Imperial College London

DrWeihuaZhang

Faculty of MedicineSchool of Public Health

Honorary Research Associate
 
 
 
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Contact

 

+44 (0)20 7594 1612weihua.zhang

 
 
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Location

 

165Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Loh:2022:10.1038/s42003-022-03248-5,
author = {Loh, M and Zhang, W and Ng, HK and Schmid, K and Lamri, A and Tong, L and Ahmad, M and Lee, J-J and Ng, MCY and Petty, LE and Spracklen, CN and Takeuchi, F and Islam, MT and Jasmine, F and Kasturiratne, A and Kibriya, M and Mohlke, KL and Pare, G and Prasad, G and Shahriar, M and Chee, ML and de, Silva HJ and Engert, JC and Gerstein, HC and Mani, KR and Sabanayagam, C and Vujkovic, M and Wickremasinghe, AR and Wong, TY and Yajnik, CS and Yusuf, S and Ahsan, H and Bharadwaj, D and Anand, SS and Below, JE and Boehnke, M and Bowden, DW and Chandak, GR and Cheng, C-Y and Kato, N and Mahajan, A and Sim, X and McCarthy, MI and Morris, AP and Kooner, JS and Saleheen, D and Chambers, J},
doi = {10.1038/s42003-022-03248-5},
journal = {Communications Biology},
title = {Identification of genetic effects underlying Type 2 Diabetes in South Asian and European populations},
url = {http://dx.doi.org/10.1038/s42003-022-03248-5},
volume = {5},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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=4.7x10-8 to 5.2x10-12), 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.
AU - Loh,M
AU - Zhang,W
AU - Ng,HK
AU - Schmid,K
AU - Lamri,A
AU - Tong,L
AU - Ahmad,M
AU - Lee,J-J
AU - Ng,MCY
AU - Petty,LE
AU - Spracklen,CN
AU - Takeuchi,F
AU - Islam,MT
AU - Jasmine,F
AU - Kasturiratne,A
AU - Kibriya,M
AU - Mohlke,KL
AU - Pare,G
AU - Prasad,G
AU - Shahriar,M
AU - Chee,ML
AU - de,Silva HJ
AU - Engert,JC
AU - Gerstein,HC
AU - Mani,KR
AU - Sabanayagam,C
AU - Vujkovic,M
AU - Wickremasinghe,AR
AU - Wong,TY
AU - Yajnik,CS
AU - Yusuf,S
AU - Ahsan,H
AU - Bharadwaj,D
AU - Anand,SS
AU - Below,JE
AU - Boehnke,M
AU - Bowden,DW
AU - Chandak,GR
AU - Cheng,C-Y
AU - Kato,N
AU - Mahajan,A
AU - Sim,X
AU - McCarthy,MI
AU - Morris,AP
AU - Kooner,JS
AU - Saleheen,D
AU - Chambers,J
DO - 10.1038/s42003-022-03248-5
PY - 2022///
SN - 2399-3642
TI - Identification of genetic effects underlying Type 2 Diabetes in South Asian and European populations
T2 - Communications Biology
UR - http://dx.doi.org/10.1038/s42003-022-03248-5
UR - https://www.nature.com/articles/s42003-022-03248-5
UR - http://hdl.handle.net/10044/1/96151
VL - 5
ER -