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Title: Identification of genetic effects underlying type 2 diabetes in South Asian and European populations
Authors: Loh, Marie 
Zhang, Weihua
Ng, Hong Kiat
Schmid, Katharina
Lamri, Amel
Tong, Lin
Meraj Ahmad
Lee, Jung-Jin
Ng, Maggie C. Y.
Petty, Lauren E.
Spracklen, Cassandra N.
Takeuchi, Fumihiko
Md. Tariqul Islam
Jasmine, Farzana
Kasturiratne, Anuradhani
Muhammad Kibriya
Mohlke, Karen L.
Paré, Guillaume
Prasad, Gauri
Mohammad Shahriar
Chee, Miao Ling
de Silva, H. Janaka
Engert, James C.
Gerstein, Hertzel C.
Mani, K. Radha
Sabanayagam, Charumathi
Vujkovic, Marijana
Wickremasinghe, Ananda R.
Wong, Tien Yin
Yajnik, Chittaranjan S.
Salim Yusuf
Habibul Ahsan
Bharadwaj, Dwaipayan
Anand, Sonia S.
Below, Jennifer E.
Boehnke, Michael
Bowden, Donald W.
Chandak, Giriraj R.
Cheng, Ching-Yu
Kato, Norihiro
Mahajan, Anubha
Sim, Xueling
McCarthy, Mark I.
Morris, Andrew P.
Kooner, Jaspal S.
Saleheen, Danish
Chambers, John C.
Keywords: Science::Medicine
Issue Date: 2022
Source: Loh, M., Zhang, W., Ng, H. K., Schmid, K., Lamri, A., Tong, L., Meraj Ahmad, Lee, J., Ng, M. C. Y., Petty, L. E., Spracklen, C. N., Takeuchi, F., Md. Tariqul Islam, Jasmine, F., Kasturiratne, A., Muhammad Kibriya, Mohlke, K. L., Paré, G., Prasad, G., ...Chambers, J. C. (2022). Identification of genetic effects underlying type 2 diabetes in South Asian and European populations. Communications Biology, 5(1), 329-.
Project: NMRC/STaR/0028/2017
Journal: Communications Biology
Abstract: 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.
ISSN: 2399-3642
DOI: 10.1038/s42003-022-03248-5
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
Rights: © 2022 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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