volume 54 issue 5 pages 560-572

Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Anubha Mahajan 1, 2, 3
Cassandra N Spracklen 4, 5
Weihua Zhang 6, 7
Maggie C.Y. Ng 8, 9, 10
Lauren E. Petty 8
Hidetoshi Kitajima 2, 11, 12, 13
Grace Z. Yu 1, 2
Leo Speidel 14, 15
Young Jin Kim 16
Momoko Horikoshi 17
Josep Mercader 18, 19, 20
Daniel Taliun 21
Sanghoon Moon 2, 16
Soo Heon Kwak 2, 22
Neil R. Robertson 1, 2
Nigel W Rayner 1, 2, 23, 24
Marie Loh 6, 25, 26
Bong-Jo Kim 16
Joshua Chiou 27, 28
Irene Miguel-Escalada 29, 30
Kuang Lin 31
Fiona Bragg 31, 32
Michael H Preuss 33
Fumihiko Takeuchi 34
Jana Nano 35
Xiuqing Guo 36
Amel Lamri 37, 38
Masahiro Nakatochi 39
Robert A Scott 40
Jung-Jin Lee 41
Alicia Huerta Chagoya 42, 43
Mariaelisa Graff 44
Jin Fang Chai 45
Esteban J. Parra 46
JIE YAO 36
Lawrence F. Bielak 47
Yasuharu Tabara 48
Yang Hai 36
Valgerdur Steinthorsdottir 49
James P. Cook 50
Mart Kals 51
Niels Grarup 52
Ellen M. Schmidt 21
Ian Pan 53
Tamar Sofer 54, 55, 56
Matthias Wuttke 57
Chloé Sarnowski 58, 59
Christian Gieger 60, 61, 62
Darryl Nousome 63
Stella Trompet 64, 65
Jirong Long 66
Meng Sun 2
Tong Lin 67
Wei-Min Chen 68
Meraj Ahmad 69
Raymond Noordam 65
Victor J Y Lim 45
Claudia H.T. Tam 70, 71
Chien-Hsiun Chen 72
Laura M Raffield 4
Cécile Lecoeur 73, 74
Bram Peter Prins 23
Aude Nicolas 75
Lisa R Yanek 76
GUANJIE CHEN 77
RICHARD A. JENSEN 78
Salman Tajuddin 79
Edmond K Kabagambe 66, 80
Ping An 81
Anny H. Xiang 82
Hyeok Sun Choi 83
Brian E. Cade 20, 55
Jingyi Tan 36
Jack Flanagan 17, 50
Fernando Abaitua 2, 84
Linda S Adair 85
Adebowale Adeyemo 2, 77
Carlos A. Aguilar-Salinas 86
Masato Akiyama 87, 88
Sonia S. Anand 37, 38, 89
Alain Bertoni 90
Zheng Bian 91
Jette Bork-Jensen 52
Ivan Brandslund 92, 93
Jennifer A. Brody 78
Chad M. Brummett 94
Thomas A. Buchanan 95
Mickaël Canouil 73, 74
Juliana C.N. Chan 70, 71, 96, 97
Li-Ching Chang 72
Miao Li Chee 98
Ji Chen 99, 100
Shyh-Huei Chen 101
Yuan-Tsong Chen 72
Zhengming Chen 31, 32
LEE-MING CHUANG 102, 103
Mary Cushman 104
Swapan K. Das 105
H Janaka De Silva 106
George Dedoussis 107
Latchezar Dimitrov 9
Ayo P. Doumatey 77
Shufa Du 85, 108
Qing Duan 4
Kai-Uwe Eckardt 109, 110
Leslie S Emery 111
Daniel S Evans 112
Michele K. Evans 79
Krista Fischer 51
James S Floyd 78
Ian Ford 113
Myriam Fornage 114
Oscar H. Franco 35
Timothy M. Frayling 115
Barry I Freedman 116
Christian Fuchsberger 21, 117
Pauline Genter 118
Hertzel C. Gerstein 37, 38, 89
Vilmantas Giedraitis 119
Clicerio Gonzalez-Villalpando 120
