School of Medicine Publications and Presentations
Document Type
Article
Publication Date
11-13-2024
Abstract
Latin Americans are underrepresented in genetic studies, increasing disparities in personalized genomic medicine. Despite available genetic data from thousands of Latin Americans, accessing and navigating the bureaucratic hurdles for consent or access remains challenging. To address this, we introduce the Genetics of Latin American Diversity (GLAD) Project, compiling genome-wide information from 53,738 Latin Americans across 39 studies representing 46 geographical regions. Through GLAD, we identified heterogeneous ancestry composition and recent gene flow across the Americas. Additionally, we developed GLAD-match, a simulated annealing-based algorithm, to match the genetic background of external samples to our database, sharing summary statistics (i.e., allele and haplotype frequencies) without transferring individual-level genotypes. Finally, we demonstrate the potential of GLAD as a critical resource for evaluating statistical genetic software in the presence of admixture. By providing this resource, we promote genomic research in Latin Americans and contribute to the promises of personalized medicine to more people.
Recommended Citation
Borda, V., Loesch, D. P., Guo, B., Laboulaye, R., Veliz-Otani, D., French, J. N., Leal, T. P., Gogarten, S. M., Ikpe, S., Gouveia, M. H., Mendes, M., Abecasis, G. R., Alvim, I., Arboleda-Bustos, C. E., Arboleda, G., Arboleda, H., Barreto, M. L., Barwick, L., Bezzera, M. A., Blangero, J., … O'Connor, T. D. (2024). Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas. Cell genomics, 4(11), 100692. https://doi.org/10.1016/j.xgen.2024.100692
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Publication Title
Cell genomics
DOI
https://doi.org/10.1016/j.xgen.2024.100692
Academic Level
faculty
Mentor/PI Department
Office of Human Genetics
Comments
© 2024 The Author(s)
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).