The Consortium for Genomic Diversity, Ancestry, and Health in Colombia (CÓDIGO): building local capacity in genomics and bioinformatics

Abstract The Consortium for Genomic Diversity, Ancestry, and Health in Colombia (CÓDIGO) aims to build a community of Colombian researchers in support of local capacity in genomics, bioinformatics, and precision health. Here, we present the first CÓDIGO data release and the consortium web platform,...

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Main Authors: Leonardo Mariño-Ramírez, Shivam Sharma, James Matthew Hamilton, Thanh Long Nguyen, Sonali Gupta, Aravinth Venkatesh Natarajan, Shashwat Deepali Nagar, Jay Landon Menuey, Wei-An Chen, Adalberto Sánchez-Gómez, José María Satizábal-Soto, Beatriz Martínez, Javier Marrugo, Miguel A. Medina-Rivas, Juan Esteban Gallo, I. King Jordan, Augusto Valderrama-Aguirre
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-025-08496-9
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Summary:Abstract The Consortium for Genomic Diversity, Ancestry, and Health in Colombia (CÓDIGO) aims to build a community of Colombian researchers in support of local capacity in genomics, bioinformatics, and precision health. Here, we present the first CÓDIGO data release and the consortium web platform, including annotations for more than 95 million genetic variants from 1441 samples representing 14 populations from across the country. CÓDIGO samples show a wide range of African (16.7%), Indigenous American (32.8%), and European (50.6%) genetic ancestry components, with five distinct ancestry clusters. Thousands of ancestry-enriched variants, with divergent allele frequencies across clusters, show pharmacogenomic and clinical genetic associations. Examples include African ancestry-enriched variants associated with fast metabolism of the immunosuppressive drug tacrolimus and malaria resistance, and European ancestry-enriched variants associated with nicotine dependence and hereditary hemochromatosis. CÓDIGO reveals the nexus between ancestry and health in Colombia and underscores the utility of collaborative genome sequence analysis efforts.
ISSN:2399-3642