Evidence map›Paper›PMID 32028992›Full record

ArticleGenome biology2020

Admixture-enabled selection for rapid adaptive evolution in the Americas.

Emily T Norris, Lavanya Rishishwar, Aroon T Chande, Andrew B Conley, Kaixiong Ye, Augusto Valderrama-Aguirre, I King Jordan

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Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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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

7 authors.

Emily T NorrisSchool of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, GA, 30332, USA.
Lavanya RishishwarSchool of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, GA, 30332, USA.
Aroon T ChandeSchool of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, GA, 30332, USA.
Andrew B ConleyIHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, USA.
Kaixiong YeDepartment of Genetics, University of Georgia, Athens, GA, USA.
Augusto Valderrama-AguirrePanAmerican Bioinformatics Institute, Cali, Valle del Cauca, Colombia.
I King JordanSchool of Biological Sciences, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, GA, 30332, USA. king.jordan@biology.gatech.edu.ORCID 0000-0003-4996-2203

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdmixture occurs when previously isolated populations come together and exchange genetic material. We hypothesize that admixture can enable rapid adaptive evolution in human populations by introducing novel genetic variants (haplotypes) at intermediate frequencies, and we test this hypothesis through the analysis of whole genome sequences sampled from admixed Latin American populations in Colombia, Mexico, Peru, and Puerto Rico.

resultsOur screen for admixture-enabled selection relies on the identification of loci that contain more or less ancestry from a given source population than would be expected given the genome-wide ancestry frequencies. We employ a combined evidence approach to evaluate levels of ancestry enrichment at single loci across multiple populations and multiple loci that function together to encode polygenic traits. We find cross-population signals of African ancestry enrichment at the major histocompatibility locus on chromosome 6, consistent with admixture-enabled selection for enhanced adaptive immune response. Several of the human leukocyte antigen genes at this locus, such as HLA-A, HLA-DRB51, and HLA-DRB5, show independent evidence of positive selection prior to admixture, based on extended haplotype homozygosity in African populations. A number of traits related to inflammation, blood metabolites, and both the innate and adaptive immune system show evidence of admixture-enabled polygenic selection in Latin American populations.

conclusionsThe results reported here, considered together with the ubiquity of admixture in human evolution, suggest that admixture serves as a fundamental mechanism that drives rapid adaptive evolution in human populations.

Indexed as

Evolution, MolecularGenome, HumanSelection, GeneticAdaptation, PhysiologicalHistocompatibility Antigens Class IHumansMultifactorial InheritancePolymorphism, GeneticSouth AmericaHistocompatibility Antigens Class IAdmixtureGenetic ancestryPolygenic traitsPopulation genomicsPositive selectionRapid adaptive evolution

Identifiers

PMID32028992
PMCPMC7006128

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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.