Title |
IL28B, HLA-C, and KIR Variants Additively Predict Response to Therapy in Chronic Hepatitis C Virus Infection in a European Cohort: A Cross-Sectional Study
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Published in |
PLOS Medicine, September 2011
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DOI | 10.1371/journal.pmed.1001092 |
Pubmed ID | |
Authors |
Vijayaprakash Suppiah, Silvana Gaudieri, Nicola J. Armstrong, Kate S. O'Connor, Thomas Berg, Martin Weltman, Maria Lorena Abate, Ulrich Spengler, Margaret Bassendine, Gregory J. Dore, William L. Irving, Elizabeth Powell, Margaret Hellard, Stephen Riordan, Gail Matthews, David Sheridan, Jacob Nattermann, Antonina Smedile, Tobias Müller, Emma Hammond, David Dunn, Francesco Negro, Pierre-Yves Bochud, Simon Mallal, Golo Ahlenstiel, Graeme J. Stewart, Jacob George, David R. Booth |
Abstract |
To date, drug response genes have not proved as useful in clinical practice as was anticipated at the start of the genomic era. An exception is in the treatment of chronic hepatitis C virus (HCV) genotype 1 infection with pegylated interferon-alpha and ribavirin (PegIFN/R). Viral clearance is achieved in 40%-50% of patients. Interleukin 28B (IL28B) genotype predicts treatment-induced and spontaneous clearance. To improve the predictive value of this genotype, we studied the combined effect of variants of IL28B with human leukocyte antigen C (HLA-C), and its ligands the killer immunoglobulin-like receptors (KIR), which have previously been implicated in HCV viral control. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 13% |
South Africa | 1 | 13% |
United States | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Practitioners (doctors, other healthcare professionals) | 2 | 25% |
Scientists | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 1% |
France | 1 | 1% |
Canada | 1 | 1% |
Argentina | 1 | 1% |
Japan | 1 | 1% |
Unknown | 91 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 24% |
Student > Ph. D. Student | 16 | 17% |
Professor > Associate Professor | 12 | 13% |
Student > Master | 10 | 10% |
Student > Bachelor | 6 | 6% |
Other | 14 | 15% |
Unknown | 15 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 31 | 32% |
Medicine and Dentistry | 24 | 25% |
Immunology and Microbiology | 9 | 9% |
Biochemistry, Genetics and Molecular Biology | 5 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
Other | 6 | 6% |
Unknown | 19 | 20% |