Evidence map›Paper›PMID 34196708›Full record

ArticleHuman molecular genetics2021

Continental-scale genomic analysis suggests shared post-admixture adaptation in the Americas.

Linda Ongaro, Mayukh Mondal, Rodrigo Flores, Davide Marnetto, Ludovica Molinaro, Marta E Alarcón-Riquelme, Andrés Moreno-Estrada, Nedio Mabunda, Mario Ventura, Kristiina Tambets and 6 more

Abstract read
In one paragraph

Article in Human molecular genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Unveiling ancestral threads: Exploring CCR5 ∆32 mutation frequencies in Colombian populations for HIV/AIDS therapeutics.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2024
    Article
  2. Article
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  4. Review
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

16 authors.

Linda OngaroEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, Tartu 51010, Estonia.ORCID 0000-0003-1900-3394
Mayukh MondalEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, Tartu 51010, Estonia.
Rodrigo FloresEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, Tartu 51010, Estonia.
Davide MarnettoEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, Tartu 51010, Estonia.
Ludovica MolinaroEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, Tartu 51010, Estonia.
Marta E Alarcón-RiquelmeDepartment of Medical Genomics, GENYO. Centro Pfizer - Universidad de Granada - Junta de Andalucía de Genómica e Investigación Oncológica, Av de la Ilustración 114, Parque Tecnológico de la Salud (PTS), Granada 18016, Spain.
Andrés Moreno-EstradaNational Laboratory of Genomics for biodiversity (LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36821, Mexico.
Nedio MabundaInstituto Nacional de Saúde, Distrito de Marracuene, Estrada Nacional No. 1, Província de Maputo, Maputo 1120, Mozambique.
Mario VenturaDepartment of Biology-Genetics, University of Bari, Bari 70126, Italy.
Kristiina TambetsEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, Tartu 51010, Estonia.
Garrett HellenthalDepartment of Genetics, Evolution and Environment and UCL Genetics Institute, University College London, London WC1E 6BT, UK.ORCID 0000-0002-5760-8020
Cristian CapelliDepartment of Zoology, University of Oxford, 11a Mansfield Road, OX1 3SZ, Oxford, UK.
Toomas KivisildDepartment of Human Genetics, KU Leuven, Herestraat 49 - box 602, Leuven B-3000, Belgium.
Mait MetspaluEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, Tartu 51010, Estonia.
Luca PaganiEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, Tartu 51010, Estonia.
Francesco MontinaroEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, Tartu 51010, Estonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

American populations are one of the most interesting examples of recently admixed groups, where ancestral components from three major continental human groups (Africans, Eurasians and Native Americans) have admixed within the last 15 generations. Recently, several genetic surveys focusing on thousands of individuals shed light on the geography, chronology and relevance of these events. However, even though gene flow could drive adaptive evolution, it is unclear whether and how natural selection acted on the resulting genetic variation in the Americas. In this study, we analysed the patterns of local ancestry of genomic fragments in genome-wide data for ~ 6000 admixed individuals from 10 American countries. In doing so, we identified regions characterized by a divergent ancestry profile (DAP), in which a significant over or under ancestral representation is evident. Our results highlighted a series of genomic regions with DAPs associated with immune system response and relevant medical traits, with the longest DAP region encompassing the human leukocyte antigen locus. Furthermore, we found that DAP regions are enriched in genes linked to cancer-related traits and autoimmune diseases. Then, analysing the biological impact of these regions, we showed that natural selection could have acted preferentially towards variants located in coding and non-coding transcripts and characterized by a high deleteriousness score. Taken together, our analyses suggest that shared patterns of post admixture adaptation occurred at a continental scale in the Americas, affecting more often functional and impactful genomic variants.

Indexed as

Genetics, PopulationGenome, HumanGenomicsSelection, GeneticAmericasComputer SimulationHumansModels, GeneticPolymorphism, Single NucleotideRacial Groups

Identifiers

PMID34196708
PMCPMC8561420

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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.