articleNature GeneticsMay 1, 2022HYBRID OA

Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects

LJLaurence J. HoweMGMichel G. NivardTMTim MorrisAFAilin Falkmo HansenHRHumaira Rasheed

Bristol City Council · At Bristol · +54 more institutions

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Abstract

Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms…

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Topics & keywords

Keywords
  • Genome-wide association study
  • Biology
  • Assortative mating
  • Heritability
  • Population stratification
  • Genetic association
  • Mendelian randomization
  • Genetics
UN Sustainable Development Goals
  • Good health and well-being
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