Evidence map›Paper›PMID 37488273›Full record

ArticleScientific reports2023

Microevolutionary processes analysis in the Lithuanian genome.

Laura Pranckėnienė, Alina Urnikytė, Vaidutis Kučinskas

Abstract read
In one paragraph

Article in Scientific reports, 2023. 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

3 authors.

Laura PranckėnienėDepartment of Human and Medical Genetics, Faculty of Medicine, Biomedical Science Institute, Vilnius University, Santariskiu Street 2, 08661, Vilnius, Lithuania. laura.pranckeniene@gmail.com.
Alina UrnikytėDepartment of Human and Medical Genetics, Faculty of Medicine, Biomedical Science Institute, Vilnius University, Santariskiu Street 2, 08661, Vilnius, Lithuania. alina.urnikyte@mf.vu.lt.
Vaidutis KučinskasDepartment of Human and Medical Genetics, Faculty of Medicine, Biomedical Science Institute, Vilnius University, Santariskiu Street 2, 08661, Vilnius, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differences in the relative fitness of genomic variants are foundational, without these, neither natural selection nor adaption can exist. This research analyzed two microevolutionary forces, mutations, and positive selection, using whole genome sequencing data from Lithuanians across three generations: newborns (generation I), their parents (generation II), 60 years old Lithuanians, and the root ancestors (generation III). The main objective was to determine the frequency of mutations under selection in modern humans and how allele frequencies change across generations. Our results show that going through all the landscapes of the relative fitness on each chromosome, the general relative fitness background pattern remains the same in analysed generations. However, the tendency of relative fitness to decrease, in general, is noted. We hypothesize that the de novo genome variants or genome variants with a very low frequency that formed in the previous generation did not have time to be as affected by natural selection, thus, in the following generation, the force of natural selection acting on them is greater and their cumulative relative fitness also decreases. The strong natural selection pressure on the genetic regions that encode the NEGR1 and PTPN1/PTNP21 genes were also identified, highlighting the evolution of the Lithuanian population's genome over generations, and possible genomic "deficiencies" for better adaptation.

Indexed as

GenomeSelection, GeneticGene FrequencyHumansInfant, NewbornLithuaniaMiddle AgedMutation

Identifiers

PMID37488273
PMCPMC10366082

What OpenQuestion holds

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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.