Mendelian randomization analysis with multiple genetic variants using summarized data.

Volume: 37, Issue: 7, Pages: 658 - 665
Published: Nov 1, 2013
Abstract
Genome-wide association studies, which typically report regression coefficients summarizing the associations of many genetic variants with various traits, are potentially a powerful source of data for Mendelian randomization investigations. We demonstrate how such coefficients from multiple variants can be combined in a Mendelian randomization analysis to estimate the causal effect of a risk factor on an outcome. The bias and efficiency of...
Paper Details
Title
Mendelian randomization analysis with multiple genetic variants using summarized data.
Published Date
Nov 1, 2013
Volume
37
Issue
7
Pages
658 - 665
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