Medicine
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Item 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.Item 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.Item The iHealth-T2D study: a cluster randomised trial for the prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes-a statistical analysis plan(BioMed Central, London, 2022) Muilwijk, M.; Loh, M.; Mahmood, S.; Palaniswamy, S.; Siddiqui, S.; Silva, W.; Frost, G.S.; Gage, H.M.; Jarvelin, M.R.; Rannan-Eliya, R.P.; Ahmad, S.; Jha, S.; Kasturiratne, A.; Katulanda, P.; Khawaja, K.I.; Kooner, J.S.; Wickremasinghe, A.R.; van Valkengoed, I.G.M.; Chambers, J.C.Background: South Asians are at high risk of type 2 diabetes (T2D). Lifestyle modification is effective at preventing T2D amongst South Asians, but the approaches to screening and intervention are limited by high costs, poor scalability and thus low impact on T2D burden. An intensive family-based lifestyle modification programme for the prevention of T2D was developed. The aim of the iHealth-T2D trial is to compare the effectiveness of this programme with usual care. Methods: The iHealth-T2D trial is designed as a cluster randomised controlled trial (RCT) conducted at 120 sites across India, Pakistan, Sri Lanka and the UK. A total of 3682 South Asian men and women with age between 40 and 70 years without T2D but at elevated risk for T2D [defined by central obesity (waist circumference ≥ 95 cm in Sri Lanka or ≥ 100 cm in India, Pakistan and the UK) and/or prediabetes (HbA1c ≥ 6.0%)] were included in the trial. Here, we describe in detail the statistical analysis plan (SAP), which was finalised before outcomes were available to the investigators. The primary outcome will be evaluated after 3 years of follow-up after enrolment to the study and is defined as T2D incidence in the intervention arm compared to usual care. Secondary outcomes are evaluated both after 1 and 3 years of follow-up and include biochemical measurements, anthropometric measurements, behavioural components and treatment compliance. Discussion: The iHealth-T2D trial will provide evidence of whether an intensive family-based lifestyle modification programme for South Asians who are at high risk for T2D is effective in the prevention of T2D. The data from the trial will be analysed according to this pre-specified SAP. Ethics and dissemination: The trial was approved by the international review board of each participating study site. Study findings will be disseminated through peer-reviewed publications and in conference presentations.Item 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.Item 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 ConsortiumIncreased 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.Item The iHealth-T2D study, prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes: study protocol for a randomised controlled trial(BioMed Central, London, 2021) Kasturiratne, A.; Khawaja, K.I.; Ahmad, S.; Siddiqui, S.; Shahzad, K.; Athauda, L.K.; Jayawardena, R.; Mahmood, S.; Muilwijk, M.; Batool, T.; Burney, S.; Glover, M.; Palaniswamy, S.; Bamunuarachchi, V.; Panda, M.; Madawanarachchi, S.; Rai, B.; Sattar, I.; Silva, W.; Waghdhare, S.; Jarvelin, M.R.; Rannan-Eliya, R.P.; Gage, H.M.; van Valkengoed, I.G.M.; Valabhji, J.; Frost, G.S.; Loh, M.; Wickremasinghe, A.R.; Kooner, J.S.; Katulanda, P.; Jha, S.; Chambers, J.C.Background: People from South Asia are at increased