{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T18:30:55Z","timestamp":1725993055017},"reference-count":97,"publisher":"Elsevier","isbn-type":[{"type":"print","value":"9780128114322"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1016\/b978-0-12-809633-8.20120-9","type":"book-chapter","created":{"date-parts":[[2018,6,14]],"date-time":"2018-06-14T19:08:47Z","timestamp":1529003327000},"page":"379-387","source":"Crossref","is-referenced-by-count":0,"title":["Population Analysis of Pharmacogenetic Polymorphisms"],"prefix":"10.1016","author":[{"given":"Zen H.","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naeem","family":"Shafqat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nani","family":"Azman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark I.R.","family":"Petalcorin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lie","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib1","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1038\/nature11632","article-title":"An integrated map of genetic variation from 1092 human genomes","volume":"491","author":"Abecasis","year":"2012","journal-title":"Nature"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib2","doi-asserted-by":"crossref","first-page":"1294","DOI":"10.1093\/bioinformatics\/btm108","article-title":"GenABEL: An R library for genome-wide association analysis","volume":"23","author":"Aulchenko","year":"2007","journal-title":"Bioinformatics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib3","doi-asserted-by":"crossref","first-page":"277","DOI":"10.2217\/pgs.10.38","article-title":"HLA: A pharmacogenomics success story","volume":"11","author":"Becquemont","year":"2010","journal-title":"Pharmacogenomics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib4","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.ajhg.2015.11.020","article-title":"Genotype imputation with millions of reference samples","volume":"98","author":"Browning","year":"2016","journal-title":"American Journal of Human Genetics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib5","doi-asserted-by":"crossref","first-page":"1084","DOI":"10.1086\/521987","article-title":"Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering","volume":"81","author":"Browning","year":"2007","journal-title":"American Journal of Human Genetics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib6","doi-asserted-by":"crossref","first-page":"30483","DOI":"10.3390\/ijms161226236","article-title":"Epigenetics of aging and Alzheimer\u2019s disease: Implications for pharmacogenomics and drug response","volume":"16","author":"Cacabelos","year":"2015","journal-title":"International Journal of Molecular Sciences"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib7","doi-asserted-by":"crossref","first-page":"209","DOI":"10.2174\/1389200215666140130124910","article-title":"Incorporation of pharmacogenomics into routine clinical practice: The Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline development process","volume":"15","author":"Caudle","year":"2014","journal-title":"Current Drug Metabolism"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib8","doi-asserted-by":"crossref","first-page":"e0160733","DOI":"10.1371\/journal.pone.0160733","article-title":"Evaluating imputation algorithms for low-depth Genotyping-By-Sequencing (GBS) data","volume":"11","author":"Chan","year":"2016","journal-title":"PLOS ONE"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib9","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.2217\/PGS.15.54","article-title":"Progress in understanding the genomic basis for adverse drug reactions: A comprehensive review and focus on the role of ethnicity","volume":"16","author":"Chan","year":"2015","journal-title":"Pharmacogenomics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib10","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/s13742-015-0047-8","article-title":"Second-generation PLINK: Rising to the challenge of larger and richer datasets","volume":"4","author":"Chang","year":"2015","journal-title":"Gigascience"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib11","doi-asserted-by":"crossref","first-page":"1214","DOI":"10.1093\/bioinformatics\/btv741","article-title":"traseR: An R package for performing trait-associated SNP enrichment analysis in genomic intervals","volume":"32","author":"Chen","year":"2016","journal-title":"Bioinformatics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib12","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1038\/428486a","article-title":"Medical genetics: A marker for Stevens-Johnson syndrome","volume":"428","author":"Chung","year":"2004","journal-title":"Nature"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib13","doi-asserted-by":"crossref","first-page":"80","DOI":"10.4161\/fly.19695","article-title":"A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3","volume":"6","author":"Cingolani","year":"2012","journal-title":"Fly (Austin)"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib14","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1038\/s41525-017-0021-8","article-title":"Genome sequencing as a platform for pharmacogenetic genotyping: A pediatric cohort study","volume":"2","author":"Cohn","year":"2017","journal-title":"NPJ Genomic