Imputation performance in Latin American populations: improving rare variants representation with the inclusion of native American genomes

• Main Authors: Jiménez-Kaufmann, Andrés, Chong, Amanda Y., Cortés, Adrián, Quinto-Cortés, Consuelo D., Fernandez-Valverde, Selene L., Ferreyra-Reyes, Leticia, Cruz-Hervert, Luis Pablo, Medina-Muñoz, Santiago G., Sohail, Mashaal, Palma-Martinez, María J., Delgado-Sánchez, Gudalupe, Mongua-Rodríguez, Norma, Mentzer, Alexander J., Hill, Adrian V. S., Moreno-Macías, Hortensia, Huerta-Chagoya, Alicia, Aguilar-Salinas, Carlos A., Torres, Michael, Kim, Hie Lim, Kalsi, Namrata, Schuster, Stephan Christoph, Tusié-Luna, Teresa, Del-Vecchyo, Diego Ortega, García-García, Lourdes, Moreno-Estrada, Andrés
• Other Authors: School of Biological Sciences
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Biological sciences; Imputation; Reference Panels
• Online Access: https://hdl.handle.net/10356/161478
• Institution: Nanyang Technological University

Current Genome-Wide Association Studies (GWAS) rely on genotype imputation to increase statistical power, improve fine-mapping of association signals, and facilitate meta-analyses. Due to the complex demographic history of Latin America and the lack of balanced representation of Native American geno...