Methods for analysis in pharmacogenomics: Lessons from the Pharmacogenetics Research Network Analysis group

Balaji S. Srinivasan, Jinbo Chen, Cheng Cheng, David Conti, Shiwei Duan, Brooke L. Fridley, Xiangjun Gu, Jonathan L. Haines, Eric Jorgenson, Aldi Kraja, Jessica Lasky-Su, Lang Li, Andrei Rodin, Dai Wang, Mike Province, Marylyn D. Ritchie

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Each year, the Pharmacogenetics Research Network (PGRN) holds an analysis workshop for the members of the PGRN to share new methodologies, study design approaches and to discuss real data applications. This event is closed to members of the PGRN, but the methods presented are relevant to others conducting pharmacogenomics research. This special report describes many of the novel approaches discussed at the workshop and provides a resource for investigators in the field performing pharmacogenomics data analysis. While the focus is pharmacogenomics, the methods discussed are far ranging and have relevance to all types of genetic association studies: identifying noncoding variants and tag-SNPs, haplotype analysis, multivariate techniques, quantitative trait analysis, gene-gene and gene-environment interactions, and genome-wide association studies. The goal is to introduce readers to the topics discussed at the workshop and provide a direction for future development of analysis tools and methods for analysis of pharmacogenomic data.

Original languageEnglish (US)
Pages (from-to)243-251
Number of pages9
JournalPharmacogenomics
Volume10
Issue number2
DOIs
StatePublished - 2009

Keywords

  • Gene-environment interactions
  • Gene-gene interactions
  • Genetic determinants
  • Haplotype analysis
  • Pharmacogenomics
  • QTL analysis
  • Tag SNPs
  • Whole-genome association

ASJC Scopus subject areas

  • Pharmacology
  • Genetics
  • Molecular Medicine

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