Evidence map›Paper›PMID 32935870›Full record

ArticleAmerican journal of physical anthropology2021

Leveraging genetic ancestry to study health disparities.

Ken Batai, Stanley Hooker, Rick A Kittles

Open access · hybridAbstract read
In one paragraph

Article in American journal of physical anthropology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.8field-weighted citation impact, top 4% of its field
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

32 citing papers in PubMed, 52 citations in OpenAlex.

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  9. Maternal obesity and ancestry distance in influencing birth outcomes.International journal of obesity (2005) · 2025
    Observational
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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 at 2 institutions in 1 country.

Ken BataiDepartment of Urology, University of Arizona, Tucson, Arizona, USA.
Stanley HookerDivision of Health Equities, Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
Rick A KittlesDivision of Health Equities, Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California, USA.ORCID 0000-0002-5004-4437
City of Hope · USUniversity of Arizona · US

Funding

Uranium as an Environmental Risk Factor for Cancer Among the NavajoU54CA143924 · NCI · UNIVERSITY OF ARIZONA · PI Melissa Marie Herbst-Kralovetz, JUANITA L. MERCHANT · 2009 to 2026
$26.7M
Biological and Environmental modifiers of Vitamin D3 and Prostate Cancer RiskR01MD007105 · NIMHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KITTLES, RICK A. · 2012 to 2016
$2.0M
A Mixed Method to Identify Causes of Kidney Cancer Surgical Disparities in ArizonaR21CA248361 · NCI · UNIVERSITY OF ARIZONA · PI CHIPOLLINI, JUAN · 2020 to 2020
$388k
NCI NIH HHS R21 CA248361NCI NIH HHS U54 CA143924NCI NIH HHS U54CA143924NIMHD NIH HHS R01 MD007105NIMHD NIH HHS R01MD007105
6 · The paper itself

Abstract

Research to understand human genomic variation and its implications in health has great potential to contribute in the reduction of health disparities. Biological anthropology can play important roles in genomics and health disparities research using a biocultural approach. This paper argues that racial/ethnic categories should not be used as a surrogate for sociocultural factors or global genomic clusters in biomedical research or clinical settings, because of the high genetic heterogeneity that exists within traditional racial/ethnic groups. Genetic ancestry is used to show variation in ancestral genomic contributions to recently admixed populations in the United States, such as African Americans and Hispanic/Latino Americans. Genetic ancestry estimates are also used to examine the relationship between ancestry-related biological and sociocultural factors affecting health disparities. To localize areas of genomes that contribute to health disparities, admixture mapping and genome-wide association studies (GWAS) are often used. Recent GWAS have identified many genetic variants that are highly differentiated among human populations that are associated with disease risk. Some of these are population-specific variants. Many of these variants may impact disease risk and help explain a portion of the difference in disease burden among racial/ethnic groups. Genetic ancestry is also of particular interest in precision medicine and disparities in drug efficacy and outcomes. By using genetic ancestry, we can learn about potential biological differences that may contribute to the heterogeneity observed across self-reported racial groups.

Indexed as

Anthropology, PhysicalHealth Status DisparitiesBlack or African AmericanBlack PeopleGenome, HumanGenome-Wide Association StudyHispanic or LatinoHumansPrecision MedicineUnited StatesWhite Peoplegenetic ancestryhealth disparitiesprecision medicine

Identifiers

PMID32935870
PMCPMC8246846
OpenAlexW3087184742

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.