Evidence map›Paper›PMID 40240884›Full record

ArticleBMC medical genomics2025

Underrepresented populations in genomic research: a qualitative study of researchers' perspectives.

Arian Omeranovic, Flora Nguyen Van Long, Asma Boubaker, Annie Turgeon, Hermann Nabi

Abstract read
In one paragraph

Article in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

5 authors.

Arian OmeranovicOncology Division, CHU de Québec-Université Laval Research Center, Hôpital du Saint-Sacrement, 1050, Chemin Ste-Foy, Local J0 - 01, Quebec City, QC, G1S 4L8, Canada.
Flora Nguyen Van LongOncology Division, CHU de Québec-Université Laval Research Center, Hôpital du Saint-Sacrement, 1050, Chemin Ste-Foy, Local J0 - 01, Quebec City, QC, G1S 4L8, Canada.
Asma BoubakerOncology Division, CHU de Québec-Université Laval Research Center, Hôpital du Saint-Sacrement, 1050, Chemin Ste-Foy, Local J0 - 01, Quebec City, QC, G1S 4L8, Canada.
Annie TurgeonOncology Division, CHU de Québec-Université Laval Research Center, Hôpital du Saint-Sacrement, 1050, Chemin Ste-Foy, Local J0 - 01, Quebec City, QC, G1S 4L8, Canada.
Hermann NabiOncology Division, CHU de Québec-Université Laval Research Center, Hôpital du Saint-Sacrement, 1050, Chemin Ste-Foy, Local J0 - 01, Quebec City, QC, G1S 4L8, Canada. Hermann.nabi@crchudequebec.ulaval.ca.

Funding

Fonds de Recherche du Québec - Santé 2022-2023- BF1-318108
6 · The paper itself

Abstract

backgroundThe lack of diversity in genomic data limits researchers' ability to investigate the relationships between genetic profiles, disease manifestations, and responses to new therapies. As a result, innovations in treatment could have potentially harmful effects on a significant portion of the population due to incomplete or inaccurate genomic data. In addition, the lack of harmonization in the use of population descriptors in genomic studies raises both ethical and scientific concerns regarding which descriptors should be used to study and recruit underrepresented populations. Therefore, understanding the factors contributing to the lack of diversity in genomic research is an urgent scientific, clinical, and public health priority. This study aims to explore the social and contextual factors influencing the participation of underrepresented populations in genomic research, from the perspective of researchers in the field.

methodsA total of 13 semi-structured interviews were conducted with researchers experienced in genomic research in Canada and fluent in either French or English. The interview transcripts were analyzed using thematic analysis.

resultsResearchers identified several factors contributing to the low participation of underrepresented populations in genomic research, with one key factor being the geographic distribution of research institutions and the disconnect between research efforts and the communities being studied. To address this issue, participants stressed the importance of moving away from colonial practices, such as conducting research on a community without consulting its members in the design phase. Furthermore, it was suggested that existing diversity, equity, and inclusion policies alone were insufficient to effectively address the challenge. Lastly, the study also highlighted a potential link between how study populations are categorized and the willingness of underrepresented groups to participate in genomic research.

conclusionAlthough researchers are generally aware of the literature on the causes, consequences, and potential solutions for increasing participation, confusion remains regarding the use of population descriptors. Our findings highlight the need for improved education, greater consensus, and expanded dialogue within the genomic research community to promote the harmonization of population descriptors.

Indexed as

GenomicsMinority GroupsResearch PersonnelFemaleHumansMaleQualitative ResearchCanadaDiversityEquityGenomic researchInclusionPopulation descriptorsQualitative researchUnderrepresented populations

Identifiers

PMID40240884
PMCPMC12001558

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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.