Combining the strengths of inverse-variance weighting and Egger regression in Mendelian randomization using a mixture of regressions model

With the increasing availability of large-scale GWAS summary data on various traits, Mendelian randomization (MR) has become commonly used to infer causality between a pair of traits, an exposure and an outcome. It depends on using genetic variants, typically SNPs, as instrumental variables (IVs). T...

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Bibliographic Details
Published in:	PLoS genetics Vol. 17; no. 11; p. e1009922
Main Authors:	Lin, Zhaotong, Deng, Yangqing, Pan, Wei
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 18.11.2021 Public Library of Science (PLoS)
Subjects:	Algorithms Biology and Life Sciences Estimates Genetic diversity Genetic Pleiotropy - genetics Genetic Predisposition to Disease Genetic variation Genome-wide association studies Genome-Wide Association Study - statistics & numerical data Humans Linear models (Statistics) Linear regression models Medicine and Health Sciences Mendelian Randomization Analysis - statistics & numerical data Methods Physical Sciences Pleiotropy Polymorphism, Single Nucleotide - genetics Regression Analysis Research and Analysis Methods Risk factors Single-nucleotide polymorphism United States
ISSN:	1553-7404, 1553-7390, 1553-7404
Online Access:	Get full text
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