Partitioning genetic pleiotropy within tissue-specific regulatory patterns

GWAS-associated variants of related complex traits indicate the presence of pleiotropic clusters often related to tissue-specific epigenomic profiles. The authors introduce J-PEP, a novel framework that enables tissue-aware interpretation of complex trait genetic architecture and PEPA, a cross-modal validation metric. J-PEP factorizes trait and tissue data matrices jointly to identify soft clusters of SNPs that capture both pleiotropic and shared epigenomic patterns in tissues, improving both clustering efficiency and mechanistic interpretation.

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Publication Details

Journal
Cell Genomics
Published
2026-04-01
DOI
https://doi.org/10.1016/j.xgen.2026.101212
Primary Topic
Developmental Biology and Gene Regulation
Type
article
Field-Weighted Citation Impact
0.00

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article

Partitioning genetic pleiotropy within tissue-specific regulatory patterns

Samsiddhi Bhattacharjee, Prasun Panja, Diptanil Biswas
Cell Genomics
Developmental Biology and Gene Regulation
article

Partitioning genetic pleiotropy within tissue-specific regulatory patterns

Samsiddhi Bhattacharjee, Prasun Panja, Diptanil Biswas
article en

Abstract

GWAS-associated variants of related complex traits indicate the presence of pleiotropic clusters often related to tissue-specific epigenomic profiles. The authors introduce J-PEP, a novel framework that enables tissue-aware interpretation of complex trait genetic architecture and PEPA, a cross-modal validation metric. J-PEP factorizes trait and tissue data matrices jointly to identify soft clusters of SNPs that capture both pleiotropic and shared epigenomic patterns in tissues, improving both clustering efficiency and mechanistic interpretation.

Cell GenomicsVol. 6(4)
Regional Centre for Biotechnology (IN), National Institute of Biomedical Genomics (IN)
National Institute of Biomedical Genomics
Openalex Percentile: Top 19%
Developmental Biology and Gene Regulation
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