Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses
Karl Heilbron,
Laura D. Howe,
Amanda Hughes,
Dorret I. Boomsma,
John Hopper,
Nancy L. Pedersen,
Chandra A. Reynolds,
Elliot M. Tucker-Drob,
Laurence Howe,
Shuai Li,
Adam Auton,
Frank Windmeijer,
Wei-Min Chen,
Johan Håkon Bjørngaard,
Kristian Hveem,
George Davey Smith,
Bjørn Olav Åsvold,
Ben Brumpton,
Eleanor Sanderson,
Fernando Pires Hartwig,
Sean Harrison,
Gunnhild Åberge Vie,
Yoonsu Cho,
Alexandra Havdahl,
Michael Neale,
Michel G. Nivard,
Andrew Grotzinger,
Tim Morris,
Cristen Willer,
David M. Evans,
Jaakko Kaprio,
George Davey Smith,
Gibran Hemani,
Neil M. Davies
Jul 14, 2020
Abstract: 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...