Back

Recommendations for the ethical and accurate use of population descriptors: a trainee-led survey of early-career researchers

Sharma, J.; Maldonado, B.; Ungar, R. A.; Adimoelja, A.; Flores, J.; Gjorgjieva, T.; Jones, K.; Khan, A.; Xue, D.; Patel, R.; Caggiano, C.

2026-07-07 genetics
10.64898/2026.07.01.735829 bioRxiv
Show abstract

Despite the importance of population descriptors in human genomics research, many scientists struggle to translate evolving ethical guidelines into their computational workflows. To characterize this gap between recommendations and implementation, we conducted a mixed-methods survey of early-career researchers to assess how they understand and implement the landmark 2023 NASEM report on the use of population descriptors in human genetics research. We show that while exposure to the report fosters ethical awareness, fundamental misconceptions about race and ancestry persist across academic disciplines, and trainees face structural bottlenecks, including legacy data constraints and a lack of technical confidence. To address this gap, we offer actionable, stakeholder-specific recommendations across the research lifecycle ranging from decision-support tools to "bring-your-own-data" workshops to leadership from academic journals, scientific societies, and trainee mentors. Ultimately, we argue that to promote scientific rigor and reduce bias in genetic discoveries, the scientific ecosystem must invest in the infrastructure necessary to empower the next generation of researchers.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
The American Journal of Human Genetics
234 papers in training set
Top 0.1%
39.4%
2
European Journal of Human Genetics
58 papers in training set
Top 0.1%
9.7%
3
GENETICS
483 papers in training set
Top 1%
5.5%
50% of probability mass above
4
Human Genetics and Genomics Advances
84 papers in training set
Top 0.5%
4.0%
5
PLOS ONE
5266 papers in training set
Top 34%
4.0%
6
eLife
5828 papers in training set
Top 41%
2.4%
7
Cell Genomics
172 papers in training set
Top 2%
2.4%
8
Nucleic Acids Research
1281 papers in training set
Top 7%
2.4%
9
Frontiers in Genetics
230 papers in training set
Top 2%
2.4%
10
PLOS Biology
486 papers in training set
Top 4%
2.0%
11
Epidemics
116 papers in training set
Top 1%
1.7%
12
Molecular Biology and Evolution
542 papers in training set
Top 3%
1.7%
13
Genetics in Medicine
78 papers in training set
Top 0.6%
1.7%
14
Genome Biology
637 papers in training set
Top 6%
1.7%
15
G3: Genes, Genomes, Genetics
252 papers in training set
Top 3%
1.3%
16
Nature Communications
5641 papers in training set
Top 49%
1.3%
17
BMC Genomics
406 papers in training set
Top 6%
1.1%
18
Genes
144 papers in training set
Top 3%
1.1%
19
PLOS Genetics
862 papers in training set
Top 9%
1.1%
20
Bioinformatics
1204 papers in training set
Top 8%
1.1%
21
American Journal of Epidemiology
67 papers in training set
Top 1%
1.0%
22
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 41%
0.8%
23
Genome Biology and Evolution
338 papers in training set
Top 3%
0.6%