Medicine"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib15","doi-asserted-by":"crossref","first-page":"1022","DOI":"10.1182\/blood-2008-01-134247","article-title":"A genome-wide scan for common genetic variants with a large influence on warfarin maintenance dose","volume":"112","author":"Cooper","year":"2008","journal-title":"Blood"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib16","doi-asserted-by":"crossref","first-page":"2395","DOI":"10.1021\/acs.jcim.7b00175","article-title":"PhID: An open-access integrated pharmacology interactions database for drugs, targets, diseases, genes, side-effects, and pathways","volume":"57","author":"Deng","year":"2017","journal-title":"Journal of Chemical Information and Modelling"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib17","first-page":"86","article-title":"Pharmacogenomics: What is next?","volume":"2","author":"Di Iulio","year":"2011","journal-title":"Frontiers in Pharmacology"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib18","doi-asserted-by":"crossref","first-page":"S60","DOI":"10.1038\/537S60a","article-title":"Pharmacogenetics: The right drug for you","volume":"537","author":"Drew","year":"2016","journal-title":"Nature"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib19","doi-asserted-by":"crossref","first-page":"e1001046","DOI":"10.1371\/journal.pbio.1001046","article-title":"A user\u2019s guide to the encyclopedia of DNA elements (ENCODE)","volume":"9","year":"2011","journal-title":"PLOS Biology"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib20","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1038\/nature13835","article-title":"Genetic and epigenetic fine mapping of causal autoimmune disease variants","volume":"518","author":"Farh","year":"2015","journal-title":"Nature"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib21","unstructured":"Fda, 2017. Table of Pharmacogenomic Biomarkers in Drug Labeling [Online]. Available at: https:\/\/www.fda.gov\/Drugs\/ScienceResearch\/ucm572698.htm (accessed 06.12.2017)."},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib22","doi-asserted-by":"crossref","first-page":"e70183","DOI":"10.1371\/journal.pone.0070183","article-title":"Relationship between genotypes Sult1a2 and Cyp2d6 and tamoxifen metabolism in breast cancer patients","volume":"8","author":"Fernandez-Santander","year":"2013","journal-title":"PLOS ONE"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib23","doi-asserted-by":"crossref","first-page":"1648","DOI":"10.1007\/s00125-017-4335-y","article-title":"The pharmacogenetics of metformin","volume":"60","author":"Florez","year":"2017","journal-title":"Diabetologia"},{"issue":"3","key":"10.1016\/B978-0-12-809633-8.20120-9_bib24","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1002\/cpt.910","article-title":"The Pharmacogene Variation (PharmVar) Consortium: Incorporation of the Human Cytochrome P450 (CYP) allele nomenclature database","volume":"103","author":"Gaedigk","year":"2018","journal-title":"Clinical Pharmacology Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib25","doi-asserted-by":"crossref","first-page":"9287","DOI":"10.1073\/pnas.1001827107","article-title":"Chemotherapeutic drug susceptibility associated SNPs are enriched in expression quantitative trait loci","volume":"107","author":"Gamazon","year":"2010","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/nrd.2016.234","article-title":"Genome-wide association studies of drug response and toxicity: An opportunity for genome medicine","volume":"16","author":"Giacomini","year":"2017","journal-title":"Nature Reviews Drug Discovery"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib27","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1038\/sj.clpt.6100367","article-title":"Tamoxifen pharmacogenomics: The role of CYP2D6 as a predictor of drug response","volume":"83","author":"Goetz","year":"2008","journal-title":"Clinical Pharmacology Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib28","doi-asserted-by":"crossref","first-page":"3329","DOI":"10.1093\/bioinformatics\/bts610","article-title":"GWASTools: An R\/Bioconductor package for quality control and analysis of genome-wide association studies","volume":"28","author":"Gogarten","year":"2012","journal-title":"Bioinformatics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib29","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1126\/science.1262110","article-title":"Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans","volume":"348","year":"2015","journal-title":"Science"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib30","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1038\/ng.3247","article-title":"Large-scale whole-genome sequencing of the Icelandic population","volume":"47","author":"Gudbjartsson","year":"2015","journal-title":"Nature Genetics"},{"issue":"1\u20132","key":"10.1016\/B978-0-12-809633-8.20120-9_bib31","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.cell.2017.11.033","article-title":"Pharmacogenomics of GPCR drug targets","volume":"172","author":"Hauser","year":"2018","journal-title":"Cell"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib32","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1097\/FPC.0b013e3282f60db0","article-title":"Changes in consensus arylamine N-acetyltransferase gene nomenclature","volume":"18","author":"Hein","year":"2008","journal-title":"Pharmacogenet