Search

Your search keyword '"Ayo P. Doumatey"' showing total 37 results
Start Over Author "Ayo P. Doumatey" Language english
37 results on '"Ayo P. Doumatey"'

1. Optimized methods for scRNA-seq and snRNA-seq of skeletal muscle stored in nucleic acid stabilizing preservative

Author

Elisabeth F. Heuston, Ayo P. Doumatey, Faiza Naz, Shamima Islam, Stacie Anderson, Martha R. Kirby, Stephen Wincovitch, Stefania Dell’Orso, Charles N. Rotimi, and Adebowale A. Adeyemo

Subjects
Biology (General), QH301-705.5
Abstract

Abstract Single cell studies have transformed our understanding of cellular heterogeneity in disease but the need for fresh starting material can be an obstacle, especially in the context of international multicenter studies and archived tissue. We developed a protocol to obtain high-quality cells and nuclei from dissected human skeletal muscle archived in the preservative Allprotect® Tissue Reagent. After fluorescent imaging microscopy confirmed intact nuclei, we performed four protocol variations that compared sequencing metrics between cells and nuclei enriched by either filtering or flow cytometry sorting. Cells and nuclei (either sorted or filtered) produced statistically identical transcriptional profiles and recapitulated 8 cell types present in skeletal muscle. Flow cytometry sorting successfully enriched for higher-quality cells and nuclei but resulted in an overall decrease in input material. Our protocol provides an important resource for obtaining high-quality single cell genomic material from archived tissue and to streamline global collaborative efforts.

Published
2025
Full Text
View/download PDF

2. Lipidomics profiling and circulating triglyceride concentrations in sub-Saharan African individuals

Author

Amy R. Bentley, Ayo P. Doumatey, Jie Zhou, Lin Lei, Karlijn A. C. Meeks, Elisabeth F. Heuston, Charles N. Rotimi, and Adebowale A. Adeyemo

Subjects
Medicine, Science
Abstract

Abstract Elevated triglycerides (TG) are a risk factor for cardiometabolic disorders. There are limited data on lipidomics profiles associated with serum triglycerides concentrations, although these could advance our understanding of the mechanisms underlying these associations. We conducted a lipidomics study of 308 Nigerians with replication in 199 Kenyans. Regression models were used to assess the association of TG with 480 lipid metabolites. Association and mediation analyses were conducted to determine the relationship among TG, metabolites, and several cardiometabolic traits. Ninety-nine metabolites were significantly associated with TG, and 91% of these associations replicated. Overrepresentation analysis identified enrichment of diacylglycerols, monoacylglycerols, diacylglycerophosphoethanolamines, monoacylglycerophosphocholines, ceramide phosphocholines, and diacylglycerophosphocholines. TG-cardiometabolic trait associations were largely mediated by TG-associated metabolites. Associations with type 2 diabetes, waist circumference, body mass index, total cholesterol, and low-density lipoprotein cholesterol concentration were independently mediated by metabolites in multiple subpathways. This lipidomics study in sub-Saharan Africans demonstrated that TG is associated with several non-TG lipids classes, including phosphatidylethanolamines, phosphatidylcholines, lysophospholipids, and plasmalogens, some of which may mediate the effect of TG as a risk factor for cardiometabolic disorders. The study identifies metabolites that are more proximal to cardiometabolic traits, which may be useful for understanding the underlying biology as well as differences in TG-trait associations across ancestries.

Published
2024
Full Text
View/download PDF

3. Multi-omics in nasal epithelium reveals three axes of dysregulation for asthma risk in the African Diaspora populations

Author

Brooke Szczesny, Meher Preethi Boorgula, Sameer Chavan, Monica Campbell, Randi K. Johnson, Kai Kammers, Emma E. Thompson, Madison S. Cox, Gautam Shankar, Corey Cox, Andréanne Morin, Wendy Lorizio, Michelle Daya, Samir N. P. Kelada, Terri H. Beaty, Ayo P. Doumatey, Alvaro A. Cruz, Harold Watson, Edward T. Naureckas, B. Louise Giles, Ganiyu A. Arinola, Olumide Sogaolu, Adegoke G. Falade, Nadia N. Hansel, Ivana V. Yang, Christopher O. Olopade, Charles N. Rotimi, R. Clive Landis, Camila A. Figueiredo, Matthew C. Altman, Eimear Kenny, Ingo Ruczinski, Andrew H. Liu, Carole Ober, Margaret A. Taub, Kathleen C. Barnes, and Rasika A. Mathias

Subjects
Science
Abstract

Abstract Asthma has striking disparities across ancestral groups, but the molecular underpinning of these differences is poorly understood and minimally studied. A goal of the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) is to understand multi-omic signatures of asthma focusing on populations of African ancestry. RNASeq and DNA methylation data are generated from nasal epithelium including cases (current asthma, N = 253) and controls (never-asthma, N = 283) from 7 different geographic sites to identify differentially expressed genes (DEGs) and gene networks. We identify 389 DEGs; the top DEG, FN1, was downregulated in cases (q = 3.26 × 10−9) and encodes fibronectin which plays a role in wound healing. The top three gene expression modules implicate networks related to immune response (CEACAM5; p = 9.62 × 10−16 and CPA3; p = 2.39 × 10−14) and wound healing (FN1; p = 7.63 × 10−9). Multi-omic analysis identifies FKBP5, a co-chaperone of glucocorticoid receptor signaling known to be involved in drug response in asthma, where the association between nasal epithelium gene expression is likely regulated by methylation and is associated with increased use of inhaled corticosteroids. This work reveals molecular dysregulation on three axes – increased Th2 inflammation, decreased capacity for wound healing, and impaired drug response – that may play a critical role in asthma within the African Diaspora.

Published
2024
Full Text
View/download PDF

4. Untargeted metabolomic profiling reveals molecular signatures associated with type 2 diabetes in Nigerians

Author

Ayo P. Doumatey, Daniel Shriner, Jie Zhou, Lin Lei, Guanjie Chen, Omolara Oluwasola-Taiwo, Susan Nkem, Adela Ogundeji, Sally N. Adebamowo, Amy R. Bentley, Mateus H. Gouveia, Karlijn A. C. Meeks, Clement A. Adebamowo, Adebowale A. Adeyemo, and Charles N. Rotimi

Subjects
Metabolomics, Type 2 diabetes, Africans, Biomarkers, Medicine, Genetics, QH426-470
Abstract

Abstract Background Type 2 diabetes (T2D) has reached epidemic proportions globally, including in Africa. However, molecular studies to understand the pathophysiology of T2D remain scarce outside Europe and North America. The aims of this study are to use an untargeted metabolomics approach to identify: (a) metabolites that are differentially expressed between individuals with and without T2D and (b) a metabolic signature associated with T2D in a population of Sub-Saharan Africa (SSA). Methods A total of 580 adult Nigerians from the Africa America Diabetes Mellitus (AADM) study were studied. The discovery study included 310 individuals (210 without T2D, 100 with T2D). Metabolites in plasma were assessed by reverse phase, ultra-performance liquid chromatography and mass spectrometry (RP)/UPLC-MS/MS methods on the Metabolon Platform. Welch’s two-sample t-test was used to identify differentially expressed metabolites (DEMs), followed by the construction of a biomarker panel using a random forest (RF) algorithm. The biomarker panel was evaluated in a replication sample of 270 individuals (110 without T2D and 160 with T2D) from the same study. Results Untargeted metabolomic analyses revealed 280 DEMs between individuals with and without T2D. The DEMs predominantly belonged to the lipid (51%, 142/280), amino acid (21%, 59/280), xenobiotics (13%, 35/280), carbohydrate (4%, 10/280) and nucleotide (4%, 10/280) super pathways. At the sub-pathway level, glycolysis, free fatty acid, bile metabolism, and branched chain amino acid catabolism were altered in T2D individuals. A 10-metabolite biomarker panel including glucose, gluconate, mannose, mannonate, 1,5-anhydroglucitol, fructose, fructosyl-lysine, 1-carboxylethylleucine, metformin, and methyl-glucopyranoside predicted T2D with an area under the curve (AUC) of 0.924 (95% CI: 0.845–0.966) and a predicted accuracy of 89.3%. The panel was validated with a similar AUC (0.935, 95% CI 0.906–0.958) in the replication cohort. The 10 metabolites in the biomarker panel correlated significantly with several T2D-related glycemic indices, including Hba1C, insulin resistance (HOMA-IR), and diabetes duration. Conclusions We demonstrate that metabolomic dysregulation associated with T2D in Nigerians affects multiple processes, including glycolysis, free fatty acid and bile metabolism, and branched chain amino acid catabolism. Our study replicated previous findings in other populations and identified a metabolic signature that could be used as a biomarker panel of T2D risk and glycemic control thus enhancing our knowledge of molecular pathophysiologic changes in T2D. The metabolomics dataset generated in this study represents an invaluable addition to publicly available multi-omics data on understudied African ancestry populations.

Published
2024
Full Text
View/download PDF

5. Mendelian randomization analyses suggest a causal role for circulating GIP and IL-1RA levels in homeostatic model assessment-derived measures of β-cell function and insulin sensitivity in Africans without type 2 diabetes

Author

Karlijn A. C. Meeks, Amy R. Bentley, Themistocles L. Assimes, Nora Franceschini, Adebowale A. Adeyemo, Charles N. Rotimi, and Ayo P. Doumatey

Subjects
Cytokines, Hormones, Type 2 diabetes, Sub-Saharan Africans, Mendelian randomization, Causal inference, Medicine, Genetics, QH426-470
Abstract

Abstract Background In vitro and in vivo studies have shown that certain cytokines and hormones may play a role in the development and progression of type 2 diabetes (T2D). However, studies on their role in T2D in humans are scarce. We evaluated associations between 11 circulating cytokines and hormones with T2D among a population of sub-Saharan Africans and tested for causal relationships using Mendelian randomization (MR) analyses. Methods We used logistic regression analysis adjusted for age, sex, body mass index, and recruitment country to regress levels of 11 cytokines and hormones (adipsin, leptin, visfatin, PAI-1, GIP, GLP-1, ghrelin, resistin, IL-6, IL-10, IL-1RA) on T2D among Ghanaians, Nigerians, and Kenyans from the Africa America Diabetes Mellitus study including 2276 individuals with T2D and 2790 non-T2D individuals. Similar linear regression models were fitted with homeostatic modelling assessments of insulin sensitivity (HOMA-S) and β-cell function (HOMA-B) as dependent variables among non-T2D individuals (n = 2790). We used 35 genetic variants previously associated with at least one of these 11 cytokines and hormones among non-T2D individuals as instrumental variables in univariable and multivariable MR analyses. Statistical significance was set at 0.0045 (0.05/11 cytokines and hormones). Results Circulating GIP and IL-1RA levels were associated with T2D. Nine of the 11 cytokines and hormones (exceptions GLP-1 and IL-6) were associated with HOMA-S, HOMA-B, or both among non-T2D individuals. Two-stage least squares MR analysis provided evidence for a causal effect of GIP and IL-RA on HOMA-S and HOMA-B in multivariable analyses (GIP ~ HOMA-S β = − 0.67, P-value = 1.88 × 10−6 and HOMA-B β = 0.59, P-value = 1.88 × 10−5; IL-1RA ~ HOMA-S β = − 0.51, P-value = 8.49 × 10−5 and HOMA-B β = 0.48, P-value = 5.71 × 10−4). IL-RA was partly mediated via BMI (30-34%), but GIP was not. Inverse variance weighted MR analysis provided evidence for a causal effect of adipsin on T2D (multivariable OR = 1.83, P-value = 9.79 × 10−6), though these associations were not consistent in all sensitivity analyses. Conclusions The findings of this comprehensive MR analysis indicate that circulating GIP and IL-1RA levels are causal for reduced insulin sensitivity and increased β-cell function. GIP’s effect being independent of BMI suggests that circulating levels of GIP could be a promising early biomarker for T2D risk. Our MR analyses do not provide conclusive evidence for a causal role of other circulating cytokines in T2D among sub-Saharan Africans.

Published
2023
Full Text
View/download PDF

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

Author

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

Subjects
Cholesterol, Lipids, Genetics, Genome-wide association study, GWAS, Biology (General), QH301-705.5, QH426-470
Abstract

Abstract Background Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. Results To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3–5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. Conclusions Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.

Published
2022
Full Text
View/download PDF

7. Mendelian randomization study reveals a causal relationship between adiponectin and LDL cholesterol in Africans

Author

Karlijn A. C. Meeks, Amy R. Bentley, Ayo P. Doumatey, Adebowale A. Adeyemo, and Charles N. Rotimi

Subjects
Medicine, Science
Abstract

Abstract Adiponectin has been associated with cardiometabolic traits in observational studies across populations, yet it is unclear if these associations are causal. We performed Mendelian randomization (MR) analysis to assess the relationship between adiponectin and cardiometabolic traits in sub-Saharan Africans. We constructed a polygenic risk score (PRS) for adiponectin levels across 3354 unrelated sub-Saharan Africans. The PRS was used as the instrumental variable in two-stage least-squares MR analysis to assess its association with insulin resistance, HDL, LDL, total cholesterol, triglycerides, blood pressure, Type 2 Diabetes (T2D), and hypertension. The adiponectin PRS was causally related with LDL (β = 0.55, 95%CI 0.07–1.04, P-value = 0.024) but not the other traits. This association was observed in both overweight/obese and normal weight individuals, but only reached statistical significance among overweight/obese individuals (β = 0.55, 95%CI 0.01–1.08, P-value = 0.045). In normal weight individuals, the adiponectin PRS was associated with T2D (OR = 0.13, 95%CI 0.02–0.73, P-value = 0.021), and in men with HDL (β = 1.03, 95%CI 0.14–1.92, P-value = 0.023). The findings of this first MR study in sub-Saharan Africans support a causal relationship of adiponectin with LDL, with T2D in normal weight individuals only, and with HDL in men only. These observations add to the small but growing literature on adiponectin MR studies.

Published
2022
Full Text
View/download PDF

8. Universal genome-wide association studies: Powerful joint ancestry and association testing

Author

Daniel Shriner, Amy R. Bentley, Mateus H. Gouveia, Elisabeth F. Heuston, Ayo P. Doumatey, Guanjie Chen, Jie Zhou, Adebowale Adeyemo, and Charles N. Rotimi

Subjects
Genetics, QH426-470
Abstract

Summary: The vast majority of human populations and individuals have mixed ancestry. Consequently, adjustment for locus-specific ancestry is essential for genetic association studies. To empower association studies for all populations, it is necessary to integrate effects of locus-specific ancestry and genotype. We developed a joint test of ancestry and association that can be performed with summary statistics, is independent of study design, can take advantage of locus-specific ancestry effects to boost power in association testing, and can utilize association effects to fine map admixture peaks. We illustrate the test using the association between serum triglycerides and LPL. By combining data from African Americans, European Americans, and West Africans, we identify three conditionally independent variants with varying amounts of ancestrally differentiated allele frequencies. Using out-of-sample data, we demonstrate improved prediction achievable by accounting for multiple causal variants and locus-specific ancestry effects at a single locus.

