Worldwide variation of the COL14A1 gene is shaped by genetic drift rather than selective pressure.


Journal

Molecular genetics & genomic medicine
ISSN: 2324-9269
Titre abrégé: Mol Genet Genomic Med
Pays: United States
ID NLM: 101603758

Informations de publication

Date de publication:
04 2021
Historique:
revised: 30 07 2020
received: 03 06 2020
accepted: 10 02 2021
pubmed: 3 3 2021
medline: 15 12 2021
entrez: 2 3 2021
Statut: ppublish

Résumé

The aim of this study is to analyze the worldwide distribution of SNP rs4870723 in COL14A1 gene to check if there are significant genetic differences among different populations and to test if the gene is a trait under selection. Genomic DNA was extracted from 69 unrelated individuals from Sardinia and genotyped for SNP rs4870723. Data were compared with 26 different populations, clustered in 5 super-populations, from the public 1000 genomes database. Allele frequency and heterozygosity were calculated with Genepop. The Hardy-Weinberg equilibrium and pairwise population differentiation through analysis of molecular variance (AMOVA FST) were determined with Arlequin. Allele frequencies of COL14A1 rs4870723 were compared in 27 populations clustered in 5 super-populations. All populations were in the Hardy-Weinberg equilibrium. In almost all populations, allele C was the most frequent allele, reaching the highest values in East Asia. The 27 populations showed an appreciable structure, with significant differences observed between European, African, and Asian populations. Significant differences were observed in the rs4870723 SNP distribution among the populations studied. However, we found no evidence for a selective pressure. Rather, the differentiation among the populations is likely the result of founder effect, genetic drift, and cultural factors, all events known to establish and maintain genetic diversity between populations.

Sections du résumé

BACKGROUND
The aim of this study is to analyze the worldwide distribution of SNP rs4870723 in COL14A1 gene to check if there are significant genetic differences among different populations and to test if the gene is a trait under selection.
METHODS
Genomic DNA was extracted from 69 unrelated individuals from Sardinia and genotyped for SNP rs4870723. Data were compared with 26 different populations, clustered in 5 super-populations, from the public 1000 genomes database. Allele frequency and heterozygosity were calculated with Genepop. The Hardy-Weinberg equilibrium and pairwise population differentiation through analysis of molecular variance (AMOVA FST) were determined with Arlequin.
RESULTS
Allele frequencies of COL14A1 rs4870723 were compared in 27 populations clustered in 5 super-populations. All populations were in the Hardy-Weinberg equilibrium. In almost all populations, allele C was the most frequent allele, reaching the highest values in East Asia. The 27 populations showed an appreciable structure, with significant differences observed between European, African, and Asian populations.
CONCLUSION
Significant differences were observed in the rs4870723 SNP distribution among the populations studied. However, we found no evidence for a selective pressure. Rather, the differentiation among the populations is likely the result of founder effect, genetic drift, and cultural factors, all events known to establish and maintain genetic diversity between populations.

Identifiants

pubmed: 33650783
doi: 10.1002/mgg3.1629
pmc: PMC8123734
doi:

Substances chimiques

COL14A1 protein, human 0
Glycoproteins 0
Collagen 9007-34-5

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1629

Informations de copyright

© 2021 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.

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Auteurs

Carla M Calò (CM)

Department of Life and Environment Sciences, University of Cagliari, Cagliari, Italy.

Federico Onali (F)

Department of Life and Environment Sciences, University of Cagliari, Cagliari, Italy.

Renato Robledo (R)

Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy.

Laura Flore (L)

Department of Life and Environment Sciences, University of Cagliari, Cagliari, Italy.

Myosotis Massidda (M)

Department of Life and Environment Sciences, University of Cagliari, Cagliari, Italy.

Paolo Francalacci (P)

Department of Life and Environment Sciences, University of Cagliari, Cagliari, Italy.

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Classifications MeSH