Evidence map›Paper›PMID 31127131›Full record

ArticleScientific reports2019

Spatially explicit analysis reveals complex human genetic gradients in the Iberian Peninsula.

João Pimenta, Alexandra M Lopes, Angel Carracedo, Miguel Arenas, António Amorim, David Comas

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  4. Differences inPharmaceuticals (Basel, Switzerland) · 2025
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  6. Observational
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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

6 authors at 3 institutions in 2 countries.

João PimentaInstituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Alexandra M LopesInstituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Angel CarracedoInstituto de Ciencias Forenses, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Miguel ArenasInstituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.ORCID http://orcid.org/0000-0002-0516-2717
António AmorimInstituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.ORCID http://orcid.org/0000-0002-7518-6247
David ComasInstitute of Evolutionary Biology (CSIC-UPF). Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain. david.comas@upf.edu.ORCID http://orcid.org/0000-0002-5075-0956
Universidade do Porto · PTUniversitat Pompeu Fabra · ESUniversidade de Santiago de Compostela · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Iberian Peninsula is a well-delimited geographic region with a rich and complex human history. However, the causes of its genetic structure and past migratory dynamics are not yet fully understood. In order to shed light on them, here we evaluated the gene flow and genetic structure throughout the Iberian Peninsula with spatially explicit modelling applied to a georeferenced genetic dataset composed of genome-wide SNPs from 746 individuals belonging to 17 different regions of the Peninsula. We found contrasting patterns of genetic structure throughout Iberia. In particular, we identified strong patterns of genetic differentiation caused by relevant barriers to gene flow in northern regions and, on the other hand, a large genetic similarity in central and southern regions. In addition, our results showed a preferential north to south migratory dynamics and suggest a sex-biased dispersal in Mediterranean and southern regions. The estimated genetic patterns did not fit with the geographical relief of the Iberian landscape and they rather seem to follow political and linguistic territorial boundaries.

Indexed as

Gene FlowHuman MigrationModels, GeneticSpatial AnalysisAfrica, NorthernAfrica South of the SaharaChromosomes, Human, XDatasets as TopicEuropeFemaleGenome-Wide Association StudyGeographyHumansMalePolymorphism, Single NucleotidePrincipal Component Analysis

Identifiers

PMID31127131
PMCPMC6534591
OpenAlexW2946821235

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.