Published
2023
Full Text
View/download PDF

9. Ancestral and environmental patterns in the association between triglycerides and other cardiometabolic risk factorsResearch in context

Author

Karlijn A.C. Meeks, Amy R. Bentley, Charles Agyemang, Henrike Galenkamp, Bert-Jan H. van den Born, Nordin M.J. Hanssen, Ayo P. Doumatey, Adebowale A. Adeyemo, and Charles N. Rotimi

Subjects
Triglycerides, African, European, Ancestry, Environment, Medicine, Medicine (General), R5-920
Abstract

Summary: Background: West Africans and African Americans with substantial (∼80%) West African ancestry are characterized by low levels of triglycerides (TG) compared to East Africans and Europeans. The impact of these varying TG levels on other cardiometabolic risk factors is unclear. We compared the strength of association between TG with hypertension, blood pressure, BMI, waist circumference, type 2 diabetes (T2D), and fasting glucose across West African (WA), East African (EA), and European (EU) ancestry populations residing in three vastly different environmental settings: sub-Saharan Africa, United States, and Europe. Methods: We analysed data from four cross-sectional studies that included WA in sub-Saharan Africa (n = 7201), the U.S. (n = 4390), and Europe (n = 6436), EA in sub-Saharan Africa (n = 781), and EU in the U.S. (n = 8670) and Europe (n = 4541). Linear regression analyses were used to test the association between TG and cardiometabolic risk factors. Findings: Higher adjusted regression coefficients were observed in EU compared with WA ancestry for TG on hypertension (EU β [95% CI]: 0.179 [0.156, 0.203], WA β [95% CI]: 0.102 [0.086, 0.118]), BMI (EU β [95% CI]: 0.028 [0.027, 0.030], WA β [95% CI]: 0.015 [0.014, 0.016]), and waist circumference (EU β [95% CI]: 0.013 [0.013, 0.014], WA β [95% CI]: 0.009 [0.008, 0.009) (all ancestry × trait interaction P-values

Published
2023
Full Text
View/download PDF

10. Genome-wide analyses of multiple obesity-related cytokines and hormones informs biology of cardiometabolic traits

Author

Karlijn A. C. Meeks, Amy R. Bentley, Mateus H. Gouveia, Guanjie Chen, Jie Zhou, Lin Lei, Adebowale A. Adeyemo, Ayo P. Doumatey, and Charles N. Rotimi

Subjects
Adipocytokines, Obesity, Cardiometabolic traits, GWAS, Africans, Medicine, Genetics, QH426-470
Abstract

Abstract Background A complex set of perturbations occur in cytokines and hormones in the etiopathogenesis of obesity and related cardiometabolic conditions such as type 2 diabetes (T2D). Evidence for the genetic regulation of these cytokines and hormones is limited, particularly in African-ancestry populations. In order to improve our understanding of the biology of cardiometabolic traits, we investigated the genetic architecture of a large panel of obesity- related cytokines and hormones among Africans with replication analyses in African Americans. Methods We performed genome-wide association studies (GWAS) in 4432 continental Africans, enrolled from Ghana, Kenya, and Nigeria as part of the Africa America Diabetes Mellitus (AADM) study, for 13 obesity-related cytokines and hormones, including adipsin, glucose-dependent insulinotropic peptide (GIP), glucagon-like peptide-1 (GLP-1), interleukin-1 receptor antagonist (IL1-RA), interleukin-6 (IL-6), interleukin-10 (IL-10), leptin, plasminogen activator inhibitor-1 (PAI-1), resistin, visfatin, insulin, glucagon, and ghrelin. Exact and local replication analyses were conducted in African Americans (n = 7990). The effects of sex, body mass index (BMI), and T2D on results were investigated through stratified analyses. Results GWAS identified 39 significant (P value

Published
2021
Full Text
View/download PDF

11. A UGT1A1 variant is associated with serum total bilirubin levels, which are causal for hypertension in African-ancestry individuals

Author

Guanjie Chen, Adebowale Adeyemo, Jie Zhou, Ayo P. Doumatey, Amy R. Bentley, Kenneth Ekoru, Daniel Shriner, and Charles N. Rotimi

Subjects
Medicine, Genetics, QH426-470
Abstract

Abstract Serum bilirubin is associated with several clinical outcomes, including hypertension, type 2 diabetes (T2D), and drug metabolism. Here, we describe findings from our genome-wide association studies (GWAS) of serum (TBIL) using a generalized linear mixed model in West Africans (n = 1127), with adjustment for age, sex, body mass index, T2D, significant principal components of population structure, and cryptic relatedness. Genome-wide conditional analysis and CAVIARBF were used to fine map significant loci. The causal effect of TBIL on hypertension was assessed by Mendelian randomization (MR) using the GWAS findings as instrumental variables (IVs) in African Americans (n = 3,067). The SNP rs887829 (UGT1A1) was significantly associated with TBIL levels (effect allele (T) frequency = 0.49, β (SE) = 0.59 (0.04), p = 9.13 × 10−54). Genome-wide conditional analysis and regional fine mapping pointed to rs887829 as a possible causal variant with a posterior inclusion probability of 0.99. The T allele of rs887829 is associated with lower hepatic expression of UGT1A1. Using rs887829 as an IV, two-stage least-squares MR showed a causal effect of bilirubin on hypertension (β = −0.76, 95% CI [−1.52, −0.01], p = 0.0459). Our finding confirms that UGT1A1 influences bilirubin levels. Notably, lower TBIL is causally associated with the increased risk of hypertension.

Published
2021
Full Text
View/download PDF

12. Additive genetic effect of GCKR, G6PC2, and SLC30A8 variants on fasting glucose levels and risk of type 2 diabetes

Author

Guanjie Chen, Daniel Shriner, Jianhua Zhang, Jie Zhou, Poorni Adikaram, Ayo P. Doumatey, Amy R. Bentley, Adebowale Adeyemo, and Charles N. Rotimi

Subjects
Medicine, Science
Abstract

Impaired glucose tolerance is a major risk factor for type 2 diabetes (T2D) and several cardiometabolic disorders. To identify genetic loci underlying fasting glucose levels, we conducted an analysis of 9,232 individuals of European ancestry who at enrollment were either nondiabetic or had untreated type 2 diabetes. Multivariable linear mixed models were used to test for associations between fasting glucose and 7.9 million SNPs, with adjustment for age, body mass index (BMI), sex, significant principal components of the genotypes, and cryptic relatedness. Three previously discovered loci were genome-wide significant, with the lead SNPs being rs1260326, a missense variant in GCKR (p = 1.06×10−8); rs560887, an intronic variant in G6PC2 (p = 3.39×10−11); and rs13266634, a missense variant in SLC30A8 (p = 4.28×10−10). Fine mapping, genome-wide conditional analysis, and functional annotation indicated that the three loci were independently associated with fasting glucose. Each copy of an alternate allele at any of these three SNPs was associated with a reduction of 0.012 mmol/L in fasting glucose levels (p = 8.0×10−28), and this association was replicated in trans-ethnic analysis of 14,303 individuals (p = 2.2×10−16). The three SNPs were jointly associated with significantly reduced T2D risk, with an odds ratio (95% CI) of 0.93 (0.88, 0.98) per protective allele. Our findings implicate additive effects across pathophysiological pathways involved in type 2 diabetes, including glycolysis, gluconeogenesis, and insulin secretion. Since none of the individuals homozygous for the alternate alleles at all three loci has T2D, it might be possible to use a genetic predictor of fasting glucose levels to identify individuals at low vs. high risk of developing type 2 diabetes.

Published
2022

13. ZRANB3 is an African-specific type 2 diabetes locus associated with beta-cell mass and insulin response

Author

Adebowale A. Adeyemo, Norann A. Zaghloul, Guanjie Chen, Ayo P. Doumatey, Carmen C. Leitch, Timothy L. Hostelley, Jessica E. Nesmith, Jie Zhou, Amy R. Bentley, Daniel Shriner, Olufemi Fasanmade, Godfrey Okafor, Benjamin Eghan, Kofi Agyenim-Boateng, Settara Chandrasekharappa, Jokotade Adeleye, William Balogun, Samuel Owusu, Albert Amoah, Joseph Acheampong, Thomas Johnson, Johnnie Oli, Clement Adebamowo, South Africa Zulu Type 2 Diabetes Case-Control Study, Francis Collins, Georgia Dunston, and Charles N. Rotimi

Subjects
Science
Abstract

Type 2 diabetes (T2D) is prevalent in populations worldwide, however, mostly studied in European and mixed-ancestry populations. Here, the authors perform a genome-wide association study for T2D in over 5,000 sub-Saharan Africans and identify a locus, ZRANB3, that is specific for this population.

Published
2019
Full Text
View/download PDF

14. Gut Microbiome Profiles Are Associated With Type 2 Diabetes in Urban Africans

Author

Ayo P. Doumatey, Adebowale Adeyemo, Jie Zhou, Lin Lei, Sally N. Adebamowo, Clement Adebamowo, and Charles N. Rotimi

Subjects
gut microbiome, type 2 diabetes, urban Africans, 16S V4 rRNA sequencing, microbial composition, Microbiology, QR1-502
Abstract

Gut dysbiosis has been associated with several disease outcomes including diabetes in human populations. Currently, there are no studies of the gut microbiome composition in relation to type 2 diabetes (T2D) in Africans. Here, we describe the profile of the gut microbiome in non-diabetic adults (controls) and investigate the association between gut microbiota and T2D in urban West Africans. Gut microbiota composition was determined in 291 Nigerians (98 cases, 193 controls) using fecal 16S V4 rRNA gene sequencing done on the Illumina MiSeq platform. Data analysis of operational taxonomic units (OTU) was conducted to describe microbiome composition and identify differences between T2D and controls. The most abundant phyla were Firmicutes, Actinobacteria, and Bacteroidetes. Clostridiaceae, and Peptostreptococcaceaea were significantly lower in cases than controls (p < 0.001). Feature selection analysis identified a panel of 18 OTUs enriched in cases that included Desulfovibrio piger, Prevotella, Peptostreptococcus, and Eubacterium. A panel of 17 OTUs that was enriched in the controls included Collinsella, Ruminococcus lactaris, Anaerostipes, and Clostridium. OTUs with strain-level annotation showing the largest fold-change included Cellulosilyticum ruminicola (log2FC = −3.1; p = 4.2 × 10−5), Clostridium paraputrificum (log2FC = −2.5; p = 0.005), and Clostridium butyricum (log2FC = −1.76; p = 0.01), all lower in cases. These findings are notable because supplementation with Clostridium butyricum and Desulfovibrio piger has been shown to improve hyperglycemia and reduce insulin resistance in murine models. This first investigation of gut microbiome and diabetes in urban Africans shows that T2D is associated with compositional changes in gut microbiota highlighting the possibility of developing strategies to improve glucose control by modifying bacterial composition in the gut.

Published
2020
Full Text
View/download PDF

15. Variation in APOL1 Contributes to Ancestry-Level Differences in HDLc-Kidney Function Association

Author

Amy Rebecca Bentley, Ayo P. Doumatey, Guanjie Chen, Hanxia Huang, Jie Zhou, Daniel Shriner, CongQing Jiang, Zhenjian Zhang, Guozheng Liu, Olufemi Fasanmade, Thomas Johnson, Johnnie Oli, Godfrey Okafor, Benjamin A. Eghan, Kofi Agyenim-Boateng, Jokotade Adeleye, Williams Balogun, Clement Adebamowo, Albert Amoah, Joseph Acheampong, Adebowale Adeyemo, and Charles N. Rotimi

Subjects
Diseases of the genitourinary system. Urology, RC870-923
Abstract

Low levels of high-density cholesterol (HDLc) accompany chronic kidney disease, but the association between HDLc and the estimated glomerular filtration rate (eGFR) in the general population is unclear. We investigated the HDLc-eGFR association in nondiabetic Han Chinese (HC, n=1100), West Africans (WA, n=1497), and African Americans (AA, n=1539). There were significant differences by ancestry: HDLc was positively associated with eGFR in HC (β=0.13, P

Published
2012
Full Text
View/download PDF

16. Type 2 diabetes complications and comorbidity in Sub-Saharan Africans

Author

Georgia M. Dunston, Johnnie Oli, Thomas Johnson, Ayo P. Doumatey, Clement Adebamowo, Albert G.B. Amoah, Charles N. Rotimi, Francis S. Collins, Guanjie Chen, Joseph Acheampong, Jie Zhou, Kenneth Ekoru, Amy R. Bentley, Godfrey Okafor, Williams Balogun, Benjamin A. Eghan, Olufemi Fasanmade, Jokotade Adeleye, Kofi Agyenim-Boateng, Adebowale Adeyemo, and Daniel Shriner

Subjects
medicine.medical_specialty, Complications, Epidemiology, Co-morbidity, Type 2 diabetes, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, Diabetes mellitus, Internal medicine, 0502 economics and business, Health care, Global health, medicine, 030212 general & internal medicine, 050207 economics, 0101 mathematics, 2. Zero hunger, lcsh:R5-920, 050208 finance, business.industry, Public health, 05 social sciences, 010102 general mathematics, General Medicine, Diabetic retinopathy, Institutional review board, 16. Peace & justice, medicine.disease, Obesity, Comorbidity, 3. Good health, Type 2 Diabetes, Sub-Sahara Africa, Emergency medicine, lcsh:Medicine (General), business, Body mass index, Research Paper
Abstract

Background: Context-specific evidence of the spectrum of type 2 diabetes (T2D) burden is essential for setting priorities and designing interventions to reduce associated morbidity and mortality. However, there are currently limited data on the burden of T2D complications and comorbidity in sub-Saharan Africa (SSA). Here, we aimed to estimate the burden and risk factors for T2D complications and comorbidity in a large sample of sub-Saharan Africans. Methods: Using a standardized protocol, we documented and estimated the burden of T2D complications and comorbidities in 2,784 diabetes participants enrolled from tertiary health centers from Nigeria, Ghana and Kenya. T2D complications and comorbidities evaluated by study physicians and clinic staffs included cardiometabolic, ocular, neurological and renal characteristics. Using the same protocol, we contextualized the burden of these complications and comorbidities by evaluating them in a sample of 3,209 individuals without diabetes enrolled from the catchment communities where the cases originated. Logistic regression models were used to identify risk factors and to adjust estimates of risk. Results: The mean age of T2D participants was 56 (SD 11) years with a median duration of diabetes of 5 (interquartile range 2-10) years. The notable complications/comorbidities observed in this sample of T2D participants included hypertension (71%; 95% CI 69-73), obesity 27% (25-29) and hyperlipidemia 34% (32-36). Diabetic retinopathy was found in 15% (13-17) and cataracts in 32% (30-35). About 13% (12-15) had impaired renal function as assessed by eGFR, representing 1 in 8 participants. Erectile dysfunction was a complication in 35% (32-38) of men. Age, duration of T2D and body mass index were significant risk factors for most complications/comorbidities. Population-attributable fraction ranged between 6 and 64 percent for most comorbidities. Conclusion: We observed a substantial burden of diabetes complications and comorbidity in this sample of T2D participants from SSA. Given the reported association of these complications with increased burden of T2D morbidity and mortality we call for public health strategies that prioritise early detection, the maintenance of healthy blood pressure, weight and lipid levels, as well as strengthen health care system capacities to provide treatment and care for neurological and ophthalmological complications of diabetes. Funding Statement: The study was supported in part 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 (NHGRI), the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), the Center for Information Technology, and the Office of the Director at the National Institutes of Health (1ZIAHG200362). Support for participant recruitment and initial genetic studies of the AADM study was provided by NIH grant No. 3T37TW00041-03S2 from the Office of Research on Minority Health. Declaration of Interests: The authors declare no competing interests. Ethics Approval Statement: The study received ethical approval from the Institutional Review Board at each study site, Howard University and the United States National Institutes of Health.

Published
2019

17. Time-to-Event Modeling of Hypertension Reveals the Nonexistence of True Controls

Author

Kenneth Ekoru, Charles N. Rotimi, Guanjie Chen, Ayo P. Doumatey, Amy R. Bentley, Adebowale Adeyemo, Daniel Shriner, and Jie Zhou

Subjects
Male, Event modeling, Ethnic group, 030204 cardiovascular system & hematology, Logistic regression, 0302 clinical medicine, Mexican Americans, Epidemiology, time-to-event, 030212 general & internal medicine, Age of Onset, Biology (General), Aged, 80 and over, education.field_of_study, General Neuroscience, Age Factors, General Medicine, Middle Aged, Explained variation, Health equity, Medicine, Female, health disparity, Research Article, Human, Adult, medicine.medical_specialty, hypertension, QH301-705.5, Science, Population, Mexican americans, Models, Biological, Risk Assessment, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, medicine, Humans, education, Aged, Models, Statistical, General Immunology and Microbiology, Proportional hazards model, business.industry, Bayes Theorem, Black or African American, Epidemiology and Global Health, Logistic Models, Case-Control Studies, Lifetime risk, Age of onset, business, Demography
Abstract

Given a lifetime risk of ~90% by the ninth decade of life, it is unknown if there are true controls for hypertension in epidemiological and genetic studies. Here, we use the Bayesian framework to compare logistic and time-to-event approaches to modeling hypertension. Using a proportional hazards model, we explored nonparametric and parametric models of the baseline hazard function, accounting for interval censoring. In the Howard University Family Study (HUFS), a population-based study of African Americans from Washington, D.C., the median age at hypertension was 48 years, baseline hazard rates increased with age until 55 years, and the probability of being free of hypertension at 85 years of age was 12.2%. In the nationwide NHANES study, the median age at hypertension was 42 years in African Americans, in contrast to 57 years in European Americans and 56 years in Mexican Americans. Baseline hazard rates increased with age until 58 years in African Americans, comparable to 60 years in European Americans and 58 years in Mexican Americans. The probability of being free of hypertension at 85 years of age was 8.4% in African Americans, in contrast to 21.4% in European Americans and 20.6% in Mexican Americans. In all four groups, baseline hazard rates decreased but did not reach zero, consistent with the nonexistence of controls. Model fits were comparable for a proportional hazards model based on gamma-distributed hazard rates under a correlated prior process and a logistic model adjusted for age and age2. Last, using an agnostic model screening approach of 38 potential covariates, we identified and replicated in all groups a model that included chloride, low-density lipoprotein cholesterol, uric acid, and weight. With age and age2, the variance explained by these covariates was 40.9% in African Americans, 34.8% in European Americans, and 28.3% in Mexican Americans. Taken together, modeling of the baseline hazard function of hypertension suggests that there are no true controls and that controls in logistic regression are cases with a late age of onset. These findings shed considerable insights into the design of genetic and epidemiological studies of hypertension with implications for ethnic health disparities.