María Elena González Villalpando 120
Mark O. Goodarzi 121
Penny Gordon-Larsen 85, 108
David Gorkin 122
Myron Gross 123
Yu Guo 91
Sophie Hackinger 23
Sohee Han 16
Andrew T. Hattersley 124
Christian Herder 60, 125, 126
Annie Green Howard 108, 127
Willa Hsueh 128
Mengna Huang 53, 129
Wei Huang 130
Yi-Jen Hung 131, 132
MI YEONG HWANG 16
Chii-Min Hwu 133, 134
Sahoko Ichihara 135
Mohammad Arfan Ikram 35
Martin Ingelsson 119
Md. Tariqul Islam 136
Masato Isono 34
Hye Mi Jang 16
Farzana Jasmine 67
Guozhi Jiang 70, 71
Jost B. Jonas 137
Marit E. Jørgensen 138, 139
Torben Jørgensen 140, 141, 142
Yoichiro Kamatani 87, 143
Fouad R Kandeel 144
Anuradhani Kasturiratne 145
Tomohiro Katsuya 146, 147
Varinderpal Kaur 19
Takahisa Kawaguchi 48
Jacob M. Keaton 9, 66, 148
Abel N Kho 149, 150
Chiea Chuen Khor 151
Muhammad G. Kibriya 67
Duk-Hwan Kim 152
Katsuhiko KOHARA 153, 154
Jennifer Kriebel 60, 61, 62
Florian Kronenberg 155
Johanna Kuusisto 156
Kristi Läll 51, 157
Leslie A Lange 158
Myung-Shik Lee 159, 160
Nanette R. Lee 161
Aaron Leong 19, 162, 163
Liming Li 164
Yun Li 4
Ruifang Li-Gao 165
Symen Ligthart 35
Cecilia M Lindgren 2, 166, 167
Allan Linneberg 140, 168
Ching-Ti Liu 58
Jianjun Liu 151, 169
Adam E Locke 170, 171, 172
Tin Louie 111
Jian'an Luan 40
Andrea O Luk 70, 71
Xi Luo 173
Jun Lv 164
Valeriya Lyssenko 174, 175
Vasiliki Mamakou 176
K. Radha Mani 69
Thomas Meitinger 177, 178, 179
Andres Metspalu 51
Andrew D. Morris 180
Girish N Nadkarni 33, 181, 182
Jerry L. Nadler 183
Michael A Nalls 75, 184, 185
Uma Nayak 68
Suraj S Nongmaithem 69
Ioanna Ntalla 186
Yukinori Okada 187, 188, 189
Lorena Orozco 190
Sanjay R. Patel 191
Mark A Pereira 192
Annette Peters 60, 61, 179
Fraser J Pirie 193
Bianca Porneala 163
Gauri Prasad 194, 195
Sebastian Preissl 122
Laura J. Rasmussen-Torvik 196
Alexander P Reiner 197
Michael Roden 60, 125, 126
Rebecca Rohde 44
Kathryn Roll 36
Charumathi Sabanayagam 98, 198, 199
Maike Sander 200, 201, 202
Kevin Sandow 36
Naveed Sattar 203
Sebastian Schönherr 155
Claudia Schurmann 33, 181, 204
Mohammad Shahriar 67, 205
Jinxiu Shi 130
Dong Mun Shin 16
Daniel Shriner 77
Jennifer A Smith 47, 206
Wing-Yee SO 2, 70, 96
Alena Stančáková 156
Adrienne M. Stilp 111
Konstantin Strauch 2, 207, 208, 209
Ken Suzuki 17, 87, 187, 210
Atsushi Takahashi 87, 211
Kent D. Taylor 36
Barbara Thorand 60, 61
Gudmar Thorleifsson 49
Unnur Thorsteinsdottir 49, 212
Brian Tomlinson 70, 213
Jason M Torres 2, 214
Fuu-Jen Tsai 215
Jaakko Tuomilehto 216, 217, 218, 219
Teresa Tusié Luna 220, 221
