

Author: Nicholas J. Wareham, Carol A. Wang, Daniel I. Chasman, Yasmin Mossavar-Rahmani, Jordi Merino, Ruifang Li-Gao, Jessica C. Kiefte-de Jong, Rozenn N. Lemaitre, Paul M. Ridker, Kent D. Taylor, Gina M. Peloso, Achilleas N. Pitsillides, Craig E. Pennell, Wendy H. Oddy, Linda Snetselaar, Kim V.E. Braun, Nathan L. Tintle, Alice H. Lichtenstein, Nita G. Forouhi, James B. Meigs, Alexis C. Wood, M. Arfan Ikram, Fumiaki Imamura, Melanie Guirette, Jason Westra, Jorma Viikari, Frits R. Rosendall, Kristin L. Young, Dennis O. Mook-Kanamori, Renée de Mutsert, Jian'an Luan, Mika Helminen, Dariush Mozaffarian, Jerome I. Rotter, Niina Pitkänen, Danielle E. Haslam, Olli T. Raitakari, Steven Rich, JoAnn E. Manson, Trudy Voortman, Nicola M. McKeown, Mariaelisa Graff, Mohsen Ghanbari, Josée Dupuis, Mark A. Herman, Kari E. North, Terho Lehtimäki, Caren E. Smith, Bruce M. Psaty, Hassan S. Dashti, Samia Mora, Traci M. Bartz, André G. Uitterlinden, Kara A Livingston, Mika Kähönen, Lisa W. Martin, Imamura, Fumiaki [0000-0002-6841-8396], Luan, Jian'an [0000-0003-3137-6337], Forouhi, Nita [0000-0002-5041-248X], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Epidemiology, Radiology & Nuclear Medicine, Internal Medicine, Tampere University, Department of Clinical Physiology and Nuclear Medicine, Clinical Medicine, Tays Research Services, Health Sciences, and Department of Clinical Chemistry
Subjects: 0301 basic medicine, Male, carbohydrates, Cardiovascular, chemistry.chemical_compound, 0302 clinical medicine, High-density lipoprotein, genetics, 030212 general & internal medicine, Sugar-Sweetened Beverages, Basic Helix-Loop-Helix Leucine Zipper Transcription Factors, General Medicine, Single Nucleotide, Middle Aged, Cholesterol, nutrition, Biochemistry, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Female, epidemiology, Adult, HDL, Locus (genetics), Polymorphism, Single Nucleotide, 03 medical and health sciences, Meta-Analysis as Topic, Genetics, Humans, triglyceride, Polymorphism, Sugar, Carbohydrate-responsive element-binding protein, Transcription factor, Triglycerides, Triglyceride, Human Genome, Cholesterol, HDL, dyslipidemia, Original Articles, Carbohydrate, 3141 Health care science, stomatognathic diseases, 030104 developmental biology, chemistry, sugars, 3111 Biomedicine
Abstract: Supplemental Digital Content is available in the text., Background: ChREBP (carbohydrate responsive element binding protein) is a transcription factor that responds to sugar consumption. Sugar-sweetened beverage (SSB) consumption and genetic variants in the CHREBP locus have separately been linked to HDL-C (high-density lipoprotein cholesterol) and triglyceride concentrations. We hypothesized that SSB consumption would modify the association between genetic variants in the CHREBP locus and dyslipidemia. Methods: Data from 11 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (N=63 599) and the UK Biobank (N=59 220) were used to quantify associations of SSB consumption, genetic variants, and their interaction on HDL-C and triglyceride concentrations using linear regression models. A total of 1606 single nucleotide polymorphisms within or near CHREBP were considered. SSB consumption was estimated from validated questionnaires, and participants were grouped by their estimated intake. Results: In a meta-analysis, rs71556729 was significantly associated with higher HDL-C concentrations only among the highest SSB consumers (β, 2.12 [95% CI, 1.16–3.07] mg/dL per allele; P
Published: 2021

11. Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration

Author: Sina A. Gharib, Kenneth Rice, Donna K. Arnett, Tõnu Esko, Annemarie I. Luik, Niki Dimou, Dabeeru C. Rao, Pamela J. Schreiner, Melissa A. Richard, Reedik Mägi, Nicholette D. Palmer, Stefan Weiss, Han Chen, Solomon K. Musani, W. James Gauderman, Christian Gieger, Kari E. North, Salman M. Tajuddin, Diana van Heemst, Rainer Rauramaa, Stephen B. Kritchevsky, Henry Völzke, Minjung Kho, Michele K. Evans, Ruth J. F. Loos, Correa Adolfo, Pedro Marques-Vidal, Diane M. Becker, Claude Bouchard, José Haba-Rubio, Georg Homuth, Kurt Lohman, Nora Franceschini, Caizheng Yu, Peter Vollenweider, Ervin F. Fox, Thomas Meitinger, Karen Schwander, Heming Wang, Morris A. Swertz, Aldi T. Kraja, José Eduardo Krieger, Xiuqing Guo, Tangchun Wu, Raymond Noordam, Yongmei Liu, Michael R. Brown, Patrick C.N. Rensen, Annette Peters, Jingmin Liu, Tuomo Rankinen, Robert B. Wallance, Timo A. Lakka, Stephen S. Rich, Yun Ju Sung, Meian He, Till Roenneberg, Wanqing Wen, Dennis O. Mook-Kanamori, M. A. Province, Evangelos Evangelou, L. Adrienne Cupples, Maxime M Bos, Paul S. de Vries, Hans J. Grabe, Lisa R. Yanek, Jiwon Lee, Mario Sims, Bruce M. Psaty, Treva Rice, Tanika N. Kelly, Brenda W.J.H. Penninx, Brigitte Kühnel, Maria E. Graff, Alexandre C. Pereira, Daniel J. Gottlieb, Charles N. Rotimi, Lynne E. Wagenknecht, Ashley van der Spek, Lisa W. Martin, Jeffrey R. O'Connell, Changwei Li, James E. Hixson, Chuan Gao, Alisa K. Manning, Sharon L.R. Kardia, Stella Aslibekyan, Andres Metspalu, Sami Heikkinen, Maris Alver, Xiao-Ou Shu, Amy R. Bentley, Susan Redline, Konstantin Strauch, Tamara B. Harris, Yuri Milaneschi, L.F. Bielak, Marjan Ilkov, Myriam Fornage, Ilja M. Nolte, André G. Uitterlinden, Dina Vojinovic, Hugues Aschard, Paul Elliott, Kent D. Taylor, Najaf Amin, James M. Shikany, Yong-Bing Xiang, Jerome I. Rotter, Vilmundur Gudnason, Cornelia M. van Duijn, Ko Willems van Dijk, Andrea R. V. R. Horimoto, Jonathan Marten, Olli T. Raitakari, Vincent Laville, Pirjo Komulainen, Zhe Wang, Traci M. Bartz, Mary F. Feitosa, Mike A. Nalls, Eric Boerwinkle, Alanna C. Morrison, Melanie Waldenberger, Alexander P. Reiner, Christie M. Ballantyne, Wei Zheng, Raphael Heinzer, M. Arfan Ikram, Colleen M. Sitlani, Lisa de las Fuentes, Patricia B. Munroe, Patricia A. Peyser, Brian E. Cade, Tamar Sofer, Xiaofeng Zhu, Nienke R. Biermasz, Harold Snieder, Elise Lim, Tuomas O. Kilpeläinen, Ching-Ti Liu, Terho Lehtimäki, Thomas W. Winkler, Leo-Pekka Lyytikäinen, Gudny Eiriksdottir, Stephen Sidney, Alan B. Zonderman, Charles Kooperberg, Leiden University Medical Center (LUMC), Universiteit Leiden, Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), Universität Regensburg (UR), National Institutes of Health [Bethesda] (NIH), University of Copenhagen = Københavns Universitet (UCPH), Icahn School of Medicine at Mount Sinai [New York] (MSSM), The University of Texas Health Science Center at Houston (UTHealth), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Massachusetts General Hospital [Boston], Harvard T.H. Chan School of Public Health, Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), University of Mississippi Medical Center (UMMC), Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Alabama at Birmingham [ Birmingham] (UAB), University of Washington [Seattle], Universidade de São Paulo Medical School (FMUSP), Icelandic Heart Association [Kopavogur, Iceland] (IHA), University of Michigan [Ann Arbor], University of Michigan System, University of Georgia [USA], School of Public Health [Boston], Boston University [Boston] (BU), Wake Forest University, Pennington Biomedical Research Center, Louisiana State University (LSU), University of Edinburgh, University of Tartu, Imperial College London, University of Ioannina, Huazhong University of Science and Technology [Wuhan] (HUST), Helmholtz Zentrum München = German Research Center for Environmental Health, Fimlab Laboratories [Tampere, Finland], University of Tampere [Finland], Lausanne University Hospital, University of Groningen [Groningen], This project was supported by a grant from the US National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305). This research was supported in part by the Intramural Research Program of the National Human Genome Research Institute, National Institutes of Health. Tuomas O. Kilpeläinen was supported by the Danish Council for Independent Research (DFF–6110-00183) and the Novo Nordisk Foundation (NNF18CC0034900, NNF17OC0026848 and NNF15CC0018486). Diana van Heemst was supported by the European Commission funded project HUMAN (Health-2013-INNOVATION-1-602757). Susan Redline was supported in part by NIH R35HL135818 and HL11338., European Project: 602757,EC:FP7:HEALTH,FP7-HEALTH-2013-INNOVATION-1,HUMAN(2013), Epidemiology, Radiology & Nuclear Medicine, Internal Medicine, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, University of Copenhagen = Københavns Universitet (KU), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Helmholtz-Zentrum München (HZM), Van Duijn, CM, Wang, Heming [0000-0002-1486-7495], Bentley, Amy R [0000-0002-0827-9101], Schwander, Karen [0000-0002-0193-4134], Manning, Alisa [0000-0003-0247-902X], Aschard, Hugues [0000-0002-7554-6783], Richard, Melissa [0000-0003-0129-9860], de Las Fuentes, Lisa [0000-0002-4689-325X], Feitosa, Mary [0000-0002-0933-2410], van der Spek, Ashley [0000-0001-7136-0159], Wang, Zhe [0000-0002-8046-4969], Marten, Jonathan [0000-0001-6916-2014], Laville, Vincent [0000-0003-4946-698X], Evangelou, Evangelos [0000-0002-5488-2999], He, Meian [0000-0002-2096-921X], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Marques-Vidal, Pedro [0000-0002-4548-8500], Nolte, Ilja M [0000-0001-5047-4077], Palmer, Nicholette D [0000-0001-8883-2511], Snieder, Harold [0000-0003-1949-2298], Weiss, Stefan [0000-0002-3553-4315], Yanek, Lisa R [0000-0001-7117-1075], Adolfo, Correa [0000-0002-9501-600X], Dimou, Niki [0000-0003-1678-9328], Heikkinen, Sami [0000-0002-6083-2402], Ikram, M Arfan [0000-0003-0372-8585], Krieger, Jose E [0000-0001-5464-1792], Lee, Jiwon [0000-0002-4079-7494], Liu, Jingmin [0000-0003-0001-6013], Martin, Lisa W [0000-0003-4352-0914], Metspalu, Andres [0000-0002-3718-796X], Rensen, Patrick CN [0000-0002-8455-4988], Rich, Stephen S [0000-0003-3872-7793], Rotter, Jerome I [0000-0001-7191-1723], Sofer, Tamar [0000-0001-8520-8860], Taylor, Kent D [0000-0002-2756-4370], Uitterlinden, André G [0000-0002-7276-3387], van Dijk, Ko Willems [0000-0002-2172-7394], Elliott, Paul [0000-0002-7511-5684], Esko, Tõnu [0000-0003-1982-6569], Grabe, Hans J [0000-0003-3684-4208], Zheng, Wei [0000-0003-1226-070X], Bouchard, Claude [0000-0002-0048-491X], Gudnason, Vilmundur [0000-0001-5696-0084], Loos, Ruth JF [0000-0002-8532-5087], Cupples, L Adrienne [0000-0003-0273-7965], Munroe, Patricia B [0000-0002-4176-2947], Liu, Ching-Ti [0000-0002-0703-0742], Apollo - University of Cambridge Repository, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Home Office, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), and UK DRI Ltd
Subjects: Male, 0301 basic medicine, Epidemiology, General Physics and Astronomy, Genome-wide association study, Genome-wide association studies, Svefnrannsóknir, 0302 clinical medicine, MESH: Aged, 80 and over, Polymorphism (computer science), lcsh:Science, MESH: Phylogeny, Phylogeny, Aged, 80 and over, Genetics, MESH: Aged, [STAT.AP]Statistics [stat]/Applications [stat.AP], Multidisciplinary, MESH: Middle Aged, medicine.diagnostic_test, MESH: Polymorphism, Single Nucleotide, Chromosome Mapping, Middle Aged, Explained variation, Lipids, Sleep in non-human animals, Blóðfita, ddc, 3. Good health, MESH: Young Adult, Female, lipids (amino acids, peptides, and proteins), Erfðarannsóknir, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Adult, Adolescent, MESH: Sleep, Science, Biology, Polymorphism, Single Nucleotide, MESH: Genetic Loci, Article, General Biochemistry, Genetics and Molecular Biology, Young Adult, 03 medical and health sciences, Phylogenetics, Svefn, medicine, Humans, SNP, Dyslipidaemias, Aged, MESH: Adolescent, MESH: Humans, Faraldsfræði, PCSK9, MESH: Adult, General Chemistry, MESH: Lipids, MESH: Male, 030104 developmental biology, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Genetic Loci, lcsh:Q, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Sleep, Lipid profile, MESH: Chromosome Mapping, MESH: Female, 030217 neurology & neurosurgery
Abstract: Publisher's version (útgefin grein)., Both short and long sleep are associated with an adverse lipid profile, likely through different biological pathways. To elucidate the biology of sleep-associated adverse lipid profile, we conduct multi-ancestry genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c, LDL-c and triglycerides). In the total study sample (discovery + replication) of 126,926 individuals from 5 different ancestry groups, when considering either long or short total sleep time interactions in joint analyses, we identify 49 previously unreported lipid loci, and 10 additional previously unreported lipid loci in a restricted sample of European-ancestry cohorts. In addition, we identify new gene-sleep interactions for known lipid loci such as LPL and PCSK9. The previously unreported lipid loci have a modest explained variance in lipid levels: most notable, gene-short-sleep interactions explain 4.25% of the variance in triglyceride level. Collectively, these findings contribute to our understanding of the biological mechanisms involved in sleep-associated adverse lipid profiles., This project was supported by a grant from the US National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305). This research was supported in part by the Intramural Research Program of the National Human Genome Research Institute, National Institutes of Health. Tuomas O. Kilpeläinen was supported by the Danish Council for Independent Research (DFF–6110-00183) and the Novo Nordisk Foundation (NNF18CC0034900, NNF17OC0026848 and NNF15CC0018486). Diana van Heemst was supported by the European Commission funded project HUMAN (Health-2013-INNOVATION-1-602757). Susan Redline was supported in part by NIH R35HL135818 and HL11338. Study-specific acknowledgements can be found in the Supplementary Notes 2 and 4. The data on coronary artery disease have been contributed by the Myocardial Infarction Genetics and CARDIoGRAM investigators, and have been downloaded from www.CARDIOGRAMPLUSC4D.ORG.
Published: 2019
Full Text: View/download PDF

12. Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium

Author: Panos Deloukas, Christina-Alexandra Schulz, Caren E. Smith, Lu Qi, Mary F. Feitosa, Melissa E. Garcia, Natalia Pervjakova, Denise K. Houston, Michael A. Province, Stavroula Kanoni, Torben Hansen, Jean Shin, Lynda M. Rose, Oscar H. Franco, Yongmei Liu, Trudy Voortman, Marie-Claude Vohl, Luigi Ferrucci, Chloé Sarnowski, Paul S. de Vries, Jose C. Florez, John C. Lieske, Louis Pérusse, Misa Graff, Jian'an Luan, Nicola M. McKeown, Felix R. Day, L. Adrienne Cupples, Qibin Qi, Frank J. A. van Rooij, Robert A. Scott, Josée Dupuis, Stephen S. Rich, Jorma Viikari, Tarunveer S. Ahluwalia, Leo-Pekka Lyytikäinen, Paul M. Ridker, Tomáš Paus, Stephen Turner, Harri Rissanen, Audrey Y. Chu, Albert Hofman, Olli T. Raitakari, Paul Knekt, Daniel I. Chasman, Nita G. Forouhi, Vera Mikkilä, Toshiko Tanaka, Mika Kähönen, George Dedoussis, Minjung Kho, Yun J. Sung, Anne E. Justice, Julius S. Ngwa, Ani Manichaikul, M. Carola Zillikens, Jordi Merino, Dena G. Hernandez, Rozenn N. Lemaitre, Tao Huang, Sharon L.R. Kardia, Jing Hua Zhao, Stefania Bandinelli, Veikko Salomaa, Arne Astrup, Wei Zhao, David S. Siscovick, John Blangero, Zdenka Pausova, Dabeeru C. Rao, Oluf Pedersen, Craig E. Pennell, Wendy H. Oddy, Jose M. Ordovas, Jessica C. Kiefte-de Jong, Marju Orho-Melander, Hassan S. Dashti, Satu Männistö, Tuomo Rankinen, Constantina Papoutsakis, Sherly X. Li, Antti Jula, Kari E. North, Thorkild I. A. Sørensen, André G. Uitterlinden, Alexis C. Frazier-Wood, Nicholas J. Wareham, Ulrika Ericson, Markus Perola, Ioanna P. Kalafati, Renée de Mutsert, Jinyan Huang, Ruifang Li-Gao, Claudia Langenberg, Mike A. Nalls, Olivia Li, Joanne E. Curran, Dennis O. Mook-Kanamori, Niina Eklund, Jerome I. Rotter, Angelo Tremblay, Claude Bouchard, Jennifer A. Smith, Terho Lehtimäki, Mary K. Wojczynski, Carol A. Wang, Epidemiology, Internal Medicine, Zhao, Jing Hua [0000-0003-4930-3582], Luan, Jian'an [0000-0003-3137-6337], Day, Felix [0000-0003-3789-7651], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Forouhi, Nita [0000-0002-5041-248X], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Male, medicine.medical_specialty, Aging, Calorie, Genotype, Heart Diseases, Receptors, Retinoic Acid, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Locus (genetics), Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Article, White People, Cohort Studies, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Genetic variation, medicine, Humans, Genetic Predisposition to Disease, Obesity, Molecular Biology, Aged, 2. Zero hunger, Genetics, Family aggregation, Membrane Proteins, Genomics, Nutrients, Middle Aged, medicine.disease, 3. Good health, Fibroblast Growth Factors, Psychiatry and Mental health, 030104 developmental biology, Genetic Loci, Meta-analysis, Medical genetics, Female, Energy Intake, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Macronutrient intake, the proportion of calories consumed from carbohydrate, fat, and protein, is an important risk factor for metabolic diseases with significant familial aggregation. Previous studies have identified two genetic loci for macronutrient intake, but incomplete coverage of genetic variation and modest sample sizes have hindered the discovery of additional loci. Here, we expanded the genetic landscape of macronutrient intake, identifying 12 suggestively significant loci (P < 1 × 10(−6)) associated with intake of any macronutrient in 91,114 European ancestry participants. Four loci replicated and reached genome-wide significance in a combined meta-analysis including 123,659 European descent participants, unraveling two novel loci; a common variant in RARB locus for carbohydrate intake and a rare variant in DRAM1 locus for protein intake, and corroborating earlier FGF21 and FTO findings. In additional analysis of 144,770 participants from the UK Biobank, all identified associations from the two-stage analysis were confirmed except for DRAM1. Identified loci might have implications in brain and adipose tissue biology and have clinical impact in obesity-related phenotypes. Our findings provide new insight into biological functions related to macronutrient intake.
Published: 2019
Full Text: View/download PDF

13. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions

Author: Alexandre C. Pereira, Jie Yao, Makoto Hirata, Ozren Polasek, Dragana Vuckovic, Mariaelisa Graff, Jing Hua Zhao, Michael R. Brown, Xuan Deng, Barbara V. Howard, Vilmundur Gudnason, Tuomo Rankinen, Yuan Shi, Timo A. Lakka, Ulrich Broeckel, Anuradhani Kasturiratne, Eric Boerwinkle, Charles Kooperberg, Hugues Aschard, Stephen S. Rich, Pamela J. Schreiner, Dan E. Arking, Hans J. Grabe, Ilaria Gandin, Mario Sims, Carl D. Langefeld, Yii-Der Ida Chen, Meian He, W. James Gauderman, Bruce M. Psaty, Kent D. Taylor, Tõnu Esko, Olli T. Raitakari, Saima Afaq, Maik Pietzner, Federica Laguzzi, Dennis O. Mook-Kanamori, Gregory P. Wilson, Xiuqing Guo, Jaspal S. Kooner, David R. Jacobs, Yajuan Wang, Raha Pazoki, Wei Zhao, Andres Metspalu, Mary F. Feitosa, Jost B. Jonas, Tin Aung, Tamara B. Harris, Karin Leander, Nancy L. Pedersen, Charles B. Eaton, Sharon L.R. Kardia, Bernardo L. Horta, Candace M. Kammerer, Terrence Forrester, Alexander P. Reiner, Paul W. Franks, Tanika N. Kelly, Igor Rudan, Ruben N. Eppinga, Melissa A. Richard, Colin A. McKenzie, Christine Williams, Christian Gieger, Joseph H. Lee, Brigitte Kühnel, Christopher P. Nelson, Wen Bin Wei, Antonietta Robino, Anne U. Jackson, E. Shyong Tai, Alisa K. Manning, Lisa R. Yanek, Paul Elliott, Lynne E. Wagenknecht, Ananda R. Wickremasinghe, José Eduardo Krieger, Peter S. Sever, Nora Franceschini, André G. Uitterlinden, Paul M. Ridker, Yun J. Sung, Karen L. Mohlke, Thomas H. Mosley, Nilesh J. Samani, Patricia B. Munroe, Jennifer A. Smith, John M. C. Connell, H. Janaka de Silva, Nicholas Y. Q. Tan, Jian'an Luan, Jennifer E. Huffman, Anna F. Dominiczak, Carsten Oliver Schmidt, Christie M. Ballantyne, Peter J. van der Most, Anuj Goel, Jerome I. Rotter, Amy R. Bentley, Lihua Wang, Rajkumar Dorajoo, Lenore J. Launer, Yechiel Friedlander, Mickaël Canouil, Traci M. Bartz, Thomas Meitinger, Robert A. Scott, Mike A. Nalls, Xueling Sim, Sarah E. Harris, Michael A. Province, Chew-Kiat Heng, Zhe Wang, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Virginia Fisher, Leslie J. Raffel, Renée de Mutsert, Michele K. Evans, Brenda W.J.H. Penninx, Yih Chung Tham, Tin Louie, Nana Matoba, Lawrence F. Bielak, Andrea R. V. R. Horimoto, Jingmin Liu, Lynda M. Rose, Nona Sotoodehnia, Daniel I. Chasman, Jasmin Divers, John M. Starr, Patricia A. Peyser, Ervin R. Fox, Barry I. Freedman, Megan L. Grove, Jeffrey R. O'Connell, Rob M. van Dam, Michiaki Kubo, Jessica D. Faul, Fang-Chi Hsu, Yize Li, Ilja M. Nolte, Caroline Hayward, Paolo Gasparini, Chiea Chuen Khor, Changwei Li, Xu Chen, James E. Hixson, Patrik K. E. Magnusson, John C. Chambers, Yoichiro Kamatani, Sami Heikkinen, M. Abdullah Said, Martin Farrall, Alena Stančáková, Konstantin Strauch, Albert V. Smith, Yik Ying Teo, Bamidele O. Tayo, Tamar Sofer, Caizheng Yu, Maris Alver, Oscar H. Franco, Yongmei Liu, Ioanna Ntalla, Myriam Fornage, W. Craig Johnson, Dina Vojinovic, William R. Scott, David R. Weir, Yanick Hagemeijer, Raymond Noordam, Mathilde Boissel, Cornelia M. van Duijn, Karen Schwander, Jingzhong Ding, James Scott, Diana van Heemst, Ching-Yu Cheng, Woon-Puay Koh, Jianjun Liu, Kenneth J. Mukamal, Blair H. Smith, Claude Bouchard, Claudia Langenberg, Jingjing Liang, Wei Zheng, Najaf Amin, Ulf de Faire, Bing Yu, Archie Campbell, Kari E. North, Salman M. Tajuddin, Fernando Pires Hartwig, Steve B. Kritchevsky, Tibor V. Varga, Pirjo Komulainen, Hugh Watkins, Johanna Kuusisto, Kurt Lohman, Rozenn N. Lemaitre, Ani Manichaikul, Dabeeru C. Rao, Kenneth Rice, Weihua Zhang, Franco Giulianini, Reedik Mägi, Solomon K. Musani, Wanqing Wen, Nicholas J. Wareham, Charles N. Rotimi, Marzyeh Amini, Rainer Rauramaa, Nicholette D. Palmer, Annette Peters, Neil R Poulter, Benjamin Lehne, Matthias Nauck, Harold Snieder, Donald W. Bowden, M. Arfan Ikram, Lisa de las Fuentes, C. Charles Gu, Xiaofeng Zhu, Markku Laakso, Tuomas O. Kilpeläinen, Ching-Ti Liu, Michael Boehnke, Jin-Fang Chai, Lili Milani, L. Adrienne Cupples, Yuri Milaneschi, Kiang Liu, Stephen Sidney, Alan B. Zonderman, Thomas W. Winkler, Ian J. Deary, Fumihiko Takeuchi, Mary K. Wojczynski, Pim van der Harst, Leo-Pekka Lyytikäinen, Jennifer G. Robinson, Chuan Gao, Xiao-Ou Shu, Diane M. Becker, Mohsen Ghanbari, Alanna C. Morrison, Jian-Min Yuan, Tomohiro Katsuya, Ivana Kolcic, Melanie Waldenberger, Terho Lehtimäki, Heikki A. Koistinen, Erin B. Ware, Ya Xing Wang, Marie Loh, Treva Rice, Qing Duan, Aldi T. Kraja, Sabanayagam Charumathi, Tien Yin Wong, Paul S. de Vries, Yujie Wang, Muhammad Riaz, Home Office, Action on Hearing Loss, Imperial College Healthcare NHS Trust- BRC Funding, British Heart Foundation, Medical Research Council (MRC), Wellcome Trust, National Institute for Health Research, Luan, Jian'an [0000-0003-3137-6337], Pietzner, Maik [0000-0003-3437-9963], Zhao, Jing Hua [0000-0003-4930-3582], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, APH - Mental Health, Psychiatry, APH - Digital Health, The University of Texas Health Science Center at Houston (UTHealth), National Institutes of Health [Bethesda] (NIH), Washington University in Saint Louis (WUSTL), University of Regensburg, Queen Mary University of London (QMUL), Washington University School of Medicine in St. Louis, Harbor UCLA Medical Center [Torrance, Ca.], University of North Carolina at Chapel Hill (UNC), Singapore National Eye Centre and Duke-NUS [Singapore], Singapore Eye Research Institute [Singapore] (SERI), National University of Singapore (NUS), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), University Management, Department of Medicine, University of Helsinki, Endokrinologian yksikkö, HUS Abdominal Center, Lifelines Cohort, Groningen, The Netherlands (Lifelines Cohort Study), Epidemiology, Neurology, Radiology & Nuclear Medicine, Internal Medicine, Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), de Vries, Paul S, Brown, Michael R, Bentley, Amy R, Sung, Yun J, Winkler, Thomas W, Ntalla, Ioanna, Schwander, Karen, Kraja, Aldi T, Guo, Xiuqing, Franceschini, Nora, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Huffman, Jennifer E, Musani, Solomon K, Li, Changwei, Feitosa, Mary F, Richard, Melissa A, Noordam, Raymond, Aschard, Hugue, Bartz, Traci M, Bielak, Lawrence F, Deng, Xuan, Dorajoo, Rajkumar, Lohman, Kurt K, Manning, Alisa K, Rankinen, Tuomo, Smith, Albert V, Tajuddin, Salman M, Evangelou, Evangelo, Graff, Mariaelisa, Alver, Mari, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea R V R, Hsu, Fang-Chi, Jackson, Anne U, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Laguzzi, Federica, Lee, Joseph H, Luan, Jian'An, Lyytikäinen, Leo-Pekka, Matoba, Nana, Nolte, Ilja M, Pietzner, Maik, Riaz, Muhammad, Said, M Abdullah, Scott, Robert A, Sofer, Tamar, Stancáková, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O, van der Most, Peter J, Varga, Tibor V, Wang, Yajuan, Ware, Erin B, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E, Aung, Tin, Ballantyne, Christie, Boerwinkle, Eric, Broeckel, Ulrich, Campbell, Archie, Canouil, Mickaël, Charumathi, Sabanayagam, Chen, Yii-Der Ida, Connell, John M, de Faire, Ulf, de Las Fuentes, Lisa, de Mutsert, Renée, de Silva, H Janaka, Ding, Jingzhong, Dominiczak, Anna F, Duan, Qing, Eaton, Charles B, Eppinga, Ruben N, Faul, Jessica D, Fisher, Virginia, Forrester, Terrence, Franco, Oscar H, Friedlander, Yechiel, Ghanbari, Mohsen, Giulianini, Franco, Grabe, Hans J, Grove, Megan L, Gu, C Charle, Harris, Tamara B, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hixson, James E, Howard, Barbara V, Ikram, M Arfan, Jacobs, David R, Johnson, Craig, Jonas, Jost Bruno, Kammerer, Candace M, Katsuya, Tomohiro, Khor, Chiea Chuen, Kilpeläinen, Tuomas O, Koh, Woon-Puay, Koistinen, Heikki A, Kolcic, Ivana, Kooperberg, Charle, Krieger, Jose E, Kritchevsky, Steve B, Kubo, Michiaki, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lehne, Benjamin, Lemaitre, Rozenn N, Li, Yize, Liang, Jingjing, Liu, Jianjun, Liu, Kiang, Loh, Marie, Louie, Tin, Mägi, Reedik, Manichaikul, Ani W, Mckenzie, Colin A, Meitinger, Thoma, Metspalu, Andre, Milaneschi, Yuri, Milani, Lili, Mohlke, Karen L, Mosley, Thomas H, Mukamal, Kenneth J, Nalls, Mike A, Nauck, Matthia, Nelson, Christopher P, Sotoodehnia, Nona, O'Connell, Jeff R, Palmer, Nicholette D, Pazoki, Raha, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Poulter, Neil, Raffel, Leslie J, Raitakari, Olli T, Reiner, Alex P, Rice, Treva K, Rich, Stephen S, Robino, Antonietta, Robinson, Jennifer G, Rose, Lynda M, Rudan, Igor, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Sever, Peter, Shi, Yuan, Sidney, Stephen, Sims, Mario, Smith, Blair H, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Tan, Nichola, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G, van Heemst, Diana, Vuckovic, Dragana, Waldenberger, Melanie, Wang, Lihua, Wang, Yujie, Wang, Zhe, Wei, Wen Bin, Williams, Christine, Wilson, Gregory, Wojczynski, Mary K, Yao, Jie, Yu, Bing, 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, Horta, Bernardo L, Kamatani, Yoichiro, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Leander, Karin, Lehtimäki, Terho, Magnusson, Patrik K E, Penninx, Brenda, Pereira, Alexandre C, Rauramaa, Rainer, Samani, Nilesh J, Scott, Jame, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E, Wang, Ya Xing, Wareham, Nicholas J, Watkins, Hugh, Weir, David R, Wickremasinghe, Ananda R, Zheng, Wei, Elliott, Paul, North, Kari E, Bouchard, Claude, Evans, Michele K, Gudnason, Vilmundur, Liu, Ching-Ti, Liu, Yongmei, Psaty, Bruce M, Ridker, Paul M, van Dam, Rob M, Kardia, Sharon L R, Zhu, Xiaofeng, Rotimi, Charles N, Mook-Kanamori, Dennis O, Fornage, Myriam, Kelly, Tanika N, Fox, Ervin R, Hayward, Caroline, van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Liu, Jingmin, Rotter, Jerome I, Gauderman, W Jame, Province, Michael A, Munroe, Patricia B, Rice, Kenneth, Chasman, Daniel I, Cupples, L Adrienne, Rao, Dabeeru C, Morrison, Alanna C, and Academic Medical Center
Subjects: Male, Epidemiology, Genome-wide association study, Cardiovascular, MESH: Genotype, Substance Misuse, Alcohol Use and Health, 0302 clinical medicine, Aetiology, triglycerides, 11 Medical and Health Sciences, Public, Environmental & Occupational Health, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Middle Aged, MESH: Life Style, genome wide, gene-alcohol interaction, lipid levels, Lipid Measurement, Lifelines Cohort, DENSITY-LIPOPROTEIN CHOLESTEROL, MESH: Young Adult, 030220 oncology & carcinogenesis, Kexin, LOW-FREQUENCY, MESH: Cholesterol, HDL, MESH: Cholesterol, LDL, MESH: Triglycerides, HDL, Alcohol Drinking, Genotype, alcohol consumption, MESH: Phenotype, LDL, lipids, 03 medical and health sciences, Genetics, Humans, Life Style, METAANALYSIS, 01 Mathematical Sciences, Aged, MESH: Adolescent, HDL CHOLESTEROL, MESH: Humans, Science & Technology, Cholesterol, APOBEC1, Lifelines Cohort, Groningen, The Netherlands (Lifelines Cohort Study), MESH: Vascular Endothelial Growth Factor B, Racial Groups, cholesterol, The Netherlands, MESH: Adult, CONSUMPTION, chemistry, MESH: Genome-Wide Association Study, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Lipid profile, MESH: Female, MESH: Alcohol Drinking, MESH: Continental Population Groups, Vascular Endothelial Growth Factor B, Original Contributions, Blood lipids, VEGF-B, Medical and Health Sciences, Mathematical Sciences, BLOOD-LIPIDS, chemistry.chemical_compound, 2.1 Biological and endogenous factors, 030212 general & internal medicine, MESH: Aged, medicine.diagnostic_test, PLASMA, gene-environment interactions, Middle Aged, 3142 Public health care science, environmental and occupational health, Alcoholism, Phenotype, Female, gene-lifestyle interactions, genome-wide association studies, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Life Sciences & Biomedicine, Groningen, Adult, Adolescent, Biology, Young Adult, medicine, CORONARY-HEART-DISEASE, Human Genome, Cholesterol, HDL, Lipid metabolism, Cholesterol, LDL, InterAct Consortium, MESH: Lipids, MESH: Male, INDIVIDUALS, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Genome-Wide Association Study
Abstract: © The Author(s) 2019. A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-Alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394,584 individuals from 5 ancestry groups. Analyses covered the period July 2014-November 2017. Genetic main effects and interaction effects were jointly assessed by means of a 2- degrees-of-freedom (df) test, and a 1-df test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10?6) with lipid levels in stage 1 and were evaluated in stage 2, followed by combined analyses of stage 1 and stage 2. In the combined analysis of stages 1 and 2, a total of 147 independent loci were associated with lipid levels at P < 5 × 10?8 using 2-df tests, of which 18 were novel. No genome-wide-significant associations were found testing the interaction effect alone. The novel loci included several genes (proprotein convertase subtilisin/kexin type 5 (PCSK5), vascular endothelial growth factor B (VEGFB), and apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 (APOBEC1) complementation factor (A1CF)) that have a putative role in lipid metabolism on the basis of existing evidence from cellular and experimental models. National Heart, Lung, and Blood Institute; American Heart Association Grant
Published: 2019
Full Text: View/download PDF

