Evidence map›Paper›PMID 42239751›Full record

ArticleResearch square2026

Integrative Mapping of Regulatory Variation in African American Hepatocytes Using Colocalization and MPRA: Toward Precision Drug Response.

Carolina Clark, Guang Yang, Cristina Alarcon, Mrinal Mishra, Minoli A Perera

Abstract readPreprint
In one paragraph

Article in Research square, 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

5 authors.

Carolina ClarkNorthwestern University.
Guang YangSt. Jude Children's Research Hospital.
Cristina AlarconNorthwestern University.
Mrinal MishraNorthwestern University.
Minoli A PereraNorthwestern University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Genomic datasets informing pharmacogenomic discovery often underrepresent individuals of African ancestry, limiting understanding of ancestry-specific regulatory variation and its implications for precision medicine. This gap hampers accurate gene regulatory modeling and equitable delivery of precision medicine. Results: We generated an expression quantitative trait loci (eQTL) dataset from 75 primary human hepatocytes derived from cadaveric livers of African American (AA) donors and integrated these data with public liver eQTL resources.Cis-eQTL mapping identified 31,606 eQTLs (SNP-gene pairs), including regulatory variation in pharmacogenomic-relevant genes such as Conclusions: By integrating ancestry-specific eQTL mapping, colocalization, and functional assays, this study improves the resolution of causal regulatory variants in hepatocytes. Expanding diverse population cohorts and incorporating functional assays in relevant tissue will be crucial to further disentangle the complex genetic architecture of hepatic gene regulation. Our findings expand the understanding of regulatory mechanisms underlying pharmacogenomic traits and advance precision medicine in admixed populations.

Indexed as

African ancestryhepatocytesPharmacogenomicsprecision medicinequantitative trait mappingregulatory variation

Identifiers

PMID42239751
PMCPMC13228828

What Socratic 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 Socratic graph.