Published
2020
Full Text
View/download PDF

18. Circulating MiR-374a-5p is a potential modulator of the inflammatory process in obesity

Author

Jie Zhou, Charles N. Rotimi, Adebowale Adeyemo, Amadou Gaye, Gary H. Gibbons, Ayo P. Doumatey, Lin Lei, and William J. He

Subjects
0301 basic medicine, Adult, Male, medicine.medical_specialty, lcsh:Medicine, Inflammation, Cell Cycle Proteins, Biology, Article, Cohort Studies, 03 medical and health sciences, Young Adult, Insulin resistance, Downregulation and upregulation, Internal medicine, microRNA, medicine, Humans, Obesity, lcsh:Science, Transcription factor, Chemokine CCL2, Aged, Regulation of gene expression, Homeodomain Proteins, Oncogene Proteins, Multidisciplinary, lcsh:R, Lipid metabolism, Middle Aged, medicine.disease, Phenotype, MicroRNAs, 030104 developmental biology, Endocrinology, Gene Expression Regulation, Female, lcsh:Q, medicine.symptom, Insulin Resistance, Oxidoreductases, Biomarkers, Signal Transduction
Abstract

Obese individuals without expected metabolic co-morbidities are referred to as metabolically healthy obese (MHO). The molecular mechanisms underlying this phenotype remain elusive. MicroRNAs may be involved in the MHO phenotype. To test this hypothesis, we screened 179 serum miRNAs in 20 African-American women (10 MHOs and 10 metabolically abnormal obese individuals -MAO). We identified 8 differentially expressed miRNAs (DEMs) with validation in an independent sample of 64 MHO and 34 MAO. Of the eight DEMs in the screening phase (p ≤ 0.05), miR-374a-5p remained significant (p = 0.04) with directional consistency in the validation sample. Ingenuity Pathway analysis revealed that miR-374a-5p putatively targeted 37 mRNAs (e.g. chemokines and transcription factors) which are members of canonical pathways involved in inflammation (IL-17A signaling) and lipid metabolism. Analysis restricted to adipocytes, the main source of circulating miRNAs in obesity, identified 3 mRNAs (CCL2, STEAP2, EN1) as the main target of miR-374a-5p. Evaluation of the 3 mRNAs in an independent sample showed that CCL2 was significantly downregulated (p = 0.0005). In summary, MiR-374a-5p is upregulated in MHO compared to MAO individuals and appears to show association with downregulation of pro-inflammatory markers that are linked to insulin resistance. Given the correlative nature of our findings, functional studies are needed.

Published
2018
Full Text
View/download PDF

19. Uganda Genome Resource Enables Insights into Population History and Genomic Discovery in Africa

Author

Mary D Fortune, Fraser J. Pirie, Li Chen, Nicole Soranzo, Gershim Asiki, Eleftheria Zeggini, M. S. Sandhu, Martin O. Pollard, Konstantinos Hatzikotoulas, Louise V. Wain, David Neil Cooper, Deepti Gurdasani, Charles Kooperberg, Alexander P. Reiner, Ayesha A. Motala, Segun Fatumo, Yali Xue, Marianne K. DeGorter, Elizabeth H. Young, Iain Mathieson, David Heckerman, Federico Abascal, Javier Prado-Martinez, Dermot Maher, Stephen B. Montgomery, Guanjie Chen, Stephen Schiffels, Heather Elding, Chris Widmer, Tommy Carstensen, Pontiano Kaleebu, Janet Seeley, Charles N. Rotimi, Ioanna Tachmazidou, Carl M. Kadie, Yuan Chen, Inês Barroso, Anders Bergström, Kenneth Ekoru, Rebecca N Nsubuga, Anatoli Kamali, Graham R. S. Ritchie, Ayo P. Doumatey, Cristina Pomilla, Chris Finan, Chris S Franklin, Andrew P. Morris, Georg Ehret, Adebowale Adeyemo, Eleanor Wheeler, Marc Haber, Erik Garrison, Chris Tyler-Smith, Nora Franceschini, Heleen J. Bouman, Paul L. Auer, Alexander J. Mentzer, Wheeler, Eleanor [0000-0002-8616-6444], Fortune, Mary [0000-0002-6006-4343], Soranzo, Nicole [0000-0003-1095-3852], Barroso, Ines [0000-0001-5800-4520], Sandhu, Manjinder [0000-0002-2725-142X], and Apollo - University of Cambridge Repository

Subjects
Male, Population, Black People, Genomics, Genome-wide association study, Biology, Genome, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, Gene Frequency, Humans, Genetic Predisposition to Disease, Uganda, education, 030304 developmental biology, ddc:616, 0303 health sciences, education.field_of_study, Whole Genome Sequencing, Genome, Human, Heritability, Human genetics, Evolutionary biology, Trait, Female, 030217 neurology & neurosurgery, Imputation (genetics), Genome-Wide Association Study
Abstract

Genomic studies in African populations provide unique opportunities to understand disease etiology, human diversity, and population history. In the largest study of its kind, comprising genome-wide data from 6,400 individuals and whole-genome sequences from 1,978 individuals from rural Uganda, we find evidence of geographically correlated fine-scale population substructure. Historically, the ancestry of modern Ugandans was best represented by a mixture of ancient East African pastoralists. We demonstrate the value of the largest sequence panel from Africa to date as an imputation resource. Examining 34 cardiometabolic traits, we show systematic differences in trait heritability between European and African populations, probably reflecting the differential impact of genes and environment. In a multi-trait pan-African GWAS of up to 14,126 individuals, we identify novel loci associated with anthropometric, hematological, lipid, and glycemic traits. We find that several functionally important signals are driven by Africa-specific variants, highlighting the value of studying diverse populations across the region.

Published
2019
Full Text
View/download PDF

20. 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

21. Proinflammatory and lipid biomarkers mediate metabolically healthy obesity: A proteomics study

Author

Jie Zhou, DaRue Prieto, Adebowale Adeyemo, Ayo P. Doumatey, Ming Zhou, and Charles N. Rotimi

Subjects
0301 basic medicine, Adult, Male, Proteomics, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Medicine (miscellaneous), 030209 endocrinology & metabolism, Inflammation, Proinflammatory cytokine, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Internal medicine, Metabolically healthy obesity, medicine, Humans, Obesity, Shotgun proteomics, Liver X receptor, Homocysteine, 2. Zero hunger, Obesity, Metabolically Benign, Nutrition and Dietetics, business.industry, Acute-phase protein, Original Articles, Middle Aged, Blood proteins, Lipids, 3. Good health, Black or African American, 030104 developmental biology, Phenotype, Case-Control Studies, Immunology, Apolipoprotein B-100, Original Article, Obesity Biology and Integrated Physiology, Female, medicine.symptom, business, Biomarkers
Abstract

Objective The metabolically healthy obesity (MHO) phenotype is an important obesity subtype in which obesity is not accompanied by any metabolic comorbidity. However, the underlying molecular mechanisms remain elusive. In this study, a shotgun proteomics approach to identify circulating biomolecules and pathways associated with MHO was used. Methods The subjects were 20 African-American women: 10 MHO cases and 10 metabolically abnormal individuals with obesity (MAO) controls. Serum proteins were detected and quantified using label-free proteomics. Differential expression of proteins between the two groups was analyzed, and the list of differentially expressed proteins was analyzed to determine enriched biological pathways. Results Twenty proteins were differentially expressed between MHO and controls. These proteins included: hemoglobin subunits (HBA1, P = 6.00 × 10−18), haptoglobin-related protein (HPR, P = 1.2 × 10−15), apolipoproteins (APOB-100, P = 1.50 × 10−40; APOA4, P = 1.1 × 10−14), retinol-binding protein 4 (RBP4, P = 7.1 × 10−08), and CRP (P = 2.0 × 10−04). MHO was associated with lower levels of proinflammatory and higher levels of anti-inflammatory biomarkers when compared with MAO. Pathway analysis showed enrichment of lipids and inflammatory pathways, including LXR/RXR and FXR/RXR activation, and acute phase response signaling. Conclusions These findings suggested that protection from dysregulated inflammatory and lipid processes were primary molecular hallmarks of MHO. The candidate biomarkers (AHSG, RBP4, and APOA4) identified in this study are potential prognostic markers for MHO.

Published
2016

22. Common and rare exonic MUC5B variants associated with type 2 diabetes in Han Chinese

Author

Sally N. Adebamowo, Guozheng Liu, Yanxun Zhou, Charles N. Rotimi, Amy R. Bentley, Ayo P. Doumatey, Chuntao Wang, Wenqiang Yan, Daniel Shriner, Adebowale Adeyemo, Zhenjian Zhang, Guanjie Chen, Congqing Jiang, Fasil Tekola-Ayele, and Jie Zhou

Subjects
0301 basic medicine, Male, Candidate gene, Heredity, endocrine system diseases, lcsh:Medicine, Genome-wide association study, Geographical Locations, 0302 clinical medicine, Endocrinology, Medicine and Health Sciences, Ethnicities, lcsh:Science, Exome, Genetics, Multidisciplinary, Han Chinese, Genomics, Exons, Population groupings, Middle Aged, Mucin-5B, Genetic Mapping, Female, Research Article, Adult, China, Genotyping, Asia, Genotype, Endocrine Disorders, Single-nucleotide polymorphism, Biology, Genome Complexity, Research and Analysis Methods, Polymorphism, Single Nucleotide, 03 medical and health sciences, Asian People, Diabetes Mellitus, Genome-Wide Association Studies, Humans, Genetic Predisposition to Disease, Allele, Molecular Biology Techniques, Molecular Biology, Pancreas, Alleles, Genetic association, Aged, lcsh:R, Haplotype, nutritional and metabolic diseases, Biology and Life Sciences, Computational Biology, Human Genetics, Genome Analysis, Introns, 030104 developmental biology, Haplotypes, Diabetes Mellitus, Type 2, Genetic Loci, Metabolic Disorders, People and Places, lcsh:Q, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Genome-wide association studies have identified over one hundred common genetic risk variants associated with type 2 diabetes (T2D). However, most of the heritability of T2D has not been accounted for. In this study, we investigated the contribution of rare and common variants to T2D susceptibility by analyzing exome array data in 1,908 Han Chinese genotyped with Affymetrix Axiom® Exome Genotyping Arrays. Based on the joint common and rare variants analysis of 57,704 autosomal SNPs within 12,244 genes using Sequence Kernel Association Tests (SKAT), we identified significant associations between T2D and 25 variants (9 rare and 16 common) in MUC5B, p-value 1.01×10-14. This finding was replicated (p = 0.0463) in an independent sample that included 10,401 unrelated individuals. Sixty-six of 1,553 possible haplotypes based on 25 SNPs within MUC5B showed significant association with T2D (Bonferroni corrected p values < 3.2×10-5). The expression level of MUC5B is significantly higher in pancreatic tissues of persons with T2D compared to those without T2D (p-value = 5×10-5). Our findings suggest that dysregulated MUC5B expression may be involved in the pathogenesis of T2D. As a strong candidate gene for T2D, MUC5B may play an important role in the mechanisms underlying T2D etiology and its complications.

Published
2017

23. African Ancestry Gradient Is Associated with Lower Systemic F2-Isoprostane Levels

Author

Dora Il'yasova, Michael Goodman, Ayo P. Doumatey, Ike S. Okosun, Bharat Thyagarajan, Francis B. Annor, and Barbara A. Gower

Subjects
Obesity prevention, Aging, Article Subject, business.industry, Cross-sectional study, lcsh:Cytology, Outcome measures, 030209 endocrinology & metabolism, Context (language use), Cell Biology, General Medicine, 030204 cardiovascular system & hematology, medicine.disease, Biochemistry, Obesity, F2-Isoprostane, 03 medical and health sciences, 0302 clinical medicine, Diabetes mellitus, medicine, medicine.symptom, lcsh:QH573-671, business, Weight gain, Demography
Abstract

Context. Low levels of systemic F2-isoprostanes (F2-IsoP) increase the risk of diabetes and weight gain and were found in African Americans. Low F2-IsoPs could reflect an unfavorable metabolic characteristic, namely, slow mitochondrial metabolism in individuals with African ancestry.Objective. To examine differences in plasma F2-IsoPs in three groups with a priori different proportion of African ancestry: non-Hispanic Whites (NHWs), US-born African Americans (AAs), and West African immigrants (WAI).Design. Cross-sectional study.Setting. Georgia residents recruited from church communities.Participants. 218 males and females 25–74 years of age, who are self-identified as NHW (n=83), AA (n=56), or WAI (n=79).Main Outcome Measure(s). Plasma F2-IsoPs quantified by gas chromatography-mass spectrometry.Results. After adjustment for age, gender, obesity, and other comorbidities, WAI had lower levels of plasma F2-IsoP than AA (beta-coefficient = −9.8,p<0.001) and AA had lower levels than NHW (beta-coefficient = −30.3,p<0.001). Similarly, among healthy nonobese participants, F2-IsoP levels were lowest among WAI, followed by AA, and the highest levels were among NHW.Conclusion. Plasma F2-IsoPs are inversely associated with African ancestry gradient. Additional studies are required to test whether optimization of systemic F2-IsoP levels can serve as means to improve race-specific lifestyle and pharmacological intervention targeted to obesity prevention and treatment.

Published
2017

24. FTO Genetic Variation and Association With Obesity in West Africans and African Americans

Author

Ayo P. Doumatey, Daniel Shriner, Guanjie Chen, Adebowale Adeyemo, Hanxia Huang, Charles N. Rotimi, and Jie Zhou

Subjects
Male, Linkage disequilibrium, Endocrinology, Diabetes and Metabolism, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, 030209 endocrinology & metabolism, Single-nucleotide polymorphism, Biology, FTO gene, Linkage Disequilibrium, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Gene Frequency, Genetic variation, Internal Medicine, medicine, Genetics, Humans, Obesity, Allele, Allele frequency, Africa South of the Sahara, 030304 developmental biology, 0303 health sciences, Brief Report, Genetic Variation, Proteins, Middle Aged, medicine.disease, Black or African American, Africa, Western, Adipose Tissue, Female
Abstract

OBJECTIVE The FTO gene is one of the most consistently replicated loci for obesity. However, data from populations of African ancestry are limited. We evaluated genetic variation in the FTO gene and investigated associations with obesity in West Africans and African Americans. RESEARCH DESIGN AND METHODS The study samples comprised 968 African Americans (59% female, mean age 49 years, mean BMI 30.8 kg/m2) and 517 West Africans (58% female, mean age 54 years, mean BMI 25.5 kg/m2). FTO genetic variation was evaluated by genotyping 262 tag single nucleotide polymorphisms (SNPs) across the entire gene. Association of each SNP with BMI, waist circumference, and percent fat mass was investigated under an additive model. RESULTS As expected, both African-ancestry samples showed weaker linkage disequilibrium (LD) patterns compared with other continental (e.g., European) populations. Several intron 8 SNPs, in addition to intron 1 SNPs, showed significant associations in both study samples. The combined effect size for BMI for the top SNPs from meta-analysis was 0.77 kg/m2 (P = 0.009, rs9932411) and 0.70 kg/m2 (P = 0.006, rs7191513). Two previously reported associations with intron 1 SNPs (rs1121980 and rs7204609, r2 = 0.001) were replicated among the West Africans. CONCLUSIONS The FTO gene shows significant differences in allele frequency and LD patterns in populations of African ancestry compared with other continental populations. Despite these differences, we observed evidence of associations with obesity in African Americans and West Africans, as well as evidence of heterogeneity in association. More studies of FTO in multiple ethnic groups are needed.