14. Associations between SLC16A11 variants and diabetes in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

Author: Adam A. Szpiro, Jerome I. Rotter, Kari E. North, Bertha Hidalgo, M. Larissa Avilés-Santa, George J. Papanicolaou, Qibin Qi, Neil Schneiderman, Adrienne M. Stilp, Donna K. Arnett, Jianwen Cai, Bing Yu, Cathy C. Laurie, Robert C. Kaplan, Eric Boerwinkle, Tamar Sofer, and Y.-D. Ida Chen
Subjects: 0301 basic medicine, Monocarboxylic Acid Transporters, Ethnic group, lcsh:Medicine, Genome-wide association study, Type 2 diabetes, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, 0302 clinical medicine, Clinical Research, Genotype, Diabetes Mellitus, Genetics, medicine, 2.1 Biological and endogenous factors, SNP, Humans, Genetic Predisposition to Disease, Polymorphism, Aetiology, Allele, lcsh:Science, Metabolic and endocrine, Genetic Association Studies, Nutrition, Multidisciplinary, Genetic heterogeneity, Prevention, Diabetes, Haplotype, lcsh:R, Single Nucleotide, Hispanic or Latino, medicine.disease, United States, 3. Good health, 030104 developmental biology, Diabetes Mellitus, Type 2, Haplotypes, lcsh:Q, Type 2, 030217 neurology & neurosurgery, Demography
Abstract: Five sequence variants in SLC16A11 (rs117767867, rs13342692, rs13342232, rs75418188, and rs75493593), which occur in two non-reference haplotypes, were recently shown to be associated with diabetes in Mexicans from the SIGMA consortium. We aimed to determine whether these previous findings would replicate in the HCHS/SOL Mexican origin group and whether genotypic effects were similar in other HCHS/SOL groups. We analyzed these five variants in 2492 diabetes cases and 5236 controls from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), which includes U.S. participants from six diverse background groups (Mainland groups: Mexican, Central American, and South American; and Caribbean groups: Puerto Rican, Cuban, and Dominican). We estimated the SNP-diabetes association in the six groups and in the combined sample. We found that the risk alleles occur in two non-reference haplotypes in HCHS/SOL, as in the SIGMA Mexicans. The haplotype frequencies were very similar between SIGMA Mexicans and the HCHS/SOL Mainland groups, but different in the Caribbean groups. The SLC16A11 sequence variants were significantly associated with risk for diabetes in the Mexican origin group (P = 0.025), replicating the SIGMA findings. However, these variants were not significantly associated with diabetes in a combined analysis of all groups, although the power to detect such effects was 85% (assuming homogeneity of effects among the groups). Additional analyses performed separately in each of the five non-Mexican origin groups were not significant. We also analyzed (1) exclusion of young controls and, (2) SNP by BMI interactions, but neither was significant in the HCHS/SOL data. The previously reported effects of SLC16A11 variants on diabetes in Mexican samples was replicated in a large Mexican-American sample, but these effects were not significant in five non-Mexican Hispanic/Latino groups sampled from U.S. populations. Lack of replication in the HCHS/SOL non-Mexicans, and in the entire HCHS/SOL sample combined may represent underlying genetic heterogeneity. These results indicate a need for future genetic research to consider heterogeneity of the Hispanic/Latino population in the assessment of disease risk, but add to the evidence suggesting SLC16A11 as a potential therapeutic target for type 2 diabetes.
Published: 2019
Full Text: View/download PDF

15. Discrimination and Leukocyte Telomere Length by Depressive Symptomatology: The Jackson Heart Study

Author: Crystal W. Cené, Samson Y. Gebreab, David R. Williams, Mario Sims, Kari E. North, Alexander P. Reiner, and LáShauntá M. Glover
Subjects: Coping (psychology), medicine.medical_specialty, Waist, Leadership and Management, Health Informatics, Article, Depressive symptomatology, leukocyte telomere length, 03 medical and health sciences, 0302 clinical medicine, depressive symptoms, Health Information Management, Epidemiology, Medicine, 030212 general & internal medicine, Depressive symptoms, Multivariable linear regression, business.industry, Health Policy, Stressor, African American adults, business, Psychosocial, 030217 neurology & neurosurgery, Demography, discrimination
Abstract: Background: Psychosocial stressors, such as perceived discrimination and depressive symptoms, may shorten telomeres and exacerbate aging-related illnesses. Methods: Participants from the Jackson Heart Study at visit 1 (2000–2004) with LTL data and Center for Epidemiological Studies-Depression (CES-D) scores (n = 580 men, n = 910 women) were utilized. The dimensions of discrimination scores (everyday, lifetime, burden of lifetime, and stress from lifetime discrimination) were standardized and categorized as low, moderate, and high. Coping responses to everyday and lifetime discrimination were categorized as passive and active coping. Multivariable linear regression analyses were performed to estimate the mean difference (standard errors-SEs) in LTL by dimensions of discrimination and coping responses stratified by CES-D scores &lt, 16 (low) and ≥ 16 (high) and sex. Covariates were age, education, waist circumference, smoking and CVD status. Results: Neither everyday nor lifetime discrimination was associated with mean differences in LTL for men or women by levels of depressive symptoms. Burden of lifetime discrimination was marginally associated with LTL among women who reported low depressive symptoms after full adjustment (b = 0.11, SE = 0.06, p = 0.08). Passive coping with lifetime discrimination was associated with longer LTL among men who reported low depressive symptoms after full adjustment (b = 0.18, SE = 0.09, p &lt, 0.05), and active coping with lifetime discrimination was associated with longer LTL among men who reported high depressive symptoms after full adjustment (b = 1.18, SE = 0.35, p &lt, 0.05). Conclusions: The intersection of perceived discrimination and depressive symptomatology may be related to LTL, and the effects may vary by sex.
Published: 2021

16. The trans-ancestral genomic architecture of glycemic traits

Author: Albertine J. Oldehinkel, Wieland Kiess, Xueling Sim, Norihiro Kato, Philippe Froguel, Astrid van Hylckama Vlieg, Josée Dupuis, Nanette R. Lee, Symen Ligthart, Harry Campbell, Marta E. Alarcón-Riquelme, P. Eline Slagboom, Massimo Mangino, Tian Xie, Niek Verweij, James B. Meigs, Chaolong Wang, Michael Y. Tsai, Erik Ingelsson, Colin N. A. Palmer, Erik B. van den Akker, Fumihiko Matsuda, Rainer Rauramaa, Yi-Cheng Chang, Lars Lind, Stefan R. Bornstein, Mandy Vogel, Sven Bergmann, Ya X. Wang, Ching-Ti Liu, Annette Schürmann, Michael Boehnke, David J. Porteous, Kazuya Setoh, Qibin Qi, Ayse Demirkan, Francesco Cucca, Allan Linneberg, Claire J. Steves, Jun Liu, Leslie A. Lange, Noël P. Burtt, Diana Kuh, Cassandra N. Spracklen, Ken K. Ong, Charumathi Sabanayagam, Jost B. Jonas, Ele Ferrannini, Lawrence J. Beilin, Qing Duan, Blair H. Smith, Isobel D. Stewart, Alexander P. Reiner, Simon P. Mooijaart, Tim D. Spector, Paul W. Franks, E. Shyong Tai, Mark I. McCarthy, Anna L. Gloyn, D.I. Boomsma, Dennis Raven, Nicholas J. Timpson, Rona J. Strawbridge, George Dedoussis, Susan Redline, Jaeyoung Hong, Harald Grallert, Jagadish Vangipurapu, Rico Rueedi, Diane M. Becker, Marian Beekman, Claudia P. Cabrera, Johannes Waage, Jin Fang Chai, Yii-Der Ida Chen, Graciela E. Delgado, Thibaud S. Boutin, Yang Hai, Yoriko Heianza, Wei Zhao, Andres Metspalu, Tien Yin Wong, Mila Desi Anasanti, Inger Njølstad, Hans Bisgaard, Valeriya Lyssenko, Denis Rybin, Wanqing Wen, Torben Hansen, James F. Wilson, Sameline Grimsgaard, Annette Peters, Michele K. Evans, Damia Noce, Sarah C. Nelson, May E. Montasser, Nan Wang, Geltrude Mingrone, Gudny Eiriksdottir, Nicholas J. Wareham, Fouad Kandeel, Linda S. Adair, Kelvin Lam, Jaana Lindström, Eco J. C. de Geus, Debbie A Lawlor, Sara M. Willems, Xu Lin, Harold Snieder, Matt J. Neville, Naveed Sattar, Chelsea K. Raulerson, Paul M. Ridker, Jer-Yuarn Wu, Weihua Zhang, H. Janaka de Silva, Jana V. van Vliet-Ostaptchouk, Elena Tremoli, Toru Nabika, Jing Hua Zhao, Vilmundur Gudnason, Tao Huang, Robert C. Kaplan, Sohee Han, Mohammad Hadi Zafarmand, Aaron Leong, Yen-Feng Chiu, Kumaraswamy Naidu Chitrala, Ivana Kolcic, Franco Giulianini, Tao Wang, Lu Qi, Stephan J. L. Bakker, Laura J Corbin, Zoltán Kutalik, Bruna Gigante, Willa A. Hsueh, Peter J. van der Most, Tin Louie, Yujie Wang, Stella Trompet, Fernando Rivideneira, Yasumasa Ohyagi, Lynne E. Wagenknecht, Jerry L. Nadler, Michael Stumvoll, Mark O. Goodarzi, Sahoko Ichihara, Jeffrey R. O'Connell, Tomohiro Katsuya, Giorgio Pistis, Alice Stanton, Sirkka Keinänen-Kiukaanniemi, Momoko Horikoshi, Honglan Li, Tanja G. M. Vrijkotte, Caroline Hayward, Karen L. Mohlke, Carola Marzi, Girish N. Nadkarni, Laura J. Rasmussen-Torvik, Alain G. Bertoni, Andrew R. Wood, Annique Claringbould, Mi Yeong Hwang, Hugh Watkins, Heikki A. Koistinen, Mattias Frånberg, Jani Heikkinen, Elizabeth Selvin, Donald W. Bowden, Abbas Dehghan, Christian Fuchsberger, Audrey Y. Chu, Kent D. Taylor, Katherine A. Kentistou, Johanna Kuusisto, Jingyi Tan, Huaixing Li, Eric Boerwinkle, Catharina A. Hartman, Archie Campbell, Kari E. North, Oluf Pedersen, Sölve Elmståhl, Emil V. R. Appel, Chang-Hsun Hsieh, Dennis O. Mook-Kanamori, Rob M. van Dam, Pontiano Kaleebu, Corri Black, Jennifer A. Brody, Bengt Sennblad, Shaofeng Huo, M. Larissa Avilés-Santa, Ruth J. F. Loos, Patricia B. Munroe, Chien-Hsiun Chen, Liang Sun, Zorayr Arzumanyan, Rebecca Rohde, Yasuharu Tabara, Albert V. Smith, Betina H. Thuesen, Niels Grarup, Jorgen Engmann, Tatijana Zemunik, M. Arfan Ikram, Marit E. Jørgensen, Christian Herder, Ching-Yu Cheng, Serena Sanna, Damiano Baldassarre, Tarunveer S. Ahluwalia, Mark J. Caulfield, Anne Ndungu, Carl D. Langefeld, Lisa R. Yanek, Luigi Ferrucci, Ananda R. Wickremasinghe, Raymond Noordam, Trevor A. Mori, Tom Wilsgaard, Mika Kivimäki, Rita R. Kalyani, Alan B. Zonderman, Veronique Vitart, Patricia A. Peyser, Shuiqing Lai, Richa Saxena, Li-Ching Chang, Karin Leander, Wei Huang, Peter Vollenweider, Tanya M. Teslovich, Ying Wu, Shufa Du, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Stephen C. J. Parker, Tamar Sofer, Winfried März, Sharon L.R. Kardia, Peter K. Joshi, Neil R. Robertson, Anny H. Xiang, Fumihiko Takeuchi, N. Amin, Jouke-Jan Hottenga, Carol A. Wang, Stefan Gustafsson, Jung Ho Gong, Penny Gordon-Larsen, Yu-Tang Gao, Abhishek Nag, Gonneke Willemsen, Michael A. Province, Aliki-Eleni Farmaki, Segun Fatumo, Antje Körner, Pim van der Harst, Marie Loh, Kei Hang Katie Chan, Gonçalo R. Abecasis, Nicholette D. Palmer, Simin Liu, Ishminder K. Kooner, Javier Gayán, Arne Astrup, Laura J. Scott, Erwin P. Bottinger, Andrew Wong, Inga Prokopenko, Ping An, Markku Laakso, Matthias Blüher, Susan R. Heckbert, Thomas A. Buchanan, Tatsuaki Matsubara, Andrew P. Morris, Brian H. Chen, Kristi Läll, Teresa Tusie, Timo A. Lakka, Jie Yao, Michael Preuss, Teemu Kuulasmaa, Carlos Lorenzo, Stephen S. Rich, Marie Lauzon, Laura M. Raffield, Pankow S. James, Takahisa Kawaguchi, Kathleen A. Ryan, Wei Zheng, Igor Rudan, Thomas Sparsø, Hugoline G. de Haan, Sandosh Padmanabhan, Richard M. Watanabe, Alicia Huerta-Chagoya, Anette P. Gjesing, Andrew A. Hicks, Richard N. Bergman, Mitsuhiro Yokota, Heather M. Stringham, Bruce M. Psaty, Jian'an Luan, Anuj Goel, Eleanor Wheeler, Masahiro Nakatochi, Young-Jin Kim, Xiao-Ou Shu, Mickaël Canouil, Robert A. Scott, Marika Kaakinen, Mari Nelis, Adolfo Correa, Jaspal S. Kooner, Michiya Igase, Anubha Mahajan, Peter E. H. Schwarz, Craig E. Pennell, Claudia Schurmann, Xiaoran Chai, Ji Chen, Lori L. Bonnycastle, Peter S. Sever, Thorkild I. A. Sørensen, André G. Uitterlinden, Ilja M. Nolte, Gaëlle Marenne, Timothy M. Frayling, Bong-Jo Kim, Kerrin S. Small, Cecilia M. Lindgren, Bernhard O. Böhm, Shih-Yi Lin, Katharina E. Schraut, Cornelia M. van Duijn, Sanghoon Moon, Mark Walker, Chiea Chuen Khor, Ruifang Li-Gao, Qiuyin Cai, Neil Schneiderman, Ko Willems van Dijk, Ozren Polasek, W. Craig Johnson, Dermot F. Reilly, Inês Barroso, Anke Tönjes, Manjinder S. Sandhu, Wen B. Wei, Jose C. Florez, Lorraine Southam, Leif Groop, Lawrence F. Bielak, Peter Kovacs, Jianjun Liu, Jouko Saramies, Helen R. Warren, Man Li, Daniel I. Chasman, Eleftheria Zeggini, Xiaoshuai Zhang, Loic Yengo, Shi Jinxiu, Jirong Long, Xiuqing Guo, Meena Kumari, Leslie J. Raffel, Jill M. Norris, Henrik Vestergaard, Jing He, Peter P. Pramstaller, Diana van Heemst, Kevin Sandow, Marjo-Ritta Jarvelin, Carlos A. Aguilar-Salinas, Peitao Wu, Hortensia Moreno-Macías, Jerome I. Rotter, Kathryn Roll, Frits R. Rosendaal, Bernardo L. Horta, Heming Wang, Fernando Pires Hartwig, Richard A. Jensen, Matti Uusitupa, Rozenn N. Lemaitre, Paul R. H. J. Timmers, Timo Saaristo, Jaakko Tuomilehto, Reedik Mägi, Debashree Ray, J. Wouter Jukema, Claudia Langenberg, Marcus E. Kleber, Francis S. Collins, Klaus Bønnelykke, Lenore J. Launer, Arushi Varshney, Anders Hamsten, European Commission, Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) (GGB), Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Sanger Institute, Wellcome Trust, Marenne, Gaëlle [0000-0002-4363-7170], Varshney, Arushi [0000-0001-9177-9707], Corbin, Laura J [0000-0002-4032-9500], Parker, Stephen CJ [0000-0001-8122-0117], Langenberg, Claudia [0000-0002-5017-7344], Wheeler, Eleanor [0000-0002-8616-6444], Morris, Andrew P [0000-0002-6805-6014], Barroso, Inês [0000-0001-5800-4520], Apollo - University of Cambridge Repository, Lifelines Cohort Study, Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC), de Haan, H.G., van den Akker, E., van der Most, P.J., de Geus, EJC, van Dam, R.M., van Heemst, D., van Hylckama Vlieg, A., van Willems van Dijk, K., de Silva, H.J., van der Harst, P., van Duijn, C., Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Institute for Molecular Medicine Finland, Leif Groop Research Group, HUS Internal Medicine and Rehabilitation, Department of Medicine, Department of Biochemistry and Developmental Biology, Helsinki University Hospital Area, University of Helsinki, Clinicum, Department of Public Health, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Physiology, AMS - Musculoskeletal Health, AMS - Tissue Function & Regeneration, APH - Mental Health, Nutrition and Health, APH - Methodology, Epidemiology and Data Science, ACS - Atherosclerosis & ischemic syndromes, APH - Aging & Later Life, ARD - Amsterdam Reproduction and Development, Public and occupational health, Epidemiology, Internal Medicine, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Center for Liver, Digestive and Metabolic Diseases (CLDM), and Cardiovascular Centre (CVC)
Subjects: Blood Glucose, Disease risk, Multifactorial Inheritance, Glycated Hemoglobin A, [SDV]Life Sciences [q-bio], Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC), LOCI, Genome-wide association study, Type 2 diabetes, VARIANTS, GLUCOSE, Epigenesis, Genetic, chemistry.chemical_compound, 0302 clinical medicine, Mechanisms, WIDE ASSOCIATION, genetics, Gene-expression, HEMOGLOBIN, ComputingMilieux_MISCELLANEOUS, 11 Medical and Health Sciences, GENE-EXPRESSION, Genetics, Genetics & Heredity, 0303 health sciences, INSULIN-RESISTANCE, Genome, Loci, 1184 Genetics, developmental biology, physiology, Variants, ALSPAC, Physical Chromosome Mapping, Life Sciences & Biomedicine, Human, Quantitative Trait Loci, Wide association study, Biology, Quantitative trait locus, Article, White People, diseases, MECHANISMS, Quantitative Trait, 03 medical and health sciences, Insulin resistance, Quantitative Trait, Heritable, SDG 3 - Good Health and Well-being, Genetic, Lifelines Cohort Study, Diabetes mellitus, medicine, Humans, Hemoglobin, Heritable, METAANALYSIS, Alleles, 030304 developmental biology, Genetic association, Glycemic, Glycated Hemoglobin, Science & Technology, Genome, Human, Whites, Gene Expression Profiling, DISEASE RISK, Settore MED/13 - ENDOCRINOLOGIA, Insulin-resistance, 06 Biological Sciences, medicine.disease, Glucose, chemistry, Blood Glucose/genetics, European Continental Ancestry Group/genetics, Genome-Wide Association Study, Glycated Hemoglobin A/metabolism, Multifactorial Inheritance/genetics, Quantitative Trait Loci/genetics, Glycated hemoglobin, 030217 neurology & neurosurgery, Meta analysis, Epigenesis, Developmental Biology
Abstract: Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P-8), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.
Published: 2021
Full Text: View/download PDF

17. A system for phenotype harmonization in the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) program

Author: Tanika N. Kelly, May E Montasser, Alyna T. Khan, Laura M. Raffield, Carla Wilson, Elizabeth C. Oelsner, Kerri L. Wiggins, Ming-Huei Chen, Gina M. Peloso, Adolfo Correa, Andrew D. Johnson, Donna K. Arnett, Xiuqing Guo, Jai G. Broome, Daniel E. Weeks, Rebecca D. Jackson, Lucia Juarez, Stephen T. McGarvey, Pradeep Natarajan, Braxton D. Mitchell, Kent D. Taylor, Bruce M. Psaty, Santhi K Ganesh, Cathy C. Laurie, Nicola L. Hawley, Leslie S. Emery, Adrienne M. Stilp, Alanna C. Morrison, Jennifer A Smith, Charles Kooperberg, Catherine M. D’Augustine, Jan Graffelman, Paul S. de Vries, Chancellor Hohensee, Sharon L R Kardia, Patricia A Peyser, Wan-Ling Hsu, Erin J Buth, Kathleen C. Barnes, Susan R. Heckbert, Ramachandran S. Vasan, Nathan Pankratz, Karen M. Mutalik, Quenna Wong, Brian E. Cade, Jingmin Liu, Joshua C. Bis, Cecelia A. Laurie, Kari E. North, Fei Fei Wang, Mariza de Andrade, Nancy L. Heard-Costa, William Craig Johnson, L. Adrienne Cupples, Scott T. Weiss, Seyed Mehdi Nouraie, Patrick T. Ellinor, Jerome I. Rotter, Weiniu Gan, Shannon Kelly, Stephen S. Rich, Cashell E. Jaquish, Dongquan Chen, Nora Franceschini, Lisa R. Yanek, Jiwon Lee, Alexander P. Reiner, Megan L. Grove, Stella Aslibekyan, Myriam Fornage, Lawrence F Bielak, Rasika A. Mathias, Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa, and Universitat Politècnica de Catalunya. COSDA-UPC - COmpositional and Spatial Data Analysis
Subjects: 0301 basic medicine, Program evaluation, Computer science, Epidemiology, common data elements, hematologic disease, Matemàtiques i estadística::Matemàtica aplicada a les ciències [Àrees temàtiques de la UPC], Medical and Health Sciences, Mathematical Sciences, 0302 clinical medicine, Documentation, cardiovascular disease, and Blood Institute (U.S.), 030212 general & internal medicine, Phenomics, Precision Medicine, Lung, lung diseases, Sleep-wake disorders, phenotypes, 92 Biology and other natural sciences::92B Mathematical biology in general [Classificació AMS], Common data elements, Cardiovascular disease, Phenotype, Phenotypes, Biomatemàtica, Information Dissemination, Harmonization, 62 Statistics::62D05 Sampling theory, sample surveys [Classificació AMS], Hematologic disease, 03 medical and health sciences, Data Aggregation, Clinical Research, Controlled vocabulary, Genetics, Humans, AcademicSubjects/MED00860, sleep-wake disorders, Sampling (Statistics), Genetic Association Studies, Lung diseases, Biomathematics, Data collection, Study Design, Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària [Àrees temàtiques de la UPC], Information dissemination, Human Genome, National Heart, Precision medicine, Data science, United States, 030104 developmental biology, Good Health and Well Being, National Heart, Lung, and Blood Institute (U.S.), Mostreig (Estadística), Program Evaluation
Abstract: Genotype-phenotype association studies often combine phenotype data from multiple studies to increase statistical power. Harmonization of the data usually requires substantial effort due to heterogeneity in phenotype definitions, study design, data collection procedures, and data-set organization. Here we describe a centralized system for phenotype harmonization that includes input from phenotype domain and study experts, quality control, documentation, reproducible results, and data-sharing mechanisms. This system was developed for the National Heart, Lung, and Blood Institute’s Trans-Omics for Precision Medicine (TOPMed) program, which is generating genomic and other -omics data for more than 80 studies with extensive phenotype data. To date, 63 phenotypes have been harmonized across thousands of participants (recruited in 1948–2012) from up to 17 studies per phenotype. Here we discuss challenges in this undertaking and how they were addressed. The harmonized phenotype data and associated documentation have been submitted to National Institutes of Health data repositories for controlled access by the scientific community. We also provide materials to facilitate future harmonization efforts by the community, which include 1) the software code used to generate the 63 harmonized phenotypes, enabling others to reproduce, modify, or extend these harmonizations to additional studies, and 2) the results of labeling thousands of phenotype variables with controlled vocabulary terms.
Published: 2021

