Gene-gene and gene-environment interactions in interferon therapy for chronic hepatitis C.

Introduction: In studies of pharmacogenomics, it is essential to address gene-gene and gene-environment interactions to describe complex traits involving pharmacokinetic and pharmacodynamic mechanisms. In this work, our goal is to detect gene-gene and gene-environment interactions resulting from an analysis of chronic hepatitis C patients' clinical factors including SNPs, viral genotype, viral load, age and gender.

Materials & Methods: We collected blood samples from 523 chronic hepatitis C patients who had received interferon and ribavirin combination therapy.

Vita Genomics, Inc.

Vita Genomics, Inc., centered in Taiwan and China, aims to be a premier genomics-based biotechnological and biopharmaceutical company in the Asia-Pacific region. The company focuses on conducting pharmacogenomics research, in vitro diagnosis product development and specialty contract research services in both genomics and pharmacogenomics fields.

Pattern-recognition techniques with haplotype analysis in pharmacogenomics.

Single nucleotide polymorphisms (SNPs) can be used in clinical association studies to determine the contribution of genes to drug efficacy. However, it would be extremely inefficient to test all the 10 million common SNPs for an association study. Here we review haplotype analysis and pattern-recognition techniques to systematically select candidate SNPs for candidate-gene association studies in pharmacogenomics.

An artificial neural network approach to the drug efficacy of interferon treatments.

Introduction: Interferon taken alone or in combination with ribavirin can be used for the treatment of persons with chronic hepatitis C. It is highly desirable, both clinically and economically, to establish tools to distinguish responders from nonresponders and to predict possible outcomes of the treatments. In this work, our goal is to develop a prediction model resulting from the analysis of chronic hepatitis C patients' single nucleotide polymorphisms, viral genotype, viral load, age and gender, to predict the responsiveness of interferon combination treatment.

Genetic structural differences between responders and non-responders to interferon therapy for chronic hepatitis-B patients.

Interferon-alpha therapy has become a main stay of treatment for hepatitis-B patients. The sustained remission rates are around 30%, and the factors determining response are poorly defined. Our study aimed to search for the genetic differences between responder and non-responder patients.

An algorithm for model construction and its applications to pharmacogenomic studies.

A model depicts the relationship between clinical phenotypes and genotypes on a set of genetic polymorphisms. After the model is constructed and validated, it may be used to predict clinical phenotypes such as traits of complex diseases. A pharmacogenomic model is used to predict the efficacies or adverse drug reactions of a medication.

Analysis of epistasis for diabetic nephropathy among type 2 diabetic patients.

Diabetic nephropathy (DN) is one of the most serious complications of diabetes, accounting for the majority of patients with end-stage renal disease. The molecular pathogenesis of DN involves multiple pathways in a complex, partially resolved manner. The paper presents an exploratory epistatic study for DN.

Genetic predisposition of responsiveness to therapy for chronic hepatitis C.

Background: A combination of interferon-alpha (IFN-alpha) and ribavirin has been the choice for treating chronic hepatitis C (CHC) patients. It achieves an overall sustained response rate of approximately 50%; however, the treatment takes 6-12 months and often brings significant adverse reactions to some patients. It would therefore be beneficial to include a pretreatment evaluation in order to maximize the efficacy.

The DNA sequence of the human X chromosome.

The human X chromosome has a unique biology that was shaped by its evolution as the sex chromosome shared by males and females. We have determined 99.3% of the euchromatic sequence of the X chromosome.