Evidence map›Paper›PMID 41956071›Full record

ArticleCell genomics2026

Partitioning genetic pleiotropy within tissue-specific regulatory patterns.

Prasun Panja, Diptanil Biswas, Samsiddhi Bhattacharjee

Abstract read
In one paragraph

Article in Cell genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Prasun PanjaRegional Centre for Biotechnology, Faridabad, India; BRIC-National Institute of Biomedical Genomics, Kalyani, India.
Diptanil BiswasRegional Centre for Biotechnology, Faridabad, India; BRIC-National Institute of Biomedical Genomics, Kalyani, India.
Samsiddhi BhattacharjeeRegional Centre for Biotechnology, Faridabad, India; BRIC-National Institute of Biomedical Genomics, Kalyani, India. Electronic address: sb1@nibmg.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Genetic PleiotropyAlgorithmsAnimalsClustering AlgorithmsEpigenomicsGenome-Wide Association StudyHumansOrgan SpecificityPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID41956071
PMCPMC13069840

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.