TY - JOUR
T1 - Methods for analysis in pharmacogenomics
T2 - Lessons from the Pharmacogenetics Research Network Analysis group
AU - Srinivasan, Balaji S.
AU - Chen, Jinbo
AU - Cheng, Cheng
AU - Conti, David
AU - Duan, Shiwei
AU - Fridley, Brooke L.
AU - Gu, Xiangjun
AU - Haines, Jonathan L.
AU - Jorgenson, Eric
AU - Kraja, Aldi
AU - Lasky-Su, Jessica
AU - Li, Lang
AU - Rodin, Andrei
AU - Wang, Dai
AU - Province, Mike
AU - Ritchie, Marylyn D.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Gene-environment interactions
KW - Gene-gene interactions
KW - Genetic determinants
KW - Haplotype analysis
KW - Pharmacogenomics
KW - QTL analysis
KW - Tag SNPs
KW - Whole-genome association
UR - http://www.scopus.com/inward/record.url?scp=65549159156&partnerID=8YFLogxK
U2 - 10.2217/14622416.10.2.243
DO - 10.2217/14622416.10.2.243
M3 - Article
C2 - 19207025
AN - SCOPUS:65549159156
SN - 1462-2416
VL - 10
SP - 243
EP - 251
JO - Pharmacogenomics
JF - Pharmacogenomics
IS - 2
ER -