Evidence map›Paper›PMID 31235771›Full record

ArticleScientific reports2019

Patterns of genetic structure and adaptive positive selection in the Lithuanian population from high-density SNP data.

A Urnikyte, A Flores-Bello, M Mondal, A Molyte, D Comas, F Calafell, E Bosch, V Kučinskas

Abstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Quantifying direct genetic signal captured by principal component adjustment.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  3. Genetic Analysis ofBiomedicines · 2025
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  5. Identification ofFrontiers in immunology · 2025
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  16. The evolution of skin pigmentation-associated variation in West Eurasia.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Article
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

8 authors.

A UrnikyteDepartment of Human and Medical Genetics, Biomedical Science Institute, Faculty of Medicine, Vilnius University, Santariskiu Street 2, LT-08661, Vilnius, Lithuania.
A Flores-BelloInstitut de Biologia Evolutiva (UPF-CSIC), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain.ORCID http://orcid.org/0000-0002-9230-1331
M MondalInstitute of Genomics, University of Tartu, Riia 23b, Tartu, 51010 Tartu, Estonia.ORCID http://orcid.org/0000-0003-0122-0323
A MolyteDepartment of Human and Medical Genetics, Biomedical Science Institute, Faculty of Medicine, Vilnius University, Santariskiu Street 2, LT-08661, Vilnius, Lithuania.
D ComasInstitut de Biologia Evolutiva (UPF-CSIC), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain.ORCID http://orcid.org/0000-0002-5075-0956
F CalafellInstitut de Biologia Evolutiva (UPF-CSIC), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain.ORCID http://orcid.org/0000-0002-1083-9438
E BoschInstitut de Biologia Evolutiva (UPF-CSIC), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain. elena.bosch@upf.edu.ORCID http://orcid.org/0000-0003-2848-103X
V KučinskasDepartment of Human and Medical Genetics, Biomedical Science Institute, Faculty of Medicine, Vilnius University, Santariskiu Street 2, LT-08661, Vilnius, Lithuania. vaidutis.kucinskas@mf.vu.lt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of geographically specific regions and the characterization of fine-scale patterns of genetic diversity may facilitate a much better understanding of the microevolutionary processes affecting local human populations. Here we generated genome-wide high-density SNP genotype data in 425 individuals from six geographical regions in Lithuania and combined our dataset with available ancient and modern data to explore genetic population structure, ancestry components and signatures of natural positive selection in the Lithuanian population. Our results show that Lithuanians are a homogenous population, genetically differentiated from neighbouring populations but within the general expected European context. Moreover, we not only confirm that Lithuanians preserve one of the highest proportions of western, Scandinavian and eastern hunter-gather ancestry components found in European populations but also that of an steppe Early to Middle Bronze Age pastoralists, which together configure the genetic distinctiveness of the Lithuanian population. Finally, among the top signatures of positive selection detected in Lithuanians, we identified several candidate genes related with diet (PNLIP, PPARD), pigmentation (SLC24A5, TYRP1 and PPARD) and the immune response (BRD2, HLA-DOA, IL26 and IL22).

Indexed as

Genetics, PopulationPolymorphism, Single NucleotideSelection, GeneticAdaptation, PhysiologicalEvolution, MolecularHumansLithuania

Identifiers

PMID31235771
PMCPMC6591479

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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.