Evidence map›Paper›PMID 31848607›Full record

ArticleMolecular biology and evolution2020

Population History and Gene Divergence in Native Mexicans Inferred from 76 Human Exomes.

María C Ávila-Arcos, Kimberly F McManus, Karla Sandoval, Juan Esteban Rodríguez-Rodríguez, Viridiana Villa-Islas, Alicia R Martin, Pierre Luisi, Rosenda I Peñaloza-Espinosa, Celeste Eng, Scott Huntsman and 4 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Molecular biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  4. Admixture Mapping of Lipid Traits in Hispanic Americans.Journal of the American Heart Association · 2025
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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

14 authors at 6 institutions in 3 countries.

María C Ávila-ArcosInternational Laboratory for Human Genome Research (LIIGH), UNAM Juriquilla, Queretaro, Mexico.
Kimberly F McManusDepartment of Biology, Stanford University, Stanford, CA.
Karla SandovalNational Laboratory of Genomics for Biodiversity (LANGEBIO), UGA, CINVESTAV, Irapuato, Guanajuato 36821, Mexico.
Juan Esteban Rodríguez-RodríguezNational Laboratory of Genomics for Biodiversity (LANGEBIO), UGA, CINVESTAV, Irapuato, Guanajuato 36821, Mexico.
Viridiana Villa-IslasInternational Laboratory for Human Genome Research (LIIGH), UNAM Juriquilla, Queretaro, Mexico.
Alicia R MartinDepartment of Genetics, Stanford University School of Medicine, Stanford, CA.
Pierre LuisiCentro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas, Consejo Nacional de Investigaciones Científicas y Técnicas, Córdoba, Argentina.
Rosenda I Peñaloza-EspinosaDivision of Biological and Health Sciences, Department of Biological Systems, Universidad Autónoma Metropolitana-Xochimilco, Mexico City, Mexico.
Celeste EngDepartment Bioengineering & Therapeutic Sciences and Medicine, University of California San Francisco, San Francisco, CA.
Scott HuntsmanDepartment Bioengineering & Therapeutic Sciences and Medicine, University of California San Francisco, San Francisco, CA.
Esteban G BurchardDepartment Bioengineering & Therapeutic Sciences and Medicine, University of California San Francisco, San Francisco, CA.
Christopher R GignouxDivision of Biomedical Informatics and Personalized Medicine, University of Colorado, Denver, CO.
Carlos D BustamanteDepartment of Genetics, Stanford University School of Medicine, Stanford, CA.
Andrés Moreno-EstradaNational Laboratory of Genomics for Biodiversity (LANGEBIO), UGA, CINVESTAV, Irapuato, Guanajuato 36821, Mexico.
Stanford University · USCenter for Research and Advanced Studies of the National Polytechnic Institute · MXUniversity of California, San Francisco · USUniversidad Autónoma Metropolitana · MXUniversidad Nacional de Córdoba · ARUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Native American genetic variation remains underrepresented in most catalogs of human genome sequencing data. Previous genotyping efforts have revealed that Mexico's Indigenous population is highly differentiated and substructured, thus potentially harboring higher proportions of private genetic variants of functional and biomedical relevance. Here we have targeted the coding fraction of the genome and characterized its full site frequency spectrum by sequencing 76 exomes from five Indigenous populations across Mexico. Using diffusion approximations, we modeled the demographic history of Indigenous populations from Mexico with northern and southern ethnic groups splitting 7.2 KYA and subsequently diverging locally 6.5 and 5.7 KYA, respectively. Selection scans for positive selection revealed BCL2L13 and KBTBD8 genes as potential candidates for adaptive evolution in Rarámuris and Triquis, respectively. BCL2L13 is highly expressed in skeletal muscle and could be related to physical endurance, a well-known phenotype of the northern Mexico Rarámuri. The KBTBD8 gene has been associated with idiopathic short stature and we found it to be highly differentiated in Triqui, a southern Indigenous group from Oaxaca whose height is extremely low compared to other Native populations.

Indexed as

Evolution, MolecularGenetic VariationAdaptation, BiologicalAmerican Indian or Alaska NativeExomeHumansMexicoPhylogeographyadaptive evolutiondemographic inferenceexome sequencingNative Americans

Identifiers

PMID31848607
PMCPMC7086176
OpenAlexW2996217902

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.