risk of type 2 diabetes (T2D). There is an urgent need to develop approaches for the prevention of T2D in South Asians that are cost-effective, generalisable and scalable across settings.Hypothesis: Compared to usual care, the risk of T2D can be reduced amongst South Asians with central obesity or raised HbA1c, through a 12-month lifestyle modification programme delivered by community health workers.Design: Cluster randomised clinical trial (1:1 allocation to intervention or usual care), carried out in India, Pakistan, Sri Lanka and the UK, with 30 sites per country (120 sites total). Target recruitment 3600 (30 participants per site) with annual follow-up for 3 years.Entry criteria: South Asian, men or women, age 40-70 years with (i) central obesity (waist circumference ≥ 100 cm in India and Pakistan; ≥90 cm in Sri Lanka) and/or (ii) prediabetes (HbA1c 6.0-6.4% inclusive).Exclusion criteria: known type 1 or 2 diabetes, normal or underweight (body mass index < 22 kg/m2); pregnant or planning pregnancy; unstable residence or planning to leave the area; and serious illness.Endpoints: The primary endpoint is new-onset T2D at 3 years, defined as (i) HbA1c ≥ 6.5% or (ii) physician diagnosis and on treatment for T2D. Secondary endpoints at 1 and 3 years are the following: (i) physical measures: waist circumference, weight and blood pressure; (ii) lifestyle measures: smoking status, alcohol intake, physical activity and dietary intake; (iii) biochemical measures: fasting glucose, insulin and lipids (total and HDL cholesterol, triglycerides); and (iv) treatment compliance. Intervention: Lifestyle intervention (60 sites) or usual care (60 sites). Lifestyle intervention was delivered by a trained community health worker over 12 months (5 one-one sessions, 4 group sessions, 13 telephone sessions) with the goal of the participants achieving a 7% reduction in body mass index and a 10-cm reduction in waist circumference through (i) improved diet and (ii) increased physical activity. Usual care comprised a single 30-min session of lifestyle modification advice from the community health worker. Results: We screened 33,212 people for inclusion into the study. We identified 10,930 people who met study entry criteria, amongst whom 3682 agreed to take part in the intervention. Study participants are 49.2% female and aged 52.8 (SD 8.2) years. Clinical characteristics are well balanced between intervention and usual care sites. More than 90% of follow-up visits are scheduled to be complete in December 2020. Based on the follow-up to end 2019, the observed incidence of T2D in the study population is in line with expectations (6.1% per annum). Conclusion: The iHealth-T2D study will advance understanding of strategies for the prevention of diabetes amongst South Asians, use approaches for screening and intervention that are adapted for low-resource settings. Our study will thus inform the implementation of strategies for improving the health and well-being of this major global ethnic group.Item Effects of a lifestyle intervention programme after 1 year of follow-up among South Asians at high risk of type 2 diabetes: a cluster randomised controlled trial(BMJ Publishing Group Ltd, 