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Your search keyword '"Wei, Wei Qi"' showing total 15 results
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15 results on '"Wei, Wei Qi"'

1. A unified framework identifies new links between plasma lipids and diseases from electronic medical records across large-scale cohorts

Author

Veturi, Yogasudha, Lucas, Anastasia, Bradford, Yuki, Hui, Daniel, Dudek, Scott, Theusch, Elizabeth, Verma, Anurag, Miller, Jason E, Kullo, Iftikhar, Hakonarson, Hakon, Sleiman, Patrick, Schaid, Daniel, Stein, Charles M, Edwards, Digna R Velez, Feng, QiPing, Wei, Wei-Qi, Medina, Marisa W, Krauss, Ronald M, Hoffmann, Thomas J, Risch, Neil, Voight, Benjamin F, Rader, Daniel J, and Ritchie, Marylyn D

Subjects
Biological Sciences, Genetics, Prevention, Cardiovascular, Inflammatory and immune system, Generic health relevance, Good Health and Well Being, Alleles, Biological Specimen Banks, Biomarkers, Disease Susceptibility, Electronic Health Records, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Lipids, Polymorphism, Single Nucleotide, Public Health Surveillance, Quantitative Trait, Heritable, United Kingdom, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Plasma lipids are known heritable risk factors for cardiovascular disease, but increasing evidence also supports shared genetics with diseases of other organ systems. We devised a comprehensive three-phase framework to identify new lipid-associated genes and study the relationships among lipids, genotypes, gene expression and hundreds of complex human diseases from the Electronic Medical Records and Genomics (347 traits) and the UK Biobank (549 traits). Aside from 67 new lipid-associated genes with strong replication, we found evidence for pleiotropic SNPs/genes between lipids and diseases across the phenome. These include discordant pleiotropy in the HLA region between lipids and multiple sclerosis and putative causal paths between triglycerides and gout, among several others. Our findings give insights into the genetic basis of the relationship between plasma lipids and diseases on a phenome-wide scale and can provide context for future prevention and treatment strategies.

Published
2021

2. Association of Genetic Variation With Cirrhosis: A Multi-Trait Genome-Wide Association and Gene–Environment Interaction Study

Author

Emdin, Connor A, Haas, Mary, Ajmera, Veeral, Simon, Tracey G, Homburger, Julian, Neben, Cynthia, Jiang, Lan, Wei, Wei-Qi, Feng, Qiping, Zhou, Alicia, Denny, Joshua, Corey, Kathleen, Loomba, Rohit, Kathiresan, Sekar, and Khera, Amit V

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Nutrition and Dietetics, Prevention, Obesity, Substance Misuse, Digestive Diseases, Human Genome, Genetics, Aetiology, 2.1 Biological and endogenous factors, Oral and gastrointestinal, Cancer, Stroke, Cardiovascular, Good Health and Well Being, Adult, Age Factors, Aged, Alcohol Drinking, Case-Control Studies, Comorbidity, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Liver Cirrhosis, Male, Middle Aged, Multifactorial Inheritance, Phenotype, Risk Assessment, Risk Factors, Cirrhosis, Chronic Liver Disease, Neurosciences, Paediatrics and Reproductive Medicine, Gastroenterology & Hepatology, Clinical sciences, Nutrition and dietetics
Abstract

Background & aimsIn contrast to most other common diseases, few genetic variants have been identified that impact risk of cirrhosis. We aimed to identify new genetic variants that predispose to cirrhosis, to test whether such variants, aggregated into a polygenic score, enable genomic risk stratification, and to test whether alcohol intake or body mass index interacts with polygenic predisposition.MethodsWe conducted a multi-trait genome-wide association study combining cirrhosis and alanine aminotransferase levels performed in 5 discovery studies (UK Biobank, Vanderbilt BioVU, Atherosclerosis Risk in Communities study, and 2 case-control studies including 4829 individuals with cirrhosis and 72,705 controls and 362,539 individuals with alanine aminotransferase levels). Identified variants were replicated in 3 studies (Partners HealthCare Biobank, FinnGen, and Biobank Japan including 3554 individuals with cirrhosis and 343,826 controls). A polygenic score was tested in Partners HealthCare Biobank.ResultsFive previously reported and 7 newly identified genetic variants were associated with cirrhosis in both the discovery studies multi-trait genome-wide association study (P < 5 × 10-8) and the replication studies (P < .05), including a missense variant in the APOE gene and a noncoding variant near EFN1A. These 12 variants were used to generate a polygenic score. Among Partners HealthCare Biobank individuals, high polygenic score-defined as the top quintile of the distribution-was associated with significantly increased risk of cirrhosis (odds ratio, 2.26; P < .001) and related comorbidities compared with the lowest quintile. Risk was even more pronounced among those with extreme polygenic risk (top 1% of the distribution, odds ratio, 3.16; P < .001). The impact of extreme polygenic risk was substantially more pronounced in those with elevated alcohol consumption or body mass index. Modeled as risk by age 75 years, probability of cirrhosis with extreme polygenic risk was 13.7%, 20.1%, and 48.2% among individuals with no or modest, moderate, and increased alcohol consumption, respectively (Pinteraction < .001). Similarly, probability among those with extreme polygenic risk was 6.5%, 10.3%, and 19.5% among individuals with normal weight, overweight, and obesity, respectively (Pinteraction < .001).ConclusionsTwelve independent genetic variants, 7 of which are newly identified in this study, conferred risk for cirrhosis. Aggregated into a polygenic score, these variants identified a subset of the population at substantially increased risk who are most susceptible to the hepatotoxic effects of excess alcohol consumption or obesity.

Published
2021

3. Genome‐Wide Association and Functional Studies Reveal Novel Pharmacological Mechanisms for Allopurinol

Author

Brackman, Deanna J, Yee, Sook Wah, Enogieru, Osatohanmwen J, Shaffer, Christian, Ranatunga, Dilrini, Denny, Joshua C, Wei, Wei‐Qi, Kamatani, Yoichiro, Kubo, Michiaki, Roden, Dan M, Jorgenson, Eric, and Giacomini, Kathleen M

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Clinical Research, Human Genome, Genetics, 2.1 Biological and endogenous factors, Aetiology, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, Cardiovascular, ATP Binding Cassette Transporter, Subfamily G, Member 2, Aged, Aged, 80 and over, Allopurinol, Cytokines, Ethnicity, Female, Genome-Wide Association Study, Glucose Transport Proteins, Facilitative, Humans, Male, Middle Aged, Neoplasm Proteins, Oxypurinol, Prognosis, Uric Acid, Pharmacology & Pharmacy, Pharmacology and pharmaceutical sciences
Abstract

Allopurinol, which lowers uric acid (UA) concentration, is increasingly being recognized for its benefits in cardiovascular and renal disease. However, response to allopurinol is variable. We gathered samples from 4,446 multiethnic subjects for a genome-wide association study of allopurinol response. Consistent with previous studies, we observed that the Q141K variant in ABCG2 (rs2231142), which encodes the efflux pump breast cancer resistance protein (BCRP), associated with worse response to allopurinol. However, for the first time this association reached genome-wide level significance (P = 8.06 × 10-11 ). Additionally, we identified a novel association with a variant in GREM2 (rs1934341, P = 3.22 × 10-6 ). In vitro studies identified oxypurinol, the active metabolite of allopurinol, as an inhibitor of the UA transporter GLUT9, suggesting that oxypurinol may modulate UA reabsorption. These results provide strong evidence for a role of BCRP Q141K in allopurinol response, and suggest that allopurinol may have additional hypouricemic effects beyond xanthine oxidase inhibition.

Published
2019

4. LPA Variants are Associated with Residual Cardiovascular Risk in Patients Receiving Statins

Author

Wei, Wei-Qi, Li, Xiaohui, Feng, Qiping, Kubo, Michiaki, Kullo, Iftikhar J, Peissig, Peggy L, Karlson, Elizabeth W, Jarvik, Gail P, Lee, Ming Ta Michael, Shang, Ning, Larson, Eric A, Edwards, Todd, Shaffer, Christian M, Mosley, Jonathan D, Maeda, Shiro, Horikoshi, Momoko, Ritchie, Marylyn, Williams, Marc S, Larson, Eric B, Crosslin, David R, Bland, Harris T, Pacheco, Jennifer A, Rasmussen-Torvik, Laura J, Cronkite, David, Hripcsak, George, Cox, Nancy J, Wilke, Russell A, Stein, C Michael, Rotter, Jerome I, Momozawa, Yukihide, Roden, Dan M, Krauss, Ronald M, and Denny, Joshua C

Subjects
Human Genome, Genetics, Clinical Research, Heart Disease, Atherosclerosis, Cardiovascular, Heart Disease - Coronary Heart Disease, Aetiology, 2.1 Biological and endogenous factors, Case-Control Studies, Coronary Disease, Databases, Genetic, Dyslipidemias, Electronic Health Records, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Lipoprotein(a), Phenotype, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Time Factors, Treatment Outcome, cholesterol, coronary disease, electronic health records, hydroxymethylglutaryl-CoA, LDL reductase inhibitors, lysophosphatidic acid, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Public Health and Health Services, Cardiovascular System & Hematology
Abstract

BackgroundCoronary heart disease (CHD) is a leading cause of death globally. Although therapy with statins decreases circulating levels of low-density lipoprotein cholesterol and the incidence of CHD, additional events occur despite statin therapy in some individuals. The genetic determinants of this residual cardiovascular risk remain unknown.MethodsWe performed a 2-stage genome-wide association study of CHD events during statin therapy. We first identified 3099 cases who experienced CHD events (defined as acute myocardial infarction or the need for coronary revascularization) during statin therapy and 7681 controls without CHD events during comparable intensity and duration of statin therapy from 4 sites in the Electronic Medical Records and Genomics Network. We then sought replication of candidate variants in another 160 cases and 1112 controls from a fifth Electronic Medical Records and Genomics site, which joined the network after the initial genome-wide association study. Finally, we performed a phenome-wide association study for other traits linked to the most significant locus.ResultsThe meta-analysis identified 7 single nucleotide polymorphisms at a genome-wide level of significance within the LPA/PLG locus associated with CHD events on statin treatment. The most significant association was for an intronic single nucleotide polymorphism within LPA/PLG (rs10455872; minor allele frequency, 0.069; odds ratio, 1.58; 95% confidence interval, 1.35-1.86; P=2.6×10-10). In the replication cohort, rs10455872 was also associated with CHD events (odds ratio, 1.71; 95% confidence interval, 1.14-2.57; P=0.009). The association of this single nucleotide polymorphism with CHD events was independent of statin-induced change in low-density lipoprotein cholesterol (odds ratio, 1.62; 95% confidence interval, 1.17-2.24; P=0.004) and persisted in individuals with low-density lipoprotein cholesterol ≤70 mg/dL (odds ratio, 2.43; 95% confidence interval, 1.18-4.75; P=0.015). A phenome-wide association study supported the effect of this region on coronary heart disease and did not identify noncardiovascular phenotypes.ConclusionsGenetic variations at the LPA locus are associated with CHD events during statin therapy independently of the extent of low-density lipoprotein cholesterol lowering. This finding provides support for exploring strategies targeting circulating concentrations of lipoprotein(a) to reduce CHD events in patients receiving statins.

