Medicine

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Development and validation of a cardiovascular risk prediction model for Sri Lankans using machine learning.
(Public Library of Science, 2024-10) Mettananda, C.; Sanjeewa, I.; Arachchi, T.B.; Wijesooriya, A.; Chandrasena, C.; Weerasinghe, T.; Solangaarachchige, M.; Ranasinghe, A.; Elpitiya, I.; Sammandapperuma, R.; Kurukulasooriya, S.; Ranawaka, U.; Pathmeswaran, A.; Kasturiratne, A.; Kato, N.; Wickramasinghe, R.; Haddela, P.; De Silva, J.
INTRODUCTION AND OBJECTIVES Sri Lankans do not have a specific cardiovascular (CV) risk prediction model and therefore, World Health Organization(WHO) risk charts developed for the Southeast Asia Region are being used. We aimed to develop a CV risk prediction model specific for Sri Lankans using machine learning (ML) of data of a population-based, randomly selected cohort of Sri Lankans followed up for 10 years and to validate it in an external cohort.MATERIAL AND METHODS The cohort consisted of 2596 individuals between 40-65 years of age in 2007, who were followed up for 10 years. Of them, 179 developed hard CV diseases (CVD) by 2017. We developed three CV risk prediction models named model 1, 2 and 3 using ML. We compared predictive performances between models and the WHO risk charts using receiver operating characteristic curves (ROC). The most predictive and practical model for use in primary care, model 3 was named "SLCVD score" which used age, sex, smoking status, systolic blood pressure, history of diabetes, and total cholesterol level in the calculation. We developed an online platform to calculate the SLCVD score. Predictions of SLCVD score were validated in an external hospital-based cohort.RESULTS Model 1, 2, SLCVD score and the WHO risk charts predicted 173, 162, 169 and 10 of 179 observed events and the area under the ROC (AUC) were 0.98, 0.98, 0.98 and 0.52 respectively. During external validation, the SLCVD score and WHO risk charts predicted 56 and 18 respectively of 119 total events and AUCs were 0.64 and 0.54 respectively.CONCLUSIONS SLCVD score is the first and only CV risk prediction model specific for Sri Lankans. It predicts the 10-year risk of developing a hard CVD in Sri Lankans. SLCVD score was more effective in predicting Sri Lankans at high CV risk than WHO risk charts.
Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci
(Frontiers Research Foundation, 2023) de Las, F.L.; Schwande, K.L.; Brown, M.R.; Bentley, A.R.; Winkler, T.W.; Sung, Y.J.; Munroe, P.B.; Miller, C.L.; Aschard, H.; Aslibekyan, S.; Bartz, T.M.; Bielak, L.F.; Chai, J.F.; Cheng, C.Y.; Dorajoo, R.; Feitosa, M.F.; Guo, X.; Hartwig, F.P.; Horimoto, A.; Kolčić, I.; Lim, E.; Liu, Y.; Manning, A.K.; Marten, J.; Musani, S.K.; Noordam, R.; Padmanabhan, S.; Rankinen, T.; Richard, M.A.; Ridker, P.M.; Smith, A.V.; Vojinovic, D.; Zonderman, A.B.; Alver, M.; Boissel, M.; Christensen, K.; Freedman, B.I.; Gao, C.; Giulianini, F.; Harris, S.E.; He, M.; Hsu, F.C.; Kühnel, B.; Laguzzi, F.; Li, X.; Lyytikäinen, L.P.; Nolte, I.M.; Poveda, A.; Rauramaa, R.; Riaz, M.; Robino, A.; Sofer, T.; Takeuchi, F.; Tayo, B.O.; van der, M.P.J.; Verweij, N.; Ware, E.B.; Weiss, S.; Wen, W.; Yanek, L.R.; Zhan, Y.; Amin, N.; Arking, D.E.; Ballantyne, C.; Boerwinkle, E.; Brody, J.A.; Broeckel, U.; Campbell, A.; Canouil, M.; Chai, X.; Chen, Y.I.; Chen, X.; Chitrala, K.N.; Concas, M.P.; de Faire, U.; de Mutsert, R.; de Silva, H.J.; de Vries, P.S.; Do, A.; Faul, J.D.; Fisher, V.; Floyd, J.S.; Forrester, T.; Friedlander, Y.; Girotto, G.; Gu, C.C.; Hallmans, G.; Heikkinen, S.; Heng, C.K.; Homuth, G.; Hunt, S.; Ikram, M.A.; Jacobs, D.R.J.R.; Kavousi, M.; Khor, C.C.; Kilpeläinen, T.O.; Koh, W.P.; Komulainen, P.; Langefeld, C.D.; Liang, J.; Liu, K.; Liu, J.; Lohman, K.; Mägi, R.; Manichaikul, A.W.; McKenzie, C.A.; Meitinger, T.; Milaneschi, Y.; Nauck, M.; Nelson, C.P.; O'Connell, J.R.; Palmer, N.D.; Pereira, A.C.; Perls, T.; Peters, A.; Polašek, O.; Raitakari, O.T.; Rice, K.; Rice, T.K.; Rich, S.S.; Sabanayagam, C.; Schreiner, P.J.; Shu, X.; Sidney, S.; Sims, M.; Smith, J.A.; Starr, J.M.; Strauch, K.; Tai, E.S.; Taylor, K.D.; Tsai, M.Y.; Uitterlinden, A.G.; Heemst, D.V.; Waldenberger, M.; Wang, Y.; Wei, W.; Wilson, G.; Xuan, D.; Yao, J.; Yu, C.; Yuan, J.; Zhao, W.; Becker, D.M.; Bonnefond, A.; Bowden, D.W.; Cooper, R.S.; Deary, I.J.; Divers, J.; Esko, T.; Franks, P.W.; Froguel, P.; Gieger, C.; Jonas, J.B.; Kato, N.; Lakka, T.A.; Leander, K.; Lehtimäki, T.; Magnusson, P.K.E.; North, K.E.; Ntalla, I.; Penninx, B.; Samani, N.J.; Snieder, H.; Spedicati, B.; Harst, P.V.D.; Völzke, H.; Wagenknecht, L.E.; Weir, D.R.; Wojczynski, M.K.; Wu, T.; Zheng, W.; Zhu, X.; Bouchard, C.; Chasman, D.I.; Evans, M.K.; Fox, E.R.; Gudnason, V.; Hayward, C.; Horta, B.L.; Kardia, S.L.R.; Krieger, J.E.; Mook-Kanamori, D.O.; Peyser, P.A.; Province, M.M.; Psaty, B.M.; Rudan, I.; Sim, X.; Smith, B.H.; Dam, R.M.V.; Duijn, C.M.V.; Wong, T.Y.; Arnett, D.K.; Rao, D.C.; Gauderman, J.; Liu, C.; Morrison, A.C.; Rotter, J.I.; Fornage, M.
INTRODUCTION: Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes. METHODS: A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: "Some College" (yes/no, for any education beyond high school) and "Graduated College" (yes/no, for completing a 4-year college degree). Genome-wide significant (p < 5 × 10-8) and suggestive (p < 1 × 10-6) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals). RESULTS: In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose (FOXP1, MBOAT4, SKP2, STIM1, STX4), brain (BRI3, FILIP1, FOXP1, LINC00290, LMTK2, MBOAT4, MYO6, SENP6, SRGAP3, STIM1, TMEM167A, TMEM30A), and liver (BRI3, FOXP1) biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue. DISCUSSION: Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects.
