Analysis of genetic dominance in the UK Biobank

Author:

Palmer Duncan S.12ORCID,Zhou Wei123ORCID,Abbott Liam123ORCID,Wigdor Emilie M.4ORCID,Baya Nikolas123ORCID,Churchhouse Claire123ORCID,Seed Cotton23,Poterba Tim23ORCID,King Daniel23ORCID,Kanai Masahiro123ORCID,Bloemendal Alex123,Neale Benjamin M.123ORCID

Affiliation:

1. Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.

2. Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

3. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

4. Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK.

Abstract

Classical statistical genetics theory defines dominance as any deviation from a purely additive, or dosage, effect of a genotype on a trait, which is known as the dominance deviation. Dominance is well documented in plant and animal breeding. Outside of rare monogenic traits, however, evidence in humans is limited. We systematically examined common genetic variation across 1060 traits in a large population cohort (UK Biobank, N = 361,194 samples analyzed) for evidence of dominance effects. We then developed a computationally efficient method to rapidly assess the aggregate contribution of dominance deviations to heritability. Lastly, observing that dominance associations are inherently less correlated between sites at a genomic locus than their additive counterparts, we explored whether they may be leveraged to identify causal variants more confidently.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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