Published
2018

5. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Author

Kanoni, Stavroula, Graham, Sarah E., Wang, Yuxuan, Surakka, Ida, Ramdas, Shweta, Zhu, Xiang, Clarke, Shoa L., Bhatti, Konain Fatima, Vedantam, Sailaja, Winkler, Thomas W., Locke, Adam E., Marouli, Eirini, Zajac, Greg J. M., Wu, Kuan-Han H., Ntalla, Ioanna, Hui, Qin, Klarin, Derek, Hilliard, Austin T., Wang, Zeyuan, Xue, Chao, Thorleifsson, Gudmar, Helgadottir, Anna, Gudbjartsson, Daniel F., Holm, Hilma, Olafsson, Isleifur, Hwang, Mi Yeong, Han, Sohee, Akiyama, Masato, Sakaue, Saori, Terao, Chikashi, Kanai, Masahiro, Zhou, Wei, Brumpton, Ben M., Rasheed, Humaira, Havulinna, Aki S., Veturi, Yogasudha, Pacheco, Jennifer Allen, Rosenthal, Elisabeth A., Lingren, Todd, Feng, QiPing, Kullo, Iftikhar J., Narita, Akira, Takayama, Jun, Martin, Hilary C., Hunt, Karen A., Trivedi, Bhavi, Haessler, Jeffrey, Giulianini, Franco, Bradford, Yuki, Miller, Jason E., Campbell, Archie, Lin, Kuang, Millwood, Iona Y., Rasheed, Asif, Hindy, George, Faul, Jessica D., Zhao, Wei, Weir, David R., Turman, Constance, Huang, Hongyan, Graff, Mariaelisa, Choudhury, Ananyo, Sengupta, Dhriti, Mahajan, Anubha, Brown, Michael R., Zhang, Weihua, Yu, Ketian, Schmidt, Ellen M., Pandit, Anita, Gustafsson, Stefan, Yin, Xianyong, Luan, Jian’an, Zhao, Jing-Hua, Matsuda, Fumihiko, Jang, Hye-Mi, Yoon, Kyungheon, Medina-Gomez, Carolina, Pitsillides, Achilleas, Hottenga, Jouke Jan, Wood, Andrew R., Ji, Yingji, Gao, Zishan, Haworth, Simon, Yousri, Noha A., Mitchell, Ruth E., Chai, Jin Fang, Aadahl, Mette, Bjerregaard, Anne A., Yao, Jie, Manichaikul, Ani, Hwu, Chii-Min, Hung, Yi-Jen, Warren, Helen R., Ramirez, Julia, Bork-Jensen, Jette, Kårhus, Line L., Goel, Anuj, Sabater-Lleal, Maria, Noordam, Raymond, Mauro, Pala, Matteo, Floris, McDaid, Aaron F., Marques-Vidal, Pedro, Wielscher, Matthias, Trompet, Stella, Sattar, Naveed, Møllehave, Line T., Munz, Matthias, Zeng, Lingyao, Huang, Jianfeng, Yang, Bin, Poveda, Alaitz, Kurbasic, Azra, Lamina, Claudia, Forer, Lukas, Scholz, Markus, Galesloot, Tessel E., Bradfield, Jonathan P., Ruotsalainen, Sanni E., Daw, EWarwick, Zmuda, Joseph M., Mitchell, Jonathan S., Fuchsberger, Christian, Christensen, Henry, Brody, Jennifer A., Vazquez-Moreno, Miguel, Feitosa, Mary F., Wojczynski, Mary K., Wang, Zhe, Preuss, Michael H., Mangino, Massimo, Christofidou, Paraskevi, Verweij, Niek, Benjamins, Jan W., Engmann, Jorgen, Tsao, Noah L., Verma, Anurag, Slieker, Roderick C., Lo, Ken Sin, Zilhao, Nuno R., Le, Phuong, Kleber, Marcus E., Delgado, Graciela E., Huo, Shaofeng, Ikeda, Daisuke D., Iha, Hiroyuki, Yang, Jian, Liu, Jun, Demirkan, Ayşe, Leonard, Hampton L., Marten, Jonathan, Frank, Mirjam, Schmidt, Börge, Smyth, Laura J., Cañadas-Garre, Marisa, Wang, Chaolong, Nakatochi, Masahiro, Wong, Andrew, Hutri-Kähönen, Nina, Sim, Xueling, Xia, Rui, Huerta-Chagoya, Alicia, Fernandez-Lopez, Juan Carlos, Lyssenko, Valeriya, Nongmaithem, Suraj S., Bayyana, Swati, Stringham, Heather M., Irvin, Marguerite R., Oldmeadow, Christopher, Kim, Han-Na, Ryu, Seungho, Timmers, Paul R. H. J., Arbeeva, Liubov, Dorajoo, Rajkumar, Lange, Leslie A., Prasad, Gauri, Lorés-Motta, Laura, Pauper, Marc, Long, Jirong, Li, Xiaohui, Theusch, Elizabeth, Takeuchi, Fumihiko, Spracklen, Cassandra N., Loukola, Anu, Bollepalli, Sailalitha, Warner, Sophie C., Wang, Ya Xing, Wei, Wen B., Nutile, Teresa, Ruggiero, Daniela, Sung, Yun Ju, Chen, Shufeng, Liu, Fangchao, Yang, Jingyun, Kentistou, Katherine A., Banas, Bernhard, Nardone, Giuseppe Giovanni, Meidtner, Karina, Bielak, Lawrence F., Smith, Jennifer A., Hebbar, Prashantha, Farmaki, Aliki-Eleni, Hofer, Edith, Lin, Maoxuan, Concas, Maria Pina, Vaccargiu, Simona, van der Most, Peter J., Pitkänen, Niina, Cade, Brian E., van der Laan, Sander W., Chitrala, Kumaraswamy Naidu, Weiss, Stefan, Bentley, Amy R., Doumatey, Ayo P., Adeyemo, Adebowale A., Lee, Jong Young, Petersen, Eva R. B., Nielsen, Aneta A., Choi, Hyeok Sun, Nethander, Maria, Freitag-Wolf, Sandra, Southam, Lorraine, Rayner, Nigel W., Wang, Carol A., Lin, Shih-Yi, Wang, Jun-Sing, Couture, Christian, Lyytikäinen, Leo-Pekka, Nikus, Kjell, Cuellar-Partida, Gabriel, Vestergaard, Henrik, Hidalgo, Bertha, Giannakopoulou, Olga, Cai, Qiuyin, Obura, Morgan O., van Setten, Jessica, Li, Xiaoyin, Liang, Jingjing, Tang, Hua, Terzikhan, Natalie, Shin, Jae Hun, Jackson, Rebecca D., Reiner, Alexander P., Martin, Lisa Warsinger, Chen, Zhengming, Li, Liming, Kawaguchi, Takahisa, Thiery, Joachim, Bis, Joshua C., Launer, Lenore J., Li, Huaixing, Nalls, Mike A., Raitakari, Olli T., Ichihara, Sahoko, Wild, Sarah H., Nelson, Christopher P., Campbell, Harry, Jäger, Susanne, Nabika, Toru, Al-Mulla, Fahd, Niinikoski, Harri, Braund, Peter S., Kolcic, Ivana, Kovacs, Peter, Giardoglou, Tota, Katsuya, Tomohiro, de Kleijn, Dominique, de Borst, Gert J., Kim, Eung Kweon, Adams, Hieab H. H., Ikram, M. Arfan, Zhu, Xiaofeng, Asselbergs, Folkert W., Kraaijeveld, Adriaan O., Beulens, Joline W. J., Shu, Xiao-Ou, Rallidis, Loukianos S., Pedersen, Oluf, Hansen, Torben, Mitchell, Paul, Hewitt, Alex W., Kähönen, Mika, Pérusse, Louis, Bouchard, Claude, Tönjes, Anke, Chen, Yii-Der Ida, Pennell, Craig E., Mori, Trevor A., Lieb, Wolfgang, Franke, Andre, Ohlsson, Claes, Mellström, Dan, Cho, Yoon Shin, Lee, Hyejin, Yuan, Jian-Min, Koh, Woon-Puay, Rhee, Sang Youl, Woo, Jeong-Taek, Heid, Iris M., Stark, Klaus J., Zimmermann, Martina E., Völzke, Henry, Homuth, Georg, Evans, Michele K., Zonderman, Alan B., Polasek, Ozren, Pasterkamp, Gerard, Hoefer, Imo E., Redline, Susan, Pahkala, Katja, Oldehinkel, Albertine J., Snieder, Harold, Biino, Ginevra, Schmidt, Reinhold, Schmidt, Helena, Bandinelli, Stefania, Dedoussis, George, Thanaraj, Thangavel Alphonse, Kardia, Sharon L. R., Peyser, Patricia A., Kato, Norihiro, Schulze, Matthias B., Girotto, Giorgia, Böger, Carsten A., Jung, Bettina, Joshi, Peter K., Bennett, David A., De Jager, Philip L., Lu, Xiangfeng, Mamakou, Vasiliki, Brown, Morris, Caulfield, Mark J., Munroe, Patricia B., Guo, Xiuqing, Ciullo, Marina, Jonas, Jost B., Samani, Nilesh J., Kaprio, Jaakko, Pajukanta, Päivi, Tusié-Luna, Teresa, Aguilar-Salinas, Carlos A., Adair, Linda S., Bechayda, Sonny Augustin, de Silva, H. Janaka, Wickremasinghe, Ananda R., Krauss, Ronald M., Wu, Jer-Yuarn, Zheng, Wei, Hollander, Anneke Iden, Bharadwaj, Dwaipayan, Correa, Adolfo, Wilson, James G., Lind, Lars, Heng, Chew-Kiat, Nelson, Amanda E., Golightly, Yvonne M., Wilson, James F., Penninx, Brenda, Kim, Hyung-Lae, Attia, John, Scott, Rodney J., Rao, D. C., Arnett, Donna K., Hunt, Steven C., Walker, Mark, Koistinen, Heikki A., Chandak, Giriraj R., Mercader, Josep M., Costanzo, Maria C., Jang, Dongkeun, Burtt, Noël P., Villalpando, Clicerio Gonzalez, Orozco, Lorena, Fornage, Myriam, Tai, EShyong, van Dam, Rob M., Lehtimäki, Terho, Chaturvedi, Nish, Yokota, Mitsuhiro, Liu, Jianjun, Reilly, Dermot F., McKnight, Amy Jayne, Kee, Frank, Jöckel, Karl-Heinz, McCarthy, Mark I., Palmer, Colin N. A., Vitart, Veronique, Hayward, Caroline, Simonsick, Eleanor, van Duijn, Cornelia M., Jin, Zi-Bing, Qu, Jia, Hishigaki, Haretsugu, Lin, Xu, März, Winfried, Gudnason, Vilmundur, Tardif, Jean-Claude, Lettre, Guillaume, Hart, Leen M.‘t, Elders, Petra J. M., Damrauer, Scott M., Kumari, Meena, Kivimaki, Mika, van der Harst, Pim, Spector, Tim D., Loos, Ruth J. F., Province, Michael A., Parra, Esteban J., Cruz, Miguel, Psaty, Bruce M., Brandslund, Ivan, Pramstaller, Peter P., Rotimi, Charles N., Christensen, Kaare, Ripatti, Samuli, Widén, Elisabeth, Hakonarson, Hakon, Grant, Struan F. A., Kiemeney, Lambertus A. L. M., de Graaf, Jacqueline, Loeffler, Markus, Kronenberg, Florian, Gu, Dongfeng, Erdmann, Jeanette, Schunkert, Heribert, Franks, Paul W., Linneberg, Allan, Jukema, J. Wouter, Khera, Amit V., Männikkö, Minna, Jarvelin, Marjo-Riitta, Kutalik, Zoltan, Francesco, Cucca, Mook-Kanamori, Dennis O., van Dijk, Ko Willems, Watkins, Hugh, Strachan, David P., Grarup, Niels, Sever, Peter, Poulter, Neil, Chuang, Lee-Ming, Rotter, Jerome I., Dantoft, Thomas M., Karpe, Fredrik, Neville, Matt J., Timpson, Nicholas J., Cheng, Ching-Yu, Wong, Tien-Yin, Khor, Chiea Chuen, Li, Hengtong, Sabanayagam, Charumathi, Peters, Annette, Gieger, Christian, Hattersley, Andrew T., Pedersen, Nancy L., Magnusson, Patrik K. E., Boomsma, Dorret I., Willemsen, Allegonda H. M., Cupples, LAdrienne, van Meurs, Joyce B. J., Ghanbari, Mohsen, Gordon-Larsen, Penny, Huang, Wei, Kim, Young Jin, Tabara, Yasuharu, Wareham, Nicholas J., Langenberg, Claudia, Zeggini, Eleftheria, Kuusisto, Johanna, Laakso, Markku, Ingelsson, Erik, Abecasis, Goncalo, Chambers, John C., Kooner, Jaspal S., de Vries, Paul S., Morrison, Alanna C., Hazelhurst, Scott, Ramsay, Michèle, North, Kari E., Daviglus, Martha, Kraft, Peter, Martin, Nicholas G., Whitfield, John B., Abbas, Shahid, Saleheen, Danish, Walters, Robin G., Holmes, Michael V., Black, Corri, Smith, Blair H., Baras, Aris, Justice, Anne E., Buring, Julie E., Ridker, Paul M., Chasman, Daniel I., Kooperberg, Charles, Tamiya, Gen, Yamamoto, Masayuki, van Heel, David A., Trembath, Richard C., Wei, Wei-Qi, Jarvik, Gail P., Namjou, Bahram, Hayes, M. Geoffrey, Ritchie, Marylyn D., Jousilahti, Pekka, Salomaa, Veikko, Hveem, Kristian, Åsvold, Bjørn Olav, Kubo, Michiaki, Kamatani, Yoichiro, Okada, Yukinori, Murakami, Yoshinori, Kim, Bong-Jo, Thorsteinsdottir, Unnur, Stefansson, Kari, Zhang, Jifeng, Chen, YEugene, Ho, Yuk-Lam, Lynch, Julie A., Rader, Daniel J., Tsao, Philip S., Chang, Kyong-Mi, Cho, Kelly, O’Donnell, Christopher J., Gaziano, John M., Wilson, Peter W. F., Frayling, Timothy M., Hirschhorn, Joel N., Kathiresan, Sekar, Mohlke, Karen L., Sun, Yan V., Morris, Andrew P., Boehnke, Michael, Brown, Christopher D., Natarajan, Pradeep, Deloukas, Panos, Willer, Cristen J., Assimes, Themistocles L., and Peloso, Gina M.