18. Genetic studies of leptin concentrations implicate leptin in the regulation of early adiposity

Author: Daniel I. Chasman, Torben Hansen, Rebecca S. Fine, Kari E. North, Harald Grallert, Jeffrey Haesser, Jie Yao, Arund D. Pradhan, Peter Kovacs, Mariaelisa Graff, Rebecca D. Jackson, Zoltán Kutalik, James G. Wilson, Neil Robertson, Mika Kähönen, Linda S. Adair, Jennifer Kriebel, Ruth J. F. Loos, Massimo Mangino, Jayne F. Martin Carli, Yiying Zhang, M. Arfan Ikram, Paraskevi Christofidou, Linda Broer, Paul M. Ridker, Barbara McKnight, Satu Männistö, Sophia Metz, Tea Skaaby, Jette Bork-Jensen, Craig E. Pennell, Sophie Molnos, Michael A. Province, Xiuqing Guo, Laura B. L. Wittemans, Stephen J. Lye, Cornelia M. van Duijn, Samuli Ripatti, Ko Willems van Dijk, Tim Kacprowski, America A. Sandoval-Zárate, Hermina Jakupović, Tuomas O. Kilpeläinen, Michael Preuss, Jaeyoung Hong, Cristina Venturini, Ying Wu, Germán D. Carrasquilla, Ivana Prokic, Mary F. Feitosa, Melissa E. Garcia, Paul L. Auer, Leslie A. Lange, Leo-Pekka Lyytikäinen, Kristin L. Young, Tugce Karaderi, Alexander P. Reiner, Tim D. Spector, Anubha Mahajan, Claudia Schurmann, Jerome I. Rotter, Rudolph L. Leibel, Georg Homuth, Claudia A. Doege, Hakon Hakonarson, Nicholas J. Wareham, Najaf Amin, Shuai Wang, Matthias Blüher, Ayse Demirkan, Andrew P. Morris, Charles A. LeDuc, Claudia Langenberg, Hanieh Yaghootkar, Mike A. Nalls, Erik Ingelsson, Dennis O. Mook-Kanamori, Jorge R. Kizer, Carolina Medina-Gomez, Timothy M. Frayling, Colleen M. Sitlani, David A. Mackey, Bruce M. Psaty, Matthias Nauck, Struan F.A. Grant, Konstantin Strauch, Olli T. Raitakari, Alexander Teumer, Mark Walker, Jonathan P. Bradfield, Judith B. Borja, Karen L. Mohlke, Lars Lind, André G. Uitterlinden, Renée de Mutsert, Ruifang Li-Gao, Cassandra N. Spracklen, Jin Li, Anne E. Justice, Cecilia M. Lindgren, Kaiying Guo, Terho Lehtimäki, Pekka Jousilahti, Yingchang Lu, Yii-Der Ida Chen, Sara M. Willems, Tamara B. Harris, Matthew A. Allison, Carol A. Wang, Niels Grarup, Lam Opal Huang, Veikko Salomaa, Jian'an Luan, Robert A. Scott, Kent D. Taylor, James B. Meigs, Ophthalmology, Epidemiology, Internal Medicine, Clinical Genetics, Department of Organisation and Personnel Management, Health Services Management & Organisation (HSMO), Yaghootkar, Hanieh [0000-0001-9672-9477], Kilpeläinen, Tuomas O [0000-0002-8349-3028], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Leptin, Models, Molecular, medicine.medical_specialty, Genotype, Protein Conformation, Endocrinology, Diabetes and Metabolism, 030209 endocrinology & metabolism, Genome-wide association study, KLF14, Biology, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Internal Medicine, medicine, Missense mutation, Humans, Allele, Exome, Adiposity, 2. Zero hunger, Racial Groups, digestive, oral, and skin physiology, Gene Expression Regulation, Developmental, Genetic Variation, Genetics/Genomes/Proteomics/Metabolomics, medicine.disease, Obesity, 030104 developmental biology, Endocrinology, 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 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 identify five novel variants, including four missense variants, in LEP, ZNF800, KLHL31, and ACTL9, and one intergenic variant near KLF14. The missense variant Val94Met (rs17151919) in LEP was common in individuals of African ancestry only and its association with lower leptin concentrations was specific to this ancestry (P=2x10-16, n=3,901). Using in vitro analyses, we show that the Met94 allele decreases leptin secretion. We also show that the Met94 allele is associated with higher BMI in young African-ancestry children but not in adults, suggesting leptin regulates early adiposity.
Published: 2020

19. Large trans-ethnic meta-analysis identifies AKR1C4 as a novel gene associated with age at menarche

Author: Jirong Long, Nora Franceschini, Charles Kooperberg, Eric Boerwinkle, Julie R. Palmer, Laura M. Raffield, Guochong Jia, Lindsay Fernández-Rhodes, Wei Zheng, K. L. Lunetta, Tamar Sofer, Robert B. Wallace, Diana L. Cousminer, Quenna Wong, Joanne M. Murabito, Leslie A. Lange, Babette S. Zemel, Struan F.A. Grant, Ran Tao, Chloé Sarnowski, Jonathan P. Bradfield, Gary Zirpoli, Kari E. North, Hakon Hakonarson, and Adolfo Correa
Subjects: Adolescent, Ethnic group, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Cohort Studies, 03 medical and health sciences, Race (biology), 0302 clinical medicine, Ethnicity, Humans, 030304 developmental biology, Genetic association, Menarche, 0303 health sciences, Rehabilitation, Obstetrics and Gynecology, Original Articles, Biobank, Reproductive Medicine, 030220 oncology & carcinogenesis, Meta-analysis, Female, Demography, Cohort study, Genome-Wide Association Study
Abstract: STUDY QUESTIONDoes the expansion of genome-wide association studies (GWAS) to a broader range of ancestries improve the ability to identify and generalise variants associated with age at menarche (AAM) in European populations to a wider range of world populations?SUMMARY ANSWERBy including women with diverse and predominantly non-European ancestry in a large-scale meta-analysis of AAM with half of the women being of African ancestry, we identified a new locus associated with AAM in African-ancestry participants, and generalised loci from GWAS of European ancestry individuals.WHAT IS KNOWN ALREADYAAM is a highly polygenic puberty trait associated with various diseases later in life. Both AAM and diseases associated with puberty timing vary by race or ethnicity. The majority of GWAS of AAM have been performed in European ancestry women.STUDY DESIGN, SIZE, DURATIONWe analysed a total of 38 546 women who did not have predominantly European ancestry backgrounds: 25 149 women from seven studies from the ReproGen Consortium and 13 397 women from the UK Biobank. In addition, we used an independent sample of 5148 African-ancestry women from the Southern Community Cohort Study (SCCS) for replication.PARTICIPANTS/MATERIALS, SETTING, METHODSEach AAM GWAS was performed by study and ancestry or ethnic group using linear regression models adjusted for birth year and study-specific covariates. ReproGen and UK Biobank results were meta-analysed using an inverse variance-weighted average method. A trans-ethnic meta-analysis was also carried out to assess heterogeneity due to different ancestry.MAIN RESULTS AND THE ROLE OF CHANCEWe observed consistent direction and effect sizes between our meta-analysis and the largest GWAS conducted in European or Asian ancestry women. We validated four AAM loci (1p31, 6q16, 6q22 and 9q31) with common genetic variants at P LARGE SCALE DATAN/ALIMITATIONS, REASONS FOR CAUTIONExtreme AAM (18 years) were excluded from analysis. Women may not fully recall their AAM as most of the studies were conducted many years later. Further studies in women with diverse and predominantly non-European ancestry are needed to confirm and extend these findings, but the availability of such replication samples is limited.WIDER IMPLICATIONS OF THE FINDINGSExpanding association studies to a broader range of ancestries or ethnicities may improve the identification of new genetic variants associated with complex diseases or traits and the generalisation of variants from European-ancestry studies to a wider range of world populations.STUDY FUNDING/COMPETING INTEREST(S)Funding was provided by CHARGE Consortium grant R01HL105756-07: Gene Discovery For CVD and Aging Phenotypes and by the NIH grant U24AG051129 awarded by the National Institute on Aging (NIA). The authors have no conflict of interest to declare.
Published: 2020

20. Cohort Profile: ZOE 2.0—A Community-Based Genetic Epidemiologic Study of Early Childhood Oral Health

Author: Andrea Ferreira Zandona, Gary D. Slade, Yu Gu, John S. Preisser, Patricia V. Basta, Di Wu, Poojan Shrestha, Beau D Meyer, Deepti Shroff Karhade, Jeannie Ginnis, Ashwini R Joshi, Kimon Divaris, Miguel Simancas-Pallares, Cary S. Agler, M. Andrea Azcarate-Peril, Apoena de Aguiar Ribeiro, Hunyong Cho, and Kari E. North
Subjects: Male, community-based studies, Health, Toxicology and Mutagenesis, Ethnic group, lcsh:Medicine, Genome-wide association study, Oral Health, Demographic profile, Oral health, Dental Caries, Article, 03 medical and health sciences, 0302 clinical medicine, children, early childhood caries, genomics, North Carolina, Prevalence, Medicine, Humans, 030212 general & internal medicine, Early childhood, Genotyping, business.industry, lcsh:R, Public Health, Environmental and Occupational Health, Community Participation, 030206 dentistry, medicine.disease, stomatognathic diseases, Epidemiologic Studies, Cross-Sectional Studies, Child, Preschool, Cohort, Female, business, Early childhood caries, Demography, Genome-Wide Association Study
Abstract: Early childhood caries (ECC) is an aggressive form of dental caries occurring in the first five years of life. Despite its prevalence and consequences, little progress has been made in its prevention and even less is known about individuals&rsquo, susceptibility or genomic risk factors. The genome-wide association study (GWAS) of ECC (&ldquo, ZOE 2.0&rdquo, ) is a community-based, multi-ethnic, cross-sectional, genetic epidemiologic study seeking to address this knowledge gap. This paper describes the study&rsquo, s design, the cohort&rsquo, s demographic profile, data domains, and key oral health outcomes. Between 2016 and 2019, the study enrolled 8059 3&ndash, 5-year-old children attending public preschools in North Carolina, United States. Participants resided in 86 of the state&rsquo, s 100 counties and racial/ethnic minorities predominated&mdash, for example, 48% (n = 3872) were African American, 22% white, and 20% (n = 1611) were Hispanic/Latino. Seventy-nine percent (n = 6404) of participants underwent clinical dental examinations yielding ECC outcome measures&mdash, ECC (defined at the established caries lesion threshold) prevalence was 54% and the mean number of decayed, missing, filled surfaces due to caries was eight. Nearly all (98%) examined children provided sufficient DNA from saliva for genotyping. The cohort&rsquo, s community-based nature and rich data offer excellent opportunities for addressing important clinical, epidemiologic, and biological questions in early childhood.
Published: 2020

21. Genetic variants and physical activity interact to affect bone density in Hispanic children

Author: Venkata Saroja Voruganti, Mariaelisa Graff, Margaret L. Gourlay, Karin Haack, Shelley A. Cole, Yujie Wang, Sandra Laston, Kari E. North, Ruixue Hou, Roman J. Shypailo, Nitesh R. Mehta, Anthony G. Comuzzie, and Nancy F. Butte
Subjects: 0301 basic medicine, musculoskeletal diseases, medicine.medical_specialty, Bone density, Physical activity, 030209 endocrinology & metabolism, Single-nucleotide polymorphism, Affect (psychology), 03 medical and health sciences, 0302 clinical medicine, Absorptiometry, Photon, Bone Density, Internal medicine, Medicine, Humans, Gene–environment interaction, Child, Exercise, Bone mineral, business.industry, lcsh:RJ1-570, Genetic variants, lcsh:Pediatrics, Hispanic or Latino, 030104 developmental biology, Cross-Sectional Studies, Pediatrics, Perinatology and Child Health, Lumbar spine, Original Article, business
Abstract: Background Our aim was to investigate if moderate to vigorous physical activity (MVPA), calcium intake interacts with bone mineral density (BMD)-related single nucleotide polymorphisms (SNPs) to influence BMD in 750 Hispanic children (4-19y) of the cross-sectional Viva La Familia Study. Methods Physical activity and dietary intake were measured by accelerometers and multiple-pass 24 h dietary recalls, respectively. Total body and lumbar spine BMD were measured by dual energy X-ray absorptiometry. A polygenic risk score (PRS) was computed based on SNPs identified in published literature. Regression analysis was conducted with PRSs, MVPA and calcium intake with total body and lumbar spine BMD. Results We found evidence of statistically significant interaction effects between the PRS and MVPA on total body BMD and lumbar spine BMD (p p = 1.1 × 10− 5) and lumbar spine BMD (β = − 0.042 ± 0.013, p = 0.0016) in low MVPA group, as compared to high MVPA group (β = − 0.015 ± 0.006, p = 0.02; β = 0.008 ± 0.01, p = 0.4, respectively). Discussion The study indicated that calcium intake does not modify the relationship between genetic variants and BMD, while it implied physical activity interacts with genetic variants to affect BMD in Hispanic children. Due to limited sample size of our study, future research on gene by environment interaction on bone health and functional studies to provide biological insights are needed. Conclusions Bone health in Hispanic children with high genetic risk for low BMD is benefitted more by MVPA than children with low genetic risk. Our results may be useful to predict disease risk and tailor dietary and physical activity advice delivery to people, especially children.
Published: 2020

22. A Genome-wide Association Study Discovers 46 Loci of the Human Metabolome in the Hispanic Community Health Study/Study of Latinos

Author: Han Chen, Peilin Jia, Megan L. Grove, Kari E. North, Yulin Dai, Alanna C. Morrison, Martha L. Daviglus, Elena V. Feofanova, Robert C. Kaplan, Eric Boerwinkle, Bing Yu, Qibin Qi, Jianwen Cai, and Cathy C. Laurie
Subjects: 0301 basic medicine, Adult, Male, Population, Quantitative Trait Loci, Gene Expression, Genome-wide association study, Coronary Disease, Disease, Biology, Polymorphism, Single Nucleotide, Article, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Metabolomics, Quantitative Trait, Heritable, Genetics, Metabolome, Humans, Vitamin E, Genetic Predisposition to Disease, Cytochrome P450 Family 4, Chromans, education, Genetics (clinical), education.field_of_study, Genome, Human, Membrane Transport Proteins, Hispanic or Latino, Heritability, Middle Aged, Cardiometabolic disease, 030104 developmental biology, Phenotype, Diabetes Mellitus, Type 2, Community health, Female, Public Health, Propionates, 030217 neurology & neurosurgery, Demography, Genome-Wide Association Study
Abstract: Variation in levels of the human metabolome reflect changes in homeostasis, providing a window into health and disease. The genetic impact on circulating metabolites in Hispanics, a population with high cardiometabolic disease burden, is largely unknown. We conducted genome-wide association analyses on 640 circulating metabolites in 3,926 Hispanic Community Health Study/Study of Latinos participants. The estimated heritability for 640 metabolites ranged between 0%–54% with a median at 2.5%. We discovered 46 variant-metabolite pairs (p value < 1.2 × 10(−10), minor allele frequency ≥ 1%, proportion of variance explained [PEV] mean = 3.4%, PEV(range) = 1%–22%) with generalized effects in two population-based studies and confirmed 301 known locus-metabolite associations. Half of the identified variants with generalized effect were located in genes, including five nonsynonymous variants. We identified co-localization with the expression quantitative trait loci at 105 discovered and 151 known loci-metabolites sets. rs5855544, upstream of SLC51A, was associated with higher levels of three steroid sulfates and co-localized with expression levels of SLC51A in several tissues. Mendelian randomization (MR) analysis identified several metabolites associated with coronary heart disease (CHD) and type 2 diabetes. For example, two variants located in or near CYP4F2 (rs2108622 and rs79400241, respectively), involved in vitamin E metabolism, were associated with the levels of octadecanedioate and vitamin E metabolites (gamma-CEHC and gamma-CEHC glucuronide); MR analysis showed that genetically high levels of these metabolites were associated with lower odds of CHD. Our findings document the genetic architecture of circulating metabolites in an underrepresented Hispanic/Latino community, shedding light on disease etiology.
Published: 2020

23. Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Author: Anubha Mahajan, Cassandra N Spracklen, Weihua Zhang, Maggie CY Ng, Lauren E Petty, Hidetoshi Kitajima, Grace Z Yu, Sina Rüeger, Leo Speidel, Young Jin Kim, Momoko Horikoshi, Josep M Mercader, Daniel Taliun, Sanghoon Moon, Soo-Heon Kwak, Neil R Robertson, Nigel W Rayner, Marie Loh, Bong-Jo Kim, Joshua Chiou, Irene Miguel-Escalada, Pietro della Briotta Parolo, Kuang Lin, Fiona Bragg, Michael H Preuss, Fumihiko Takeuchi, Jana Nano, Xiuqing Guo, Amel Lamri, Masahiro Nakatochi, Robert A Scott, Jung-Jin Lee, Alicia Huerta-Chagoya, Mariaelisa Graff, Jin-Fang Chai, Esteban J Parra, Jie Yao, Lawrence F Bielak, Yasuharu Tabara, Yang Hai, Valgerdur Steinthorsdottir, James P Cook, Mart Kals, Niels Grarup, Ellen M Schmidt, Ian Pan, Tamar Sofer, Matthias Wuttke, Chloe Sarnowski, Christian Gieger, Darryl Nousome, Stella Trompet, Jirong Long, Meng Sun, Lin Tong, Wei-Min Chen, Meraj Ahmad, Raymond Noordam, Victor JY Lim, Claudia HT Tam, Yoonjung Yoonie Joo, Chien-Hsiun Chen, Laura M Raffield, Cécile Lecoeur, Nisa M Maruthur, Bram Peter Prins, Aude Nicolas, Lisa R Yanek, Guanjie Chen, Richard A Jensen, Salman Tajuddin, Edmond Kabagambe, Ping An, Anny H Xiang, Hyeok Sun Choi, Brian E Cade, Jingyi Tan, Fernando Abaitua, Linda S Adair, Adebowale Adeyemo, Carlos A Aguilar-Salinas, Masato Akiyama, Sonia S Anand, Alain Bertoni, Zheng Bian, Jette Bork-Jensen, Ivan Brandslund, Jennifer A Brody, Chad M Brummett, Thomas A Buchanan, Mickaël Canouil, Juliana CN Chan, Li-Ching Chang, Miao-Li Chee, Ji Chen, Shyh-Huei Chen, Yuan-Tsong Chen, Zhengming Chen, Lee-Ming Chuang, Mary Cushman, Swapan K Das, H. Janaka de Silva, George Dedoussis, Latchezar Dimitrov, Ayo P Doumatey, Shufa Du, Qing Duan, Kai-Uwe Eckardt, Leslie S Emery, Daniel S Evans, Michele K Evans, Krista Fischer, James S Floyd, Ian Ford, Myriam Fornage, Oscar H Franco, Timothy M Frayling, Barry I Freedman, Christian Fuchsberger, Pauline Genter, Hertzel C Gerstein, Vilmantas Giedraitis, Clicerio González-Villalpando, Maria Elena González-Villalpando, Mark O Goodarzi, Penny Gordon-Larsen, David Gorkin, Myron Gross, Yu Guo, Sophie Hackinger, Sohee Han, Andrew T Hattersley, Christian Herder, Annie-Green Howard, Willa Hsueh, Mengna Huang, Wei Huang, Yi-Jen Hung, Mi Yeong Hwang, Chii-Min Hwu, Sahoko Ichihara, Mohammad Arfan Ikram, Martin Ingelsson, Md. Tariqul Islam, Masato Isono, Hye-Mi Jang, Farzana Jasmine, Guozhi Jiang, Jost B Jonas, Marit E Jørgensen, Torben Jørgensen, Yoichiro Kamatani, Fouad R Kandeel, Anuradhani Kasturiratne, Tomohiro Katsuya, Varinderpal Kaur, Takahisa Kawaguchi, Jacob M Keaton, Abel N Kho, Chiea-Chuen Khor, Muhammad G Kibriya, Duk-Hwan Kim, Katsuhiko Kohara, Jennifer Kriebel, Florian Kronenberg, Johanna Kuusisto, Kristi Läll, Leslie A Lange, Myung-Shik Lee, Nanette R Lee, Aaron Leong, Liming Li, Yun Li, Ruifang Li-Gao, Symen Ligthart, Cecilia M Lindgren, Allan Linneberg, Ching-Ti Liu, Jianjun Liu, Adam E Locke, Tin Louie, Jian’an Luan, Andrea O Luk, Xi Luo, Jun Lv, Valeriya Lyssenko, Vasiliki Mamakou, K Radha Mani, Thomas Meitinger, Andres Metspalu, Andrew D Morris, Girish N. Nadkarni, Jerry L Nadler, Michael A Nalls, Uma Nayak, Ioanna Ntalla, Yukinori Okada, Lorena Orozco, Sanjay R Patel, Mark A Pereira, Annette Peters, Fraser J Pirie, Bianca Porneala, Gauri Prasad, Sebastian Preissl, Laura J Rasmussen-Torvik, Alexander P Reiner, Michael Roden, Rebecca Rohde, Katheryn Roll, Charumathi Sabanayagam, Maike Sander, Kevin Sandow, Naveed Sattar, Sebastian Schönherr, Claudia Schurmann, Mohammad Shahriar, Jinxiu Shi, Dong Mun Shin, Daniel Shriner, Jennifer A Smith, Wing Yee So, Alena Stančáková, Adrienne M Stilp, Konstantin Strauch, Ken Suzuki, Atsushi Takahashi, Kent D Taylor, Barbara Thorand, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Brian Tomlinson, Jason M Torres, Fuu-Jen Tsai, Jaakko Tuomilehto, Teresa Tusie-Luna, Miriam S Udler, Adan Valladares-Salgado, Rob M van Dam, Jan B van Klinken, Rohit Varma, Marijana Vujkovic, Niels Wacher-Rodarte, Ellie Wheeler, Eric A Whitsel, Ananda R Wickremasinghe, Konstantin Willems van Dijk, Daniel R Witte, Chittaranjan S Yajnik, Ken Yamamoto, Toshimasa Yamauchi, Loïc Yengo, Kyungheon Yoon, Canqing Yu, Jian-Min Yuan, Salim Yusuf, Liang Zhang, Wei Zheng, null FinnGen, Leslie J Raffel, Michiya Igase, Eli Ipp, Susan Redline, Yoon Shin Cho, Lars Lind, Michael A Province, Craig L Hanis, Patricia A Peyser, Erik Ingelsson, Alan B Zonderman, Bruce M Psaty, Ya-Xing Wang, Charles N Rotimi, Diane M Becker, Fumihiko Matsuda, Yongmei Liu, Eleftheria Zeggini, Mitsuhiro Yokota, Stephen S Rich, Charles Kooperberg, James S Pankow, James C Engert, Yii-Der Ida Chen, Philippe Froguel, James G Wilson, Wayne HH Sheu, Sharon LR Kardia, Jer-Yuarn Wu, M Geoffrey Hayes, Ronald CW Ma, Tien-Yin Wong, Leif Groop, Dennis O Mook-Kanamori, Giriraj R Chandak, Francis S Collins, Dwaipayan Bharadwaj, Guillaume Paré, Michèle M Sale, Habibul Ahsan, Ayesha A Motala, Xiao-Ou Shu, Kyong-Soo Park, J Wouter Jukema, Miguel Cruz, Roberta McKean-Cowdin, Harald Grallert, Ching-Yu Cheng, Erwin P Bottinger, Abbas Dehghan, E-Shyong Tai, Josee Dupuis, Norihiro Kato, Markku Laakso, Anna Köttgen, Woon-Puay Koh, Colin NA Palmer, Simin Liu, Goncalo Abecasis, Jaspal S Kooner, Ruth JF Loos, Kari E North, Christopher A Haiman, Jose C Florez, Danish Saleheen, Torben Hansen, Oluf Pedersen, Reedik Mägi, Claudia Langenberg, Nicholas J Wareham, Shiro Maeda, Takashi Kadowaki, Juyoung Lee, Iona Y Millwood, Robin G Walters, Kari Stefansson, Simon R Myers, Jorge Ferrer, Kyle J Gaulton, James B Meigs, Karen L Mohlke, Anna L Gloyn, Donald W Bowden, Jennifer E Below, John C Chambers, Xueling Sim, Michael Boehnke, Jerome I Rotter, Mark I McCarthy, and Andrew P Morris
Subjects: 0303 health sciences, Transferability, Translation (biology), Type 2 diabetes, Biology, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Evolutionary biology, Global health, medicine, Genetic risk, Gene, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic association
Abstract: We assembled an ancestrally diverse collection of genome-wide association studies of type 2 diabetes (T2D) in 180,834 cases and 1,159,055 controls (48.9% non-European descent). We identified 277 loci at genome-wide significance (p-8), including 237 attaining a more stringent trans-ancestry threshold (p-9), which were delineated to 338 distinct association signals. Trans-ancestry meta-regression offered substantial enhancements to fine-mapping, with 58.6% of associations more precisely localised due to population diversity, and 54.4% of signals resolved to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying foundations for functional investigations. Trans-ancestry genetic risk scores enhanced transferability across diverse populations, providing a step towards more effective clinical translation to improve global health.
Published: 2020
Full Text: View/download PDF

24. Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices

Author: Pradeep Natarajan, Akhil Pampana, Sarah E. Graham, Sanni E. Ruotsalainen, James A. Perry, Paul S. de Vries, Jai G. Broome, James P. Pirruccello, Michael C. Honigberg, Krishna Aragam, Brooke Wolford, Jennifer A. Brody, Lucinda Antonacci-Fulton, Moscati Arden, Stella Aslibekyan, Themistocles L. Assimes, Christie M. Ballantyne, Lawrence F. Bielak, Joshua C. Bis, Brian E. Cade, Ron Do, Harsha Doddapaneni, Leslie S. Emery, Yi-Jen Hung, Marguerite R. Irvin, Alyna T. Khan, Leslie Lange, Jiwon Lee, Rozenn N. Lemaitre, Lisa W. Martin, Ginger Metcalf, May E. Montasser, Jee-Young Moon, Donna Muzny, Jeffrey R. O’Connell, Nicholette D. Palmer, Juan M. Peralta, Patricia A. Peyser, Adrienne M. Stilp, Michael Tsai, Fei Fei Wang, Daniel E. Weeks, Lisa R. Yanek, James G. Wilson, Goncalo Abecasis, Donna K. Arnett, Lewis C. Becker, John Blangero, Eric Boerwinkle, Donald W. Bowden, Yi-Cheng Chang, Yii-Der I. Chen, Won Jung Choi, Adolfo Correa, Joanne E. Curran, Mark J. Daly, Susan K. Dutcher, Patrick T. Ellinor, Myriam Fornage, Barry I. Freedman, Stacey Gabriel, Soren Germer, Richard A. Gibbs, Jiang He, Kristian Hveem, Gail P. Jarvik, Robert C. Kaplan, Sharon L. R. Kardia, Eimear Kenny, Ryan W. Kim, Charles Kooperberg, Cathy C. Laurie, Seonwook Lee, Don M. Lloyd-Jones, Ruth J. F. Loos, Steven A. Lubitz, Rasika A. Mathias, Karine A. Viaud Martinez, Stephen T. McGarvey, Braxton D. Mitchell, Deborah A. Nickerson, Kari E. North, Aarno Palotie, Cheol Joo Park, Bruce M. Psaty, D. C. Rao, Susan Redline, Alexander P. Reiner, Daekwan Seo, Jeong-Sun Seo, Albert V. Smith, Russell P. Tracy, Ramachandran S. Vasan, Sekar Kathiresan, L. Adrienne Cupples, Jerome I. Rotter, Alanna C. Morrison, Stephen S. Rich, Samuli Ripatti, Cristen Willer, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, FinnGen, Gina M. Peloso, Institute for Molecular Medicine Finland, Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics, Centre of Excellence in Complex Disease Genetics, Research Programs Unit, Aarno Palotie / Principal Investigator, Genomics of Neurological and Neuropsychiatric Disorders, Department of Public Health, Biostatistics Helsinki, Department of Clinical Chemistry and Hematology, Doctoral Programme in Social Sciences, HYKS erva, Päijät-Häme Welfare Consortium, Department of Medicine, HUS Inflammation Center, Clinicum, HUS Heart and Lung Center, Marja-Riitta Taskinen Research Group, Tiinamaija Tuomi Research Group, HUS Abdominal Center, Department of Oncology, Heikki Joensuu / Principal Investigator, HUS Comprehensive Cancer Center, Department of Medical and Clinical Genetics, Lauri Antti Aaltonen / Principal Investigator, HUS Head and Neck Center, Silmäklinikka, Department of Dermatology, Allergology and Venereology, Department of Food and Nutrition, Medicum, Data Science Genetic Epidemiology Lab, HUSLAB, Department of Mathematics and Statistics, University Management, Biosciences, Pregnancy and Genes, and HUS Gynecology and Obstetrics
Subjects: 0301 basic medicine, Male, Apolipoprotein B, General Physics and Astronomy, Blood lipids, Adipose tissue, Genome-wide association study, 030204 cardiovascular system & hematology, Genome-wide association studies, PCSK9, 0302 clinical medicine, Subcutaneous Tissue, GENETIC-VARIANTS, Phenomics, X chromosome, RISK, Multidisciplinary, biology, 1184 Genetics, developmental biology, physiology, Middle Aged, Lipids, X-CHROMOSOME, CORONARY-ARTERY-DISEASE, Female, medicine.medical_specialty, CHOLESTEROL/APOLIPOPROTEIN-B RATIO, APOLIPOPROTEIN-B, Genotype, Science, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, Diabetes mellitus, Internal medicine, medicine, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Allele, Eye Proteins, Genetic Association Studies, Chromosomes, Human, X, DENSITY-LIPOPROTEIN-CHOLESTEROL, Whole Genome Sequencing, business.industry, Cardiometabolic Risk Factors, FAT DISTRIBUTION, General Chemistry, Cardiovascular genetics, medicine.disease, 030104 developmental biology, Endocrinology, Gene Expression Regulation, Genetic Loci, biology.protein, business
Abstract: Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 × 10−72), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 × 10−4), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 × 10−5). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids., The influence of X chromosome genetic variation on blood lipids and coronary heart disease (CHD) is not well understood. Here, the authors analyse X chromosome sequencing data across 65,322 multi-ancestry individuals, identifying associations of the Xq23 locus with lipid changes and reduced risk of CHD and diabetes mellitus.
Published: 2020

25. Multi-Ethnic Genome-Wide Association Study of Decomposed Cardioelectric Phenotypes Illustrates Strategies to Identify and Characterize Evidence of Shared Genetic Effects for Complex Traits

