| Title |
Identification of improved IL28B SNPs and haplotypes for prediction of drug response in treatment of hepatitis C using massively parallel sequencing in a cross-sectional European cohort
|
|---|---|
| Published in |
Genome Medicine, August 2011
|
| DOI | 10.1186/gm273 |
| Pubmed ID | |
| Authors |
Katherine R Smith, Vijayaprakash Suppiah, Kate O'Connor, Thomas Berg, Martin Weltman, Maria Lorena Abate, Ulrich Spengler, Margaret Bassendine, Gail Matthews, William L Irving, Elizabeth Powell, Stephen Riordan, Golo Ahlenstiel, Graeme J Stewart, Melanie Bahlo, Jacob George, David R Booth, the International Hepatitis C Genetics Consortium (IHCGC) |
| Abstract |
The hepatitis C virus (HCV) infects nearly 3% of the World's population, causing severe liver disease in many. Standard of care therapy is currently pegylated interferon alpha and ribavirin (PegIFN/R), which is effective in less than half of those infected with the most common viral genotype. Two IL28B single nucleotide polymorphisms (SNPs), rs8099917 and rs12979860, predict response to (PegIFN/R) therapy in treatment of HCV infection. These SNPs were identified in genome wide analyses using Illumina genotyping chips. In people of European ancestry, there are 6 common (more than 1%) haplotypes for IL28B, one tagged by the rs8099917 minor allele, four tagged by rs12979860. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Italy | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 43 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 20% |
| Professor > Associate Professor | 6 | 13% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Master | 5 | 11% |
| Other | 3 | 7% |
| Other | 11 | 24% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 33% |
| Agricultural and Biological Sciences | 14 | 30% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Immunology and Microbiology | 2 | 4% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 6 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 April 2013.
All research outputs
#7,960,693
of 25,374,917 outputs
Outputs from Genome Medicine
#1,216
of 1,585 outputs
Outputs of similar age
#44,036
of 135,934 outputs
Outputs of similar age from Genome Medicine
#10
of 15 outputs
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