Published
2022
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6. Meta-analysis of genome-wide association studies of HDL cholesterol response to statins

Author

Postmus, Iris, Warren, Helen R, Trompet, Stella, Arsenault, Benoit J, Avery, Christy L, Bis, Joshua C, Chasman, Daniel I, de Keyser, Catherine E, Deshmukh, Harshal A, Evans, Daniel S, Feng, QiPing, Li, Xiaohui, Smit, Roelof AJ, Smith, Albert V, Sun, Fangui, Taylor, Kent D, Arnold, Alice M, Barnes, Michael R, Barratt, Bryan J, Betteridge, John, Boekholdt, S Matthijs, Boerwinkle, Eric, Buckley, Brendan M, Chen, Y-D Ida, de Craen, Anton JM, Cummings, Steven R, Denny, Joshua C, Dubé, Marie Pierre, Durrington, Paul N, Eiriksdottir, Gudny, Ford, Ian, Guo, Xiuqing, Harris, Tamara B, Heckbert, Susan R, Hofman, Albert, Hovingh, G Kees, Kastelein, John JP, Launer, Leonore J, Liu, Ching-Ti, Liu, Yongmei, Lumley, Thomas, McKeigue, Paul M, Munroe, Patricia B, Neil, Andrew, Nickerson, Deborah A, Nyberg, Fredrik, O'Brien, Eoin, O'Donnell, Christopher J, Post, Wendy, Poulter, Neil, Vasan, Ramachandran S, Rice, Kenneth, Rich, Stephen S, Rivadeneira, Fernando, Sattar, Naveed, Sever, Peter, Shaw-Hawkins, Sue, Shields, Denis C, Slagboom, P Eline, Smith, Nicholas L, Smith, Joshua D, Sotoodehnia, Nona, Stanton, Alice, Stott, David J, Stricker, Bruno H, Stürmer, Til, Uitterlinden, André G, Wei, Wei-Qi, Westendorp, Rudi GJ, Whitsel, Eric A, Wiggins, Kerri L, Wilke, Russell A, Ballantyne, Christie M, Colhoun, Helen M, Cupples, L Adrienne, Franco, Oscar H, Gudnason, Vilmundur, Hitman, Graham, Palmer, Colin NA, Psaty, Bruce M, Ridker, Paul M, Stafford, Jeanette M, Stein, Charles M, Tardif, Jean-Claude, Caulfield, Mark J, Jukema, J Wouter, Rotter, Jerome I, and Krauss, Ronald M

Subjects
Pharmacology and Pharmaceutical Sciences, Biological Sciences, Biomedical and Clinical Sciences, Genetics, Atherosclerosis, Human Genome, Cardiovascular, Stroke, Good Health and Well Being, Cholesterol Ester Transfer Proteins, Cholesterol, HDL, Female, Genome-Wide Association Study, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Male, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Treatment Outcome, White People, Genome-wide association study, HDL-cholesterol, Statins, pharmacogenetics, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract

BackgroundIn addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation.Methods and resultsWe performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p

Published
2016

7. Association between triglycerides, known risk SNVs and conserved rare variation in SLC25A40 in a multi-ancestry cohort

Author

Rosenthal, Elisabeth A., Crosslin, David R., Gordon, Adam S., Carrell, David S., Stanaway, Ian B., Larson, Eric B., Grafton, Jane, Wei, Wei-Qi, Denny, Joshua C., Feng, Qi-Ping, Shah, Amy S., Sturm, Amy C., Ritchie, Marylyn D., Pacheco, Jennifer A., Hakonarson, Hakon, Rasmussen-Torvik, Laura J., Connolly, John J., Fan, Xiao, Safarova, Maya, Kullo, Iftikhar J., and Jarvik, Gail P.

