Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects
Bristol City Council · At Bristol · +54 more institutions
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…
Citation impact
- FWCI
- 68.78
- Percentile
- 100%
- References
- 61
Authors
196- LJLaurence J. HoweCorresponding
Bristol City Council, At Bristol, University of Bristol, Medical Research Council
- MGMichel G. Nivard
Vrije Universiteit Amsterdam
- TMTim Morris
University of Bristol, Medical Research Council
- AFAilin Falkmo Hansen
Norwegian University of Science and Technology
- HRHumaira Rasheed
Norwegian University of Science and Technology, University of Bristol, Medical Research Council
Topics & keywords
- Genome-wide association study
- Biology
- Assortative mating
- Heritability
- Population stratification
- Genetic association
- Mendelian randomization
- Genetics
- Good health and well-being
Funding
- SKStiftelsen Kristian Gerhard Jebsen
- WTWellcome TrustAwards: Z/17/Z, 208806/Z/17/Z
- UOUniversity of BristolAward: MC_UU_00011/1
- JFJacobs Foundation
- NFNorges ForskningsrådAward: 295989
- FFFakultet for medisin og helsevitenskap, Norges Teknisk-Naturvitenskapelige Universitet
- MRMedical Research CouncilAwards: MC_PC_14135, MC_UU_00017/1, MR/R026408/1, MR/T030852/1, MC_UU_00011/1, MC_UU_00011/6, MC_UU_00011/1, MC_UU_00007/10, MC_PC_13049, MC_UU_00011
- EAEconomic and Social Research CouncilAward: ES/W002116/1
- FOFaculty of Medicine and Health, University of Sydney
- MRMedical Research FoundationAward: MC_UU_00011