Published
2010

25. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Author

Peter Kovacs, Alan F. Wright, Stephen Turner, Michèle M. Sale, Siim Sõber, Janoš Terzić, Elin Org, Richard S. Cooper, Alena Stančáková, Jerome I. Rotter, W. H. Linda Kao, Albert Hofman, Andrew B. Singleton, Florian Kronenberg, Jianjun Liu, Nicole L. Glazer, Christopher W. Knouff, Jennifer L. Bragg-Gresham, Juha Karjalainen, Li Ching Chang, Benjamin J. Wright, Jacqueline C.M. Witteman, Martin G. Larson, Klaus Stark, Richard J. Rodeheffer, Sharon L.R. Kardia, Douglas M. Ruderfer, Sheila Ulivi, Madhumathi Rao, Andrew A. Hicks, Eva Brand, Viviane Nicaud, Stephen G. Ball, Anna Köttgen, Germaine C. Verwoert, Anders Hamsten, Nick Shrine, Uwe Völker, Stefan Kloiber, Stephen Hancock, Emelia J. Benjamin, Bok Ghee Han, Kenneth Rice, Mark Woodward, Veronique Vitart, Karl Andersen, Nicholas J. Wareham, Robert Roberts, Maja Barbalić, David Couper, Yukinori Okada, André G. Uitterlinden, Sekar Kathiresan, Leo-Pekka Lyytikäinen, Pankaj Arora, Tatijana Zemunik, David S. Siscovick, Simonetta Guarrera, Dawn M. Waterworth, Tatjana Stojakovic, Braxton D. Mitchell, Devin Absher, Carmen A. Peralta, Mika Kivimäki, Xueling Sim, Norihiro Kato, Philippe Froguel, Keith L. Keene, Donna K. Arnett, Naoyuki Kamatani, Tazeen H. Jafar, Idris Guessous, Gunnar Jacobs, Michael M. Hoffmann, Kari Stefansson, Christian Hengstenberg, Tomonori Okamura, Inga Prokopenko, Christina Willenborg, Peter S. Braund, Rainer Rettig, Francesco U.S. Mattace-Raso, Vikal Tripathy, F. Gerald R. Fowkes, Laura R. Loehr, Harry Campbell, Margherita Cavalieri, Olle Melander, Hao Mei, I. Mateo Leach, Nicholette D. Palmer, Eva Albrecht, Naoharu Iwai, Stefan Martin Brand, Toshiko Tanaka, Jackie A. Cooper, Omri Gottesman, Manuela Uda, Angelo Scuteri, Aroon D. Hingorani, Cristiano Fava, Yusuke Nakamura, Jiang He, Min Jin Go, Serge Hercberg, Wendy L. McArdle, Philipp S. Wild, Florian Ernst, Paul Mitchell, Wolfgang Koenig, Caroline S. Fox, S. J.Cathy Fann, Janine F. Felix, Anna F. Dominiczak, Mike A. Nalls, Erik Ingelsson, Mario A. Morken, Susana Eyheramendy, Christopher Newton-Cheh, Igor Rudan, D. G. Vinay, Christopher P. Nelson, Ervin R. Fox, Xiuqing Guo, Jing Hua Zhao, Rick Twee-Hee Ong, Margaret M. Redfield, Oscar H. Franco, Yongmei Liu, Fulvio Ricceri, Mark A. Hlatky, Bernhard Paulweber, Mingyao Li, Themistocles L. Assimes, Karl Winkler, Inês Barroso, Sylvia E. Rosas, M Walker, Richard W Morris, Bo Hedblad, Hakon Hakonarson, Sonny Dandona, Peter H. Whincup, Martin Adam, Vilmundur Gudnason, Daniel Ackermann, Qiong Yang, Cuno S. P. M. Uiterwaal, Paul M. Ridker, George Davey Smith, Li Chen, C. Sinning, Terri L. Young, Jer-Yuarn Wu, Walter Palmas, Will Longstreth, Joe Devaney, Pavel Hamet, Xiaofeng Zhu, Fredrik Nyberg, Wilfried Renner, Anuj Goel, L. Adrienne Cupples, Nish Chaturvedi, Iftikhar J. Kullo, Nicholas D. Hastie, Aude Saint-Pierre, Panos Deloukas, Smita R. Kulkarni, Eric Boerwinkle, Wolfram Goessling, Gian Andri Thun, Eric J.G. Sijbrands, Shih-Jen Hwang, Carole Proust, Hirotsugu Ueshima, Kristian Hveem, Pierre Meneton, Joshua C. Denny, Olivier Devuyst, Kerri L. Wiggins, Ming-Huei Chen, Robert W. Lawrence, Robert L. Wilensky, Andre Franke, Nicole Soranzo, Simon Heath, Margot Haun, Karlhans Endlich, David Altshuler, Harald Grallert, Laurence Tiret, Luigi Ferrucci, Caroline Hayward, Sudha Seshadri, Bénédicte Stengel, Lynne E. Wagenknecht, John Attia, Andreas Ziegler, Renate B. Schnabel, Stefan Schreiber, Santosh Dahgam, Kurt Lohman, Christian M. Shaffer, Barbara Ludwig, Katalin Susztak, Chien-Hsiun Chen, Michele K. Evans, Paolo Vineis, Guo Li, Thomas J. Wang, Meena Kumari, Heather M. Stringham, Bruce M. Psaty, Norman Klopp, Halit Ongen, Ben A. Oostra, Stefan Coassin, Petra Bruse, Wei-Min Chen, Unnur Thorsteinsdottir, Charles N. Rotimi, Robert J. Carroll, Muredach P. Reilly, Niek Verweij, Dena G. Hernandez, Amy J. Swift, Barbara Kollerits, Hyung Lae Kim, Cristian Pattaro, Ivana Kolcic, Ronit Katz, John M. C. Connell, Dan E. Arking, Albert W. Dreisbach, Peter Vollenweider, C. S. Janipalli, Jian'an Luan, Erkki Vartiainen, James T. Willerson, John R. Thompson, Daniela Toniolo, Lyle J. Palmer, Alexander Teumer, Serkalem Demissie-Banjaw, Stella Trompet, James E. Hixson, Sue Shaw-Hawkins, Rossella Sorice, Bernhard R. Winkelmann, John Danesh, Anthony J. Balmforth, Toshio Ogihara, Jyotika K. Fernandes, Ulf Gyllensten, Ville Aalto, Åsa Johansson, Andres Metspalu, John F. Peden, Diana Kuh, Medea Imboden, Antonio Lupo, Su Chi Lim, Young-Jin Kim, Giovanni Malerba, Yurii S. Aulchenko, Satoshi Umemura, Ioanna Tzoulaki, Alan B. Weder, Helena Schmidt, Gerjan Navis, Susan R. Heckbert, Hans J. Rupprecht, Edward G. Lakatta, Christian Gieger, Najaf Amin, Paul Muntner, Lenore J. Launer, Ivana Persico, Hugh Watkins, Ian Ford, K. Radha Mani, Sylvia Stracke, Johanna Kuusisto, John Chalmers, Muhammad Islam, Lars Lind, Stefan R. Bornstein, Marjo-Riitta Järvelin, J. H. Young, Reiner Biffar, Santhi K. Ganesh, Kazuhiko Yamamoto, Annette Peters, Linda S. Adair, Tõnu Esko, Rebecca Hardy, Olga Jarinova, Antonietta Robino, Ruth McPherson, Benjamin F. Voight, Anne U. Jackson, Gang Shi, Stefania Bandinelli, Peter J. van der Most, John S. Gottdiener, Ying A. Wang, Mariza de Andrade, Joshua C. Bis, Leslie J. Raffel, Man Li, Jemma C. Hopewell, Bernhard O. Böhm, Aaron R. Folsom, Noël P. Burtt, S. Sidney, Diana Zelenika, Yuri Milaneschi, Pilar Galan, Iris M. Heid, Bernhard K. Krämer, Jean-Michel Gaspoz, Lynda M. Rose, Massimiliano Cocca, Jaap W. Deckers, Martin Farrall, Kent D. Taylor, Albert V. Smith, Candace Guiducci, Alan R. Shuldiner, Shiro Maeda, Liming Qu, Marilyn C. Cornelis, Xiaoling Wang, Daniel Shriner, Jutta Palmen, Yingchang Lu, Heyo K. Kroemer, Pio D'Adamo, Stephan J. L. Bakker, Tamara B. Harris, Myriam Rheinberger, Tetsuro Miki, Audrey Y. Chu, Ramachandran S. Vasan, Fuu Jen Tsai, Jan A. Staessen, Daniel I. Chasman, Jan Stritzke, Jasmin Divers, Meredith C. Foster, Jeanette M. Stafford, Maksim Struchalin, Arne Schillert, Jacques S. Beckmann, Mark E. Cooper, Jean-Charles Lambert, Mario Pirastu, Katja Butterbach, Carl G. P. Platou, Yan V. Sun, Marcus Fischer, Maciej Tomaszewski, Karl Werdan, Peng Chen, Daniel J. Rader, Thomas Münzel, Lowell F. Satler, Tom R. Gaunt, Brenda W.J.H. Penninx, William H. Matthai, John Whitfield, Rita P.S. Middelberg, Margus Viigimaa, Toshihiro Tanaka, Ida Yii Der Chen, Morris J. Brown, Valur Emilsson, J. Viikari, Wolfgang Lieb, Stephen E. Epstein, Harald Dobnig, Aravinda Chakravarti, Patrick Linsel-Nitschke, Stefan Pilz, Angela Doering, Sarah H. Wild, Patricia B. Munroe, Megan E. Rudock, Nicole Probst-Hensch, Danish Saleheen, Diederick E. Grobbee, Anke Tönjes, Narisu Narisu, Annika Rosengren, Masato Isono, Catherine Helmer, M. J.Kranthi Kumar, Alanna C. Morrison, Kay-Tee Khaw, Tanja Zeller, Jeffrey R. O'Connell, Christian Müller, Georg Homuth, Giriraj R. Chandak, Pankaj Sharma, Marcus Dörr, Veikko Salomaa, Paul F. O'Reilly, David Hadley, Hermann Brenner, Paolo Gasparini, Nanette R. Lee, Bamidele O. Tayo, Robert Clarke, Henri Wallaschofski, Marketa Sjögren, Abbas Dehghan, Melanie Waldenberger, Neil Risch, Vasyl Pihur, Jessica D. Faul, François Cambien, Christian Fuchsberger, Nicholas G. Martin, John C. Chambers, Zouhair Aherrahrou, Karl J. Lackner, Leif Groop, Matthias Olden, Wiek H. van Gilst, Mathias Gorski, Yvonne T. van der Schouw, Patrick Diemert, Christoph Bickel, Yik Ying Teo, Giorgio Pistis, Ruth J. F. Loos, Gudrun Veldre, Thorsten Reffelmann, Lude Franke, Karen L. Mohlke, Stefan Blankenberg, Massimo Mangino, Ian N. M. Day, Atsushi Takahashi, Alan B. Zonderman, Hua Tang, Reijo Laaksonen, Holly Kramer, Gary C. Curhan, Adrienne Tin, Talin Haritunians, Loic Yengo, Philip Howard, Arnika Kathleen Wagner, Anna Maria Corsi, Yen Pei C. Chang, Karin Halina Greiser, Jeanette Erdmann, Solveig Gretarsdottir, Sanjay Kinra, Alex Parker, Belen Ponte, Marina Ciullo, Michael Preuss, Tin Aung, Nicholas L. Smith, Michiaki Kubo, Richard N. Bergman, Alan S. Go, Patricia P. Chang, Gudmundur Thorgeirsson, Christa Meisinger, Gonçalo R. Abecasis, Maria Blettner, Jaana Laitinen, Daniel Taliun, Carlos Iribarren, Paavo Zitting, Thomas Lumley, Andreas Meinitzer, Wayne D. Rosamond, Daehee Kang, Johanne Tremblay, Stephan B. Felix, Colin A. McKenzie, Yuan-Tsong Chen, Lyudmyla Kedenko, Mladen Boban, Fadi J. Charchar, Adebowale Adeyemo, Brendan M. Buckley, Jennifer A. Smith, Reinhold Schmidt, Jaspal S. Kooner, Gavin Lucas, Paul Elliott, Dorairajan Prabhakaran, Tune H. Pers, Tunde Salako, Terrence Forrester, Paul Burton, Jeffrey R. Gulcher, Kelly A. Volcik, Richard M. Myers, Andreas Tomaschitz, H.-Erich Wichmann, Jie Yao, Giuseppe Matullo, Carsten A. Böger, Henry Völzke, Daniela Ruggiero, Federico Murgia, Yoshikuni Kita, Augustine Kong, Giovanni Gambaro, Cinzia Sala, Peter P. Pramstaller, James Scott, Maris Laan, Laura J. Scott, Alistair S. Hall, Sanaz Sedaghat, James F. Wilson, Joanne M. Murabito, Yi-An Ko, Honghuang Lin, Mark Seielstad, Leena Peltonen, Sven Bergmann, Thomas Meitinger, Matthias Nauck, María Soler Artigas, Thomas Illig, Nanette I. Steinle, Samer S. Najjar, Christina Loley, Debbie A Lawlor, Steven C. Hunt, Yali Li, Weihua Zhang, Jie Jin Wang, Daniele Cusi, Marco Orrù, Stephen P. Fortmann, Melissa Garcia, Barry I. Freedman, Joseph M. Lindsay, Juan P. Casas, Tomohiro Katsuya, Grant W. Montgomery, Hubert Scharnagl, Khanh-Dung H. Nguyen, Steven M. Schwartz, Afshin Parsa, Elizabeth G. Holliday, Murielle Bochud, Kiran Musunuru, Bruno H. Stricker, Lori L. Bonnycastle, Ilja M. Nolte, Timothy M. Frayling, Stefan Enroth, Michiel L. Bots, Mark J. Caulfield, Laura Portas, Vincent Chouraki, Carl D. Langefeld, Eran Halperin, Shufeng Chen, Philippa J. Talmud, Terho Lehtimäki, Steve E. Humphries, Gudmar Thorleifsson, Anika Grosshennig, Norbert Watzinger, Fumihiko Takeuchi, Pim van der Harst, Takayoshi Ohkubo, Nabila Bouatia-Naji, Erwin P. Bottinger, Roberto Elosua, Andrew Wong, Vladan Mijatovic, Maija K. Garnaas, Robert Zweiker, Joel N. Hirschhorn, Winfried März, Nilesh J. Samani, Inke R. König, Frank B. Hu, Marcus E. Kleber, Francis S. Collins, Elena Rochtchina, Ewa Zukowska-Szczechowska, Yong Li, Ayse Demirkan, Gina Hilton, G. Ehret, Thomas H. Mosley, Markus Perola, Alexandre F.R. Stewart, Josef Coresh, Olli T. Raitakari, Feng Zhang, Mark Lathrop, Michael Marmot, Yanbin Dong, Christopher J. O'Donnell, Kristin D. Marciante, Asif Rasheed, Mary F. Feitosa, Mary Susan Burnett, Rory Collins, J. Wouter Jukema, Nele Friedrich, Aida Karina Dieffenbach, Ying Wu, Yoon Shin Cho, Aaron Isaacs, Haidong Zhu, Marie Metzger, Myriam Alexander, Tanja B. Grammer, Tatiana Kuznetsova, Dabeeru C. Rao, Jayashri Aragam, Augusto D. Pichard, Jaakko Tuomilehto, Louise V. Wain, Elizabeth J. Atkinson, Tim D. Spector, Reedik Mägi, Tiit Nikopensius, Kenneth M. Kent, Guangju Zhai, Andrew D. Johnson, Menno Pruijm, David P. Strachan, Martin D. Tobin, Joban Sehmi, Janja Nahrstedt, E. Shyong Tai, Thor Aspelund, Jürgen Grässler, Hilma Holm, Matthew Denniff, Joshua W. Knowles, Tien Yin Wong, Erika Salvi, James F. Meschia, Dongfeng Gu, Ron Waksman, Stacey Gabriel, Judith A. Hoffman Bolton, Michael Boehnke, Johannes Haerting, Darina Czamara, Heribert Schunkert, Thomas Quertermous, Peter M. Nilsson, Jong-Young Lee, Yasuharu Tabara, Chittaranjan S. Yajnik, Daniel Levy, John Beilby, Fernando Rivadeneira, Claire Perret, Gudny Eiriksdottir, Jingzhong Ding, George A. Wells, Harold Snieder, Ayo P. Doumatey, Dag S. Thelle, Anja Medack, N. Charlotte Onland-Moret, Michael Stumvoll, David Ellinghaus, Ingrid B. Borecki, Tatsuhiko Tsunoda, Ian H. de Boer, M. Arfan Ikram, Andrew M. Taylor, Johannes H. Smit, Gary F. Mitchell, Anna-Liisa Hartikainen, Markku Laakso, Mark McEvoy, Andrew S. Plump, Toby Johnson, Cornelia M. van Duijn, Ozren Polasek, Wilmar Igl, Vincent Mooser, Rodney J. Scott, Mika Kähönen, Peter Schwarz, Psychiatry, EMGO - Mental health, Pattaro, Cristian, Teumer, Alexander, Gorski, Mathia, Chu, Audrey Y., Li, Man, Mijatovic, Vladan, Garnaas, Maija, Tin, Adrienne, Sorice, Rossella, Li, Yong, Taliun, Daniel, Olden, Matthia, Foster, Meredith, Yang, Qiong, Chen, Ming Huei, Pers, Tune H., Johnson, Andrew D., Ko, Yi An, Fuchsberger, Christian, Tayo, Bamidele, Nalls, Michael, Feitosa, Mary F., Isaacs, Aaron, Dehghan, Abba, D'Adamo, ADAMO PIO, Adeyemo, Adebowale, Dieffenbach, Aida Karina, Zonderman, Alan B., Nolte, Ilja M., Van Der Most, Peter J., Wright, Alan F., Shuldiner, Alan R., Morrison, Alanna C., Hofman, Albert, Smith, Albert V., Dreisbach, Albert W., Franke, Andre, Uitterlinden, Andre G., Metspalu, Andre, Tonjes, Anke, Lupo, Antonio, Robino, Antonietta, Johansson, Åsa, Demirkan, Ayse, Kollerits, Barbara, Freedman, Barry I., Ponte, Belen, Oostra, Ben A., Paulweber, Bernhard, Krämer, Bernhard K., Mitchell, Braxton D., Buckley, Brendan M., Peralta, Carmen A., Hayward, Caroline, Helmer, Catherine, Rotimi, Charles N., Shaffer, Christian M., Müller, Christian, Sala, Cinzia, Van Duijn, Cornelia M., Saint Pierre, Aude, Ackermann, Daniel, Shriner, Daniel, Ruggiero, Daniela, Toniolo, Daniela, Lu, Yingchang, Cusi, Daniele, Czamara, Darina, Ellinghaus, David, Siscovick, David S., Ruderfer, Dougla, Gieger, Christian, Grallert, Harald, Rochtchina, Elena, Atkinson, Elizabeth J., Holliday, Elizabeth G., Boerwinkle, Eric, Salvi, Erika, Bottinger, Erwin P., Murgia, Federico, Rivadeneira, Fernando, Ernst, Florian, Kronenberg, Florian, Hu, Frank B., Navis, Gerjan J., Curhan, Gary C., Ehret, George B., Homuth, Georg, Coassin, Stefan, Thun, Gian Andri, Pistis, Giorgio, Gambaro, Giovanni, Malerba, Giovanni, Montgomery, Grant W., Eiriksdottir, Gudny, Jacobs, Gunnar, Li, Guo, Wichmann, H. Erich, Campbell, Harry, Schmidt, Helena, Wallaschofski, Henri, Völzke, Henry, Brenner, Hermann, Kroemer, Heyo K., Kramer, Holly, Lin, Honghuang, Leach, I. Mateo, Ford, Ian, Guessous, Idri, Rudan, Igor, Prokopenko, Inga, Borecki, Ingrid, Heid, Iris M., Kolcic, Ivana, Persico, Ivana, Jukema, J. Wouter, Wilson, James F., Felix, Janine F., Divers, Jasmin, Lambert, Jean Charle, Stafford, Jeanette M., Gaspoz, Jean Michel, Smith, Jennifer A., Faul, Jessica D., Wang, Jie Jin, Ding, Jingzhong, Hirschhorn, Joel N., Attia, John, Whitfield, John B., Chalmers, John, Viikari, Jorma, Coresh, Josef, Denny, Joshua C., Karjalainen, Juha, Fernandes, Jyotika K., Endlich, Karlhan, Butterbach, Katja, Keene, Keith L., Lohman, Kurt, Portas, Laura, Launer, Lenore J., Lyytikäinen, Leo Pekka, Yengo, Loic, Franke, Lude, Ferrucci, Luigi, Rose, Lynda M., Kedenko, Lyudmyla, Rao, Madhumathi, Struchalin, Maksim, Kleber, Marcus E., Cavalieri, Margherita, Haun, Margot, Cornelis, Marilyn C., Ciullo, Marina, Pirastu, Mario, De Andrade, Mariza, Mcevoy, Mark A., Woodward, Mark, Adam, Martin, Cocca, Massimiliano, Nauck, Matthia, Imboden, Medea, Waldenberger, Melanie, Pruijm, Menno, Metzger, Marie, Stumvoll, Michael, Evans, Michele K., Sale, Michele M., Kähönen, Mika, Boban, Mladen, Bochud, Murielle, Rheinberger, Myriam, Verweij, Niek, Bouatia Naji, Nabila, Martin, Nicholas G., Hastie, Nick, Probst Hensch, Nicole, Soranzo, Nicole, Devuyst, Olivier, Raitakari, Olli, Gottesman, Omri, Franco, Oscar H., Polasek, Ozren, Gasparini, Paolo, Munroe, Patricia B., Ridker, Paul M., Mitchell, Paul, Muntner, Paul, Meisinger, Christa, Smit, Johannes H., Abecasis, Goncalo R., Adair, Linda S., Alexander, Myriam, Altshuler, David, Amin, Najaf, Arking, Dan