Causal inference for multiple risk factors and diseases from genomics data.

Abstract excerpt

Mendelian randomization, the standard instrument variable causal-inference approach for genomics, can be severely biased by inadequate selection of appropriate instrument variables and horizontal pleiotropy. We introduce Causal Inference GWAS, a graphical approach that selects genetic instruments from summary statistics controlling for linkage and pleiotropy, accommodates rare variants and binary outcomes,...

Topics

• Humans
• Genome-Wide Association Study
• Risk Factors
• Genomics
• Mendelian Randomization Analysis
• Genetic Predisposition to Disease