4.7 Article

Imprint of assortative mating on the human genome

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NATURE HUMAN BEHAVIOUR
卷 2, 期 12, 页码 948-954

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41562-018-0476-3

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资金

  1. Australian Research Council [DP130102666, DP160103860, DP160102400]
  2. Australian National Health and Medical Research Council [1078037, 1078901, 1103418, 1107258, 1127440, 1113400]
  3. National Institutes of Health [R01AG042568, P01GM099568, R01MH100141, RC2 AG036607]
  4. Sylvia and Charles Viertel Charitable Foundation
  5. Robert Wood Johnson Foundation
  6. Ellison Medical Foundation
  7. Wayne and Gladys Valley Foundation
  8. Kaiser Permanente
  9. UKB Resource [12505]
  10. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [P01GM099568] Funding Source: NIH RePORTER
  11. NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH100141] Funding Source: NIH RePORTER
  12. NATIONAL INSTITUTE ON AGING [R56AG042568, R01AG042568] Funding Source: NIH RePORTER

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Preference for mates with similar phenotypes; that is, assortative mating, is widely observed in humans(1-5) and has evolutionary consequences(6-8). Under Fisher's classical theory(6), 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 (theta) 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 similar to 400,000 unrelated individuals of European ancestry. We found significant evidence of assortative mating for height (theta=3.2%) and educational attainment (theta = 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.

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