E., Arora, Pankaj, Aulchenko, Yurii, Bakker, Stephan J. L., Bandinelli, Stefania, Barroso, Ine, Beckmann, Jacques S., Beilby, John P., Bergman, Richard N., Bergmann, Sven, Bis, Joshua C., Boehnke, Michael, Bonnycastle, Lori L., Bornstein, Stefan R., Bots, Michiel L., Bragg Gresham, Jennifer L., Brand, Stefan Martin, Brand, Eva, Braund, Peter S., Brown, Morris J., Burton, Paul R., Casas, Juan P., Caulfield, Mark J., Chakravarti, Aravinda, Chambers, John C., Chandak, Giriraj R., Chang, Yen Pei C., Charchar, Fadi J., Chaturvedi, Nish, Cho, Yoon Shin, Clarke, Robert, Collins, Francis S., Collins, Rory, Connell, John M., Cooper, Jackie A., Cooper, Matthew N., Cooper, Richard S., Corsi, Anna Maria, Dörr, Marcu, Dahgam, Santosh, Danesh, John, Smith, George Davey, Day, Ian N. M., Deloukas, Pano, Denniff, Matthew, Dominiczak, Anna F., Dong, Yanbin, Doumatey, Ayo, Elliott, Paul, Elosua, Roberto, Erdmann, Jeanette, Eyheramendy, Susana, Farrall, Martin, Fava, Cristiano, Forrester, Terrence, Fowkes, F. Gerald R., Fox, Ervin R., Frayling, Timothy M., Galan, Pilar, Ganesh, Santhi K., Garcia, Melissa, Gaunt, Tom R., Glazer, Nicole L., Go, Min Jin, Goel, Anuj, Grässler, Jürgen, Grobbee, Diederick E., Groop, Leif, Guarrera, Simonetta, Guo, Xiuqing, Hadley, David, Hamsten, Ander, Han, Bok Ghee, Hardy, Rebecca, Hartikainen, Anna Liisa, Heath, Simon, Heckbert, Susan R., Hedblad, Bo, Hercberg, Serge, Hernandez, Dena, Hicks, Andrew A., Hilton, Gina, Hingorani, Aroon D., Hoffman Bolton, Judith A., Hopewell, Jemma C., Howard, Philip, Humphries, Steve E., Hunt, Steven C., Hveem, Kristian, Ikram, M. Arfan, Islam, Muhammad, Iwai, Naoharu, Jarvelin, Marjo Riitta, Jackson, Anne U., Jafar, Tazeen H., Janipalli, Charles S., Johnson, Toby, Kathiresan, Sekar, Khaw, Kay Tee, Kim, Hyung Lae, Kinra, Sanjay, Kita, Yoshikuni, Kivimaki, Mika, Kooner, Jaspal S., Kumar, M. J. Kranthi, Kuh, Diana, Kulkarni, Smita R., Kumari, Meena, Kuusisto, Johanna, Kuznetsova, Tatiana, Laakso, Markku, Laan, Mari, Laitinen, Jaana, Lakatta, Edward G., Langefeld, Carl D., Larson, Martin G., Lathrop, Mark, Lawlor, Debbie A., Lawrence, Robert W., Lee, Jong Young, Lee, Nanette R., Levy, Daniel, Li, Yali, Longstreth, Will T., Luan, Jian'An, Lucas, Gavin, Ludwig, Barbara, Mangino, Massimo, Mani, K. Radha, Marmot, Michael G., Mattace Raso, Francesco U. S., Matullo, Giuseppe, Mcardle, Wendy L., Mckenzie, Colin A., Meitinger, Thoma, Melander, Olle, Meneton, Pierre, Meschia, James F., Miki, Tetsuro, Milaneschi, Yuri, Mohlke, Karen L., Mooser, Vincent, Morken, Mario A., Morris, Richard W., Mosley, Thomas H., Najjar, Samer, Narisu, Narisu, Newton Cheh, Christopher, Nguyen, Khanh Dung Hoang, Nilsson, Peter, Nyberg, Fredrik, O'Donnell, Christopher J., Ogihara, Toshio, Ohkubo, Takayoshi, Okamura, Tomonori, Ong, Rick Twee Hee, Ongen, Halit, Onland Moret, N. Charlotte, O'Reilly, Paul F., Org, Elin, Orru, Marco, Palmas, Walter, Palmen, Jutta, Palmer, Lyle J., Palmer, Nicholette D., Parker, Alex N., Peden, John F., Peltonen, Leena, Perola, Marku, Pihur, Vasyl, Platou, Carl G. P., Plump, Andrew, Prabhakaran, Dorairajan, Psaty, Bruce M., Raffel, Leslie J., Rao, Dabeeru C., Rasheed, Asif, Ricceri, Fulvio, Rice, Kenneth M., Rosengren, Annika, Rotter, Jerome I., Rudock, Megan E., Sõber, Siim, Salako, Tunde, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Schwartz, Steven M., Schwarz, Peter E. H., Scott, Laura J., Scott, Jame, Scuteri, Angelo, Sehmi, Joban S., Seielstad, Mark, Seshadri, Sudha, Sharma, Pankaj, Shaw Hawkins, Sue, Shi, Gang, Shrine, Nick R. G., Sijbrands, Eric J. G., Sim, Xueling, Singleton, Andrew, Sjögren, Marketa, Smith, Nicholas L., Artigas, Maria Soler, Spector, Tim D., Staessen, Jan A., Stancakova, Alena, Steinle, Nanette I., Strachan, David P., Stringham, Heather M., Sun, Yan V., Swift, Amy J., Tabara, Yasuharu, Tai, E. Shyong, Talmud, Philippa J., Taylor, Andrew, Terzic, Jano, Thelle, Dag S., Tobin, Martin D., Tomaszewski, Maciej, Tripathy, Vikal, Tuomilehto, Jaakko, Tzoulaki, Ioanna, Uda, Manuela, Ueshima, Hirotsugu, Uiterwaal, Cuno S. P. M., Umemura, Satoshi, Van Der Harst, Pim, Van Der Schouw, Yvonne T., Van Gilst, Wiek H., Vartiainen, Erkki, Vasan, Ramachandran S., Veldre, Gudrun, Verwoert, Germaine C., Viigimaa, Margu, Vinay, D. G., Vineis, Paolo, Voight, Benjamin F., Vollenweider, Peter, Wagenknecht, Lynne E., Wain, Louise V., Wang, Xiaoling, Wang, Thomas J., Wareham, Nicholas J., Watkins, Hugh, Weder, Alan B., Whincup, Peter H., Wiggins, Kerri L., Witteman, Jacqueline C. M., Wong, Andrew, Wu, Ying, Yajnik, Chittaranjan S., Yao, Jie, Young, J. H., Zelenika, Diana, Zhai, Guangju, Zhang, Weihua, Zhang, Feng, Zhao, Jing Hua, Zhu, Haidong, Zhu, Xiaofeng, Zitting, Paavo, Zukowska Szczechowska, Ewa, Okada, Yukinori, Wu, Jer Yuarn, Gu, Dongfeng, Takeuchi, Fumihiko, Takahashi, Atsushi, Maeda, Shiro, Tsunoda, Tatsuhiko, Chen, Peng, Lim, Su Chi, Wong, Tien Yin, Liu, Jianjun, Young, Terri L., Aung, Tin, Teo, Yik Ying, Kim, Young Jin, Kang, Daehee, Chen, Chien Hsiun, Tsai, Fuu Jen, Chang, Li Ching, Fann, S. J. Cathy, Mei, Hao, Hixson, James E., Chen, Shufeng, Katsuya, Tomohiro, Isono, Masato, Albrecht, Eva, Yamamoto, Kazuhiko, Kubo, Michiaki, Nakamura, Yusuke, Kamatani, Naoyuki, Kato, Norihiro, He, Jiang, Chen, Yuan Tsong, Tanaka, Toshihiro, Reilly, Muredach P., Schunkert, Heribert, Assimes, Themistocles L., Hall, Alistair, Hengstenberg, Christian, König, Inke R., Laaksonen, Reijo, Mcpherson, Ruth, Thompson, John R., Thorsteinsdottir, Unnur, Ziegler, Andrea, Absher, Devin, Chen, Li, Cupples, L. Adrienne, Halperin, Eran, Li, Mingyao, Musunuru, Kiran, Preuss, Michael, Schillert, Arne, Thorleifsson, Gudmar, Wells, George A., Holm, Hilma, Roberts, Robert, Stewart, Alexandre F. R., Fortmann, Stephen, Go, Alan, Hlatky, Mark, Iribarren, Carlo, Knowles, Joshua, Myers, Richard, Quertermous, Thoma, Sidney, Steven, Risch, Neil, Tang, Hua, Blankenberg, Stefan, Schnabel, Renate, Sinning, Christoph, Lackner, Karl J., Tiret, Laurence, Nicaud, Viviane, Cambien, Francoi, Bickel, Christoph, Rupprecht, Hans J., Perret, Claire, Proust, Carole, Münzel, Thomas F., Barbalic, Maja, Chen, Ida Yii Der, Demissie Banjaw, Serkalem, Folsom, Aaron, Lumley, Thoma, Marciante, Kristin, Taylor, Kent D., Volcik, Kelly, Gretarsdottir, Solveig, Gulcher, Jeffrey R., Kong, Augustine, Stefansson, Kari, Thorgeirsson, Gudmundur, Andersen, Karl, Fischer, Marcu, Grosshennig, Anika, Linsel Nitschke, Patrick, Stark, Klau, Schreiber, Stefan, Aherrahrou, Zouhair, Bruse, Petra, Doering, Angela, Klopp, Norman, Diemert, Patrick, Loley, Christina, Medack, Anja, Nahrstedt, Janja, Peters, Annette, Wagner, Arnika K., Willenborg, Christina, Böhm, Bernhard O., Dobnig, Harald, Grammer, Tanja B., Hoffmann, Michael M., Meinitzer, Andrea, Winkelmann, Bernhard R., Pilz, Stefan, Renner, Wilfried, Scharnagl, Hubert, Stojakovic, Tatjana, Tomaschitz, Andrea, Winkler, Karl, Guiducci, Candace, Burtt, Noel, Gabriel, Stacey B., Dandona, Sonny, Jarinova, Olga, Qu, Liming, Wilensky, Robert, Matthai, William, Hakonarson, Hakon H., Devaney, Joe, Burnett, Mary Susan, Pichard, Augusto D., Kent, Kenneth M., Satler, Lowell, Lindsay, Joseph M., Waksman, Ron, Knouff, Christopher W., Waterworth, Dawn M., Walker, Max C., Epstein, Stephen E., Rader, Daniel J., Nelson, Christopher P., Wright, Benjamin J., Balmforth, Anthony J., Ball, Stephen G., Loehr, Laura R., Rosamond, Wayne D., Benjamin, Emelia, Haritunians, Talin, Couper, David, Murabito, Joanne, Wang, Ying A., Stricker, Bruno H., Chang, Patricia P., Willerson, James T., Felix, Stephan B., Watzinger, Norbert, Aragam, Jayashri, Zweiker, Robert, Lind, Lar, Rodeheffer, Richard J., Greiser, Karin Halina, Deckers, Jaap W., Stritzke, Jan, Ingelsson, Erik, Kullo, Iftikhar, Haerting, Johanne, Reffelmann, Thorsten, Redfield, Margaret M., Werdan, Karl, Mitchell, Gary F., Arnett, Donna K., Gottdiener, John S., Blettner, Maria, Friedrich, Nele, Kovacs, Peter, Wild, Philipp S., Froguel, Philippe, Rettig, Rainer, Mägi, Reedik, Biffar, Reiner, Schmidt, Reinhold, Middelberg, Rita P. S., Carroll, Robert J., Penninx, Brenda W., Scott, Rodney J., Katz, Ronit, Sedaghat, Sanaz, Wild, Sarah H., Kardia, Sharon L. R., Ulivi, Sheila, Hwang, Shih Jen, Enroth, Stefan, Kloiber, Stefan, Trompet, Stella, Stengel, Benedicte, Hancock, Stephen J., Turner, Stephen T., Rosas, Sylvia E., Stracke, Sylvia, Harris, Tamara B., Zeller, Tanja, Zemunik, Tatijana, Lehtimäki, Terho, Illig, Thoma, Aspelund, Thor, Nikopensius, Tiit, Esko, Tonu, Tanaka, Toshiko, Gyllensten, Ulf, Völker, Uwe, Emilsson, Valur, Vitart, Veronique, Aalto, Ville, Gudnason, Vilmundur, Chouraki, Vincent, Chen, Wei Min, Igl, Wilmar, März, Winfried, Koenig, Wolfgang, Lieb, Wolfgang, Loos, Ruth J. F., Liu, Yongmei, Snieder, Harold, Pramstaller, Peter P., Parsa, Afshin, O'Connell, Jeffrey R., Susztak, Katalin, Hamet, Pavel, Tremblay, Johanne, De Boer, Ian H., Böger, Carsten A., Goessling, Wolfram, Chasman, Daniel I., Köttgen, Anna, Kao, W. H. Linda, Fox, Caroline S., RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, Biochemie, RS: FHML MaCSBio, Ehret, Georg Benedikt, Guessous, Idris, Gaspoz, Jean-Michel, Life Course Epidemiology (LCE), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Polymer Chemistry and Bioengineering, Value, Affordability and Sustainability (VALUE), Stem Cell Aging Leukemia and Lymphoma (SALL), Epidemiology, Public Health, Internal Medicine, Clinical Genetics, Erasmus MC other, Genetic Identification, ICBP Consortium, AGEN Consortium, CHARGe-Heart Failure Group, ECHOGen Consortium, CARDIOGRAM, Abecasis, GR., Adair, LS., Alexander, M., Altshuler, D., Amin, N., Arking, DE., Arora, P., Aulchenko, Y., Bakker, SJ., Bandinelli, S., Barroso, I., Beckmann, JS., Beilby, JP., Bergman, RN., Bergmann, S., Bis, JC., Boehnke, M., Bonnycastle, LL., Bornstein, SR., Bots, ML., Bragg-Gresham, JL., Brand, SM., Brand, E., Braund, PS., Brown, MJ., Burton, PR., Casas, JP., Caulfield, MJ., Chakravarti, A., Chambers, JC., Chandak, GR., Chang, YP., Charchar, FJ., Chaturvedi, N., Shin Cho, Y., Clarke, R., Collins, FS., Collins, R., Connell, JM., Cooper, JA., Cooper, MN., Cooper, RS., Corsi, AM., Dörr, M., Dahgam, S., Danesh, J., Davey Smith, G., Day, IN., Deloukas, P., Denniff, M., Dominiczak, AF., Dong, Y., Doumatey, A., Elliott, P., Elosua, R., Erdmann, J., Eyheramendy, S., Farrall, M., Fava, C., Forrester, T., Fowkes, FG., Fox, ER., Frayling, TM., Galan, P., Ganesh, SK., Garcia, M., Gaunt, TR., Glazer, NL., Go, MJ., Goel, A., Grässler, J., Grobbee, DE., Groop, L., Guarrera, S., Guo, X., Hadley, D., Hamsten, A., Han, BG., Hardy, R., Hartikainen, AL., Heath, S., Heckbert, SR., Hedblad, B., Hercberg, S., Hernandez, D., Hicks, AA., Hilton, G., Hingorani, AD., Bolton, JA., Hopewell, JC., Howard, P., Humphries, SE., Hunt, SC., Hveem, K., Ikram, MA., Islam, M., Iwai, N., Jarvelin, MR., Jackson, AU., Jafar, TH., Janipalli, CS., Johnson, T., Kathiresan, S., Khaw, KT., Kim, HL., Kinra, S., Kita, Y., Kivimaki, M., Kooner, JS., Kumar, MJ., Kuh, D., Kulkarni, SR., Kumari, M., Kuusisto, J., Kuznetsova, T., Laakso, M., Laan, M., Laitinen, J., Lakatta, EG., Langefeld, CD., Larson, MG., Lathrop, M., Lawlor, DA., Lawrence, RW., Lee, JY., Lee, NR., Levy, D., Li, Y., Longstreth, WT., Luan£££Jian'an£££ J., Lucas, G., Ludwig, B., Mangino, M., Mani, KR., Marmot, MG., Mattace-Raso, FU., Matullo, G., McArdle, WL., McKenzie, CA., Meitinger, T., Melander, O., Meneton, P., Meschia, JF., Miki, T., Milaneschi, Y., Mohlke, KL., Mooser, V., Morken, MA., Morris, RW., Mosley, TH., Najjar, S., Narisu, N., Newton-Cheh, C., Nguyen, KD., Nilsson, P., Nyberg, F., O'Donnell, CJ., Ogihara, T., Ohkubo, T., Okamura, T., Ong, RT., Ongen, H., Onland-Moret, NC., O'Reilly, PF., Org, E., Orru, M., Palmas, W., Palmen, J., Palmer, LJ., Palmer, ND., Parker, AN., Peden, JF., Peltonen, L., Perola, M., Pihur, V., Platou, CG., Plump, A., Prabhakaran, D., Psaty, BM., Raffel, LJ., Rao, DC., Rasheed, A., Ricceri, F., Rice, KM., Rosengren, A., Rotter, JI., Rudock, ME., Sõber, S., Salako, T., Saleheen, D., Salomaa, V., Samani, NJ., Schwartz, SM., Schwarz, PE., Scott, LJ., Scott, J., Scuteri, A., Sehmi, JS., Seielstad, M., Seshadri, S., Sharma, P., Shaw-Hawkins, S., Shi, G., Shrine, NR., Sijbrands, EJ., Sim, X., Singleton, A., Sjögren, M., Smith, NL., Soler Artigas, M., Spector, TD., Staessen, JA., Stancakova, A., Steinle, NI., Strachan, DP., Stringham, HM., Sun, YV., Swift, AJ., Tabara, Y., Tai, ES., Talmud, PJ., Taylor, A., Terzic, J., Thelle, DS., Tobin, MD., Tomaszewski, M., Tripathy, V., Tuomilehto, J., Tzoulaki, I., Uda, M., Ueshima, H., Uiterwaal, CS., Umemura, S., van der Harst, P., van der Schouw YT., van Gilst WH., Vartiainen, E., Vasan, RS., Veldre, G., Verwoert, GC., Viigimaa, M., Vinay, DG., Vineis, P., Voight, BF., Vollenweider, P., Wagenknecht, LE., Wain, LV., Wang, X., Wang, TJ., Wareham, NJ., Watkins, H., Weder, AB., Whincup, PH., Wiggins, KL., Witteman, JC., Wong, A., Wu, Y., Yajnik, CS., Yao, J., Young, JH., Zelenika, D., Zhai, G., Zhang, W., Zhang, F., Zhao, JH., Zhu, H., Zhu, X., Zitting, P., Zukowska-Szczechowska, E., Okada, Y., Wu, JY., Gu, D., Takeuchi, F., Takahashi, A., Maeda, S., Tsunoda, T., Chen, P., Lim, SC., Wong, TY., Liu, J., Young, TL., Aung, T., Teo, YY., Kim, YJ., Kang, D., Chen, CH., Tsai, FJ., Chang, LC., Fann, SJ., Mei, H., Hixson, JE., Chen, S., Katsuya, T., Isono, M., Albrecht, E., Yamamoto, K., Kubo, M., Nakamura, Y., Kamatani, N., Kato, N., He, J., Chen, YT., Tanaka, T., Reilly, MP., Schunkert, H., Assimes, TL., Hall, A., Hengstenberg, C., König, IR., Laaksonen, R., McPherson, R., Thompson, JR., Thorsteinsdottir, U., Ziegler, A., Absher, D., Chen, L., Cupples, LA., Halperin, E., Li, M., Musunuru, K., Preuss, M., Schillert, A., Thorleifsson, G., Wells, GA., Holm, H., Roberts, R., Stewart, AF., Fortmann, S., Go, A., Hlatky, M., Iribarren, C., Knowles, J., Myers, R., Quertermous, T., Sidney, S., Risch, N., Tang, H., Blankenberg, S., Schnabel, R., Sinning, C., Lackner, KJ., Tiret, L., Nicaud, V., Cambien, F., Bickel, C., Rupprecht, HJ., Perret, C., Proust, C., Münzel, TF., Barbalic, M., Chen, IY., Demissie-Banjaw, S., Folsom, A., Lumley, T., Marciante, K., Taylor, KD., Volcik, K., Gretarsdottir, S., Gulcher, JR., Kong, A., Stefansson, K., Thorgeirsson, G., Andersen, K., Fischer, M., Grosshennig, A., Linsel-Nitschke, P., Stark, K., Schreiber, S., Aherrahrou, Z., Bruse, P., Doering, A., Klopp, N., Diemert, P., Loley, C., Medack, A., Nahrstedt, J., Peters, A., Wagner, AK., Willenborg, C., Böhm, BO., Dobnig, H., Grammer, TB., Hoffmann, MM., Meinitzer, A., Winkelmann, BR., Pilz, S., Renner, W., Scharnagl, H., Stojakovic, T., Tomaschitz, A., Winkler, K., Guiducci, C., Burtt, N., Gabriel, SB., Dandona, S., Jarinova, O., Qu, L., Wilensky, R., Matthai, W., Hakonarson, HH., Devaney, J., Burnett, MS., Pichard, AD., Kent, KM., Satler, L., Lindsay, JM., Waksman, R., Knouff, CW., Waterworth, DM., Walker, MC., Epstein, SE., Rader, DJ., Nelson, CP., Wright, BJ., Balmforth, AJ., Ball, SG., Loehr, LR., Rosamond, WD., Benjamin, E., Haritunians, T., Couper, D., Murabito, J., Wang, YA., Stricker, BH., Chang, PP., Willerson, JT., Felix, SB., Watzinger, N., Aragam, J., Zweiker, R., Lind, L., Rodeheffer, RJ., Greiser, KH., Deckers, JW., Stritzke, J., Ingelsson, E., Kullo, I., Haerting, J., Reffelmann, T., Redfield, MM., Werdan, K., Mitchell, GF., Arnett, DK., Gottdiener, JS., Blettner, M., and Friedrich, N.