2021) Muilwijk, M.; Loh, M.; Siddiqui, S.; Mahmood, S.; Palaniswamy, S.; Shahzad, K.; Athauda, L.K.; Jayawardena, R.; Batool, T.; Burney, S.; Glover, M.; Bamunuarachchi, V.; Panda, M.; Madawanarachchi, M.; Rai, B.; Sattar, I.; Silva, W.; Waghdhare, S.; Jarvelin, M.R.; Rannan-Eliya, R.P.; Wijemunige, N.; Gage, H.M.; Valabhji, J.; Frost, G.S.; Wickremasinghe, R.; Kasturiratne, A.; Khawaja, K.I.; Ahmad, S.; Valkengoed, I.G.V.; Katulanda, P.; Jha, S.; Kooner, J.S.; Chambers, J.C.Introduction South Asians are at high risk of type 2 diabetes (T2D). We assessed whether intensive family-based lifestyle intervention leads to significant weight loss, improved glycaemia and blood pressure in adults at elevated risk for T2D.Methods This cluster randomised controlled trial (iHealth-T2D) was conducted at 120 locations across India, Pakistan, Sri Lanka and the UK. We included 3684 South Asian men and women, aged 40–70 years, without T2D but with raised haemoglobin A1c (HbA1c) and/or waist circumference. Participants were randomly allocated either to the family-based lifestyle intervention or control group by location clusters. Participants in the intervention received 9 visits and 13 telephone contacts by community health workers over 1-year period, and the control group received usual care. Reductions in weight (aim >7% reduction), waist circumference (aim ≥5 cm reduction), blood pressure and HbA1C at 12 months of follow-up were assessed. Our linear mixed-effects regression analysis was based on intention-to-treat principle and adjusted for age, sex and baseline values. Results There were 1846 participants in the control and 1838 in the intervention group. Between baseline and 12 months, mean weight of participants in the intervention group reduced by 1.8 kg compared with 0.4 kg in the control group (adjusted mean difference −1.10 kg (95% CI −1.70 to −1.06), p<0.001). The adjusted mean difference for waist circumference was −1.9 cm (95% CI −2.5; to 1.3), p<0.001). No overall difference was observed for blood pressure or HbA1c. People who attended multiple intervention sessions had a dose-dependent effect on waist circumference, blood pressure and HbA1c, but not on weight. Conclusion An intensive family-based lifestyle intervention adopting low-resource strategies led to effective reduction in weight and waist circumference at 12 months, which has potential long-term benefits for preventing T2D. A higher number of attended sessions increased the effect on waist circumference, blood pressure and HbA1c.Item The Trans-ancestral genomic architecture of glycemic traits(Nature Pub. Co., 2021) Chen, J.; Spracklen, C.N.; Marenne, G.; Varshney, A.; Corbin, L.J.; Luan, J.; Willems, S.M.; Wu, Y.; Zhang, X.; Horikoshi, M.; Boutin, T.S.; Mägi, R.; Waage, J.; Li-Gao, R.; Chan, K.H.K; Yao, J.; Anasanti, M.D.; Chu, A.Y.; Claringbould, A.; Heikkinen, J.; Hong, J.; Hottenga, J.J.; Huo, S.; Kaakinen, M.A.; Louie, T.; März, W.; Moreno-Macias, H.; Ndungu, A.; Nelson, S.C.; Nolte, I.M.; North, K.E.; Raulerson, C.K.; Ray, D.; Rohde, R.; Rybin, D.; Schurmann, C.; Sim, X.; Southam, L.; Stewart, I.D.; Wang, C.A.; Wang, Y.; Wu, P.; Zhang, W.; Ahluwalia, T.S.; Appel, E.V.R.; Bielak, L.F.; Brody, J.A.; Burtt, N.P.; Cabrera, C.P.; Cade, B.E.; Chai, J.F.; Chai, X.; Chang, L.C.; Chen, C.H.; Chen, B.H.; Chitrala, K.N.; Chiu, Y.F.; De