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

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 biase...

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Detalles Bibliográficos
Autores principales: Brumpton, Ben, Sanderson, Eleanor, Heilbron, Karl, Hartwig, Fernando Pires, Harrison, Sean, Vie, Gunnhild Åberge, Cho, Yoonsu, Howe, Laura D., Hughes, Amanda, Boomsma, Dorret I., Havdahl, Alexandra, Hopper, John, Neale, Michael, Nivard, Michel G., Pedersen, Nancy L., Reynolds, Chandra A., Tucker-Drob, Elliot M., Grotzinger, Andrew, Howe, Laurence, Morris, Tim, Li, Shuai, Auton, Adam, Windmeijer, Frank, Chen, Wei-Min, Bjørngaard, Johan Håkon, Hveem, Kristian, Willer, Cristen, Evans, David M., Kaprio, Jaakko, Davey Smith, George, Åsvold, Bjørn Olav, Hemani, Gibran, Davies, Neil M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360778/
https://www.ncbi.nlm.nih.gov/pubmed/32665587
http://dx.doi.org/10.1038/s41467-020-17117-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360778/
https://www.ncbi.nlm.nih.gov/pubmed/32665587
http://dx.doi.org/10.1038/s41467-020-17117-4

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