Estimation Strategies for Reacting to the Identification of an Association Between the Genome and Adverse Drug Reactions

REFERENCES

• Breiman , L. , Friedman , J. H. , Olshen , R. A. , Stone , C. J. ( 1984 ). Classification and Regression Trees . Belmont , CA : Wadsworth .
   Google Scholar
• Clayton , D. ( 2008 ). SNPHAP—A Program for Estimating Frequencies of Large Haplotypes of SNPs , Version 1.3. http://www-gene.cimr.cam.ac.uk/clayton/software/snphap.txt
   Google Scholar
• Efron , B. , Hastie , T. , Johnstone , I. , Tibshirani , R. (2004). Least angle regression. Annals of Statistics 32:407–451.
   Web of Science ®Google Scholar
• Goeman , J. ( 2007 ). The Penalized Package . http://cran.r-project.org/doc/packages/penalized. pdf
   Google Scholar
• Hetherington , S. , Hughes , A. , Mosteller , M. , Shortino , D. , Baker , K. , Spreen , W. , Lai , E. , Davies , K. , Handley , A. , Dow , D. , Fling , M. , Stocum , M. , Bowman , C. , Thurmond , L. , Roses , A. ( 2002 ). Genetic variations in HLA-B region and hypersensitivity reactions to abacavor . Lancet 359 : 1121 – 1122 .
   PubMed Web of Science ®Google Scholar
• Kelly , P. , Stallard , N. , Zhou , Y. , Whitehead , J. , Bowman , C. ( 2006 ). Sequential genome-wide association studies for monitoring adverse events in the clinical evaluation of new drugs . Statistics in Medicine 25 : 3081 – 3092 .
   PubMedGoogle Scholar
• Lühe , A. , Sutera , L. , Rueppa , S. , Singera , T. , Weisera , T. , Albertinia , S. ( 2005 ). Toxicogenomics in the pharmaceutical industry: Hollow promises or real benefit? Mutation Research 575 : 102 – 115 .
   PubMed Web of Science ®Google Scholar
• Mallal , S. , Phillips , E. , Carosi , G. , Molina , J.M. , Workman , C. , Tomazic , J. , Jägel-Guedes , E. , Rugina , S. , Kozyrev , O. , Cid , J. F. , Hay , P. , Nolan , D. , Hughes , S. , Hughes , A. , Ryan , S. , Fitch , N. , Thorborn , D ,. Benbow , A. ; PREDICT-1 Study Team. ( 2008 ). HLA-B*5701 screening for hypersensitivity to abacavir . New England Journal of Medicine 358 ( 6 ): 637 – 639 .
   PubMedGoogle Scholar
• Park , M. Y. , Hastie , T. ( 2007 ). L 1-regularisation path algorithm for generalized linear models . Journal of the Royal Statistical Society, Series B 69 : 659 – 677 .
   Google Scholar
• Pratt , W. J. , Raiffa , H. , Schlaifer , R. ( 1995 ). Introduction to Statistical Decision Theory . Cambridge , MA : MIT Press .
   Google Scholar
• Ripley , B. D. ( 1996 ). Pattern Recognition and Neural Networks . Cambridge : Cambridge University Press .
   Google Scholar
• Ripley , B. ( 2007 ). Tree: Classification and Regression Trees . http://cran.r-project.org/ doc/packages/tree.pdf
   Google Scholar
• Sabbagh , A. , Darlu , P. ( 2006 ). Data-mining methods as useful tools for predicting individual drug response: Application to CYP2D6 data . Human Heredity 62 : 119 – 134 .
   PubMedGoogle Scholar
• Su , T.-L. , Thygesen , H. , Whitehead , J. , Bowman , C. ( 2010 ). Determining an adaptive exclusion procedure following discovery of an association between the whole genome and adverse drug reactions Drug Information Journal 44 : 147 – 158 .
   Google Scholar
• Tibshirani , R. ( 1996 ). Regression shrinkage and selection via the LASSO . Journal of the Royal Statistical Society, Series B 58 : 267 – 288 .
   Google Scholar
• Waaijenborg , S. , de Witt Hamer , P. V. , Zwinderman , A. ( 2008 ). Quantifying the association between gene expressions and DNA-markers by penalized canonical correlation analysis . Statistical Applications in Genetics and Molecular Biology 7 ( 1 ): 3 .
   Web of Science ®Google Scholar
• Whitehead , J. , Kelly , P. , Zhou , Y. , Stallard , N. , Thygesen , H. , Bowman , C. ( 2009 ). Action following the discovery of a global association between the whole genome and adverse event risk in a clinical drug-development programme . Pharmaceutical Statistics 8 : 287 – 300 .
   PubMedGoogle Scholar