Haan, H.G.; Delgado, G.E.; Demirkan, A.; Duan, Q.; Engmann, J.; Fatumo, S.A.; Gayán, J.; Giulianini, F.; Gong, J.H.; Gustafsson, S.; Hai, Y.; Hartwig, F.P.; He, J.; Heianza, Y.; Huang, T.; Huerta-Chagoya, A.; Hwang, M.Y.; Jensen, R.A.; Kawaguchi, T.; Kentistou, K.A.; Kim, Y.J.; Kleber, M.E.; Kooner, I.K.; Lai, S.; Lange, L.A.; Langefeld, C.D.; Lauzon, M.; Li, M.; Ligthart, S.; Liu, J.; Loh, M.; Long, J.; Lyssenko, V.; Mangino, M.; Marzi, C.; Montasser, M.E.; Nag, A.; Nakatochi, M.; Noce, D.; Noordam, R.; Pistis, G.; Preuss, M.; Raffield, L.; Rasmussen-Torvik, L.J.; Rich, S.S.; Robertson, N.R.; Rueedi, R.; Ryan, K.; Sanna, S.; Saxena, R.; Schraut, K.E.; Sennblad, B.; Setoh, K.; Smith, A.V.; Sparsø, T.; Strawbridge, R.J.; Takeuchi, F.; Tan, J.; Trompet, S.; Van den Akker, E.; Van der Most, P.J.; Verweij, N.; Vogel, M.; Wang, H.; Wang, C.; Wang, N.; Warren, H.R.; Wen, W.; Wilsgaard, T.; Wong, A.; Wood, A.R.; Xie, T.; Zafarmand, M.H.; Zhao, J.H.; Zhao, W.; Amin, N.; Arzumanyan, Z.; Astrup, A.; Bakker, S.J.L.; Baldassarre, D.; Beekman, M.; Bergman, R.N.; Bertoni, A.; Blüher, M.; Bonnycastle, L.L.; Bornstein, S.R.; Bowden, D.W.; Cai, Q.; Campbell, A.; Campbell, H.; Chang, Y.C.; de Geus, E.J.C.; Dehghan, A.; Du, S.; Eiriksdottir, G.; Farmaki, A.E.; Frånberg, M.; Fuchsberger, C.; Gao, Y.; Gjesing, A.P.; Goel, A.; Han, S.; Hartman, C.A.; Herder, C.; Hicks, A.A.; Hsieh, C.H.; Hsueh, W.A.; Ichihara, S.; Igase, M.; Ikram, M.A.; Johnson, W.C.; Jørgensen, M.E.; Joshi, P.K.; Kalyani, R.R.; Kandeel, F.R.; Katsuya, T.; Khor, C.C.; Kiess, W.; Kolcic, I.; Kuulasmaa, T.; Kuusisto, J.; Läll, K.; Lam, K.; Lawlor, D.A.; Lee, N.R.; Lemaitre, R.N.; Li, H.; Lifelines Cohort Study; Lin, S.Y.; Lindström, J.; Linneberg, A.; Liu, J.; Lorenzo, C.; Matsubara, T.; Matsuda, F.; Mingrone, G.; Mooijaart, S.; Moon, S.; Nabika, T.; Nadkarni, G.N.; Nadler, J.L.; Nelis, M.; Neville, M.J.; Norris, J.M.; Ohyagi, Y.; Peters, A.; Peyser, P.A.; Polasek, O.; Qi, Q.; Raven, D.; Reilly, D.F.; Reiner, A.; Rivideneira, F.; Roll, K.; Rudan, I.; Sabanayagam, C.; Sandow, K.; Sattar, N.; Schürmann, A.; Shi, J.; Stringham, H.M.; Taylor, K.D.; Teslovich, T.M.; Thuesen, B.; Timmers, P.R.H.J.; Tremoli, E.; Tsai, M.Y.; Uitterlinden, A.; van Dam, R.M.; van Heemst, D.; van Hylckama Vlieg, A.; van Vliet-Ostaptchouk, J.V.; Vangipurapu, J.; Vestergaard, H.; Wang, T.; Willems van Dijk, K.; Zemunik, T.; Abecasis, G.R.; Adair, L.S.; Aguilar-Salinas, C.A.; Alarcón-Riquelme, M.E.; An, P.; Aviles-Santa, L.; Becker, D.M.; Beilin, L.J.; Bergmann, S.; Bisgaard, H.; Black, C.; Boehnke, M.; Boerwinkle, E.; Böhm, B.O.; Bønnelykke, K.; Boomsma, D.I.; Bottinger, E.P.; Buchanan, T.A.; Canouil, M.; Caulfield, M.J.; Chambers, J.C.; Chasman, D.I.; Chen, Y.I.; Cheng, C.Y.; Collins, F.S.; Correa, A.; Cucca, F.; de Silva, H.J.; Dedoussis, G.; Elmståhl, S.; Evans, M.K.; Ferrannini, E.; Ferrucci, L.; Florez, J.C.; Franks, P.W.; Frayling, T.M.; Froguel, P.; Gigante, B.; Goodarzi, M.O.; Gordon-Larsen, P.; Grallert, H.; Grarup, N.; Grimsgaard, S.; Groop, L.; Gudnason, V.; Guo, X.; Hamsten, A.; Hansen, T.; Hayward, C.; Heckbert, S.R.; Horta, B.L.; Huang, W.; Ingelsson, E.; James, P.S.; Jarvelin, M.R.; Jonas, J.B.; Jukema, J.W.; Kaleebu, P.; Kaplan, R.; Kardia, S.L.R.; Kato, N.; Keinanen-Kiukaanniemi, S.M.; Kim, B.J.; Kivimaki, M.; Koistinen, H.A.; Kooner, J.S.; Körner, A.; Kovacs, P.; Kuh, D.; Kumari, M.; Kutalik, Z.; Laakso, M.; Lakka, T.A.; Launer, L.J.; Leander, K.; Li, H.; Lin, X.; Lind, L.; Lindgren, C.; Liu, S.; Loos, R.J.F.; Magnusson, P.K.E.; Mahajan, A.; Metspalu, A.; Mook-Kanamori, D.O.; Mori, T.A.; Munroe, P.B.; Njølstad, I.; O'Connell, J.R.; Oldehinkel, A.J.; Ong, K.K.; Padmanabhan, S.; Palmer, C.N.A.; Palmer, N.D.; Pedersen, O.; Pennell, C.E.; Porteous, D.J.; Pramstaller, P.P.; Province, M.A.; Psaty, B.M.; Qi, L.; Raffel, L.J.; Rauramaa, R.; Redline, S.; Ridker, P.M.; Rosendaal, F.R.; Saaristo, T.E.; Sandhu, M.; Saramies, J.; Schneiderman, N.; Schwarz, P.; Scott, L.J.; Selvin, E.; Sever, P.; Shu, X.O.; Slagboom, P.E.; Small, K.S.; Smith, B.H.; Snieder, H.; Sofer, T.; Sørensen, T.I.A.; Spector, T.D.; Stanton, A.; Steves, C.J.; Stumvoll, M.; Sun, L.; Tabara, Y.; Tai, E.S.; Timpson, N.J.; Tönjes, A.; Tuomilehto, J.; Tusie, T.; Uusitupa, M.; van