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Trans-ethnic meta-analysis and functional annotation illuminates the genetic architecture of fasting glucose and insulin

Abstract:
Knowledge of the genetic basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI) in African ancestry (AA) individuals has been limited. In non-diabetic subjects of AA (n = 20,209) and European ancestry (EA; n = 57,292), we performed trans-ethnic (AA+EA) fine-mapping of 54 established EA FG or FI loci with detailed functional annotation, assessed their relevance in AA individuals, and sought previously undescribed loci through trans-ethnic (AA+EA) meta-analysis. We narrowed credible sets of variants driving association signals for 22/54 EA-associated loci; 18/22 credible sets overlapped with active islet-specific enhancers or transcription factor (TF) binding sites, and 21/22 contained at least one TF motif. Of the 54 EA-associated loci, 23 were shared between EA and AA. Replication with an additional 10,096 AA individuals identified two previously undescribed FI loci, chrX FAM133A (rs213676) and chr5 PELO (rs6450057). Trans-ethnic analyses with regulatory annotation illuminate the genetic architecture of glycemic traits and suggest gene regulation as a target to advance precision medicine for T2D. Our approach to utilize state-of-the-art functional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offers a framework for further follow-up and characterization of GWAS signals of complex trait loci.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.ajhg.2016.05.006

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Publisher:
Elsevier
Journal:
American Journal of Human Genetics More from this journal
Volume:
99
Issue:
1
Pages:
56-75
Publication date:
2016-07-16
Acceptance date:
2016-05-02
DOI:
EISSN:
1537-6605
ISSN:
0002-9297
Pmid:
27321945


Language:
English
Keywords:
Pubs id:
pubs:630164
UUID:
uuid:34aa6676-b3ba-4746-afd1-fa6129c3e6d7
Local pid:
pubs:630164
Source identifiers:
630164
Deposit date:
2016-09-06
ARK identifier:

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