Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/24629
Title: Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
Authors: 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.
Keywords: Diabetes
Populations
Issue Date: 2022
Publisher: Nature Publishing Company, New York
Citation: Nature Genetics.2022;54(5):560-572.
Abstract: 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.
Description: Indexed in MEDLINE.
URI: http://repository.kln.ac.lk/handle/123456789/24629
ISSN: 1061-4036
Appears in Collections:Journal/Magazine Articles

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