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
(BioMed Central Ltd, 2022) Kanoni, S.; Graham, S.E.; Wang, Y.; Surakka, I.; Ramdas, S.; Zhu, X.; Clarke, S.L.; Bhatti, K.F.; Vedantam, S.; Winkler, T.W.; Locke, A.E.; Marouli, E.; Zajac, G.J.M.; Wu, K.H.; Ntalla, I.; Hui, Q.; Klarin, D.; Hilliard, A.T.; Wang, Z.; Xue, C.; Thorleifsson, G.; Helgadottir, A.; Gudbjartsson, D.F.; Holm, H.; Olafsson, I.; Hwang, M.Y.; Han, S.; Akiyama, M.; Sakaue, S.; Terao, C.; Kanai, M.; Zhou, W.; Brumpton, B.M.; Rasheed, H.; Havulinna, A.S.; Veturi, Y.; Pacheco, J.A.; Rosenthal, E.A.; Lingren, T.; Feng, Q.; Kullo, I.J.; Narita, A.; Takayama, J.; Martin, H.C.; Hunt, K.A.; Trivedi, B.; Haessler, J.; Giulianini, F.; Bradford, Y.; Miller, J.E.; Campbell, A.; Lin, K.; Lin, K.; Millwood, I.Y.; Rasheed, A.; Hindy, G.; Faul, J.D.; Zhao, W.; Weir, D.R.; Turman, C.; Huang, H.; Graff, M.; Choudhury, A.; Sengupta, D.; Mahajan, A.; Brown, M.R.; Zhang, W.; Yu, K.; Schmidt, E.M.; Pandit, A.; Gustafsson, S.; Yin, X.; Luan, J.; Zhao, J.H.; Matsuda, F.; Jang, H.M.; Yoon, K.; Medina-Gomez, C.; Pitsillides, A.; Hottenga, J.J.; Wood, A.R.; Ji, Y.; Gao, Z.; Haworth, S.; Yousri, N.A.; Mitchell, R.E.; Chai, J.F.; Aadahl, M.; Bjerregaard, A.A.; Yao, J.; Manichaikul, A.; Hwu, C.M.; Hung, Y.J.; Warren, H.R.; Ramirez, J.; Bork-Jensen, J.; Kårhus, L.L.; Goel, A.; Sabater-Lleal, M.; Noordam, R.; Mauro, P.; Matteo, F.; McDaid, A.F.; Marques-Vidal, P.; Wielscher, M.; Trompet, S.; Sattar, N.; Møllehave, L.T.; Munz, M.; Zeng, L.; Huang, J.; Yang, B.; Poveda, A.; Kurbasic, A.; Lamina, C.; Forer, L.; Scholz, M.; Galesloot, T.E.; Bradfield, J.P.; Ruotsalainen, S.E.; Daw, E.; Zmuda, J.M.; Mitchell, J.S.; Fuchsberger, C.; Christensen, H.; Brody, J.A.; Vazquez-Moreno, M.; Feitosa, M.F.; Wojczynski, M.K.; Wang, Z.; Preuss, M.H.; Mangino, M.; Christofidou, P.; Verweij, N.; Benjamins, J.W.; Engmann, J.; Tsao, N.L.; Verma, A.; Slieker, R.C.; Lo, K.S.; Zilhao, N.R.; Le, P.; Kleber, M.E.; Delgado, G.E.; Huo, S.; Ikeda, D.D.; Iha, H.; Yang, J.; Liu, J.; Demirkan, A.; Leonard, H.L.; Marten, J.; Frank, M.; Schmidt, B.; Smyth, L.J.; Cañadas-Garre, M.; Wang, C.; Nakatochi, M.; Wong, A.; Hutri-Kähönen, N.; Lyssenko, V.; Fernandez-Lopez, J.C.; Huerta-Chagoya, A.; Xia, R.; Sim, X.; Nongmaithem, S.S.; Bayyana, S.; Stringham, H.M.; Irvin, M.R.; Oldmeadow, C.; Kim, H.N.; Ryu, S.; Timmers, P,R,H,J,; Arbeeva, L.; Dorajoo, R.; Lange, L.A.; Prasad, G.; Lorés-Motta, L.; Pauper, M.; Long, J.; Li, X.; Theusch, E.; Takeuchi, F.; Spracklen, C.N.; Loukola, A.; Bollepalli, S.; Warner, S.C.; Wang, Y.X.; Wei, W.B.; Nutile, T.; Ruggiero, D.; Sung, Y.J.; Chen, S.; Liu, F.; Yang, J.; Kentistou, K.A.; Banas, B.; Nardone, G.G.; Meidtner, K.; Bielak, L.F.; Smith, J.A.; Hebbar, P.; Farmaki, A.E.; Hofer, E.; Lin, M.; Concas, M.P.; Vaccargiu, S.; van der Most, P.J.; Pitkänen, N.; Cade, B.E.; van der Laan, S.W.; Chitrala, K.N.; Weiss, S.; Bentley, A.R.; Doumatey, A.P.; Adeyemo, A.A.; Lee, J.Y.; Petersen, E.R.B.; Nielsen, A.A.; Choi, H.S.; Nethander, M.; Freitag-Wolf, S.; Southam, L.; Rayner, N.W.; Wang, C.A.; Lin, S.Y.; Wang, J.S.; Couture, C.; Lyytikäinen, L.P.; Nikus, K.; Cuellar-Partida, G.; Vestergaard, H.; Hidalgo, B.; Giannakopoulou, O.; Cai, Q.; Obura, M.O.; van Setten, J.; Li, X.; Liang, J.; Tang, H.; Terzikhan, N.; Shin, J.H.; Jackson, R.D.; Reiner, A.P.; Martin, L.W.; Chen, Z.; Li, L.; Kawaguchi, T.; Thiery, J.; Bis, J.C.; Launer, L.J.; Li, H.; Nalls, M.A.; Raitakari, O.T.; Ichihara, S.; Wild, S.H.; Nelson, C.P.; Campbell, H.; Jäger, S.; Nabika, T.; Al-Mulla, F.; Niinikoski, H.; Braund, P.S.; Kolcic, I.; Kovacs, P.; Giardoglou, T.; Katsuya, T.; de Kleijn, D.; de Borst, G.J.; Kim, E.K.; Adams, H.H.H.; Ikram, M.A.; Zhu, X.; Asselbergs, F.W.; Kraaijeveld, A.O.; Beulens, J.W.J.; Shu, X.O.; Rallidis, L.S.; Pedersen, O.; Hansen, T.; Mitchell, P.; Hewitt, A.W.; Kähönen, M.; Pérusse, L.; Bouchard, C.; Tönjes, A.; Chen, Y.I.; Pennell, C.E.; Mori, T.A.; Lieb, W.; Franke, A.; Ohlsson, C.; Mellström, D.; Cho, Y.S.; Lee, H.; Yuan, J.M.; Koh, W.P.; Rhee, S.Y.; Woo, J.T.; Heid, I.M.; Stark, K.J.; Zimmermann, M.E.; Völzke, H.; Homuth, G.; Evans, M.K.; Zonderman, A.B.; Polasek, O.; Pasterkamp, G.; Hoefer, I.E.; Redline, S.; Pahkala, K.; Oldehinkel, A.J.; Snieder, H.; Biino, G.; Schmidt, R.; Schmidt, H.; Bandinelli, S.; Dedoussis, G.; Thanaraj, T.A.; Kardia, S.L.R.; Peyser, P.A.; Kato, N.; Schulze, M.B.; Girotto, G.; Böger, C.A.; Jung, B.; Joshi, P.K.; Bennett, D.A.; de Jager, P.L.; Lu, X.; Mamakou, V.; Brown, M.; Caulfield, M.J.; Munroe, P.B.; Guo, X.; Ciullo, M.; Jonas, J.B.; Samani, N.J.; Kaprio, J.; Pajukanta, P.; Tusié-Luna, T.; Aguilar-Salinas, C.A.; Adair, L.S.; Bechayda, S.A.; de Silva, H.J.; Wickremasinghe, A.R.; Krauss, R.M.; Wu, J.Y.; Zheng, W.; Hollander, A.I.; Bharadwaj, D.; Correa, A.; Wilson, J.G.; Lind, L.; Heng, C.K.; Nelson, A.E.; Golightly, Y.M.; Wilson, J.F.; Penninx, B.; Kim, H.L.; Attia, J.; Scott, R.J.; Rao, D.C.; Arnett, D.K.; Hunt, S.C.; Walker, M.; Koistinen, H.A.; Chandak, G.R.; Mercader, J.M.; Costanzo, M.C.; Jang, D.; Burtt, N.P.; Villalpando, C.G.; Orozco, L.; Fornage, M.; Tai, E.; van Dam, R.M.; Lehtimäki, T.; Chaturvedi, N.; Yokota, M.; Liu, J.; Reilly, D.F.; McKnight, A.J.; Kee, F.; Jöckel, K.H.; McCarthy, M.I.; Palmer, C.N.A.; Vitart, V.; Hayward, C.; Simonsick, E.; van Duijn, C.M.; Jin, Z.B.; Qu, J.; Hishigaki, H.; Lin, X.; März, W.; Gudnason, V.; Tardif, J.C.; Lettre, G.; Hart, L.M.; Elders, P.J.M.; Damrauer, S.M.; Kumari, M.; Kivimaki, M.; van der Harst, P.; Spector, T.D.; Loos, R.J.F.; Province, M.A.; Parra, E.J.; Cruz, M.; Psaty, B.M.; Brandslund, I.; Pramstaller, P.P.; Rotimi, C.N.; Christensen, K.; Ripatti, S.; Widén, E.; Hakonarson, H.; Grant, S.F.A.; Kiemeney, L.A.L.M.; de Graaf, J.; Loeffler, M.; Kronenberg, F.; Gu, D.; Erdmann, J.; Schunkert, H.; Franks, P.W.; Linneberg, A.; Jukema, J.W.; Khera, A.V.; Männikkö, M.; Jarvelin, M.R.; Kutalik, Z.; Francesco, C.; Mook-Kanamori, D.O.; van Dijk, K.W.; Watkins, H.; Strachan, D.P.; Grarup, N.; Sever, P.; Poulter, N.; Chuang, L.M.; Rotter, J.I.; Dantoft, T.M.; Karpe, F.; Neville, M.J.; Timpson, N.J.; Cheng, C.Y.; Wong, T.Y.; Khor, C.C.; Li, H.; Sabanayagam, C.; Sabanayagam, C.; Peters, A.; Gieger, C.; Hattersley, A.T.; Pedersen, N.L.; Magnusson, P.K.E.; Boomsma, D.I.; Willemsen, A.H.M.; Cupples, L.; van Meurs, J.B.J.; Ghanbari, M.; Gordon-Larsen, P.; Huang, W.; Kim, Y.J.; Tabara, Y.; Wareham, N.J.; Langenberg, C.; Zeggini, E.; Kuusisto, J.; Laakso, M.; Ingelsson, E.; Abecasis, G.; Chambers, J.C.; Kooner, J.S.; de Vries, P.S.; Morrison, A.C.; Hazelhurst, S.; Ramsay, M.; North, K.E.; Daviglus, M.; Kraft, P.; Martin, N.G.; Whitfield, J.B.; Abbas, S.; Saleheen, D.; Walters, R.G.; Holmes, M.V.; Black, C.; Smith, B.H.; Baras, A.; Justice, A.E.; Buring, J.E.; Ridker, P.M.; Chasman, D.I.; Kooperberg, C.; Tamiya, G.; Yamamoto, M.; van Heel, D.A.; Trembath, R.C.; Wei, W.Q.; Jarvik, G.P.; Namjou, B.; Hayes, M.G.; Ritchie, M.D.; Jousilahti, P.; Salomaa, V.; Hveem, K.; Åsvold, B.O.; Kubo, M.; Kamatani, Y.; Okada, Y.; Murakami, Y.; Kim, B.J.; Thorsteinsdottir, U.; Stefansson, K.; Zhang, J.; Chen, Y.; Ho, Y.L.; Lynch, J.A.; Rader, D.J.; Tsao, P.S.; Chang, K.M.; Cho, K.; O'Donnell, C.J.; Gaziano, J.M.; Wilson P.W.F.; Frayling, T.M.; Hirschhorn, J.N.; Kathiresan, S.; Mohlke, K.L.; Sun, Y.V.; Morris, A.P.; Boehnke, M.; Brown, C.D.; Natarajan, P.; Deloukas, P.; Willer, C.J.; Assimes, T.L.; Peloso, G.M.