Published
2021
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8. Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins

Author

Postmus, Iris, Trompet, Stella, Deshmukh, Harshal A, Barnes, Michael R, Li, Xiaohui, Warren, Helen R, Chasman, Daniel I, Zhou, Kaixin, Arsenault, Benoit J, Donnelly, Louise A, Wiggins, Kerri L, Avery, Christy L, Griffin, Paula, Feng, QiPing, Taylor, Kent D, Li, Guo, Evans, Daniel S, Smith, Albert V, de Keyser, Catherine E, Johnson, Andrew D, de Craen, Anton JM, Stott, David J, Buckley, Brendan M, Ford, Ian, Westendorp, Rudi GJ, Eline Slagboom, P, Sattar, Naveed, Munroe, Patricia B, Sever, Peter, Poulter, Neil, Stanton, Alice, Shields, Denis C, O’Brien, Eoin, Shaw-Hawkins, Sue, Ida Chen, Y-D, Nickerson, Deborah A, Smith, Joshua D, Pierre Dubé, Marie, Matthijs Boekholdt, S, Kees Hovingh, G, Kastelein, John JP, McKeigue, Paul M, Betteridge, John, Neil, Andrew, Durrington, Paul N, Doney, Alex, Carr, Fiona, Morris, Andrew, McCarthy, Mark I, Groop, Leif, Ahlqvist, Emma, Bis, Joshua C, Rice, Kenneth, Smith, Nicholas L, Lumley, Thomas, Whitsel, Eric A, Stürmer, Til, Boerwinkle, Eric, Ngwa, Julius S, O’Donnell, Christopher J, Vasan, Ramachandran S, Wei, Wei-Qi, Wilke, Russell A, Liu, Ching-Ti, Sun, Fangui, Guo, Xiuqing, Heckbert, Susan R, Post, Wendy, Sotoodehnia, Nona, Arnold, Alice M, Stafford, Jeanette M, Ding, Jingzhong, Herrington, David M, Kritchevsky, Stephen B, Eiriksdottir, Gudny, Launer, Leonore J, Harris, Tamara B, Chu, Audrey Y, Giulianini, Franco, MacFadyen, Jean G, Barratt, Bryan J, Nyberg, Fredrik, Stricker, Bruno H, Uitterlinden, André G, Hofman, Albert, Rivadeneira, Fernando, Emilsson, Valur, Franco, Oscar H, Ridker, Paul M, Gudnason, Vilmundur, Liu, Yongmei, Denny, Joshua C, Ballantyne, Christie M, Rotter, Jerome I, Adrienne Cupples, L, Psaty, Bruce M, Palmer, Colin NA, Tardif, Jean-Claude, Colhoun, Helen M, and Hitman, Graham

Subjects
Pharmacology and Pharmaceutical Sciences, Biological Sciences, Biomedical and Clinical Sciences, Genetics, Human Genome, 2.1 Biological and endogenous factors, Cardiovascular, Cholesterol, LDL, Genome-Wide Association Study, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Pharmacogenetics, Polymorphism, Single Nucleotide, Welcome Trust Case Control Consortium
Abstract

Statins effectively lower LDL cholesterol levels in large studies and the observed interindividual response variability may be partially explained by genetic variation. Here we perform a pharmacogenetic meta-analysis of genome-wide association studies (GWAS) in studies addressing the LDL cholesterol response to statins, including up to 18,596 statin-treated subjects. We validate the most promising signals in a further 22,318 statin recipients and identify two loci, SORT1/CELSR2/PSRC1 and SLCO1B1, not previously identified in GWAS. Moreover, we confirm the previously described associations with APOE and LPA. Our findings advance the understanding of the pharmacogenetic architecture of statin response.

