Abstract
The objective of pharmacogenetic research is to identify a genetic marker, or a set of genetic markers, that can predict how a given person will respond to a given medicine. To search for such marker combinations that are predictive of adverse drug events, we have developed and applied two complementary methods to a pharmacogenetic study of the hypersensitivity reaction (HSR) associated with treatment with abacavir, a medicine that is used to treat HIV-infected patients. Our results show that both of these methods can be used to uncover potentially useful predictive marker combinations. The pairwise marker combination method yielded a collection of marker pairs that featured a spectrum of sensitivities and specificities. Recursive partitioning results led to the genetic delineation of multiple risk categories, including those with extremely high and extremely low risk of HSR. These methods can be readily applied in pharmacogenetic candidate gene studies as well as in genome-wide scans.
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References
Lindpaintner K . Pharmacogenetics and the future of medical practice. J Mol Med 2003; 81 (3): 141–153.
Roses AD . Pharmacogenetics and drug development: the path to safer and more effective drugs. Nat Rev Genet 2004; 5 (9): 645–656.
Schmith VD, Campbell DA, Sehgal S, Anderson WH, Burns DK, Middleton LT et al. Pharmacogenetics and disease genetics of complex diseases. Cell Mol Life Sci 2003; 60 (8): 1636–1646.
Evans WE, Relling MV . Moving towards individualized medicine with pharmacogenomics. Nature 2004; 429 (6990): 464–468.
Goldstein DB . Pharmacogenetics in the laboratory and the clinic. N Engl J Med 2003; 348 (6): 553–556.
Guzey C, Spigset O . Genotyping as a tool to predict adverse drug reactions. Curr Top Med Chem 2004; 4 (13): 1411–1421.
Hosford DA, Lai EH, Riley JH, Xu CF, Danoff TM, Roses AD . Pharmacogenetics to predict drug-related adverse events. Toxicol Pathol 2004; 32 (Suppl 1): 9–112.
Pirmohamed M, Park BK . Genetic susceptibility to adverse drug reactions. Trends Pharmacol Sci 2001; 22 (6): 298–305.
Hall ST, Abbott N, Schmith G, Brazell C . Pharmacogenetics in drug development: regulatory and clinical considerations. Drug Dev Res 2004; 62: 102–111.
Cutrell AG, Hernandez JE, Fleming JW, Edwards MT, Moore MA, Brothers CH et al. Updated clinical risk factor analysis of suspected hypersensitivity reactions to abacavir. Ann Pharmacother 2004; 38 (12): 2171–2172.
Hetherington S, McGuirk S, Powell G, Cutrell A, Naderer O, Spreen B et al. Hypersensitivity reactions during therapy with the nucleoside reverse transcriptase inhibitor abacavir. Clin Ther 2001; 23 (10): 1603–1614.
Cutrell A, Hernandez JE, Edwards M, Fleming J, Brothers C, Powell W et al. Clinical risk factors for hypersensitivity reactions to abacavir: retrospective analysis of over 8000 subjects receiving abacavir in 34 clinical trials. 43rd Interscience Conference on Antimicrobial Agents and Chemotherapy, 2003, Chicago, IL USA, Abstract H-2013, 2005.
Hughes AR, Mosteller M, Bansal AT, Davies K, Haneline SA, Lai EH et al. Association of genetic variations in HLA-B region with hypersensitivity to abacavir in some, but not all, populations. Pharmacogenomics 2004; 5 (2): 203–211.
Hughes AR, Mosteller M, Warren LL, Gatherum A, Scott T, Spreen WR . Key findings from the analysis of candidate gene markers to two retrospective, case–control studies to investigate genetic polymorphisms in HIV Infected subjects who developed hypersensitivity following treatment with abacavir. 2003 GlaxoSmithKline Report RJ2003/00003/00.
Hughes AR, Haneline S, Hernandez JE, Mosteller M, Scott T, Warren LL et al. Key findings from the analysis of candidate gene markers and genome-wide single nucleotide polymorphisms (SNPs) from two retrospective, case–control studies to investigate genetic polymorphisms in HIV infected subjects who developed hypersensitivity following treatment with abacavir. 2004 GlaxoSmithKline Report RJ2004/00004/00.
Mallal S, Nolan D, Witt C, Masel G, Martin AM, Moore C et al. Association between presence of HLA-B*5701, HLA-DR7, and HLA-DQ3 and hypersensitivity to HIV-1 reverse-transcriptase inhibitor abacavir. Lancet 2002; 359 (9308): 727–732.
