The genetics of Mexico recapitulates Native American substructure and affects biomedical traits
Open accessAbstract
The population structure of Native Mexicans: The genetics of indigenous Mexicans exhibit substantial geographical structure, some as divergent from each other as are existing populations of Europeans and Asians. By performing genome-wide analyses on Native Mexicans from differing populations, Moreno-Estrada et al. successfully recapitulated the pre-Columbian substructure of Mexico. This ancestral structure is evident among cosmopolitan Mexicans and is correlated with subcontinental origins and medically relevant aspects of lung function. These findings exemplify the importance of understanding the genetic contributions of admixed individuals. Science , this issue p. 1280
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Individuals from countries across South America, the Caribbean, and Mexico have different profiles of genetic ancestry molded by each population's unique history and interactions with local Native American populations.
“Individuals from countries across South America, the Caribbean, and Mexico have different profiles of genetic ancestry molded by each population’s unique history and interactions with local Native American populations.1,19–25”
From The genetic ancestry of African Americans, Latinos, and European Americans across the United States (2015) · cites this paper as [1]
The paper’s discussion of Native American population substructure (page not provided) reports geographically varying ancestry profiles among Mexican mestizos and links them to pre-Columbian diversity. It does not establish the claimed differences among countries across South America, the Caribbean, and Mexico; its findings here concern Mexico. (LLM, conf=0.87)
Experimental — accuracy not yet measuredUnderstanding genetic ancestry of individuals from a self-reported population, and differences in ancestry patterns among regions, can inform medical studies and personalized medical treatment.
“Understanding genetic ancestry of individuals from a self-reported population, and differences in ancestry patterns among regions, can inform medical studies and personalized medical treatment.1”
From The genetic ancestry of African Americans, Latinos, and European Americans across the United States (2015) · cites this paper as [1]
The matrix completion method used permits all samples, not only a reference panel, to be used for completion, which allows more accurate completion.
“Unlike earlier methods69, this method permits the use of all samples, rather than only a panel of reference samples, for the completion step; thus, far more data is used allowing for more accurate completion.”
From Paths and timings of the peopling of Polynesia inferred from genomic networks (2021) · cites this paper as [68]
The passage on reference panels (section labeled Abstract; page unavailable) concerns haplotype sharing in Mexican samples, not a matrix-completion method. Searches for matrix completion, the completion step, and missing-data imputation found no passage saying that all samples can be used for completion or that doing so improves accuracy. (LLM, conf=0.76)
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- Authors
- Moreno-Estrada, A., Gignoux, C. R., Fernández-López, J. C., Zakharia, F., Sikora, M., Contreras, A. V., Acuña-Alonzo, V., Sandoval, K., Eng, C., Romero-Hidalgo, S., Ortiz-Tello, P., Robles, V., Kenny, E. E., Nuño-Arana, I., Barquera-Lozano, R., Macín-Pérez, G., Granados-Arriola, J., Huntsman, S., Galanter, J. M., Via, M., Ford, J. G., Chapela, R., Rodriguez-Cintron, W., Rodríguez-Santana, J. R., Romieu, I., Sienra-Monge, J. J., Navarro, B. D. R., London, S. J., Ruiz-Linares, A., Garcia-Herrera, R., Estrada, K., Hidalgo-Miranda, A., Jimenez-Sanchez, G., Carnevale, A., Soberón, X., Canizales-Quinteros, S., Rangel-Villalobos, H., Silva-Zolezzi, I., Burchard, E. G., & Bustamante, C. D.
- Affiliations
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
- University of California, San Francisco (US)
- National Institute of Genomic Medicine (MX)
- Stanford Medicine (US)
- Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico.
- Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.
- Instituto de Investigación en Genética Molecular, Universidad de Guadalajara, Ocotlán, Mexico.
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
- Department of Medicine, University of California, San Francisco, CA, USA.
- Brooklyn Hospital Center (US)
- Instituto Nacional de Enfermedades Respiratorias (MX)
- Veterans Caribbean Health Care System, San Juan, Puerto Rico.
- Centre international de recherche sur le cancer (FR)
- Hospital Infantil de México Federico Gómez (MX)
- Hospital Infantil de México Federico Gomez, Mexico City, Mexico.
- National Institute of Environmental Health Sciences (US)
- Department of Genetics, Evolution and Environment, University College London, London, UK.
- Corresponding author
- Gignoux, Christopher R.
- Fernández-López, Juan Carlos
- Burchard, Esteban Gonzalez
- Bustamante, Carlos D.
- ORCID
- Gignoux, Christopher R.
- Fernández-López, Juan Carlos
- Sikora, Martin
- Contreras, Alejandra V.
- Sandoval, Karla
- Eng, Celeste
- Kenny, Eimear E.
- Huntsman, Scott
- Galanter, Joshua M.
- Ford, Jean G.
- Romieu, Isabelle
- Sienra-Monge, Juan José
- London, Stephanie J.
- Estrada, Karol
- Carnevale, Alessandra
- Soberón, Xavier
- Burchard, Esteban Gonzalez
- Bustamante, Carlos D.
- Venue
- Science
- Published
- 2014-06-13
- Volume
- 344
- Issue
- 6189
- Pages
- 1280-1285
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC4156478
- OpenAlex
- W2087437533
- Cited by
- 478
- References
- 64
- Citations by year
- 2026: 25 · 2025: 27 · 2024: 22 · 2023: 24 · 2022: 28 · 2021: 48 · 2020: 38 · 2019: 50 · 2018: 64 · 2017: 50 · 2016: 51 · 2015: 36 · 2014: 13 · 2013: 1
- FWCI
- 32.84
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Robert Wood Johnson Foundation
- World Health Organization
- Sandler Foundation
- American Asthma Foundation
- Fundación Mexicana para la Salud
- Australian Government
- Invitae
- Consejo Nacional de Ciencia y Tecnología (129693)
- Instituto Nacional de Medicina Genómica
- National Institutes of Health (2m01rr000083-41)
- University of California, San Francisco
- Biotechnology and Biological Sciences Research Council (BB/I021213/1)
- National Heart, Lung, and Blood Institute (K23HL004464, HL004464, R01HL088133, HL078885, HL088133, K23HL111636, HL111636, R01HL078885)
- National Human Genome Research Institute (R01HG003229, T32HG000044)
- National Institute of General Medical Sciences (R01GM083606, GM-061390, U19GM061390, R01GM090087, GM007546, T32GM007175, U01GM061390, T32GM007546)
- National Institute of Environmental Health Sciences (R01ES015794, ES015794, Z01ES049019, ZIA ES49019, ZIAES049019)
- National Center for Research Resources (RR000083, M01-RR000083)
- National Institute on Minority Health and Health Disparities (P60MD006902, R13MD008154)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
- Keywords
- human genetic variation, indigenous peoples, mestizo population, genetic stratification, admixture, lung function, Mexican Americans, geographic isolation, population genetics
- MeSH terms
- Humans, Indians, North American, Mexico, Population, Genetic Variation, Genome, Human, Mexican Americans, Black People, White People
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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