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Article

Meta-analysis models with group structure for pleiotropy detection at gene and variant level using summary statistics from multiple datasets.

Biostatistics (Oxford, England) - 31 Dec 2025

Sugier Pierre-Emmanuel, Asgari Yazdan, Sedki Mohammed, Truong Thérèse, Liquet Benoit

Abstract excerpt

Genome-wide association studies (GWASs) have highlighted the importance of pleiotropy in human diseases, where one gene can impact 2 or more unrelated traits. Examining shared genetic risk factors across multiple diseases can enhance our understanding of these conditions by pinpointing new genes and biological pathways involved. Furthermore, with an increasing wealth of GWAS summary statistics available to the...

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PMID: 41241933
DOI: 10.1093/biostatistics/kxaf037

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