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Connection

Yusuke Nakamura to Hepatitis C

This is a "connection" page, showing publications Yusuke Nakamura has written about Hepatitis C.
Connection Strength

0.559
  1. Identification of a functional variant in the MICA promoter which regulates MICA expression and increases HCV-related hepatocellular carcinoma risk. PLoS One. 2013; 8(4):e61279.
    View in: PubMed
    Score: 0.095
  2. A genome-wide association study of HCV-induced liver cirrhosis in the Japanese population identifies novel susceptibility loci at the MHC region. J Hepatol. 2013 May; 58(5):875-82.
    View in: PubMed
    Score: 0.093
  3. Amino acid substitution in HCV core/NS5A region and genetic variation near IL28B gene affect treatment efficacy to interferon plus ribavirin combination therapy. Intervirology. 2012; 55(3):231-41.
    View in: PubMed
    Score: 0.084
  4. IL28B but not ITPA polymorphism is predictive of response to pegylated interferon, ribavirin, and telaprevir triple therapy in patients with genotype 1 hepatitis C. J Infect Dis. 2011 Jul 01; 204(1):84-93.
    View in: PubMed
    Score: 0.084
  5. A single nucleotide polymorphism in activated Cdc42 associated tyrosine kinase 1 influences the interferon therapy in hepatitis C patients. J Hepatol. 2011 Apr; 54(4):629-39.
    View in: PubMed
    Score: 0.080
  6. ITPA polymorphism affects ribavirin-induced anemia and outcomes of therapy--a genome-wide study of Japanese HCV virus patients. Gastroenterology. 2010 Oct; 139(4):1190-7.
    View in: PubMed
    Score: 0.078
  7. Amino acid substitution in HCV core region and genetic variation near the IL28B gene affect viral dynamics during telaprevir, peginterferon and ribavirin treatment. Intervirology. 2012; 55(6):417-25.
    View in: PubMed
    Score: 0.022
  8. Whole-genome sequencing of liver cancers identifies etiological influences on mutation patterns and recurrent mutations in chromatin regulators. Nat Genet. 2012 May 27; 44(7):760-4.
    View in: PubMed
    Score: 0.022
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.