1. Szefler SJ, Martin RJ, King TS, Boushey HA, Cherniack RM, Chinchilli VM, et al. Significant variability in response to inhaled corticosteroids for persistent asthma. J Allergy Clin Immunol. 2002; 109:410–418.
Article
2. Malmstrom K, Rodriguez-Gomez G, Guerra J, Villaran C, Pineiro A, Wei LX, et al. Montelukast/Beclomethasone Study Group. Oral montelukast, inhaled beclomethasone, and placebo for chronic asthma. A randomized, controlled trial. Ann Intern Med. 1999; 130:487–495.
Article
3. Drazen JM, Silverman EK, Lee TH. Heterogeneity of therapeutic responses in asthma. Br Med Bull. 2000; 56:1054–1070.
Article
4. Szefler SJ, Phillips BR, Martinez FD, Chinchilli VM, Lemanske RF, Strunk RC, et al. Characterization of within-subject responses to fluticasone and montelukast in childhood asthma. J Allergy Clin Immunol. 2005; 115:233–242.
Article
5. U.S. Department of Health and Human Services. Food and Drug Administration. Center for Drug Evaluation and Research (CDER). Center for Biologics Evaluation and Research (CBER). Guidance for industry: E15 definitions for genomic biomarkers, pharmacogenomics, pharmacogenetics, genomic data and sample coding categories. Silver Spring, MD: U.S. Food and Drug Administration;cited 2014 Nov 11. Available from:
http://www.fda.gov/downloads/drugs/guidancecomplianceregulatoryinformation/guidances/ucm073162.pdf.
6. Flaherty KT, Puzanov I, Kim KB, Ribas A, McArthur GA, Sosman JA, et al. Inhibition of mutated, activated BRAF in metastatic melanoma. N Engl J Med. 2010; 363:809–819.
Article
7. Chen P, Lin JJ, Lu CS, Ong CT, Hsieh PF, Yang CC, et al. Carbamazepine-induced toxic effects and HLA-B
*1502 screening in Taiwan. N Engl J Med. 2011; 364:1126–1133.
Article
8. Corren J, Lemanske RF, Hanania NA, Korenblat PE, Parsey MV, Arron JR, et al. Lebrikizumab treatment in adults with asthma. N Engl J Med. 2011; 365:1088–1098.
Article
10. Israel E, Chinchilli VM, Ford JG, Boushey HA, Cherniack R, Craig TJ, et al. Use of regularly scheduled albuterol treatment in asthma: genotype-stratified, randomised, placebo-controlled cross-over trial. Lancet. 2004; 364:1505–1512.
Article
11. Giacomini KM, Brett CM, Altman RB, Benowitz NL, Dolan ME, Flockhart DA, et al. The pharmacogenetics research network: from SNP discovery to clinical drug response. Clin Pharmacol Ther. 2007; 81:328–345.
Article
12. McCarthy JJ, Hilfiker R. The use of single-nucleotide polymorphism maps in pharmacogenomics. Nat Biotechnol. 2000; 18:505–508.
Article
13. Evans WE, McLeod HL. Pharmacogenomics: drug disposition, drug targets, and side effects. N Engl J Med. 2003; 348:538–549.
Article
14. Evans WE, Relling MV. Pharmacogenomics: translating functional genomics into rational therapeutics. Science. 1999; 286:487–491.
Article
15. Evans WE, Relling MV. Moving towards individualized medicine with pharmacogenomics. Nature. 2004; 429:464–468.
Article
16. Litonjua AA, Lasky-Su J, Schneiter K, Tantisira KG, Lazarus R, Klanderman B, et al. ARG1 is a novel bronchodilator response gene: screening and replication in four asthma cohorts. Am J Respir Crit Care Med. 2008; 178:688–694.
17. Duan QL, Du R, Lasky-Su J, Klanderman BJ, Partch AB, Peters SP, et al. A polymorphism in the thyroid hormone receptor gene is associated with bronchodilator response in asthmatics. Pharmacogenomics J. 2013; 13:130–136.
Article
18. Tantisira KG, Lake S, Silverman ES, Palmer LJ, Lazarus R, Silverman EK, et al. Corticosteroid pharmacogenetics: association of sequence variants in CRHR1 with improved lung function in asthmatics treated with inhaled corticosteroids. Hum Mol Genet. 2004; 13:1353–1359.
Article
19. Tantisira KG, Hwang ES, Raby BA, Silverman ES, Lake SL, Richter BG, et al. TBX21: a functional variant predicts improvement in asthma with the use of inhaled corticosteroids. Proc Natl Acad Sci U S A. 2004; 101:18099–18104.
Article
20. Drazen JM, Yandava CN, Dube L, Szczerback N, Hippensteel R, Pillari A, et al. Pharmacogenetic association between ALOX5 promoter genotype and the response to anti-asthma treatment. Nat Genet. 1999; 22:168–170.
Article
21. Klotsman M, York TP, Pillai SG, Vargas-Irwin C, Sharma SS, van den Oord EJ, et al. Pharmacogenetics of the 5-lipoxygenase biosynthetic pathway and variable clinical response to montelukast. Pharmacogenet Genomics. 2007; 17:189–196.
Article
22. Himes BE, Jiang X, Hu R, Wu AC, Lasky-Su JA, Klanderman BJ, et al. Genome-wide association analysis in asthma subjects identifies SPATS2L as a novel bronchodilator response gene. PLoS Genet. 2012; 8:e1002824.
