Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index.
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Yang J, Bakshi A, Zhu Z, Hemani G, Vinkhuyzen AA, Lee SH, Robinson MR, Perry JR, Nolte IM, van Vliet-Ostaptchouk JV, Snieder H, LifeLines Cohort Study , Esko T, Milani L, Mägi R, Metspalu A, Hamsten A, Magnusson PK, Pedersen NL, Ingelsson E, Soranzo N, Keller MC, Wray NR, Goddard ME, Visscher PM
Nat. Genet. 47 (10) 1114-1120 [2015-10-00; online 2015-08-31]
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 ∼97% and ∼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 ∼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.
PubMed 26323059
DOI 10.1038/ng.3390
Crossref 10.1038/ng.3390
pii: ng.3390
pmc: PMC4589513
mid: NIHMS712807
dbGaP: phs000090
dbGaP: phs000091
dbGaP: phs000428