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.
A saturated map of common genetic variants associated with human height
(Nature Publishing Group, 2022) Vedantam, S.; Marouli, E.; Sidorenko, J.; Bartell, E.; Sakaue, S.; Graff, M.; Eliasen, A.U.; Jiang, Y.; Raghavan, S.; Miao, J.; Arias, J.D.; Graham, S.E.; Mukamel, R.E.; Spracklen, C.N.; Yin, X.; Chen, S.H.; Ferreira, T.; Highland, H.H.; Ji, Y.; Karaderi. T,; Lin, K.; Lüll, K.; Malden, D.E.; Medina-Gomez, C.; Machado, M.; Moore, A.; Rüeger, S.; Sim. X,; Vrieze, S.; Ahluwalia, T.S.; Akiyama, M.; Allison, M.A.; Alvarez, M.; Andersen, M.K.; Ani, A.; Appadurai, V.; Arbeeva, L.; Bhaskar, S.; Bielak, L.F.; Bollepalli, S.; Bonnycastle, L.L.; Bork-Jensen, J.; Bradfield, J.P.; Bradford, Y.; Braund, P.S.; Brody, J.A.; Burgdorf, K.S.; Cade, B.E.; Cai, H.; Cai, Q.; Campbell, A.; Cañadas-Garre, M.; Catamo, E.; Chai, J.F.; Chai, X.; Chang, L.C.; Chen, C.H.; Chesi, A.; Choi, S.H.; Chung, R.H.; Cocca, M.; Concas, M.P.; Couture, C.; Cuellar-Partida, G.; Danning, R.; Daw, E.W.; Degenhard, F.; Delgado, G.E.; Delitala, A.; Demirkan, A.; Deng, X.; Devineni, P.; Dietl, A.; Dimitriou, M.; Dimitrov, L.; Dorajoo, R.; Ekici, A.B.; Engmann, J.E.; Fairhurst-Hunter, Z.; Farmaki, A.E.; Faul, J.D.; Fernandez-Lopez, J.C.; Forer, L.; Francescatto, M.; Freitag-Wolf, S.; Fuchsberger, C.; Galesloot, T.E.; Gao, Y.; Gao, Z.; Geller, F.; Giannakopoulou, O.; Giulianini,F.; Gjesing, A.P.; Goel, A.; Gordon, S.D.; Gorski, M.; Grove, J.; Guo, X.; Gustafsson, S.; Haessler, J.; Hansen, T.F.; Havulinna, A.S.; Haworth, S.J.; He, J.; Heard-Costa, N.; Hebbar, P.; Hindy, G.; Ho, Y.A.; Hofer, E.; Holliday, E.; Horn, K.; Hornsby, W.E.; Hottenga, J.J.; Huang, H.; Huang, J.; Huerta-Chagoya, A.; Huffman, J.E.; Hung, Y.J.; Huo, S.; Hwang, M.Y.; Ha, H.; Ikeda, D.D.; Isono, M.; Jackson, A.U.; Jäger, S.; Jansen, I.E.; Johansson, I.; Jonas, J.B.; Jonsson, A.; Jørgensen, T.; Kalafati, I.P.; Kanai, M.; Kanoni, S.; Kårhus, L.L.; Kasturiratne, A.; Katsuya, T.; Kawaguchi, T.; Kember, R.L.; Kentistou, K.A.; Kim, H.N.; Kim, Y.J.; Kleber, M.E.; Knol, M.J.; Kurbasic, A.; Lauzon, M.; Le, P.; Lea, R.; Lee, J.Y.; Leonard, H.L.; Li, S.A.; Li, X.; Li, X.; Liang, J.; Lin, H.; Lin, S.Y.; Liu, J.; Liu, X.; Lo, K.S.; Long, J.; Lores-Motta, L.; Luan, J.; Lyssenko, V.; Lyytikäinen, L.P.; Mahajan, A.; Mamakou, V.; Mangino, M.; Manichaikul, A.; Marten, J.,; Mattheisen, M.; Mavarani, L.; McDaid, A.F.; Meidtner, K.; Melendez, T.L.; Mercader, J.M.; Milaneschi, Y.; Miller, J.E.; Millwood, I.Y.; Mishra, P.P.; Mitchell, R.E.; Møllehave, L.T.; Morgan, A.; Mucha, S.; Munz, M.; Nakatochi, M.; Nelson, C.P.; Nethander, M.; Nho, C.W.; Nielsen, A.A.; Nolte, I.M.; Nongmaithem, S.S.; Noordam, R.; Ntalla, I.; Nutile, T.; Pandit, A.; Christofidou, P.; Pärna, K.; Pauper, M.; Petersen, E.R.B.; Petersen, L.V.; Pitkänen, N.; Polašek, O.; Poveda, A.; Preuss, M.H.; Pyarajan, S.; Raffield, L.M.; Rakugi, H.; Ramirez, J.; Rasheed, A.; Raven, D.; Rayner, N.W.; Riveros, C.; Rohde, R.; Ruggiero, D.; Ruotsalainen, S.E.; Ryan, K.A.; Sabater-Lleal, M.; Saxena, R.; Scholz, M.; Sendamarai, A.; Shen, B.; Shi, J.; Shin, J.H.; Sidore, C.; Sitlani, C.M.; Slieker, R.C.; Smit, R.A.J.; Smith, A.V.; Smith, J.A.; Smyth, L.J.; Southam, L.; Steinthorsdottir, V.; Sun, L.; Takeuchi, F.; Tallapragada, D.S.P.; Taylor, K.D.; Tayo, B.O.; Tcheandjieu, C.; Terzikhan, N.; Tesolin, P.; Teumer, A.; Theusch, E.; Thompson, D.J.; Thorleifsson, G.; Timmers, P.R.H.J.; Trompet, S.; Turman, C.; Vaccargiu, S.; van der Laan, S.W.; van der Most, P.J.; van Klinken, J.B.; van Setten, J.; Verma, S.S.; Verweij, N.; Veturi, Y.; Wang, C.A.; Wang, C.; Wang, L.; Wang, Z.; Warren, H.R.; Bin Wei, W.; Wickremasinghe, A.R.; Wielscher, M.; Wiggins, K.L.; Winsvold, B.S.; Wong, A.; Wu, Y.; Wuttke, M.; Xia, R.; Xie, T.; Yamamoto, K.; Yang, J.; Yao, J.; Young, H.; Yousri, N.A.; Yu, L.; Zeng, L.; Zhang, W.; Zhang, X.; Zhao, J.H.; Zhao. W.; Zhou, W.; Zimmermann, M.E.; Zoledziewska, M.; Adair, L.S.; Adams, H.H.H.; Aguilar-Salinas, C.A.; Al-Mulla, F.; Arnett, D.K.; Arnett, D.K.; Asselbergs, F.W.; Åsvold, B.O.; Attia, J.; Banas, B.; Bandinelli, S.; Bennett D.A.; Bergler, T.; Bharadwaj, D.; Biino, G.; Bisgaard, H.; Boerwinkle, E.; Böger, C.A.; Bønnelykke, K.; Boomsma, D.I.; Børglum, A.D.; Borja, J.B.; Bouchard, C.; Bowden, D.W.; Brandslund, I.; Brumpton, B.; Buring, J.E.; Caulfield, M.J.; Chambers, J.C.; Chandak, G.R.; Chanock, S.J.; Chaturvedi, N.; Chen, Y.I.; Chen, Z.; Cheng, C.Y.; Christophersen, I.E.; Ciullo, M.; Cole, J.W.; Collins, F.S.; Cooper, R.S.; Cruz, M.; Cucca, F.; Cupples, L.A.; Cutler, M.J.; Damrauer, S.M.; Dantoft, T.M.; de Borst, G.J.; de Groot, L.C.P.G.M.; de Jager, P.L.; de Kleijn, D.P.V.; de Silva, H.J.; Dedoussis, G.V.; den Hollander, A.I.; Du, S.; Easton, D.F.; Elders, P.J.M.; Eliassen, A.H.; Ellinor, P.T.; Elmståhl, S.; Erdmann, J.; Evans, M.K.; Fatkin, D.; Feenstra, B.; Feitosa, M.F.; Ferrucci, L.; Ford, I.; Fornage, M.; Franke, A.; Franks, P.W.; Freedman, B.I.; Gasparini, P.; Gieger, C.; Girotto, G.; Goddard, M.E.; Golightly, Y.M.; Gonzalez-Villalpando. C.; Gordon-Larsen, P.; Grallert, H.; Grant, S.F.A.; Grarup, N.; Griffiths, L.; Gudnason, V.; Haiman, C.; Hakonarson, H.; Hansen, T.; Hartman, C.A.; Hattersley, A.T.; Hayward, C.; Heckbert, S.R.; Heng, C.K.; Hengstenberg, C.; Hewitt, A.W.; Hishigaki, H.; Hoyng, C.B.; Huang, P.L.; Huang, W.; Hunt, S.C.; Hveem, K.; Hyppönen, E.; Iacono, W.G.; Ichihara, S.; Ikram, M.A.; Isasi, C.R.; Jackson, R.D.; Jarvelin, M.R.; Jin, Z.B.; Jöckel, K.H.; Joshi, P.K.; Jousilahti, P.; Jukema, J.W.; Kähönen, M.; Kamatani, Y.; Kang, K.D.; Kaprio, J.; Kardia, S.L.R.; Karpe, F.; Kato, N.; Kee, F.; Kessler, T.; Khera, A.V.; Khor, C.C.; Kiemeney, L.A.L.M.; Kim, B.J.; Kim, E.K.; Kim, H.L.; Kirchhof, P.; Kivimaki, M.; Koh, W.P.; Koistinen, H.A.; Kolovou, G.D.; Kooner, J.S.; Kooperberg, C.; Köttgen, A.; Kovacs, P.; Kraaijeveld, A.; Kraft, P.; Krauss, R.M.; Kumari, M.; Kutalik, Z.; Laakso, M.; Lange, L.A.; Langenberg, C.; Launer, L.J.; Le