Published
2014

9. A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

Author

Ramdas, Shweta, Judd, Jonathan, Graham, Sarah E, Kanoni, Stavroula, Wang, Yuxuan, Surakka, Ida, Wenz, Brandon, Clarke, Shoa L, Chesi, Alessandra, Wells, Andrew, Bhatti, Konain Fatima, Vedantam, Sailaja, Winkler, Thomas W, Locke, Adam E, Marouli, Eirini, Zajac, Greg J M, Wu, Kuan-Han H, Ntalla, Ioanna, Hui, Qin, Klarin, Derek, Hilliard, Austin T, Wang, Zeyuan, Xue, Chao, Thorleifsson, Gudmar, Helgadottir, Anna, Gudbjartsson, Daniel F, Holm, Hilma, Olafsson, Isleifur, Hwang, Mi Yeong, Han, Sohee, Akiyama, Masato, Sakaue, Saori, Terao, Chikashi, Kanai, Masahiro, Zhou, Wei, Brumpton, Ben M, Rasheed, Humaira, Havulinna, Aki S, Veturi, Yogasudha, Pacheco, Jennifer Allen, Rosenthal, Elisabeth A, Lingren, Todd, Feng, QiPing, Kullo, Iftikhar J, Narita, Akira, Takayama, Jun, Martin, Hilary C, Hunt, Karen A, Trivedi, Bhavi, Haessler, Jeffrey, Giulianini, Franco, Bradford, Yuki, Miller, Jason E, Campbell, Archie, Lin, Kuang, Millwood, Iona Y, Rasheed, Asif, Hindy, George, Faul, Jessica D, Zhao, Wei, Weir, David R, Turman, Constance, Huang, Hongyan, Graff, Mariaelisa, Choudhury, Ananyo, Sengupta, Dhriti, Mahajan, Anubha, Brown, Michael R, Zhang, Weihua, Yu, Ketian, Schmidt, Ellen M, Pandit, Anita, Gustafsson, Stefan, Yin, Xianyong, Luan, Jian'an, Zhao, Jing-Hua, Matsuda, Fumihiko, Jang, Hye-Mi, Yoon, Kyungheon, Medina-Gomez, Carolina, Pitsillides, Achilleas, Hottenga, Jouke Jan, Wood, Andrew R, Ji, Yingji, Gao, Zishan, Haworth, Simon, Mitchell, Ruth E, Chai, Jin Fang, Aadahl, Mette, Bjerregaard, Anne A, Yao, Jie, Manichaikul, Ani, Lee, Wen-Jane, Hsiung, Chao Agnes, Warren, Helen R, Ramirez, Julia, Bork-Jensen, Jette, Kårhus, Line L, Goel, Anuj, Sabater-Lleal, Maria, Noordam, Raymond, Mauro, Pala, Matteo, Floris, McDaid, Aaron F, Marques-Vidal, Pedro, Wielscher, Matthias, Trompet, Stella, Sattar, Naveed, Møllehave, Line T, Munz, Matthias, Zeng, Lingyao, Huang, Jianfeng, Yang, Bin, Poveda, Alaitz, Kurbasic, Azra, Schönherr, Sebastian, Forer, Lukas, Scholz, Markus, Galesloot, Tessel E, Bradfield, Jonathan P, Ruotsalainen, Sanni E, Daw, E Warwick, Zmuda, Joseph M, Mitchell, Jonathan S, Fuchsberger, Christian, Christensen, Henry, Brody, Jennifer A, Le, Phuong, Feitosa, Mary F, Wojczynski, Mary K, Hemerich, Daiane, Preuss, Michael, Mangino, Massimo, Christofidou, Paraskevi, Verweij, Niek, Benjamins, Jan W, Engmann, Jorgen, Noah, Tsao L, Verma, Anurag, Slieker, Roderick C, Lo, Ken Sin, Zilhao, Nuno R, Kleber, Marcus E, Delgado, Graciela E, Huo, Shaofeng, Ikeda, Daisuke D, Iha, Hiroyuki, Yang, Jian, Liu, Jun, Demirkan, Ayşe, Leonard, Hampton L, Marten, Jonathan, Emmel, Carina, Schmidt, Börge, Smyth, Laura J, Cañadas-Garre, Marisa, Wang, Chaolong, Nakatochi, Masahiro, Wong, Andrew, Hutri-Kähönen, Nina, Sim, Xueling, Xia, Rui, Huerta-Chagoya, Alicia, Fernandez-Lopez, Juan Carlos, Lyssenko, Valeriya, Nongmaithem, Suraj S, Sankareswaran, Alagu, Irvin, Marguerite R, Oldmeadow, Christopher, Kim, Han-Na, Ryu, Seungho, Timmers, Paul R H J, Arbeeva, Liubov, Dorajoo, Rajkumar, Lange, Leslie A, Prasad, Gauri, Lorés-Motta, Laura, Pauper, Marc, Long, Jirong, Li, Xiaohui, Theusch, Elizabeth, Takeuchi, Fumihiko, Spracklen, Cassandra N, Loukola, Anu, Bollepalli, Sailalitha, Warner, Sophie C, Wang, Ya Xing, Wei, Wen B, Nutile, Teresa, Ruggiero, Daniela, Sung, Yun Ju, Chen, Shufeng, Liu, Fangchao, Yang, Jingyun, Kentistou, Katherine A, Banas, Bernhard, Morgan, Anna, Meidtner, Karina, Bielak, Lawrence F, Smith, Jennifer A, Hebbar, Prashantha, Farmaki, Aliki-Eleni, Hofer, Edith, Lin, Maoxuan, Concas, Maria Pina, Vaccargiu, Simona, van der Most, Peter J, Pitkänen, Niina, Cade, Brian E, van der Laan, Sander W, Chitrala, Kumaraswamy Naidu, Weiss, Stefan, Bentley, Amy R, Doumatey, Ayo P, Adeyemo, Adebowale A, Lee, Jong Young, Petersen, Eva R B, Nielsen, Aneta A, Choi, Hyeok Sun, Nethander, Maria, Freitag-Wolf, Sandra, Southam, Lorraine, Rayner, Nigel W, Wang, Carol A, Lin, Shih-Yi, Wang, Jun-Sing, Couture, Christian, Lyytikäinen, Leo-Pekka, Nikus, Kjell, Cuellar-Partida, Gabriel, Vestergaard, Henrik, Hidalgo, Bertha, Giannakopoulou, Olga, Cai, Qiuyin, Obura, Morgan O, van Setten, Jessica, He, Karen Y, Tang, Hua, Terzikhan, Natalie, Shin, Jae Hun, Jackson, Rebecca D, Reiner, Alexander P, Martin, Lisa Warsinger, Chen, Zhengming, Li, Liming, Kawaguchi, Takahisa, Thiery, Joachim, Bis, Joshua C, Launer, Lenore J, Li, Huaixing, Nalls, Mike A, Raitakari, Olli T, Ichihara, Sahoko, Wild, Sarah H, Nelson, Christopher P, Campbell, Harry, Jäger, Susanne, Nabika, Toru, Al-Mulla, Fahd, Niinikoski, Harri, Braund, Peter S, Kolcic, Ivana, Kovacs, Peter, Giardoglou, Tota, Katsuya, Tomohiro, de Kleijn, Dominique, de Borst, Gert J, Kim, Eung Kweon, Adams, Hieab H H, Ikram, M Arfan, Zhu, Xiaofeng, Asselbergs, Folkert W, Kraaijeveld, Adriaan O, Beulens, Joline W J, Shu, Xiao-Ou, Rallidis, Loukianos S, Pedersen, Oluf, Hansen, Torben, Mitchell, Paul, Hewitt, Alex W, Kähönen, Mika, Pérusse, Louis, Bouchard, Claude, Tönjes, Anke, Ida Chen, Yii-Der, Pennell, Craig E, Mori, Trevor A, Lieb, Wolfgang, Franke, Andre, Ohlsson, Claes, Mellström, Dan, Cho, Yoon Shin, Lee, Hyejin, Yuan, Jian-Min, Koh, Woon-Puay, Rhee, Sang Youl, Woo, Jeong-Taek, Heid, Iris M, Stark, Klaus J, Zimmermann, Martina E, Völzke, Henry, Homuth, Georg, Evans, Michele K, Zonderman, Alan B, Polasek, Ozren, Pasterkamp, Gerard, Hoefer, Imo E, Redline, Susan, Pahkala, Katja, Oldehinkel, Albertine J, Snieder, Harold, Biino, Ginevra, Schmidt, Reinhold, Schmidt, Helena, Bandinelli, Stefania, Dedoussis, George, Thanaraj, Thangavel Alphonse, Peyser, Patricia A, Kato, Norihiro, Schulze, Matthias B, Girotto, Giorgia, Böger, Carsten A, Jung, Bettina, Joshi, Peter K, Bennett, David A, De Jager, Philip L, Lu, Xiangfeng, Mamakou, Vasiliki, Brown, Morris, Caulfield, Mark J, Munroe, Patricia B, Guo, Xiuqing, Ciullo, Marina, Jonas, Jost B, Samani, Nilesh J, Kaprio, Jaakko, Pajukanta, Päivi, Tusié-Luna, Teresa, Aguilar-Salinas, Carlos A, Adair, Linda S, Bechayda, Sonny Augustin, de Silva, H Janaka, Wickremasinghe, Ananda R, Krauss, Ronald M, Wu, Jer-Yuarn, Zheng, Wei, den Hollander, Anneke I, Bharadwaj, Dwaipayan, Correa, Adolfo, Wilson, James G, Lind, Lars, Heng, Chew-Kiat, Nelson, Amanda E, Golightly, Yvonne M, Wilson, James F, Penninx, Brenda, Kim, Hyung-Lae, Attia, John, Scott, Rodney J, Rao, D C, Arnett, Donna K, Walker, Mark, Scott, Laura J, Koistinen, Heikki A, Chandak, Giriraj R, Mercader, Josep M, Villalpando, Clicerio Gonzalez, Orozco, Lorena, Fornage, Myriam, Tai, E Shyong, van Dam, Rob M, Lehtimäki, Terho, Chaturvedi, Nish, Yokota, Mitsuhiro, Liu, Jianjun, Reilly, Dermot F, McKnight, Amy Jayne, Kee, Frank, Jöckel, Karl-Heinz, McCarthy, Mark I, Palmer, Colin N A, Vitart, Veronique, Hayward, Caroline, Simonsick, Eleanor, van Duijn, Cornelia M, Jin, Zi-Bing, Lu, Fan, Hishigaki, Haretsugu, Lin, Xu, März, Winfried, Gudnason, Vilmundur, Tardif, Jean-Claude, Lettre, Guillaume, T Hart, Leen M, Elders, Petra J M, Rader, Daniel J, Damrauer, Scott M, Kumari, Meena, Kivimaki, Mika, van der Harst, Pim, Spector, Tim D, Loos, Ruth J F, Province, Michael A, Parra, Esteban J, Cruz, Miguel, Psaty, Bruce M, Brandslund, Ivan, Pramstaller, Peter P, Rotimi, Charles N, Christensen, Kaare, Ripatti, Samuli, Widén, Elisabeth, Hakonarson, Hakon, Grant, Struan F A, Kiemeney, Lambertus, de Graaf, Jacqueline, Loeffler, Markus, Kronenberg, Florian, Gu, Dongfeng, Erdmann, Jeanette, Schunkert, Heribert, Franks, Paul W, Linneberg, Allan, Jukema, J Wouter, Khera, Amit V, Männikkö, Minna, Jarvelin, Marjo-Riitta, Kutalik, Zoltan, Francesco, Cucca, Mook-Kanamori, Dennis O, Willems van Dijk, Ko, Watkins, Hugh, Strachan, David P, Grarup, Niels, Sever, Peter, Poulter, Neil, Huey-Herng Sheu, Wayne, Rotter, Jerome I, Dantoft, Thomas M, Karpe, Fredrik, Neville, Matt J, Timpson, Nicholas J, Cheng, Ching-Yu, Wong, Tien-Yin, Khor, Chiea Chuen, Li, Hengtong, Sabanayagam, Charumathi, Peters, Annette, Gieger, Christian, Hattersley, Andrew T, Pedersen, Nancy L, Magnusson, Patrik K E, Boomsma, Dorret I, de Geus, Eco J C, Cupples, L Adrienne, van Meurs, Joyce B J, Ikram, Arfan, Ghanbari, Mohsen, Gordon-Larsen, Penny, Huang, Wei, Kim, Young Jin, Tabara, Yasuharu, Wareham, Nicholas J, Langenberg, Claudia, Zeggini, Eleftheria, Tuomilehto, Jaakko, Kuusisto, Johanna, Laakso, Markku, Ingelsson, Erik, Abecasis, Goncalo, Chambers, John C, Kooner, Jaspal S, de Vries, Paul S, Morrison, Alanna C, Hazelhurst, Scott, Ramsay, Michèle, North, Kari E, Daviglus, Martha, Kraft, Peter, Martin, Nicholas G, Whitfield, John B, Abbas, Shahid, Saleheen, Danish, Walters, Robin G, Holmes, Michael V, Black, Corri, Smith, Blair H, Baras, Aris, Justice, Anne E, Buring, Julie E, Ridker, Paul M, Chasman, Daniel I, Kooperberg, Charles, Tamiya, Gen, Yamamoto, Masayuki, van Heel, David A, Trembath, Richard C, Wei, Wei-Qi, Jarvik, Gail P, Namjou, Bahram, Hayes, M Geoffrey, Ritchie, Marylyn D, Jousilahti, Pekka, Salomaa, Veikko, Hveem, Kristian, Åsvold, Bjørn Olav, Kubo, Michiaki, Kamatani, Yoichiro, Okada, Yukinori, Murakami, Yoshinori, Kim, Bong-Jo, Thorsteinsdottir, Unnur, Stefansson, Kari, Zhang, Jifeng, Chen, Y Eugene, Ho, Yuk-Lam, Lynch, Julie A, Tsao, Philip S, Chang, Kyong-Mi, Cho, Kelly, O'Donnell, Christopher J, Gaziano, John M, Wilson, Peter, Mohlke, Karen L, Frayling, Timothy M, Hirschhorn, Joel N, Kathiresan, Sekar, Boehnke, Michael, Million Veterans Program, Global Lipids Genetics Consortium, Struan Grant, Natarajan, Pradeep, Sun, Yan V, Morris, Andrew P, Deloukas, Panos, Peloso, Gina, Assimes, Themistocles L, Willer, Cristen J, Zhu, Xiang, Brown, Christopher D, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Tampere University, Clinical Medicine, Department of Clinical Chemistry, TAYS Heart Centre, Department of Clinical Physiology and Nuclear Medicine, Ramdas, Shweta, Judd, Jonathan, Graham, Sarah