Evidence map›Paper›PMID 25378251›Full record

ArticleJournal of health and social behavior2014

Race and ancestry in the age of inclusion: technique and meaning in post-genomic science.

Janet K Shim, Sara L Ackerman, Katherine Weatherford Darling, Robert A Hiatt, Sandra Soo-Jin Lee

Abstract read
In one paragraph

Article in Journal of health and social behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. The rise of diversity terminology in biomedical research.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. The potential European genetic predisposition for non-contact anterior cruciate ligament injury.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2018
    Article
  8. Article
  9. Article
  10. Distributive justice, diversity, and inclusion in precision medicine: what will success look like?Genetics in medicine : official journal of the American College of Medical Genetics · 2017
    Article
  11. Article
  12. Article
  13. Article
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 at 2 institutions in 1 country.

Janet K ShimUniversity of California, San Francisco, CA, USA janet.shim@ucsf.edu.
Sara L AckermanUniversity of California, San Francisco, CA, USA.
Katherine Weatherford DarlingUniversity of California, San Francisco, CA, USA.
Robert A HiattUniversity of California, San Francisco, CA, USA.
Sandra Soo-Jin LeeStanford University, Stanford, CA, USA.
University of California, San Francisco · USStanford University · US

Funding

Conceptions of Race and Ethnicity Used in Gene-Environment Interaction StudiesR01HG005848 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHIM, JANET K · 2010 to 2013
$1.4M
Center for Transdisciplinary ELSI Research in Translational GenomicsP20HG007243 · NHGRI · KAISER FOUNDATION RESEARCH INSTITUTE · PI HARRIS-WAI, JULIE NOEL, KOENIG, BARBARA A. · 2013 to 2016
$958k
NHGRI NIH HHS P20 HG007243NHGRI NIH HHS R01 HG005848NHGRI NIH HHS R01HG005848
6 · The paper itself

Abstract

This article examines how race and ancestry are taken up in gene-environment interaction (GEI) research on complex diseases such as heart disease, diabetes, and cancer. Using 54 in-depth interviews of 33 scientists and over 200 hours of observation at scientific conferences, we explore how GEI researchers use and interpret race, ethnicity, and ancestry in their work. We find that the use of self-identified race and ethnicity (SIRE) exists alongside ancestry informative markers (AIMs) to ascertain genetic ancestry. Our participants assess the utility of these two techniques in relative terms, downplaying the accuracy and value of SIRE compared to the precision and necessity of AIMs. In doing so, we argue that post-genomic scientists seeking to understand the interactions of genetic and environmental disease determinants actually undermine their ability to do so by valorizing precise characterizations of individuals' genetic ancestry over measurement of the social processes and relations that differentiate social groups.

Indexed as

Gene-Environment InteractionGenetic ResearchAttitude of Health PersonnelDiabetes Mellitus, Type 2EthnicityGenetic Predisposition to DiseaseGenomicsHeart DiseasesHumansInterviews as TopicMolecular EpidemiologyNeoplasmsObservationRacial GroupsSelf Reportancestrygeneticshealth disparitiesqualitative methodsrace

Identifiers

PMID25378251
PMCPMC4443814
OpenAlexW2167390387

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.