Evidence map›Paper›PMID 26553317›Full record

ArticleBMC genetics2015

Characterization of the biological processes shaping the genetic structure of the Italian population.

Silvia Parolo, Antonella Lisa, Davide Gentilini, Anna Maria Di Blasio, Simona Barlera, Enrico B Nicolis, Giorgio B Boncoraglio, Eugenio A Parati, Silvia Bione

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2015. 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
0.5field-weighted citation impact, top 35% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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, 14 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Silvia ParoloComputational Biology Unit, Institute of Molecular Genetics-National Research Council, Pavia, Italy. parolo@igm.cnr.it.
Antonella LisaComputational Biology Unit, Institute of Molecular Genetics-National Research Council, Pavia, Italy. lisa@igm.cnr.it.
Davide GentiliniMolecular Biology Laboratory, Istituto Auxologico Italiano, Milan, Italy. gentilini.davide@gmail.com.
Anna Maria Di BlasioMolecular Biology Laboratory, Istituto Auxologico Italiano, Milan, Italy. a.diblasio@auxologico.it.
Simona BarleraDepartment of Cardiovascular Research, IRCCS Mario Negri Institute for Pharmacological Research, Milan, Italy. simona.barlera@marionegri.it.
Enrico B NicolisDepartment of Cardiovascular Research, IRCCS Mario Negri Institute for Pharmacological Research, Milan, Italy. enrico.nicolis@marionegri.it.
Giorgio B BoncoraglioDepartment of Cerebrovascular Diseases, IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. giorgio.boncoraglio@istituto-besta.it.
Eugenio A ParatiDepartment of Cerebrovascular Diseases, IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. eugenio.parati@istituto-besta.it.
Silvia BioneComputational Biology Unit, Institute of Molecular Genetics-National Research Council, Pavia, Italy. bione@igm.cnr.it.
National Research Council · ITFondazione IRCCS Istituto Neurologico Carlo Besta · ITIRCCS Istituto Auxologico Italiano · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITMario Negri Institute for Pharmacological Research · IT

Funding

Wellcome TrustWellcome Trust 076,113Wellcome Trust 085,475
6 · The paper itself

Abstract

backgroundThe genetic structure of human populations is the outcome of the combined action of different processes such as demographic dynamics and natural selection. Several efforts toward the characterization of population genetic architectures and the identification of adaptation signatures were recently made. In this study, we provide a genome-wide depiction of the Italian population structure and the analysis of the major determinants of the current existing genetic variation.

resultsWe defined and characterized 210 genomic loci associated with the first Principal Component calculated on the Italian genotypic data and correlated to the North-south genetic gradient. Using a gene-enrichment approach we identified the immune function as primarily involved in the Italian population differentiation and we described a locus on chromosome 13 showing combined evidence of North-south diversification in allele frequencies and signs of recent positive selection. In this region our bioinformatics analysis pinpointed an uncharacterized long intergenic non-coding (lincRNA), whose expression appeared specific for immune-related tissues suggesting its relevance for the immune function.

conclusionsOur study, combining population genetic analyses with biological insights provides a description of the Italian genetic structure that in future could contribute to the evaluation of complex diseases risk in the population context.

Indexed as

Biological PhenomenaGenetics, PopulationChromosomes, Human, Pair 13Gene OntologyGenetic LociGenome, HumanHumansItalyPrincipal Component AnalysisSelection, Genetic

Identifiers

PMID26553317
PMCPMC4640365
OpenAlexW2139060019

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.