der Harst, P.; van Duijn, C.; Vitart, V.; Vollenweider, P.; Vrijkotte, T.G.M.; Wagenknecht, L.E.; Walker, M.; Wang, Y.X.; Wareham, N.J.; Watanabe, R.M.; Watkins, H.; Wei, W.B.; Wickremasinghe, A.R.; Willemsen, G.; Wilson, J.F.; Wong, T.Y.; Wu, J.Y.; Xiang, A.H.; Yanek, L.R.; Yengo, L.; Yokota, M.; Zeggini, E.; Zheng, W.; Zonderman, A.B.; Rotter, J.I.; Gloyn, A.L.; McCarthy, M.I.; Dupuis, J.; Meigs, J.B.; Scott, R.A.; Prokopenko, I.; Leong, A.; Liu, C.T.; Parker, S.C.J.; Mohlke, K.L.; Langenberg, C.; Wheeler, E.; Morris, A.P.; Barroso, I.; Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC) Collaborators.ABSTRACT: Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 × 10-8), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.Item Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation(Nature Publishing Company, 2015) Kato, N.; Loh, M.; Takeuchi, F.; Verweij, N.; Wang, X.; Zhang, W.; Kelly, T.N.; Saleheen, D.; Lehne, B.; Leach, I.M.; Drong, A.W.; Abbott, J.; Wahl, S.; Tan, S.T.; Scott, W.R.; Campanella, G.; Chadeau-Hyam, M.; Afzal, U.; Ahluwalia, T.S.; Bonder, M.J.; Chen, P.; Dehghan, A.; Edwards, T.L.; Esko, T.; Go, M.J.; Harris, S.E.; Hartiala, J.; Kasela, S.; Kasturiratne, A.; Khor, C.C.; Kleber, M.E.; Li, H.; Mok, Z.Y.; Nakatochi, M.; Sapari, N.S.; Saxena, R.; Stewart, A.F.; Stolk, L.; Tabara, Y.; Teh, A.L.; Wu, Y.; Wu, J.Y.; Zhang, Y.; Aits, I.; Da Silva Couto Alves, A.; Das, S.; Dorajoo, R.; Hopewell, J.C.; Kim, Y.K.; Koivula, R.W.; Luan, J.; Lyytikäinen, L.P.; Nguyen, Q.N.; Pereira, M.A.; Postmus, I.; Raitakari, O.T.; Bryan, M.S.; Scott, R.A.; Sorice, R.; Tragante, V.; Traglia, M.; White, J.; Yamamoto, K.; Zhang, Y.; Adair, L.S.; Ahmed, A.; Akiyama, K.; Asif, R.; Aung, T.; Barroso, I.; Bjonnes, A.; Braun, T.R.; Cai, H.; Chang, L.C.; Chen, C.H.; Cheng, C.Y.; Chong, Y.S.; Collins, R.; Courtney, R.; Davies, G.; Delgado, G.; Do, L.D.; Doevendans, P.A.; Gansevoort, R.T.; Gao, Y.T.; Grammer, T.B.; Grarup, N.; Grewal, J.; Gu, D.; Wander, G.S.; Hartikainen, A.L.; Hazen, S.L.; He, J.; Heng, C.K.; Hixson, J.E.; Hofman, A.; Hsu, C.; Huang, W.; Husemoen, L.L.; Hwang, J.Y.; Ichihara, S.; Igase, M.; Isono, M.; Justesen, J.M.; Katsuya, T.; Kibriya, M.G.; Kim, Y.J.; Kishimoto, M.; Koh, W.P.; Kohara, K.; Kumari, M.; Kwek, K.; Lee, N.R.; Lee, J.; Liao, J.; Lieb, W.; Liewald, D.C.; Matsubara, T.; Matsushita, Y.; Meitinger, T.; Mihailov, E.; Milani, L.; Mills, R.; Mononen, N.; Müller-Nurasyid, M.; Nabika, T.; Nakashima, E.; Ng, H.K.; Nikus, K.; Nutile, T.; Ohkubo, T.; Ohnaka, K.; Parish, S.; Paternoster, L.; Peng, H.; Peters, A.; Pham, S.T.; Pinidiyapathirage, M.J.; Rahman, M.; Rakugi, H.; Rolandsson, O.; Rozario, M.A.; Ruggiero, D.; Sala, C.F.; Sarju, R.; Shimokawa, K.; Snieder, H.; Sparso, T.; Spiering, W.; Starr, J.M.; Stott, D.J.; Stram, D.O.; Sugiyama, T.; Szymczak, S.; Tang, W.H.; Tong, L.; Trompet, S.; Turjanmaa, V.; Ueshima, H.; Uitterlinden, A.G.; Umemura, S.; Vaarasmaki, M.; van Dam, R.M.; van Gilst, W.H.; van