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Article

Methods for Prioritizing Causal Genes in Molecular Studies of Human Disease: The State of the Art.

Genetic epidemiology - 1 Apr 2026

Patasova Karina, Sedaghati-Khayat Bahar, Knevel Rachel, Cordell Heather J, Pratt Arthur G

Abstract excerpt

In the last decade, genome-wide association studies (GWAS) have identified tens of thousands of common variants associated with a wide array of complex traits and diseases. Integration of GWAS with molecular data has informed the development of statistical tools for causal gene discovery. In this paper, we give an overview of commonly used causal inference methods and discuss the strengths and limitations of...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41770856
DOI: 10.1002/gepi.70037
PMCID: PMC12952701

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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