Author: Colleen M. Sitlani, Eimear E. Kenny, Yii-Der Ida Chen, Chani J. Hodonsky, Jerome I. Rotter, Rahul Gondalia, Xiuqing Guo, Lucia A. Hindorff, Alex P. Reiner, Heather M. Highland, Charles Kooperberg, Elsayed Z. Soliman, Nona Sotoodehnia, Susan R. Heckbert, Ulrike Peters, Wendy Post, Ralph V. Shohet, Ran Tao, Kari E. North, Amanda A. Seyerle, Dan E. Arking, Genevieve L. Wojcik, Kent D. Taylor, Eric A. Whitsel, Antoine R Baldassari, Jie Yao, Robert C. Kaplan, Henry J. Lin, Mariaelisa Graff, Steven Buyske, Christy L. Avery, and Dawood Darbar
Subjects: 0301 basic medicine, CD36 Antigens, population, Genome-wide association study, 030204 cardiovascular system & hematology, Electrocardiography, 0302 clinical medicine, Gene Frequency, Chinese americans, education.field_of_study, Membrane Glycoproteins, General Medicine, Single Nucleotide, Hispanic or Latino, Phenotype, Cardiovascular Diseases, Trait, epidemiology, Genotype, Population, Locus (genetics), Biology, Polymorphism, Single Nucleotide, QT interval, Article, White People, 03 medical and health sciences, Clinical Research, Genetics, Humans, 1000 Genomes Project, PR interval, Polymorphism, education, Genetic association, Homeodomain Proteins, genome-wide association study, Human Genome, Univariate, electrophysiology, cardiovascular diseases, Minor allele frequency, Black or African American, 030104 developmental biology, Sample size determination, Evolutionary biology, Genetic Loci, Genome-Wide Association Study, Molecular Chaperones, Transcription Factors
Abstract: Background: We examined how expanding electrocardiographic trait genome-wide association studies to include ancestrally diverse populations, prioritize more precise phenotypic measures, and evaluate evidence for shared genetic effects enabled the detection and characterization of loci. Methods: We decomposed 10 seconds, 12-lead electrocardiograms from 34 668 multi-ethnic participants (15% Black; 30% Hispanic/Latino) into 6 contiguous, physiologically distinct (P wave, PR segment, QRS interval, ST segment, T wave, and TP segment) and 2 composite, conventional (PR interval and QT interval) interval scale traits and conducted multivariable-adjusted, trait-specific univariate genome-wide association studies using 1000-G imputed single-nucleotide polymorphisms. Evidence of shared genetic effects was evaluated by aggregating meta-analyzed univariate results across the 6 continuous electrocardiographic traits using the combined phenotype adaptive sum of powered scores test. Results: We identified 6 novels ( CD36, PITX2, EMB, ZNF592, YPEL2 , and BC043580 ) and 87 known loci (adaptive sum of powered score test P −9 ). Lead single-nucleotide polymorphism rs3211938 at CD36 was common in Blacks (minor allele frequency=10%), near monomorphic in European Americans, and had effects on the QT interval and TP segment that ranked among the largest reported to date for common variants. The other 5 novel loci were observed when evaluating the contiguous but not the composite electrocardiographic traits. Combined phenotype testing did not identify novel electrocardiographic loci unapparent using traditional univariate approaches, although this approach did assist with the characterization of known loci. Conclusions: Despite including one-third as many participants as published electrocardiographic trait genome-wide association studies, our study identified 6 novel loci, emphasizing the importance of ancestral diversity and phenotype resolution in this era of ever-growing genome-wide association studies.
Published: 2020

26. The Trans-Ancestral Genomic Architecture of Glycaemic Traits

Author: Hugoline G. de Haan, Andrew A. Hicks, Achilleas Pitsilides, Fernando Pires Hartwig, Richard A. Jensen, Matti Uusitupa, Anders Hamsten, Dennis O. Mook-Kanamori, Zorayr Arzumanyan, Betina H. Thuesen, Karin Leander, Fernando Rivideneira, Lynne E. Wagenknecht, Andrew R. Wood, Annique Claringbould, Ele Ferranni, Sölve Elmståhl, Eleanor Wheeler, Sharon L.R. Kardia, Richa Saxena, Tatijana Zemunik, Cassandra N. Spracklen, Ken K. Ong, Xiao-Ou Shu, Johannes Waage, Blair H. Smith, Rozenn N. Lemaitre, Torben Hansen, Peter K. Joshi, Lisa R. Yanek, Neil R. Robertson, Sven Bergmann, Mila Desi Anasanti, Inger Njølstad, Ananda R. Wickremasinghe, Xu Lin, Harold Snieder, Wanqing Wen, Veronique Vitart, Paul R. H. J. Timmers, Timo Saaristo, James F. Wilson, Tian Xie, Tao Huang, Rainer Rauramaa, Kei Hang, Rebecca Rohde, Li-Ching Chang, Jing Hua Zhao, Kazuya Setoh, Yasuharu Tabara, Michael Stumvoll, Mark O. Goodarzi, Igor Rudan, James B. Meigs, Jaakko Tuomilehto, Richard M. Watanabe, Ruth J. F. Loos, Reedik Mägi, Jouke-Jan Hottenga, Ozren Polasek, Michael Y. Tsai, Donald W. Bowden, Diana Kuh, Erik B. van den Akker, Yii-Der Ida Chen, Daniel I. Chasman, Weihua Zhang, Nicholette D. Palmer, Marcus E. Kleber, Anny H. Xiang, Chang-Hsun Hsieh, Alan B. Zonderman, Stefan Gustafsson, Timo A. Lakka, Brian H. Chen, Dermot F. Reilly, Francis S. Collins, Oluf Pedersen, Corri Black, Yang Hai, Zoltán Kutalik, Yoriko Heianza, Willa A. Hsueh, Vilmundur Gudnason, Robert C. Kaplan, Jun Liu, Michael A. Province, Aliki-Eleni Farmaki, Stephen S. Rich, Jian'an Luan, Erik Ingelsson, Marie Loh, Michael Preuss, Lars Lind, Stefan R. Bornstein, Mandy Vogel, Colin N. A. Palmer, Fumihiko Matsuda, Takahisa Kawaguchi, Sohee Han, Ching-Ti Liu, Young-Jin Kim, L. Southam, Sara M. Willems, Mickaël Canouil, Robert A. Scott, Marika Kaakinen, Stephan J. L. Bakker, Momoko Horikoshi, Tarunveer S. Ahluwalia, Annette Schürmann, Graciela E. Delgado, Thibaud S. Boutin, Thomas Sparsø, Sandosh Padmanabhan, Fouad Kandeel, Eco J. C. de Geus, Anubha Mahajan, Claudia Schurmann, Klaus Bønnelykke, Leslie A. Lange, Qing Duan, Rona J. Strawbridge, Dennis Raven, Gonçalo R. Abecasis, Mitsuhiro Yokota, Jani Heikkinen, Elizabeth Selvin, Audrey Y. Chu, Anke Tönjes, Marta E. Alarcón-Riquelme, Hans Bisgaard, P. Eline Slagboom, Eric Boerwinkle, Massimo Mangino, Catharina A. Hartman, Geltrude Mingrone, Lenore J. Launer, Michael Boehnke, Emil V. R. Appel, Niels Grarup, Arushi Varshney, Archie Campbell, Kari E. North, W. Craig Johnson, Inês Barroso, Ya X. Wang, Carola Marzi, Anuj Goel, Eleftheria Zeggini, Lu Qi, Yasumasa Ohyagi, Tien Yin Wong, Tanja G. M. Vrijkotte, Gudny Eiriksdottir, Harald Grallert, Ishminder K. Kooner, Trevor A. Mori, Jagadish Vangipurapu, Laura J Corbin, Tomohiro Katsuya, Wen B. Wei, Segun Fatumo, Debashree Ray, Annette Peters, Lori L. Bonnycastle, Ilja M. Nolte, M. Arfan Ikram, Manjinder S. Sandhu, Marit E. Jørgensen, Christian Herder, Damia Noce, Sarah C. Nelson, Chien-Hsiun Chen, Heather M. Stringham, Yong-Bing Xiang, Bruce M. Psaty, Alain G. Bertoni, Gaëlle Marenne, Timothy M. Frayling, Jose C. Florez, Penny Gordon-Larsen, Yu-Tang Gao, Abhishek Nag, Damiano Baldassarre, J. Wouter Jukema, Wei Huang, Yi-Cheng Chang, Albertine J. Oldehinkel, Xiaoshuai Zhang, Yujie Wang, Shaofeng Huo, Xueling Sim, Norihiro Kato, Bernhard O. Böhm, Lorraine Southam, Mari Nelis, Gonneke Willemsen, Laura J. Rasmussen-Torvik, Philippe Froguel, Charumathi Sabanayagam, Leif Groop, Loic Yengo, Shi Jinxiu, Adolfo Correa, Serena Sanna, Arne Astrup, Teemu Kuulasmaa, Symen Ligthart, Shih-Yi Lin, David J. Porteous, Harry Campbell, Peter Vollenweider, Mark J. Caulfield, Kristi Läll, Anne Ndungu, Carl D. Langefeld, Tanya M. Teslovich, Heikki A. Koistinen, Ying Wu, Mattias Frånberg, D.I. Boomsma, Lawrence F. Bielak, Diana van Heemst, Peter Kovacs, Markku Laakso, Leslie J. Raffel, Katharina E. Schraut, Noël P. Burtt, Michiya Igase, Craig E. Pennell, Claudia Langenberg, Huaixing Li, Teresa Tusie, Laura M. Raffield, Jorgen Engmann, Stephen C. J. Parker, Michele K. Evans, Chaolong Wang, Rico Rueedi, Jianjun Liu, Pankow S. James, Hortensia Moreno-Macías, Fumihiko Takeuchi, Cornelia M. van Duijn, Sanghoon Moon, Susan R. Heckbert, Thomas A. Buchanan, Ko Willems van Dijk, Toru Nabika, May E. Montasser, Caroline Hayward, Jie Yao, Aaron Leong, Antje Körner, Jouko Saramies, Jost B. Jonas, Pim van der Harst, Naveed Sattar, Helen R. Warren, Alice Stanton, Yen-Feng Chiu, Kumaraswamy Naidu Chitrala, Mi Yeong Hwang, Jin Fang Chai, Alicia Huerta-Chagoya, Anette P. Gjesing, Ching-Yu Cheng, Debbie A Lawlor, Simin Liu, Man Li, Ivana Kolcic, Erwin P. Bottinger, Andrew Wong, Stella Trompet, Heming Wang, Jirong Long, Xiuqing Guo, Jeffrey R. O'Connell, Meena Kumari, Sirkka Keinänen-Kiukaanniemi, Rita R. Kalyani, Bengt Sennblad, Mohammad Hadi Zafarmand, Kent D. Taylor, Katherine A. Kentistou, Carol A. Wang, Shuiqing Lai, Patricia B. Munroe, Patricia A. Peyser, Lawrence J. Beilin, Niek Verweij, Inga Prokopenko, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, Ping An, Matthias Blüher, Isobel D. Stewart, Alexander P. Reiner, Anna L. Gloyn, Simon P. Mooijaart, Tim D. Spector, Paul W. Franks, Wei Zhao, Andres Metspalu, Wieland Kiess, Kathleen A. Ryan, Astrid van Hylckama Vlieg, Jaana Lindström, Wei Zheng, E. Shyong Tai, Josée Dupuis, Nanette R. Lee, Laura J. Scott, Nicholas J. Timpson, George Dedoussis, Mark I. McCarthy, Tatsuaki Matsubara, Carlos Lorenzo, Denis Rybin, Luigi Ferruci, Chelsea K. Raulerson, Mika Kivimäki, Paul M. Ridker, Jer-Yuarn Wu, Shufa Du, Jaeyoung Hong, Linda S. Adair, Tin Louie, Valeriya Lyssenko, Susan Redline, Kelvin Lam, Qibin Qi, H. Janaka de Silva, Jana V. van Vliet-Ostaptchouk, Peter J. van der Most, Sahoko Ichihara, Nicholas J. Wareham, Ayse Demirkan, Francesco Cucca, Allan Linneberg, Rob M. van Dam, Claire J. Steves, Liang Sun, Albert V. Smith, Raymond Noordam, Tom Wilsgaard, Winfried März, Jung Ho Gong, Matt J. Neville, Jerry L. Nadler, Giorgio Pistis, Karen L. Mohlke, Bruna Gigante, Jennifer A. Brody, Andrew P. Morris, Marie Lauzon, Peter E. H. Schwarz, Bernardo L. Horta, Xiaoran Chai, Ji Chen, Peter S. Sever, Thorkild I. A. Sørensen, André G. Uitterlinden, Javier Gayán, Elena Tremoli, Girish N. Nadkarni, Najaf Amin, Hugh Watkins, Johanna Kuusisto, Jingyi Tan, Sameline Grimsgaard, Bong-Jo Kim, Kerrin S. Small, Jill M. Norris, Cecilia M. Lindgren, Richard N. Bergman, Mark Walker, Henrik Vestergaard, Larissa Aviles-Santa, Jing He, Masahiro Nakatochi, Peter P. Pramstaller, Chiea Chuen Khor, Ruifang Li-Gao, Qiuyin Cai, Neil Schneiderman, Kevin Sandow, Jaspal S. Kooner, Carlos A. Aguilar-Salinas, Peitao Wu, Jerome I. Rotter, Kathryn Roll, Frits R. Rosendaal, Diane M. Becker, Marian Beekman, Claudia P. Cabrera, Nan Wang, Franco Giulianini, Tao Wang, Honglan Li, Abbas Dehghan, Christian Fuchsberger, and Pontiano Kaleebu
Subjects: 0303 health sciences, medicine.medical_specialty, business.industry, Type 2 diabetes, medicine.disease, Fasting insulin, Fasting glucose, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Internal medicine, Diabetes mellitus, medicine, Genomic architecture, business, Glycated haemoglobin, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic association
Abstract: Glycaemic traits are used to diagnose and monitor type 2 diabetes, and cardiometabolic health. To date, most genetic studies of glycaemic traits have focused on individuals of European ancestry. Here, we aggregated genome-wide association studies in up to 281,416 individuals without diabetes (30% non-European ancestry) with fasting glucose, 2h-glucose post-challenge, glycated haemoglobin, and fasting insulin data. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P-8), 80% with no significant evidence of between-ancestry heterogeneity. Analyses restricted to European ancestry individuals with equivalent sample size would have led to 24 fewer new loci. Compared to single-ancestry, equivalent sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase understanding of diabetes pathophysiology by use of trans-ancestry studies for improved power and resolution.
Published: 2020
Full Text: View/download PDF

27. Genome-wide association study identifying novel variant for fasting insulin and allelic heterogeneity in known glycemic loci in Chilean adolescents: The Santiago Longitudinal Study

Author: Mariaelisa Graff, Xiuqing Guo, Bárbara Angel, Kari E. North, Kent D. Taylor, Yii-Der Ida Chen, Cecilia Albala, Venkata Saroja Voruganti, Jie Yao, Victoria L. Buchanan, Heather M. Highland, Estela Blanco, Jingyi Tan, Raquel Burrows, Sheila Gahagan, Anne E. Justice, José Luis Santos, Yujie Wang, Betsy Lozoff, and Carolina Downie
Subjects: 0301 basic medicine, Blood Glucose, medicine.medical_specialty, Longitudinal study, Adolescent, 030209 endocrinology & metabolism, Genome-wide association study, Polymorphism, Single Nucleotide, Fasting insulin, Article, 03 medical and health sciences, 0302 clinical medicine, Gene Frequency, medicine, Humans, Insulin, Longitudinal Studies, Chile, Human services, Glycemic, 030109 nutrition & dietetics, Nutrition and Dietetics, business.industry, Health Policy, Tumor Suppressor Proteins, Public Health, Environmental and Occupational Health, Membrane Proteins, Fasting, Human development (humanity), Health equity, Minority health, Family medicine, Pediatrics, Perinatology and Child Health, business, Genome-Wide Association Study
Abstract: BACKGROUND: The genetic underpinnings of glycemic traits have been understudied in adolescent and Hispanic/Latino (H/L) populations in comparison to adults and populations of European ancestry. OBJECTIVE: To identify genetic factors underlying glycemic traits in an adolescent H/L population. METHODS: We conducted a genome-wide association study (GWAS) of fasting glucose (FG) and fasting insulin (FI) in H/L adolescents from the Santiago Longitudinal Study. RESULTS: We identified one novel variant positioned in the CSMD1 gene on chromosome 8 (rs77465890, effect allele frequency=0.10) that was associated with FI (β=−0.299, SE=0.054, p=2.72×10(−8)) and was only slightly attenuated after adjusting for body mass index z-scores (β=−0.252, SE=0.047, p=1.03×10(−7)). We demonstrated directionally consistent, but not statistically significant results in African and Hispanic adults of the Population Architecture Using Genomics and Epidemiology Consortium. We also identified secondary signals for two FG loci after conditioning on known variants, which demonstrate allelic heterogeneity in well-known glucose loci. CONCLUSION: Our results exemplify the importance of including populations with diverse ancestral origin and adolescent participants in GWAS of glycemic traits to uncover novel risk loci and expand our understanding of disease etiology.
Published: 2020

28. Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure

Author: Lisa W. Martin, Tuomas O. Kilpeläinen, Xiuqing Guo, Kurt Lohman, Ching-Ti Liu, Jerome I. Rotter, Pirjo Komulainen, Lili Milani, Ilja M. Nolte, Yuri Milaneschi, Andres Metspalu, Yii-Der Ida Chen, Tõnu Esko, Jovia L. Nierenberg, Mika Kähönen, Marjan Ilkov, Dennis O. Mook-Kanamori, Karen Schwander, W. James Gauderman, Hanfei Xu, Vilmundur Gudnason, Alisa K. Manning, Gudny Eiriksdottir, David R. Hillman, Elise Lim, Hugues Aschard, John M. Starr, Michael R. Brown, Alanna C. Morrison, Eric Boerwinkle, Stefan Weiss, Maris Alver, Konstantin Strauch, Thomas Meitinger, Tuomo Rankinen, Timo A. Lakka, Harold Snieder, Stephen S. Rich, Yun Ju Sung, Diana van Heemst, Wanqing Wen, Marcus Dörr, Peter J. van der Most, Terho Lehtimäki, Nora Franceschini, Treva Rice, Amy R. Bentley, Dan E. Arking, Susan Redline, Nienke R. Biermasz, Sarah E. Harris, Melanie Waldenberger, Claude Bouchard, M. Arfan Ikram, Walter Palmas, Lynne E. Wagenknecht, Bruce M. Psaty, Daniel Levy, Cornelia M. van Duijn, Joshua C. Bis, Kelly A. Hall, José Eduardo Krieger, Tanika N. Kelly, Kari E. North, Brigitte Kühnel, Phyllis C. Zee, Melissa A. Richard, Lyle J. Palmer, Till Roenneberg, Alexandre C. Pereira, Yongmei Liu, Andrea R. V. R. Horimoto, Jie Yao, Han Chen, Jiang He, Pamela J. Schreiner, Patricia B. Munroe, Wei Zheng, Charles Kooperberg, Paul S. de Vries, Ana Barac, Rainer Rauramaa, Leo-Pekka Lyytikäinen, James M. Shikany, Brian E. Cade, Christian Gieger, Stephen Sidney, Alan B. Zonderman, Tamar Sofer, Chuan Gao, Thomas W. Winkler, Xiao-Ou Shu, Ian J. Deary, Uwe Völker, RJ Waken, Heming Wang, Myriam Fornage, Brenda W.J.H. Penninx, Gregory P. Wilson, Dina Vojinovic, Robert B. Wallace, Kenneth Rice, Ervin R. Fox, Jeffrey R. O'Connell, Annemarie I. Luik, Traci M. Bartz, Xiaofeng Zhu, Najaf Amin, Nicholette D. Palmer, Sami Heikkinen, Kumaraswamynaidu Chitrala, Raymond Noordam, Jiwon Lee, André G. Uitterlinden, Sutapa Mukherjee, Hans J. Grabe, Mario Sims, Sina A. Gharib, Daniel J. Gottlieb, Dabeeru C. Rao, Annette Peters, Reedik Mägi, Solomon K. Musani, Michele K. Evans, Lenore J. Launer, Harvard Medical School [Boston] (HMS), Broad Institute [Cambridge], Harvard University-Massachusetts Institute of Technology (MIT), Hallym University, Department of Educational Psychology and Counseling, National Taiwan Normal University (NTNU), Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Leiden University Medical Center (LUMC), Universiteit Leiden, This project was supported by the US National Heart, Lung, and Blood Institute (NHLBI) R01HL118305. HW and SR were supported by NHLBI R35HL135818. BEC was supported by NHLBI K01HL135405. ARB was supported by the Intramural Research Program of the National Institutes of Health in the Center for Research on Genomics and Global Health (CRGGH). The CRGGH is supported by the National Human Genome Research Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the Center for Information Technology, and the Office of the Director at the National Institutes of Health (1ZIAHG200362). D.v.H. was supported by the European Commission funded project HUMAN (Health-2013-INNOVATION-1-602757). The CHARGE cohorts were supported in part by NHLBI infrastructure grant HL105756. Study-specific acknowledgments can be found in the Supplementary Notes., European Project: 602757,EC:FP7:HEALTH,FP7-HEALTH-2013-INNOVATION-1,HUMAN(2013), Life Course Epidemiology (LCE), Epidemiology, Radiology & Nuclear Medicine, Internal Medicine, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Digital Health, Massachusetts Institute of Technology (MIT)-Harvard University [Cambridge], Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Tampere University, Department of Clinical Chemistry, Clinical Medicine, and Department of Clinical Physiology and Nuclear Medicine
Subjects: 0301 basic medicine, Mean arterial pressure, Diastole, Blood Pressure, Biology, 3121 Internal medicine, Genome, Polymorphism, Single Nucleotide, Elevated blood, 3124 Neurology and psychiatry, Article, Cellular and Molecular Neuroscience, 03 medical and health sciences, TRPC3, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Humans, Molecular Biology, Gene, 030304 developmental biology, Genetics, 0303 health sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP], Short sleep, Sleep in non-human animals, Pulse pressure, Psychiatry and Mental health, 030104 developmental biology, Blood pressure, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Genetic Loci, Hypertension, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 3111 Biomedicine, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Sleep, [STAT.ME]Statistics [stat]/Methodology [stat.ME], 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Long and short sleep duration are associated with elevated blood pressure (BP), possibly through effects on molecular pathways that influence neuroendocrine and vascular systems. To gain new insights into the genetic basis of sleep-related BP variation, we performed genome-wide gene by short or long sleep duration interaction analyses on four BP traits (systolic BP, diastolic BP, mean arterial pressure, and pulse pressure) across five ancestry groups using 1 degree of freedom (1df) interaction and 2df joint tests. Primary multi-ancestry analyses in 62,969 individuals in stage 1 identified 3 novel loci that were replicated in an additional 59,296 individuals in stage 2, including rs7955964 (FIGNL2/ANKRD33) showing significant 1df interactions with long sleep duration and rs73493041 (SNORA26/C9orf170) and rs10406644 (KCTD15/LSM14A) showing significant 1df interactions with short sleep duration (Pint < 5×10−8). Secondary ancestry-specific two-stage analyses and combined stage 1 and 2 analyses additionally identified 23 novel loci that need external replication, including 3 and 5 loci showing significant 1df interactions with long and short sleep duration, respectively (Pint < 5×10−8). Multiple genes mapped to our 26 novel loci have known functions in sleep-wake regulation, nervous and cardiometabolic systems. We also identified new gene by long sleep interactions near five known BP loci (≤1Mb) including NME7, FAM208A, MKLN1, CEP164, and RGL3/ELAVL3 (Pint < 5×10−8). This study indicates that sleep and primary mechanisms regulating BP may interact to elevate BP level, suggesting novel insights into sleep-related BP regulation.
Published: 2020
Full Text: View/download PDF

29. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci

Author: Yongmei Liu, Tuomas O. Kilpeläinen, Kenneth Rice, Ching-Ti Liu, Jin-Fang Chai, Donna K. Arnett, Dhananjay Vaidya, Nicholette D. Palmer, Lili Milani, Yuri Milaneschi, Leo-Pekka Lyytikäinen, Colleen M. Sitlani, Richard S. Cooper, Gudny Eiriksdottir, Daniel Levy, Jerome I. Rotter, Lihua Wang, Sven Bergmann, Yih Chung Tham, Thomas Meitinger, Lynne E. Wagenknecht, Virginia Fisher, Babatunde L. Salako, Vilmundur Gudnason, Bamidele O. Tayo, Caizheng Yu, Barry I. Freedman, Muhammad Riaz, Kaare Christensen, Ulrich Broeckel, W. James Gauderman, Massimiliano Cocca, Eric Boerwinkle, Meian He, Rob M. van Dam, M. Arfan Ikram, Lisa de las Fuentes, Jiang He, Aldi T. Kraja, Nancy L. Pedersen, Albert V. Smith, Woon-Puay Koh, Bernardo L. Horta, He Gao, Traci M. Bartz, Mike A. Nalls, Federica Laguzzi, Raymond Noordam, Paul M. Ridker, Tien Yin Wong, Patricia B. Munroe, Paul S. de Vries, Adolfo Correa, Maris Alver, Dan E. Arking, Colin A. McKenzie, John M. Starr, Chi Charles Gu, Dongfeng Gu, Stefan Weiss, Patricia A. Peyser, Jessica D. Faul, Xu Chen, Jill M. Norris, Patrik K. E. Magnusson, Tamar Sofer, Ioanna Ntalla, Xiuqing Guo, Paul Elliott, Lawrence F. Bielak, Konstantin Strauch, Xueling Sim, Norihiro Kato, Evangelos Evangelou, Ilja M. Nolte, Steven C. Hunt, Mario Sims, Giorgia Girotto, Chuan Gao, Pamela J. Schreiner, Philippe Froguel, Archie Campbell, Xiao-Ou Shu, Claude Bouchard, Kurt Lohman, David R. Weir, José Eduardo Krieger, Yii-Der Ida Chen, Rainer Rauramaa, Walter Palmas, Cornelia M. van Duijn, James M. Shikany, Michael M. Province, Jennifer A. Smith, Wei Zheng, Xiaofeng Zhu, Jianjun Liu, Ozren Polasek, Alexandre C. Pereira, Diane M. Becker, Kari E. North, Salman M. Tajuddin, Deng Xuan, Leslie J. Raffel, Jie Yao, Astrid Petersmann, Ervin F. Fox, Mark J. Caulfield, Daniel I. Chasman, Jasmin Divers, Claudia P. Cabrera, Rico Rueedi, M. Yldau van der Ende, Carl D. Langefeld, Mika Kähönen, Terrence Forrester, Tangchun Wu, Harold Snieder, Caroline Hayward, Tamara B. Harris, Fang-Chi Hsu, Helen R. Warren, Brenda W.J.H. Penninx, Chiea Chuen Khor, Ruifang Li-Gao, Changwei Li, Sami Heikkinen, Jeffrey R. O'Connell, Christian Gieger, Michele K. Evans, Ching-Yu Cheng, Jingjing Liang, Stephen B. Kritchevsky, Gregory L. Burke, Donald W. Bowden, Alexander Teumer, Marcus Dörr, Alanna C. Morrison, Jian-Min Yuan, Annette Peters, Dennis O. Mook-Kanamori, Pedro Marques-Vidal, Pirjo Komulainen, Lisa R. Yanek, Melanie Waldenberger, Alisa K. Manning, Charles N. Rotimi, Chew-Kiat Heng, Tõnu Esko, Franco Giulianini, Miao Li Chee, Treva Rice, David J. Porteous, Yechiel Friedlander, Bing Yu, Myriam Fornage, Karin Leander, Dina Vojinovic, Sharon L.R. Kardia, Xiaoyin Li, Najaf Amin, Karen Schwander, Thomas T. Perls, Oscar Leonel Rueda-Ochoa, Erin B. Ware, Ya Xing Wang, Sandosh Padmanabhan, H. Janaka de Silva, André G. Uitterlinden, Rajkumar Dorajoo, Bruna Gigante, Jennifer A. Brody, Paolo Gasparini, Maryam Kavousi, Wanqing Wen, Stephen Sidney, Alan B. Zonderman, Michael R. Brown, Tuomo Rankinen, Timo A. Lakka, Yun Ju Sung, Alaitz Poveda, Bruce M. Psaty, Terho Lehtimäki, Tanika N. Kelly, Igor Rudan, Brigitte Kühnel, Christopher P. Nelson, John M. C. Connell, Mickaël Canouil, Niek Verweij, Thomas W. Winkler, Ian J. Deary, Marco Brumat, Yize Li, Fumihiko Takeuchi, Wei Zhao, Andres Metspalu, Marguerite R. Irvin, David C. Liewald, Pim van der Harst, Hugues Aschard, Candace M. Kammerer, Melissa A. Richard, Adesola Ogunniyi, Wen Bin Wei, Morris A. Swertz, Fernando Pires Hartwig, Dabeeru C. Rao, Reedik Mägi, Solomon K. Musani, Mathilde Boissel, Jonathan Marten, Nilesh J. Samani, Amy R. Bentley, Sarah E. Harris, Charumathi Sabanayagam, Mary F. Feitosa, Jost B. Jonas, Andrea R. V. R. Horimoto, Paul W. Franks, E. Shyong Tai, Medical Research Council (MRC), de las Fuentes, L., Sung, Y. J., Noordam, R., Winkler, T., Feitosa, M. F., Schwander, K., Bentley, A. R., Brown, M. R., Guo, X., Manning, A., Chasman, D. I., Aschard, H., Bartz, T. M., Bielak, L. F., Campbell, A., Cheng, C. -Y., Dorajoo, R., Hartwig, F. P., Horimoto, A. R. V. R., Li, C., Li-Gao, R., Liu, Y., Marten, J., Musani, S. K., Ntalla, I., Rankinen, T., Richard, M., Sim, X., Smith, A. V., Tajuddin, S. M., Tayo, B. O., Vojinovic, D., Warren, H. R., Xuan, D., Alver, M., Boissel, M., Chai, J. -F., Chen, X., Christensen, K., Divers, J., Evangelou, E., Gao, C., Girotto, G., Harris, S. E., He, M., Hsu, F. -C., Kuhnel, B., Laguzzi, F., Li, X., Lyytikainen, L. -P., Nolte, I. M., Poveda, A., Rauramaa, R., Riaz, M., Rueedi, R., Shu, X. -O., Snieder, H., Sofer, T., Takeuchi, F., Verweij, N., Ware, E. B., Weiss, S., Yanek, L. R., Amin, N., Arking, D. E., Arnett, D. K., Bergmann, S., Boerwinkle, E., Brody, J. A., Broeckel, U., Brumat, M., Burke, G., Cabrera, C. P., Canouil, M., Chee, M. L., Chen, Y. -D. I., Cocca, M., Connell, J., de Silva, H. J., de Vries, P. S., Eiriksdottir, G., Faul, J. D., Fisher, V., Forrester, T., Fox, E. F., Friedlander, Y., Gao, H., Gigante, B., Giulianini, F., Gu, C. C., Gu, D., Harris, T. B., He, J., Heikkinen, S., Heng, C. -K., Hunt, S., Ikram, M. A., Irvin, M. R., Kahonen, M., Kavousi, M., Khor, C. C., Kilpelainen, T. O., Koh, W. -P., Komulainen, P., Kraja, A. T., Krieger, J. E., Langefeld, C. D., Li, Y., Liang, J., Liewald, D. C. M., Liu, C. -T., Liu, J., Lohman, K. K., Magi, R., Mckenzie, C. A., Meitinger, T., Metspalu, A., Milaneschi, Y., Milani, L., Mook-Kanamori, D. O., Nalls, M. A., Nelson, C. P., Norris, J. M., O'Connell, J., Ogunniyi, A., Padmanabhan, S., Palmer, N. D., Pedersen, N. L., Perls, T., Peters, A., Petersmann, A., Peyser, P. A., Polasek, O., Porteous, D. J., Raffel, L. J., Rice, T. K., Rotter, J. I., Rudan, I., Rueda-Ochoa, O. -L., Sabanayagam, C., Salako, B. L., Schreiner, P. J., Shikany, J. M., Sidney, S. S., Sims, M., Sitlani, C. M., Smith, J. A., Starr, J. M., Strauch, K., Swertz, M. A., Teumer, A., Tham, Y. C., Uitterlinden, A. G., Vaidya, D., van der Ende, M. Y., Waldenberger, M., Wang, L., Wang, Y. -X., Wei, W. -B., Weir, D. R., Wen, W., Yao, J., Yu, B., Yu, C., Yuan, J. -M., Zhao, W., Zonderman, A. B., Becker, D. M., Bowden, D. W., Deary, I. J., Dorr, M., Esko, T., Freedman, B. I., Froguel, P., Gasparini, P., Gieger, C., Jonas, J. B., Kammerer, C. M., Kato, N., Lakka, T. A., Leander, K., Lehtimaki, T., Magnusson, P. K. E., Marques-Vidal, P., Penninx, B. W. J. H., Samani, N. J., van der Harst, P., Wagenknecht, L. E., Wu, T., Zheng, W., Zhu, X., Bouchard, C., Cooper, R. S., Correa, A., Evans, M. K., Gudnason, V., Hayward, C., Horta, B. L., Kelly, T. N., Kritchevsky, S. B., Levy, D., Palmas, W. R., Pereira, A. C., Province, M. M., Psaty, B. M., Ridker, P. M., Rotimi, C. N., Tai, E. S., van Dam, R. M., van Duijn, C. M., Wong, T. Y., Rice, K., Gauderman, W. J., Morrison, A. C., North, K. E., Kardia, S. L. R., Caulfield, M. J., Elliott, P., Munroe, P. B., Franks, P. W., Rao, D. C., Fornage, M., Washington University in Saint Louis (WUSTL), Leiden University Medical Center (LUMC), University of Regensburg, Washington University School of Medicine in St. Louis, National Institutes of Health [Bethesda] (NIH), Harbor UCLA Medical Center [Torrance, Ca.], Massachusetts General Hospital [Boston], Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Harvard School of Public Health, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), 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), The University of Texas Health Science Center at Houston (UTHealth), Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Digital Health, Universiteit Leiden, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Lifelines Cohort Study, Epidemiology, Radiology & Nuclear Medicine, Internal Medicine, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), and Cardiovascular Centre (CVC)
Subjects: 0301 basic medicine, CORONARY-HEART-DISEASE, SOCIOECONOMIC-STATUS, RISK-FACTORS, CARDIOVASCULAR-DISEASE, ESSENTIAL-HYPERTENSION, C825T POLYMORPHISM, SOCIAL-CLASS, ASSOCIATION, EXPRESSION, VARIANTS, Blood Pressure, Genome, 0302 clinical medicine, 11 Medical and Health Sciences, Genetics, Psychiatry, [STAT.AP]Statistics [stat]/Applications [stat.AP], 17 Psychology and Cognitive Sciences, Psychiatry and Mental health, Meta-analysis, Hypertension, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Life Sciences & Biomedicine, GNB3, Biochemistry & Molecular Biology, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Lifelines Cohort Study, SDG 3 - Good Health and Well-being, Humans, Risk factor, Molecular Biology, Gene, Science & Technology, Neurosciences, Epistasis, Genetic, 06 Biological Sciences, Genetic architecture, Educational attainment, 030104 developmental biology, Blood pressure, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Genetic Loci, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Neurosciences & Neurology, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Blood Pressure/genetics, Genome-Wide Association Study, Hypertension/genetics, 030217 neurology & neurosurgery
Abstract: Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 × 10 -8 ). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP.
Published: 2020
Full Text: View/download PDF

