ArticleGenome biology and evolution2025
Genome-Wide Selection Scans in Mexican Indigenous Populations Reveal Recent Signatures of Pathogen and Diet Adaptation.
Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Genetic and genomic insights of the Comcáac people.Journal of community genetics · 2025Review
- Application of next-generation sequencing to determine mutations in candidate genes for congenital eye malformations in the Mexican indigenous population.Frontiers in genetics · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whole-genome scans for natural selection signatures across Mexican indigenous populations remain underrepresented in the literature. Here, we conducted the first comparative analysis of genetic adaptation in Mexican indigenous populations using whole-genome sequencing data from 76 individuals representing 27 different ethnic groups in Mexico. We divided the cohort into northern, central, and southern populations and identified signals of natural selection within and across populations. We find evidence of adaptation to pathogenic environments in all our populations, including significant signatures in the Duffy blood group gene in central Mexican indigenous populations. Despite each region exhibiting unique local adaptation profiles, selection signatures on ARHGAP15, VGLL4, LINGO2, SYNDIG1, and TFAP2B were common to all populations. Our results also suggest that selection signatures falling within enhancers or promoters are usually connected to noncoding features, with notable exceptions like ARHGAP15 and GTDC1. This paper provides new evidence on the selection landscape of Mexican indigenous populations and lays the foundation for additional work on Mexican phenotypic characterization.
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