Veldhuisen, D.J.; Viikari, J.S.; Waldenberger, M.; Wang, Y.; Wang, A.; Wilson, R.; Wong, T.Y.; Xiang, Y.B.; Yamaguchi, S.; Ye, X.; Young, R.D.; Young, T.L.; Yuan, J.M.; Zhou, X.; Asselbergs, F.W.; Ciullo, M.; Clarke, R.; Deloukas, P.; Franke, A.; Franks, P.W.; Franks, S.; Friedlander, Y.; Gross, M.D.; Guo, Z.; Hansen, T.; Jarvelin, M.R.; Jorgensen, T.; Jukema, J.W.; Kähönen, M.; Kajio, H.; Kivimaki, M.; Lee, J.Y.; Lehtimäki, T.; Linneberg, A.; Miki, T.; Pedersen, O.; Samani, N.J.; Sorensen, T.I.; Takayanagi, R.; Toniolo, D.; BIOS-consortium; CARDIo GRAMplusCD; LifeLines Cohort Study; InterAct Consortium; Ahsan, H.; Allayee, H.; Chen, Y.T.; Danesh, J.; Deary, I.J.; Franco, O.H.; Franke, L.; Heijman, B.T.; Holbrook, J.D.; Isaacs, A.; Kim, B.J.; Lin, X.; Liu, J.; März, W.; Metspalu, A.; Mohlke, K.L.; Sanghera, D.K.; Shu, X.O.; van Meurs, J.B.; Vithana, E.; Wickremasinghe, A.R.; Wijmenga, C.; Wolffenbuttel, B.H.; Yokota, M.; Zheng, W.; Zhu, D.; Vineis, P.; Kyrtopoulos, S.A.; Kleinjans, J.C.; McCarthy, M.I.; Soong, R.; Gieger, C.; Scott, J.; Teo, Y.Y.; He, J.; Elliott, P.; Tai, E.S.; van der Harst, P.; Kooner, J.S.; Chambers, J.C.We carried out a trans-ancestry genome-wide association and replication study of blood pressurephenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry. We find genetic variants at 12 new loci to be associated with blood pressure (P = 3.9 × 10(-11) to 5.0 × 10(-21)). The sentinel blood pressure SNPs are enriched for association with DNAmethylation at multiple nearby CpG sites, suggesting that, at some of the loci identified, DNAmethylation may lie on the regulatory pathway linking sequence variation to blood pressure. The sentinel SNPs at the 12 new loci point to genes involved in vascular smooth muscle (IGFBP3, KCNK3, PDE3A and PRDM6) and renal (ARHGAP24, OSR1, SLC22A7 and TBX2) function. The new and known genetic variants predict increased left ventricular mass, circulating levels of NT-proBNP, and cardiovascular and all-cause mortality (P = 0.04 to 8.6 × 10(-6)). Our results provide new evidence for the role of DNA methylation in blood pressure regulation.Item Epigenome-wide association of DNA methylation markers in peripheral blood from Indian Asians and Europeans with incident type 2 diabetes: a nested case-control study(The Lancet, Diabetes & Endocrinology, 2015) Chambers, J.C.; Loh, M.; Lehne, B.; Drong, A.; Kriebel, J.; Motta, V.; Wahl, S.; Elliott., H.R; Rota, F.; Scott, W.R.; Zhang, W.; Tan, S.T.; Campanella, G.; Chadeau-Hyam, M.; Yengo, L.; Richmond, R.C.; Adamowicz-Brice, M.; Afzal, U.; Bozaoglu, K.; Mok, Z.Y.; Ng, H.K.; Pattou, F.; Prokisch, H.; Rozario, M.A.; Tarantini, L.; Abbott, J.; Ala-Korpela, M.; Albetti, B.; Ammerpohl, O.; Bertazzi, P.A.; Blancher, C.; Caiazzo, R.; Danesh, J.; Gaunt, T.R.; de Lusignan, S.; Gieger, C.; Illig, T.; Jha, S.; Jones, S.; Jowett, J.; Kangas, A.J.; Kasturiratne, A.; Kato, N.; Kotea, N.; Kowlessur, S.; Pitkäniemi, J.; Punjabi, P.; Saleheen, D.; Schafmayer, C.; Soininen, P.; Tai, E.S.; Thorand, B.; Tuomilehto, J.; Wickremasinghe, A.R.; Kyrtopoulos, S.A.; Aitman, T.J.; Herder, C.; Hampe, J.; Cauchi, S.; Relton, C.L.; Froguel, P.; Soong, R.; Vineis, P.; Jarvelin, M.R.; Scott, J.; Grallert, H.; Bollati, V.; Elliott, P.; McCarthy, M.I.; Kooner, J.S. JBACKGROUND: Indian Asians, who make up a quarter of the world's population, are at high risk of developing type 2 diabetes. We investigated whether DNA methylation is associated