Marchand, L.; Lee, H.; Lee, N.R.; Lehtimäki, T.; Li, H.; Li, L.; Lieb, W.; Lin, X.; Lind, L.; Linneberg, A.; Liu, C.T.; Liu, J.; Loeffler, M.; London, B.; Lubitz, S.A.; Lye, S.J.; Mackey, D.A.; Mägi, R.; Magnusson, P.K.E.; Marcus, G.M.; Vidal, P.M.; Martin, N.G.; Martin, N.G.; Lieb, W.; Lin, X.; Lind, L.; Linneberg, A.; Liu, C.T.; Liu, J.; Loeffler, M.; London, B.; Lubitz, S.A.; Lye, S.J.; Mackey, D.A.; Mägi, R.; Mägi, R.; Magnusson, P.K.E.; Marcus, G.M.; Vidal, P.M.; Martin, N.G.; März, W.; Matsuda, F.; McGarrah, R.W.; McGue, M.; McKnight, A.J.; Medland, S.E.; Mellström, D.; Metspalu, A.; Mitchell, B.D.; Mitchell, P.; Mook-Kanamori, D.O.; Morris, A.D.; Mucci, L.A.; Munroe, P.B.; Nalls, M.A.; Nazarian, S.; Nelson, A.E.; Neville, M.J.; Newton-Cheh, C.; Nielsen, C.S.; Nöthen, M.M.; Ohlsson, C.; Oldehinkel, A.J.; Oldehinkel, A.J.; Orozco, L.; Pahkala, K.; Pajukanta, P.; Palmer, C.N.A.; Parra, E.J.; Pattaro, C.; Pedersen, O.; Pennell, C.E.; Penninx, B.W.J.H.; Perusse, L.; Peters, A.; Peyser, P.A.; Porteous, D.J.; Posthuma, D.; Power, C.; Pramstaller, P.P.; Province, M.A.; Qi, Q.; Qu, J.; Rader, D.J.; Raitakari, O.T.; Ralhan, S.; Rallidis, L.S.; Rao, D.C.; Redline, S.; Reilly, D.F.; Reiner, A.P.; Rhee, S.Y.; Ridker, P.M.; Rienstra, M.; Ripatti, S.; Ritchie, M.D.; Roden, D.M.; Rosendaal, F.R.; Rotter, J.I.; Rudan, I.; Rutters, F.; Sabanayagam, C.; Saleheen, D.; Salomaa, V.; Samani, N.J.; Sanghera, D.K.; Sattar, N.; Schmidt, B.; Schmidt, H.; Schmidt, R.; Schulze, M.B.; Schunkert, H.; Scott, L.J.; Scott, R.J.; Sever, P.; Shiroma, E.J.; Shoemaker, M.B.; Shu, X.O.; Simonsick, E.M.; Sims, M.; Singh, J.R.; Singleton, A.B.; Sinner, M.F.; Smith, J.G.; Snieder, H.; Spector, T.D.; Stampfer, M.J.; Stark, K.J.; Strachan, D.P.; 't Hart, L.M.; Tabara, Y.; Tang, H.; Tardif, J.C.; Thanaraj, T.A.; Timpson, N.J.; Tönjes, A.; Tremblay, A.; Tuomi, T.; Tuomilehto, J.; Tusié-Luna, M.T.; Uitterlinden, A.G.; van Dam, R.M.; van der Harst, P.; Van der Velde, N.; van Duijn, C.M.; van Schoor, N.M.; Vitart, V.; Völker, U.; Vollenweider, P.; Völzke, H.; Wacher-Rodarte, N.H.; Walker, M.; Wang, Y.X.; Wareham, N.J.; Watanabe, R.M.; Watkins, H.; Weir, D.R.; Werge, T.M.; Widen, E.; Wilkens, L.R.; Willemsen, G.; Willett, W.C.; Wilson, J.F.; Wong, T.Y.; Woo, J.T.; Wright, A.F.; Wu, J.Y.; Xu, H.; Yajnik, C.S.; Yokota, M.; Yuan, J.M.; Zeggini, E.; Zemel, B.S.; Zheng, W.; Zhu, X.; Zmuda, J.M.; Zonderman, A.B.; Zwart, J.A.; 23andMe Research Team; VA Million Veteran Program.; DiscovEHR (DiscovEHR and MyCode Community Health Initiative).; eMERGE (Electronic Medical Records and Genomics Network).; Lifelines Cohort Study.; PRACTICAL Consortium.; Understanding Society Scientific Group.; Chasman, D.I.; Cho, Y.S.; Heid, I.M.; McCarthy, M.I.; Ng, M.C.Y.; O'Donnell, C.J.; Rivadeneira, F.; Thorsteinsdottir, U.; Sun, Y.V.; Tai, E.S.; Boehnke, M.; Deloukas, P.; Justice, A.E.; Lindgren, C.M.; Loos, R.J.F.; Mohlke, K.L.; North, K.E.; Stefansson, K.; Walters R.G.v.; Winkler, T.W.; Young, K.L.; Loh, P.R.; Yang, J.; Esko, T.; Assimes, T.L.; Auton, A.; Abecasis, G.R.; Willer, C.J.; Locke, A.E.; Berndt, S.I.; Lettre, G.; Frayling, T.M.; Frayling, T.M.; Okada, Y.; Wood, A.R.; Visscher, P.M.; Hirschhorn, J.N.
Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel2) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries.
Alcohol use and alcoholic fatty liver disease: a prospective, communitybased study among adults in an urban community in Sri Lanka
(The Sri Lanka Medical Association, 2022) Niriella, M.A.; Kasturiratne, A.; Beddage, T.; de Silva, S.T.; Dassanayake, A.S.; Pathmeswaran, A.; Wickremasinghe, A.R.; Kato, N.; de Silva, H.J.
Background: Data on alcoholic fatty liver (AFL) is limited. Therefore, we investigated alcohol use and AFL in a cohort of adults in an urban community in Sri Lanka. Methods: The study population (selected by age-stratified random sampling) was screened in 2007 (35-64 years) and re-evaluated in 2014. They were assessed by structured interviews, anthropometric measurements, liver-ultrasound, and biochemical and serological tests. AFL was diagnosed on ultrasound criteria, ‘unsafe’ alcohol consumption (Asian standards: males>14 units, females >7 units per week) and absence of hepatitis B/C markers. Controls were unsafe alcohol consumers who had no fatty liver on ultrasound. Results: 2985/3012 (99%) had complete data for analysis. 272/2985 (9.1%) were unsafe-drinkers in 2007 [males-270; mean-age-51.9, SD-8.0 years]. 86/272 (31.6%) had AFL [males-85; mean-age-50.2, SD-8.6 years]. Male gender [p<0.001], increased waist circumference (WC) [OR 4.9, p<0.01], BMI>23kg/m2 [OR 3.5, p<0.01] and raised alanine aminotransferase (ALT) [OR 2.8, p<0.01] were independently associated with AFL. 173/272 (63.6%) unsafe alcohol consumers from 2007 were re-evaluated in 2014. 134/173 had either had AFL or had changed to ‘safe’ or no alcohol consumption. 21/39 (53.8%) [males-21 (100%), meanage- 57.9, SD-7.9 years] who remained ‘unsafe’ alcohol users who had no fatty liver in 2007 developed AFL after 7-years (annual incidence 7.7%). On bivariate analysis, only male gender was associated with new-onset AFL. Of the 42 who had AFL at baseline but changed their drinking status from unsafe to safe or no alcohol, 6 had resolution of fatty liver in 2014. Conclusion: In this community-based study among adults from an urban community, unsafe alcohol use was found in 9.1%. Among unsafe alcohol users, the prevalence of AFL was 31.6% and the annual incidence of AFL was 7.7%. New-onset AFL was independently associated with male gender.
