Evidence map›Paper›PMID 35460423›Full record

ArticleMolecular biology and evolution2022

Disentangling Signatures of Selection Before and After European Colonization in Latin Americans.

Javier Mendoza-Revilla, J Camilo Chacón-Duque, Macarena Fuentes-Guajardo, Louise Ormond, Ke Wang, Malena Hurtado, Valeria Villegas, Vanessa Granja, Victor Acuña-Alonzo, Claudia Jaramillo and 25 more

Open access · goldAbstract read
In one paragraph

Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
13.4field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Contrasting signals of selection at theJournal of genetics · 2026
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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

35 authors at 19 institutions in 13 countries.

Javier Mendoza-RevillaDepartment of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.ORCID 0000-0002-4026-9333
J Camilo Chacón-DuqueCentre for Palaeogenetics, Stockholm, Sweden.
Macarena Fuentes-GuajardoDepartamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, Chile.
Louise OrmondDepartment of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.
Ke WangDepartment of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.
Malena HurtadoLaboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú.
Valeria VillegasLaboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú.
Vanessa GranjaLaboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú.
Victor Acuña-AlonzoNational School of Anthropology and History, Mexico City, Mexico.
Claudia JaramilloGENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia.
William AriasGENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia.
Rodrigo BarqueraDepartment of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Jorge Gómez-ValdésNational School of Anthropology and History, Mexico City, Mexico.
Hugo Villamil-RamírezUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Caio C Silva de CerqueiraDepartamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Keyla M Badillo RiveraDepartment of Genetics, Stanford School of Medicine, Stanford, CA, USA.
Maria A Nieves-ColónDepartment of Anthropology, University of Minnesota Twin Cities, Minneapolis, MN, USA.
Christopher R GignouxDepartment of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Genevieve L WojcikBloomberg School of Public Health, John Hopkins University, Baltimore, MD, USA.
Andrés Moreno-EstradaLaboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), CINVESTAV, Irapuato, Guanajuato, Mexico.
Tábita HünemeierDepartamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID 0000-0002-3156-2079
Virginia RamalloDepartamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Lavinia Schuler-FacciniDepartamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Rolando Gonzalez-JoséInstituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina.
Maria-Cátira BortoliniDepartamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Samuel Canizales-QuinterosUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Carla GalloLaboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú.
Giovanni PolettiLaboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú.
Gabriel BedoyaGENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia.
Francisco RothhammerInstituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile.
David BaldingDepartment of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.
Matteo FumagalliSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-4084-2953
Kaustubh AdhikariSchool of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, United Kingdom.
Andrés Ruiz-LinaresDepartment of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.
Garrett HellenthalDepartment of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.ORCID 0000-0002-5760-8020
Universidade Federal do Rio Grande do Sul · BRUniversidad Peruana Cayetano Heredia · PEUniversidad de Antioquia · COCentre National de la Recherche Scientifique · FRMax Planck Institute for Evolutionary Anthropology · DENational Institute of Anthropology and History · MXNational Institute of Genomic Medicine · MXUniversity College London · GBUniversity of Tarapacá · CLCentro Científico Tecnológico Patagónico · ARCentro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional · MXJohns Hopkins University · USQueen Mary University of London · GBStanford Medicine · USStockholm University · SEThe Open University · GBThe University of Melbourne · AUUniversity of Colorado Anschutz Medical Campus · USUniversity of Minnesota · US

Funding

Biotechnology and Biological Sciences Research Council BB/I021213/1Biotechnology and Biological Sciences Research Council BB/R01356X/1Wellcome Trust 098386/Z/12/Z
6 · The paper itself

Abstract

Throughout human evolutionary history, large-scale migrations have led to intermixing (i.e., admixture) between previously separated human groups. Although classical and recent work have shown that studying admixture can yield novel historical insights, the extent to which this process contributed to adaptation remains underexplored. Here, we introduce a novel statistical model, specific to admixed populations, that identifies loci under selection while determining whether the selection likely occurred post-admixture or prior to admixture in one of the ancestral source populations. Through extensive simulations, we show that this method is able to detect selection, even in recently formed admixed populations, and to accurately differentiate between selection occurring in the ancestral or admixed population. We apply this method to genome-wide SNP data of ∼4,000 individuals in five admixed Latin American cohorts from Brazil, Chile, Colombia, Mexico, and Peru. Our approach replicates previous reports of selection in the human leukocyte antigen region that are consistent with selection post-admixture. We also report novel signals of selection in genomic regions spanning 47 genes, reinforcing many of these signals with an alternative, commonly used local-ancestry-inference approach. These signals include several genes involved in immunity, which may reflect responses to endemic pathogens of the Americas and to the challenge of infectious disease brought by European contact. In addition, some of the strongest signals inferred to be under selection in the Native American ancestral groups of modern Latin Americans overlap with genes implicated in energy metabolism phenotypes, plausibly reflecting adaptations to novel dietary sources available in the Americas.

Indexed as

Genetics, PopulationGenome, HumanGenomicsHispanic or LatinoHumansPolymorphism, Single NucleotideWhite PeopleadmixtureLatin AmericansNative Americansnatural selection

Identifiers

PMID35460423
PMCPMC9034689
OpenAlexW4225773457

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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.