Victor Borda, Douglas P Loesch, Bing Guo, Roland Laboulaye, Diego Veliz-Otani, Jennifer N French, Thiago Peixoto Leal, Stephanie M Gogarten, Sunday Ikpe, Mateus H Gouveia, Marla Mendes, Gonçalo R Abecasis, Isabela Alvim, Carlos E Arboleda-Bustos, Gonzalo Arboleda, Humberto Arboleda, Mauricio L Barreto, Lucas Barwick, Marcos A Bezzera, John Blangero, Vanderci Borges, Omar Caceres, Jianwen Cai, Pedro Chana-Cuevas, Zhanghua Chen, Brian Custer, Michael Dean, Carla Dinardo, Igor Domingos, Ravindranath Duggirala, Elena Dieguez, Willian Fernandez, Henrique B Ferraz, Frank Gilliland, Heinner Guio, Bernardo Horta, Joanne E Curran, Jill M Johnsen, Robert C Kaplan, Shannon Kelly, Eimear E Kenny, Barbara A Konkle, Charles Kooperberg, Andres Lescano, M Fernanda Lima-Costa, Ruth J F Loos, Ani Manichaikul, Deborah A Meyers, Michel S Naslavsky, Deborah A Nickerson, Kari E North, Carlos Padilla, Michael Preuss, Victor Raggio, Alexander P Reiner, Stephen S Rich, Carlos R Rieder, Michiel Rienstra, Jerome I Rotter, Tatjana Rundek, Ralph L Sacco, Cesar Sanchez, Vijay G Sankaran, Bruno Lopes Santos-Lobato, Artur Francisco Schumacher-Schuh, Marilia O Scliar, Edwin K Silverman, Tamar Sofer, Jessica Lasky-Su, Vitor Tumas, Scott T Weiss, Ignacio F Mata, Ryan D Hernandez, Eduardo Tarazona-Santos, Timothy D O'Connor
{"title":"Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas.","authors":"Victor Borda, Douglas P Loesch, Bing Guo, Roland Laboulaye, Diego Veliz-Otani, Jennifer N French, Thiago Peixoto Leal, Stephanie M Gogarten, Sunday Ikpe, Mateus H Gouveia, Marla Mendes, Gonçalo R Abecasis, Isabela Alvim, Carlos E Arboleda-Bustos, Gonzalo Arboleda, Humberto Arboleda, Mauricio L Barreto, Lucas Barwick, Marcos A Bezzera, John Blangero, Vanderci Borges, Omar Caceres, Jianwen Cai, Pedro Chana-Cuevas, Zhanghua Chen, Brian Custer, Michael Dean, Carla Dinardo, Igor Domingos, Ravindranath Duggirala, Elena Dieguez, Willian Fernandez, Henrique B Ferraz, Frank Gilliland, Heinner Guio, Bernardo Horta, Joanne E Curran, Jill M Johnsen, Robert C Kaplan, Shannon Kelly, Eimear E Kenny, Barbara A Konkle, Charles Kooperberg, Andres Lescano, M Fernanda Lima-Costa, Ruth J F Loos, Ani Manichaikul, Deborah A Meyers, Michel S Naslavsky, Deborah A Nickerson, Kari E North, Carlos Padilla, Michael Preuss, Victor Raggio, Alexander P Reiner, Stephen S Rich, Carlos R Rieder, Michiel Rienstra, Jerome I Rotter, Tatjana Rundek, Ralph L Sacco, Cesar Sanchez, Vijay G Sankaran, Bruno Lopes Santos-Lobato, Artur Francisco Schumacher-Schuh, Marilia O Scliar, Edwin K Silverman, Tamar Sofer, Jessica Lasky-Su, Vitor Tumas, Scott T Weiss, Ignacio F Mata, Ryan D Hernandez, Eduardo Tarazona-Santos, Timothy D O'Connor","doi":"10.1016/j.xgen.2024.100692","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":" ","pages":"100692"},"PeriodicalIF":11.1000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell genomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.xgen.2024.100692","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/31 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
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.