30. Author Correction: Gut microbiome composition in the Hispanic Community Health Study/Study of Latinos is shaped by geographic relocation, environmental factors, and obesity

Author: Christopher C. Sollecito, Michael C. Wu, Kari E. North, Zheng Wang, Marc D. Gellman, Daniel McDonald, Neil Schneiderman, Carmen R. Isasi, Bharat Thyagarajan, Martha L. Daviglus, Tao Wang, Jee-Young Moon, Robert C. Kaplan, Qibin Qi, Yoshiki Vázquez-Baeza, Justin P. Shaffer, Jessica Williams-Nguyen, Gregory A. Talavera, Robert D. Burk, Rob Knight, Mykhaylo Usyk, and Daniela Sotres-Alvarez
Subjects: Adult, Male, lcsh:QH426-470, Bioinformatics, Section (typography), Biology, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Information and Computing Sciences, medicine, Humans, Obesity, Author Correction, lcsh:QH301-705.5, Composition (language), 030304 developmental biology, Nutrition, Aged, 0303 health sciences, Hispanic or Latino, Biological Sciences, Emigration and Immigration, Middle Aged, medicine.disease, Gut microbiome, Diet, Gastrointestinal Microbiome, lcsh:Genetics, Latin America, lcsh:Biology (General), Community health, Female, Paragraph, Relocation, 030217 neurology & neurosurgery, Sentence, Environmental Sciences, Acculturation, Demography
Abstract: Hispanics living in the USA may have unrecognized potential birthplace and lifestyle influences on the gut microbiome. We report a cross-sectional analysis of 1674 participants from four centers of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), aged 18 to 74 years old at recruitment.Amplicon sequencing of 16S rRNA gene V4 and fungal ITS1 fragments from self-collected stool samples indicate that the host microbiome is determined by sociodemographic and migration-related variables. Those who relocate from Latin America to the USA at an early age have reductions in Prevotella to Bacteroides ratios that persist across the life course. Shannon index of alpha diversity in fungi and bacteria is low in those who relocate to the USA in early life. In contrast, those who relocate to the USA during adulthood, over 45 years old, have high bacterial and fungal diversity and high Prevotella to Bacteroides ratios, compared to USA-born and childhood arrivals. Low bacterial diversity is associated in turn with obesity. Contrasting with prior studies, our study of the Latino population shows increasing Prevotella to Bacteroides ratio with greater obesity. Taxa within Acidaminococcus, Megasphaera, Ruminococcaceae, Coriobacteriaceae, Clostridiales, Christensenellaceae, YS2 (Cyanobacteria), and Victivallaceae are significantly associated with both obesity and earlier exposure to the USA, while Oscillospira and Anaerotruncus show paradoxical associations with both obesity and late-life introduction to the USA.Our analysis of the gut microbiome of Latinos demonstrates unique features that might be responsible for health disparities affecting Hispanics living in the USA.
Published: 2020

31. Leukocyte Traits and Exposure to Ambient Particulate Matter Air Pollution in the Women’s Health Initiative and Atherosclerosis Risk in Communities Study

Author: Yun Li, Katelyn M. Holliday, Jeff D. Yanosky, Steve Horvath, Rahul Gondalia, Weihua Guan, Parveen Bhatti, Karen N. Conneely, James D. Stewart, Ellen W. Demerath, Eric A. Whitsel, Antoine R Baldassari, Duanping Liao, Jan Bressler, Kari E. North, Andrea A. Baccarelli, Lifang Hou, Kristina M. Jordahl, Stephanie M. Engel, Myriam Fornage, James S. Pankow, Themistocles L. Assimes, and Anne E. Justice
Subjects: Adult, Health, Toxicology and Mutagenesis, Air pollution, 010501 environmental sciences, medicine.disease_cause, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, Air pollutants, Air Pollution, Environmental health, Leukocytes, Humans, Medicine, 030212 general & internal medicine, 0105 earth and related environmental sciences, Air Pollutants, Extramural, business.industry, Research, Women's Health Initiative, Public Health, Environmental and Occupational Health, Environmental Exposure, Particulates, Atherosclerosis, 3. Good health, Atherosclerosis Risk in Communities, Cardiovascular Diseases, 13. Climate action, Disease risk, Women's Health, Female, Particulate Matter, business
Abstract: Background: Inflammatory effects of ambient particulate matter (PM) air pollution exposures may underlie PM-related increases in cardiovascular disease risk and mortality, although evidence of PM-associated leukocytosis is inconsistent and largely based on small, cross-sectional, and/or unrepresentative study populations. Objectives: Our objective was to estimate PM–leukocyte associations among U.S. women and men in the Women’s Health Initiative and Atherosclerosis Risk in Communities study (n=165,675). Methods: We based the PM–leukocyte estimations on up to four study visits per participant, at which peripheral blood leukocytes and geocoded address-specific concentrations of PM≤10, ≤2.5, and 2.5–10μm in diameter (PM10, PM2.5, and PM2.5–10, respectively) were available. We multiply imputed missing data using chained equations and estimated PM–leukocyte count associations over daily to yearly PM exposure averaging periods using center-specific, linear, mixed, longitudinal models weighted for attrition and adjusted for sociodemographic, behavioral, meteorological, and geographic covariates. In a subset of participants with available data (n=8,457), we also estimated PM–leukocyte proportion associations in compositional data analyses. Results: We found a 12 cells/μL (95% confidence interval: −9, 33) higher leukocyte count, a 1.2% (0.6%, 1.8%) higher granulocyte proportion, and a −1.1% (−1.9%, −0.3%) lower CD8+ T-cell proportion per 10-μg/m3 increase in 1-month mean PM2.5. However, shorter-duration PM10 exposures were inversely and only modestly associated with leukocyte count. Discussion: The PM2.5–leukocyte estimates, albeit imprecise, suggest that among racially, ethnically, and environmentally diverse U.S. populations, sustained, ambient exposure to fine PM may induce subclinical, but epidemiologically important, inflammatory effects. https://doi.org/10.1289/EHP5360
Published: 2020
Full Text: View/download PDF

32. Mendelian randomization analysis does not support causal associations of birth weight with hypertension risk and blood pressure in adulthood

Author: George Dedoussis, Frédéric Fumeron, Zhonghan Sun, E-Shyong Tai, Bruce M. Psaty, Paul M. Ridker, Kim Overvad, Marcus E. Kleber, Wolfgang Lieb, Marju Orho-Melander, Xueling Sim, Philippe Froguel, Mark I. McCarthy, Tiange Wang, Diana van Heemst, Emily Sonestedt, Veit Grote, Karen L. Mohlke, Inke R. König, Tibor V. Varga, Chris Power, Matthias Munz, Ulrika Ericson, Luc Djoussé, Dariush Mozaffarian, Tuomas O. Kilpeläinen, Jorma Viikari, Ralph Burkhardt, Chao-Qiang Lai, Klaus Bønnelykke, Mariaelisa Graff, Woon-Puay Koh, Jin-Fang Chai, Nanette R. Lee, Harri Niinikoski, Torben Hansen, Christina-Alexandra Schulz, Caizheng Yu, Renée de Mutsert, Colin Boreham, Jean Dallongeville, Anne Tjønneland, Philippe Amouyel, Tao Zhang, Markus Scholz, Elina Hyppönen, Tarunveer S. Ahluwalia, Niina Pitkänen, Fernando Rivadeneira, Rebecca K. Vinding, Donna K. Arnett, Craig E. Pennell, Joachim Thiery, Jose M. Ordovas, Thorkild I. A. Sørensen, Lu Qi, Oscar Coltell, Daniel I. Chasman, Olli T. Raitakari, Preeti Gupta, Dariusz Gruszfeld, Rajkumar Dorajoo, Berthold Koletzko, Seang-Mei Saw, Tangchun Wu, Charumathi Sabanayagam, Rozenn N. Lemaitre, Meian He, Tao Huang, Carol A. Wang, Graciela E. Delgado, Rob M. van Dam, Luis A. Moreno, Peter Rossing, Mika Kähönen, Aline Meirhaeghe, Christina Ellervik, Frédéric Gottrand, Yan Zheng, Katherine L. Tucker, Ying Wu, Lavinia Paternoster, Lingyao Zeng, Joaquin Escribano, David A. Mackey, Raymond Noordam, Masato Akiyama, Dolores Corella, Thorsten Kessler, Frank J. A. van Rooij, Terho Lehtimäki, Jeanette Erdmann, Ang Zhou, Michiaki Kubo, Winfried März, Frits R. Rosendaal, Kari E. North, Cécile Lecoeur, Cornelia Enzenbach, Albert Hofman, Elvira Verduci, Tien Yin Wong, Hans Bisgaard, Zhendong Mei, Trudy Voortman, Yujie Wang, Heribert Schunkert, Beverley Balkau, Annette Peters, Dennis O. Mook-Kanamori, Vincent W. V. Jaddoe, Peter Rzehak, Christina Willenborg, Katja Pahkala, Jean-Paul Langhendries, Janine F. Felix, Angela C. Estampador, Ramon Estruch, Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), 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 Hospitalier Régional Universitaire [Lille] (CHRU Lille), Institute for Translational Research in Inflammation - U 1286 (INFINITE (Ex-Liric)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning National Basic Research Program of China (973 Program): 2016YFC1304801 2017SHZDZX01, This work was supported by Shanghai Municipal Science and Technology Major Project (Grant No. 2017SHZDZX01) and the National Key Research and Development Program of China (Grant No. 2016YFC1304801). YZ was supported by the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning. For the funding information of each study within CHARGE-BIG consortium, please see Supplemental Table 8., CHU Lille, CNRS, Inserm, Université de Lille, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID) - UMR 8199, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 [EGENODIA (GI3M)], Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement (RID-AGE) - U1167, Lille Inflammation Research International Center (LIRIC) - U995, Epidemiology, Erasmus MC other, Pediatrics, Internal Medicine, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Zheng, Yan, Huang, Tao, Wang, Tiange, Mei, Zhendong, Zhou, A, Hypponen, E, and Qi, L
Subjects: Adult, Male, medicine.medical_specialty, Epidemiology, Birth weight, [SDV]Life Sciences [q-bio], Birthweight, 030204 cardiovascular system & hematology, Polymorphism, Single Nucleotide, Article, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Mendelian randomization, medicine, Birth Weight, Humans, Hypertension, Blood pressure, Causal association, Genetic Predisposition to Disease, 030212 general & internal medicine, business.industry, Infant, Newborn, Mendelian Randomization Analysis, Odds ratio, Infant, Low Birth Weight, 3. Good health, Pulse pressure, Cohort, Female, business, Genome-Wide Association Study
Abstract: International audience; Epidemiology studies suggested that low birthweight was associated with a higher risk of hypertension in later life. However, little is known about the causality of such associations. In our study, we evaluated the causal association of low birthweight with adulthood hypertension following a standard analytic protocol using the study-level data of 183,433 participants from 60 studies (CHARGE-BIG consortium), as well as that with blood pressure using publicly available summary-level genome-wide association data from EGG consortium of 153,781 participants, ICBP consortium and UK Biobank cohort together of 757,601 participants. We used seven SNPs as the instrumental variable in the study-level analysis and 47 SNPs in the summary-level analysis. In the study-level analyses, decreased birthweight was associated with a higher risk of hypertension in adults (the odds ratio per 1 standard deviation (SD) lower birthweight, 1.22; 95% CI 1.16 to 1.28), while no association was found between genetically instrumented birthweight and hypertension risk (instrumental odds ratio for causal effect per 1 SD lower birthweight, 0.97; 95% CI 0.68 to 1.41). Such results were consistent with that from the summary-level analyses, where the genetically determined low birthweight was not associated with blood pressure measurements either. One SD lower genetically determined birthweight was not associated with systolic blood pressure (β = − 0.76, 95% CI − 2.45 to 1.08 mmHg), 0.06 mmHg lower diastolic blood pressure (β = − 0.06, 95% CI − 0.93 to 0.87 mmHg), or pulse pressure (β = − 0.65, 95% CI − 1.38 to 0.69 mmHg, all p > 0.05). Our findings suggest that the inverse association of birthweight with hypertension risk from observational studies was not supported by large Mendelian randomization analyses.
Published: 2020
Full Text: View/download PDF

33. Genetically Determined Height and Risk of Non-hodgkin Lymphoma

Author: Amy Moore, Eleanor Kane, Zhaoming Wang, Orestis A. Panagiotou, Lauren R. Teras, Alain Monnereau, Nicole Wong Doo, Mitchell J. Machiela, Christine F. Skibola, Susan L. Slager, Gilles Salles, Nicola J. Camp, Paige M. Bracci, Alexandra Nieters, Roel C. H. Vermeulen, Joseph Vijai, Karin E. Smedby, Yawei Zhang, Claire M. Vajdic, Wendy Cozen, John J. Spinelli, Henrik Hjalgrim, Graham G. Giles, Brian K. Link, Jacqueline Clavel, Alan A. Arslan, Mark P. Purdue, Lesley F. Tinker, Demetrius Albanes, Giovanni M. Ferri, Thomas M. Habermann, Hans-Olov Adami, Nikolaus Becker, Yolanda Benavente, Simonetta Bisanzi, Paolo Boffetta, Paul Brennan, Angela R. Brooks-Wilson, Federico Canzian, Lucia Conde, David G. Cox, Karen Curtin, Lenka Foretova, Susan M. Gapstur, Hervé Ghesquières, Martha Glenn, Bengt Glimelius, Rebecca D. Jackson, Qing Lan, Mark Liebow, Marc Maynadie, James McKay, Mads Melbye, Lucia Miligi, Roger L. Milne, Thierry J. Molina, Lindsay M. Morton, Kari E. North, Kenneth Offit, Marina Padoan, Alpa V. Patel, Sara Piro, Vignesh Ravichandran, Elio Riboli, Silvia de Sanjose, Richard K. Severson, Melissa C. Southey, Anthony Staines, Carolyn Stewart, Ruth C. Travis, Elisabete Weiderpass, Stephanie Weinstein, Tongzhang Zheng, Stephen J. Chanock, Nilanjan Chatterjee, Nathaniel Rothman, Brenda M. Birmann, James R. Cerhan, Sonja I. Berndt, Moore A., Kane E., Wang Z., Panagiotou O.A., Teras L.R., Monnereau A., Wong Doo N., Machiela M.J., Skibola C.F., Slager S.L., Salles G., Camp N.J., Bracci P.M., Nieters A., Vermeulen R.C.H., Vijai J., Smedby K.E., Zhang Y., Vajdic C.M., Cozen W., Spinelli J.J., Hjalgrim H., Giles G.G., Link B.K., Clavel J., Arslan A.A., Purdue M.P., Tinker L.F., Albanes D., Ferri G.M., Habermann T.M., Adami H.-O., Becker N., Benavente Y., Bisanzi S., Boffetta P., Brennan P., Brooks-Wilson A.R., Canzian F., Conde L., Cox D.G., Curtin K., Foretova L., Gapstur S.M., Ghesquieres H., Glenn M., Glimelius B., Jackson R.D., Lan Q., Liebow M., Maynadie M., McKay J., Melbye M., Miligi L., Milne R.L., Molina T.J., Morton L.M., North K.E., Offit K., Padoan M., Patel A.V., Piro S., Ravichandran V., Riboli E., de Sanjose S., Severson R.K., Southey M.C., Staines A., Stewart C., Travis R.C., Weiderpass E., Weinstein S., Zheng T., Chanock S.J., Chatterjee N., Rothman N., Birmann B.M., Cerhan J.R., and Berndt S.I.
Subjects: 0301 basic medicine, Oncology, Cancer Research, medicine.medical_specialty, Chronic lymphocytic leukemia, Follicular lymphoma, diffuse large B-cell lymphoma, Single-nucleotide polymorphism, Genome-wide association study, lcsh:RC254-282, 03 medical and health sciences, 0302 clinical medicine, follicular lymphoma, immune system diseases, Internal medicine, hemic and lymphatic diseases, Genetics, Medicine, Leucèmia limfocítica crònica, genetics, Original Research, Genetic association, Cancer och onkologi, business.industry, non-Hodgkin lymphoma, Odds ratio, medicine.disease, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, marginal zone lymphoma, Lymphoma, Malaltia de Hodgkin, 030104 developmental biology, Cancer and Oncology, 030220 oncology & carcinogenesis, polygenic risk score, diffuse large B-celllymphoma, chronic lymphocytic leukemia, Hodgkin's disease, genetic, business, Diffuse large B-cell lymphoma, Genètica, height
Abstract: Although the evidence is not consistent, epidemiologic studies have suggested that taller adult height may be associated with an increased risk of some non-Hodgkin lymphoma (NHL) subtypes. Height is largely determined by genetic factors, but how these genetic factors may contribute to NHL risk is unknown. We investigated the relationship between genetic determinants of height and NHL risk using data from eight genome-wide association studies (GWAS) comprising 10,629 NHL cases, including 3,857 diffuse large B-cell lymphoma (DLBCL), 2,847 follicular lymphoma (FL), 3,100 chronic lymphocytic leukemia (CLL), and 825 marginal zone lymphoma (MZL) cases, and 9,505 controls of European ancestry. We evaluated genetically predicted height by constructing polygenic risk scores using 833 height-associated SNPs. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between genetically determined height and the risk of four NHL subtypes in each GWAS and then used fixed-effect meta-analysis to combine subtype results across studies. We found suggestive evidence between taller genetically determined height and increased CLL risk (OR = 1.08, 95% CI = 1.00–1.17, p = 0.049), which was slightly stronger among women (OR = 1.15, 95% CI: 1.01–1.31, p = 0.036). No significant associations were observed with DLBCL, FL, or MZL. Our findings suggest that there may be some shared genetic factors between CLL and height, but other endogenous or environmental factors may underlie reported epidemiologic height associations with other subtypes.
Published: 2020
Full Text: View/download PDF

34. GWAS for Interleukin-1β levels in gingival crevicular fluid identifies IL37 variants in periodontal inflammation

Author: Steven Kim, William T. Seaman, Silvana P. Barros, Arne S. Schaefer, Lu Sun, Kari E. North, Matthias Munz, James D. Beck, Kimon Divaris, Dale O. Cowley, Julie T. Marchesan, Li Jing, Thiago Morelli, Kevin Moss, Sompop Bencharit, Steven Offenbacher, Yizu Jiao, Cary S. Agler, and Shaoping Zhang
Subjects: Periodontium, 0301 basic medicine, Interleukin-1beta, General Physics and Astronomy, Genome-wide association study, 0302 clinical medicine, Tooth loss, Aggressive periodontitis, lcsh:Science, Multidisciplinary, Gingival Crevicular Fluid, Stroke, Female, medicine.symptom, Science, Mice, Transgenic, Inflammation, Locus (genetics), Polymorphism, Single Nucleotide, Article, General Biochemistry, Genetics and Molecular Biology, Tooth Loss, 03 medical and health sciences, medicine, Animals, Humans, Amino Acid Sequence, RNA, Messenger, Allele, business.industry, Genetic Variation, 030206 dentistry, General Chemistry, medicine.disease, Chronic periodontitis, Minor allele frequency, Disease Models, Animal, HEK293 Cells, 030104 developmental biology, Haplotypes, Genetic Loci, Chronic Periodontitis, Immunology, Leukocytes, Mononuclear, lcsh:Q, business, Genome-Wide Association Study, Interleukin-1
Abstract: There is no agnostic GWAS evidence for the genetic control of IL-1β expression in periodontal disease. Here we report a GWAS for “high” gingival crevicular fluid IL-1β expression among 4910 European-American adults and identify association signals in the IL37 locus. rs3811046 at this locus (p = 3.3 × 10−22) is associated with severe chronic periodontitis (OR = 1.50; 95% CI = 1.12–2.00), 10-year incident tooth loss (≥3 teeth: RR = 1.33; 95% CI = 1.09–1.62) and aggressive periodontitis (OR = 1.12; 95% CI = 1.01–1.26) in an independent sample of 4927 German/Dutch adults. The minor allele at rs3811046 is associated with increased expression of IL-1β in periodontal tissue. In RAW macrophages, PBMCs and transgenic mice, the IL37 variant increases expression of IL-1β and IL-6, inducing more severe periodontal disease, while IL-37 protein production is impaired and shows reduced cleavage by caspase-1. A second variant in the IL37 locus (rs2708943, p = 4.2 × 10−7) associates with attenuated IL37 mRNA expression. Overall, we demonstrate that IL37 variants modulate the inflammatory cascade in periodontal disease., IL-1β in gingival crevicular fluid (GCF) is a marker of inflammation in periodontal disease. Here, Offenbacher et al. identify genetic variants in the IL37 locus associated with GCF-IL-1β and show that the IL-1β-increasing allele at rs3811046 leads to an enhanced inflammatory response in vitro and in vivo.
Published: 2018

35. Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries

Author: Cashell E. Jaquish, Craig P. Hersh, Emily Barron-Casella, Larry Phillips, James S. Pankow, JoAnn E. Manson, Mariza de Andrade, Vivien A. Sheehan, Norann A. Zaghloul, Yongmei Liu, Sergei Nekhai, Russell P. Tracy, Bruce S. Weir, Pankaj Qasba, Adrienne M. Stilp, Tasha E. Fingerlin, Heather M. Ochs-Balcom, L. Adrienne Cupples, Rongze Yang, David A. Schwartz, Shannon Kelly, Scott E. Devine, Tanja Smith, G.L. Kinney, Beverly Snively, Kent D. Taylor, Manolis Kellis, Ruth J. F. Loos, Seth A. Ament, Kathleen C. Barnes, Robert C. Kaplan, Ulrich Broeckel, Hemant K. Tiwari, Karin F. Hoth, Peter Durda, Julie L. Mikulla, Charles B. Eaton, Cotton Seed, Merry Lynn McDonald, Eric Boerwinkle, Josh Smith, Honghuang Lin, Ingrid B. Borecki, Jeffrey L. Curtis, Emelia J. Benjamin, Kenneth Rice, Sharon L.R. Kardia, Nicholas L. Smith, Coleen M. Damcott, Jeffrey Haessler, Kimberly L. Jones, Elaine Cornell, Nona Sotoodehnia, Adolfo Correa, Rich Johnston, C. Charles Gu, Chii Min Hwu, Peter C. Anderson, Lesley F. Tinker, Colleen Davis, R. Graham Barr, Scott T. Weiss, Leanna Farnam, Chao Hsiung, Brian Silver, Patrick F. McArdle, Lisa W. Martin, Yii-Der Ida Chen, John Barnard, Holly Kramer, Sekar Kathiresan, Gonçalo R. Abecasis, Barry Make, Michael C. Mahaney, Marco V Perez, Donna K. Arnett, Mark Chaffin, Xiuqing Guo, Joshua C. Bis, Pamela Russell, Paul L. Auer, James G. Wilson, Marilyn J. Telen, David K. Levine, Jennifer A. Smith, Christopher Scheller, Meher Preethi Boorgula, Aakrosh Ratan, Kari E. North, Dan E. Arking, Elizabeth A. Regan, Margaret G. Parker, Andres Metspalu, Jai G. Broome, Daniel Taliun, Lynette Ekunwe, Alyna T. Khan, Hao Mei, Dhananjay Vaidya, Ellen M. Schmidt, Stanford Mwasongwe, Joshua P. Lewis, Stacey Gabriel, Christine E. Seidman, Margery Gass, Deborah A. Nickerson, Nicola L. Hawley, Rebecca L. Beer, Afshin Parsa, Steven L. Salzberg, Terri H. Beaty, Stella Aslibekyan, Girish N. Nadkarni, Wei Zhao, David L. Tirschwell, Karen Bunting, Dawn L. DeMeo, Laura J. Rasmussen-Torvik, Julia Powers Becker, Dmitry Prokopenko, Karen Schwander, Bruce D. Gelb, Stephanie Krauter, Laura M. Raffield, Michael E. Hall, Frank C. Sciurba, Lauren Margolin, Nora Franceschini, Daniel N. Harris, Seyedeh M. Zekavat, Dawood Darbar, Keng-Han Lin, Haley Huston, Steven A. Lubitz, Andrea Ganna, Carole Sztalryd, Cathy C. Laurie, Christy Chang, James E. Hixson, Steven A. McCarroll, Barbara A. Konkle, Michael D. Kessler, Scott I. Vrieze, Yingze Zhang, Sarah Ruuska, George J. Papanicolaou, Weiniu Gan, Maris Alver, Elizabeth A. Streeten, Fei Fei Wang, Lu-Chen Weng, Braxton D. Mitchell, Lee-Ming Chuang, Sean P. David, Wei-Min Chen, Susan R. Heckbert, Ryan D. Hernandez, Andrew D. Johnson, Cristen J. Willer, Ani Manichaikul, Jonathan M. Bloom, Timothy D. O’Connor, Sylvia Smoller, Marguerite R. Irvin, Seung Hoan Choi, Ida Surakka, Veikko Salomaa, Diane M. Becker, Ron Do, W. Craig Johnson, Cecelia A. Laurie, Meryl S. LeBoff, Aniket Shetty, Tõnu Esko, Michael C. Zody, Xiaoqi Geng, Da Wei Gong, Snow Xueyan Zhao, Esteban G. Burchard, Xiuwen Zheng, Cara L. Carty, Alexander P. Reiner, Tim Assimes, Deborah A. Meyers, Mina K. Chung, Harald H H Göring, Benjamin M. Neale, Pradeep Natarajan, Yan Gao, Stephen S. Rich, Yun Ju Sung, Susan K. Dutcher, Ferdouse Begum, Stephanie M. Gogarten, John Blangero, Jonathan Cardwell, Kayleen Williams, Rakhi P. Naik, Amol C. Shetty, Sayantan Das, Myriam Fornage, May E. Montasser, Michelle Daya, Edwin K. Silverman, Daniel E. Weeks, Laura J. Kaufman, Dimitrios Avramopoulos, Michael Y. Tsai, Christine M. Albert, Vijay G. Sankaran, Jeffrey R. O'Connell, Thomas W. Blackwell, Stephen T. McGarvey, Robert M. Reed, Leslie A. Lange, Qing Duan, Bruce M. Psaty, Leslie S. Emery, Bertha Hidalgo, Jennifer A. Brody, L. Keoki Williams, Soren Germer, Zhaohui S. Qin, Deepti Jain, Deborah Applebaum-Bowden, Carla Wilson, Degui Zhi, Christoph Lange, Elliott Hong, L.F. Bielak, Wen Jane Lee, Yue Guan, Tarik Walker, Rebecca D. Jackson, Charles R. Farber, Mark J. Daly, Stephanie M. Fullerton, John E. Hokanson, Karol E. Watson, James Luo, Richard Casaburi, Seunggeun Lee, Jill M. Johnsen, Margaret A. Taub, Ryan L. Minster, Ravi Duggirala, Susan K. Mathai, Yun Li, Quenna Wong, Matthew Flickinger, Huichun Xu, Susan Redline, Ulrike Peters, Ivana V. Yang, Jesse M. Engreitz, Sanni Ruotsalainen, Sean K. McFarland, Avram D Walts, Patricia A. Peyser, Allison E. Ashley-Koch, Lewis C. Becker, Nicholette Palmer Allred, James A. Perry, Jody S. Sylvia, Tamar Sofer, Vasan S. Ramachandran, Laura Almasy, Matthew J. Budoff, Ranjan Deka, David M. Herrington, Simeon I. Taylor, Daniel Levy, Chaojie Yang, Sameer Chavan, Kathleen A. Ryan, Josyf C. Mychaleckyj, Ingo Ruczinski, Sebastian Zoellner, Michael Preuss, Tim Poterba, Wendy S. Post, Amber L. Beitelshees, Ben Heavner, Carolina Roselli, Namiko Abe, Jonathon LeFaive, Mark T. Gladwin, Brian Custer, Robert B. Wallace, Simin Liu, Michael H. Cho, Robert E. Handsaker, Dabeeru C. Rao, Bo Juen Chen, Wayne Hui Heng Sheu, Xiang Zhou, Marcos Bezerra, Solomon K. Musani, Eimear E. Kenny, James F. Casella, Kathryn L. Lunetta, Nancy Min, Nicholas Rafaels, Lisa R. Yanek, Min A. Jhun, David C. Glahn, Rasika A. Mathias, Mollie A. Minear, Russell P. Bowler, Jason Ernst, Carolyn J. Crandall, Sara Penchev, Alvaro Alonso, Timothy A. Thornton, Toni I. Pollin, Charles Kooperberg, Ethan M. Lange, Juan M. Peralta, Pramod Anugu, Lucinda Fulton, Adam A. Szpiro, Michael R. DeBaun, M. Benjamin Shoemaker, Sam Phillips, Dan M. Roden, Mao Fu, Daniel I. Chasman, James D. Crapo, Hua Tang, Gina M. Peloso, Hyun Min Kang, Samuli Ripatti, Phuwanat Sakornsakolpat, Christopher R. Gignoux, Peter VandeHaar, Jerome I. Rotter, Dandi Qiao, Emily S. Wan, Shabnam Salimi, Kevin Sandow, Jiang He, Patrick T. Ellinor, Joanne E. Curran, Institute for Molecular Medicine Finland, Samuli Olli Ripatti / Principal Investigator, University of Helsinki, Centre of Excellence in Complex Disease Genetics, Clinicum, Doctoral Programme in Population Health, Department of Public Health, and Complex Disease Genetics
Subjects: 0301 basic medicine, Apolipoprotein B, General Physics and Astronomy, Gene Expression, Genome-wide association study, 030204 cardiovascular system & hematology, Cardiovascular, Lipoprotein particle, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, GENETIC-VARIANTS, 2.1 Biological and endogenous factors, WIDE ASSOCIATION, Aetiology, lcsh:Science, African Continental Ancestry Group, Genetics, Multidisciplinary, Genome, biology, CHOLESTEROL, Adaptor Proteins, Lipoprotein(a), Single Nucleotide, NHLBI TOPMed Lipids Working Group, 3142 Public health care science, environmental and occupational health, 3. Good health, Cholesterol, Heart Disease, Cardiovascular Diseases, CARDIOVASCULAR-DISEASE, RARE VARIANTS, lipids (amino acids, peptides, and proteins), LOW-FREQUENCY, Human, DNA Copy Number Variations, Science, Quantitative Trait Loci, European Continental Ancestry Group, Black People, POPULATION-SCALE, Quantitative trait locus, Article, White People, General Biochemistry, Genetics and Molecular Biology, LDL, Structural variation, 03 medical and health sciences, COMPONENTS-ANALYSIS, RISK-FACTOR, Humans, CORONARY-HEART-DISEASE, Polymorphism, Whole Genome Sequencing, Prevention, Human Genome, General Chemistry, Atherosclerosis, Vesicular Transport, Good Health and Well Being, 030104 developmental biology, chemistry, biology.protein, lcsh:Q, 3111 Biomedicine, Lipoprotein, Genome-Wide Association Study
Abstract: Lipoprotein(a), Lp(a), is a modified low-density lipoprotein particle that contains apolipoprotein(a), encoded by LPA, and is a highly heritable, causal risk factor for cardiovascular diseases that varies in concentrations across ancestries. Here, we use deep-coverage whole genome sequencing in 8392 individuals of European and African ancestry to discover and interpret both single-nucleotide variants and copy number (CN) variation associated with Lp(a). We observe that genetic determinants between Europeans and Africans have several unique determinants. The common variant rs12740374 associated with Lp(a) cholesterol is an eQTL for SORT1 and independent of LDL cholesterol. Observed associations of aggregates of rare non-coding variants are largely explained by LPA structural variation, namely the LPA kringle IV 2 (KIV2)-CN. Finally, we find that LPA risk genotypes confer greater relative risk for incident atherosclerotic cardiovascular diseases compared to directly measured Lp(a), and are significantly associated with measures of subclinical atherosclerosis in African Americans., Circulating lipoprotein(a) is an important risk factor for cardiovascular disease and shows variability between different ethnic groups. Here, Zekavat et al. perform whole-genome sequencing in individuals of European and African ancestries and find ancestry-specific genetic determinants for lipoprotein(a) levels.
Published: 2018
Full Text: View/download PDF

36. Arsenic-gene interactions and beta-cell function in the Strong Heart Family Study

Author: Kari E. North, Nora Franceschini, Karin Haack, Shelley A. Cole, Kevin A. Francesconi, Dhananjay Vaidya, Walter Goessler, Poojitha Balakrishnan, V. Saroja Voruganti, Jason G. Umans, Matthew O. Gribble, Lyle G. Best, and Ana Navas-Acien
Subjects: Adult, Male, 0301 basic medicine, Multifactorial Inheritance, medicine.medical_specialty, Beta-cell Function, chemistry.chemical_element, Apoptosis, Single-nucleotide polymorphism, Protein Serine-Threonine Kinases, Biology, Toxicology, Polymorphism, Single Nucleotide, Mass Spectrometry, Article, Arsenic, Germinal Center Kinases, Young Adult, 03 medical and health sciences, Insulin resistance, Risk Factors, Insulin-Secreting Cells, Internal medicine, Diabetes mellitus, Diabetes Mellitus, medicine, Humans, Genetic Predisposition to Disease, Beta (finance), Gene, Chromatography, High Pressure Liquid, Pharmacology, Incidence, Tumor Suppressor Proteins, Middle Aged, medicine.disease, United States, Oxidative Stress, Phenotype, 030104 developmental biology, Endocrinology, Genetic epidemiology, chemistry, Indians, North American, Environmental Pollutants, Female, Insulin Resistance
Abstract: We explored arsenic-gene interactions influencing pancreatic beta-cell activity in the Strong Heart Family Study (SHFS). We considered 42 variants selected for associations with either beta-cell function (31 variants) or arsenic metabolism (11 variants) in the SHFS. Beta-cell function was calculated as homeostatic model - beta corrected for insulin resistance (cHOMA-B) by regressing homeostatic model - insulin resistance (HOMA-IR) on HOMA-B and adding mean HOMA-B. Arsenic exposure was dichotomized at the median of the sum of creatinine-corrected inorganic and organic arsenic species measured by high performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICPMS). Additive GxE models for cHOMA-B were adjusted for age and ancestry, and accounted for family relationships. Models were stratified by center (Arizona, Oklahoma, North Dakota and South Dakota) and meta-analyzed. The two interactions between higher vs. lower arsenic and SNPs for cHOMA-B that were nominally significant at P < 0.05 were with rs10738708 (SNP overall effect −3.91, P = 0.56; interaction effect with arsenic −31.14, P = 0.02) and rs4607517 (SNP overall effect +16.61, P = 0.03; interaction effect with arsenic +27.02, P = 0.03). The corresponding genes GCK and TUSC1 suggest oxidative stress and apoptosis as possible mechanisms for arsenic impacts on beta-cell function. No interactions were Bonferroni-significant (1.16 × 10(−3)). Our findings are suggestive of oligogenic moderation of arsenic impacts on pancreatic β-cell endocrine function, but were not Bonferroni-significant.
Published: 2018
Full Text: View/download PDF

37. Melanocortin 4 Receptor Pathway Dysfunction in Obesity: Patient Stratification Aimed at MC4R Agonist Treatment

Author: Kari E. North, Alastair S Garfield, Kristin L. Ayers, Shuyu D. Li, Jeffery R Gulcher, Sarah S. Cohen, Thomas Chittenden, Joseph A White, Eric E. Schadt, Lex H.T. Van der Ploeg, Sophie Roy, Pengwei Yang, Fred T. Fiedorek, Simonne Longerich, Rong Chen, Lei Du, Benjamin S. Glicksberg, and Keith Gottesdiener
Subjects: 0301 basic medicine, Male, medicine.medical_specialty, Heterozygote, Pro-Opiomelanocortin, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, 030209 endocrinology & metabolism, Context (language use), Biology, Compound heterozygosity, Biochemistry, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Loss of Function Mutation, Internal medicine, medicine, Humans, Obesity, Allele, Clinical Research Articles, Alleles, Setmelanotide, Obesity and Adipocyte Biology, Leptin receptor, Biochemistry (medical), Homozygote, Heterozygote advantage, United States, Melanocortin 4 receptor, 030104 developmental biology, Proprotein Convertase 1, alpha-MSH, Receptor, Melanocortin, Type 4, Receptors, Leptin, Female, Anti-Obesity Agents, Melanocortin, Signal Transduction
Abstract: Context The hypothalamic melanocortin 4 receptor (MC4R) pathway serves a critical role in regulating body weight. Loss of function (LoF) mutations in the MC4R pathway, including mutations in the pro-opiomelanocortin (POMC), prohormone convertase 1 (PCSK1), leptin receptor (LEPR), orMC4R genes, have been shown to cause early-onset severe obesity. Methods Through a comprehensive epidemiological analysis of known and predicted LoF variants in thePOMC, PCSK1, andLEPR genes, we sought to estimate the number of US individuals with biallelic MC4R pathway LoF variants. Results We predict ~650α-melanocyte-stimulating hormone (MSH)/POMC, 8500PCSK1, and 3600LEPR homozygous and compound heterozygous individuals in the United States, cumulatively enumerating >12,800 MC4R pathway–deficient obese patients. Few of these variants have been genetically diagnosed to date. These estimates increase when we include a small subset of less rare variants:β-MSH/POMC,PCSK1 N221D, and aPCSK1 LoF variant (T640A). To further define the MC4R pathway and its potential impact on obesity, we tested associations between body mass index (BMI) and LoF mutation burden in thePOMC, PCSK1, andLEPR genes in various populations. We show that the cumulative allele burden in individuals with two or more LoF alleles in one or more genes in the MC4R pathway are predisposed to a higher BMI than noncarriers or heterozygous LoF carriers with a defect in only one gene. Conclusions Our analysis represents a genetically rationalized study of the hypothalamic MC4R pathway aimed at genetic patient stratification to determine which obese subpopulations should be studied to elucidate MC4R agonist (e.g., setmelanotide) treatment responsiveness., This is a genetic epidemiology study of melanocortin 4 receptor (MC4R) pathway dysfunction in obesity aimed at genetic patient stratification for clinical study of MC4R agonist treatment responsiveness.
Published: 2018

38. Genome-wide association study and meta-analysis identify loci associated with ventricular and supraventricular ectopy

Author: Elsayed Z. Soliman, Jennifer A. Brody, Jerome I. Rotter, Yun Li, Rahul Gondalia, Amanda A. Seyerle, Bruce M. Psaty, Xiuqing Guo, Eric A. Whitsel, Song Yan, Kari E. North, Alexander P. Reiner, Nona Sotoodehnia, Christy L. Avery, Henry J. Lin, Cathy C. Laurie, Traci M. Bartz, Stephanie M. Gogarten, Kirk C. Wilhelmsen, Lesley F. Tinker, Melanie D. Napier, Raul Mendez-Giraldez, Jeffrey Roach, Qing Duan, Susan R. Heckbert, Jie Yao, Colleen M. Sitlani, Nora Franceschini, Heather M. Highland, James D. Stewart, Zhu Ming Zhang, Kent D. Taylor, and Duanping Liao
Subjects: Male, 0301 basic medicine, Genotype, lcsh:Medicine, Single-nucleotide polymorphism, Genome-wide association study, Locus (genetics), 030204 cardiovascular system & hematology, Biology, Polymorphism, Single Nucleotide, Article, Cohort Studies, Electrocardiography, 03 medical and health sciences, 0302 clinical medicine, Genetic variation, Tachycardia, Supraventricular, Humans, SNP, Allele, lcsh:Science, Gene, Aged, Genetics, Clinical Trials as Topic, Multidisciplinary, lcsh:R, Bayes Theorem, Middle Aged, Ventricular Premature Complexes, Phenotype, 030104 developmental biology, Meta-analysis, Female, lcsh:Q, Atrial Premature Complexes, Genome-Wide Association Study
Abstract: The genetic basis of supraventricular and ventricular ectopy (SVE, VE) remains largely uncharacterized, despite established genetic mechanisms of arrhythmogenesis. To identify novel genetic variants associated with SVE/VE in ancestrally diverse human populations, we conducted a genome-wide association study of electrocardiographically identified SVE and VE in five cohorts including approximately 43,000 participants of African, European and Hispanic/Latino ancestry. In thirteen ancestry-stratified subgroups, we tested multivariable-adjusted associations of SVE and VE with single nucleotide polymorphism (SNP) dosage. We combined subgroup-specific association estimates in inverse variance-weighted, fixed-effects and Bayesian meta-analyses. We also combined fixed-effects meta-analytic t-test statistics for SVE and VE in multi-trait SNP association analyses. No loci reached genome-wide significance in trans-ethnic meta-analyses. However, we found genome-wide significant SNPs intronic to an apoptosis-enhancing gene previously associated with QRS interval duration (FAF1; lead SNP rs7545860; effect allele frequency = 0.02; P = 2.0 × 10−8) in multi-trait analysis among European ancestry participants and near a locus encoding calcium-dependent glycoproteins (DSC3; lead SNP rs8086068; effect allele frequency = 0.17) in meta-analysis of SVE (P = 4.0 × 10−8) and multi-trait analysis (P = 2.9 × 10−9) among African ancestry participants. The novel findings suggest several mechanisms by which genetic variation may predispose to ectopy in humans and highlight the potential value of leveraging pleiotropy in future studies of ectopy-related phenotypes.
Published: 2018
Full Text: View/download PDF

39. DNA methylation of imprinted gene control regions in the regression of low-grade cervical lesions

Author: Kari E. North, Cathrine Hoyo, Randy L. Jirtle, Rex C. Bentley, Rachel L. Maguire, Wendy R. Brewster, Ayodele Gomih, Zhiqing Huang, Susan K. Murphy, Fidel A. Valea, David Skaar, Jennifer S. Smith, Michael G. Hudgens, and Adriana C. Vidal
Subjects: 0301 basic medicine, Oncology, Cervical cancer, Cancer Research, medicine.medical_specialty, Proportional hazards model, business.industry, Hazard ratio, Methylation, Cervical intraepithelial neoplasia, medicine.disease, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, CpG site, 030220 oncology & carcinogenesis, Internal medicine, DNA methylation, medicine, Genomic imprinting, business
Abstract: The role of host epigenetic mechanisms in the natural history of low-grade cervical intraepithelial neoplasia (CIN1) is not well characterized. We explored differential methylation of imprinted gene regulatory regions as predictors of the risk of CIN1 regression. A total of 164 patients with CIN1 were recruited from 10 Duke University clinics for the CIN Cohort Study. Participants had colposcopies at enrollment and up to five follow-up visits over 3 years. DNA was extracted from exfoliated cervical cells for methylation quantitation at CpG (cytosine-phosphate-guanine) sites and human papillomavirus (HPV) genotyping. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox regression to quantify the effect of methylation on CIN1 regression over two consecutive visits, compared to non-regression (persistent CIN1; progression to CIN2+; or CIN1 regression at a single time-point), adjusting for age, race, high-risk HPV (hrHPV), parity, oral contraceptive and smoking status. Median participant age was 26.6 years (range: 21.0-64.4 years), 39% were African-American, and 11% were current smokers. Most participants were hrHPV-positive at enrollment (80.5%). Over one-third of cases regressed (n = 53, 35.1%). Median time-to-regression was 12.6 months (range: 4.5-24.0 months). Probability of CIN1 regression was negatively correlated with methylation at IGF2AS CpG 5 (HR = 0.41; 95% CI = 0.23-0.77) and PEG10 DMR (HR = 0.80; 95% CI = 0.65-0.98). Altered methylation of imprinted IGF2AS and PEG10 DMRs may play a role in the natural history of CIN1. If confirmed in larger studies, further research on imprinted gene DMR methylation is warranted to determine its efficacy as a biomarker for cervical cancer screening.
Published: 2018
Full Text: View/download PDF

40. Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology

Author: C M van Duijn, James S. Floyd, Maarit A. Laaksonen, André G. Uitterlinden, Colleen M. Sitlani, Y-Di Chen, H J Lin, Christopher Newton-Cheh, Kent D. Taylor, Albert V. Smith, Til Stürmer, Kari E. North, Peter W. Macfarlane, Dennis O. Mook-Kanamori, Raymond Noordam, Yun Li, Jun Li, Tamar Sofer, Raul Mendez-Giraldez, Adrienne M. Stilp, Cathy C. Laurie, Ian Ford, Christy L. Avery, Stella Trompet, Nona Sotoodehnia, Jeffrey Roach, T.B. Harris, Jennifer A. Brody, Susan R. Heckbert, L. A. Cupples, J. C. Bis, Ruifang Li-Gao, Christopher J. O'Donnell, Vilmundur Gudnason, Robert C. Kaplan, Brendan M. Buckley, R. de Mutsert, Jan A. Kors, Steve Cummings, Elsayed Z. Soliman, Xiaohui Li, Kati Kristiansson, Linda Broer, Alexander P. Reiner, Joop Jukema, Aaron Isaacs, Evan L. Busch, Craig R. Lee, Amanda A. Seyerle, Heather M. Highland, Kathleen F. Kerr, Bruce M. Psaty, Leslie A. Lange, Qing Duan, Veikko Salomaa, Kenneth Rice, James D. Stewart, Stephanie M. Gogarten, E. A. Whitsel, Kirk C. Wilhelmsen, Daniel S. Evans, Yongmei Liu, Bruno H. Stricker, Fangui Sun, Kimmo Porthan, A. Hofman, Gina M. Peloso, L. J. Launer, Kerri L. Wiggins, Melanie D. Napier, Jerome I. Rotter, Frits R. Rosendaal, James G. Wilson, Ramachandran S. Vasan, Kardiologian yksikkö, Department of Medicine, Clinicum, Genetica & Celbiologie, Biochemie, RS: CARIM - R1.01 - Blood proteins & engineering, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, RS: FHML MaCSBio, Epidemiology, Internal Medicine, Medical Informatics, and Erasmus MC other
Subjects: Male, 0301 basic medicine, Influencing antihypertensive response, Aging, Sodium Chloride Symporter Inhibitors, Blood-pressure response, Gene-environment interactions, Ethnic populations, VARIANTS, Cardiovascular, Bioinformatics, Cohort Studies, Electrocardiography, Cardiovascular drugs, Heart Rate, Polymorphism (computer science), HYPERTENSIVE PATIENTS, Epidemiology, 80 and over, Ethnicity, WIDE ASSOCIATION, Pharmacology & Pharmacy, Longitudinal Studies, Aged, 80 and over, Wide association, Genomewide association, Variants, Single Nucleotide, Pharmacology and Pharmaceutical Sciences, Genomics, Middle Aged, CARDIOVASCULAR DRUGS, 3. Good health, 317 Pharmacy, Molecular Medicine, Female, Cohort study, medicine.drug, Adult, medicine.medical_specialty, INFLUENCING ANTIHYPERTENSIVE RESPONSE, MEDLINE, UNITED-STATES, Polymorphism, Single Nucleotide, QT interval, Article, 03 medical and health sciences, BLOOD-PRESSURE RESPONSE, Genetics, medicine, Humans, Polymorphism, Thiazide, Hypertensive patients, Aged, Pharmacology, Selection bias, SELECTION BIAS, business.industry, Human Genome, R1, GENE-ENVIRONMENT INTERACTIONS, United States, 030104 developmental biology, Pharmacogenetics, Pharmacogenomics, GENOMEWIDE ASSOCIATION, business
Abstract: Thiazide diuretics, commonly used antihypertensives, may cause QT interval (QT) prolongation, a risk factor for highly fatal and difficult to predict ventricular arrhythmias. We examined whether common single-nucleotide polymorphisms (SNPs) modified the association between thiazide use and QT or its component parts (QRS interval, JT interval) by performing ancestry-specific, transethnic and cross-phenotype genome-wide analyses of European (66%), African American (15%) and Hispanic (19%) populations (N = 78 199), leveraging longitudinal data, incorporating corrected standard errors to account for underestimation of interaction estimate variances and evaluating evidence for pathway enrichment. Although no loci achieved genome-wide significance (P
Published: 2018

41. Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis

Author: Emily Sonestedt, Ilkka Seppälä, Yanping Li, Lyn M. Steffen, Kari E. North, Denis Rybin, Mika Kähönen, Kristin L. Young, David S. Siscovick, Jiantao Ma, Carol A. Wang, Stephen S. Rich, Renée de Mutsert, Vera Mikkilä, Bruce M. Psaty, Danielle E. Haslam, Lu Qi, Oscar H. Franco, Alexis C. Frazier-Wood, Caren E. Smith, Nicola M. McKeown, L. Adrienne Cupples, Elisabeth T.M. Leermakers, Kenneth Rice, Christina-Alexandra Schulz, Josée Dupuis, Rozenn N. Lemaitre, Craig E. Pennell, Wendy H. Oddy, Mark A. Herman, Louise Brunkwall, Terho Lehtimäki, James B. Meigs, Marju Orho-Melander, Kenneth J. Mukamal, Ulrika Ericson, Tao Huang, Frits R. Rosendaal, Toshiko Tanaka, Jorma Viikari, Dariush Mozaffarian, Albert Hofman, Jessica C. Kiefte-de Jong, Mariaelisa Graff, Olli T. Raitakari, André G. Uitterlinden, Ruifang Li-Gao, Dennis O. Mook-Kanamori, Tzu An Chen, Hassan S. Dashti, Epidemiology, Erasmus MC other, Department of Food and Nutrition, and University of Helsinki
Subjects: 0301 basic medicine, Blood Glucose, Male, FGF21, Epidemiology, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Type 2 diabetes, CARDIOVASCULAR RISK-FACTORS, Insulin, METABOLIC SYNDROME, 2. Zero hunger, Basic Helix-Loop-Helix Leucine Zipper Transcription Factors, Fasting, RANDOMIZED CONTROLLED-TRIAL, ADIPOSE-TISSUE, MACRONUTRIENT INTAKE, Female, 3143 Nutrition, medicine.medical_specialty, Offspring, FRUCTOSE TRANSPORT, Single-nucleotide polymorphism, Carbohydrate metabolism, Biology, Article, Beverages, 03 medical and health sciences, Internal medicine, Internal Medicine, medicine, Genetics, Humans, Nutrition, CONSUMPTION, Fructose transport, medicine.disease, ELEMENT-BINDING PROTEIN, Fibroblast Growth Factors, Meta-analysis, 030104 developmental biology, Endocrinology, Sweetening Agents, 3121 General medicine, internal medicine and other clinical medicine, Metabolic syndrome, RESISTANCE
Abstract: Sugar-sweetened beverages (SSBs) are a major dietary contributor to fructose intake. A molecular pathway involving the carbohydrate responsive element-binding protein (ChREBP) and the metabolic hormone fibroblast growth factor 21 (FGF21) may influence sugar metabolism and, thereby, contribute to fructose-induced metabolic disease. We hypothesise that common variants in 11 genes involved in fructose metabolism and the ChREBP-FGF21 pathway may interact with SSB intake to exacerbate positive associations between higher SSB intake and glycaemic traits. Data from 11 cohorts (six discovery and five replication) in the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium provided association and interaction results from 34,748 adults of European descent. SSB intake (soft drinks, fruit punches, lemonades or other fruit drinks) was derived from food-frequency questionnaires and food diaries. In fixed-effects meta-analyses, we quantified: (1) the associations between SSBs and glycaemic traits (fasting glucose and fasting insulin); and (2) the interactions between SSBs and 18 independent SNPs related to the ChREBP-FGF21 pathway. In our combined meta-analyses of discovery and replication cohorts, after adjustment for age, sex, energy intake, BMI and other dietary covariates, each additional serving of SSB intake was associated with higher fasting glucose (β ± SE 0.014 ± 0.004 [mmol/l], p = 1.5 × 10−3) and higher fasting insulin (0.030 ± 0.005 [log e pmol/l], p = 2.0 × 10−10). No significant interactions on glycaemic traits were observed between SSB intake and selected SNPs. While a suggestive interaction was observed in the discovery cohorts with a SNP (rs1542423) in the β-Klotho (KLB) locus on fasting insulin (0.030 ± 0.011 log e pmol/l, uncorrected p = 0.006), results in the replication cohorts and combined meta-analyses were non-significant. In this large meta-analysis, we observed that SSB intake was associated with higher fasting glucose and insulin. Although a suggestive interaction with a genetic variant in the ChREBP-FGF21 pathway was observed in the discovery cohorts, this observation was not confirmed in the replication analysis. Trials related to this study were registered at clinicaltrials.gov as NCT00005131 (Atherosclerosis Risk in Communities), NCT00005133 (Cardiovascular Health Study), NCT00005121 (Framingham Offspring Study), NCT00005487 (Multi-Ethnic Study of Atherosclerosis) and NCT00005152 (Nurses’ Health Study).
Published: 2018

42. Transcriptome-Wide Association Study of Blood Cell Traits in African Ancestry and Hispanic/Latino Populations

Author: Kari E. North, Jie Yin, Maria Argos, Tao Wang, Jiawen Chen, Jee-Young Moon, Myriam Fornage, Yongmei Liu, Xiang Zhou, Steve Buyske, Kristin L. Young, Bryce Rowland, Jonathan D. Rosen, Laura M. Raffield, Alexander P. Reiner, Lulu Shang, Stephanie A. Bien, Christy L. Avery, Eric Jorgenson, Quan Sun, Marielisa Graff, Amanda L. Tapia, Madeline H. Kowalski, Jia Wen, Hélène Choquet, Yue Shan, Chani J. Hodonsky, Munan Xie, Jerome I. Rotter, Yun Li, Ruth J. F. Loos, Wei Zhao, Stephen S. Rich, Jennifer A. Smith, Huijun Qian, and Charles Kooperberg
Subjects: Quantitative Trait Loci, TWAS, Genome-wide association study, QH426-470, Hematocrit, Biology, Polymorphism, Single Nucleotide, Article, White People, TWAS (transcriptome-wide association study), non-European populations, ancestry, expression analysis, Cohort Studies, Correlation, 03 medical and health sciences, 0302 clinical medicine, Clinical Research, White blood cell, Genetics, medicine, Humans, Genetic Predisposition to Disease, Polymorphism, Gene, Genetics (clinical), 030304 developmental biology, 0303 health sciences, Blood Cells, medicine.diagnostic_test, Human Genome, Single Nucleotide, Hispanic or Latino, Hematology, Atherosclerosis, Black or African American, Phenotype, Good Health and Well Being, medicine.anatomical_structure, Genetic epidemiology, Cohort, Trait, Transcriptome, 030217 neurology & neurosurgery, Genome-Wide Association Study, Biotechnology
Abstract: Background: Thousands of genetic variants have been associated with hematological traits, though target genes remain unknown at most loci. Moreover, limited analyses have been conducted in African ancestry and Hispanic/Latino populations; hematological trait associated variants more common in these populations have likely been missed. Methods: To derive gene expression prediction models, we used ancestry-stratified datasets from the Multi-Ethnic Study of Atherosclerosis (MESA, including n = 229 African American and n = 381 Hispanic/Latino participants, monocytes) and the Depression Genes and Networks study (DGN, n = 922 European ancestry participants, whole blood). We then performed a transcriptome-wide association study (TWAS) for platelet count, hemoglobin, hematocrit, and white blood cell count in African (n = 27,955) and Hispanic/Latino (n = 28,324) ancestry participants. Results: Our results revealed 24 suggestive signals (p < 1 × 10−4) that were conditionally distinct from known GWAS identified variants and successfully replicated these signals in European ancestry subjects from UK Biobank. We found modestly improved correlation of predicted and measured gene expression in an independent African American cohort (the Genetic Epidemiology Network of Arteriopathy (GENOA) study (n = 802), lymphoblastoid cell lines) using the larger DGN reference panel; however, some genes were well predicted using MESA but not DGN. Conclusions: These analyses demonstrate the importance of performing TWAS and other genetic analyses across diverse populations and of balancing sample size and ancestry background matching when selecting a TWAS reference panel.
Published: 2021
Full Text: View/download PDF

