Article
Genetics of Latin American Diversity (GLAD) Project: insights into population genetics and association studies in recently admixed groups in the Americas
Registro en:
2692-8205
Autor
Borda, Victor
Loesch, Douglas P.
Guo, Bing
Laboulaye, Roland
Veliz-Otani, Diego
FrenchKwawu, Jennifer N.
Leal, Thiago Peixoto
Gogarten, Stephanie M.
Ikpe, Sunday
Gouveia, Mateus H.
Mendes, Marla
Abecasis, Gonçalo R.
Alvim, Isabela
Arboleda-Bustos, Carlos E.
Arboleda, Gonzalo
Arboleda, Humberto
Barreto, Mauricio L.
Barwick, Lucas
Bezzera, Marcos A.
Blangero, John
Borges, Vanderci
Caceres, Omar
Cai, Jianwen
Chana-Cuevas, Pedro
Chen, Zhanghua
Custer, Brian
Dean, Michael
Dinardo, Carla
Domingos, Igor
Duggirala, Ravindranath
Dieguez, Elena
Fernandez, Willian
Ferraz, Henrique B.
Gilliland, Frank
Guio, Heinner
Horta, Bernardo
Curran, Joanne E.
Johnsen, Jill M.
Kaplan, Robert C.
Kelly, Shannon
Kenny, Eimear E.
Kittner, Stephen
Konkle, Barbara A.
Kooperberg, Charles
Lescano, Andres
Costa, Maria Fernanda Furtado Lima
Loos, Ruth J. F.
Manichaikul, Ani
Meyers, Deborah A.
Mitchell, Braxton D.
Naslavsky, Michel S.
Nickerson, Deborah A.
North, Kari E.
Padilla, Carlos
Preuss, Michael
Raggio, Victor
Reiner, Alexander P.
Rich, Stephen S.
Rieder, Carlos R.
Rienstra, Michiel
Rotter, Jerome I.
Rundek, Tatjana
Sacco, Ralph L.
Sanchez, Cesar
Santos-Lobato, Bruno Lopes
Schumacher-Schuh, Artur Francisco
Scliar, Marilia O.
Silverman, Edwin K.
Sofer, Tamar
Lasky-Su, Jessica
Tumas, Vitor
Weiss, Scott T.
Diversos autores
Mata, Ignacio F.
Hernandez, Ryan D.
Santos, Eduardo Tarazona
O’Connor, Timothy D.
Resumen
Latin America is underrepresented in genetic studies, which can exacerbate disparities in personalized genomic medicine. However, genetic data of thousands of Latin Americans are already publicly available, but require a bureaucratic maze to navigate all the data access and consenting issues. We present the Genetics of Latin American Diversity (GLAD) Project, a platform that compiles genome-wide information of 54,077 Latin Americans from 39 studies representing 45 geographical regions. Through GLAD, we identified heterogeneous ancestry composition and recent gene-flow across the Americas. Also, we developed a simulated-annealing-based algorithm to match the genetic background of external samples to our database and share summary statistics without transferring individual-level data. Finally, we demonstrate the potential of GLAD as a critical resource for evaluating statistical genetic softwares in the presence of admixture. By making this resource available, we promote genomic research in Latin Americans and contribute to the promises of personalized medicine to more people.