Evidence map›Paper›PMID 39634275›Full record

ArticleFrontiers in genetics2024

Populations of Latvia and Lithuania in the context of some Indo-European and non-Indo-European speaking populations of Europe and India: insights from genetic structure analysis.

Gintė Daniūtė, Laura Pranckėnienė, Jurgis Pakerys, Jānis Kloviņš, Vaidutis Kučinskas, Alina Urnikytė

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Article in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Gintė DaniūtėDepartment of Human and Medical Genetics, Biomedical Science Institute, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Laura PranckėnienėFaculty of Medicine Population Genomics Laboratory, Translational health research Institute, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Jurgis PakerysDepartment of Baltic Studies, Institute for the Languages and Cultures of the Baltic, Vilnius University, Vilnius, Lithuania.
Jānis KloviņšLatvian Biomedical Research and Study Centre, Riga, Latvia.
Vaidutis KučinskasFaculty of Medicine Population Genomics Laboratory, Translational health research Institute, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Alina UrnikytėFaculty of Medicine Population Genomics Laboratory, Translational health research Institute, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the relationship among Lithuanian, Latvian, Indian, and some other populations through a genome-wide data analysis of single nucleotide polymorphisms (SNPs). Limited data of Baltic populations were mostly compared with geographically closer modern and ancient populations in the past, but no previous investigation has explored their genetic relationships with distant populations, like the ones of India, in detail. To address this, we collected and merged genome-wide SNP data from diverse publicly available sources to create a comprehensive dataset with a substantial sample size especially from Lithuanians and Latvians. Principal component analysis (PCA) and admixture analysis methods were employed to assess the genetic structure and relationship among the populations under investigation. Additionally, we estimated an effective population size (

Indexed as

geneticsIndian populationLatvian populationLithuanian populationpopulation structure

Identifiers

PMID39634275
PMCPMC11614816

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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.