In one paragraphArticle in Genome biology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
28 authors.
Marlen Flores-HuacujaImmunogenomics and Metabolic Diseases Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0009-0001-1420-8879 Jazmín Ramos-MadrigalCenter for Evolutionary Hologenomics, Section for HoloGenomics, The Globe Institute, University of Copenhagen, Øster Farimagsgade 5A, 1352 Copenhagen, Denmark.ORCID 0000-0002-1661-7991 Cecilia Contreras-CubasImmunogenomics and Metabolic Diseases Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0000-0002-7994-3831 Francisco Barajas-OlmosImmunogenomics and Metabolic Diseases Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0000-0001-5064-6203 Angélica González-OliverDepartamento de Biología Celular, Facultad de Ciencias, Universidad Nacional Autonóma de México, Mexico City, Mexico.ORCID 0000-0003-4034-8143 Elvia Mendoza-CaamalGenomic Diagnostic Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0000-0002-6224-6829 Isabel Cicerón-ArellanoGenomic Diagnostic Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.
Federico Centeno-CruzImmunogenomics and Metabolic Diseases Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0000-0002-3512-4519 Emilio J CórdovaOncogenomics Consortium Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0000-0002-7556-3137 Paulina BacaImmunogenomics and Metabolic Diseases Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0000-0002-0617-5931 Silvia Esperanza Flores-MartínezDivisión de Medicina Molecular, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social (IMSS), Guadalajara, Mexico.
Rocío Ortiz-LópezTecnologico de Monterrey, oriGen Project and Escuela de Medicina y Ciencias de la Salud. Tecnologico de Monterrey, Monterrey, Mexico.ORCID 0000-0002-7783-026X Austin W ReynoldsDepartment of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, USA.ORCID 0000-0002-7154-1379 José Rafael Villafan-BernalImmunogenomics and Metabolic Diseases Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0000-0002-6135-4270 Alejandra Guadalupe García-ZapiénDepartamento de Farmacobiología, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Guadalajara, Mexico.ORCID 0000-0003-2626-2116 Haydee Miranda-OrtízUnidad de Secuenciación, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.ORCID 0000-0003-2275-3727 Blanca Patricia Lazalde-RamosUnidad Académica de Ciencias Químicas, Universidad Autónoma de Zacatecas, Zacatecas, Mexico.ORCID 0000-0002-1995-1696 Francisco Loeza-BecerraCentro Universitario de Estudios de Posgrado e Investigación, Universidad Michoacana de San Nicolás de Hidalgo, Michoacán, Mexico.
Alessandra CarnevaleMendelian Diseases Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0000-0003-4511-4557 Héctor Rangel-VillalobosInstituto de Investigación en Genética Molecular, Universidad de Guadalajara Ocotlán, Jalisco, Mexico.ORCID 0000-0003-2641-8782 Augusto Rojas-MartinezTecnologico de Monterrey, oriGen Project and Escuela de Medicina y Ciencias de la Salud. Tecnologico de Monterrey, Monterrey, Mexico.ORCID 0000-0003-3765-6778 Angélica Martínez-HernándezImmunogenomics and Metabolic Diseases Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0000-0001-9883-2988 Humberto García-OrtizImmunogenomics and Metabolic Diseases Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0000-0002-0453-980X Lorena OrozcoImmunogenomics and Metabolic Diseases Laboratory, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, Mexico.ORCID 0000-0002-5801-9180 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Mitochondrial DNA plays a key role in understanding the demographic history of human populations. Particularly in the Americas#nine widespread Native American specific mitochondrial lineages have been identified. Here we performed the whole mitogenome sequencing of 572 Indigenous individuals from 60 populations spanning the Mexican territory. To minimize the effects of European and African admixture#we focused on individuals with at least 90% Native American ancestry#estimated by ADMIXTURE. We identified all the five major Native American haplogroups clades#with A2 being the most prevalent (53.9%)#followed by B2 (24.0%)#C1 (17.6%)#D1 (4.3%)#and D4h3a (0.2%). We also identified 82 different subhaplogroup widespread across the country#revealing shared mtDNA haplogroups in populations from distant regions. Moreover#mitochondrial DNA variation in the Mexican Native populations is not structured by geography or linguistic affiliation#suggesting complex gene flow across regions. Demographic reconstructions based on whole mitogenomes showed an exponential increase the maternal Ne around 10 kya in all tested regions. All these findings suggest a mitochondrial genetic persistence through Mexico and possibly the Americas.
Indexed as
Genome, MitochondrialIndians, North AmericanDNA, MitochondrialGenetics, PopulationGenetic VariationHaplotypesHumansMexicoPhylogenyDNA, Mitochondrialhaplogroupsmaternal Nemesoamerican-related expansionMexican Indigenous populationsmitochondrial DNA
Identifiers
PMID42030421
PMCPMC13172735
What OpenQuestion holds
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LicenceCC BY-NC
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