Genomics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib33","doi-asserted-by":"crossref","first-page":"bau069","DOI":"10.1093\/database\/bau069","article-title":"OMICtools: An informative directory for multi-omic data analysis","volume":"2014","author":"Henry","year":"2014","journal-title":"Database (Oxford)"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib34","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1038\/clpt.2012.209","article-title":"Clinical Pharmacogenetics Implementation Consortium guidelines for human leukocyte antigen-B genotype and allopurinol dosing","volume":"93","author":"Hershfield","year":"2013","journal-title":"Clinical Pharmacology and Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib35","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1007\/s10549-017-4400-8","article-title":"CYP2D6 genotype is not associated with survival in breast cancer patients treated with tamoxifen: Results from a population-based study","volume":"166","author":"Hertz","year":"2017","journal-title":"Breast Cancer Research and Treatment"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib36","unstructured":"Hill, S., 2015. Taking a more personalised approach to diagnosis and care [Online]. Available: https:\/\/www.england.nhs.uk\/blog\/sue-hill\/ (accessed 20.07.2017)."},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib37","doi-asserted-by":"crossref","first-page":"e1000529","DOI":"10.1371\/journal.pgen.1000529","article-title":"A flexible and accurate genotype imputation method for the next generation of genome-wide association studies","volume":"5","author":"Howie","year":"2009","journal-title":"PLOS Genetics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib38","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1038\/nmeth.3252","article-title":"Orchestrating high-throughput genomic analysis with Bioconductor","volume":"12","author":"Huber","year":"2015","journal-title":"Nature Methods"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib39","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1097\/01.fpc.0000199500.46842.4a","article-title":"Genetic susceptibility to carbamazepine-induced cutaneous adverse drug reactions","volume":"16","author":"Hung","year":"2006","journal-title":"Pharmacogenet Genomics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib40","doi-asserted-by":"crossref","first-page":"4134","DOI":"10.1073\/pnas.0409500102","article-title":"HLA-B*5801 allele as a genetic marker for severe cutaneous adverse reactions caused by allopurinol","volume":"102","author":"Hung","year":"2005","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib41","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1016\/j.pharmthera.2007.09.004","article-title":"Influence of cytochrome P450 polymorphisms on drug therapies: Pharmacogenetic, pharmacoepigenetic and clinical aspects","volume":"116","author":"Ingelman-Sundberg","year":"2007","journal-title":"Pharmacology and Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib42","doi-asserted-by":"crossref","first-page":"D356","DOI":"10.1093\/nar\/gkv1178","article-title":"GPCRdb: An information system for G protein-coupled receptors","volume":"44","author":"Isberg","year":"2016","journal-title":"Nucleic Acids Research"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib43","doi-asserted-by":"crossref","first-page":"R166","DOI":"10.1093\/hmg\/ddn250","article-title":"Genome-based prediction of common diseases: Advances and prospects","volume":"17","author":"Janssens","year":"2008","journal-title":"Human Molecular Genetics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib44","doi-asserted-by":"crossref","first-page":"1821","DOI":"10.2217\/pgs.13.180","article-title":"Specific HLA types are associated with antiepileptic drug-induced Stevens-Johnson syndrome and toxic epidermal necrolysis in Japanese subjects","volume":"14","author":"Kaniwa","year":"2013","journal-title":"Pharmacogenomics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib45","doi-asserted-by":"crossref","first-page":"e1002817","DOI":"10.1371\/journal.pcbi.1002817","article-title":"Chapter 7: Pharmacogenomics","volume":"8","author":"Karczewski","year":"2012","journal-title":"PLOS Computational Biology"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib46","doi-asserted-by":"crossref","first-page":"170113","DOI":"10.1038\/sdata.2017.113","article-title":"The FANTOM5 collection, a data series underpinning mammalian transcriptome atlases in diverse cell types","volume":"4","author":"Kawaji","year":"2017","journal-title":"Scientific Data"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib47","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1038\/clpt.2009.226","article-title":"The pharmacogenomics of membrane transporters project: Research at the interface of genomics and transporter pharmacology","volume":"87","author":"Kroetz","year":"2010","journal-title":"Clinical Pharmacology and Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib48","doi-asserted-by":"crossref","first-page":"e0162801","DOI":"10.1371\/journal.pone.0162801","article-title":"ePGA: A Web-Based Information System for Translational Pharmacogenomics","volume":"11","author":"Lakiotaki","year":"2016","journal-title":"PLOS ONE"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib49","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1002\/gepi.20533","article-title":"MaCH: Using sequence and genotype data to estimate haplotypes and unobserved genotypes","volume":"34","author":"Li","year":"2010","journal-title":"Genetic Epidemiology"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib50","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1111\/j.1365-2125.2011.03905.x","article-title":"Impact of CYP2D6, CYP3A5, CYP2C9 and CYP2C19 polymorphisms on tamoxifen pharmacokinetics in Asian breast cancer patients","volume":"71","author":"Lim","year":"2011","journal-title":"British Journal of Clinical Pharmacology"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib51","doi-asserted-by":"crossref","first-page":"D896","DOI":"10.1093\/nar\/gkw1133","article-title":"The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog)","volume":"45","author":"Macarthur","year":"2017","journal-title":"Nucleic Acids Research"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib52","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1097\/01.fpc.0000173483.13689.56","article-title":"Nomenclature update for the mammalian UDP glycosyltransferase (UGT) gene superfamily","volume":"15","author":"Mackenzie","year":"2005","journal-title":"Pharmacogenet Genomics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib53","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1038\/clpt.2011.355","article-title":"Clinical pharmacogenetics implementation consortium guidelines for HLA-B genotype and abacavir dosing","volume":"91","author":"Martin","year":"2012","journal-title":"Clinical Pharmacology and Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib54","doi-asserted-by":"crossref","first-page":"RRN1203","DOI":"10.1371\/currents.RRN1203","article-title":"HLA-B*5701 testing to predict abacavir hypersensitivity","volume":"2","author":"Ma","year":"2010","journal-title":"PLOS Currents"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib55","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1186\/s13059-016-0974-4","article-title":"The Ensembl Variant Effect Predictor","volume":"17","author":"Mclaren","year":"2016","journal-title":"Genome Biology"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib56","doi-asserted-by":"crossref","first-page":"e0162866","DOI":"10.1371\/journal.pone.0162866","article-title":"A European spectrum of Pharmacogenomic biomarkers: Implications for clinical pharmacogenomics","volume":"11","author":"Mizzi","year":"2016","journal-title":"PLOS ONE"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib57","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1097\/FPC.0b013e32833d7b45","article-title":"Genome-wide association studies in pharmacogenomics: Successes and lessons","volume":"23","author":"Motsinger-Reif","year":"2013","journal-title":"Pharmacogenet Genomics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib58","unstructured":"Nhgri-Ebi. 2018. GWAS Catalog [Online]. Available at: http:\/\/www.ebi.ac.uk\/gwas. (accessed)."},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib59","unstructured":"Omicx, 2018. OMICtools [Online]. Available at: https:\/\/omictools.com\/whole-genome-resequencing-category. (accessed 17.02.2018)."},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib60","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1211\/jpp.62.02.0002","article-title":"Methodological and statistical issues in pharmacogenomics","volume":"62","author":"Peters","year":"2010","journal-title":"Journal of Pharmacy and Pharmacology"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib61","unstructured":"Pharmgkb, 2017. PharmGKB: The Pharmacogenomics Knowledgebase [Online]. Available: https:\/\/www.pharmgkb.org\/. (accessed 28.12.2017)."},{"issue":"4","key":"10.1016\/B978-0-12-809633-8.20120-9_bib62","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1002\/cpt.1004","article-title":"Clinical Pharmacogenetics Implementation Consortium guideline for HLA genotype and use of carbamazepine and oxcarbazepine: 2017 update","volume":"103","author":"Phillips","year":"2018","journal-title":"Clinical Pharmacology Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib63","doi-asserted-by":"crossref","first-page":"129","DOI":"10.2217\/pgs-2017-0111","article-title":"Recent trends on the role of epigenomics, metabolomics and noncoding RNAs in rationalizing mood stabilizing treatment","volume":"19","author":"Pisanu","year":"2018","journal-title":"Pharmacogenomics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib64","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1038\/538161a","article-title":"Genomics is failing on diversity","volume":"538","author":"Popejoy","year":"2016","journal-title":"Nature"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib65","doi-asserted-by":"crossref","first-page":"5068","DOI":"10.1038\/ncomms6068","article-title":"Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins","volume":"5","author":"Postmus","year":"2014","journal-title":"Nature Communications"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib66","doi-asserted-by":"crossref","first-page":"140071","DOI":"10.1098\/rsob.140071","article-title":"Deciphering next-generation pharmacogenomics: An information technology perspective","volume":"4","author":"Potamias","year":"2014","journal-title":"Open