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A Comprehensive Analysis of 3 Moroccan Genomes Revealed Contributions From Both African and European Ancestries.

Authors :
Boumajdi N
Bendani H
Kartti S
Alouane T
Belyamani L
Ibrahimi A
Source :
Evolutionary bioinformatics online [Evol Bioinform Online] 2024 Feb 06; Vol. 20, pp. 11769343241229278. Date of Electronic Publication: 2024 Feb 06 (Print Publication: 2024).
Publication Year :
2024

Abstract

Genetic variations in the human genome represent the differences in DNA sequence within individuals. This highlights the important role of whole human genome sequencing which has become the keystone for precision medicine and disease prediction. Morocco is an important hub for studying human population migration and mixing history. This study presents the analysis of 3 Moroccan genomes; the variant analysis revealed 6 379 606 single nucleotide variants (SNVs) and 1 050 577 small InDels. Of those identified SNVs, 219 152 were novel, with 1233 occurring in coding regions, and 5580 non-synonymous single nucleotide variants (nsSNP) variants were predicted to affect protein functions. The InDels produced 1055 coding variants and 454 non-3n length variants, and their size ranged from -49 and 49 bp. We further analysed the gene pathways of 8 novel coding variants found in the 3 genomes and revealed 5 genes involved in various diseases and biological pathways. We found that the Moroccan genomes share 92.78% of African ancestry, and 92.86% of Non-Finnish European ancestry, according to the gnomAD database. Then, population structure inference, by admixture analysis and network-based approach, revealed that the studied genomes form a mixed population structure, highlighting the increased genetic diversity in Morocco.<br />Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.<br /> (© The Author(s) 2024.)

Details

Language :
English
ISSN :
1176-9343
Volume :
20
Database :
MEDLINE
Journal :
Evolutionary bioinformatics online
Publication Type :
Academic Journal
Accession number :
38327511
Full Text :
https://doi.org/10.1177/11769343241229278