Subjects
0301 basic medicine, Nephrology, Genetics and Molecular Biology (all), estimated glomerular filtration rate, estimated glomerular filtration rate, chronic kidney disease, genetic determinants, General Physics and Astronomy, Kidney development, Genome-wide association study, Biochemistry, Settore MED/14 - NEFROLOGIA, Renal Insufficiency, Chronic, Genetics, AGEN Consortium, ddc:616, education.field_of_study, Kidney, Stage renal-disease, Multidisciplinary, Genome-wide association, CHARGe-Heart Failure Group, Gene Expression Regulation, Genome-Wide Association Study, Genotype, Humans, Renal Insufficiency, Chronic, Genetic Predisposition to Disease, Biochemistry, Genetics and Molecular Biology (all), Chemistry (all), Physics and Astronomy (all), Metaanalysis, Renal Insufficiency, Chronic/genetics, Biological sciences, Serum creatinine, medicine.anatomical_structure, Efficient, Ronyons -- Fisiologia, Hypertension, ICBP Consortium, Transmembrane transporter activity, genetic association, loci, kidney function, CARDIOGRAM, Human, medicine.medical_specialty, Science, Population, Renal function, ECHOGen Consortium, Replication, Biology, Environment, Research Support, General Biochemistry, Genetics and Molecular Biology, N.I.H, genetic determinants, 03 medical and health sciences, GENOME-WIDE ASSOCIATION, FALSE DISCOVERY RATES, STAGE RENAL-DISEASE, SERUM CREATININE, METAANALYSIS, VARIANTS, INDIVIDUALS, POPULATION, RISK, HYPERTENSION, Kidney function, Research Support, N.I.H., Extramural, Internal medicine, MD Multidisciplinary, medicine, Journal Article, eGFRcrea, eGFRcys, ddc:610, Genetik, Mortality, education, ddc:613, urogenital system, Individuals, Extramural, General Chemistry, ta3121, medicine.disease, R1, 030104 developmental biology, 570 Life sciences, biology, Genètica, chronic kidney disease, Kidney disease, Meta-Analysis
Abstract

Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways. J.T. and P.H. are consultants for Servier. J.C. received research grants and honoraria from Servier. K.S. obtained research support from Boehringer Ingelheim. The remaining authors declared no competing financial interests.

Published
2016
Full Text
View/download PDF

26. Evaluation of Genome Wide Association Study Associated Type 2 Diabetes Susceptibility Loci in Sub Saharan Africans

Author

Kofi Agyenim-Boateng, Adebowale Adeyemo, Francis S. Collins, Olufemi Fasanmade, Charles N. Rotimi, Settara C. Chandrasekharappa, Thomas Johnson, Fasil Tekola-Ayele, Johnnie Oli, Guanjie Chen, Jie Zhou, Albert G.B. Amoah, Benjamin A. Eghan, Jokotade Adeleye, Joseph Acheampong, Hanxia Huang, Daniel Shriner, Ayo P. Doumatey, Samuel Owusu, Williams Balogun, Godfrey Okafor, Amy R. Bentley, Georgia M. Dunston, Abdel G. Elkahloun, and Clement Adebamowo

Subjects
Linkage disequilibrium, replication, lcsh:QH426-470, endocrine system diseases, genetic association, 030209 endocrinology & metabolism, Locus (genetics), Genome-wide association study, Single-nucleotide polymorphism, Biology, genetic association analysis, 03 medical and health sciences, 0302 clinical medicine, Genetics, Genetics (clinical), 030304 developmental biology, Genetic association, Original Research, 0303 health sciences, Haplotype, nutritional and metabolic diseases, Tag SNP, lcsh:Genetics, fine-mapping, fine mapping, Molecular Medicine, sub Saharan Africa, type 2 diabetes, SNP array
Abstract

Genome wide association studies (GWAS) for type 2 diabetes (T2D) undertaken in European and Asian ancestry populations have yielded dozens of robustly associated loci. However, the genomics of T2D remains largely understudied in sub-Saharan Africa (SSA), where rates of T2D are increasing dramatically and where the environmental background is quite different than in these previous studies. Here, we evaluate 106 reported T2D GWAS loci in continental Africans. We tested each of these SNPs, and SNPs in linkage disequilibrium (LD) with these index SNPs, for an association with T2D in order to assess transferability and to fine map the loci leveraging the generally reduced LD of African genomes. The study included 1775 unrelated Africans (1,035 T2D cases, 740 controls; mean age 54 years; 59% female) enrolled in Nigeria, Ghana, and Kenya as part of the Africa America Diabetes Mellitus (AADM) study. All samples were genotyped on the Affymetrix Axiom PanAFR SNP array. Forty-one of the tested loci showed transferability to this African sample (p < 0.05, same direction of effect), 11 at the exact reported SNP and 30 others at SNPs in linkage disequilibrium (LD) with the reported SNP (after adjustment for the number of tested SNPs). TCF7L2 SNP rs7903146 was the most significant locus in this study (p=1.61 × 10-8). Most of the loci that showed transferability were successfully fine-mapped, i.e. localized to smaller haplotypes than in the original reports. The findings indicate that the genetic architecture of T2D in SSA is characterized by several risk loci shared with non-African ancestral populations and that data from African populations may facilitate fine mapping of risk loci. The study provides an important resource for meta-analysis of African ancestry populations and transferability of novel loci.