Biology"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib67","doi-asserted-by":"crossref","first-page":"896","DOI":"10.3389\/fphar.2017.00896","article-title":"Enhancing the Promise of Drug Repositioning through Genetics","volume":"8","author":"Pritchard","year":"2017","journal-title":"Frontiers in Pharmacology"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib68","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1086\/519795","article-title":"PLINK: A tool set for whole-genome association and population-based linkage analyses","volume":"81","author":"Purcell","year":"2007","journal-title":"American Journal of Human Genetics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib69","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1038\/tpj.2013.24","article-title":"Pharmacogenomics, ancestry and clinical decision making for global populations","volume":"14","author":"Ramos","year":"2014","journal-title":"The Pharmacogenomics Journal"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib70","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1038\/clpt.2014.137","article-title":"Design and anticipated outcomes of the eMERGE-PGx project: A multicenter pilot for preemptive pharmacogenomics in electronic health record systems","volume":"96","author":"Rasmussen-Torvik","year":"2014","journal-title":"Clinical Pharmacology Therapy"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib71","doi-asserted-by":"crossref","first-page":"3769","DOI":"10.1002\/sim.6605","article-title":"A guide to genome-wide association analysis and post-analytic interrogation","volume":"34","author":"Reed","year":"2015","journal-title":"Statistics in Medicine"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib72","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1038\/nature15817","article-title":"Pharmacogenomics in the clinic","volume":"526","author":"Relling","year":"2015","journal-title":"Nature"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib73","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1038\/clpt.2010.279","article-title":"CPIC: Clinical Pharmacogenetics Implementation Consortium of the pharmacogenomics research network","volume":"89","author":"Relling","year":"2011","journal-title":"Clinical Pharmacology Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib74","first-page":"129","article-title":"Pharmacogenetics in breast cancer: Steps toward personalized medicine in breast cancer management","volume":"3","author":"Rofaiel","year":"2010","journal-title":"Pharmacogenomics and Personalized Medicine"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib75","doi-asserted-by":"crossref","first-page":"1095","DOI":"10.2217\/pgs-2017-0068","article-title":"Pharmacogenetics of inflammatory bowel disease: A focus on Crohn\u2019s disease","volume":"18","author":"Rufini","year":"2017","journal-title":"Pharmacogenomics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib76","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1002\/cpt.161","article-title":"Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines for human leukocyte antigen B (HLA-B) genotype and allopurinol dosing: 2015 update","volume":"99","author":"Saito","year":"2016","journal-title":"Clinical Pharmacology and Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib77","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1038\/520609a","article-title":"Personalized medicine: Time for one-person trials","volume":"520","author":"Schork","year":"2015","journal-title":"Nature"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib78","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1038\/tpj.2011.44","article-title":"Genomics of ADME gene expression: Mapping expression quantitative trait loci relevant for absorption, distribution, metabolism and excretion of drugs in human liver","volume":"13","author":"Schroder","year":"2013","journal-title":"The Pharmacogenomics Journal"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib79","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1254\/jphs.08R01FM","article-title":"Pharmacogenomics of cardiovascular pharmacology: Molecular network analysis in pleiotropic effects of statin \u2013 An experimental elucidation of the pharmacologic action from protein-protein interaction analysis","volume":"107","author":"Shiota","year":"2008","journal-title":"Journal of Pharmacological Sciences"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib80","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1002\/humu.21454","article-title":"Databases in the area of pharmacogenetics","volume":"32","author":"Sim","year":"2011","journal-title":"Human Mutation"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib81","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1186\/1479-7364-4-4-278","article-title":"The Human Cytochrome P450 (CYP) Allele Nomenclature website: A peer-reviewed database of CYP variants and their associated effects","volume":"4","author":"Sim","year":"2010","journal-title":"Human Genomics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib82","doi-asserted-by":"crossref","first-page":"R111","DOI":"10.1093\/hmg\/ddv260","article-title":"Strategies for fine-mapping complex traits","volume":"24","author":"Spain","year":"2015","journal-title":"Human Molecular Genetics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib83","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/S1471-4914(01)01986-4","article-title":"Clinical