A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids
(American Society of Human Genetics., 2022) Ramdas, S.; Judd, J.; Graham, S.E.; Kanoni, S.; Wang, Y.; Surakka, I.; Wenz, B.; Clarke, S.L.; Chesi, A.; Wells, A.; Bhatti, K.F.; Vedantam, S.; Winkler, T.W.; Locke, A.E.; Marouli, E.; Zajac, G.J.M.; Wu, K.H.; Ntalla, I.; Hui, Q.; Klarin, D.; Hilliard, A.T.; Wang, Z.; Xue, C.; Thorleifsson, G.; Helgadottir, A.; Gudbjartsson, D.F.; Holm, H.; Olafsson, I.; Hwang, M.Y.; Han, S.; Akiyama, M.; Sakaue, S.; Terao, C.; Kanai, M.; Zhou, W.; Brumpton, B.M.; Rasheed, H.; Havulinna, A.S.; Veturi, Y.; Pacheco, J.A.; Rosenthal, E.A.; Lingren, T.; Feng, Q.; Kullo, I.J.; Narita, A.; Takayama, J.; Martin, H.C.; Hunt, K.A.; Trivedi, B.; Haessler, J.; Giulianini, F.; Bradford, Y.; Miller, J.E.; Campbell, A.; Lin, K.; Millwood, I.Y.; Rasheed, A.; Hindy, G.; Faul, J.D.; Zhao, W.; Weir, D.R.; Turman, C.; Huang, H.; Graff, M.; Choudhury, A.; Sengupta, D.; Mahajan, A.; Brown, M.R.; Zhang, W.; Yu, K.; Schmidt, E.M.; Pandit, A.; Gustafsson, S.; Yin, X.; Luan, J.; Zhao, J.H.; Matsuda, F.; Jang, H.M.; Yoon, K.; Gomez, C.M.; Pitsillides, A.; Hottenga, J.J.; Wood, A.R.; Ji, Y.; Gao, Z.; Haworth, S.; Mitchell, R.E.; Chai, J.F.; Aadahl, M.; Bjerregaard, A.A.; Yao, J.; Manichaikul, A.; JaneLee, W.; Hsiung, C.A.; Warren, H.R.; Ramirez, J.; Jensen, J.B.; Kårhus, L.; Goel, A.; Lleal, M.S.; Noordam, R.; Mauro, P.; Matteo, F.; McDaid, A.F.; Marques-Vidal, P.; Wielscher, M.; Trompet, S.; Sattar, N.; Møllehave, L.T.; Munz, M.; Zeng, L.; Huang, J.; Yang, B.; Poveda, A.; Kurbasic, A.; Schönherr, S.; Forer, L.; Scholz, M.; Galesloot, T.E.; Bradfield, J.P.; Ruotsalainen, S.E.; Daw, E.W.; Zmuda, J.M; Mitchell, J.S.; Fuchsberger, C.; Christensen, H.; Brody, J.A.; Le, P.; Feitosa, M.F.; Wojczynski, M.K.; Hemerich, D.; Preuss, M.; Mangino, M.; Christofidou, P.; Verweij, N.; Benjamins, J.W.; Engmann, J.; Noah, T.L.; Verma, A.; Slieker, R.C.; Lo, K.S.; Zilhao, N.R.; Kleber, M.E.; Delgado, G.E.; Huo, S.; Ikeda, D.D.; Iha, H.; Yang, J.; Liu, J.; Demirkan, A.; Leonard, H.L.; Marten,J.; Emmel, C.; Schmidt, B.; Smyth, L.J.; Cañadas-Garre, M.; Wang, C.; Nakatochi, M.; Wong, A.; Hutri-Kähönen , N.; Sim, X.; Xia, R.; Huerta-Chagoya, A.; Fernandez-Lopez, J.C.; Lyssenko, V; Nongmaithem, S.S.; Sankareswaran, A.; Irvin, M.R.; Oldmeadow, C.; Kim, H.N.; Ryu, S.; Timmers, P.R.H.J; Arbeeva, L.; Dorajoo, R.; Lange, L.A.; Prasad, G.; Lorés-Motta, L.; Pauper, M.; Long, J.; Li, X.; Theusch, E.; Takeuchi, F.; Spracklen, C.N.; Loukola, A.; Bollepalli, S.; Warner, S.C.; Wang, Y.X.; Wei, W.B.; Nutile, T.; Ruggiero, D.; Sung,Y.J.; Chen, S.; Liu, F.; Yang, J.; Kentistou, K.A.; Banas, B.; Morgan, A.; Meidtner, K.; Bielak, L.F.; Smith, J.A.; Hebbar, P.; Farmaki, A.E.; Hofer, E.; Lin, M.; Concas, M.P.; Vaccargiu, S.; Most, P.J.; Pitkänen, N.; Cade, B.E.; Laan, S.W.; Chitrala, K.N.; Weiss, S.; Bentley, A.R.; Doumatey, A.P.; Adeyemo, A.A.; Lee, J.Y.; Petersen, E.R.B.; Nielsen, A.A.; Choi, H.S.; Nethander, M.; Nethander, M.; Freitag-Wolf, S.; Southam, L.; Rayner, N.W.; Wang, C.A.; Lin, S.; Wang, J.S.; Couture, C.; Lyytikäinen, L.P.; Nikus, K.; Partida, G.C.; Vestergaard, H.; Hidalgo, B.; Giannakopoulou, O.; Cai, Q.; Obura, M.O.; Setten, J.; He, K.Y.; Tang, H.; Terzikhan, N.; Shin, J.H.; Jackson, R.D.; Reiner, A.P.; Martin, L.W.; Chen, Z.; Li, L.; Kawaguchi, T.; Thiery, J.; Bis, J.C.; Launer, L.J.; Li, H.; Nalls, M.A.; Raitakari, O.T.; Ichihara, S.; Wild, S.H.; Nelson, C.P.; Campbell, H.; Jäger, S.; Nabika, T.; Al-Mulla, F.; Niinikoski, H.; Braund, P.S.; Kolcic, I.; Kovacs, P.; Giardoglou, T.; Katsuya, T.; Kleijn, D.; Borst, G.J.; Kim, E.K.; Adams, H.H.H.; Ikram, M.A.; Zhu, X.; Asselbergs, F.W.; Kraaijeveld, A.O.; Beulens, J.W.J.; Shu, X.O.; Rallidis, L.S.; Pedersen, O.; Hansen, T.; Mitchell, P.; Hewitt, A.W.; Kähönen, M.; Pérusse, L.; Bouchard, C.; Tönjes, A.; Chen, Y.D.I; Pennell, C.E.; Mori, T.A.; Lieb, W.; Franke, A.; Ohlsson, C.; Mellström, D.; Cho, Y.S.; Lee, H.; Yuan, J.M.; Koh, W.P.; Rhee, S.Y.; Woo, J.T.; Heid, I.M.; Stark, K.J.; Zimmermann, M.E.; Völzke, H.; Homuth, G.; Homuth, G.; Evans, M.K.; Zonderman, A.B.; Polasek, O.; Pasterkamp, G.; Hoefer, I.E.; Redline, S.; Pahkala, K.; Oldehinkel, A.J.; Snieder, H.; Biino, G.; Schmidt, R.; Schmidt, H.; Bandinelli , S; Dedoussis, G.; Thanaraj, T.A.; Peyser, P.A.; Kato, N.; Schulze, M.B.; Girotto, G.; Böger, C.A.; Jung, B.; Joshi, P.K.; Bennett, D.A.; Jager, P.L.D.; Lu, X.; Mamakou, V.; Brown, M.; Caulfield, M.J.; Munroe, P.B.; Guo, X.; Ciullo, M.; Jonas, J.B.; Samani, N.J.; Kaprio, J.; Pajukanta, P.; Luna, T.T.; Salinas, C.A.A.; Adair, L.S.; Bechayda, S.A.; de Silva, H.J.; Wickremasinghe, A.R.; Krauss, R.M.; Wu, J.Y.; Zheng,W.; Hollander, A.I.; Bharadwaj, D.; Correa, A,; Wilson, J.G.; Lind, L.; Heng, C.K.; Nelson, A.E.; Golightly, Y.M.; Wilson, J.F.; Penninx, B.; Kim, H.L.; Attia, J.; Scott, R.J.; Rao, D.C.; Arnett, D.K.; Walker, M.; Scott, L.J.; Koistinen, H.A.; Chandak, G.R.; Mercader, J.M.; Villalpando, C.G.; Orozco, L.; Fornage, M.; Tai, E.S.; Dam, R.M.; Lehtimäki, T.; Chaturvedi, N.; Yokota, M.; Liu, J.; Reilly, D.F.; McKnight, A.J.; Kee, F.; Jöckel, K.H.; McCarthy, M.I.; Palmer, C.N.A.; Vitart, V.; Hayward, C.; Simonsick, E.; Duijn, C.M; Jin, Z.B.; Jin, Z.B.; Lu, F.; Hishigaki, H.; Lin, X.; März, W.; Gudnason, V.; Tardif, J.C.; Lettre, G.; Hart, L.M.T.; Elders, P.J.M.; Rader, D.J.; Loos, S.M.; Province, M.A.; Parra, E.J.; Cruz, M.; Psaty, B.M.; Brandslund, I.; Pramstaller, P.P.; Rotimi, C.N.; Christensen, K.; Ripatti, S.; Widén, E.; Hakonarson, H.; Grant, S.F.A.; Kiemeney, L.; de Graaf, J.; Loeffler, M.; Kronenberg, F.; Gu, D.; Erdmann, J.; Schunkert, H.; Franks,P.W.; Linneberg, A.; Jukema, J.W.; Khera, A.V.; Männikkö, M.; Jarvelin, M.R.; Kutalik, Z.; Francesco, C.; Kanamori, D.O.M.; Dijk, K.W.; Watkins, H.; Strachan, D.P.; Grarup, N.; Sever, P.; Poulter, N.; Sheu, W.H.H.; Rotter, J.I.; Dantoft, T.M.; Karpe, F.; Neville, M.J.; Timpson, N.J.; Cheng, C.Y.; Wong, T.Y.; Khor, C.C.; Li, H.; Sabanayagam, C.; Peters, A.; Gieger, C.; Hattersley, A.T.; Pedersen, N.L.; Magnusson, P.K.E.; Boomsma, D.I.; de Geus, E.J.C.; Cupples, L.A.; Meurs, J.B.J.; Ikram, A.; Ghanbari, M.; Larsen, P.G.; Huang, W.; Kim, Y.J.; Tabara, Y.; Wareham, N.J.; Langenberg, C.; Zeggini, E.; Tuomilehto, J.; Kuusisto, J.; Laakso, M.; Ingelsson, E.; Abecasis, G.; Chambers, J.C.; Kooner, J.S.; de Vries, P.S.; Morrison, A.C.; Hazelhurst, S.; Ramsay, M.; North, K.E.; Daviglus, M.; Kraft, P.; Martin, N.G.; Whitfield, J.B.; Abbas, S.; Saleheen, D.; Walters, R.G.; Holmes, M.V.; Black, C.; Smith, B.H.; Baras, A.; Justice, A.E.; Buring, J.E.; Ridker, P.M.; Chasman, D.I.; Kooperberg, C.; Tamiya, G.; Yamamoto, M.; Heel, D.A.; Trembath, R.C.; Wei, W.Q.; Jarvik, G.P.; Namjou, B.; Hayes, M.G.; Ritchie, M.D.; Jousilahti, P.; Salomaa, V.; Hveem, K.; Åsvold, B.O.; Kubo, M.; Kamatani, Y.; Okada, Y.; Murakami, Y.; Kim, B.J.; Thorsteinsdottir, U.; Stefansson, K.; Zhang, J.; Chen, Y.E.; Ho, Y.L.; Lynch, J.A.; Tsao, P.S.; Chang, K.M.; Cho, K.; O'Donnell, C.J.; Gaziano, J.M.; Wilson, P.; Mohlke, K.L.; Frayling, T.M.; Hirschhorn, J.N.; Kathiresan, S.; Boehnke, M.; Million Veterans Program; Global Lipids Genetics Consortium; Grant, S.; Natarajan, P.; Sun, Y.V.; Morris, A.P.; Deloukas, P.; Peloso, G.; Assimes, T.L.; Willer, C.J.; Zhu, X.; Brown, C.D.
