Evidence map›Paper›PMID 36187415›Full record

ArticleThe Yale journal of biology and medicine2022

Targeting Representation: Interpreting Calls for Diversity in Precision Medicine Research.

Sandra Soo-Jin Lee, Stephanie M Fullerton, Caitlin E McMahon, Michael Bentz, Aliya Saperstein, Melanie Jeske, Emily Vasquez, Nicole Foti, Larissa Saco, Janet K Shim

Open access · greenAbstract read
In one paragraph

Article in The Yale journal of biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

10 authors at 5 institutions in 1 country.

Sandra Soo-Jin LeeDivision of Ethics, Department of Medical Humanities and Ethics, Columbia University, New York, NY, USA.
Stephanie M FullertonDepartment of Bioethics & Humanities, School of Medicine, University of Washington, Seattle, WA, USA.
Caitlin E McMahonDivision of Ethics, Department of Medical Humanities and Ethics, Columbia University, New York, NY, USA.
Michael BentzDivision of Ethics, Department of Medical Humanities and Ethics, Columbia University, New York, NY, USA.
Aliya SapersteinDepartment of Sociology, Stanford University, Stanford, CA, USA.
Melanie JeskeDepartment of Social and Behavioral Sciences, University of California, San Francisco, CA, USA.
Emily VasquezDepartment of Sociology, University of Illinois-Chicago, Chicago, IL, USA.
Nicole FotiDepartment of Social and Behavioral Sciences, University of California, San Francisco, CA, USA.
Larissa SacoDepartment of Sociology, University of California, Davis, Davis, CA, USA.
Janet K ShimDepartment of Social and Behavioral Sciences, University of California, San Francisco, CA, USA.
University of California, San Francisco · USCal Humanities · USColumbia University · USStanford University · USUniversity of California, Davis · US

Funding

Understanding the Expectations and Needs of Diverse Communities for Navigating Research ResultsR01HG010330 · NHGRI · STANFORD UNIVERSITY · PI LEE, SANDRA SOO-JIN, SHIM, JANET K · 2018 to 2021
$2.9M
NHGRI NIH HHS R01 HG010330
6 · The paper itself

Abstract

Scientists have identified a "diversity gap" in genetic samples and health data, which have been drawn predominantly from individuals of European ancestry, as posing an existential threat to the promise of precision medicine. Inadequate inclusion as articulated by scientists, policymakers, and ethicists has prompted large-scale initiatives aimed at recruiting populations historically underrepresented in biomedical research. Despite explicit calls to increase diversity, the meaning of diversity - which dimensions matter for what outcomes and why - remain strikingly imprecise. Drawing on our document review and qualitative data from observations and interviews of funders and research teams involved in five precision medicine research (PMR) projects, we note that calls for increasing diversity often focus on "representation" as the goal of recruitment. The language of representation is used flexibly to refer to two objectives: achieving sufficient genetic variation across populations and including historically disenfranchised groups in research. We argue that these dual understandings of representation are more than rhetorical slippage, but rather allow for the contemporary collection of samples and data from marginalized populations to stand in as correcting historical exclusion of social groups towards addressing health inequity. We trace the unresolved historical debates over how and to what extent researchers should procure diversity in PMR and how they contributed to ongoing uncertainty about what axes of diversity matter and why. We argue that ambiguity in the meaning of representation at the outset of a study contributes to a lack of clear conceptualization of diversity downstream throughout subsequent phases of the study.

Indexed as

Biomedical ResearchPrecision MedicineHumansbioethicsdiversityprecision medicine research

Identifiers

PMID36187415
PMCPMC9511949
OpenAlexW4300690058

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.