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1.
Sci Rep ; 14(1): 4654, 2024 02 26.
Artigo em Inglês | MEDLINE | ID: mdl-38409353

RESUMO

Admixture mapping has been useful in identifying genetic variations linked to phenotypes, adaptation and diseases. Copy number variations (CNVs) represents genomic structural variants spanning large regions of chromosomes reaching several megabases. In this investigation, the "Canary" algorithm was applied to 102 Tunisian samples and 991 individuals from eleven HapMap III populations to genotype 1279 copy number polymorphisms (CNPs). In this present work, we investigate the Tunisian population structure using the CNP makers previously identified among Tunisian. The study revealed that Sub-Saharan African populations exhibited the highest diversity with the highest proportions of allelic CNPs. Among all the African populations, Tunisia showed the least diversity. Individual ancestry proportions computed using STRUCTURE analysis revealed a major European component among Tunisians with lesser contribution from Sub-Saharan Africa and Asia. Population structure analysis indicated the genetic proximity with Europeans and noticeable distance from the Sub-Saharan African and East Asian clusters. Seven genes harbouring Tunisian high-frequent CNPs were identified known to be associated with 9 Mendelian diseases and/or phenotypes. Functional annotation of genes under selection highlighted a noteworthy enrichment of biological processes to receptor pathway and activity as well as glutathione metabolism. Additionally, pathways of potential concern for health such as drug metabolism, infectious diseases and cancers exhibited significant enrichment. The distinctive genetic makeup of the Tunisians might have been influenced by various factors including natural selection and genetic drift, resulting in the development of distinct genetic variations playing roles in specific biological processes. Our research provides a justification for focusing on the exclusive genome organization of this population and uncovers previously overlooked elements of the genome.


Assuntos
Variações do Número de Cópias de DNA , Genoma , População do Norte da África , Humanos , Projeto HapMap , Genótipo , Genética Populacional , Polimorfismo de Nucleotídeo Único
2.
Annu Rev Genomics Hum Genet ; 20: 155-179, 2019 08 31.
Artigo em Inglês | MEDLINE | ID: mdl-31039041

RESUMO

North Africa is defined as the geographical region separated from the rest of the continent by the Sahara and from Europe by the Mediterranean Sea. The main demographic features of North African populations are their familial structure and high rates of familial and geographic endogamy, which have a proven impact on health, particularly the occurrence of genetic diseases, with a greater effect on the frequency and spectrum of the rarest forms of autosomal recessive genetic diseases. More than 500 different genetic diseases have been reported in this region, most of which are autosomal recessive. During the last few decades, there has been great interest in the molecular investigation of large consanguineous North African families. The development of local capacities has brought a substantial improvement in the molecular characterization of these diseases, but the genetic bases of half of them remain unknown. Diseases of known molecular etiology are characterized by their genetic and mutational heterogeneity, although some founder mutations are encountered relatively frequently. Some founder mutations are specific to a single country or a specific ethnic or geographic group, and others are shared by all North African countries or worldwide. The impact of consanguinity on common multifactorial diseases is less evident.


Assuntos
Doenças Transmissíveis/genética , Consanguinidade , Doenças Genéticas Inatas/genética , Neoplasias/genética , Doenças Neurodegenerativas/genética , África do Norte/epidemiologia , Doenças Transmissíveis/complicações , Doenças Transmissíveis/etnologia , Doenças Transmissíveis/patologia , Etnicidade , Feminino , Efeito Fundador , Genes Recessivos , Doenças Genéticas Inatas/complicações , Doenças Genéticas Inatas/etnologia , Doenças Genéticas Inatas/patologia , Heterogeneidade Genética , Humanos , Masculino , Mutação , Neoplasias/complicações , Neoplasias/etnologia , Neoplasias/patologia , Doenças Neurodegenerativas/complicações , Doenças Neurodegenerativas/etnologia , Doenças Neurodegenerativas/patologia , Índice de Gravidade de Doença
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