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Improving the Estimation of Celiac Disease Sibling Risk by Non-HLA Genes

Overview of attention for article published in PLOS ONE, November 2011
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Improving the Estimation of Celiac Disease Sibling Risk by Non-HLA Genes
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0026920
Pubmed ID
Authors

Valentina Izzo, Michele Pinelli, Nadia Tinto, Maria Valeria Esposito, Arturo Cola, Maria Pia Sperandeo, Francesca Tucci, Sergio Cocozza, Luigi Greco, Lucia Sacchetti

Abstract

Celiac Disease (CD) is a polygenic trait, and HLA genes explain less than half of the genetic variation. Through large GWAs more than 40 associated non-HLA genes were identified, but they give a small contribution to the heritability of the disease. The aim of this study is to improve the estimate of the CD risk in siblings, by adding to HLA a small set of non-HLA genes. One-hundred fifty-seven Italian families with a confirmed CD case and at least one other sib and both parents were recruited. Among 249 sibs, 29 developed CD in a 6 year follow-up period. All individuals were typed for HLA and 10 SNPs in non-HLA genes: CCR1/CCR3 (rs6441961), IL12A/SCHIP1 and IL12A (rs17810546 and rs9811792), TAGAP (rs1738074), RGS1 (rs2816316), LPP (rs1464510), OLIG3 (rs2327832), REL (rs842647), IL2/IL21 (rs6822844), SH2B3 (rs3184504). Three associated SNPs (in LPP, REL, and RGS1 genes) were identified through the Transmission Disequilibrium Test and a Bayesian approach was used to assign a score (BS) to each detected HLA+SNPs genotype combination. We then classified CD sibs as at low or at high risk if their BS was respectively < or ≥ median BS value within each HLA risk group. A larger number (72%) of CD sibs showed a BS ≥ the median value and had a more than two fold higher OR than CD sibs with a BS value < the median (O.R = 2.53, p = 0.047). Our HLA+SNPs genotype classification, showed both a higher predictive negative value (95% vs 91%) and diagnostic sensitivity (79% vs 45%) than the HLA only. In conclusion, the estimate of the CD risk by HLA+SNPs approach, even if not applicable to prevention, could be a precious tool to improve the prediction of the disease in a cohort of first degree relatives, particularly in the low HLA risk groups.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Russia 1 2%
Italy 1 2%
Belgium 1 2%
Unknown 49 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 34%
Student > Ph. D. Student 7 13%
Student > Master 7 13%
Other 5 9%
Student > Bachelor 5 9%
Other 7 13%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 28%
Medicine and Dentistry 11 21%
Biochemistry, Genetics and Molecular Biology 8 15%
Chemistry 2 4%
Immunology and Microbiology 2 4%
Other 7 13%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 March 2023.
All research outputs
#5,174,227
of 25,436,226 outputs
Outputs from PLOS ONE
#85,082
of 221,592 outputs
Outputs of similar age
#29,297
of 154,672 outputs
Outputs of similar age from PLOS ONE
#616
of 2,699 outputs
Altmetric has tracked 25,436,226 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 221,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has gotten more attention than average, scoring higher than 61% 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 154,672 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 81% of its contemporaries.
We're also able to compare this research output to 2,699 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.