A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ancestries with a wide array of functional genomic datasets to discover regulatory mechanisms underlying lipid associations. We first prioritize lipid-associated genes with expression quantitative trait locus (eQTL) colocalizations and then add chromatin interaction data to narrow the search for functional genes. Polygenic enrichment analysis across 697 annotations from a host of tissues and cell types confirms the central role of the liver in lipid levels and highlights the selective enrichment of adipose-specific chromatin marks in high-density lipoprotein cholesterol and triglycerides. Overlapping transcription factor (TF) binding sites with lipid-associated loci identifies TFs relevant in lipid biology. In addition, we present an integrative framework to prioritize causal variants at GWAS loci, producing a comprehensive list of candidate causal genes and variants with multiple layers of functional evidence. We highlight two of the prioritized genes, CREBRF and RRBP1, which show convergent evidence across functional datasets supporting their roles in lipid biology.
Comparison of urban diabetics with optimal and suboptimal control
(British Medical Association, London, 2011) Pinidiyapathirage, M.; Warnakulasuriya, T.; Kasturiratne, A.; Ranawaka, U.; Gunasekera, D.; Wijekoon, N.; Medagoda, K.; Perera, S.; Takeuchi, F.; Kato, N.; Wickremasinghe, A.R.
Introduction The prevalence of Diabetes Mellitus in Sri Lanka is increasing. We describe the characteristics of patients with optimal and suboptimal control of diabetes among known diabetics in a 35–64-year-old urban population resident in the Ragama Medical Officer of Health (Ragama MOH) area of Sri Lanka. Methods A cross sectional study was conducted among 2986 randomly selected 35–64 year olds in the Ragama MOH area from January to September 2007. A detailed history was taken and participants were subjected to a physical examination and assay of fasting blood glucose and HbA1C. A HBA1C <6.5 was taken as evidence of optimal control. Results There were 474 persons (194 males and 280 females) who gave a past history of diabetes. 9 males and 9 females were not on any treatment. 27 persons (9 males and 18 females) were on insulin. Of the 474 diabetics, 113 (48 males and 65 females) had a HbA1c <6.5. The average fasting blood glucose of diabetics with optimal control was 120+21 mg/dl. The mean fasting blood glucose level of the 361 subjects with sub optimal control was 190+70 mg/dl. Optimal glycaemic control was not associated with alcohol intake, smoking, obesity, central obesity and low physical activity levels. Conclusions Most known diabetics had access to treatment but only approximately 25% were optimally treated. The need to optimally manage these patients is highlighted.
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
(Nature Publishing Company, New York, 2022) Mahajan, A.; Spracklen, C.N.; Zhang, W.; Ng, M.C.Y.; Petty, L.E.; Kitajima, H.; Yu, G.Z.; Rüeger, S.; Speidel, L.; Kim, Y.J.; Horikoshi, M.; Mercader, J.M .; Taliun, D.; Moon, S.; Kwak, S.H.; Robertson, N.R.; Rayner, N.W.; Loh, M.; Kim, B.; Chiou, J.; Miguel-Escalada, I.; Parolo, P.D.B.; Lin, K.; Bragg, F.; Preuss, M.H.; Takeuchi, F.; Nano, J.; Guo, X.; Lamri, A.; Nakatoch, M.; Scott, R.A.; Lee, J.J.; Huerta-Chagoya, A.; Graff, M.; Chai, J.F.; Parra, E. J.; Yao, J.; Bielak, L.F.; Tabara, Y.; Hai, Y.; Steinthorsdottir, V.; Cook, J.P.; Kals, M.; Grarup, N.; Schmidt, E.M.; Pan, I.; Sofer, T.; Wuttke, M.; Sarnowski, C.; Gieger, C.; Nousome, D.; Trompet, S.; Long, J.; Sun, M.; Tong, L.; Chen, W.M.; Ahmad, M.; Noordam, R.; Lim, V.J.Y.; Tam, C.H.T.; Joo, Y.Y.; Chen, C.H.; Raffield, L.M.; Lecoeur, C.; Prins, B.P.; Nicolas, A.; Yanek, L.R.; Chen, G.; Jensen, R.A.; Tajuddin, S.; Kabagambe, E.K.; An, P.; Xiang, A.H.; Choi, H.S.; Cade, B.E.; Tan, J.; Flanagan, J.; Abaitua, F.; Adair, L.S.; Adeyemo, A.; Aguilar-Salinas, C.A.; Akiyama, M.; Anand, S.S.; Bertoni, A.; Bian, Z.; Bork-Jensen, J.; Brandslund, I.; Brody, J.A.; Brummett, C.M.; Buchanan, T.A.; Canouil, M.; Chan, J.C.N.; Chang, L.C.; Chee, M.L.; Chen, J.; Chen, S.H.; Chen, Y.T.; Chen, Z.; Chuang, L.M.; Cushman, M.; Das, S.K.; de Silva, H.J.; Dedoussis, G.; Dimitrov, L.; Doumatey, A.P.; Du, S.; Duan, Q.; Eckardt, K.U.; Emery, L.S.; Evans, D.S.; Evans, M.K.; Fischer, K.; Floyd, J.S.; Ford, I.; Fornage, M.; Franco, O.H.; Frayling, T.M.; Freedman, B.I.; Fuchsberger, C.; Genter, P.; Gerstein, H.C.; Giedraitis, V.; Villalpando, C.G.; Villalpando, M.E.G.; Goodarzi, M.O.; Larsen, P.G.; Gorkin, D.; Gross, M.; Guo, Y.; Hackinger, S.; Han, S.; Hattersley, A.T.; Herder, C.; Howard, A.G.; Hsueh, W.; Huang, M.; Huang, W.; Hung, Y.; Hwang, M.Y.; Hwu, C.; Ichihara, S.; Ikram, M.A.; Ingelsson, M.; Islam, M.T.; Isono, M.; Jang, H.M.; Jasmine, F.; Jiang, G.; Jonas, J.B.; Jørgensen, M.E.; Jørgensen, T.; Kamatani, Y.; Kandeel, F.R.; Kasturiratne, A.; Katsuya, T.; Kaur, V.; Kawaguchi, T.; Keaton, J.M.; Kho, A.N.; Khor, C.C.; Kibriya, M.G.; Kim, D.H.; Kohara, K.; Kriebel, J.; Kronenberg, F.; Kuusisto, J.; Läll, K.; Lange, L.A.; Lee, M.; Lee, N.R.; Leong, A.; Li, L.; Li, Y.; Li-Gao, R.; Ligthart, S.; Lindgren, C.M.; Linneberg, A.; Liu, C.; Liu, J.; Locke, A.E.; Louie, T.; Luan, J.; Luk, A.O.; Luo, X.; Lv, J.; Lyssenko, V.; Mamakou, V.; Mani, K.R.; Meitinger, T.; Metspalu, A.; Morris, A.D.; Nadkarni, G.N.; Nadler, J.L.; Nalls, M.A.; Nayak, U.; Nongmaithem, S.S.; Ntalla, I.; Okada, Y.; Orozco, L.; Patel, S.R.; Pereira, M.A.; Peters, A.; Pirie, F.J.; Porneala, B.; Prasad, G.; Preissl, S.; Rasmussen-Torvik, L.J.; Reiner, A.P.; Roden, M.; Rohde, R.; Roll, K.; Sabanayagam, C.; Sander, M.; Sandow, K.; Sattar, N.; Schönherr, S.; Schurmann, C.; Shahriar, M.; Shi, J.; Shin, D.M.; Shriner, D.; Smith, J.A.; So, W.Y.; Stančáková, A.; Stilp, A.M.; Strauch, K.; Suzuki, K.; Takahashi, A.; Taylor, K.D.; Thorand, B.; Thorleifsson, G.; Thorsteinsdottir, U.; Tomlinson, B.; Torres, J.M.; Tsai, F.; Tuomilehto, J.; Tusie-Luna, T.; Udler, M.S.; Salgado, A.V.; Dam, R.M.; Klinken, J.B.; Varma, R.; Vujkovic, M.; Wacher-Rodarte, N.; Wheeler, E.; Whitsel, E.A.; Wickremasinghe, A.R.; Dijk, K.W.; Witte, D.R.; Yajnik, C.S; Yamamoto, K.; Yamauchi, T.; Yengo, L.; Yoon, K.; Yu, C.; Yuan, J.M.; Yusuf, S.; Zhang, L.; Zheng, W.; FinnGen; eMERGE