Evidence map›Paper›PMID 34680976›Full record

ArticleGenes2021

Evaluating the Impact of Sex-Biased Genetic Admixture in the Americas through the Analysis of Haplotype Data.

Linda Ongaro, Ludovica Molinaro, Rodrigo Flores, Davide Marnetto, Marco R Capodiferro, Marta E Alarcón-Riquelme, Andrés Moreno-Estrada, Nedio Mabunda, Mario Ventura, Kristiina Tambets and 5 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Genomic ancestry,Haematologica · 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

15 authors at 8 institutions in 6 countries.

Linda OngaroEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia.
Ludovica MolinaroEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia.
Rodrigo FloresEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia.ORCID 0000-0002-0965-5973
Davide MarnettoEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia.
Marco R CapodiferroDepartment of Biology and Biotechnology "L. Spallanzani", University of Pavia, 27100 Pavia, Italy.
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), 18016 Granada, Spain.ORCID 0000-0002-7632-4154
Andrés Moreno-EstradaNational Laboratory of Genomics for Biodiversity (LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36821, Mexico.
Nedio MabundaInstituto Nacional de Saúde, Distrito de Marracuene, Estrada Nacional N°1, Província de Maputo, Maputo 1120, Mozambique.
Mario VenturaDepartment of Biology-Genetics, University of Bari, 70126 Bari, Italy.ORCID 0000-0001-7762-8777
Kristiina TambetsEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia.ORCID 0000-0002-8173-6380
Alessandro AchilliDepartment of Biology and Biotechnology "L. Spallanzani", University of Pavia, 27100 Pavia, Italy.ORCID 0000-0001-6871-3451
Cristian CapelliDepartment of Zoology, University of Oxford, Oxford OX1 3SZ, UK.
Mait MetspaluEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia.
Luca PaganiEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia.ORCID 0000-0002-6639-524X
Francesco MontinaroEstonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia.
Estonian Biocentre · EEUniversity of Pavia · ITCentro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional · MXInstituto Nacional de Saúde · MZPfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research · ESUniversity of Bari Aldo Moro · ITUniversity of Padua · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A general imbalance in the proportion of disembarked males and females in the Americas has been documented during the Trans-Atlantic Slave Trade and the Colonial Era and, although less prominent, more recently. This imbalance may have left a signature on the genomes of modern-day populations characterised by high levels of admixture. The analysis of the uniparental systems and the evaluation of continental proportion ratio of autosomal and X chromosomes revealed a general sex imbalance towards males for European and females for African and Indigenous American ancestries. However, the consistency and degree of this imbalance are variable, suggesting that other factors, such as cultural and social practices, may have played a role in shaping it. Moreover, very few investigations have evaluated the sex imbalance using haplotype data, containing more critical information than genotypes. Here, we analysed genome-wide data for more than 5000 admixed American individuals to assess the presence, direction and magnitude of sex-biased admixture in the Americas. For this purpose, we applied two haplotype-based approaches, ELAI and NNLS, and we compared them with a genotype-based method, ADMIXTURE. In doing so, besides a general agreement between methods, we unravelled that the post-colonial admixture dynamics show higher complexity than previously described.

Indexed as

Genetics, PopulationHuman MigrationAmericasBlack or African AmericanChromosomes, Human, XFemaleGenotypeHaplotypesHumansMaleMaternal InheritancePaternal InheritanceWhite PeopleadmixtureAmerican populationshaplotypeshuman migrationssex-biased imbalance

Identifiers

PMID34680976
PMCPMC8535939
OpenAlexW3203682328

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.