43. Exploring the genomic basis of early childhood caries: a pilot study

Author: Patricia V. Basta, Michael S. Roberts, Kimon Divaris, Daniel W. McNeil, Cary S. Agler, Andrea Ferreira Zandona, Jason Luo, R.G. Rozier, Jami L. Ballantine, Kari E. North, Mary L. Marazita, Steven M. Levy, Richard J. Crout, Robert J. Weyant, Mikafui E. Antonio‐Obese, Jenna C. Carlson, Leslie P. Zeldin, Rebecca L. Slayton, and John R. Shaffer
Subjects: Male, 0301 basic medicine, medicine.medical_specialty, Saliva, genetic structures, Pilot Projects, Locus (genetics), Single-nucleotide polymorphism, Dental Caries, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Gene Frequency, Internal medicine, North Carolina, Prevalence, Humans, Medicine, Genetic Predisposition to Disease, General Dentistry, Genetic Association Studies, business.industry, Small sample, Original Articles, 030206 dentistry, Odds ratio, medicine.disease, Confidence interval, 3. Good health, Minor allele frequency, 030104 developmental biology, Child, Preschool, Female, Original Article, business, Early childhood caries
Abstract: Objective A genetic component in early childhood caries (ECC) is theorized, but no genome-wide investigations of ECC have been conducted. This pilot study is part of a long-term research program aimed to: (1) determine the proportion of ECC variance attributable to the human genome and (2) identify ECC-associated genetic loci. Methods The study's community-based sample comprised 212 children (mean age=39 months; range = 30–52 months; males = 55%; Hispanic/Latino = 35%, African-American = 32%; American Academy of Pediatric Dentistry definition of ECC prevalence = 38%). Approximately 2.4 million single nucleotide polymorphisms (SNPs) were genotyped using DNA purified from saliva. A P
Published: 2017
Full Text: View/download PDF

44. Objectively Measured Physical Activity, Sedentary Behavior, and Genetic Predisposition to Obesity in U.S. Hispanics/Latinos: Results From the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

Author: Robert C. Kaplan, Maria Argos, Marc D. Gellman, Carmen R. Isasi, Jee-Young Moon, Qibin Qi, Jianwen Cai, Kari E. North, Ashley E. Moncrieft, Tamar Sofer, Daniela Sotres-Alvarez, and Tao Wang
Subjects: Adult, Male, Gerontology, Waist, Adolescent, Endocrinology, Diabetes and Metabolism, 030209 endocrinology & metabolism, Single-nucleotide polymorphism, Body Mass Index, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Internal Medicine, Genetic predisposition, Humans, Medicine, Genetic Predisposition to Disease, Obesity, 030212 general & internal medicine, Young adult, Exercise, Adiposity, Aged, Sedentary lifestyle, Genetic association, business.industry, Hispanic or Latino, Middle Aged, medicine.disease, Female, Sedentary Behavior, business, Body mass index, Obesity Studies, Demography
Abstract: Studies using self-reported data suggest a gene–physical activity interaction on obesity, yet the influence of sedentary behavior, distinct from a lack of physical activity, on genetic associations with obesity remains unclear. We analyzed interactions of accelerometer-measured moderate to vigorous physical activity (MVPA) and time spent sedentary with genetic variants on obesity among 9,645 U.S. Hispanics/Latinos. An overall genetic risk score (GRS), a central nervous system (CNS)–related GRS, and a non-CNS-related GRS were calculated based on 97 BMI-associated single nucleotide polymorphisms (SNPs). Genetic association with BMI was stronger in individuals with lower MVPA (first tertile) versus higher MVPA (third tertile) (β = 0.78 kg/m2 [SE, 0.10 kg/m2] vs. 0.39 kg/m2 [0.09 kg/m2] per SD increment of GRS; Pinteraction = 0.005), and in those with more time spent sedentary (third tertile) versus less time spent sedentary (first tertile) (β = 0.73 kg/m2 [SE, 0.10 kg/m2] vs. 0.44 kg/m2 [0.09 kg/m2]; Pinteraction = 0.006). Similar significant interaction patterns were observed for obesity risk, body fat mass, fat percentage, fat mass index, and waist circumference, but not for fat-free mass. The CNS-related GRS, but not the non-CNS-related GRS, showed significant interactions with MVPA and sedentary behavior, with effects on BMI and other adiposity traits. Our data suggest that both increasing physical activity and reducing sedentary behavior may attenuate genetic associations with obesity, although the independence of these interaction effects needs to be investigated further.
Published: 2017
Full Text: View/download PDF

45. Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) Study reveals evidence for multiple signals at established loci

Author: Rachel H. Mackey, Yingchang Lu, Fredrick R. Schumacher, Yii-Der Ida Chen, Mark Leppert, Mariaelisa Graff, Paul R. Smokowski, M. Larissa Avilés-Santa, Steven Buyske, Kari E. North, Martha L. Daviglus, Kent D. Taylor, Christopher A. Haiman, Tara C. Matise, Unhee Lim, Ross L. Prentice, Jian Gong, Cora E. Lewis, William S. Bush, Nora Franceschini, Tzung-Dau Wang, Chao A. Hsiung, Myron D. Gross, Jeffrey Haessler, Heather M. Highland, Penny Gordon-Larsen, Erwin P. Bottinger, Marylyn D. Ritchie, Wen Jane Lee, Themistocles L. Assimes, Lynne R. Wilkens, I. Te Lee, Ulrike Peters, Xiuqing Guo, Myriam Fornage, Jerome I. Rotter, Whitney R. Robinson, Devin Absher, Georg Ehret, Yi Jen Hung, Yang Hai, Robert Goodloe, Lucia A. Hindorff, Sachiko Yoneyama, Loic Le Marchand, Charles Kooperberg, Khanh-Dung H. Nguyen, Rongling Li, JoAnn E. Manson, Petra Buzkova, Carmen R. Isasi, Denise K. Houston, C. Charles Gu, Wayne Huey-Herng Sheu, Marguerite R. Irvin, Loos R, I. Chien Wu, Lindsay Fernández-Rhodes, Y Liu, Katherine K. Nishimura, Lewis H. Kuller, Jyh-Ming Jimmy Juang, Ran Tao, Yujie Wang, Thomas Quertermous, and Dana C. Crawford
Subjects: 0301 basic medicine, Population, Genomics, Single-nucleotide polymorphism, 030105 genetics & heredity, Biology, Disease cluster, Population stratification, Article, Body Mass Index, Paediatrics and Reproductive Medicine, 03 medical and health sciences, Complementary and Alternative Medicine, Ethnicity, Genetics, Humans, Obesity, education, Allele frequency, Genetics (clinical), Genetics & Heredity, education.field_of_study, Human Genome, Human genetics, Genetics, Population, 030104 developmental biology, Body mass index
Abstract: Most body mass index (BMI) genetic loci have been identified in studies of primarily European ancestries. The effect of these loci in other racial/ethnic groups is less clear. Thus, we aimed to characterize the generalizability of 170 established BMI variants, or their proxies, to diverse US populations and trans-ethnically fine-map 36 BMI loci using a sample of >102,000 adults of African, Hispanic/Latino, Asian, European and American Indian/Alaskan Native descent from the Population Architecture using Genomics and Epidemiology Study. We performed linear regression of the natural log of BMI (18.5-70kg/m2) on the additive single nucleotide polymorphisms (SNPs) at BMI loci on the MetaboChip (Illumina, Inc.), adjusting for age, sex, population stratification, study site, or relatedness. We then performed fixed-effect meta-analyses and a Bayesian trans-ethnic meta-analysis to empirically cluster by allele frequency differences. Finally, we approximated conditional and joint associations to test for the presence of secondary signals. We noted directional consistency with the previously reported risk alleles beyond what would have been expected by chance (binomial p&nbsp
Published: 2017
Full Text: View/download PDF

46. Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis

Author: Ruth Tal-Singer, Dandi Qiao, David A. Lomas, David A. Schwartz, Robert P. Chase, Amund Gulsvik, Maxime Lamontagne, Judith M. Vonk, George T. O'Connor, Matthijs Oudkerk, Iwona Hawryłkiewicz, Per Bakke, Harry J. de Koning, Eugene R. Bleecker, Terri H. Beaty, Mi Kyeong Lee, Peter D. Paré, Nora Franceschini, Lies Lahousse, Deborah A. Meyers, Nicholas Locantore, María Soler Artigas, Xin-Qun Wang, Wim Timens, James D. Crapo, Victoria E. Jackson, Jemma B. Wilk, Jørgen Vestbo, Megan Hardin, Pawel Sliwinski, Stephen I. Rennard, Prescott G. Woodruff, Dirkje S. Postma, Peter J. Castaldi, Jae-Joon Yim, Stephen S. Rich, Guy Brusselle, Elizabeth J. Ampleford, Nick Shrine, R. Graham Barr, Harry J.M. Groen, André G. Uitterlinden, Shuguang Leng, Deog Kyeom Kim, Yohan Bossé, Steven A. Belinsky, William MacNee, Bruce M. Psaty, Stephanie J. London, Augusto A. Litonjua, Brian D. Hobbs, Traci M. Bartz, David P. Strachan, Martin D. Tobin, Woo Jin Kim, Ani Manichaikul, Ian P. Hall, Tasha E. Fingerlin, Kim de Jong, Sina A. Gharib, Louise V. Wain, John E. Hokanson, Josée Dupuis, Yohannes Tesfaigzi, Bruno H. Stricker, Edwin K. Silverman, Yeon-Mok Oh, Kari E. North, Susan R. Heckbert, Jan Willem J. Lammers, Annah B. Wyss, Jeanne C. Latourelle, David Sparrow, Michael H. Cho, Pieter Zanen, H. Marike Boezen, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Groningen Research Institute for Asthma and COPD (GRIAC), Life Course Epidemiology (LCE), Psychiatry, Public Health, Epidemiology, Pulmonary Medicine, and Internal Medicine
Subjects: Male, 0301 basic medicine, Pulmonary Fibrosis, Genome-wide association study, EMPHYSEMA, VARIANTS, SUSCEPTIBILITY, Genome-wide association studies, AIR-FLOW OBSTRUCTION, Pulmonary Disease, Chronic Obstructive, Risk Factors, Pulmonary fibrosis, Lung, Aged, 80 and over, Genetics, COPD, education.field_of_study, I INTERFERON, Smoking, Middle Aged, Phenotype, medicine.anatomical_structure, Female, Adult, Population, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Journal Article, medicine, Humans, Genetic Predisposition to Disease, SMOKING-BEHAVIOR, Allele, GENOME-WIDE ASSOCIATION, education, Alleles, Aged, Genetic association, Asthma, Respiratory tract diseases, COMPLEX TRAITS, medicine.disease, SURFACTANT PROTEIN-D, respiratory tract diseases, 030104 developmental biology, Genetic Loci, Immunology, Genome-Wide Association Study
Abstract: Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide(1). We performed a genetic association study in 15,256 cases and 47,936 controls, with replication of select top results (P
Published: 2017

47. A powerful statistical framework for generalization testing in GWAS, with application to the HCHS/SOL

Author: Alex P. Reiner, Christy L. Avery, Tamar Sofer, Timothy A. Thornton, Marina Bogomolov, Kenneth Rice, Ruth Heller, Yoav Benjamini, Kathleen F. Kerr, Cathy C. Laurie, Kari E. North, and Mariaelisa Graff
Subjects: 0301 basic medicine, False discovery rate, education.field_of_study, Epidemiology, Generalization, Population, Genome-wide association study, Single-nucleotide polymorphism, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Multiple comparisons problem, Statistics, education, Null hypothesis, 030217 neurology & neurosurgery, Genetics (clinical), Genetic association, Mathematics
Abstract: In genome-wide association studies (GWAS), "generalization" is the replication of genotype-phenotype association in a population with different ancestry than the population in which it was first identified. Current practices for declaring generalizations rely on testing associations while controlling the family-wise error rate (FWER) in the discovery study, then separately controlling error measures in the follow-up study. This approach does not guarantee control over the FWER or false discovery rate (FDR) of the generalization null hypotheses. It also fails to leverage the two-stage design to increase power for detecting generalized associations. We provide a formal statistical framework for quantifying the evidence of generalization that accounts for the (in)consistency between the directions of associations in the discovery and follow-up studies. We develop the directional generalization FWER (FWERg ) and FDR (FDRg ) controlling r-values, which are used to declare associations as generalized. This framework extends to generalization testing when applied to a published list of Single Nucleotide Polymorphism-(SNP)-trait associations. Our methods control FWERg or FDRg under various SNP selection rules based on P-values in the discovery study. We find that it is often beneficial to use a more lenient P-value threshold than the genome-wide significance threshold. In a GWAS of total cholesterol in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), when testing all SNPs with P-values
Published: 2017
Full Text: View/download PDF

48. BMI loci and longitudinal BMI from adolescence to young adulthood in an ethnically diverse cohort

Author: K. Mullan Harris, Karen L. Mohlke, Penny Gordon-Larsen, Ethan M. Lange, Mariaelisa Graff, Kari E. North, Angela L. Mazul, Allyson Richardson, Leslie A. Lange, Kris Young, and Heather M. Highland
Subjects: Male, 0301 basic medicine, Gerontology, obesity, Hispanic-American, Adolescent, Endocrinology, Diabetes and Metabolism, National Longitudinal Study of Adolescent Health, Gene-environment interactions, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Medicine (miscellaneous), Weight Gain, Mitochondrial Membrane Transport Proteins, Polymorphism, Single Nucleotide, Article, Body Mass Index, Cohort Studies, Young Adult, 03 medical and health sciences, Ethnicity, medicine, Humans, Genetic Predisposition to Disease, Hispanic population, Young adult, African-American, Nutrition and Dietetics, business.industry, Genetic Variation, Membrane Proteins, nutritional and metabolic diseases, respiratory system, Ethnically diverse, medicine.disease, Obesity, United States, BMI change, DNA-Binding Proteins, 030104 developmental biology, Transcription Factor AP-2, Genetic Loci, Cohort, Receptor, Melanocortin, Type 4, adolescence, Female, business, human activities, Genome-Wide Association Study, Adolescent health
Abstract: Objective The association of obesity susceptibility variants with change in body mass index (BMI) across the life course is not well understood. Subjects In ancestry stratified models of 5,962 European American (EA), 2,080 African American (AA), and 1,582 Hispanic American (HA) individuals from the National Longitudinal Study of Adolescent to Adult Health (Add Health), we examined associations between 34 obesity SNPs with per year change in BMI, measured by the slope from a growth-curve analysis of two or more BMI measurements between adolescence and young adulthood. For SNPs nominally associated with BMI change (p
Published: 2016
Full Text: View/download PDF

49. Gut microbiome composition in the Hispanic Community Health Study/Study of Latinos is shaped by geographic relocation, environmental factors, and obesity

Author: Bharat Thyagarajan, Kari E. North, Jee-Young Moon, Qibin Qi, Tao Wang, Carmen R. Isasi, Zheng Wang, Daniela Sotres-Alvarez, Marc D. Gellman, Robert C. Kaplan, Michael C. Wu, Robert D. Burk, Daniel McDonald, Rob Knight, Martha L. Daviglus, Justin P. Shaffer, Jessica Williams-Nguyen, Mykhaylo Usyk, Gregory A. Talavera, Neil Schneiderman, Christopher C. Sollecito, and Yoshiki Vázquez-Baeza
Subjects: Male, Epidemiology, Coriobacteriaceae, Oral and gastrointestinal, Cohort Studies, 0302 clinical medicine, Prevotella, 030212 general & internal medicine, lcsh:QH301-705.5, 2. Zero hunger, 0303 health sciences, biology, Hispanic or Latino, Emigration and Immigration, Middle Aged, Biological Sciences, Health equity, Community health, Female, Hispanic Americans, Ruminococcaceae, Adult, lcsh:QH426-470, Bioinformatics, Hispanic population, 03 medical and health sciences, Information and Computing Sciences, medicine, Humans, Microbiome, Obesity, Nutrition, 030304 developmental biology, Aged, Research, biology.organism_classification, medicine.disease, Diet, Gastrointestinal Microbiome, lcsh:Genetics, Good Health and Well Being, Latin America, lcsh:Biology (General), Bacteroides, Acculturation, Environmental Sciences, Demography, Mycobiome
Abstract: Background Hispanics living in the USA may have unrecognized potential birthplace and lifestyle influences on the gut microbiome. We report a cross-sectional analysis of 1674 participants from four centers of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), aged 18 to 74 years old at recruitment. Results Amplicon sequencing of 16S rRNA gene V4 and fungal ITS1 fragments from self-collected stool samples indicate that the host microbiome is determined by sociodemographic and migration-related variables. Those who relocate from Latin America to the USA at an early age have reductions in Prevotella to Bacteroides ratios that persist across the life course. Shannon index of alpha diversity in fungi and bacteria is low in those who relocate to the USA in early life. In contrast, those who relocate to the USA during adulthood, over 45 years old, have high bacterial and fungal diversity and high Prevotella to Bacteroides ratios, compared to USA-born and childhood arrivals. Low bacterial diversity is associated in turn with obesity. Contrasting with prior studies, our study of the Latino population shows increasing Prevotella to Bacteroides ratio with greater obesity. Taxa within Acidaminococcus, Megasphaera, Ruminococcaceae, Coriobacteriaceae, Clostridiales, Christensenellaceae, YS2 (Cyanobacteria), and Victivallaceae are significantly associated with both obesity and earlier exposure to the USA, while Oscillospira and Anaerotruncus show paradoxical associations with both obesity and late-life introduction to the USA. Conclusions Our analysis of the gut microbiome of Latinos demonstrates unique features that might be responsible for health disparities affecting Hispanics living in the USA.
Published: 2019