with future type 2 diabetes incidence in Indian Asians and whether differences in methylation patterns between Indian Asians and Europeans are associated with, and could be used to predict, differences in the magnitude of risk of developing type 2 diabetes. METHODS: We did a nested case-control study of DNA methylation in Indian Asians and Europeans with incident type 2 diabetes who were identified from the 8-year follow-up of 25 372 participants in the London Life Sciences Prospective Population (LOLIPOP) study. Patients were recruited between May 1, 2002, and Sept 12, 2008. We did epigenome-wide association analysis using samples from Indian Asians with incident type 2 diabetes and age-matched and sex-matched Indian Asian controls, followed by replication testing of top-ranking signals in Europeans. For both discovery and replication, DNA methylation was measured in the baseline blood sample, which was collected before the onset of type 2 diabetes. Epigenome-wide significance was set at p<1 × 10(-7). We compared methylation levels between Indian Asian and European controls without type 2 diabetes at baseline to estimate the potential contribution of DNA methylation to increased risk of future type 2 diabetes incidence among Indian Asians. FINDINGS: 1608 (11•9%) of 13 535 Indian Asians and 306 (4•3%) of 7066 Europeans developed type 2 diabetes over a mean of 8•5 years (SD 1•8) of follow-up. The age-adjusted and sex-adjusted incidence of type 2 diabetes was 3•1 times (95% CI 2•8-3•6; p<0•0001) higher among Indian Asians than among Europeans, and remained 2•5 times (2•1-2•9; p<0•0001) higher after adjustment for adiposity, physical activity, family history of type 2 diabetes, and baseline glycemic measures. The mean absolute difference in methylation level between type 2 diabetes cases and controls ranged from 0•5% (SD 0•1) to 1•1% (0•2). Methylation markers at five loci were associated with future type 2 diabetes incidence; the relative risk per 1% increase in methylation was 1•09 (95% CI 1•07-1•11; p=1•3 × 10(-17)) for ABCG1, 0•94 (0•92-0•95; p=4•2 × 10(-11)) for PHOSPHO1, 0•94 (0•92-0•96; p=1•4 × 10(-9)) for SOCS3, 1•07 (1•04-1•09; p=2•1 × 10(-10)) for SREBF1, and 0•92 (0•90-0•94; p=1•2 × 10(-17)) for TXNIP. A methylation score combining results for the five loci was associated with future type 2 diabetes incidence (relative risk quartile 4 vs quartile 1 3•51, 95% CI 2•79-4•42; p=1•3 × 10(-26)), and was independent of established risk factors. Methylation score was higher among Indian Asians than Europeans (p=1 × 10(-34)). INTERPRETATION: DNA methylation might provide new insights into the pathways underlying type 2 diabetes and offer new opportunities for risk stratification and prevention of type 2 diabetes among Indian Asians. FUNDING: The European Union, the UK National Institute for Health Research, the Welcome Trust, the UK Medical Research Council, Action on Hearing Loss, the UK Biotechnology and Biological Sciences Research Council, the Oak Foundation, the Economic and Social Research Council, Helmholtz Zentrum Munchen, the German Research Center for Environmental Health, the German Federal Ministry of Education and Research, the German Center for Diabetes Research, the Munich Center for Health Sciences, the Ministry of Science and Research of the State of North Rhine-Westphalia, and the German Federal Ministry of Health. Copyright © 2015 Elsevier Ltd. All rights reserved.