Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index
Date
2015
Authors
Yang, J.
Bakshi, A.
Zhu, Z.
Hemani, G.
Lee, S.H.
Visscher, P.M.
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Journal article
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Nature Genetics, 2015; 47(10):1114-1120
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Abstract
We propose a method (GREML-LDMS) to estimate heritability for human complex traits in unrelated individuals using whole-genome sequencing data. We demonstrate using simulations based on whole-genome sequencing data that similar to 97% and similar to 68% of variation at common and rare variants, respectively, can be captured by imputation. Using the GREML-LDMS method, we estimate from 44,126 unrelated individuals that all similar to 17 million imputed variants explain 56% (standard error (s.e.) = 2.3%) of variance for height and 27% (s.e. = 2.5%) of variance for body mass index (BMI), and we find evidence that height- and BMI-associated variants have been under natural selection.
Considering the imperfect tagging of imputation and potential overestimation of heritability from previous family-based studies, heritability is likely to be 60-70% for height and 30-40% for BMI. Therefore, the missing heritability is small for both traits. For further discovery of genes associated with complex traits, a study design with SNP arrays followed by imputation is more cost-effective than whole-genome sequencing at current prices.
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Data source: Supplementary information, https://doi.org/10.1038/ng.3390
Link to a related website: http://europepmc.org/articles/pmc4589513?pdf=render, Open Access via Unpaywall
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Copyright 2015 Nature Publishing Group