Evidence map›Paper›PMID 40568678›Full record

ArticlemedRxiv : the preprint server for health sciences2025

African ancestry-enriched variants in the

Shivam Sharma, Courtney A Astore, Leonardo Mariño-Ramírez, I King Jordan

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

5 · Who and what money

Authors and funding

4 authors.

Shivam SharmaSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.
Courtney A AstoreSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.
Leonardo Mariño-RamírezNational Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-5716-8512
I King JordanSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.ORCID 0000-0003-4996-2203

Funding

Genomics and Biobank Research for Health EquityZIAMD000018 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI MARIÑO-RAMÍREZ, LEONARDO · 2020 to 2025
$2.7M
Epidemiology and Genomics of Health DisparitiesZIAMD000016 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI MARINO-RAMIREZ, LEONARDO · 2019 to 2021
$1.6M
Intramural NIH HHS ZIA MD000016Intramural NIH HHS ZIA MD000018
6 · The paper itself

Abstract

Background: Serum creatinine (Scr) levels are routinely used to estimate kidney function and health. Individuals of African ancestry have higher Scr levels - controlling for differences in age, sex, size, kidney function, and disease status - compared to individuals from other ancestral backgrounds. The reason for this difference is unknown. We hypothesized that there may be genetic variants found at relatively high frequency in African ancestry groups (African ancestry-enriched variants) that are associated with elevated Scr levels African ancestry individuals. Methods: Our study sample is made up of participants from the All of Us Research Program. We used whole genome sequence data to estimate genetic ancestry for All of Us participants and selected a cohort of 18,979 participants with two way African-European admixture, available Scr level measures, and demographic covariables. We performed a series of ancestry-informed association studies of Scr levels on this cohort to test our hypothesis of African ancestry-enriched variants associated with Scr. Results: Study participants show an average of 80.8% African and 17.5% European ancestry. Participant Scr levels are positively correlated with African ancestry for females ( Conclusions: Our findings indicate that African ancestry-enriched variants up-regulate the

Indexed as

admixtureAncestrycreatininegenome-wide association study (GWAS)kidney

Identifiers

PMID40568678
PMCPMC12191081

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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.