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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Genome-Wide Association Scan on the Levels of Markers of Inflammation in Sardinians Reveals Associations That Underpin Its Complex Regulation
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|---|---|
| Published in |
PLoS Genetics, January 2012
|
| DOI | 10.1371/journal.pgen.1002480 |
| Pubmed ID | |
| Authors |
Silvia Naitza, Eleonora Porcu, Maristella Steri, Dennis D. Taub, Antonella Mulas, Xiang Xiao, James Strait, Mariano Dei, Sandra Lai, Fabio Busonero, Andrea Maschio, Gianluca Usala, Magdalena Zoledziewska, Carlo Sidore, Ilenia Zara, Maristella Pitzalis, Alessia Loi, Francesca Virdis, Roberta Piras, Francesca Deidda, Michael B. Whalen, Laura Crisponi, Antonio Concas, Carlo Podda, Sergio Uzzau, Paul Scheet, Dan L. Longo, Edward Lakatta, Gonçalo R. Abecasis, Antonio Cao, David Schlessinger, Manuela Uda, Serena Sanna, Francesco Cucca |
| Abstract |
Identifying the genes that influence levels of pro-inflammatory molecules can help to elucidate the mechanisms underlying this process. We first conducted a two-stage genome-wide association scan (GWAS) for the key inflammatory biomarkers Interleukin-6 (IL-6), the general measure of inflammation erythrocyte sedimentation rate (ESR), monocyte chemotactic protein-1 (MCP-1), and high-sensitivity C-reactive protein (hsCRP) in a large cohort of individuals from the founder population of Sardinia. By analysing 731,213 autosomal or X chromosome SNPs and an additional ∼1.9 million imputed variants in 4,694 individuals, we identified several SNPs associated with the selected quantitative trait loci (QTLs) and replicated all the top signals in an independent sample of 1,392 individuals from the same population. Next, to increase power to detect and resolve associations, we further genotyped the whole cohort (6,145 individuals) for 293,875 variants included on the ImmunoChip and MetaboChip custom arrays. Overall, our combined approach led to the identification of 9 genome-wide significant novel independent signals-5 of which were identified only with the custom arrays-and provided confirmatory evidence for an additional 7. Novel signals include: for IL-6, in the ABO gene (rs657152, p = 2.13×10(-29)); for ESR, at the HBB (rs4910472, p = 2.31×10(-11)) and UCN119B/SPPL3 (rs11829037, p = 8.91×10(-10)) loci; for MCP-1, near its receptor CCR2 (rs17141006, p = 7.53×10(-13)) and in CADM3 (rs3026968, p = 7.63×10(-13)); for hsCRP, within the CRP gene (rs3093077, p = 5.73×10(-21)), near DARC (rs3845624, p = 1.43×10(-10)), UNC119B/SPPL3 (rs11829037, p = 1.50×10(-14)), and ICOSLG/AIRE (rs113459440, p = 1.54×10(-08)) loci. Confirmatory evidence was found for IL-6 in the IL-6R gene (rs4129267); for ESR at CR1 (rs12567990) and TMEM57 (rs10903129); for MCP-1 at DARC (rs12075); and for hsCRP at CRP (rs1205), HNF1A (rs225918), and APOC-I (rs4420638). Our results improve the current knowledge of genetic variants underlying inflammation and provide novel clues for the understanding of the molecular mechanisms regulating this complex process. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Italy | 1 | <1% |
| Mexico | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 140 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 28% |
| Student > Ph. D. Student | 30 | 20% |
| Student > Master | 18 | 12% |
| Other | 8 | 5% |
| Professor | 7 | 5% |
| Other | 21 | 14% |
| Unknown | 23 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 30% |
| Biochemistry, Genetics and Molecular Biology | 28 | 19% |
| Medicine and Dentistry | 20 | 14% |
| Psychology | 8 | 5% |
| Computer Science | 6 | 4% |
| Other | 11 | 7% |
| Unknown | 30 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 October 2014.
All research outputs
#16,279,421
of 25,707,225 outputs
Outputs from PLoS Genetics
#6,791
of 8,997 outputs
Outputs of similar age
#164,337
of 253,691 outputs
Outputs of similar age from PLoS Genetics
#84
of 172 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.