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Evaluating indirect genetic effects of siblings using singletons

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  • Laurence J Howe
  • David M Evans
  • Gibran Hemani
  • George Davey Smith
  • Neil M Davies

Abstract

Estimating effects of parental and sibling genotypes (indirect genetic effects) can provide insight into how the family environment influences phenotypic variation. There is growing molecular genetic evidence for effects of parental phenotypes on their offspring (e.g. parental educational attainment), but the extent to which siblings affect each other is currently unclear. Here we used data from samples of unrelated individuals, without (singletons) and with biological full-siblings (non-singletons), to investigate and estimate sibling effects. Indirect genetic effects of siblings increase (or decrease) the covariance between genetic variation and a phenotype. It follows that differences in genetic association estimates between singletons and non-singletons could indicate indirect genetic effects of siblings if there is no heterogeneity in other sources of genetic association between singletons and non-singletons. We used UK Biobank data to estimate polygenic score (PGS) associations for height, BMI and educational attainment in self-reported singletons (N = 50,143) and non-singletons (N = 328,549). The educational attainment PGS association estimate was 12% larger (95% C.I. 3%, 21%) in the non-singleton sample than in the singleton sample, but the height and BMI PGS associations were consistent. Birth order data suggested that the difference in educational attainment PGS associations was driven by individuals with older siblings rather than firstborns. The relationship between number of siblings and educational attainment PGS associations was non-linear; PGS associations were 24% smaller in individuals with 6 or more siblings compared to the rest of the sample (95% C.I. 11%, 38%). We estimate that a 1 SD increase in sibling educational attainment PGS corresponds to a 0.025 year increase in the index individual’s years in schooling (95% C.I. 0.013, 0.036). Our results suggest that older siblings may influence the educational attainment of younger siblings, adding to the growing evidence that effects of the environment on phenotypic variation partially reflect social effects of germline genetic variation in relatives.Author summary: Genetic data from families can be used to evaluate social effects of parents on their offspring. For example, non-transmitted parental genetic variants have been shown to associate with offspring educational attainment indicative of parental effects. Siblings may also influence one another but available data has limited our understanding of sibling effects.

Suggested Citation

  • Laurence J Howe & David M Evans & Gibran Hemani & George Davey Smith & Neil M Davies, 2022. "Evaluating indirect genetic effects of siblings using singletons," PLOS Genetics, Public Library of Science, vol. 18(7), pages 1-16, July.
  • Handle: RePEc:plo:pgen00:1010247
    DOI: 10.1371/journal.pgen.1010247
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    References listed on IDEAS

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    1. Cheti Nicoletti & Birgitta Rabe, 2019. "Sibling spillover effects in school achievement," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 482-501, June.
    2. Jessica Tyrrell & Jie Zheng & Robin Beaumont & Kathryn Hinton & Tom G. Richardson & Andrew R. Wood & George Davey Smith & Timothy M. Frayling & Kate Tilling, 2021. "Genetic predictors of participation in optional components of UK Biobank," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    3. Dilnoza Muslimova & Hans van Kippersluis & Cornelius A. Rietveld & Stephanie von Hinke & S. Fleur W. Meddens, 2020. "Dynamic complementarity in skill production: Evidence from genetic endowments and birth order," Tinbergen Institute Discussion Papers 20-082/V, Tinbergen Institute.
    4. repec:plo:pgen00:1009154 is not listed on IDEAS
    5. repec:plo:pmed00:1001779 is not listed on IDEAS
    6. L. Duncan & H. Shen & B. Gelaye & J. Meijsen & K. Ressler & M. Feldman & R. Peterson & B. Domingue, 2019. "Analysis of polygenic risk score usage and performance in diverse human populations," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
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