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Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses

Title: Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses
Authors: Brumpton, B; Sanderson, E; Heilbron, K; Hartwig, FP; Harrison, S; Vie, GÅ; Cho, Y; Howe, LD; Hughes, A; Boomsma, DI; Havdahl, A; Hopper, J; Neale, M; Nivard, MG; Pedersen, NL; Reynolds, CA; Tucker-Drob, EM; Grotzinger, A; Howe, L; Morris, T; Li, S; Auton, A; Windmeijer, F; Chen, WM; Bjørngaard, JH; Hveem, K; Willer, C; Evans, DM; Kaprio, J; Davey-Smith, G; Åsvold, BO; Hemani, G; Davies, NM
Publisher Information: NATURE PORTFOLIO
Publication Year: 2020
Collection: The University of Melbourne: Digital Repository
Description: Estimates from Mendelian randomization studies of unrelated individuals can be biased due to uncontrolled confounding from familial effects. Here we describe methods for within-family Mendelian randomization analyses and use simulation studies to show that family-based analyses can reduce such biases. We illustrate empirically how familial effects can affect estimates using data from 61,008 siblings from the Nord-Trøndelag Health Study and UK Biobank and replicated our findings using 222,368 siblings from 23andMe. Both Mendelian randomization estimates using unrelated individuals and within family methods reproduced established effects of lower BMI reducing risk of diabetes and high blood pressure. However, while Mendelian randomization estimates from samples of unrelated individuals suggested that taller height and lower BMI increase educational attainment, these effects were strongly attenuated in within-family Mendelian randomization analyses. Our findings indicate the necessity of controlling for population structure and familial effects in Mendelian randomization studies.
Document Type: article in journal/newspaper
Language: English
ISSN: 2041-1723
Relation: https://hdl.handle.net/11343/244572
Availability: https://hdl.handle.net/11343/244572
Rights: https://creativecommons.org/licenses/by/4.0 ; CC BY
Accession Number: edsbas.B30603DE
Database: BASE