E, Kanoni, Stavroula, Wang, Yuxuan, Surakka, Ida, Wenz, Brandon, Clarke, Shoa L, Chesi, Alessandra, Wells, Andrew, Bhatti, Konain Fatima, Vedantam, Sailaja, Winkler, Thomas W, Locke, Adam E, Marouli, Eirini, Zajac, Greg J M, Wu, Kuan-Han H, Ntalla, Ioanna, Hui, Qin, Klarin, Derek, Hilliard, Austin T, Wang, Zeyuan, Xue, Chao, Thorleifsson, Gudmar, Helgadottir, Anna, Gudbjartsson, Daniel F, Holm, Hilma, Olafsson, Isleifur, Hwang, Mi Yeong, Han, Sohee, Akiyama, Masato, Sakaue, Saori, Terao, Chikashi, Kanai, Masahiro, Zhou, Wei, Brumpton, Ben M, Rasheed, Humaira, Havulinna, Aki S, Veturi, Yogasudha, Pacheco, Jennifer Allen, Rosenthal, Elisabeth A, Lingren, Todd, Feng, Qiping, Kullo, Iftikhar J, Narita, Akira, Takayama, Jun, Martin, Hilary C, Hunt, Karen A, Trivedi, Bhavi, Haessler, Jeffrey, Giulianini, Franco, Bradford, Yuki, Miller, Jason E, Campbell, Archie, Lin, Kuang, Millwood, Iona Y, Rasheed, Asif, Hindy, George, Faul, Jessica D, Zhao, Wei, Weir, David R, Turman, Constance, Huang, Hongyan, Graff, Mariaelisa, Choudhury, Ananyo, Sengupta, Dhriti, Mahajan, Anubha, Brown, Michael R, Zhang, Weihua, Yu, Ketian, Schmidt, Ellen M, Pandit, Anita, Gustafsson, Stefan, Yin, Xianyong, Luan, Jian'An, Zhao, Jing-Hua, Matsuda, Fumihiko, Jang, Hye-Mi, Yoon, Kyungheon, Medina-Gomez, Carolina, Pitsillides, Achillea, Hottenga, Jouke Jan, Wood, Andrew R, Ji, Yingji, Gao, Zishan, Haworth, Simon, Mitchell, Ruth E, Chai, Jin Fang, Aadahl, Mette, Bjerregaard, Anne A, Yao, Jie, Manichaikul, Ani, Lee, Wen-Jane, Hsiung, Chao Agne, Warren, Helen R, Ramirez, Julia, Bork-Jensen, Jette, Kårhus, Line L, Goel, Anuj, Sabater-Lleal, Maria, Noordam, Raymond, Mauro, Pala, Matteo, Flori, Mcdaid, Aaron F, Marques-Vidal, Pedro, Wielscher, Matthia, Trompet, Stella, Sattar, Naveed, Møllehave, Line T, Munz, Matthia, Zeng, Lingyao, Huang, Jianfeng, Yang, Bin, Poveda, Alaitz, Kurbasic, Azra, Schönherr, Sebastian, Forer, Luka, Scholz, Marku, Galesloot, Tessel E, Bradfield, Jonathan P, Ruotsalainen, Sanni E, Daw, E Warwick, Zmuda, Joseph M, Mitchell, Jonathan S, Fuchsberger, Christian, Christensen, Henry, Brody, Jennifer A, Le, Phuong, Feitosa, Mary F, Wojczynski, Mary K, Hemerich, Daiane, Preuss, Michael, Mangino, Massimo, Christofidou, Paraskevi, Verweij, Niek, Benjamins, Jan W, Engmann, Jorgen, Noah, Tsao L, Verma, Anurag, Slieker, Roderick C, Lo, Ken Sin, Zilhao, Nuno R, Kleber, Marcus E, Delgado, Graciela E, Huo, Shaofeng, Ikeda, Daisuke D, Iha, Hiroyuki, Yang, Jian, Liu, Jun, Demirkan, Ayşe, Leonard, Hampton L, Marten, Jonathan, Emmel, Carina, Schmidt, Börge, Smyth, Laura J, Cañadas-Garre, Marisa, Wang, Chaolong, Nakatochi, Masahiro, Wong, Andrew, Hutri-Kähönen, Nina, Sim, Xueling, Xia, Rui, Huerta-Chagoya, Alicia, Fernandez-Lopez, Juan Carlo, Lyssenko, Valeriya, Nongmaithem, Suraj S, Sankareswaran, Alagu, Irvin, Marguerite R, Oldmeadow, Christopher, Kim, Han-Na, Ryu, Seungho, Timmers, Paul R H J, Arbeeva, Liubov, Dorajoo, Rajkumar, Lange, Leslie A, Prasad, Gauri, Lorés-Motta, Laura, Pauper, Marc, Long, Jirong, Li, Xiaohui, Theusch, Elizabeth, Takeuchi, Fumihiko, Spracklen, Cassandra N, Loukola, Anu, Bollepalli, Sailalitha, Warner, Sophie C, Wang, Ya Xing, Wei, Wen B, Nutile, Teresa, Ruggiero, Daniela, Sung, Yun Ju, Chen, Shufeng, Liu, Fangchao, Yang, Jingyun, Kentistou, Katherine A, Banas, Bernhard, Morgan, Anna, Meidtner, Karina, Bielak, Lawrence F, Smith, Jennifer A, Hebbar, Prashantha, Farmaki, Aliki-Eleni, Hofer, Edith, Lin, Maoxuan, Concas, Maria Pina, Vaccargiu, Simona, van der Most, Peter J, Pitkänen, Niina, Cade, Brian E, van der Laan, Sander W, Chitrala, Kumaraswamy Naidu, Weiss, Stefan, Bentley, Amy R, Doumatey, Ayo P, Adeyemo, Adebowale A, Lee, Jong Young, Petersen, Eva R B, Nielsen, Aneta A, Choi, Hyeok Sun, Nethander, Maria, Freitag-Wolf, Sandra, Southam, Lorraine, Rayner, Nigel W, Wang, Carol A, Lin, Shih-Yi, Wang, Jun-Sing, Couture, Christian, Lyytikäinen, Leo-Pekka, Nikus, Kjell, Cuellar-Partida, Gabriel, Vestergaard, Henrik, Hidalgo, Bertha, Giannakopoulou, Olga, Cai, Qiuyin, Obura, Morgan O, van Setten, Jessica, He, Karen Y, Tang, Hua, Terzikhan, Natalie, Shin, Jae Hun, Jackson, Rebecca D, Reiner, Alexander P, Martin, Lisa Warsinger, Chen, Zhengming, Li, Liming, Kawaguchi, Takahisa, Thiery, Joachim, Bis, Joshua C, Launer, Lenore J, Li, Huaixing, Nalls, Mike A, Raitakari, Olli T, Ichihara, Sahoko, Wild, Sarah H, Nelson, Christopher P, Campbell, Harry, Jäger, Susanne, Nabika, Toru, Al-Mulla, Fahd, Niinikoski, Harri, Braund, Peter S, Kolcic, Ivana, Kovacs, Peter, Giardoglou, Tota, Katsuya, Tomohiro, de Kleijn, Dominique, de Borst, Gert J, Kim, Eung Kweon, Adams, Hieab H H, Ikram, M Arfan, Zhu, Xiaofeng, Asselbergs, Folkert W, Kraaijeveld, Adriaan O, Beulens, Joline W J, Shu, Xiao-Ou, Rallidis, Loukianos S, Pedersen, Oluf, Hansen, Torben, Mitchell, Paul, Hewitt, Alex W, Kähönen, Mika, Pérusse, Loui, Bouchard, Claude, Tönjes, Anke, Ida Chen, Yii-Der, Pennell, Craig E, Mori, Trevor A, Lieb, Wolfgang, Franke, Andre, Ohlsson, Clae, Mellström, Dan, Cho, Yoon Shin, Lee, Hyejin, Yuan, Jian-Min, Koh, Woon-Puay, Rhee, Sang Youl, Woo, Jeong-Taek, Heid, Iris M, Stark, Klaus J, Zimmermann, Martina E, Völzke, Henry, Homuth, Georg, Evans, Michele K, Zonderman, Alan B, Polasek, Ozren, Pasterkamp, Gerard, Hoefer, Imo E, Redline, Susan, Pahkala, Katja, Oldehinkel, Albertine J, Snieder, Harold, Biino, Ginevra, Schmidt, Reinhold, Schmidt, Helena, Bandinelli, Stefania, Dedoussis, George, Thanaraj, Thangavel Alphonse, Peyser, Patricia A, Kato, Norihiro, Schulze, Matthias B, Girotto, Giorgia, Böger, Carsten A, Jung, Bettina, Joshi, Peter K, Bennett, David A, De Jager, Philip L, Lu, Xiangfeng, Mamakou, Vasiliki, Brown, Morri, Caulfield, Mark J, Munroe, Patricia B, Guo, Xiuqing, Ciullo, Marina, Jonas, Jost B, Samani, Nilesh J, Kaprio, Jaakko, Pajukanta, Päivi, Tusié-Luna, Teresa, Aguilar-Salinas, Carlos A, Adair, Linda S, Bechayda, Sonny Augustin, de Silva, H Janaka, Wickremasinghe, Ananda R, Krauss, Ronald M, Wu, Jer-Yuarn, Zheng, Wei, den Hollander, Anneke I, Bharadwaj, Dwaipayan, Correa, Adolfo, Wilson, James G, Lind, Lar, Heng, Chew-Kiat, Nelson, Amanda E, Golightly, Yvonne M, Wilson, James F, Penninx, Brenda, Kim, Hyung-Lae, Attia, John, Scott, Rodney J, Rao, D C, Arnett, Donna K, Walker, Mark, Scott, Laura J, Koistinen, Heikki A, Chandak, Giriraj R, Mercader, Josep M, Villalpando, Clicerio Gonzalez, Orozco, Lorena, Fornage, Myriam, Tai, E Shyong, van Dam, Rob M, Lehtimäki, Terho, Chaturvedi, Nish, Yokota, Mitsuhiro, Liu, Jianjun, Reilly, Dermot F, Mcknight, Amy Jayne, Kee, Frank, Jöckel, Karl-Heinz, Mccarthy, Mark I, Palmer, Colin N A, Vitart, Veronique, Hayward, Caroline, Simonsick, Eleanor, van Duijn, Cornelia M, Jin, Zi-Bing, Lu, Fan, Hishigaki, Haretsugu, Lin, Xu, März, Winfried, Gudnason, Vilmundur, Tardif, Jean-Claude, Lettre, Guillaume, T Hart, Leen M, Elders, Petra J M, Rader, Daniel J, Damrauer, Scott M, Kumari, Meena, Kivimaki, Mika, van der Harst, Pim, Spector, Tim D, Loos, Ruth J F, Province, Michael A, Parra, Esteban J, Cruz, Miguel, Psaty, Bruce M, Brandslund, Ivan, Pramstaller, Peter P, Rotimi, Charles N, Christensen, Kaare, Ripatti, Samuli, Widén, Elisabeth, Hakonarson, Hakon, Grant, Struan F A, Kiemeney, Lambertu, de Graaf, Jacqueline, Loeffler, Marku, Kronenberg, Florian, Gu, Dongfeng, Erdmann, Jeanette, Schunkert, Heribert, Franks, Paul W, Linneberg, Allan, Jukema, J Wouter, Khera, Amit V, Männikkö, Minna, Jarvelin, Marjo-Riitta, Kutalik, Zoltan, Francesco, Cucca, Mook-Kanamori, Dennis O, Willems van Dijk, Ko, Watkins, Hugh, Strachan, David P, Grarup, Niel, Sever, Peter, Poulter, Neil, Huey-Herng Sheu, Wayne, Rotter, Jerome I, Dantoft, Thomas M, Karpe, Fredrik, Neville, Matt J, Timpson, Nicholas J, Cheng, Ching-Yu, Wong, Tien-Yin, Khor, Chiea Chuen, Li, Hengtong, Sabanayagam, Charumathi, Peters, Annette, Gieger, Christian, Hattersley, Andrew T, Pedersen, Nancy L, Magnusson, Patrik K E, Boomsma, Dorret I, de Geus, Eco J C, Cupples, L Adrienne, van Meurs, Joyce B J, Ikram, Arfan, Ghanbari, Mohsen, Gordon-Larsen, Penny, Huang, Wei, Kim, Young Jin, Tabara, Yasuharu, Wareham, Nicholas J, Langenberg, Claudia, Zeggini, Eleftheria, Tuomilehto, Jaakko, Kuusisto, Johanna, Laakso, Markku, Ingelsson, Erik, Abecasis, Goncalo, Chambers, John C, Kooner, Jaspal S, de Vries, Paul S, Morrison, Alanna C, Hazelhurst, Scott, Ramsay, Michèle, North, Kari E, Daviglus, Martha, Kraft, Peter, Martin, Nicholas G, Whitfield, John B, Abbas, Shahid, Saleheen, Danish, Walters, Robin G, Holmes, Michael V, Black, Corri, Smith, Blair H, Baras, Ari, Justice, Anne E, Buring, Julie E, Ridker, Paul M, Chasman, Daniel I, Kooperberg, Charle, Tamiya, Gen, Yamamoto, Masayuki, van Heel, David A, Trembath, Richard C, Wei, Wei-Qi, Jarvik, Gail P, Namjou, Bahram, Hayes, M Geoffrey, Ritchie, Marylyn D, Jousilahti, Pekka, Salomaa, Veikko, Hveem, Kristian, Åsvold, Bjørn Olav, Kubo, Michiaki, Kamatani, Yoichiro, Okada, Yukinori, Murakami, Yoshinori, Kim, Bong-Jo, Thorsteinsdottir, Unnur, Stefansson, Kari, Zhang, Jifeng, Chen, Y Eugene, Ho, Yuk-Lam, Lynch, Julie A, Tsao, Philip S, Chang, Kyong-Mi, Cho, Kelly, O'Donnell, Christopher J, Gaziano, John M, Wilson, Peter, Mohlke, Karen L, Frayling, Timothy M, Hirschhorn, Joel N, Kathiresan, Sekar, Boehnke, Michael, Struan Grant, Null, Natarajan, Pradeep, Sun, Yan V, Morris, Andrew P, Deloukas, Pano, Peloso, Gina, Assimes, Themistocles L, Willer, Cristen J, Zhu, Xiang, Brown, Christopher D, Epidemiology and Data Science, ACS - Diabetes & metabolism, ACS - Heart failure & arrhythmias, APH - Health Behaviors & Chronic Diseases, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, General practice, APH - Aging & Later Life, APH - Digital Health, Million Veterans Program, Global Lipids Genetics Consortium, Radiology & Nuclear Medicine, Internal Medicine, Epidemiology, Biological Psychology, APH - Personalized Medicine, APH - Methodology, AMS - Ageing & Vitality, and AMS - Sports

