Hidden heritability due to heterogeneity across seven populations

Author(s)
Tropf, Felix C
Lee, S Hong
Verweij, Renske M
Stulp, Gert
van der Most, Peter J
de Vlaming, Ronald
Bakshi, Andrew
Briley, Daniel A
Rahal, Charles
Hellpap, Robert
Nyman, Anastasia
Esko, Tõnu
Metspalu, Andres
Medland, Sarah E
Martin, Nicholas G
Barban, Nicola
Snieder, Harold
Robinson, Matthew R
Mills, Melinda C
Publication Date
2017-10
Abstract
<p>Meta-analyses of genome-wide association studies (GWAS), which dominate genetic discovery are based on data from diverse historical time periods and populations. Genetic scores derived from GWAS explain only a fraction of the heritability estimates obtained from whole-genome studies on single populations, known as the 'hidden heritability' puzzle. Using seven sampling populations (N=35,062), we test whether hidden heritability is attributed to heterogeneity across sampling populations and time, showing that estimates are substantially smaller from across compared to within populations. We show that the hidden heritability varies substantially: from zero (height), to 20% for BMI, 37% for education, 40% for age at first birth and up to 75% for number of children. Simulations demonstrate that our results more likely reflect heterogeneity in phenotypic measurement or gene-environment interaction than genetic heterogeneity. These findings have substantial implications for genetic discovery, suggesting that large homogenous datasets are required for behavioural phenotypes and that gene-environment interaction may be a central challenge for genetic discovery.</p>
Citation
Nature Human Behaviour, 1(10), p. 757-765
ISSN
2397-3374
Pubmed ID
29051922
Link
Publisher
Nature Publishing Group
Title
Hidden heritability due to heterogeneity across seven populations
Type of document
Journal Article
Entity Type
Publication

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