Evidence map›Paper›PMID 38327511›Full record

ArticleEvolutionary bioinformatics online2024

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

Nasma Boumajdi, Houda Bendani, Souad Kartti, Tarek Alouane, Lahcen Belyamani, Azeddine Ibrahimi

Abstract read
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Article in Evolutionary bioinformatics online, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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.

Nasma BoumajdiLaboratory of Biotechnology, Medical and Pharmacy School, Mohammed V University, Rabat, Morocco.
Houda BendaniLaboratory of Biotechnology, Medical and Pharmacy School, Mohammed V University, Rabat, Morocco.
Souad KarttiLaboratory of Biotechnology, Medical and Pharmacy School, Mohammed V University, Rabat, Morocco.
Tarek AlouaneLaboratory of Biotechnology, Medical and Pharmacy School, Mohammed V University, Rabat, Morocco.
Lahcen BelyamaniMohammed VI Center for Research & Innovation (CM6), Rabat, Morocco.
Azeddine IbrahimiLaboratory of Biotechnology, Medical and Pharmacy School, Mohammed V University, Rabat, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

admixture analysisAfrican populationgenetic diversitymitochondrial haplogroupsWhole-genome sequencing

Identifiers

PMID38327511
PMCPMC10848790

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