Hughes DA, Vilar FJ, Ward CC, Alfirevic A, Park BK, Pirmohamed M . Cost-effectiveness analysis of HLA B*5701 genotyping in preventing abacavir hypersensitivity. Pharmacogenetics 2004; 6 (14): 335–342.
Hawkins DM, Young SS, Rusinko AI . Analysis of large structure activity data set using recursive partitioning. Quant Struc Act-Relat 1997; 16: 296–302.
Young SS, Ge N . Recursive partitioning analysis of complex disease pharmacogenetic studies. I. Motivation and overview. Pharmacogenomics 2005; 6 (1): 65–75.
Martin AM, Nolan D, Gaudieri S, Almeida CA, Nolan R, James I et al. Predisposition to abacavir hypersensitivity conferred by HLA-B*5701 and a haplotypic Hsp70-Hom variant. Proc Natl Acad Sci USA 2004; 101 (12): 4180–4185.
Lin MT, Storer B, Martin PJ, Tseng LH, Gooley T, Chen PJ et al. Relation of an interleukin-10 promoter polymorphism to graft-versus-host disease and survival after hematopoietic-cell transplantation. N Engl J Med 2003; 349 (23): 2201–2210.
Ozaki K, Ohnishi Y, Iida A, Sekine A, Yamada R, Tsunoda T et al. Functional SNPs in the lymphotoxin-alpha gene that are associated with susceptibility to myocardial infarction. Nat Genet 2002; 32 (4): 650–654.
Kammerer S, Roth RB, Reneland R, Marnellos G, Hoyal CR, Markward NJ et al. Large-scale association study identifies ICAM gene region as breast and prostate cancer susceptibility locus. Cancer Res 2004; 64 (24): 8906–8910.
Ioannidis JP, Ntzani EE, Trikalinos TA, Contopoulos-Ioannidis DG . Replication validity of genetic association studies. Nat Genet 2001; 29 (3): 306–309.
Lohmueller KE, Pearce CL, Pike M, Lander ES, Hirschhorn JN . Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease. Nat Genet 2003; 33 (2): 177–182.
Hirschhorn JN, Lohmueller K, Byrne E, Hirschhorn K . A comprehensive review of genetic association studies. Genet Med 2002; 4 (2): 45–61.
Vieland VJ . The replication requirement. Nat Genet 2001; 29 (3): 244–245.
Ritchie MD, Hahn LW, Roodi N, Bailey LR, Dupont WD, Parl FF et al. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am J Hum Genet 2001; 69 (1): 138–147.
Jannot AS, Essioux L, Reese MG, Clerget-Darpoux F . Improved use of SNP information to detect the role of genes. Genet Epidemiol 2003; 25 (2): 158–167.
Nelson MR, Kardia SL, Ferrell RE, Sing CF . A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation. Genome Res 2001; 11 (3): 458–470.
Bastone L, Reilly M, Rader DJ, Foulkes AS . MDR and PRP: a comparison of methods for high-order genotype-phenotype associations. Hum Hered 2004; 58 (2): 82–92.
Lambert CG . HelixTree® Genetics Analysis Software. Golden Helix, Inc. http://www.goldenhelixcom, 2005.
Zaykin DV, Young SS . Large recursive partitioning analysis of complex disease pharmacogenetic studies. II. Statistical considerations. Pharmacogenomics 2005; 6 (1): 77–89.
Acknowledgements
This research would not have been possible without the participation of literally thousands of individuals. We thank the patients and the healthcare providers who generously contributed to these studies as well as the dedicated GSK staff who facilitated the conduct of these studies and provided critical laboratory and bioinformatic support. For a list of all the participating investigators, refer to the supplementary information. This work was supported in part by the Intramural Research Program of the NIH, National Institute of Environmental Health Sciences.
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Supplementary Information accompanies the paper on the The Pharmacogenomics Journal website (http://www.nature.com/tpj)
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Warren, L., Hughes, A., Lai, E. et al. Use of pairwise marker combination and recursive partitioning in a pharmacogenetic genome-wide scan. Pharmacogenomics J 7, 180–189 (2007). https://doi.org/10.1038/sj.tpj.6500414
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DOI: https://doi.org/10.1038/sj.tpj.6500414