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

Overview of attention for article published in BMC Genomic Data, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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1 blog
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6 X users
wikipedia
6 Wikipedia pages

Citations

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10 Dimensions

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25 Mendeley
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1 CiteULike
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Title
Characterization of the biological processes shaping the genetic structure of the Italian population
Published in
BMC Genomic Data, November 2015
DOI 10.1186/s12863-015-0293-x
Pubmed ID
Authors

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

Abstract

The 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. We 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. Our 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Student > Bachelor 5 20%
Other 2 8%
Student > Master 2 8%
Student > Postgraduate 2 8%
Other 3 12%
Unknown 5 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 28%
Agricultural and Biological Sciences 7 28%
Medicine and Dentistry 2 8%
Arts and Humanities 1 4%
Computer Science 1 4%
Other 1 4%
Unknown 6 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 January 2024.
All research outputs
#2,443,505
of 25,639,676 outputs
Outputs from BMC Genomic Data
#63
of 1,210 outputs
Outputs of similar age
#33,745
of 298,076 outputs
Outputs of similar age from BMC Genomic Data
#1
of 29 outputs
Altmetric has tracked 25,639,676 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,210 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,076 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.