Subjects
regulatory mechanism, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], post-GWAS, Medizin, complex traits, fine-mapping, functional genomics, lipid biology, variant prioritization, Medical and Health Sciences, Polymorphism, Single Nucleotide, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], Article, INTEGRATIVE ANALYSIS, WIDE ASSOCIATION, 3D GENOME, VARIANTS, CHOLESTEROL, ANNOTATION, OBESITY, COMMON, LOCI, EXPRESSION, functional genomic, Genetics, 2.1 Biological and endogenous factors, Humans, Genetics(clinical), Polymorphism, Aetiology, Genetics (clinical), Genetics & Heredity, Chromatin/genetics, Genome-Wide Association Study, Genomics, Lipids/genetics, Polymorphism, Single Nucleotide/genetics, Human Genome, Million Veterans Program, Global Lipids Genetics Consortium, Single Nucleotide, Biological Sciences, Lipids, Chromatin, complex trait, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], 3111 Biomedicine, Biotechnology
Abstract

A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ancestries with a wide array of functional genomic datasets to discover regulatory mechanisms underlying lipid associations. We first prioritize lipid-associated genes with expression quantitative trait locus (eQTL) colocalizations and then add chromatin interaction data to narrow the search for functional genes. Polygenic enrichment analysis across 697 annotations from a host of tissues and cell types confirms the central role of the liver in lipid levels and highlights the selective enrichment of adipose-specific chromatin marks in high-density lipoprotein cholesterol and triglycerides. Overlapping transcription factor (TF) binding sites with lipid-associated loci identifies TFs relevant in lipid biology. In addition, we present an integrative framework to prioritize causal variants at GWAS loci, producing a comprehensive list of candidate causal genes and variants with multiple layers of functional evidence. We highlight two of the prioritized genes, CREBRF and RRBP1, which show convergent evidence across functional datasets supporting their roles in lipid biology. Xiang Zhu is supported by the Stein Fellowship from Stanford University and Institute for Computational and Data Sciences Seed Grant from The Pennsylvania State University. C.D.B. is supported by the NIH (R01-HL133218). Funding for the Global Lipids Genetics Consortium was provided by the NIH (R01-HL127564). This research was conducted using the UK Biobank Resource under application number 24460. This research is based on data from the Million Veteran Program, Office of Research and Development, Veterans Health Administration, and was supported by awards 2I01BX003362-03A1 and 1I01BX004821-01A1. This publication does not represent the views of the Department of Veteran Affairs or the United States Government. We thank Bethany Klunder for administrative support. Study-specific acknowledgments are provided in the supplemental information.

Published
2022
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10. Genetically determined serum urate levels and cardiovascular and other diseases in UK Biobank cohort: A phenome-wide mendelian randomization study

Author

Li, Xue, Meng, Xiangrui, He, Yazhou, Spiliopoulou, Athina, Timofeeva, Maria, Wei, Wei-Qi, Gifford, Aliya, Yang, Tian, Varley, Tim, Tzoulaki, Ioanna, Joshi, Peter, Denny, Joshua C., Mckeigue, Paul, Campbell, Harry, and Theodoratou, Evropi

Subjects
Analysis, Atherosclerosis -- Analysis, Hypertension -- Analysis, Heart attack -- Analysis, Type 2 diabetes -- Analysis, Arthritis -- Analysis, Genomics -- Analysis, Genetics, Hypercholesterolemia, Gout, Coronary heart disease, Ischemia, Angina pectoris, Phenotypes, Heart failure, Bayesian analysis, Heart diseases, Myocardial ischemia, Cardiovascular diseases, Comorbidity
Abstract

Author(s): Xue Li 1, Xiangrui Meng 1, Yazhou He 1, Athina Spiliopoulou 2, Maria Timofeeva 3, Wei-Qi Wei 4, Aliya Gifford 4, Tian Yang 1, Tim Varley 5, Ioanna Tzoulaki [...], Background The role of urate in cardiovascular diseases (CVDs) has been extensively investigated in observational studies; however, the extent of any causal effect remains unclear, making it difficult to evaluate its clinical relevance. Methods and findings A phenome-wide association study (PheWAS) together with a Bayesian analysis of tree-structured phenotypic model (TreeWAS) was performed to examine disease outcomes related to genetically determined serum urate levels in 339,256 unrelated White British individuals (54% female) in the UK Biobank who were aged 40-69 years (mean age, 56.87; SD, 7.99) when recruited from 2006 to 2010. Mendelian randomization (MR) analyses were performed to replicate significant findings using various genome-wide association study (GWAS) consortia data. Sensitivity analyses were conducted to examine possible pleiotropic effects on metabolic traits of the genetic variants used as instruments for urate. PheWAS analysis, examining the association with 1,431 disease outcomes, identified 13 distinct phecodes representing 4 disease groups (inflammatory polyarthropathies, hypertensive disease, circulatory disease, and metabolic disorders) and 9 disease outcomes (gout, gouty arthropathy, pyogenic arthritis, essential hypertension, coronary atherosclerosis, ischemic heart disease, chronic ischemic heart disease, myocardial infarction, and hypercholesterolemia) that were associated with genetically determined serum urate levels after multiple testing correction (p < 3.35 x 10.sup.-4). TreeWAS analysis, examining 10,750 ICD-10 diagnostic terms, identified more sub-phenotypes of cardiovascular and cerebrovascular diseases (e.g., angina pectoris, heart failure, cerebral infarction). MR analysis successfully replicated the association with gout, hypertension, heart diseases, and blood lipid levels but indicated the existence of genetic pleiotropy. Sensitivity analyses support an inference that pleiotropic effects of genetic variants on urate and metabolic traits contribute to the observational associations with CVDs. The main limitations of this study relate to possible bias from pleiotropic effects of the considered genetic variants and possible misclassification of cases for mild disease that did not require hospitalization. Conclusion In this study, high serum urate levels were found to be associated with increased risk of different types of cardiac events. The finding of genetic pleiotropy indicates the existence of common upstream pathological elements influencing both urate and metabolic traits, and this may suggest new opportunities and challenges for developing drugs targeting a common mediator that would be beneficial for both the treatment of gout and the prevention of cardiovascular comorbidities.

Published
2019
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11. In vitro differentiation of mouse embryonic stem cells into functional hepatocytes by sodium butyrate, hepatocyte growth factor and dexamethasone under chemically defined conditions

Author

Fan Yixuan, Yongcong Wu, Wei-Wei Qi, Yang Song, Wang Feng, Yibo Yan, and Bushuai Zhong

Subjects
KOSR, Cellular differentiation, Cell, Sodium butyrate, Biology, Applied Microbiology and Biotechnology, Embryonic stem cell, Molecular biology, In vitro, chemistry.chemical_compound, medicine.anatomical_structure, chemistry, Neurosphere, Genetics, medicine, Hepatocyte growth factor, Embryonic stem cells, hepatic-like cells, in vitro differentiation, sodium butyrate, hepatocyte growth factor, dexamethason, Agronomy and Crop Science, Molecular Biology, Biotechnology, medicine.drug
Abstract

Studies have shown that embryonic stem (ES) cells can be successfully differentiated into liver cells, which offer the potential unlimited cell source for a variety of end-stage liver disease. In our study, in order to induce mouse ES cells to differentiate into hepatocyte-like cells under chemically defined conditions, ES cells were induced by sodium butyrate as inducer for 7 days in the first phase, followed by the combination of hepatocyte growth factor and dexamethasone as inducers for 12 days in the second phase based on an adherent culture system with a two-step induction. The results from the morphology, gene expression, protein molecular markers and cell function of ES-D3 cells derived hepatocyte-like cells demonstrated that mES cells can be differentiated efficiently in vitro to functional hepatocytes under chemically defined conditions, which might be useful as an in vitro system for hepatocyte transplantation therapy and toxicity screening in drug discovery. Key words : Embryonic stem cells, hepatic-like cells, in vitro differentiation, sodium butyrate, hepatocyte growth factor, dexamethason.

Published
2011
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12. Using topic modeling via non-negative matrix factorization to identify relationships between genetic variants and disease phenotypes: A case study of Lipoprotein(a) (LPA).

