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Loh, M.* ; Zhang, W.* ; Ng, H.K.* ; Schmid, K. ; Lamri, A.* ; Tong, L.* ; Ahmad, M.* ; Lee, J.J.* ; Ng, M.C.Y.* ; Petty, L.E.* ; Spracklen, C.N.* ; Takeuchi, F.* ; Islam, M.T.* ; Jasmine, F.* ; Kasturiratne, A.* ; Kibriya, M.G.* ; Mohlke, K.L.* ; Paré, G.* ; Prasad, G.* ; Shahriar, M.* ; Chee, M.L.* ; de Silva, H.J.* ; Engert, J.C.* ; Gerstein, H.C.* ; Mani, K.R.* ; Sabanayagam, C.* ; Vujkovic, M.R.* ; Wickremasinghe, A.R.* ; Wong, T.Y.* ; Yajnik, C.S.* ; Yusuf, S.* ; Ahsan, H.* ; Bharadwaj, D.* ; Anand, S.S.* ; Below, J.E.* ; Boehnke, M.* ; Bowden, D.W.* ; Chandak, G.R.* ; Cheng, C.Y.* ; Kato, N.* ; Mahajan, A.* ; Sim, X.* ; McCarthy, M.I.* ; Morris, A.P.* ; Kooner, J.S.* ; Saleheen, D.*

Identification of genetic effects underlying type 2 diabetes in South Asian and European populations.

Comm. Biol. 5:329 (2022)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publication type Article: Journal article
Document type Scientific Article
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 2399-3642
e-ISSN 2399-3642
Journal Communications Biology
Quellenangaben Volume: 5, Issue: 1, Pages: , Article Number: 329 Supplement: ,
Publisher Springer
Publishing Place London
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-503800-001
DOI 10.1038/s42003-022-03248-5
WOS ID WOS:000779754900007
Scopus ID 85128087036
PubMed ID 35393509
Erfassungsdatum 2022-05-23
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