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Identification of type 2 diabetes loci in 433,540 East Asian individuals.


ABSTRACT: Meta-analyses of genome-wide association studies (GWAS) have identified more than 240 loci that are associated with type 2 diabetes (T2D)1,2; however, most of these loci have been identified in analyses of individuals with European ancestry. Here, to examine T2D risk in East Asian individuals, we carried out a meta-analysis of GWAS data from 77,418 individuals with T2D and 356,122 healthy control individuals. In the main analysis, we identified 301 distinct association signals at 183 loci, and across T2D association models with and without consideration of body mass index and sex, we identified 61 loci that are newly implicated in predisposition to T2D. Common variants associated with T2D in both East Asian and European populations exhibited strongly correlated effect sizes. Previously undescribed associations include signals in or near GDAP1, PTF1A, SIX3, ALDH2, a microRNA cluster, and genes that affect the differentiation of muscle and adipose cells3. At another locus, expression quantitative trait loci at two overlapping T2D signals affect two genes-NKX6-3 and ANK1-in different tissues4-6. Association studies in diverse populations identify additional loci and elucidate disease-associated genes, biology, and pathways.

SUBMITTER: Spracklen CN 

PROVIDER: S-EPMC7292783 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Identification of type 2 diabetes loci in 433,540 East Asian individuals.

Spracklen Cassandra N CN   Horikoshi Momoko M   Kim Young Jin YJ   Lin Kuang K   Bragg Fiona F   Moon Sanghoon S   Suzuki Ken K   Tam Claudia H T CHT   Tabara Yasuharu Y   Kwak Soo-Heon SH   Takeuchi Fumihiko F   Long Jirong J   Lim Victor J Y VJY   Chai Jin-Fang JF   Chen Chien-Hsiun CH   Nakatochi Masahiro M   Yao Jie J   Choi Hyeok Sun HS   Iyengar Apoorva K AK   Perrin Hannah J HJ   Brotman Sarah M SM   van de Bunt Martijn M   Gloyn Anna L AL   Below Jennifer E JE   Boehnke Michael M   Bowden Donald W DW   Chambers John C JC   Mahajan Anubha A   McCarthy Mark I MI   Ng Maggie C Y MCY   Petty Lauren E LE   Zhang Weihua W   Morris Andrew P AP   Adair Linda S LS   Akiyama Masato M   Bian Zheng Z   Chan Juliana C N JCN   Chang Li-Ching LC   Chee Miao-Li ML   Chen Yii-Der Ida YI   Chen Yuan-Tsong YT   Chen Zhengming Z   Chuang Lee-Ming LM   Du Shufa S   Gordon-Larsen Penny P   Gross Myron M   Guo Xiuqing X   Guo Yu Y   Han Sohee S   Howard Annie-Green AG   Huang Wei W   Hung Yi-Jen YJ   Hwang Mi Yeong MY   Hwu Chii-Min CM   Ichihara Sahoko S   Isono Masato M   Jang Hye-Mi HM   Jiang Guozhi G   Jonas Jost B JB   Kamatani Yoichiro Y   Katsuya Tomohiro T   Kawaguchi Takahisa T   Khor Chiea-Chuen CC   Kohara Katsuhiko K   Lee Myung-Shik MS   Lee Nanette R NR   Li Liming L   Liu Jianjun J   Luk Andrea O AO   Lv Jun J   Okada Yukinori Y   Pereira Mark A MA   Sabanayagam Charumathi C   Shi Jinxiu J   Shin Dong Mun DM   So Wing Yee WY   Takahashi Atsushi A   Tomlinson Brian B   Tsai Fuu-Jen FJ   van Dam Rob M RM   Xiang Yong-Bing YB   Yamamoto Ken K   Yamauchi Toshimasa T   Yoon Kyungheon K   Yu Canqing C   Yuan Jian-Min JM   Zhang Liang L   Zheng Wei W   Igase Michiya M   Cho Yoon Shin YS   Rotter Jerome I JI   Wang Ya-Xing YX   Sheu Wayne H H WHH   Yokota Mitsuhiro M   Wu Jer-Yuarn JY   Cheng Ching-Yu CY   Wong Tien-Yin TY   Shu Xiao-Ou XO   Kato Norihiro N   Park Kyong-Soo KS   Tai E-Shyong ES   Matsuda Fumihiko F   Koh Woon-Puay WP   Ma Ronald C W RCW   Maeda Shiro S   Millwood Iona Y IY   Lee Juyoung J   Kadowaki Takashi T   Walters Robin G RG   Kim Bong-Jo BJ   Mohlke Karen L KL   Sim Xueling X  

Nature 20200506 7811


Meta-analyses of genome-wide association studies (GWAS) have identified more than 240 loci that are associated with type 2 diabetes (T2D)<sup>1,2</sup>; however, most of these loci have been identified in analyses of individuals with European ancestry. Here, to examine T2D risk in East Asian individuals, we carried out a meta-analysis of GWAS data from 77,418 individuals with T2D and 356,122 healthy control individuals. In the main analysis, we identified 301 distinct association signals at 183  ...[more]

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