Evidence map›Paper›PMID 41566040›Full record

ArticleNature medicine2026

Clinical genetic variation across Hispanic populations in the Mexican Biobank.

Carmina Barberena-Jonas, Santiago G Medina-Muñoz, Viankail Cedillo-Castelán, Tania Sepúlveda-Morales, Claudia Gonzaga-Jáuregui, ENSA Genomics Consortium, Lourdes García-García, Alexander G Ioannidis, Andrés Moreno-Estrada

Abstract read
In one paragraph

Article in Nature medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Type 2 diabetes genetics in 125,000 admixed adults from Mexico City.medRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Carmina Barberena-JonasAging Research Center, Cinvestav Sede Sur, Center for Research and Advanced Studies of the National Polytechnic Institute, Mexico City, Mexico.ORCID http://orcid.org/0000-0001-7413-638X
Santiago G Medina-MuñozAging Research Center, Cinvestav Sede Sur, Center for Research and Advanced Studies of the National Polytechnic Institute, Mexico City, Mexico.
Viankail Cedillo-CastelánAging Research Center, Cinvestav Sede Sur, Center for Research and Advanced Studies of the National Polytechnic Institute, Mexico City, Mexico.
Tania Sepúlveda-MoralesLaboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Juriquilla, Mexico.
Claudia Gonzaga-JáureguiLaboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Juriquilla, Mexico.
ENSA Genomics Consortium
Lourdes García-GarcíaInstituto Nacional de Salud Pública (INSP), Cuernavaca, Mexico. garcigarml@gmail.com.ORCID http://orcid.org/0000-0001-5262-1157
Alexander G IoannidisDepartment of Genetics, Stanford University, Stanford, CA, USA. ioannidis@stanford.edu.ORCID http://orcid.org/0000-0002-4735-7803
Andrés Moreno-EstradaAging Research Center, Cinvestav Sede Sur, Center for Research and Advanced Studies of the National Polytechnic Institute, Mexico City, Mexico. andres.moreno@cinvestav.mx.ORCID http://orcid.org/0000-0001-8329-8292

Funding

Newton Fund MR/N028937/1
6 · The paper itself

Abstract

Genetic testing for specific alleles is often recommended based on an individual's ancestry. However, the frequency of pathogenic and pharmacogenomic alleles across different Hispanic groups has not been well characterized, and existing guidelines often fail to recognize the geographic and ancestral diversity within these populations. Here analyzing data from 6,011 individuals from the nationwide Mexican Biobank, we show that Mexican individuals have striking regional differences in biomedically relevant allele frequencies, shaped both by their overall admixture proportions, but also by the local Indigenous ancestral groups contributing to their genome (for example, Nahua in central Mexico, Zapotec in the South or Maya in the Yucatan peninsula). We found ancestry-specific patterns with clinical implications that could not have been detected without a local ancestry-informed approach, including variants affecting fentanyl (rs2242480) and statin (rs4149056) metabolism, examples particularly relevant to the epidemiology of Hispanic populations. This analysis framework could inform genetic testing guidelines across the Americas. We are making available the results for 42,769 biomedically relevant genotyped variants through MexVar, a user-friendly platform designed to improve access to genomic data for the scientific community and support genetic analyses for populations of Mexican descent worldwide.

Indexed as

Genetic VariationHispanic or LatinoAllelesBiological Specimen BanksGene FrequencyGenetics, PopulationGenetic TestingGenotypeHumansMexicoPolymorphism, Single Nucleotide

Identifiers

PMID41566040
PMCPMC12920135

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.