TY - JOUR T1 - Nationwide genomic biobank in Mexico unravels demographic history and complex trait architecture from 6,057 individuals JF - bioRxiv DO - 10.1101/2022.07.11.499652 SP - 2022.07.11.499652 AU - Mashaal Sohail AU - Amanda Y. Chong AU - Consuelo D. Quinto-Cortes AU - María J. Palma-Martínez AU - Aaron Ragsdale AU - Santiago G. Medina-Muñoz AU - Carmina Barberena-Jonas AU - Guadalupe Delgado-Sánchez AU - Luis Pablo Cruz-Hervert AU - Leticia Ferreyra-Reyes AU - Elizabeth Ferreira-Guerrero AU - Norma Mongua-Rodríguez AU - Andrés Jimenez-Kaufmann AU - Hortensia Moreno-Macías AU - Carlos A. Aguilar-Salinas AU - Kathryn Auckland AU - Adrián Cortés AU - Víctor Acuña-Alonzo AU - Alexander G. Ioannidis AU - Christopher R. Gignoux AU - Genevieve L. Wojcik AU - Selene L. Fernández-Valverde AU - Adrian V.S. Hill AU - María Teresa Tusié-Luna AU - Alexander J. Mentzer AU - John Novembre AU - Lourdes García-García AU - Andrés Moreno-Estrada Y1 - 2022/01/01 UR - http://biorxiv.org/content/early/2022/07/13/2022.07.11.499652.abstract N2 - Latin America continues to be severely underrepresented in genomics research, and fine-scale genetic histories as well as complex trait architectures remain hidden due to the lack of Big Data. To fill this gap, the Mexican Biobank project genotyped 1.8 million markers in 6,057 individuals from 32 states and 898 sampling localities across Mexico with linked complex trait and disease information creating a valuable nationwide genotype-phenotype database. Through a suite of state-of-the-art methods for ancestry deconvolution and inference of identity-by-descent (IBD) segments, we inferred detailed ancestral histories for the last 200 generations in different Mesoamerican regions, unraveling native and colonial/post-colonial demographic dynamics. We observed large variations in runs of homozygosity (ROH) among genomic regions with different ancestral origins reflecting their demographic histories, which also affect the distribution of rare deleterious variants across Mexico. We analyzed a range of biomedical complex traits and identified significant genetic and environmental factors explaining their variation, such as ROH found to be significant predictors for trait variation in BMI and triglycerides.Competing Interest StatementThe authors have declared no competing interest. ER -