Evidence map›Paper›PMID 41611361›Full record

ArticleThe Lancet. Public health2026

The effect of Indigenous American genomic ancestry on type 2 diabetes in Mexico: an analysis of 134 548 individuals from the Mexico City Prospective Study.

Jaime Berumen, Pablo Kuri-Morales, Jason M Torres, Elizabeth Barrera, Paulina Baca, Fernando Rivas, Laura Alejandra Ramirez-Tirado, Carlos Gonzalez-Carballo, Alberto Zarza, Georgina Del Vecchyo-Tenorio and 8 more

Abstract read
In one paragraph

Article in The Lancet. Public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

18 authors.

Jaime BerumenUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Pablo Kuri-MoralesPrograma OriGen, Instituto Tecnológico de Monterrey, Monterrey, México.
Jason M TorresClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Elizabeth BarreraUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Paulina BacaUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Fernando RivasUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Laura Alejandra Ramirez-TiradoUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Carlos Gonzalez-CarballoUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Alberto ZarzaUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Georgina Del Vecchyo-TenorioUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Oscar Pérez-FloresUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Carlos Pantoja-MelendezUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Raúl RamírezUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Diego Aguilar-RamirezClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Louisa Gnatiuc FriedrichsClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Jonathan R EmbersonClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Jesús Alegre-DiazUnidad de Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico. Electronic address: inypcjad@gmail.com.
Roberto Tapia-ConyerDivisión de Posgrado, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico. Electronic address: tapiaconyer@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of type 2 diabetes in Mexico is among the highest in the world and a major public health problem. The aim of this study was to examine the association between the percentage of Indigenous American genomic ancestry (AMR) and the prevalence of both prediabetes and type 2 diabetes in a large study of Mexican adults.

methodsIn this cross-sectional study, we analysed data from 134 548 individuals from the Mexico City Prospective Study (MCPS), including sociodemographic, clinical, and genetic data. Type 2 diabetes was defined as a self-reported previous diagnosis, glucose-lowering medication, or glycated hemoglobin (HbA

findingsBetween April 14, 1998, and Sept 28, 2004, 159 755 participants were recruited into MCPS. Among these, 134 548 participants were selected for subsequent analyses (mean age 52 years [SD 12·6]; 90 688 [67·4%] women and 43 860 [32·6%] men); mean AMR ancestry percentage was 66·2% (SD 17·9). Across AMR tenths (mean AMR ranging from 34·8% [SD 7·9] to 94·7% [SD 2·7]), the prevalence of prediabetes increased from 19·2% (2573 of 13 376) to 26·3% (3529 of 13 421) and of type 2 diabetes from 13·5% (1805 of 13 376) to 23·4% (3142 of 13 421). After adjustment for age and sex, each 20% absolute increase in AMR was associated with substantially increased odds of type 2 diabetes (odds ratio [OR] 1·45 [95% CI 1·43-1·48]) and of prediabetes (OR 1·28 [1·26-1·30]). Further adjustment for socioeconomic status, lifestyle factors, and adiposity reduced these ORs to 1·33 (1·31-1·36) for type 2 diabetes and 1·18 (1·16-1·20) for prediabetes. Consequently, at the population mean AMR ancestry percentage, these fully adjusted ORs were 2·59 (2·44-2·75) for type 2 diabetes and 1·75 (1·65-1·85) for prediabetes, whereas among Indigenous populations with 100% AMR ancestry, ORs were 4·23 (3·85-4·64) for type 2 diabetes and 2·33 (2·14-2·54) for prediabetes. ORs for type 2 diabetes and prediabetes associated with higher AMR were higher for women than for men, for younger than for older participants, and were further reduced in magnitude following additional adjustment for a type 2 diabetes polygenic risk score.

interpretationThe percentage of inherited AMR ancestry is strongly associated with prediabetes and type 2 diabetes in this admixed Mexican population. These findings suggest that most of the Mexican population has a higher genetic susceptibility to type 2 diabetes than European-ancestry populations, underscoring the need for health systems to implement earlier, more intensive, and population-targeted preventive strategies.

fundingMexican Health Ministry, National Council of Science and Technology for Mexico, Wellcome Trust, Cancer Research UK, British Heart Foundation, Kidney Research UK, and UK Medical Research Council.

Indexed as

Diabetes Mellitus, Type 2Indians, North AmericanPrediabetic StateAdultAgedCross-Sectional StudiesFemaleHumansMaleMexicoMiddle AgedPrevalenceProspective StudiesRisk Factors

Identifiers

PMID41611361
PMCPMC12873227

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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.