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Article

A flexible and unified framework for single- and multi-outcome Mendelian randomization using summary statistics.

American journal of human genetics - 7 May 2026

Kang Bowei, Li David, Xu Ke, Chen Jianhai, Feng Sihao, Wang Jinyu, Gao Guimin, Tasaki Shinya, Pierce Brandon L, Bennett David A, Chen Lin S

Abstract excerpt

Mendelian randomization (MR) is widely used to evaluate causal effects of complex trait exposures on disease outcomes. Recently, MR has been increasingly applied to molecular traits, such as gene expression, to map risk genes. However, transcriptome-wide MR (TWMR) faces unique challenges. The number of available cis-QTLs as instrumental variables (IVs) is often limited, and horizontal pleiotropy is pervasive,...

Topics

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Genetic Predisposition to Disease
Genome-Wide Association Study
Linkage Disequilibrium
Mendelian Randomization Analysis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Models, Genetic

Polymorphism, Single Nucleotide

Quantitative Trait Loci

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Identifiers

PMID: 41997142
DOI: 10.1016/j.ajhg.2026.03.017
PMCID: PMC13094729

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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