Published
2015
Full Text
View/download PDF

27. Phenotypic variance explained by local ancestry in admixed African Americans

Author

Jie Zhou, Charles N. Rotimi, Adebowale Adeyemo, Daniel Shriner, Amy R. Bentley, Ayo P. Doumatey, and Guanjie Chen

Subjects
lcsh:QH426-470, Quantitative trait locus, Biology, complex traits, 03 medical and health sciences, 0302 clinical medicine, Genetic variation, Genetics, random effects, Genetics (clinical), Original Research, 030304 developmental biology, Genetic association, health disparities, 0303 health sciences, Autosome, ancestry, Variance (accounting), Random effects model, Explained variation, lcsh:Genetics, Evolutionary biology, Genetic marker, phenotypic variance explained, Molecular Medicine, 030217 neurology & neurosurgery
Abstract

We surveyed 26 quantitative traits and disease outcomes to understand the proportion of phenotypic variance explained by local ancestry in admixed African Americans. After inferring local ancestry as the number of African-ancestry chromosomes at hundreds of thousands of genotyped loci across all autosomes, we used a linear mixed effects model to estimate the variance explained by local ancestry in two large independent samples of unrelated African Americans. We found that local ancestry at major and polygenic effect genes can explain up to 20% and 8% of phenotypic variance, respectively. These findings provide evidence that most but not all additive genetic variance is explained by genetic markers undifferentiated by ancestry. These results also inform the proportion of health disparities due to genetic risk factors and the magnitude of error in association studies not controlling for local ancestry.

Published
2015
Full Text
View/download PDF

28. Multiple loci associated with renal function in African Americans

Author

Michael F. Christman, Ayo P. Doumatey, Michael R. Erdos, Jie Zhou, Adebowale Adeyemo, Charles N. Rotimi, Hanxia Huang, Alan Herbert, Norman P. Gerry, Daniel Shriner, and Guanjie Chen

Subjects
Male, Linkage disequilibrium, Anatomy and Physiology, Heredity, lcsh:Medicine, Kidney, Kidney Function Tests, 0302 clinical medicine, Chronic Kidney Disease, lcsh:Science, Genetics, 0303 health sciences, education.field_of_study, Multidisciplinary, Statistics, Confounding, Regression analysis, Middle Aged, 3. Good health, Nephrology, Meta-analysis, Medicine, Female, Research Article, Glomerular Filtration Rate, Population, Genetic admixture, Biostatistics, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, medicine, Humans, education, Allele frequency, Genetic Association Studies, 030304 developmental biology, Renal Physiology, Quantitative Traits, lcsh:R, Human Genetics, Renal System, medicine.disease, Black or African American, Genetic Loci, Genetics of Disease, lcsh:Q, Mathematics, 030217 neurology & neurosurgery, Genealogy and Heraldry, Kidney disease
Abstract

The incidence of chronic kidney disease varies by ethnic group in the USA, with African Americans displaying a two-fold higher rate than European Americans. One of the two defining variables underlying staging of chronic kidney disease is the glomerular filtration rate. Meta-analysis in individuals of European ancestry has identified 23 genetic loci associated with the estimated glomerular filtration rate (eGFR). We conducted a follow-up study of these 23 genetic loci using a population-based sample of 1,018 unrelated admixed African Americans. We included in our follow-up study two variants in APOL1 associated with end-stage kidney disease discovered by admixture mapping in admixed African Americans. To address confounding due to admixture, we estimated local ancestry at each marker and global ancestry. We performed regression analysis stratified by local ancestry and combined the resulting regression estimates across ancestry strata using an inverse variance-weighted fixed effects model. We found that 11 of the 24 loci were significantly associated with eGFR in our sample. The effect size estimates were not significantly different between the subgroups of individuals with two copies of African ancestry vs. two copies of European ancestry for any of the 11 loci. In contrast, allele frequencies were significantly different at 10 of the 11 loci. Collectively, the 11 loci, including four secondary signals revealed by conditional analyses, explained 14.2% of the phenotypic variance in eGFR, in contrast to the 1.4% explained by the 24 loci in individuals of European ancestry. Our findings provide insight into the genetic basis of variation in renal function among admixed African Americans.

Published
2012

29. Circulating Adiponectin Is Associated with Renal Function Independent of Age and Serum Lipids in West Africans

Author

Albert G.B. Amoah, Godfrey Okafor, Thomas Johnson, Olufemi Fasanmade, Williams Balogun, Kofi Agyenim-Boateng, Charles N. Rotimi, Joseph Acheampong, Adebowale Adeyemo, Benjamin A. Eghan, Jokotade Adeleye, Johnnie Oli, Clement Adebamowo, Jie Zhou, Hanxia Huang, and Ayo P. Doumatey

Subjects
medicine.medical_specialty, Article Subject, 030232 urology & nephrology, Adipose tissue, Blood lipids, Renal function, 030209 endocrinology & metabolism, Logistic regression, urologic and male genital diseases, lcsh:RC870-923, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Epidemiology, medicine, Adiponectin, business.industry, nutritional and metabolic diseases, medicine.disease, lcsh:Diseases of the genitourinary system. Urology, 3. Good health, Endocrinology, Nephrology, Clinical Study, Biomarker (medicine), business, Kidney disease
Abstract

Adiponectin, a protein secreted by adipose tissue, has been associated with renal dysfunction. However, these observations have not been adequately investigated in large epidemiological studies of healthy individuals in general and in African populations in particular. Hence, we designed this study to evaluate the relationship between adiponectin and renal function in a large group of nondiabetic West Africans. Total adiponectin was measured in 792 participants. MDRD and Cockroft-Gault (CG-) estimated GFR were used as indices of renal function. Linear and logistic regression models were used to determine the relationship between adiponectin and renal function. Adiponectin showed an inverse relationship with eGFR in univariate (BetaMDRD=-0.18,BetaCG=-0.26) and multivariate (BetaMDRD=-0.10,BetaCG=-0.09) regression analyses. The multivariate models that included age, sex, BMI, hypertension, smoking, HDL-C, LDL-C, triglycerides, and adiponectin explained 30% and 55.6% of the variance in GFR estimated by MDRD and CG methods, respectively. Adiponectin was also a strong predictor of moderate chronic kidney disease (defined as eGFR < 60 mL/min/1.73 m2). We demonstrate that adiponectin is associated with renal function in nondiabetic West Africans. The observed relationship is independent of age and serum lipids. Our findings suggest that adiponectin may have clinical utility as a biomarker of renal function.

Published
2012

30. Transferability and Fine Mapping of genome-wide associated loci for lipids in African Americans

Author

Hanxia Huang, Norman P. Gerry, Michael F. Christman, Charles N. Rotimi, Katherine G. Meilleur, Jie Zhou, Alan Herbert, Adebowale Adeyemo, Daniel Shriner, Ayo P. Doumatey, Amy R. Bentley, and Guanjie Chen

Subjects
Male, Linkage disequilibrium, Genome-wide association study, lcsh:Internal medicine, Genotype, lcsh:QH426-470, Concordance, Population, Ethnic group, 030204 cardiovascular system & hematology, Biology, Polymorphism, Single Nucleotide, Linkage Disequilibrium, White People, 03 medical and health sciences, 0302 clinical medicine, Metabolic Diseases, Polymorphism (computer science), Ethnicity, Genetics, Humans, Genetic Predisposition to Disease, Genetics(clinical), education, lcsh:RC31-1245, Genetics (clinical), Triglycerides, 030304 developmental biology, African Americans, 0303 health sciences, education.field_of_study, Cholesterol, HDL, Cholesterol, LDL, Middle Aged, Lipids, Human genetics, Black or African American, lcsh:Genetics, Cholesterol, Diabetes Mellitus, Type 2, Cardiovascular Diseases, Genetic Loci, Female, Research Article
Abstract

Background A recent, large genome-wide association study (GWAS) of European ancestry individuals has identified multiple genetic variants influencing serum lipids. Studies of the transferability of these associations to African Americans remain few, an important limitation given interethnic differences in serum lipids and the disproportionate burden of lipid-associated metabolic diseases among African Americans. Methods We attempted to evaluate the transferability of 95 lipid-associated loci recently identified in European ancestry individuals to 887 non-diabetic, unrelated African Americans from a population-based sample in the Washington, DC area. Additionally, we took advantage of the generally reduced linkage disequilibrium among African ancestry populations in comparison to European ancestry populations to fine-map replicated GWAS signals. Results We successfully replicated reported associations for 10 loci (CILP2/SF4, STARD3, LPL, CYP7A1, DOCK7/ANGPTL3, APOE, SORT1, IRS1, CETP, and UBASH3B). Through trans-ethnic fine-mapping, we were able to reduce associated regions around 75% of the loci that replicated. Conclusions Between this study and previous work in African Americans, 40 of the 95 loci reported in a large GWAS of European ancestry individuals also influence lipid levels in African Americans. While there is now evidence that the lipid-influencing role of a number of genetic variants is observed in both European and African ancestry populations, the still considerable lack of concordance highlights the importance of continued ancestry-specific studies to elucidate the genetic underpinnings of these traits.

Full Text
View/download PDF

31. APOL1 G1 genotype modifies the association between HDLC and kidney function in African Americans

Author

Barry I. Freedman, Charles N. Rotimi, Orlando M. Gutiérrez, Daniel Shriner, Amy R. Bentley, Adebowale Adeyemo, Ayo P. Doumatey, and Jasmin Divers

Subjects
Male, Genotype, Apolipoprotein L1, Physiology, Renal function, Disease, 030204 cardiovascular system & hematology, Bioinformatics, Kidney, Nephropathy, 03 medical and health sciences, 0302 clinical medicine, High-density lipoprotein cholesterol, Gene Frequency, Risk Factors, medicine, Genetics, Humans, Allele, 10. No inequality, Allele frequency, Alleles, 030304 developmental biology, 0303 health sciences, biology, Haplotype, Cholesterol, HDL, Middle Aged, medicine.disease, 3. Good health, Black or African American, Apolipoproteins, Haplotypes, African ancestry, biology.protein, Female, Kidney Diseases, Glomerular filtration rate, Lipoproteins, HDL, Research Article, Biotechnology
Abstract

Background Despite evidence of an association between variants at the apolipoprotein L1 gene (APOL1) locus and a spectrum of related kidney diseases, underlying biological mechanisms remain unknown. An earlier preliminary study published by our group showed that an APOL1 variant (rs73885319) modified the association between high-density lipoprotein cholesterol (HDLC) and estimated glomerular filtration rate (eGFR) in African Americans. To further understand this relationship, we evaluated the interaction in two additional large cohorts of African Americans for a total of 3,592 unrelated individuals from the Howard University Family Study (HUFS), the Natural History of APOL1-Associated Nephropathy Study (NHAAN), and the Atherosclerosis Risk in Communities Study (ARIC). The association between HDLC and eGFR was determined using linear mixed models, and the interaction between rs73885319 genotype and HDLC was evaluated using a multiplicative term. Results Among individuals homozygous for the risk genotype, a strong inverse HDLC-eGFR association was observed, with a positive association in others (p for the interaction of the rs73885319 × HDLC =0.0001). The interaction was similar in HUFS and NHAAN, and attenuated in ARIC. Given that ARIC participants were older, we investigated an age effect; age was a significant modifier of the observed interaction. When older individuals were excluded, the interaction in ARIC was similar to that in the other studies. Conclusions Based on these findings, it is clear that the relationship between HDLC and eGFR is strongly influenced by the APOL1 rs73885319 kidney risk genotype. Moreover, the degree to which this variant modifies the association may depend on the age of the individual. More detailed physiological studies are warranted to understand how rs73885319 may affect the relationship between HDLC and eGFR in individuals with and without disease and across the lifespan. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1645-7) contains supplementary material, which is available to authorized users.

Full Text
View/download PDF

32. Development of admixture mapping panels for African Americans from commercial high-density SNP arrays

Author

Ayo P. Doumatey, Hanxia Huang, Jie Zhou, Norman P. Gerry, Alan Herbert, Yuanxiu Chen, Mezbah U. Faruque, Georgia M. Dunston, Charles N. Rotimi, Michael F. Christman, Adebowale Adeyemo, Daniel Shriner, and Guanjie Chen

Subjects
Genetic Markers, lcsh:QH426-470, lcsh:Biotechnology, High density, Genetic admixture, Computational biology, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, lcsh:TP248.13-248.65, Genetics, Humans, SNP, Genetic Predisposition to Disease, Genotyping, Oligonucleotide Array Sequence Analysis, 030304 developmental biology, Disease gene, 0303 health sciences, Chromosome Mapping, SNP genotyping, Black or African American, lcsh:Genetics, Genetic marker, Hypertension, 030217 neurology & neurosurgery, Research Article, SNP array, Biotechnology
Abstract

Background Admixture mapping is a powerful approach for identifying genetic variants involved in human disease that exploits the unique genomic structure in recently admixed populations. To use existing published panels of ancestry-informative markers (AIMs) for admixture mapping, markers have to be genotyped de novo for each admixed study sample and samples representing the ancestral parental populations. The increased availability of dense marker data on commercial chips has made it feasible to develop panels wherein the markers need not be predetermined. Results We developed two panels of AIMs (~2,000 markers each) based on the Affymetrix Genome-Wide Human SNP Array 6.0 for admixture mapping with African American samples. These two AIM panels had good map power that was higher than that of a denser panel of ~20,000 random markers as well as other published panels of AIMs. As a test case, we applied the panels in an admixture mapping study of hypertension in African Americans in the Washington, D.C. metropolitan area. Conclusions Developing marker panels for admixture mapping from existing genome-wide genotype data offers two major advantages: (1) no de novo genotyping needs to be done, thereby saving costs, and (2) markers can be filtered for various quality measures and replacement markers (to minimize gaps) can be selected at no additional cost. Panels of carefully selected AIMs have two major advantages over panels of random markers: (1) the map power from sparser panels of AIMs is higher than that of ~10-fold denser panels of random markers, and (2) clusters can be labeled based on information from the parental populations. With current technology, chip-based genome-wide genotyping is less expensive than genotyping ~20,000 random markers. The major advantage of using random markers is the absence of ascertainment effects resulting from the process of selecting markers. The ability to develop marker panels informative for ancestry from SNP chip genotype data provides a fresh opportunity to conduct admixture mapping for disease genes in admixed populations when genome-wide association data exist or are planned.

