Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas

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.

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Publication Details

Journal
Cell Genomics
Published
2024-10-31
DOI
https://doi.org/10.1016/j.xgen.2024.100692
Citations
25
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
13.76

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article

Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas

Gonzálo Arboleda, Marla Mendes de Aquino, Vítor Tumas, Shannon Kelly et al.
25 citations
Cell Genomics
Genetic Associations and Epidemiology
13.76
article

Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas

Gonzálo Arboleda, Marla Mendes de Aquino, Vítor Tumas, Shannon Kelly, Lucas Barwick, Vijay G. Sankaran, John Blangero, Ryan D. Hernandez, Jessica Ann Lasky-Su, Víctor Raggio, Andrés G. Lescano, Henrique Ballalai Ferraz, Barbara A. Konkle, Pedro Chaná‐Cuevas, Ruth J. F. Loos, Marília O. Scliar, Igor F. Domingos, Thiago Peixoto Leal, Bruno Lopes Santos‐Lobato, Tatjana Rundek, Vanderci Borges, Ani Manichaikul, Bernardo Lessa Horta, Tamar Sofer, Carla Luana Dinardo, Carlos Padilla, Edwin K. Silverman, Eduardo Tarazona‐Santos, Humberto Arboleda, Douglas P. Loesch, Michael Preuß, Mateus H. Gouveia, Ignacio Fernandez Mata, Maurício L. Barreto, Brian Custer, Eimear E. Kenny, Elena Diéguez, Artur Francisco Schumacher Schuh, Robert C. Kaplan, Michael Dean, William Fernández, Deborah A. Meyers, Maria Fernanda Lima‐Costa, Kari E. North, Carlos Roberto de Mello Rieder, Michel Satya Naslavsky, Michiel Rienstra, Jill M. Johnsen, Víctor Borda, Stephen S. Rich, Ravindranath Duggirala, Diego Véliz-Otani, Frank D. Gilliland, Jennifer N. French, Heinner Guio, Gonçalo R. Abecasis, Sunday Ikpe, Stephanie M. Gogarten, Isabela Alvim, Omar Cáceres, Joanne E. Curran, Roland Laboulaye, Zhanghua Chen, Bing Guo, César Sánchez, Timothy D. O’Connor, Jianwen Cai, Carlos Bustos, Jerome I. Rotter, Deborah A. Nickerson, Charles Kooperberg, Ralph L. Sacco, Scott T. Weiss, Alexander P. Reiner, Marcos A. Bezzera
article en
25 citations

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.

Cell GenomicsVol. 4(11)
QB3 (US), Universidad de Santiago de Chile (CL), Broad Institute (US), Universidade Federal de Minas Gerais (BR), University of North Carolina at Chapel Hill (US), University of Southern California (US), Universidade Federal da Bahia (BR), University of Maryland, Baltimore (US), Brigham and Women's Hospital (US), Albert Einstein College of Medicine (US), Universidade Federal do Rio Grande do Sul (BR), Universidade de Ribeirão Preto (BR), University Medical Center Groningen (NL), Universidade Federal de Ciências da Saúde de Porto Alegre (BR), Harvard University (US), University of Arizona (US), University of Miami (US), Universidade Federal de Pelotas (BR), University of Groningen (NL), Universidade de São Paulo (BR), Universidad de la República de Uruguay (UY), Universidad Peruana Cayetano Heredia (PE), University of Washington (US), Universidade Federal de Pernambuco (BR), Universidad Científica del Sur (PE), University of Michigan (US), Bloodworks Northwest (US), UCLA Medical Center (US), The University of Texas Rio Grande Valley (US), Pacific Research Institute (US), Universidad Nacional de Colombia (CO), Cleveland Clinic Lerner College of Medicine (US), Fred Hutch Cancer Center (US), National Human Genome Research Institute (US), The Coordinating Center (US), Instituto de Medicina Avançada (BR), Hospital de Clínicas de Porto Alegre (BR), Instituto Nacional de Salud del Niño (PE), Universidad de Huánuco (PE), Emmes (United States) (US), Dana-Farber Cancer Institute (US), Instituto Nacional de Salud (PE), Vitalant (US), Instituto de Saúde (BR), UCSF Benioff Children's Hospital (US), Circadian (United States) (US), National Cancer Institute (US), Harbor–UCLA Medical Center (US), University of Virginia (US), Fundação Oswaldo Cruz (BR), Universidade Federal do Pará (BR), Universidade Federal de São Paulo (BR), Icahn School of Medicine at Mount Sinai (US)
Broad Institute, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Ministério da Saúde, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 1%
Genetic Associations and Epidemiology
13.76
DOIOpen Access PDFOpenAlex
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