Random glucose GWAS trans-ethnic meta-analysis in almost half a million individuals provides insights into diabetes pathophysiology, complications and treatment stratification

被引：0

作者：

Lagou, Vasiliki ^{[1
]}

Jiang, Longda ^{[2
]}

Ulrich, Anna ^{[3
]}

Zudina, Liudmila ^{[3
]}

Balkhiyarova, Zhanna ^{[3
]}

Faggian, Alessia ^{[3
]}

Maina, Jared ^{[4
]}

Deganutti, Giuseppe ^{[5
]}

Demirkan, Ayse

Reynolds, Christopher ^{[5
]}

Kaakinen, Marika

Jones, Ben ^{[6
]}

Prokopenko, Inga ^{[3
,4
]}

机构：

[1] Wellcome Sanger Inst, Hinxton, England

[2] Univ Queensland, Brisbane, Qld, Australia

[3] Univ Surrey, Clin & Expt Med, Guildford, Surrey, England

[4] Univ Lille, CNRS, Inst Pasteur Lille, UMR EGID 8199, Lille, France

[5] Coventry Univ, Ctr Sport Exercise & Life Sci, Coventry, W Midlands, England

[6] Imperial Coll London, Sect Endocrinol & Invest Med, London, England

[7] Meta Anal Glucose & Insulin Related Traits Cons, London, England

来源：

基金：

欧盟地平线“2020”;

关键词：

D O I：

暂无

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

C14.2

引用

页码：43 / 44

页数：2