Miriam S. Udler 18, 19, 162
Adán Valladares Salgado 222
Rob M. van Dam 45, 169
Jan B. van Klinken 223, 224, 225
Rohit Varma 226
Marijana Vujkovic 227
Niels Wacher-Rodarte 228
Eleanor Wheeler 40
Eric A. Whitsel 44, 229
Ananda R Wickremasinghe 145
Ko Willems van Dijk 223, 224, 230
Daniel R. Witte 231, 232
Chittaranjan S. Yajnik 233
Ken Yamamoto 234
Toshimasa Yamauchi 210
Loïc Yengo 235
Kyungheon Yoon 16
Canqing Yu 164
JIAN-MIN YUAN 236, 237
Salim Yusuf 37, 38, 89
Liang Zhang 98
Wei Zheng 66
Sina Rüeger 238
Pietro Della Briotta Parolo 239
Yoonjung Yoonie Joo 118
M. Geoffrey Hayes 20, 55, 240
LESLIE J. RAFFEL 83
Michiya Igase 241
Eli Ipp 81
Susan Redline 242
Yoon Shin Cho 47
Lars Lind 243, 244
M A Province 79
Craig L. Hanis 78, 245, 246
Erik Ingelsson 77
A B Zonderman 76
Bruce M. Psaty 48
Ya-Xing Wang 90, 248
C Rotimi 23, 24, 249
Diane M Becker 250
Fumihiko Matsuda 251
Yongmei Liu 197
Eleftheria Zeggini 192
Mitsuhiro YOKOTA 252, 253
Charles Kooperberg 73, 74, 254
James S. Pankow 255
James C Engert 132, 134, 256
Yii-Der Ida Chen 47
P. Froguel 72
James G Wilson 257, 258, 259
Wayne H.-H. Sheu 70, 71, 96, 97
Sharon L. R. Kardia 98, 198, 199
Jer-Yuarn Wu 174, 260
M Hayes 165
R. C.W. Ma 69
Tien Yin Wong 148
LEIF C. GROOP 194, 261
Dennis O. Mook-Kanamori 38, 262
Giriraj R. Chandak 68
Francis S. Collins 67
Dwaipayan Bharadwaj 193
Guillaume Paré 66
Michèle M. Sale 22, 263, 264
Habibul Ahsan 64, 265
Ayesha A. Motala 222
Xiao-Ou Shu 63
Kyong Soo Park 60, 61, 62
J. Wouter Jukema 98, 198, 199
Miguel Cruz 33, 181, 204
Roberta McKean-Cowdin 6, 35, 266
Harald Grallert 45, 169, 267
Ching-Yu Cheng 58
Erwin P. Bottinger 34
Abbas Dehghan 156
E Shyong Tai 57
Josée Dupuis 268, 269
Norihiro Kato 270
Markku Laakso 53, 129, 271
Anna Köttgen 21
WOON-PUAY KOH 7, 266, 272, 273
Colin N.A. Palmer 33, 52, 274
Simin Liu 44
Goncalo Abecasis 63
Jaspal S. Kooner 18, 19, 162
Ruth J.F. Loos 41, 275, 276
Kari E. North 52
Christopher A. Haiman 52
Jose C Florez 51
Danish Saleheen 40, 277
Torben Hansen 40
Oluf Pedersen 17, 278, 279
Reedik Mägi 210, 280
Claudia Langenberg 16
Nicholas J Wareham 31, 32
SHIRO MAEDA 31, 32
Takashi Kadowaki 49, 212
Juyoung Lee 2, 281
Iona Y. Millwood 29, 30, 282
Robin G. Walters 200, 201
Kari Stefansson 18, 162, 163
Simon R Myers 4
Jorge Ferrer 1, 2, 283, 284
Kyle J Gaulton 9, 10, 285
James B. Meigs 8
Karen L Mohlke 6, 7, 25, 266, 272
Anna L. Gloyn 45
Donald W Bowden 21
Jennifer E. Below 36
John C Chambers 1, 2, 3, 283
Xueling Sim 2, 50, 51, 286, 287
3
 