50. Associations of autozygosity with a broad range of human phenotypes

Author: Dennis O. Mook-Kanamori, Salma M. Wakil, Lisa R. Yanek, Dominique P.V. de Kleijn, Gert J. de Borst, Alison D. Murray, Kamran Guity, Vincent W. V. Jaddoe, Mario Pirastu, Carole Ober, Giuseppe Matullo, Charles N. Rotimi, Daniela Ruggiero, Teresa Tusié-Luna, Wolfgang Lieb, Chew-Kiat Heng, John R. B. Perry, Hortensia Moreno-Macías, Jie Zhou, John M. Starr, Juhani Junttila, Lei Yu, Danielle Posthuma, Marcus Dörr, Yingchang Lu, Jonathan P. Bradfield, Einat Granot-Hershkovitz, Karina Meidtner, Wouter van Rheenen, T Esko, Maris Alver, Wen-Jane Lee, Zhengming Chen, Jennifer A. Brody, Paolo Gasparini, Yii-Der Ida Chen, Cinzia Sala, Peter P. Pramstaller, Gauri Prasad, Nana Matoba, Natalie Terzikhan, Simonetta Guarrera, Bjarke Feenstra, Peter Vollenweider, Smeeta Shrestha, Yi-Jen Hung, Lilja Stefansdottir, David R. Weir, Felix R. Day, Antonietta Robino, Liang Zhang, Lluis Quintana-Murci, Nicholas J. Timpson, Robyn E Wootton, Xue W. Mei, Dharambir K. Sanghera, Gisli Masson, Debbie A Lawlor, Thomas Meitinger, Sharon L.R. Kardia, Peter K. Joshi, Frank J. A. van Rooij, Claude Bouchard, Cassandra N. Spracklen, Ken K. Ong, Taulant Muka, Guanjie Chen, Laura J. Scott, Walter Palmas, Daniel I. Chasman, Sarah E. Medland, Krista Fischer, Blair H. Smith, Jon K. Sigurdsson, Leon Straker, Clara Viberti, Yuan Shi, Louis Pérusse, Peter J. van der Most, Timo Tõnis Sikka, Chris Haley, Kuang Lin, Leif Groop, Hester M. den Ruijter, Hakon Hakonarson, Masato Akiyama, Stephan J. L. Bakker, Sonja I. Berndt, Jeffery R. O'Connell, Cisca Wijmenga, Daniele Cusi, Lorena Orozco, Kristjan H. S. Moore, Kevin Sandow, Stephen S. Rich, Stephanie J. Loomis, George Davey Smith, Cornelia M. van Duijn, Sharvari Rahul Shukla, Agnar Helgason, Thorsten Kessler, Anuj Goel, Dan Mason, David W. Clark, James S. Pankow, Simona Vaccargiu, Uwe Völker, Tamara B. Harris, Matthew A. Allison, Clicerio Gonzalez, Sarju Ralhan, I-Te Lee, Matthias Laudes, Yen-Feng Chiu, Neil Poulter, Benjamin Lehne, John Wright, Lawrence F. Bielak, Philip L. De Jager, Reinhold Schmidt, Ya Xing Wang, Matthias Nauck, Diana L. Cousminer, Patrick Deelen, Ani Manichaikul, Stephen J. Chanock, Anders Hamsten, Barry I. Freedman, Gudmar Thorleifsson, Peter Kraft, Ozren Polasek, Jie Yao, Yoshinori Murakami, Paul M. Ridker, Anubha Mahajan, Struan F.A. Grant, Claudia Schurmann, Bjarni Gunnarsson, Catriona L. K. Barnes, Jessica van Setten, Sandosh Padmanabhan, Alena Stančáková, Markus M. Lerch, Anuradha Jagadeesan, Franco Giulianini, Daniel F. Gudbjartsson, Dwaipayan Bharadwaj, Shengchao Alfred Li, Peter S. Sever, Trevor A. Mori, Albertine J. Oldehinkel, Koichi Matsuda, Xueling Sim, Evangelos Evangelou, André G. Uitterlinden, Pekka Jousilahti, Yukihide Momozawa, Ioanna Tzoulaki, Chao A. Hsiung, Ginevra Biino, Murielle Bochud, Hannele Mattsson, Ilja M. Nolte, Sarah H. Wild, Patricia B. Munroe, Jianjun Liu, Bruce M. Psaty, Giriraj R. Chandak, Masahiro Kanai, Tony R. Merriman, Teemu Palviainen, Rodney A. Lea, Janie Corley, Nicholas J. Wareham, Alan B. Zonderman, Makoto Hirata, Matthew J. Bixley, Caroline Hayward, Nora Franceschini, Kristel R van Eijk, Etienne Patin, Daniel Shriner, Niek Verweij, Xiuqing Guo, Fredrik Karpe, Ruth J. F. Loos, Tiinamaija Tuomi, Ashley van der Spek, Patricia A. Peyser, Jessica D. Faul, Christian Fuchsberger, David Cesarini, Alex S. F. Doney, Janine F. Felix, Cornelius A. Rietveld, Jagadish Vangipurapu, Tanguy Corre, Line Skotte, Rajkumar Dorajoo, Catherine Igartua, Meena Kumari, Nona Sotoodehnia, Leonard H. van den Berg, Najaf Amin, Dale R. Nyholt, Harry Campbell, Massimiliano Cocca, Scott D. Gordon, Patrik K. E. Magnusson, John C. Chambers, Traci M. Bartz, Mike A. Nalls, Tin Aung, Nduna Dzimiri, Colin N. A. Palmer, Rob M. van Dam, Johanna Kuusisto, Russell P. Tracy, Anna Damulina, Pierre-Emmanuel Morange, Sylvain Foisy, Jing Hua Zhao, Nicholas G. Martin, Ching-Yu Cheng, Mariaelisa Graff, Rashmi B. Prasad, Alice Stanton, David-Alexandre Trégouët, Yu Guo, Helen R. Warren, Lyn R. Griffiths, Weihua Meng, Annika Tillander, Christa Meisinger, Albert V. Smith, Mark I. McCarthy, Jingyun Yang, Marine Germain, Neil Small, Linda Broer, Vilmundur Gudnason, Gunnar K. Pálsson, Michele K. Evans, Alexander Teumer, Mark J. Caulfield, Giorgia Girotto, Thomas Lumley, Tinca J. C. Polderman, Wei Zhao, Carlos A. Aguilar-Salinas, Jari Lahti, Matthew L. Albert, Yechiel Friedlander, Veikko Salomaa, Iona Y Millwood, Jan H. Veldink, Archie Campbell, Andres Metspalu, Ulf Gyllensten, Grant W. Montgomery, Veronique Vitart, Jai Rup Singh, Saima Afaq, Alan R. Shuldiner, Miao-Li Chee, Adebowale Adeyemo, Jennifer A. Smith, David A. van Heel, Jaspal S. Kooner, Daniela Toniolo, Cristian Pattaro, Jerome I. Rotter, John Whitfield, Melissa C. Smart, Kari E. North, Salman M. Tajuddin, Tallapragada Divya Sri Priyanka, Christopher A. Haiman, Diane M. Becker, Bernhard K. Krämer, Paul Elliott, Lihua Wang, He Gao, Patrick Sulem, Jinyan Huang, Chiea Chuen Khor, Ruifang Li-Gao, Åsa Johansson, Winfried März, Shai Carmi, Ilaria Gandin, Eric Boerwinkle, Gardar Sveinbjornsson, Saskia P. Hagenaars, Sander W. van der Laan, Gerard Pasterkamp, E-Shyong Tai, Hagit Hochner, Yih Chung Tham, Kent D. Taylor, Kari Stefansson, Matt J. Neville, Craig E. Pennell, Yanchun Bao, Annelot M. Dekker, Helena Schmidt, Mehdi Hedayati, Joshua Elliott, Ian J. Deary, Iris E. Jansen, Judith B. Borja, Edith Hofer, Martin Gögele, Igor Rudan, Lude Franke, Matthias Munz, Folkert W. Asselbergs, Bengt Sennblad, Imo Hofer, John D. Rioux, Pim van der Harst, Bahareh Sedaghati-khayat, Giovanni Cugliari, Morris A. Swertz, Francine Grodstein, Erwin P. Bottinger, Carol A. Wang, Andre Franke, Brian F. Meyer, Adele M. Taylor, Klodian Dhana, Jian'an Luan, Constance Turman, Robert A. Scott, May E. Montasser, Alison Pattie, Marco Brumat, Liming Li, Heiner Boeing, Karen L. Mohlke, Clemens Baumbach, Bishwa Raj Sapkota, Unnur Thorsteinsdottir, Naveed Sattar, Amy R. Bentley, Matthias B. Schulze, Ivana Kolcic, Stella Trompet, Sarah E. Harris, Ayo P. Doumatey, Charumathi Sabanayagam, David Eccles, Mary F. Feitosa, Jost B. Jonas, Massimo Mezzavilla, Mark O. Goodarzi, David Ellinghaus, Heribert Schunkert, Christian Gieger, Heikki V. Huikuri, Lingyao Zeng, Johan G. Eriksson, Woon-Puay Koh, Yucheng Jia, Gurpreet Singh Wander, James F. Wilson, Torgny Karlsson, Steven C. Hunt, Weihua Zhang, Maria Pina Concas, Zoltán Kutalik, Rebecca Rohde, Chittaranjan S. Yajnik, Yasaman Saba, Dabeeru C. Rao, Robin G. Walters, Reedik Mägi, Marie Loh, Eero Vuoksimaa, Josyf C. Mychaleckyj, Katri Räikkönen, Philippe Goyette, M. Arfan Ikram, Alicia Huerta-Chagoya, David J. Porteous, Teresa Nutile, J. Wouter Jukema, Noha A. Yousri, Yoichiro Kamatani, Maryam S. Daneshpour, Babette S. Zemel, Rona J. Strawbridge, Tien Yin Wong, Claudia Langenberg, Amy Moore, Marcus E. Kleber, Fereidoun Azizi, Avner Halevy, Erika Salvi, Francis S. Collins, Markku Laakso, Tim Kacprowski, S. Sunna Ebenesersdóttir, William R. Scott, Michael Boehnke, Jin-Fang Chai, Markus Perola, Nicola Pirastu, Wayne Huey-Herng Sheu, Robert Karlsson, Lenore J. Launer, Lili Milani, Renée de Mutsert, Fernando Rivadeneira, David A. Bennett, Nicola D. Kerrison, Paolo Manunta, Graciela E. Delgado, Magnus Johannesson, Carolina Medina-Gomez, Alanna C. Morrison, Kay-Tee Khaw, Jian-Min Yuan, Jaakko Kaprio, Melanie Waldenberger, Ralf Ewert, Hugoline G. de Haan, Andrew A. Hicks, Yukinori Okada, Maria Sabater-Lleal, Marilyn C. Cornelis, Stephanie J. London, Federica Rizzi, Jeanette Erdmann, Marina Ciullo, Michiaki Kubo, University of Edinburgh, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Osaka University Graduate School of Medicine, Laboratory for Cardiovascular Genomics and Informatics [Yokohama] (RIKEN IMS), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN)-RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), deCODE genetics [Reykjavik], Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK (BIHR), Area Science Park, Università degli studi di Trieste = University of Trieste, MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Harbor UCLA Medical Center [Torrance, Ca.], Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, Department of Electrical and Computer Engineering [Waterloo] (ECE), University of Waterloo [Waterloo], Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Institute of Pop. Genetics, CNR, Sassari, Shardna life science Pula Cagliari, Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne = University of Lausanne (UNIL), Medstar Research Institute, Florida State University [Tallahassee] (FSU), University Medical Center [Utrecht], Centre for Population Health Sciences, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), California State University [Sacramento], Department of Thrombosis and Haemostasis, Leiden University Medical Center (LUMC), Universiteit Leiden-Universiteit Leiden, Medical University Graz, Department of Neurology, Alzheimer Centre, VU Medical Centre, Amsterdam, Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Heidelberg, Frederick National Laboratory for Cancer Research (FNLCR), Wellcome Trust Centre of Human Genetics, University of Oxford, Department of Epidemiology, German Institute of Human Nutrition, University Medical Center Groningen [Groningen] (UMCG), Institute of Genetics and Biophysics, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Department of Medicine, Surgery, and Dentistry, University of Milano, Icelandic Heart Association, Kopavogur, Iceland., Department of Epidemiology [Rotterdam], Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Glasgow, Department of Cardiology, Leiden University Medical Center, Leiden, Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, Queen Mary University of London (QMUL), General Internal Medicine, Johns Hopkins School of Medicine, Johns Hopkins University School of Medicine [Baltimore], Institut de biologie moléculaire des plantes (IBMP), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Translationnelle - Center for Translational Science (CRT), Institut Pasteur [Paris] (IP), Genentech, Inc., Genentech, Inc. [San Francisco], University of Tartu, Duke-NUS Medical School [Singapore], Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DifE), Leibniz Association, Human Genome Sequencing Center, Baylor College of Medicine, Baylor College of Medicine (BCM), Baylor University-Baylor University, University of San Carlos, Office of Population Studies Foundation, Icahn School of Medicine at Mount Sinai [New York] (MSSM), King‘s College London, Division of Cancer Epidemiology and Genetics, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), University of Oxford, Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Division of Molecular & Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, Department of Internal Medicine B, University Medicine Greifswald, Greifswald, University of Chicago, University of Huddersfield, Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Section on Nephrology [Winston-Salem, NC, USA] (Department of Internal Medicine), Wake Forest School of Medicine [Winston-Salem], Wake Forest Baptist Medical Center-Wake Forest Baptist Medical Center, Radcliffe Department of Medicine [Oxford], Harvard School of Public Health, Kunming University of Science and Technology (KMUST), Sans affiliation, University of Southern California (USC), National Institute on Aging [Bethesda, USA] (NIA), National Institutes of Health [Bethesda] (NIH), Centre National de Génotypage (CNG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), MRC Centrer for Nutritional Epidemiology and Cancer Prevention and Survival, University of Cambridge [UK] (CAM), National University of Singapore (NUS), Experimental Cardiology Laboratory (ECL), Unirversity Medical Center, Department of Medical Statistics, Epidemiology and Medical Informatics, University of Zagreb, Department of Medical Genetics, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Capital Normal University [Beijing], Saw Swee Hock School of Public Health, National Institute for Environmental Health Sciences Research Triangle Park, Brown University, MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, Toyota Research Institute, Helmholtz Zentrum München = German Research Center for Environmental Health, Department of Chemistry and Biochemistry [Boulder], University of Colorado [Boulder], Centre recherche en CardioVasculaire et Nutrition = Center for CardioVascular and Nutrition research (C2VN), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital de la Timone [CHU - APHM] (TIMONE), Metacohorts Consortium, Universiteit Leiden, Institute of Clinical Chemistry and Laboratory Medicine, University of Groningen [Groningen], Medical Research Concil Epidemiology Unit, Institute of Medical Science, Faculty of Medicine, Genetics and Pathology, Imperial College London, Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Brigham and Women's Hospital [Boston], Erasmus University Rotterdam, Department of Chronic Disease Prevention, National Institute for Health and Welfare [Helsinki], Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU), Stockholm Bioinformatics Center (SBC), Stockholm University, Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, INRH, Department of Genetics, Los Angeles Biomedical Research Institute (LA BioMed), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán - National Institute of Medical Science and Nutrition Salvador Zubiran [Mexico], Western General Hospital, German Research Center for Environmental Health - Helmholtz Center München (GmbH), Medical Research Council, Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute-University of Pittsburgh Graduate School of Public Health, Zhengzhou University of Light Industry, Department of Electrical and Electronic Engineering [Niigata Univ.], Niigata University, Genetic Epidemiology Unit, University College of London [London] (UCL), Aston Business School, Aston University [Birmingham], Division of Cancer Epidemiology and Genetics [Bethesda, MD, États-Unis], Centre Hospitalier Universitaire Vaudois (CHUV), Pennington Biomedical Research Center, University of Washington [Seattle], Guy's and St Thomas' Hospitals, Northwestern Polytechnical University [Xi'an] (NPU), Department of Social Medicine, University of Bristol [Bristol], Department of Genomics of Common Disease [London, UK], Imperial College London-Hammersmith Hospital NHS Imperial College Healthcare, Department of Internal Medicine, Institute of Clinical Molecular Biology, Kiel University, Medizinische Klinik II, Universität zu Lübeck = University of Lübeck [Lübeck], Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina, Institute for Social Research, University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, Institute for Clinical Molecular Biology, Christian-Albrechts-Universität zu Kiel (CAU), Department of Physics, RISSC-Lab-University of Naples Federico II = Università degli studi di Napoli Federico II, Lund University [Lund], Icelandic Heart Association, Heart Preventive Clinic and Research Institute, The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Génétique moléculaire de la neurotransmission et des processus neurodégénératifs (LGMNPN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Medical Research Center Oulu, University of Oulu, University of Utah School of Medicine [Salt Lake City], The Generation R Study, Pediatrics, Epidemiology, Center for Translational and Computational Neuroimmunology [New York, NY, États-Unis] (CTCN), Department of Neurology [New York, NY, États-Unis], Columbia University Medical Center (CUMC), Columbia University [New York]-Columbia University [New York]-Columbia University Medical Center (CUMC), Columbia University [New York]-Columbia University [New York], Universität Heidelberg [Heidelberg] = Heidelberg University, Interuniversity Cardiology Institute Netherlands, School of Public Health, University of Michigan [Dearborn], Department of Epidemiology and Public Health, University of Kuopio, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Institute of Epidemiology and Biobank PopGen, Department of Biostatistics, University of Washington, Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Clinical Institute of Medical and Chemical Laboratory Diagnostics, Karl-Franzens-Universität Graz, Department of Genetics, Biology and Biochemistry, Università degli studi di Torino = University of Turin (UNITO), Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), QIMR Berghofer Medical Research Institute, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (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, University of Illinois [Chicago] (UIC), University of Illinois System, Experimental Cardiology Laboratory, Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Functional Genomics, Erasmus Medical Centre, National Human Genome Research Institute (NHGRI), School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC), Department of Pathological Biochemistry, Royal Infirmary, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Institute of Metabolic Science, MRC, University of Maryland School of Medicine [Baltimore, MD, USA], Centre for Molecular Epidemiology, Centre for Causal Analyses in Translational Epidemiology, University of Bristol [Bristol]-Medical Research Council, IRCCS San Raffaele Scientific Institute [Milan, Italie], U937, Génomique cardiovasculaire, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), 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), Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), University of Michigan System, HMNC Brain Health, Singapore Eye Research Institute, Partenaires INRAE, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, University of Groningen, Department of Genomics of Common Disease, Department of Microbiology, The Freeman Hospital, Department Biostatistics University of North Carolina, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Clark, D. W., Okada, Y., Moore, K. H. S., Mason, D., Pirastu, N., Gandin, I., Mattsson, H., Barnes, C. L. K., Lin, K., Zhao, J. H., Deelen, P., Rohde, R., Schurmann, C., Guo, X., Giulianini, F., Zhang, W., Medina-Gomez, C., Karlsson, R., Bao, Y., Bartz, T. M., Baumbach, C., Biino, G., Bixley, M. J., Brumat, M., Chai, J. -F., Corre, T., Cousminer, D. L., Dekker, A. M., Eccles, D. A., van Eijk, K. R., Fuchsberger, C., Gao, H., Germain, M., Gordon, S. D., de Haan, H. G., Harris, S. E., Hofer, E., Huerta-Chagoya, A., Igartua, C., Jansen, I. E., Jia, Y., Kacprowski, T., Karlsson, T., Kleber, M. E., Li, S. A., Li-Gao, R., Mahajan, A., Matsuda, K., Meidtner, K., Meng, W., Montasser, M. E., van der Most, P. J., Munz, M., Nutile, T., Palviainen, T., Prasad, G., Prasad, R. B., Priyanka, T. D. S., Rizzi, F., Salvi, E., Sapkota, B. R., Shriner, D., Skotte, L., Smart, M. C., Smith, A. V., van der Spek, A., Spracklen, C. N., Strawbridge, R. J., Tajuddin, S. M., Trompet, S., Turman, C., Verweij, N., Viberti, C., Wang, L., Warren, H. R., Wootton, R. E., Yanek, L. R., Yao, J., Yousri, N. A., Zhao, W., Adeyemo, A. A., Afaq, S., Aguilar-Salinas, C. A., Akiyama, M., Albert, M. L., Allison, M. A., Alver, M., Aung, T., Azizi, F., Bentley, A. R., Boeing, H., Boerwinkle, E., Borja, J. B., de Borst, G. J., Bottinger, E. P., Broer, L., Campbell, H., Chanock, S., Chee, M. -L., Chen, G., Chen, Y. -D. I., Chen, Z., Chiu, Y. -F., Cocca, M., Collins, F. S., Concas, M. P., Corley, J., Cugliari, G., van Dam, R. M., Damulina, A., Daneshpour, M. S., Day, F. R., Delgado, G. E., Dhana, K., Doney, A. S. F., Dorr, M., Doumatey, A. P., Dzimiri, N., Ebenesersdottir, S. S., Elliott, J., Elliott, P., Ewert, R., Felix, J. F., Fischer, K., Freedman, B. I., Girotto, G., Goel, A., Gogele, M., Goodarzi, M. O., Graff, M., Granot-Hershkovitz, E., Grodstein, F., Guarrera, S., Gudbjartsson, D. F., Guity, K., Gunnarsson, B., Guo, Y., Hagenaars, S. P., Haiman, C. A., Halevy, A., Harris, T. B., Hedayati, M., van Heel, D. A., Hirata, M., Hofer, I., Hsiung, C. A., Huang, J., Hung, Y. -J., Ikram, M. A., Jagadeesan, A., Jousilahti, P., Kamatani, Y., Kanai, M., Kerrison, N. D., Kessler, T., Khaw, K. -T., Khor, C. C., de Kleijn, D. P. V., Koh, W. -P., Kolcic, I., Kraft, P., Kramer, B. K., Kutalik, Z., Kuusisto, J., Langenberg, C., Launer, L. J., Lawlor, D. A., Lee, I. -T., Lee, W. -J., Lerch, M. M., Li, L., Liu, J., Loh, M., London, S. J., Loomis, S., Lu, Y., Luan, J., Magi, R., Manichaikul, A. W., Manunta, P., Masson, G., Matoba, N., Mei, X. W., Meisinger, C., Meitinger, T., Mezzavilla, M., Milani, L., Millwood, I. Y., Momozawa, Y., Moore, A., Morange, P. -E., Moreno-Macias, H., Mori, T. A., Morrison, A. C., Muka, T., Murakami, Y., Murray, A. D., de Mutsert, R., Mychaleckyj, J. C., Nalls, M. A., Nauck, M., Neville, M. J., Nolte, I. M., Ong, K. K., Orozco, L., Padmanabhan, S., Palsson, G., Pankow, J. S., Pattaro, C., Pattie, A., Polasek, O., Poulter, N., Pramstaller, P. P., Quintana-Murci, L., Raikkonen, K., Ralhan, S., Rao, D. C., van Rheenen, W., Rich, S. S., Ridker, P. M., Rietveld, C. A., Robino, A., van Rooij, F. J. A., Ruggiero, D., Saba, Y., Sabanayagam, C., Sabater-Lleal, M., Sala, C. F., Salomaa, V., Sandow, K., Schmidt, H., Scott, L. J., Scott, W. R., Sedaghati-Khayat, B., Sennblad, B., van Setten, J., Sever, P. J., Sheu, W. H. -H., Shi, Y., Shrestha, S., Shukla, S. R., Sigurdsson, J. K., Sikka, T. T., Singh, J. R., Smith, B. H., Stancakova, A., Stanton, A., Starr, J. M., Stefansdottir, L., Straker, L., Sulem, P., Sveinbjornsson, G., Swertz, M. A., Taylor, A. M., Taylor, K. D., Terzikhan, N., Tham, Y. -C., Thorleifsson, G., Thorsteinsdottir, U., Tillander, A., Tracy, R. P., Tusie-Luna, T., Tzoulaki, I., Vaccargiu, S., Vangipurapu, J., Veldink, J. H., Vitart, V., Volker, U., Vuoksimaa, E., Wakil, S. M., Waldenberger, M., Wander, G. S., Wang, Y. X., Wareham, N. J., Wild, S., Yajnik, C. S., Yuan, J. -M., Zeng, L., Zhang, L., Zhou, J., Amin, N., Asselbergs, F. W., Bakker, S. J. L., Becker, D. M., Lehne, B., Bennett, D. A., van den Berg, L. H., Berndt, S. I., Bharadwaj, D., Bielak, L. F., Bochud, M., Boehnke, M., Bouchard, C., Bradfield, J. P., Brody, J. A., Campbell, A., Carmi, S., Caulfield, M. J., Cesarini, D., Chambers, J. C., Chandak, G. R., Cheng, C. -Y., Ciullo, M., Cornelis, M., Cusi, D., Smith, G. D., Deary, I. J., Dorajoo, R., van Duijn, C. M., Ellinghaus, D., Erdmann, J., Eriksson, J. G., Evangelou, E., Evans, M. K., Faul, J. D., Feenstra, B., Feitosa, M., Foisy, S., Franke, A., Friedlander, Y., Gasparini, P., Gieger, C., Gonzalez, C., Goyette, P., Grant, S. F. A., Griffiths, L. R., Groop, L., Gudnason, V., Gyllensten, U., Hakonarson, H., Hamsten, A., van der Harst, P., Heng, C. -K., Hicks, A. A., Hochner, H., Huikuri, H., Hunt, S. C., Jaddoe, V. W. V., De Jager, P. L., Johannesson, M., Johansson, A., Jonas, J. B., Jukema, J. W., Junttila, J., Kaprio, J., Kardia, S. L. R., Karpe, F., Kumari, M., Laakso, M., van der Laan, S. W., Lahti, J., Laudes, M., Lea, R. A., Lieb, W., Lumley, T., Martin, N. G., Marz, W., Matullo, G., Mccarthy, M. I., Medland, S. E., Merriman, T. R., Metspalu, A., Meyer, B. F., Mohlke, K. L., Montgomery, G. W., Mook-Kanamori, D., Munroe, P. B., North, K. E., Nyholt, D. R., O'Connell, J. R., Ober, C., Oldehinkel, A. J., Palmas, W., Palmer, C., Pasterkamp, G. G., Patin, E., Pennell, C. E., Perusse, L., Peyser, P. A., Pirastu, M., Polderman, T. J. C., Porteous, D. J., Posthuma, D., Psaty, B. M., Rioux, J. D., Rivadeneira, F., Rotimi, C., Rotter, J. I., Rudan, I., Den Ruijter, H. M., Sanghera, D. K., Sattar, N., Schmidt, R., Schulze, M. B., Schunkert, H., Scott, R. A., Shuldiner, A. R., Sim, X., Small, N., Smith, J. A., Sotoodehnia, N., Tai, E. -S., Teumer, A., Timpson, N. J., Toniolo, D., Tregouet, D. -A., Tuomi, T., Vollenweider, P., Wang, C. A., Weir, D. R., Whitfield, J. B., Wijmenga, C., Wong, T. -Y., Wright, J., Yang, J., Yu, L., Zemel, B. S., Zonderman, A. B., Perola, M., Magnusson, P. K. E., Uitterlinden, A. G., Kooner, J. S., Chasman, D. I., Loos, R. J. F., Franceschini, N., Franke, L., Haley, C. S., Hayward, C., Walters, R. G., Perry, J. R. B., Esko, T., Helgason, A., Stefansson, K., Joshi, P. K., Kubo, M., Wilson, J. F., Læknadeild (HÍ), Faculty of Medicine (UI), Félagsfræði-, mannfræði- og þjóðfræðideild (HÍ), Faculty of Sociology, Anthropology and Folkloristics (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), School of Engineering and Natural Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), Félagsvísindasvið (HÍ), School of Social Sciences (UI), Háskóli Íslands, University of Iceland, Clark, David W [0000-0002-1025-9185], Okada, Yukinori [0000-0002-0311-8472], Moore, Kristjan H S [0000-0002-9579-4362], Mason, Dan [0000-0002-0026-9216], Pirastu, Nicola [0000-0002-5363-3886], Gandin, Ilaria [0000-0003-3196-2491], Deelen, Patrick [0000-0002-5654-3966], Schurmann, Claudia [0000-0003-4158-9192], Medina-Gomez, Carolina [0000-0001-7999-5538], Karlsson, Robert [0000-0002-8949-2587], Bao, Yanchun [0000-0002-6102-5098], Biino, Ginevra [0000-0002-9936-946X], Brumat, Marco [0000-0003-3268-039X], Chai, Jin-Fang [0000-0003-3770-1137], Eccles, David A [0000-0003-4634-4995], Gordon, Scott D [0000-0001-7623-328X], Harris, Sarah E [0000-0002-4941-5106], Kacprowski, Tim [0000-0002-5393-2413], Karlsson, Torgny [0000-0001-8095-6149], Kleber, Marcus E [0000-0003-0663-7275], Mahajan, Anubha [0000-0001-5585-3420], Matsuda, Koichi [0000-0001-7292-2686], Meng, Weihua [0000-0001-5388-8494], van der Most, Peter J [0000-0001-8450-3518], Munz, Matthias [0000-0002-4728-3357], Palviainen, Teemu [0000-0002-7847-8384], Prasad, Rashmi B [0000-0002-4400-6741], Salvi, Erika [0000-0002-2724-2291], Skotte, Line [0000-0002-7398-1271], van der Spek, Ashley [0000-0001-7136-0159], Spracklen, Cassandra N [0000-0003-3590-7182], Strawbridge, Rona J [0000-0001-8506-3585], Tajuddin, Salman M [0000-0002-7919-8528], Verweij, Niek [0000-0002-4303-7685], Yanek, Lisa R [0000-0001-7117-1075], Zhao, Wei [0000-0001-7388-0692], Albert, Matthew L [0000-0001-7285-6973], Bentley, Amy R [0000-0002-0827-9101], Chanock, Stephen [0000-0002-2324-3393], Chen, Zhengming [0000-0001-6423-105X], Chiu, Yen-Feng [0000-0002-3352-4500], Cocca, Massimiliano [0000-0002-1127-7596], Collins, Francis S [0000-0002-1023-7410], Cugliari, Giovanni [0000-0002-6080-0718], Damulina, Anna [0000-0001-8241-2727], Day, Felix R [0000-0003-3789-7651], Dhana, Klodian [0000-0002-6397-7009], Dzimiri, Nduna [0000-0003-3395-5754], Elliott, Paul [0000-0002-7511-5684], Felix, Janine F [0000-0002-9801-5774], Freedman, Barry I [0000-0003-0275-5530], Girotto, Giorgia [0000-0003-4507-6589], Goel, Anuj [0000-0003-2307-4021], Goodarzi, Mark O [0000-0001-6364-5103], Gudbjartsson, Daniel F [0000-0002-5222-9857], Guity, Kamran [0000-0002-8379-9668], van Heel, David A [0000-0002-0637-2265], Hirata, Makoto [0000-0002-9994-9958], Ikram, M Arfan [0000-0003-0372-8585], Kamatani, Yoichiro [0000-0001-8748-5597], Kanai, Masahiro [0000-0001-5165-4408], Khor, Chiea Chuen [0000-0002-1128-4729], Kolcic, Ivana [0000-0001-7918-6052], Langenberg, Claudia [0000-0002-5017-7344], Lawlor, Deborah A [0000-0002-6793-2262], Liu, Jianjun [0000-0002-3255-3019], London, Stephanie J [0000-0003-4911-5290], Luan, Jian’an [0000-0003-3137-6337], Matoba, Nana [0000-0001-5329-0134], Mei, Xue W [0000-0002-6279-4884], Mezzavilla, Massimo [0000-0002-9000-4595], Milani, Lili [0000-0002-5323-3102], Mori, Trevor A [0000-0002-5264-9229], Murakami, Yoshinori [0000-0002-2826-4396], Murray, Alison D [0000-0003-4915-4847], Mychaleckyj, Josyf C [0000-0003-2595-0005], Neville, Matt J [0000-0002-6004-5433], Nolte, Ilja M [0000-0001-5047-4077], Ong, Ken K [0000-0003-4689-7530], Pálsson, Gunnar [0000-0002-8231-3961], Pankow, James S [0000-0001-7076-483X], Pattaro, Cristian [0000-0002-4119-0109], Quintana-Murci, Lluis [0000-0003-2429-6320], van Rheenen, Wouter [0000-0002-5860-1533], Rich, Stephen S [0000-0003-3872-7793], Rietveld, Cornelius A [0000-0003-4053-1861], Ruggiero, Daniela [0000-0003-3898-7827], Sabanayagam, Charumathi [0000-0002-4042-4719], Sabater-Lleal, Maria [0000-0002-0128-379X], Sala, Cinzia Felicita [0000-0003-2514-2075], Salomaa, Veikko [0000-0001-7563-5324], Scott, Laura J [0000-0002-4886-5084], Sedaghati-Khayat, Bahareh [0000-0002-7665-8648], Sennblad, Bengt [0000-0002-4360-8003], van Setten, Jessica [0000-0002-4934-7510], Smith, Blair H [0000-0002-5362-9430], Stančáková, Alena [0000-0002-1375-0252], Stanton, Alice [0000-0002-4961-165X], Straker, Leon [0000-0002-7786-4128], Sulem, Patrick [0000-0001-7123-6123], Swertz, Morris A [0000-0002-0979-3401], Taylor, Kent D [0000-0002-2756-4370], Tzoulaki, Ioanna [0000-0002-4275-9328], Veldink, Jan H [0000-0001-5572-9657], Vitart, Veronique [0000-0002-4991-3797], Völker, Uwe [0000-0002-5689-3448], Wander, Gurpreet S [0000-0002-4596-4247], Wang, Ya Xing [0000-0003-2749-7793], Wild, Sarah [0000-0001-7824-2569], Yuan, Jian-Min [0000-0002-4620-3108], Asselbergs, Folkert W [0000-0002-1692-8669], Boehnke, Mike [0000-0002-6442-7754], Bouchard, Claude [0000-0002-0048-491X], Brody, Jennifer A [0000-0001-8509-148X], Campbell, Archie [0000-0003-0198-5078], Caulfield, Mark J [0000-0001-9295-3594], Smith, George Davey [0000-0002-1407-8314], Dorajoo, Rajkumar [0000-0001-6608-2051], Ellinghaus, David [0000-0002-4332-6110], Erdmann, Jeanette [0000-0002-4486-6231], Evangelou, Evangelos [0000-0002-5488-2999], Feenstra, Bjarke [0000-0003-1478-649X], Feitosa, Mary [0000-0002-0933-2410], Franke, Andre [0000-0003-1530-5811], Grant, Struan F A [0000-0003-2025-5302], Griffiths, Lyn R [0000-0002-6774-5475], Groop, Leif [0000-0002-0187-3263], Gudnason, Vilmundur [0000-0001-5696-0084], van der Harst, Pim [0000-0002-2713-686X], Heng, Chew-Kiat [0000-0002-7309-9473], Hicks, Andrew A [0000-0001-6320-0411], Jaddoe, Vincent W V [0000-0003-2939-0041], De Jager, Philip L [0000-0002-8057-2505], Johannesson, Magnus [0000-0001-8759-6393], Johansson, Åsa [0000-0002-2915-4498], Jonas, Jost B [0000-0003-2972-5227], Jukema, J Wouter [0000-0002-3246-8359], Kaprio, Jaakko [0000-0002-3716-2455], Laakso, Markku [0000-0002-3394-7749], van der Laan, Sander W [0000-0001-6888-1404], Lahti, Jari [0000-0002-4310-5297], Martin, Nicholas G [0000-0003-4069-8020], Medland, Sarah E [0000-0003-1382-380X], Merriman, Tony R [0000-0003-0844-8726], Metspalu, Andres [0000-0002-3718-796X], Mohlke, Karen L [0000-0001-6721-153X], Montgomery, Grant W [0000-0002-4140-8139], Munroe, Patricia B [0000-0002-4176-2947], Nyholt, Dale R [0000-0001-7159-3040], Ober, Carole [0000-0003-4626-9809], Oldehinkel, Albertine J [0000-0003-3925-3913], Palmer, Colin [0000-0002-6415-6560], Perusse, Louis [0000-0001-6440-9698], Polderman, Tinca J. C. [0000-0001-5564-301X], Porteous, David J [0000-0003-1249-6106], Rioux, John D [0000-0001-7560-8326], Rivadeneira, Fernando [0000-0001-9435-9441], Rotimi, Charles [0000-0001-5759-053X], Rotter, Jerome I [0000-0001-7191-1723], Rudan, Igor [0000-0001-6993-6884], Sattar, Naveed [0000-0002-1604-2593], Sim, Xueling [0000-0002-1233-7642], Smith, Jennifer A [0000-0002-3575-5468], Teumer, Alexander [0000-0002-8309-094X], Timpson, Nicholas J [0000-0002-7141-9189], Tuomi, Tiinamaija [0000-0002-8306-6202], Wang, Carol A [0000-0002-4301-3974], Weir, David R [0000-0002-1661-2402], Whitfield, John B [0000-0002-1103-0876], Magnusson, Patrik K. E. [0000-0002-7315-7899], Uitterlinden, André G [0000-0002-7276-3387], Loos, Ruth J. F. [0000-0002-8532-5087], Franke, Lude [0000-0002-5159-8802], Haley, Chris S [0000-0002-9811-0210], Hayward, Caroline [0000-0002-9405-9550], Walters, Robin G [0000-0002-9179-0321], Joshi, Peter K [0000-0002-6361-5059], Wilson, James F [0000-0001-5751-9178], Apollo - University of Cambridge Repository, Moore, Kristjan HS [0000-0002-9579-4362], Luan, Jian'an [0000-0003-3137-6337], Grant, Struan FA [0000-0003-2025-5302], Jaddoe, Vincent WV [0000-0003-2939-0041], Polderman, Tinca JC [0000-0001-5564-301X], Magnusson, Patrik KE [0000-0002-7315-7899], Loos, Ruth JF [0000-0002-8532-5087], Neurology, Human genetics, Amsterdam Reproduction & Development (AR&D), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Stem Cell Aging Leukemia and Lymphoma (SALL), Institute for Molecular Medicine Finland, Department of Psychology and Logopedics, University Management, Developmental Psychology Research Group, Staff Services, Cognitive and Brain Aging, Research Programs Unit, Diabetes and Obesity Research Program, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Clinicum, University of Helsinki, Centre of Excellence in Complex Disease Genetics, Department of Public Health, Genetic Epidemiology, Helsinki Collegium for Advanced Studies, HUS Abdominal Center, Endokrinologian yksikkö, Bradford Teaching Hospitals NHS Foundation Trust [Bradford, UK] (BTHFT), University of Trieste, Université de Lausanne (UNIL), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Consiglio Nazionale delle Ricerche (CNR), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur [Paris], Institut Pasteur [Paris], University of Oxford [Oxford], Medical Genetics, Dept. RSD and Public Health, IRCCS-Burlo Garofolo/University of Trieste, sans affiliation, Helmholtz-Zentrum München (HZM), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institute of Cardiovascular Science, University College London, Hammersmith Hospital NHS Imperial College Healthcare-Imperial College London, Universität zu Lübeck [Lübeck], University of Ioannina Medical School, Università degli studi di Napoli Federico II-RISSC-Lab, Universität Heidelberg [Heidelberg], University of Turin, University of California-University of California, Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Université de Nantes (UN)-Université de Rennes 1 (UR1), Erasmus MC other, Internal Medicine, and Applied Economics
Subjects: 0301 basic medicine, 631/208/1397, Chemistry(all), Health Status, [SDV]Life Sciences [q-bio], LOCI, General Physics and Astronomy, MESH: Haplotype, MESH: Cognition, 030105 genetics & heredity, Runs of Homozygosity, Biochemistry, Consanguinity, Cognition, Inbreeding depression, 2.1 Biological and endogenous factors, Body Size, Inbreeding, Skyldleikarækt, Aetiology, Human phenotypes, lcsh:Science, MESH: Health Status, Genetics, Multidisciplinary, Inbreeding Depression, Confounding, Homozygote, RUNS, 631/208/205, 631/208/721, 3. Good health, genomic inbreeding coefficients, MESH: Risk-Taking, 631/208/730, Autozygosit, homozygosity, Erfðarannsóknir, Medical Genetics, genomic inbreeding coefficient, MESH: Homozygote, Offspring, Science, Autozygosity, Blóðsifjar, 610 Medicine & health, Biology, INBREEDING DEPRESSION, HOMOZYGOSITY, FERTILITY, QUANTIFICATION, Physics and Astronomy(all), General Biochemistry, Genetics and Molecular Biology, Article, Association, 03 medical and health sciences, Risk-Taking, 360 Social problems & social services, Journal Article, Humans, ddc:610, Allele, Alleles, Medicinsk genetik, Genetic association study, MESH: Consanguinity, MESH: Body Size, MESH: Humans, Biochemistry, Genetics and Molecular Biology(all), MESH: Alleles, Haplotype, MESH: Fertility, General Chemistry, Brain Disorders, MESH: Inbreeding Depression, 030104 developmental biology, Fertility, Haplotypes, Genetic markers, lcsh:Q, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 3111 Biomedicine, Genetics and Molecular Biology(all)
Abstract: Publisher's version (útgefin grein)., In many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (FROH) for >1.4 million individuals, we show that FROH is significantly associated (p < 0.0005) with apparently deleterious changes in 32 out of 100 traits analysed. These changes are associated with runs of homozygosity (ROH), but not with common variant homozygosity, suggesting that genetic variants associated with inbreeding depression are predominantly rare. The effect on fertility is striking: FROH equivalent to the offspring of first cousins is associated with a 55% decrease [95% CI 44–66%] in the odds of having children. Finally, the effects of FROH are confirmed within full-sibling pairs, where the variation in FROH is independent of all environmental confounding., This paper is the work of the ROHgen consortium. We thank the Sigma T2D Consortium, whose members are detailed in Supplementary Note 3. We thank the UK Biobank Resource, approved under application 19655; we acknowledge funding from the UK Medical Research Council Human Genetics Unit and MRC Doctoral Training Programme in Precision Medicine. We also thank Neil Robertson, Wellcome Trust Centre for Human Genetics, Oxford, for use of his author details management software, Authorial. Finally, we thank all the participants, researchers and funders of ROHgen cohorts. Cohort-specific acknowledgements are in Supplementary Data 2; personal acknowledgements and disclosures are in Supplementary Note 2. We thank Rachel Edwards for administrative assistance.
Published: 2019
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Journal

Database

Publisher

214 results on '"Kari E North"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources