| Literature DB >> 30988446 |
Loic Yengo1, Matthew R Robinson2,3, Matthew C Keller4, Kathryn E Kemper2, Yuanhao Yang2, Maciej Trzaskowski2, Jacob Gratten2,5, Patrick Turley6,7, David Cesarini8,9,10, Daniel J Benjamin8,11,12, Naomi R Wray2,13, Michael E Goddard14,15, Jian Yang2,13, Peter M Visscher16,17.
Abstract
Preference for mates with similar phenotypes; that is, assortative mating, is widely observed in humans1-5 and has evolutionary consequences6-8. Under Fisher's classical theory6, assortative mating is predicted to induce a signature in the genome at trait-associated loci that can be detected and quantified. Here, we develop and apply a method to quantify assortative mating on a specific trait by estimating the correlation (θ) between genetic predictors of the trait from single nucleotide polymorphisms on odd- versus even-numbered chromosomes. We show by theory and simulation that the effect of assortative mating can be quantified in the presence of population stratification. We applied this approach to 32 complex traits and diseases using single nucleotide polymorphism data from ~400,000 unrelated individuals of European ancestry. We found significant evidence of assortative mating for height (θ = 3.2%) and educational attainment (θ = 2.7%), both of which were consistent with theoretical predictions. Overall, our results imply that assortative mating involves multiple traits and affects the genomic architecture of loci that are associated with these traits, and that the consequence of mate choice can be detected from a random sample of genomes.Entities:
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Year: 2018 PMID: 30988446 PMCID: PMC6705135 DOI: 10.1038/s41562-018-0476-3
Source DB: PubMed Journal: Nat Hum Behav ISSN: 2397-3374