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Estimating heritability without environmental bias

View ORCID ProfileAlexander I. Young, Michael L. Frigge, Daniel F. Gudbjartsson, Gudmar Thorleifsson, Gyda Bjornsdottir, Patrick Sulem, Gisli Masson, Unnur Thorsteinsdottir, Kari Stefansson, Augustine Kong
doi: https://doi.org/10.1101/218883
Alexander I. Young
University of Oxford;
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  • For correspondence: alextisyoung@gmail.com
Michael L. Frigge
deCODE genetics;
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Daniel F. Gudbjartsson
deCOGE genetics;
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Gudmar Thorleifsson
deCODE genetics;
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Gyda Bjornsdottir
deCODE genetics;
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Patrick Sulem
deCODE genetics;
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Gisli Masson
deCODE genetics;
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Unnur Thorsteinsdottir
deCODE Genetics
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Kari Stefansson
deCODE genetics;
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Augustine Kong
University of Oxford;
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Abstract

Heritability measures the proportion of trait variation that is due to genetic inheritance. Measurement of heritability is of importance to the nature-versus-nurture debate. However, existing estimates of heritability could be biased by environmental effects. Here we introduce relatedness disequilibrium regression (RDR), a novel method for estimating heritability. RDR removes environmental bias by exploiting variation in relatedness due to random segregation. We use a sample of 54,888 Icelanders with both parents genotyped to estimate the heritability of 14 traits, including height (55.4%, S.E. 4.4%) and educational attainment (17.0%, S.E. 9.4%). Our results suggest that some other estimates of heritability could be inflated by environmental effects.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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  • Posted November 14, 2017.

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Estimating heritability without environmental bias
Alexander I. Young, Michael L. Frigge, Daniel F. Gudbjartsson, Gudmar Thorleifsson, Gyda Bjornsdottir, Patrick Sulem, Gisli Masson, Unnur Thorsteinsdottir, Kari Stefansson, Augustine Kong
bioRxiv 218883; doi: https://doi.org/10.1101/218883
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Estimating heritability without environmental bias
Alexander I. Young, Michael L. Frigge, Daniel F. Gudbjartsson, Gudmar Thorleifsson, Gyda Bjornsdottir, Patrick Sulem, Gisli Masson, Unnur Thorsteinsdottir, Kari Stefansson, Augustine Kong
bioRxiv 218883; doi: https://doi.org/10.1101/218883

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