Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

TitleRefining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
Publication TypeJournal Article
Year of Publication2018
AuthorsMahajan A., Wessel J., Willems S.M, Zhao W., Robertson N.R, Chu A.Y, Gan W., Kitajima H., Taliun D., Rayner N.W et al.
JournalNat GenetNature GeneticsNature Genetics
Volume50
Pagination559-571
Date PublishedApr
ISBN Number1061-4036
Accession Number29632382
Abstract

We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 x 10(-7)); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio

Short TitleNat. Genet.Nat. Genet.
Alternate JournalNature genetics