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Trans-ethnic meta-regression of genome-wide association studies accounting for ancestry increases power for discovery and improves fine-mapping resolution.

Abstract:

Trans-ethnic meta-analysis of genome-wide association studies (GWAS) across diverse populations can increase power to detect complex trait loci when the underlying causal variants are shared between ancestry groups. However, heterogeneity in allelic effects between GWAS at these loci can occur that is correlated with ancestry. Here, a novel approach is presented to detect SNP association and quantify the extent of heterogeneity in allelic effects that is correlated with ancestry. We employ tr...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1093/hmg/ddx280

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Department:
Oxford, MSD, NDM, Human Genetics Wt Centre
Role:
Author
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Department:
Oxford, MSD, NDM, Human Genetics Wt Centre
Role:
Author
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Estonian Research Council More from this funder
European Regional Development Fund More from this funder
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Publisher:
Oxford University Press Publisher's website
Journal:
Human Molecular Genetics Journal website
Volume:
26
Issue:
18
Pages:
3639-3650
Publication date:
2017-07-05
Acceptance date:
2017-07-13
DOI:
EISSN:
1460-2083
ISSN:
0964-6906
Pubs id:
pubs:728763
URN:
uri:67506a0c-7deb-48b7-8980-efe5425b0dd5
UUID:
uuid:67506a0c-7deb-48b7-8980-efe5425b0dd5
Local pid:
pubs:728763

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