Mendelian randomization in the multivariate general linear model framework.
Mendelian randomization
general linear model
genetics
instrumental variable
Journal
Genetic epidemiology
ISSN: 1098-2272
Titre abrégé: Genet Epidemiol
Pays: United States
ID NLM: 8411723
Informations de publication
Date de publication:
02 2022
02 2022
Historique:
revised:
10
10
2021
received:
02
07
2021
accepted:
11
10
2021
pubmed:
22
10
2021
medline:
19
3
2022
entrez:
21
10
2021
Statut:
ppublish
Résumé
Mendelian randomization (MR) is an application of instrumental variable (IV) methods to observational data in which the IV is a genetic variant. MR methods applicable to the general exponential family of distributions are currently not well characterized. We adapt a general linear model framework to the IV setting and propose a general MR method applicable to any full-rank distribution from the exponential family. Empirical bias and coverage are estimated via simulations. The proposed method is compared to several existing MR methods. Real data analyses are performed using data from the REGARDS study to estimate the potential causal effect of smoking frequency on stroke risk in African Americans. In simulations with binary variates and very weak instruments the proposed method had the lowest median [Q
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
17-31Subventions
Organisme : NIA NIH HHS
ID : U01 NS041588
Pays : United States
Informations de copyright
© 2021 Wiley Periodicals LLC.
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