Article
23. Drake KA, Torgerson DG, Gignoux CR, Galanter JM, Roth LA, Huntsman S, et al. A genome-wide association study of bronchodilator response in Latinos implicates rare variants. J Allergy Clin Immunol. 2014; 133:370–378.
Article
24. Tantisira KG, Lasky-Su J, Harada M, Murphy A, Litonjua AA, Himes BE, et al. Genomewide association between GLCCI1 and response to glucocorticoid therapy in asthma. N Engl J Med. 2011; 365:1173–1183.
Article
25. Tantisira KG, Damask A, Szefler SJ, Schuemann B, Markezich A, Su J, et al. Genome-wide association identifies the T gene as a novel asthma pharmacogenetic locus. Am J Respir Crit Care Med. 2012; 185:1286–1291.
Article
26. Park HW, Dahlin A, Tse S, Duan QL, Schuemann B, Martinez FD, et al. Genetic predictors associated with improvement of asthma symptoms in response to inhaled corticosteroids. J Allergy Clin Immunol. 2014; 133:664–669.e5.
Article
27. Maitland-van der Zee AH, Boerwinkle E. Pharmacogenetics of response to statins: where do we stand? Curr Atheroscler Rep. 2005; 7:204–208.
Article
28. Wilke RA, Reif DM, Moore JH. Combinatorial pharmacogenetics. Nat Rev Drug Discov. 2005; 4:911–918.
Article
29. Sing CF, Stengard JH, Kardia SL. Dynamic relationships between the genome and exposures to environments as causes of common human diseases. World Rev Nutr Diet. 2004; 93:77–91.
Article
30. Moore JH. The ubiquitous nature of epistasis in determining susceptibility to common human diseases. Hum Hered. 2003; 56:73–82.
Article
31. Thornton-Wells TA, Moore JH, Haines JL. Genetics, statistics and human disease: analytical retooling for complexity. Trends Genet. 2004; 20:640–647.
Article
32. Quackenbush J. Extracting meaning from functional genomics experiments. Toxicol Appl Pharmacol. 2005; 207:2 Suppl. 195–199.
Article
33. Gajendran VK, Lin JR, Fyhrie DP. An application of bioinformatics and text mining to the discovery of novel genes related to bone biology. Bone. 2007; 40:1378–1388.
Article
34. Nenadic G, Spasic I, Ananiadou S. Terminology-driven mining of biomedical literature. Bioinformatics. 2003; 19:938–943.
Article
35. Yandell MD, Majoros WH. Genomics and natural language processing. Nat Rev Genet. 2002; 3:601–610.
Article
36. Davies SM. Pharmacogenetics, pharmacogenomics and personalized medicine: are we there yet? Hematology Am Soc Hematol Educ Program. 2006; 111–117.
Article
37. Ritchie MD. Bioinformatics approaches for detecting gene-gene and gene-environment interactions in studies of human disease. Neurosurg Focus. 2005; 19:E2.
Article
38. Moore JH, Ritchie MD. STUDENTJAMA. The challenges of whole-genome approaches to common diseases. JAMA. 2004; 291:1642–1643.
39. Aderem A. Systems biology: its practice and challenges. Cell. 2005; 121:511–513.
Article
40. Koster ES, Rodin AS, Raaijmakers JA, Maitland-van der Zee AH. Systems biology in pharmacogenomic research: the way to personalized prescribing? Pharmacogenomics. 2009; 10:971–981.
Article
41. Kirschner MW. The meaning of systems biology. Cell. 2005; 121:503–504.
Article
42. Morel NM, Holland JM, van der Greef J, Marple EW, Clish C, Loscalzo J, et al. Primer on medical genomics. Part XIV: Introduction to systems biology: a new approach to understanding disease and treatment. Mayo Clin Proc. 2004; 79:651–658.
Article
43. Dahlin A, Tantisira KG. Integrative systems biology approaches in asthma pharmacogenomics. Pharmacogenomics. 2012; 13:1387–1404.
Article
44. Needham CJ, Bradford JR, Bulpitt AJ, Westhead DR. A primer on learning in Bayesian networks for computational biology. PLoS Comput Biol. 2007; 3:e129.
Article
45. Friedman N, Linial M, Nachman I, Pe'er D. Using Bayesian networks to analyze expression data. J Comput Biol. 2000; 7:601–620.
Article
46. Beerenwinkel N, Siebourg J. Probability, statistics, and computational science. Methods Mol Biol. 2012; 855:77–110.
Article
47. Himes BE, Wu AC, Duan QL, Klanderman B, Litonjua AA, Tantisira K, et al. Predicting response to short-acting bronchodilator medication using Bayesian networks. Pharmacogenomics. 2009; 10:1393–1412.
Article
48. Franke L, Jansen RC. eQTL analysis in humans. Methods Mol Biol. 2009; 573:311–328.
Article
49. Grundberg E, Adoue V, Kwan T, Ge B, Duan QL, Lam KC, et al. Global analysis of the impact of environmental perturbation on cis-regulation of gene expression. PLoS Genet. 2011; 7:e1001279.
Article
50. Qiu W, Rogers AJ, Damask A, Raby BA, Klanderman BJ, Duan QL, et al. Pharmacogenomics: novel loci identification via integrating gene differential analysis and eQTL analysis. Hum Mol Genet. 2014; 23:5017–5024.
Article