Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Apr 12;18(4):e0284356.
doi: 10.1371/journal.pone.0284356. eCollection 2023.

Influences of race and clinical variables on psychiatric genetic research participation: Results from a schizophrenia sample

Affiliations

Influences of race and clinical variables on psychiatric genetic research participation: Results from a schizophrenia sample

Rose Mary Xavier et al. PLoS One. .

Abstract

Advances in genetics has led to a better understanding of both genetic and environmental contributions to psychiatric mental health disorders. But psychiatric genetics research is predominantly Eurocentric, and individuals of non-European ancestry continue to be significantly underrepresented in research studies with potential to worsen existing mental health disparities. The objective of this study was to examine factors associated with genetic study participation in a schizophrenia sample. The study sample was extracted from the Clinical Antipsychotics Trial of Intervention Effectiveness (CATIE) schizophrenia study which enrolled 1493 patients with chronic schizophrenia between the ages of 18-65 years and incorporated an optional genetic sub-study. Using a logistic regression model (N = 1249), we examined sociodemographic and clinical variables that were independently associated with the outcome i.e., participation in the genetic sub-study. The genetic sub-study had a lower proportion of Black (30% in genetic vs 40% in CATIE overall) and other race (4% vs 6%) participants. Increased severity of psychopathology symptoms (odds ratio [OR] = 0.78, p = 0.004) decreased the odds whereas better reasoning scores (OR = 1.16, p = 0.036) increased the odds of genetic study participation. Compared to Black participants, White participants were significantly more likely to participate in the genetic sub-study (OR = 1.43, p = 0.009). Clinical factors in addition to race significantly impact genetic study participation of individuals with chronic schizophrenia. Our findings highlight the need for future research that examines the interactive effects of race and clinical factors such as symptom severity on psychiatrically ill individuals' choice to participate in genetics studies and to identify targeted strategies to increase equitable representation in psychiatric genetics research.

PubMed Disclaimer

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Predicted probabilities of genetic study participation from the logit model.
Y-axis indicates probabilities and x-axis indicates psychopathology symptom scores measured by PANSS. At any level of psychopathology symptoms, Black and Other participants were less likely to participate in the genetic study compared to White participants.

References

    1. Popejoy AB, Fullerton SM. Genomics is failing on diversity [Internet]. 2016. [cited 2021 May 7]. Available from: http://www.nature.com/news/genomics-is-failing-on-diversity-1.20759 - PMC - PubMed
    1. Peterson RE, Kuchenbaecker K, Walters RK, Chen C-Y, Popejoy AB, Periyasamy S, et al.. Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations. Cell. 2019. Oct 17;179(3):589–603. doi: 10.1016/j.cell.2019.08.051 - DOI - PMC - PubMed
    1. Atkinson EG, Bianchi SB, Ye GY, Martínez-Magaña JJ, Tietz GE, Montalvo-Ortiz JL, et al.. Cross-ancestry genomic research: time to close the gap. Neuropsychopharmacology [Internet]. 2022. Jun 23; Available from: doi: 10.1038/s41386-022-01365-7 - DOI - PMC - PubMed
    1. Martin AR, Kanai M, Kamatani Y, Okada Y, Neale BM, Daly MJ. Clinical use of current polygenic risk scores may exacerbate health disparities. Nat Genet. 2019. Apr;51(4):584–91. doi: 10.1038/s41588-019-0379-x - DOI - PMC - PubMed
    1. Martin AR, Daly MJ, Robinson EB, Hyman SE, Neale BM. Predicting Polygenic Risk of Psychiatric Disorders. Biol Psychiatry. 2019. Jul 15;86(2):97–109. doi: 10.1016/j.biopsych.2018.12.015 - DOI - PMC - PubMed

Substances