Author

Zhao, Juan, Feng, QiPing, Wu, Patrick, Warner, Jeremy L., Denny, Joshua C., and Wei, Wei-Qi

Subjects
LIPOPROTEINS, SINGLE nucleotide polymorphisms, ELECTRONIC health records, CARDIOVASCULAR diseases, GENOMES
Abstract

Genome-wide and phenome-wide association studies are commonly used to identify important relationships between genetic variants and phenotypes. Most studies have treated diseases as independent variables and suffered from the burden of multiple adjustment due to the large number of genetic variants and disease phenotypes. In this study, we used topic modeling via non-negative matrix factorization (NMF) for identifying associations between disease phenotypes and genetic variants. Topic modeling is an unsupervised machine learning approach that can be used to learn patterns from electronic health record data. We chose the single nucleotide polymorphism (SNP) rs10455872 in LPA as the predictor since it has been shown to be associated with increased risk of hyperlipidemia and cardiovascular diseases (CVD). Using data of 12,759 individuals with electronic health records (EHR) and linked DNA samples at Vanderbilt University Medical Center, we trained a topic model using NMF from 1,853 distinct phenotypes and identified six topics. We tested their associations with rs10455872 in LPA. Topics enriched for CVD and hyperlipidemia had positive correlations with rs10455872 (P < 0.001), replicating a previous finding. We also identified a negative correlation between LPA and a topic enriched for lung cancer (P < 0.001) which was not previously identified via phenome-wide scanning. We were able to replicate the top finding in a separate dataset. Our results demonstrate the applicability of topic modeling in exploring the relationship between genetic variants and clinical diseases. [ABSTRACT FROM AUTHOR]

Published
2019
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13. Electrical stimulation therapy improves sleep respiratory parameters in obstructive sleep apnea syndrome: a meta-analysis

Author

Rui-Xin Ye, Wei-Wei Qi, Jie-Wen Tan, and Yuan-Yuan Wu

Subjects
Sleep Apnea, Obstructive, business.industry, Biomedical Engineering, Sleep apnea, Apnea, Stimulation, Electric Stimulation Therapy, Respiratory physiology, medicine.disease, Biochemistry, respiratory tract diseases, Biomaterials, Obstructive sleep apnea, Clinical trial, Meta-analysis, Anesthesia, Respiratory disturbance index, Genetics, medicine, Respiratory Mechanics, Humans, medicine.symptom, business, Sleep, Earth-Surface Processes
Abstract

Recent clinical trials have shown that electrical stimulation has beneficial effects in obstructive sleep apnea syndrome (OSAS). The purpose of this study was to evaluate the efficacy of electrical stimulation therapy for OSAS with a meta-analysis. The meta-analysis of all relative studies was performed through searching international literature, including PUBMED, CNKI, and EMBASE databases. This literature analysis compared all patients undergoing electrical stimulation therapy with respect to the respiratory disturbance index (RDI) and changes in sleep structure. Six studies were selected involving a total of 91 patients. The meta-analysis indicated that electrical stimulation therapy reduced RDI, longest apnea time, and improved the minimum SaO2. Based on the evidence found, electrical stimulation may be a potential therapy for OSAS, warranting further clinical trials.

Published
2013

14. Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record.

Author

Wei, Wei-Qi, Bastarache, Lisa A., Carroll, Robert J., Marlo, Joy E., Osterman, Travis J., Gamazon, Eric R., Cox, Nancy J., Roden, Dan M., and Denny, Joshua C.

Subjects
*MEDICAL records, *PHENOTYPES, *MEDICAL care, *CLINICAL competence, *GENE libraries
Abstract

Objective: To compare three groupings of Electronic Health Record (EHR) billing codes for their ability to represent clinically meaningful phenotypes and to replicate known genetic associations. The three tested coding systems were the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes, the Agency for Healthcare Research and Quality Clinical Classification Software for ICD-9-CM (CCS), and manually curated “phecodes” designed to facilitate phenome-wide association studies (PheWAS) in EHRs. Methods and materials: We selected 100 disease phenotypes and compared the ability of each coding system to accurately represent them without performing additional groupings. The 100 phenotypes included 25 randomly-chosen clinical phenotypes pursued in prior genome-wide association studies (GWAS) and another 75 common disease phenotypes mentioned across free-text problem lists from 189,289 individuals. We then evaluated the performance of each coding system to replicate known associations for 440 SNP-phenotype pairs. Results: Out of the 100 tested clinical phenotypes, phecodes exactly matched 83, compared to 53 for ICD-9-CM and 32 for CCS. ICD-9-CM codes were typically too detailed (requiring custom groupings) while CCS codes were often not granular enough. Among 440 tested known SNP-phenotype associations, use of phecodes replicated 153 SNP-phenotype pairs compared to 143 for ICD-9-CM and 139 for CCS. Phecodes also generally produced stronger odds ratios and lower p-values for known associations than ICD-9-CM and CCS. Finally, evaluation of several SNPs via PheWAS identified novel potential signals, some seen in only using the phecode approach. Among them, rs7318369 in PEPD was associated with gastrointestinal hemorrhage. Conclusion: Our results suggest that the phecode groupings better align with clinical diseases mentioned in clinical practice or for genomic studies. ICD-9-CM, CCS, and phecode groupings all worked for PheWAS-type studies, though the phecode groupings produced superior results. [ABSTRACT FROM AUTHOR]

Published
2017
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15. A missense variant in mitochondrial amidoxime reducing component 1 gene and protection against liver disease

Author

Tuomo Kiiskinen, Matthew J. Bown, Sekar Kathiresan, James G. Wilson, John Danesh, Heribert Schunkert, Krishna G. Aragam, Joshua C. Denny, Million Veteran Program, Diego Ardissino, Danish Saleheen, Marina Serper, Julie A. Lynch, Marijana Vujkovic, Usman Baber, Alexander G. Bick, George Hindy, Amit Khera, Nilesh J. Samani, Connor A. Emdin, Mark J. Daly, Hugh Watkins, Ruth McPherson, Aki S. Havulinna, QiPing Feng, Scott M. Damrauer, Namrata Gupta, Derek Klarin, Roberto Elosua, Juha Karjalainen, Philip S Tsao, B F Voight, Josep M. Mercader, Craig L. Hanis, Kyong-Mi Chang, Mark Chaffin, Wei-Qi Wei, David E. Kaplan, Stacey Gabriel, Lan Jiang, Jeanette Erdmann, Mary E. Haas, Institute for Molecular Medicine Finland, University of Helsinki, Complex Disease Genetics, Genomics of Neurological and Neuropsychiatric Disorders, HUS Helsinki and Uusimaa Hospital District, Emdin, Connor A. [0000-0003-2337-1229], Haas, Mary E. [0000-0002-2816-9268], Khera, Amit V. [0000-0001-6535-5839], Chaffin, Mark [0000-0002-1234-5562], Klarin, Derek [0000-0002-4636-5780], Jiang, Lan [0000-0002-2583-3661], Wei, Wei-Qi [0000-0003-4985-056X], Feng, Qiping [0000-0002-6213-793X], Havulinna, Aki [0000-0002-4787-8959], Kiiskinen, Tuomo [0000-0002-6306-8227], Bick, Alexander [0000-0001-5824-9595], Ardissino, Diego [0000-0003-0410-3528], Schunkert, Heribert [0000-0001-6428-3001], McPherson, Ruth [0000-0002-9087-6107], Erdmann, Jeanette [0000-0002-4486-6231], Chang, Kyong-Mi [0000-0001-6811-9364], Vujkovic, Marijana [0000-0003-4924-5714], Voight, Ben [0000-0002-6205-9994], Damrauer, Scott [0000-0001-8009-1632], Lynch, Julie [0000-0003-0108-2127], Kaplan, David [0000-0002-3839-336X], Serper, Marina [0000-0003-4899-2160], Tsao, Philip [0000-0001-7274-9318], Mercader, Josep [0000-0001-8494-3660], Hanis, Craig [0000-0002-4880-5348], Denny, Joshua [0000-0002-3049-7332], Apollo - University of Cambridge Repository, Emdin, Connor A [0000-0003-2337-1229], Haas, Mary E [0000-0002-2816-9268], and Khera, Amit V [0000-0001-6535-5839]

Subjects
Liver Cirrhosis, Male, Cancer Research, Cirrhosis, Datasets as Topic, PROTEIN, Coronary Artery Disease, QH426-470, Fetge -- Malalties, Biochemistry, Vascular Medicine, Liver disease, chemistry.chemical_compound, 0302 clinical medicine, Sociology, ANGPTL3, Consortia, Liver Cirrhosis, Alcoholic, Loss of Function Mutation, Psychology, Coronary Heart Disease, CONFERS SUSCEPTIBILITY, Genetics (clinical), 0303 health sciences, Liver Diseases, Homozygote, Fatty liver, 1184 Genetics, developmental biology, physiology, Middle Aged, Lipids, Addicts, 3. Good health, Cholesterol, Liver, Alkaline phosphatase, Female, Oxidoreductases, ENZYMES, Colesterol, Research Article, medicine.medical_specialty, Cirrosi hepàtica, Cardiology, Mutation, Missense, Addiction, Gastroenterology and Hepatology, Biology, Social sciences, TM6SF2, Mitochondrial Proteins, 03 medical and health sciences, Internal medicine, Genetics, medicine, Humans, Genetic Predisposition to Disease, Alcoholics, GENOME-WIDE ASSOCIATION, Molecular Biology, Alleles, Ecology, Evolution, Behavior and Systematics, PNPLA3, 030304 developmental biology, Medicine and health sciences, Biology and life sciences, MORTALITY, Correction, Cholesterol, LDL, medicine.disease, RISK LOCI, Mitochondrial amidoxime reducing component 1, Fatty Liver, Endocrinology, YIELD, chemistry, Alanine transaminase, Genetic Loci, biology.protein, 3111 Biomedicine, Proteïnes, 030217 neurology & neurosurgery
Abstract

Analyzing 12,361 all-cause cirrhosis cases and 790,095 controls from eight cohorts, we identify a common missense variant in the Mitochondrial Amidoxime Reducing Component 1 gene (MARC1 p.A165T) that associates with protection from all-cause cirrhosis (OR 0.91, p = 2.3*10−11). This same variant also associates with lower levels of hepatic fat on computed tomographic imaging and lower odds of physician-diagnosed fatty liver as well as lower blood levels of alanine transaminase (-0.025 SD, 3.7*10−43), alkaline phosphatase (-0.025 SD, 1.2*10−37), total cholesterol (-0.030 SD, p = 1.9*10−36) and LDL cholesterol (-0.027 SD, p = 5.1*10−30) levels. We identified a series of additional MARC1 alleles (low-frequency missense p.M187K and rare protein-truncating p.R200Ter) that also associated with lower cholesterol levels, liver enzyme levels and reduced risk of cirrhosis (0 cirrhosis cases for 238 R200Ter carriers versus 17,046 cases of cirrhosis among 759,027 non-carriers, p = 0.04) suggesting that deficiency of the MARC1 enzyme may lower blood cholesterol levels and protect against cirrhosis., Author summary Cirrhosis is a leading cause of death worldwide. However, the genetic underpinnings of cirrhosis remain poorly understood. In this study, we analyze twelve thousand individuals with cirrhosis and identify a common missense variant in a gene called MARC1 that protects against cirrhosis. Carriers of this missense variant also have lower blood cholesterol levels, lower liver enzyme levels and reduced liver fat. We identify an additional two low-frequency coding variants in MARC1 that are also associated with lower cholesterol levels, lower liver enzyme levels and protection from cirrhosis. Finally, we identify an individual homozygous for a predicted loss-of-function variant in MARC1 who exhibits very low blood LDL cholesterol levels. These genetic findings suggest that MARC1 deficiency may lower blood cholesterol levels and protect against cirrhosis, pointing to MARC1 as a potential therapeutic target for liver disease.

Published
2020

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