ArticleScientific reports2019
Whole-Exome Sequencing in the Isolated Populations of Cilento from South Italy.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The Soifua Manuia reference panel with 2,570 Samoan haplotypes improves genotype imputation quality among Samoans.Communications biology · 2026Article
- Expanding CIRdb, a comprehensive catalog of whole-exome sequencing data of Canary Islanders.iScience · 2026Article
- Systems and Molecular Biology of Longevity and Preventive Medicine: Brain-Energy-Microbiome-Exposome Synergies in Blue Zones and the Cilento Case.International journal of molecular sciences · 2025Review
- The Impact of Recent Demography on Functional Genetic Variation in North African Human Groups.Molecular biology and evolution · 2024Article
- Developing CIRdb as a catalog of natural genetic variation in the Canary Islanders.Scientific reports · 2022Article
- Moment estimators of relatedness from low-depth whole-genome sequencing data.BMC bioinformatics · 2022Article
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Authors and funding
10 authors.
Funding
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Abstract
The present study describes the genetic architecture of the isolated populations of Cilento, through the analysis of exome sequence data of 245 representative individuals of these populations. By annotating the exome variants and cataloguing them according to their frequency and functional effects, we identified 347,684 variants, 67.4% of which are rare and low frequency variants, and 1% of them (corresponding to 319 variants per person) are classified as high functional impact variants; also, 39,946 (11.5% of the total) are novel variants, for which we determined a significant enrichment for deleterious effects. By comparing the allele frequencies in Cilento with those from the Tuscan population from the 1000 Genomes Project Phase 3, we highlighted an increase in allele frequency in Cilento especially for variants which map to genes involved in extracellular matrix formation and organization. Furthermore, among the variants showing increased frequency we identified several known rare disease-causing variants. By different population genetics analyses, we corroborated the status of the Cilento populations as genetic isolates. Finally, we showed that exome data of Cilento represents a useful local reference panel capable of improving the accuracy of genetic imputation, thus adding power to genetic studies of human traits in these populations.
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