Full Text
View/download PDF

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

Author

David W Clark, Yukinori Okada, Kristjan H S Moore, Dan Mason, Nicola Pirastu, Ilaria Gandin, Hannele Mattsson, Catriona L K Barnes, Kuang Lin, Jing Hua Zhao, Patrick Deelen, Rebecca Rohde, Claudia Schurmann, Xiuqing Guo, Franco Giulianini, Weihua Zhang, Carolina Medina-Gomez, Robert Karlsson, Yanchun Bao, Traci M Bartz, Clemens Baumbach, Ginevra Biino, Matthew J Bixley, Marco Brumat, Jin-Fang Chai, Tanguy Corre, Diana L Cousminer, Annelot M Dekker, David A Eccles, Kristel R van Eijk, Christian Fuchsberger, He Gao, Marine Germain, Scott D Gordon, Hugoline G de Haan, Sarah E Harris, Edith Hofer, Alicia Huerta-Chagoya, Catherine Igartua, Iris E Jansen, Yucheng Jia, Tim Kacprowski, Torgny Karlsson, Marcus E Kleber, Shengchao Alfred Li, Ruifang Li-Gao, Anubha Mahajan, Koichi Matsuda, Karina Meidtner, Weihua Meng, May E Montasser, Peter J van der Most, Matthias Munz, Teresa Nutile, Teemu Palviainen, Gauri Prasad, Rashmi B Prasad, Tallapragada Divya Sri Priyanka, Federica Rizzi, Erika Salvi, Bishwa R Sapkota, Daniel Shriner, Line Skotte, Melissa C Smart, Albert Vernon Smith, Ashley van der Spek, Cassandra N Spracklen, Rona J Strawbridge, Salman M Tajuddin, Stella Trompet, Constance Turman, Niek Verweij, Clara Viberti, Lihua Wang, Helen R Warren, Robyn E Wootton, Lisa R Yanek, Jie Yao, Noha A Yousri, Wei Zhao, Adebowale A Adeyemo, Saima Afaq, Carlos Alberto Aguilar-Salinas, Masato Akiyama, Matthew L Albert, Matthew A Allison, Maris Alver, Tin Aung, Fereidoun Azizi, Amy R Bentley, Heiner Boeing, Eric Boerwinkle, Judith B Borja, Gert J de Borst, Erwin P Bottinger, Linda Broer, Harry Campbell, Stephen Chanock, Miao-Li Chee, Guanjie Chen, Yii-Der I Chen, Zhengming Chen, Yen-Feng Chiu, Massimiliano Cocca, Francis S Collins, Maria Pina Concas, Janie Corley, Giovanni Cugliari, Rob M van Dam, Anna Damulina, Maryam S Daneshpour, Felix R Day, Graciela E Delgado, Klodian Dhana, Alexander S F Doney, Marcus Dörr, Ayo P Doumatey, Nduna Dzimiri, S Sunna Ebenesersdóttir, Joshua Elliott, Paul Elliott, Ralf Ewert, Janine F Felix, Krista Fischer, Barry I Freedman, Giorgia Girotto, Anuj Goel, Martin Gögele, Mark O Goodarzi, Mariaelisa Graff, Einat Granot-Hershkovitz, Francine Grodstein, Simonetta Guarrera, Daniel F Gudbjartsson, Kamran Guity, Bjarni Gunnarsson, Yu Guo, Saskia P Hagenaars, Christopher A Haiman, Avner Halevy, Tamara B Harris, Mehdi Hedayati, David A van Heel, Makoto Hirata, Imo Höfer, Chao Agnes Hsiung, Jinyan Huang, Yi-Jen Hung, M Arfan Ikram, Anuradha Jagadeesan, Pekka Jousilahti, Yoichiro Kamatani, Masahiro Kanai, Nicola D Kerrison, Thorsten Kessler, Kay-Tee Khaw, Chiea Chuen Khor, Dominique P V de Kleijn, Woon-Puay Koh, Ivana Kolcic, Peter Kraft, Bernhard K Krämer, Zoltán Kutalik, Johanna Kuusisto, Claudia Langenberg, Lenore J Launer, Deborah A Lawlor, I-Te Lee, Wen-Jane Lee, Markus M Lerch, Liming Li, Jianjun Liu, Marie Loh, Stephanie J London, Stephanie Loomis, Yingchang Lu, Jian’an Luan, Reedik Mägi, Ani W Manichaikul, Paolo Manunta, Gísli Másson, Nana Matoba, Xue W Mei, Christa Meisinger, Thomas Meitinger, Massimo Mezzavilla, Lili Milani, Iona Y Millwood, Yukihide Momozawa, Amy Moore, Pierre-Emmanuel Morange, Hortensia Moreno-Macías, Trevor A Mori, Alanna C Morrison, Taulant Muka, Yoshinori Murakami, Alison D Murray, Renée de Mutsert, Josyf C Mychaleckyj, Mike A Nalls, Matthias Nauck, Matt J Neville, Ilja M Nolte, Ken K Ong, Lorena Orozco, Sandosh Padmanabhan, Gunnar Pálsson, James S Pankow, Cristian Pattaro, Alison Pattie, Ozren Polasek, Neil Poulter, Peter P Pramstaller, Lluis Quintana-Murci, Katri Räikkönen, Sarju Ralhan, Dabeeru C Rao, Wouter van Rheenen, Stephen S Rich, Paul M Ridker, Cornelius A Rietveld, Antonietta Robino, Frank J A van Rooij, Daniela Ruggiero, Yasaman Saba, Charumathi Sabanayagam, Maria Sabater-Lleal, Cinzia Felicita Sala, Veikko Salomaa, Kevin Sandow, Helena Schmidt, Laura J Scott, William R Scott, Bahareh Sedaghati-Khayat, Bengt Sennblad, Jessica van Setten, Peter J Sever, Wayne H-H Sheu, Yuan Shi, Smeeta Shrestha, Sharvari Rahul Shukla, Jon K Sigurdsson, Timo Tonis Sikka, Jai Rup Singh, Blair H Smith, Alena Stančáková, Alice Stanton, John M Starr, Lilja Stefansdottir, Leon Straker, Patrick Sulem, Gardar Sveinbjornsson, Morris A Swertz, Adele M Taylor, Kent D Taylor, Natalie Terzikhan, Yih-Chung Tham, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Annika Tillander, Russell P Tracy, Teresa Tusié-Luna, Ioanna Tzoulaki, Simona Vaccargiu, Jagadish Vangipurapu, Jan H Veldink, Veronique Vitart, Uwe Völker, Eero Vuoksimaa, Salma M Wakil, Melanie Waldenberger, Gurpreet S Wander, Ya Xing Wang, Nicholas J Wareham, Sarah Wild, Chittaranjan S Yajnik, Jian-Min Yuan, Lingyao Zeng, Liang Zhang, Jie Zhou, Najaf Amin, Folkert W Asselbergs, Stephan J L Bakker, Diane M Becker, Benjamin Lehne, David A Bennett, Leonard H van den Berg, Sonja I Berndt, Dwaipayan Bharadwaj, Lawrence F Bielak, Murielle Bochud, Mike Boehnke, Claude Bouchard, Jonathan P Bradfield, Jennifer A Brody, Archie Campbell, Shai Carmi, Mark J Caulfield, David Cesarini, John C Chambers, Giriraj Ratan Chandak, Ching-Yu Cheng, Marina Ciullo, Marilyn Cornelis, Daniele Cusi, George Davey Smith, Ian J Deary, Rajkumar Dorajoo, Cornelia M van Duijn, David Ellinghaus, Jeanette Erdmann, Johan G Eriksson, Evangelos Evangelou, Michele K Evans, Jessica D Faul, Bjarke Feenstra, Mary Feitosa, Sylvain Foisy, Andre Franke, Yechiel Friedlander, Paolo Gasparini, Christian Gieger, Clicerio Gonzalez, Philippe Goyette, Struan F A Grant, Lyn R Griffiths, Leif Groop, Vilmundur Gudnason, Ulf Gyllensten, Hakon Hakonarson, Anders Hamsten, Pim van der Harst, Chew-Kiat Heng, Andrew A Hicks, Hagit Hochner, Heikki Huikuri, Steven C Hunt, Vincent W V Jaddoe, Philip L De Jager, Magnus Johannesson, Åsa Johansson, Jost B Jonas, J Wouter Jukema, Juhani Junttila, Jaakko Kaprio, Sharon L. R. Kardia, Fredrik Karpe, Meena Kumari, Markku Laakso, Sander W van der Laan, Jari Lahti, Matthias Laudes, Rodney A Lea, Wolfgang Lieb, Thomas Lumley, Nicholas G Martin, Winfried März, Giuseppe Matullo, Mark I McCarthy, Sarah E Medland, Tony R Merriman, Andres Metspalu, Brian F Meyer, Karen L Mohlke, Grant W Montgomery, Dennis Mook-Kanamori, Patricia B Munroe, Kari E North, Dale R Nyholt, Jeffery R O’connell, Carole Ober, Albertine J Oldehinkel, Walter Palmas, Colin Palmer, Gerard G Pasterkamp, Etienne Patin, Craig E Pennell, Louis Perusse, Patricia A Peyser, Mario Pirastu, Tinca J. C. Polderman, David J Porteous, Danielle Posthuma, Bruce M Psaty, John D Rioux, Fernando Rivadeneira, Charles Rotimi, Jerome I Rotter, Igor Rudan, Hester M Den Ruijter, Dharambir K Sanghera, Naveed Sattar, Reinhold Schmidt, Matthias B Schulze, Heribert Schunkert, Robert A Scott, Alan R Shuldiner, Xueling Sim, Neil Small, Jennifer A Smith, Nona Sotoodehnia, E-Shyong Tai, Alexander Teumer, Nicholas J Timpson, Daniela Toniolo, David-Alexandre Tregouet, Tiinamaija Tuomi, Peter Vollenweider, Carol A Wang, David R Weir, John B Whitfield, Cisca Wijmenga, Tien-Yin Wong, John Wright, Jingyun Yang, Lei Yu, Babette S Zemel, Alan B Zonderman, Markus Perola, Patrik K. E. Magnusson, André G Uitterlinden, Jaspal S Kooner, Daniel I Chasman, Ruth J. F. Loos, Nora Franceschini, Lude Franke, Chris S Haley, Caroline Hayward, Robin G Walters, John R. B. Perry, Tōnu Esko, Agnar Helgason, Kari Stefansson, Peter K Joshi, Michiaki Kubo, and James F Wilson

Subjects
Science
Abstract

Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.

Published
2019
Full Text
View/download PDF

34. Time-to-event modeling of hypertension reveals the nonexistence of true controls

Author

Daniel Shriner, Amy R Bentley, Jie Zhou, Kenneth Ekoru, Ayo P Doumatey, Guanjie Chen, Adebowale Adeyemo, and Charles N Rotimi

Subjects
hypertension, time-to-event, health disparity, Medicine, Science, Biology (General), QH301-705.5
Abstract

Given a lifetime risk of ~90% by the ninth decade of life, it is unknown if there are true controls for hypertension in epidemiological and genetic studies. Here, we compared Bayesian logistic and time-to-event approaches to modeling hypertension. The median age at hypertension was approximately a decade earlier in African Americans than in European Americans or Mexican Americans. The probability of being free of hypertension at 85 years of age in African Americans was less than half that in European Americans or Mexican Americans. In all groups, baseline hazard rates increased until nearly 60 years of age and then decreased but did not reach zero. Taken together, modeling of the baseline hazard function of hypertension suggests that there are no true controls and that controls in logistic regression are cases with a late age of onset.

Published
2020
Full Text
View/download PDF

35. Common and rare exonic MUC5B variants associated with type 2 diabetes in Han Chinese.

Author

Guanjie Chen, Zhenjian Zhang, Sally N Adebamowo, Guozheng Liu, Adebowale Adeyemo, Yanxun Zhou, Ayo P Doumatey, Chuntao Wang, Jie Zhou, Wenqiang Yan, Daniel Shriner, Fasil Tekola-Ayele, Amy R Bentley, Congqing Jiang, and Charles N Rotimi

Subjects
Medicine, Science
Abstract

Genome-wide association studies have identified over one hundred common genetic risk variants associated with type 2 diabetes (T2D). However, most of the heritability of T2D has not been accounted for. In this study, we investigated the contribution of rare and common variants to T2D susceptibility by analyzing exome array data in 1,908 Han Chinese genotyped with Affymetrix Axiom® Exome Genotyping Arrays. Based on the joint common and rare variants analysis of 57,704 autosomal SNPs within 12,244 genes using Sequence Kernel Association Tests (SKAT), we identified significant associations between T2D and 25 variants (9 rare and 16 common) in MUC5B, p-value 1.01×10-14. This finding was replicated (p = 0.0463) in an independent sample that included 10,401 unrelated individuals. Sixty-six of 1,553 possible haplotypes based on 25 SNPs within MUC5B showed significant association with T2D (Bonferroni corrected p values < 3.2×10-5). The expression level of MUC5B is significantly higher in pancreatic tissues of persons with T2D compared to those without T2D (p-value = 5×10-5). Our findings suggest that dysregulated MUC5B expression may be involved in the pathogenesis of T2D. As a strong candidate gene for T2D, MUC5B may play an important role in the mechanisms underlying T2D etiology and its complications.

Published
2017
Full Text
View/download PDF

36. Gene-based sequencing identifies lipid-influencing variants with ethnicity-specific effects in African Americans.

Author

Amy R Bentley, Guanjie Chen, Daniel Shriner, Ayo P Doumatey, Jie Zhou, Hanxia Huang, James C Mullikin, Robert W Blakesley, Nancy F Hansen, Gerard G Bouffard, Praveen F Cherukuri, Baishali Maskeri, Alice C Young, Adebowale Adeyemo, and Charles N Rotimi

Subjects
Genetics, QH426-470
Abstract

Although a considerable proportion of serum lipids loci identified in European ancestry individuals (EA) replicate in African Americans (AA), interethnic differences in the distribution of serum lipids suggest that some genetic determinants differ by ethnicity. We conducted a comprehensive evaluation of five lipid candidate genes to identify variants with ethnicity-specific effects. We sequenced ABCA1, LCAT, LPL, PON1, and SERPINE1 in 48 AA individuals with extreme serum lipid concentrations (high HDLC/low TG or low HDLC/high TG). Identified variants were genotyped in the full population-based sample of AA (n = 1694) and tested for an association with serum lipids. rs328 (LPL) and correlated variants were associated with higher HDLC and lower TG. Interestingly, a stronger effect was observed on a "European" vs. "African" genetic background at this locus. To investigate this effect, we evaluated the region among West Africans (WA). For TG, the effect size among WA was the same in AA with only African local ancestry (2-3% lower TG), while the larger association among AA with local European ancestry matched previous reports in EA (10%). For HDLC, there was no association with rs328 in AA with only African local ancestry or in WA, while the association among AA with European local ancestry was much greater than what has been observed for EA (15 vs. ∼ 5 mg/dl), suggesting an interaction with an environmental or genetic factor that differs by ethnicity. Beyond this ancestry effect, the importance of African ancestry-focused, sequence-based work was also highlighted by serum lipid associations of variants that were in higher frequency (or present only) among those of African ancestry. By beginning our study with the sequence variation present in AA individuals, investigating local ancestry effects, and seeking replication in WA, we were able to comprehensively evaluate the role of a set of candidate genes in serum lipids in AA.

Published
2014
Full Text
View/download PDF

37. Multiple loci associated with renal function in African Americans.

Author

Daniel Shriner, Alan Herbert, Ayo P Doumatey, Jie Zhou, Hanxia Huang, Michael R Erdos, Guanjie Chen, Norman P Gerry, Michael F Christman, Adebowale Adeyemo, and Charles N Rotimi

Subjects
Medicine, Science
Abstract

The incidence of chronic kidney disease varies by ethnic group in the USA, with African Americans displaying a two-fold higher rate than European Americans. One of the two defining variables underlying staging of chronic kidney disease is the glomerular filtration rate. Meta-analysis in individuals of European ancestry has identified 23 genetic loci associated with the estimated glomerular filtration rate (eGFR). We conducted a follow-up study of these 23 genetic loci using a population-based sample of 1,018 unrelated admixed African Americans. We included in our follow-up study two variants in APOL1 associated with end-stage kidney disease discovered by admixture mapping in admixed African Americans. To address confounding due to admixture, we estimated local ancestry at each marker and global ancestry. We performed regression analysis stratified by local ancestry and combined the resulting regression estimates across ancestry strata using an inverse variance-weighted fixed effects model. We found that 11 of the 24 loci were significantly associated with eGFR in our sample. The effect size estimates were not significantly different between the subgroups of individuals with two copies of African ancestry vs. two copies of European ancestry for any of the 11 loci. In contrast, allele frequencies were significantly different at 10 of the 11 loci. Collectively, the 11 loci, including four secondary signals revealed by conditional analyses, explained 14.2% of the phenotypic variance in eGFR, in contrast to the 1.4% explained by the 24 loci in individuals of European ancestry. Our findings provide insight into the genetic basis of variation in renal function among admixed African Americans.

Published
2012
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results