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Reevaluation of SNP heritability in complex human traits

Open access
the UCLEB Consortium, Speed, Doug, Cai, Na, Johnson, Michael R, Nejentsev, Sergey, Balding, David J·2017·Nature Genetics

Abstract

SNP heritability, the proportion of phenotypic variance explained by SNPs, has been reported for many hundreds of traits. Its estimation requires strong prior assumptions about the distribution of heritability across the genome, but current assumptions have not been thoroughly tested. By analyzing imputed data for a large number of human traits, we empirically derive a model that more accurately describes how heritability varies with minor allele frequency (MAF), linkage disequilibrium (LD) and genotype certainty. Across 19 traits, our improved model leads to estimates of common SNP heritability on average 43% (s.d. 3%) higher than those obtained from the widely used software GCTA and 25% (s.d. 2%) higher than those from the recently proposed extension GCTA-LDMS. Previously, DNase I hypersensitivity sites were reported to explain 79% of SNP heritability; using our improved heritability model, their estimated contribution is only 24%.

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Metadata

Authors
the UCLEB Consortium, Speed, D., Cai, N., Johnson, M. R., Nejentsev, S., & Balding, D. J.
Venue
Nature Genetics
Published
2017-05-22
Volume
49
Issue
7
Pages
986-992
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W2617742891
Cited by
456
References
22
FWCI
41.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Reevaluation of SNP heritability in complex human traits. https://app.cochat.ai/papers/10.1038/ng.3865
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the UCLEB Consortium, Speed, D., Cai, N., Johnson, M. R., Nejentsev, S., & Balding, D. J. (2017). Reevaluation of SNP heritability in complex human traits. Nature Genetics. https://doi.org/10.1038/ng.3865

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