Consortium; Leslie J Raffel; Igase, M.; Ipp, E.; Redline, S.; Cho, Y.S.; Lind, L.; Province, M.A.; Hanis, C.L.; Peyser, P.A.; Ingelsson, E.; Zonderman, A.B.; Psaty, B.M.; Wang, Y.; Rotimi, C.N.; Becker, D.M.; Matsuda, F.; Liu, Y.; Zeggini, E.; Yokota, M.; Rich, S.S.; Kooperberg, C.; Pankow, J.S.; Engert, J.C.; Chen, Y.I.; Froguel, P.; Wilson, J.G.; Sheu, W.H.H.; Kardia, S.L.R.; Wu, J.Y.; Hayes, M.G.; Ma, R.C.W.; Wong, T.Y.; Groop, L.; Mook-Kanamori, D.O.; Chandak, G.R.; Collins, F.S.; Bharadwaj, D.; Paré, G.; Sale, M.M.; Ahsan, H.; Motala, A.A.; Shu, X.O.; Park, K.S.; Jukema, J.W.; Cruz, M.; Cowdin, R.M.; Grallert, H.; Cheng, C.Y.; Bottinger, E.P.; Dehghan, A.; Tai, E.S.; Dupuis, J.; Kato, N.; Laakso, M.; Köttgen, A.; Koh, W.P.; Palmer, C.N.A.; Liu, S.; Abecasis, G.; Kooner, J.S.; Loos, R.J.F.; North, K.E.; Haiman, C.A.; Florez, J.C.; Saleheen, D.; Hansen, T.; Pedersen, O.; Mägi, R.; Langenberg, C.; Wareham, N.J.; Maeda, S.; Kadowaki, T.; Lee, J.; Millwood, I.Y.; Walters, R.G.; Stefansson, K.; Myers, S.R.; Ferrer, J.; Gaulton, K.J.; Meigs, J.B.; Mohlke, K.L.; Gloyn, A.L.; Bowden, D.W.; Below, J.E.; Chambers, J.C.; Sim, X.; Boehnke, M.; Rotter, J.I.; McCarthy, M.I.; Morris, A.P.
We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 × 10-9), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background.
Identification of genetic effects underlying type 2 diabetes in South Asian and European populations
(Nature Publishing Group UK, 2022) Loh, M.; Zhang, W.; Ng, H.K.; Schmid, K.; Lamri, A.; Tong, L.; Ahmad, M.; Lee, J.J.; Ng, M.C.Y.; Petty, L.E.; Spracklen, C.N.; Takeuchi, F.; Islam, M.T.; Jasmine, F.; Kasturiratne, A.; Kibriya, M.; Mohlke, K.L.; Paré, G.; Prasad, G.; Shahriar, M.; Chee, M.L.; de Silva, H.J.; Engert, J.C.; Gerstein, H.C.; Mani, K.R.; Sabanayagam, C.; Vujkovic, M.; Wickremasinghe, A.R.; Wong, T.Y.; Yajnik, C.S.; Yusuf, S.; Ahsan, H.; Bharadwaj, D.; Anand, S.S.; Below, J.E.; Boehnke, M.; Bowden, D.W.; Chandak, G.R.; Cheng, C.Y.; Kato, N.; Mahajan, A.; Sim, X.; McCarthy, M.I.; Morris, A.P.; Kooner, J.S.; Saleheen, D.; Chambers, J.C.
South Asians are at high risk of developing type 2 diabetes (T2D). We carried out a genome-wide association meta-analysis with South Asian T2D cases (n = 16,677) and controls (n = 33,856), followed by combined analyses with Europeans (neff = 231,420). We identify 21 novel genetic loci for significant association with T2D (P = 4.7 × 10-8 to 5.2 × 10-12), to the best of our knowledge at the point of analysis. The loci are enriched for regulatory features, including DNA methylation and gene expression in relevant tissues, and highlight CHMP4B, PDHB, LRIG1 and other genes linked to adiposity and glucose metabolism. A polygenic risk score based on South Asian-derived summary statistics shows ~4-fold higher risk for T2D between the top and bottom quartile. Our results provide further insights into the genetic mechanisms underlying T2D, and highlight the opportunities for discovery from joint analysis of data from across ancestral populations.
The power of genetic diversity in genome-wide association studies of lipids
(Macmillan Journals Ltd, 2021) Graham, S.E.; Clarke, S.L.; Wu, K.H.; Kanoni, S.; Zajac, G.J.M.; Ramdas, S.; Surakka, I.; Ntalla, I.; Vedantam, S.; Winkler, T.W.; Locke, A.E.; Marouli, E.; Hwang, M.Y.; Han, S.; Narita, A.; Choudhury, A.; Bentley, A.R.; Ekoru, K.; Verma, A.; Trivedi, B.; Martin, H.C.; Hunt, K.A.; Hui, Q.; Klarin, D.; Zhu, X.; Thorleifsson, G.; Helgadottir, A.; Gudbjartsson, D.F.; Holm, H.; Olafsson, I.; Akiyama, M.; Sakaue, S.; Terao, C.; Kanai, M.; Zhou, W.; Brumpton, B.M.; Rasheed, H.; Ruotsalainen, S.E.; Havulinna, A.S.; Veturi, Y.; Feng, Q.; Rosenthal, E.A.; Lingren, T.; Pacheco, J.A.; Pendergrass, S.A.; Haessler, J.; Giulianini, F.; Bradford, Y.; Miller, J.E.; Campbell, A.; Lin, K.; Millwood, I.Y.; Hindy, G.; Rasheed, A.; Faul, J.D.; Zhao, W.; Weir, D.R.; Turman, C.; Huang, H.; Graff, M.; Mahajan, A.; Brown, M.R.; Zhang, W.; Yu, K.; Schmidt, E.M.; Pandit, A.; Gustafsson, S.; Yin, X.; Luan, J.; Zhao, J.H.; Matsuda, F.; Jang, H.M.; Yoon, K.; Medina-Gomez, C.; Pitsillides, A.; Hottenga, J.J.; Willemsen, G.; Wood, A.R.; Ji, Y.; Gao, Z.; Haworth, S.; Mitchell, R.E.; Chai, J.F.; Aadahl, M.; Yao, J.; Manichaikul, A.; Warren, H.R.; Ramirez, J.; Bork-Jensen, J.; Kårhus, L.L.; Goel, A.; Sabater-Lleal, M.; Noordam, R.; Sidore, C.; Fiorillo, E.; McDaid, A.F.; Marques-Vidal, P.; Wielscher, M.; Trompet, S.; Sattar, N.; Møllehave, L.T.; Thuesen, B.H.; Munz, M.; Zeng, L.; Huang, J.; Yang, B.; Poveda, A.; Kurbasic, A.; Lamina, C.; Forer, L.; Scholz, M.; Galesloot, T.E.; Bradfield, J.P.; Daw, E.W.; Zmuda, J.M.; Mitchell, J.S.; Fuchsberger, C.; Christensen, H.; Brody, J.A.; Feitosa, M.F.; Wojczynski, M.K.; Preuss, M.; Mangino, M.; Christofidou, P.; Verweij, N.; Benjamins, J.W.; Engmann, J.; Kember, R.L.; Slieker, R.C.; Lo, K.S.; Zilhao, N.R.; Le, P.; Kleber, M.E.; Delgado, G.E.; Huo, S.; Ikeda, D.D.; Iha, H.; Yang, J.; Liu, J.; Leonard, H.L.; Marten, J.; Schmidt, B.; Arendt, M.; Smyth, L.J.; Cañadas-Garre, M.; Wang, C.; Nakatochi, M.; Wong, A.; Hutri-Kähönen, N.; Sim, X.; Xia, R.; Huerta-Chagoya, A.; Fernandez-Lopez, J.C.; Lyssenko, V.; Ahmed, M.; Jackson, A.U.; Irvin, M.R.; Oldmeadow, C.; Kim, H.N.; Ryu, S.; Timmers, P.R.H.J.; Arbeeva, L.; Dorajoo, R.; Lange, L.A.; Chai, X.; Prasad, G.; Lorés-Motta, L.; Pauper, M.; Long, J.; Li, X.; Theusch, E.; Takeuchi, F.; Spracklen, C.N.; Loukola, A.; Bollepalli, S.; Warner, S.C.; Wang, Y.X.; Wei, W.B.; Nutile, T.; Ruggiero, D.; Sung, Y.J.; Hung, Y.J.; Chen, S.; Liu, F.; Yang, J.; Kentistou, K.A.; Gorski, M.; Brumat, M.; Meidtner, K.; Bielak, L.F.; Smith, J.A.; Hebbar, P.; Farmaki, A.E.; Hofer, E.; Lin, M.; Xue, C.; Zhang, J.; Concas, M.P.; Vaccargiu, S.; van der Most, P.J.; Pitkänen, N.; Cade, B.E.; Lee, J.; van der Laan, S.W.; Chitrala, K.N.; Weiss, S.; Zimmermann, M.E.; Lee, J.Y.; Choi, H.S.; Nethander, M.; Freitag-Wolf, S.; Southam, L.; Rayner, N.W.; Wang, C.A.; Lin, S.Y.; Wang, J.S.; Couture, C.; Lyytikäinen, L.P.; Nikus, K.; Cuellar-Partida, G.; Vestergaard, H.; Hildalgo, B.; Giannakopoulou, O.; Cai, Q.; Obura, M.O.; van