Genentech, South San Francisco, USA
7
 
Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, London, UK
16
 
Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju-si, Republic of Korea
28
 
Internal Medicine Research Unit, Pfizer Worldwide Research, Cambridge, USA
49
 
deCODE genetics, Amgen Inc., Reykjavik, Iceland
60
 
German Center for Diabetes Research (DZD), Neuherberg, Germany
80
 
Division of Academics, Ochsner Health, New Orleans, USA
82
 
Department of Research and Evaluation, Division of Biostatistics Research, Kaiser Permanente of Southern California, Pasadena, USA
84
 
Vertex Pharmaceuticals Ltd, Oxford, UK
117
 
Institute for Biomedicine, EURAC Research, Affiliated Institute of the University of Lübeck, Bolzano, Italy
130
 
Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai (CHGC) and Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), Shanghai, China
131
 
Division of Endocrine and Metabolism, Tri-Service General Hospital Songshan Branch, Taipei, Taiwan
136
 
University of Chicago Research Bangladesh, Dhaka, Bangladesh
137
 
Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland
140
 
Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg hospital, Frederiksberg, Denmark
154
 
Ibusuki Kozenkai Hospital, Ibusuki, Japan
161
 
USC—Office of Population Studies Foundation, Inc., University of San Carlos, Cebu City, Philippines
172
 
Regeneron Genetics Center, Tarrytown, USA
184
 
Data Tecnica International LLC, Glen Echo, USA
185
 
Center for Alzheimer’s and Related Dementias, National Institutes of Health, Baltimore, USA
194
 
Academy of Scientific and Innovative Research, CSIR—Human Resource Development Centre Campus, Ghaziabad, India
212
 
Faculty of Medicine, University of Reykjavik, Reykjavik, Iceland
215
 
Department of Medical Genetics and Medical Research, China Medical University Hospital, Taichung, Taiwan
217
 
National School of Public Health, Madrid, Spain
226
 
Southern California Eye Institute, CHA Hollywood Presbyterian Medical Center, Los Angeles, USA
232
 
Danish Diabetes Academy, Odense, Denmark
233
 
Diabetology Research Centre, King Edward Memorial Hospital and Research Centre, Pune, India
256
 
Division of Endocrinology and Metabolism, Department of Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
276
 
Center for Non-Communicable Diseases, Karachi, Pakistan
Publication typeJournal Article
Publication date2022-05-12
scimago Q1
wos Q1
SJR16.586
CiteScore45.1
Impact factor29.0
ISSN10614036, 15461718
Genetics
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. Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.
Found 
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Mahajan A. et al. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation // Nature Genetics. 2022. Vol. 54. No. 5. pp. 560-572.
GOST all authors (up to 50) Copy
Mahajan A. et al. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation // Nature Genetics. 2022. Vol. 54. No. 5. pp. 560-572.
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BibTex (up to 50 authors) Copy
@article{2022_Mahajan,
author = {Anubha Mahajan and Cassandra N Spracklen and Weihua Zhang and Maggie C.Y. Ng and Lauren E. Petty and Hidetoshi Kitajima and Grace Z. Yu and Leo Speidel and Young Jin Kim and Momoko Horikoshi and Josep Mercader and Daniel Taliun and Sanghoon Moon and Soo Heon Kwak and Neil R. Robertson and Nigel W Rayner and Marie Loh and Bong-Jo Kim and Joshua Chiou and Irene Miguel-Escalada and Kuang Lin and Fiona Bragg and Michael H Preuss and Fumihiko Takeuchi and Jana Nano and Xiuqing Guo and Amel Lamri and Masahiro Nakatochi and Robert A Scott and Jung-Jin Lee and Alicia Huerta Chagoya and Mariaelisa Graff and Jin Fang Chai and Esteban J. Parra and JIE YAO and Lawrence F. Bielak and Yasuharu Tabara and Yang Hai and Valgerdur Steinthorsdottir and James P. Cook and Mart Kals and Niels Grarup and Ellen M. Schmidt and Ian Pan and Tamar Sofer and Matthias Wuttke and Chloé Sarnowski and Christian Gieger and Darryl Nousome and Stella Trompet and others},
title = {Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation},
journal = {Nature Genetics},
year = {2022},
volume = {54},
publisher = {Springer Nature},
month = {may},
url = {https://doi.org/10.1038/s41588-022-01058-3},
number = {5},
pages = {560--572},
doi = {10.1038/s41588-022-01058-3}
}
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MLA Copy
Mahajan, Anubha, et al. “Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.” Nature Genetics, vol. 54, no. 5, May. 2022, pp. 560-572. https://doi.org/10.1038/s41588-022-01058-3.