Genetic predictors of response to treatment of chronic hepatitis C virus infection in patients from southern Italy
Submitted: 6 November 2013
Accepted: 11 January 2014
Published: 27 February 2014
Accepted: 11 January 2014
Abstract Views: 1909
PDF: 1367
HTML: 586
HTML: 586
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Internal Medicine and Hepatology Unit, Salerno University of Medicine, Salerno, Italy.
Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, CEINGE - Advanced Biotechnologies, Naples, Italy.
Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, CEINGE - Advanced Biotechnologies, Naples, Italy.
Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, CEINGE - Advanced Biotechnologies, Naples, Italy.
Internal Medicine Department, Second University of Naples, Italy.
Internal Medicine Department, Liver Diseases Centre - Fatebenefratelli Hospital, Naples, Italy.
Gastroenterology and Endoscopy Department, Second University of Naples, Naples, Italy.
Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, CEINGE - Advanced Biotechnologies, Naples, Italy.
Internal Medicine and Hepatology Unit, Salerno University of Medicine, Salerno, Italy.
Downloads
Download data is not yet available.
PlumX Metrics
PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.
Supporting Agencies
none
Mario Masarone, Internal Medicine and Hepatology Unit, Salerno University of Medicine, Salerno
MD
Roberta Russo, Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, CEINGE - Advanced Biotechnologies, Naples
MD
Antonella Gambale, Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, CEINGE - Advanced Biotechnologies, Naples
MD
Concetta Langella, Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, CEINGE - Advanced Biotechnologies, Naples
MD
Luca Fontanella, Internal Medicine Department, Liver Diseases Centre - Fatebenefratelli Hospital, Naples
MD
Marco Romano, Gastroenterology and Endoscopy Department, Second University of Naples, Naples
MD
Achille Iolascon, Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, CEINGE - Advanced Biotechnologies, Naples
MD
Marcello Persico, Internal Medicine and Hepatology Unit, Salerno University of Medicine, Salerno
MD
How to Cite
Masarone, M., Russo, R., Gambale, A., Langella, C., Sasso, F. C., Fontanella, L., Romano, M., Iolascon, A., & Persico, M. (2014). Genetic predictors of response to treatment of chronic hepatitis C virus infection in patients from southern Italy. Italian Journal of Medicine, 9(1), 61–70. https://doi.org/10.4081/itjm.2014.443
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.