Genetic risk prediction in Hispanics/Latinos: milestones, challenges, and social-ethical considerations
- PMID: 37962783
- PMCID: PMC10725387
- DOI: 10.1007/s12687-023-00686-4
Genetic risk prediction in Hispanics/Latinos: milestones, challenges, and social-ethical considerations
Abstract
Genome-wide association studies (GWAS) have allowed the identification of disease-associated variants, which can be leveraged to build polygenic scores (PGSs). Even though PGSs can be a valuable tool in personalized medicine, their predictive power is limited in populations of non-European ancestry, particularly in admixed populations. Recent efforts have focused on increasing racial and ethnic diversity in GWAS, thus, addressing some of the limitations of genetic risk prediction in these populations. Even with these efforts, few studies focus exclusively on Hispanics/Latinos. Additionally, Hispanic/Latino populations are often considered a single population despite varying admixture proportions between and within ethnic groups, diverse genetic heterogeneity, and demographic history. Combined with highly heterogeneous environmental and socioeconomic exposures, this diversity can reduce the transferability of genetic risk prediction models. Given the recent increase of genomic studies that include Hispanics/Latinos, we review the milestones and efforts that focus on genetic risk prediction, summarize the potential for improving PGS transferability, and highlight the challenges yet to be addressed. Additionally, we summarize social-ethical considerations and provide ideas to promote genetic risk prediction models that can be implemented equitably.
Keywords: Genomic studies; Health disparities; Hispanics; Latin Americans; Latinos; Personalized medicine; Polygenic risk scores; Polygenic scores.
© 2023. The Author(s).
Conflict of interest statement
The authors declare no competing interests.
Figures

Similar articles
-
AFA: Ancestry-specific allele frequency estimation in admixed populations: The Hispanic Community Health Study/Study of Latinos.HGG Adv. 2022 Feb 24;3(2):100096. doi: 10.1016/j.xhgg.2022.100096. eCollection 2022 Apr 14. HGG Adv. 2022. PMID: 35300209 Free PMC article.
-
Power of inclusion: Enhancing polygenic prediction with admixed individuals.Am J Hum Genet. 2023 Nov 2;110(11):1888-1902. doi: 10.1016/j.ajhg.2023.09.013. Epub 2023 Oct 27. Am J Hum Genet. 2023. PMID: 37890495 Free PMC article.
-
The Genetic Basis of Type 2 Diabetes in Hispanics and Latin Americans: Challenges and Opportunities.Front Public Health. 2017 Dec 11;5:329. doi: 10.3389/fpubh.2017.00329. eCollection 2017. Front Public Health. 2017. PMID: 29376044 Free PMC article. Review.
-
Bridging the diversity gap: Analytical and study design considerations for improving the accuracy of trans-ancestry genetic prediction.HGG Adv. 2023 Jun 15;4(3):100214. doi: 10.1016/j.xhgg.2023.100214. eCollection 2023 Jul 13. HGG Adv. 2023. PMID: 37448981 Free PMC article.
-
From Sea to Shining Sea and the Great Plains to Patagonia: A Review on Current Knowledge of Diabetes Mellitus in Hispanics/Latinos in the US and Latin America.Front Endocrinol (Lausanne). 2017 Nov 10;8:298. doi: 10.3389/fendo.2017.00298. eCollection 2017. Front Endocrinol (Lausanne). 2017. PMID: 29176960 Free PMC article. Review.
Cited by
-
Clinical impact of pharmacogenomics in pediatric care: insights extracted from clinical exome sequencing.Front Genet. 2025 May 29;16:1574325. doi: 10.3389/fgene.2025.1574325. eCollection 2025. Front Genet. 2025. PMID: 40510810 Free PMC article.
References
-
- Banda Y, Kvale MN, Hoffmann TJ, Hesselson SE, Ranatunga D, Tang H, Sabatti C, Croen LA, Dispensa BP, Henderson M, Iribarren C, Jorgenson E, Kushi LH, Ludwig D, Olberg D, Quesenberry CP, Jr, Rowell S, Sadler M, Sakoda LC, Risch N. Characterizing race/ethnicity and genetic ancestry for 100,000 subjects in the Genetic Epidemiology Research on Adult health and aging (GERA) cohort. Genetics. 2015;200(4):1285–1295. doi: 10.1534/genetics.115.178616. - DOI - PMC - PubMed
-
- Belbin GM, Cullina S, Wenric S, Soper ER, Glicksberg BS, Torre D, Moscati A, Wojcik GL, Shemirani R, Beckmann ND, Cohain A, Sorokin EP, Park DS, Ambite JL, Ellis S, Auton A, Team CG, Regeneron Genetics C, Bottinger EP, et al. Toward a fine-scale population health monitoring system. Cell. 2021;184(8):2068–2083 e2011. doi: 10.1016/j.cell.2021.03.034. - DOI - PubMed
Publication types
Grants and funding
LinkOut - more resources
Full Text Sources