application of pharmacogenetics","volume":"7","author":"Spear","year":"2001","journal-title":"Trends in Molecular Medicine"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib84","doi-asserted-by":"crossref","first-page":"S73","DOI":"10.4103\/0976-500X.120957","article-title":"Clinical and economic burden of adverse drug reactions","volume":"4","author":"Sultana","year":"2013","journal-title":"Journal of Pharmacology and Pharmacotherapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib85","doi-asserted-by":"crossref","first-page":"e1000433","DOI":"10.1371\/journal.pgen.1000433","article-title":"A genome-wide association study confirms VKORC1, CYP2C9, and CYP4F2 as principal genetic determinants of warfarin dose","volume":"5","author":"Takeuchi","year":"2009","journal-title":"PLOS Genetics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib86","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1097\/FPC.0b013e328330a3b8","article-title":"Strong association between HLA-B*5801 and allopurinol-induced Stevens-Johnson syndrome and toxic epidermal necrolysis in a Thai population","volume":"19","author":"Tassaneeyakul","year":"2009","journal-title":"PharmacoSgenet Genomics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib87","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1055\/s-0036-1585406","article-title":"An Introduction to Genome-Wide Association Studies: GWAS for Dummies","volume":"34","author":"Uitterlinden","year":"2016","journal-title":"Seminars in Reproductive Medicine"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib88","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1038\/clpt.2013.229","article-title":"Clinically actionable genotypes among 10,000 patients with preemptive pharmacogenomic testing","volume":"95","author":"Van Driest","year":"2014","journal-title":"Clinical Pharmacology & Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib89","doi-asserted-by":"crossref","first-page":"e164","DOI":"10.1093\/nar\/gkq603","article-title":"ANNOVAR: Functional annotation of genetic variants from high-throughput sequencing data","volume":"38","author":"Wang","year":"2010","journal-title":"Nucleic Acids Research"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib90","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1089\/apc.2008.0245","article-title":"A study of HIV provider attitudes toward HLA-B 5701 testing in the United States","volume":"23","author":"Watson","year":"2009","journal-title":"AIDS Patient Care and STDs"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib91","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1038\/clpt.2012.96","article-title":"Pharmacogenomics knowledge for personalized medicine","volume":"92","author":"Whirl-Carrillo","year":"2012","journal-title":"Clinical Pharmacology & Therapeutics"},{"issue":"D1","key":"10.1016\/B978-0-12-809633-8.20120-9_bib92","doi-asserted-by":"crossref","first-page":"D1074","DOI":"10.1093\/nar\/gkx1037","article-title":"DrugBank 5.0: A major update to the DrugBank database for 2018","volume":"46","author":"Wishart","year":"2018","journal-title":"Nucleic Acids Research"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib93","doi-asserted-by":"crossref","first-page":"D668","DOI":"10.1093\/nar\/gkj067","article-title":"DrugBank: A comprehensive resource for in silico drug discovery and exploration","volume":"34","author":"Wishart","year":"2006","journal-title":"Nucleic Acids Research"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib94","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1002\/cpt.411","article-title":"Comparison of genome sequencing and clinical genotyping for pharmacogenes","volume":"100","author":"Yang","year":"2016","journal-title":"Clinical Pharmacology & Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib95","doi-asserted-by":"crossref","first-page":"1673","DOI":"10.1097\/QAD.0b013e32830719aa","article-title":"First large, multicenter, open-label study utilizing HLA-B*5701 screening for abacavir hypersensitivity in North America","volume":"22","author":"Young","year":"2008","journal-title":"AIDS"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib96","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.pharmthera.2017.02.036","article-title":"Personalized medicine: Genetic risk prediction of drug response","volume":"175","author":"Zhang","year":"2017","journal-title":"Pharmacology and Therapeutics"},{"key":"10.1016\/B978-0-12-809633-8.20120-9_bib97","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.gpb.2015.01.002","article-title":"Web resources for pharmacogenomics","volume":"13","author":"Zhang","year":"2015","journal-title":"Genomics Proteomics Bioinformatics"}],"container-title":["Encyclopedia of Bioinformatics and Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780128096338201209?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780128096338201209?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,1,21]],"date-time":"2019-01-21T19:03:36Z","timestamp":1548097416000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9780128096338201209"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9780128114322"],"references-count":97,"URL":"https:\/\/doi.org\/10.1016\/b978-0-12-809633-8.20120-9","relation":{},"subject":[],"published":{"date-parts":[[2019]]}}}