Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps
File(s)1. Main text HRC-DIAMANTE.pdf (1.46 MB)
Accepted version
Author(s)
Type
Journal Article
Abstract
We expanded GWAS discovery for type 2 diabetes (T2D) by combining data from 898,130 European-descent individuals (9% cases), after imputation to high-density reference panels. With these data, we (i) extend the inventory of T2D-risk variants (243 loci, 135 newly implicated in T2D predisposition, comprising 403 distinct association signals); (ii) enrich discovery of lower-frequency risk alleles (80 index variants with minor allele frequency <5%, 14 with estimated allelic odds ratio >2); (iii) substantially improve fine-mapping of causal variants (at 51 signals, one variant accounted for >80% posterior probability of association (PPA)); (iv) extend fine-mapping through integration of tissue-specific epigenomic information (islet regulatory annotations extend the number of variants with PPA >80% to 73); (v) highlight validated therapeutic targets (18 genes with associations attributable to coding variants); and (vi) demonstrate enhanced potential for clinical translation (genome-wide chip heritability explains 18% of T2D risk; individuals in the extremes of a T2D polygenic risk score differ more than ninefold in prevalence).
Date Issued
2018-11-01
Date Acceptance
2018-08-10
Citation
Nature Genetics, 2018, 50 (11), pp.1505-1515
ISSN
1061-4036
Publisher
Nature Publishing Group
Start Page
1505
End Page
1515
Journal / Book Title
Nature Genetics
Volume
50
Issue
11
Copyright Statement
© 2018 The Author(s), under exclusive licence to Springer Nature America, Inc.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000448398000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Genetics & Heredity
GENOME-WIDE ASSOCIATION
SUSCEPTIBILITY LOCI
GENETIC ARCHITECTURE
DISEASE
IDENTIFICATION
EXPRESSION
METAANALYSIS
PHENOTYPES
TRAITS
SCORE
Publication Status
Published
Date Publish Online
2018-10-08