Setten, J.; Li, X.; Schwander, K.; Terzikhan, N.; Shin, J.H.; Jackson, R.D.; Reiner, A.P.; Martin, L.W.; Chen, Z.; Li, L.; Highland, H.M.; Young, K.L.; Kawaguchi, T.; Thiery, J.; Bis, J.C.; Nadkarni, G.N.; Launer, L.J.; Li, H.; Nalls, M.A.; Raitakari, O.T.; Ichihara, S.; Wild, S.H.; Nelson, C.P.; Campbell, H.; Jäger, S.; Nabika, T.; Al-Mulla, F.; Niinikoski, H.; Braund, P.S.; Kolcic, I.; Kovacs, P.; Giardoglou, T.; Katsuya, T.; Bhatti, K.F.; de Kleijn, D.; de Borst, G.J.; Kim, E.K.; Adams, H.H.H.; Ikram, M.A.; Zhu, X.; Asselbergs, F.W.; Kraaijeveld, A.O.; Beulens, J.W.J.; Shu, X.O.; Rallidis, L.S.; Pedersen, O.; Hansen, T.; Mitchell, P.; Hewitt, A.W.; Kähönen, M.; Pérusse, L.; Bouchard, C.; Tönjes, A.; Chen, Y.I.; Pennell, C.E.; Mori, T.A.; Lieb, W.; Franke, A.; Ohlsson, C.; Mellström, D.; Cho, Y.S.; Lee, H.; Yuan, J.M.; Koh, W.P.; Rhee, S.Y.; Woo, J.T.; Heid, I.M.; Stark, K.J.; Völzke, H.; Homuth, G.; Evans, M.K.; Zonderman, A.B.; Polasek, O.; Pasterkamp, G.; Hoefer, I.E.; Redline, S.; Pahkala, K.; Oldehinkel, A.J.; Snieder, H.; Biino, G.; Schmidt, R.; Schmidt, H.; Chen, Y.E.; Bandinelli, S.; Dedoussis, G.; Thanaraj, T.A.; Kardia, S.L.R.; Kato, N.; Schulze, M.B.; Girotto, G.; Jung, B.; Böger, C.A.; Joshi, P.K.; Bennett, D.A.; de Jager, P.L.; Lu, X.; Mamakou, V.; Brown, M.; Caulfield, M.J.; Munroe, P.B.; Guo, X.; Ciullo, M.; Jonas, J.B.; Samani, N.J.; Kaprio, J.; Pajukanta, P.; Adair, L.S.; Bechayda, S.A.; de Silva, H.J.; Wickremasinghe, A.R.; Krauss, R.M.; Wu, J.Y.; Zheng, W.; den Hollander, A.I.; Bharadwaj, D.; Correa, A.; Wilson, J.G.; Lind, L.; Heng, C.K.; Nelson, A.E.; Golightly, Y.M.; Wilson, J.F.; Penninx, B.; Kim, H.L.; Attia, J.; Scott, R.J.; Rao, D.C.; Arnett, D.K.; Walker, M.; Koistinen, H.A.; Chandak, G.R.; Yajnik, C.S.; Mercader, J.M.; Tusié-Luna, T.; Aguilar-Salinas, C.A.; Villalpando, C.G.; Orozco, L.; Fornage, M.; Tai, E.S.; van Dam, R.M.; Lehtimäki, T.; Chaturvedi, N.; Yokota, M.; Liu, J.; Reilly, D.F.; McKnight, A.J.; Kee, F.; Jöckel, K.H.; McCarthy, M.I.; Palmer, C.N.A.; Vitart, V.; Hayward, C.; Simonsick, E.; van Duijn, C.M.; Lu, F.; Qu, J.; Hishigaki, H.; Lin, X.; März, W.; Parra, E.J.; Cruz, M.; Gudnason, V.; Tardif, J.C.; Lettre, G.; 't Hart, L.M.; Elders, P.J.M.; Damrauer, S.M.; Kumari, M.; Kivimaki, M.; van der Harst, P.; Spector, T.D.; Loos, R.J.F.; Province, M.A.; Psaty, B.M.; Brandslund, I.; Pramstaller, P.P.; Christensen, K.; Ripatti, S.; Widén, E.; Hakonarson, H.; Grant, S.F.A.; Kiemeney, L.A.L.M.; de Graaf, J.; Loeffler, M.; Kronenberg, F.; Gu, D.; Erdmann, J.; Schunkert, H.; Franks, P.W.; Linneberg, A.; Jukema, J.W.; Khera, A.V.; Männikkö, M.; Jarvelin, M.R.; Kutalik, Z.; Cucca, F.; Mook-Kanamori, D.O.; van Dijk, K.W.; Watkins, H.; Strachan, D.P.; Grarup, N.; Sever, P.; Poulter, N.; Rotter, J.I.; Dantoft, T.M.; Karpe, F.; Neville, M.J.; Timpson, N.J.; Cheng, C.Y.; Wong, T.Y.; Khor, C.C.; Sabanayagam, C.; Peters, A.; Gieger, C.; Hattersley, A.T.; Pedersen, N.L.; Magnusson, P.K.E.; Boomsma, D.I.; de Geus, E.J.C.; Cupples, L.A.; van Meurs, J.BJ.; Ghanbari, M.; Gordon-Larsen, P.; Huang, W.; Kim, Y.T.; Tabara, Y.; Wareham, N.J.; Langenberg, C.; Zeggini, E.; Kuusisto, J.; Laakso, M.; Ingelsson, E.; Abecasis, G.; Chambers, J.C.; Kooner, J.S.; de Vries, P.S.; Morrison, A.C.; North, K.E.; Daviglus, M.; Kraft, P.; Martin, N.G.; Whitfield, J.B.; Abbas, S.; Saleheen, D.; Walters, R.G.; Holmes, M.V.; Black, C.; Smith, B.H.; Justice, A.E.; Baras, A.; Buring, J.E.; Ridker, P.M.; Chasman, D.I.; Kooperberg, C.; Wei, W.Q.; Jarvik, G.P; Namjou, B.; Hayes, M.G.; Ritchie, M.D.; Jousilahti, P.; Salomaa, V.; Hveem, K.; Åsvold, B.O.; Kubo, M.; Kamatani, Y.; Okada, Y.; Murakami, Y.; Thorsteinsdottir, U.; Stefansson, K.; Ho, Y.L.; Lynch, J.A.; Rader, D.J.; Tsao, P.S.; Chang, K.M.; Cho, K.; O'Donnell, C.J.; Gaziano, J.M.; Wilson, P.; Rotimi, C.N.; Hazelhurst, S.; Ramsay, M.; Trembath, R.C.; van Heel, D.A.; Tamiya, G.; Yamamoto, M.; Kim, B.J.; Mohlke, K.L.; Frayling, T.M.; Hirschhorn, J.N.; Kathiresan, S.; Boehnke, M.; Natarajan, P.; Peloso, G.M.; Brown, C.D.; Morris, A.P.; Assimes, T.L.; Deloukas, P.; Sun, Y.V.; Willer, C.J.; VA Million Veteran Program; Global Lipids Genetics Consortium
Increased blood lipid levels are heritable risk factors of cardiovascular disease with varied prevalence worldwide owing to different dietary patterns and medication use1. Despite advances in prevention and treatment, in particular through reducing low-density lipoprotein cholesterol levels2, heart disease remains the leading cause of death worldwide3. Genome-wideassociation studies (GWAS) of blood lipid levels have led to important biological and clinical insights, as well as new drug targets, for cardiovascular disease. However, most previous GWAS4-23 have been conducted in European ancestry populations and may have missed genetic variants that contribute to lipid-level variation in other ancestry groups. These include differences in allele frequencies, effect sizes and linkage-disequilibrium patterns24. Here we conduct a multi-ancestry, genome-wide genetic discovery meta-analysis of lipid levels in approximately 1.65 million individuals, including 350,000 of non-European ancestries. We quantify the gain in studying non-European ancestries and provide evidence to support the expansion of recruitment of additional ancestries, even with relatively small sample sizes. We find that increasing diversity rather than studying additional individuals of European ancestry results in substantial improvements in fine-mapping functional variants and portability of polygenic prediction (evaluated in approximately 295,000 individuals from 7 ancestry groupings). Modest gains in the number of discovered loci and ancestry-specific variants were also achieved. As GWAS expand emphasis beyond the identification of genes and fundamental biology towards the use of genetic variants for preventive and precision medicine25, we anticipate that increased diversity of participants will lead to more accurate and equitable26 application of polygenic scores in clinical practice.

Medicine

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