Evidence map›Paper›PMID 30858532›Full record

ArticleScientific reports2019

Whole-Exome Sequencing in the Isolated Populations of Cilento from South Italy.

T Nutile, D Ruggiero, A F Herzig, A Tirozzi, S Nappo, R Sorice, F Marangio, C Bellenguez, A L Leutenegger, M Ciullo

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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

10 authors.

T NutileInstitute of Genetics and Biophysics A. Buzzati-Traverso-CNR, Naples, Italy.ORCID 0000-0001-7062-8352
D RuggieroInstitute of Genetics and Biophysics A. Buzzati-Traverso-CNR, Naples, Italy.ORCID 0000-0003-3898-7827
A F HerzigInserm, UMR 946, Genetic variation and Human diseases, F-75010, Paris, France.ORCID 0000-0001-9392-9924
A TirozziIRCCS Neuromed, Pozzilli, Isernia, Italy.
S NappoAORN Santobono-Pausilipon Hospital, Naples, Italy.
R SoriceInstitute of Genetics and Biophysics A. Buzzati-Traverso-CNR, Naples, Italy.
F MarangioInstitute of Genetics and Biophysics A. Buzzati-Traverso-CNR, Naples, Italy.
C BellenguezInserm, U1167, RID-AGE-Risk factors and molecular determinants of aging-related diseases, F-59000, Lille, France.ORCID 0000-0002-1240-7874
A L LeuteneggerInserm, UMR 946, Genetic variation and Human diseases, F-75010, Paris, France.ORCID 0000-0002-1302-4357
M CiulloInstitute of Genetics and Biophysics A. Buzzati-Traverso-CNR, Naples, Italy. marina.ciullo@igb.cnr.it.ORCID 0000-0002-9621-9984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Exome SequencingGenetics, PopulationExomeFemaleGene FrequencyGenome, HumanGenotypeHuman Genome ProjectHumansItalyMalePolymorphism, Single Nucleotide

Identifiers

PMID30858532
PMCPMC6411969

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