Japan PGx Data Science Consortium Database: SNPs and HLA genotype data from 2994 Japanese healthy individuals for pharmacogenomics studies

Japan Pharmacogenomics Data Science Consortium (JPDSC) has assembled a database for conducting pharmacogenomics (PGx) studies in Japanese subjects. The database contains the genotypes of 2.5 million single-nucleotide polymorphisms (SNPs) and 5 human leukocyte antigen loci from 2994 Japanese healthy volunteers, as well as 121 kinds of clinical information, including self-reports, physiological data, hematological data and biochemical data. In this article, the reliability of our data was evaluated by principal component analysis (PCA) and association analysis for hematological and biochemical traits by using genome-wide SNP data. PCA of the SNPs showed that all the samples were collected from the Japanese population and that the samples were separated into two major clusters by birthplace, Okinawa and other than Okinawa, as had been previously reported. Among 87 SNPs that have been reported to be associated with 18 hematological and biochemical traits in genome-wide association studies (GWAS), the associations of 56 SNPs were replicated using our data base. Statistical power simulations showed that the sample size of the JPDSC control database is large enough to detect genetic markers having a relatively strong association even when the case sample size is small. The JPDSC database will be useful as control data for conducting PGx studies to explore genetic markers to improve the safety and efficacy of drugs either during clinical development or in post-marketing.

[1]  Michael R. Johnson,et al.  HLA-A*3101 and carbamazepine-induced hypersensitivity reactions in Europeans. , 2011, The New England journal of medicine.

[2]  Neil Kaplowitz,et al.  Idiosyncratic drug hepatotoxicity , 2005, Nature Reviews Drug Discovery.

[3]  S. Mallal,et al.  Drug hypersensitivity: pharmacogenetics and clinical syndromes. , 2011, The Journal of allergy and clinical immunology.

[4]  G. Farrell,et al.  Drugs and the liver updated, 2002. , 2002, Seminars in liver disease.

[5]  S. Tiamkao,et al.  Strong association between HLA-B*5801 and allopurinol-induced Stevens–Johnson syndrome and toxic epidermal necrolysis in a Thai population , 2009, Pharmacogenetics and genomics.

[6]  R. Fontana,et al.  Drug-Induced Liver Injury Network (DILIN) Prospective Study , 2009, Drug safety.

[7]  M. Daly,et al.  HLA-B*5701 genotype is a major determinant of drug-induced liver injury due to flucloxacillin , 2009, Nature Genetics.

[8]  H. Inoko,et al.  Detection of Ancestry Informative HLA Alleles Confirms the Admixed Origins of Japanese Population , 2013, PloS one.

[9]  D. Reich,et al.  Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.

[10]  Clive E. Bowman,et al.  Genome-wide approaches to identify pharmacogenetic contributions to adverse drug reactions , 2009, The Pharmacogenomics Journal.

[11]  B. Thiers HLA-B*5801 Allele as a Genetic Marker for Severe Cutaneous Adverse Reactions Caused by Allopurinol , 2006 .

[12]  T. Hanihara,et al.  Effects of an Asian-specific nonsynonymous EDAR variant on multiple dental traits , 2012, Journal of Human Genetics.

[13]  D. Altshuler,et al.  A map of human genome variation from population-scale sequencing , 2010, Nature.

[14]  G. Farrell Drugs and Steatohepatitis , 2002, Seminars in liver disease.

[15]  Mark Daly,et al.  Haploview: analysis and visualization of LD and haplotype maps , 2005, Bioinform..

[16]  P. McKeigue,et al.  EUDRAGENE: European collaboration to establish a case-control DNA collection for studying the genetic basis of adverse drug reactions. , 2006, Pharmacogenomics.

[17]  Yusuke Nakamura,et al.  Large-scale single-nucleotide polymorphism (SNP) and haplotype analyses, using dense SNP Maps, of 199 drug-related genes in 752 subjects: the analysis of the association between uncommon SNPs within haplotype blocks and the haplotypes constructed with haplotype-tagging SNPs. , 2004, American journal of human genetics.

[18]  T. Hanihara,et al.  A common variation in EDAR is a genetic determinant of shovel-shaped incisors. , 2009, American journal of human genetics.

[19]  Katsushi Tokunaga,et al.  A scan for genetic determinants of human hair morphology: EDAR is associated with Asian hair thickness. , 2008, Human molecular genetics.

[20]  Yusuke Nakamura,et al.  Genome-wide association study of hematological and biochemical traits in a Japanese population , 2010, Nature Genetics.

[21]  Yusuke Nakamura,et al.  Genome-wide association study identifies HLA-A ∗ 3101 allele as a genetic risk factor for carbamazepine-induced cutaneous adverse drug reactions in Japanese population , 2022 .

[22]  T. Tsunoda,et al.  A replication study confirmed the EDAR gene to be a major contributor to population differentiation regarding head hair thickness in Asia , 2008, Human Genetics.

[23]  C. Sotozono,et al.  A whole-genome association study of major determinants for allopurinol-related Stevens–Johnson syndrome and toxic epidermal necrolysis in Japanese patients , 2011, The Pharmacogenomics Journal.

[24]  Toshihiro Tanaka The International HapMap Project , 2003, Nature.

[25]  Yusuke Nakamura,et al.  Japanese population structure, based on SNP genotypes from 7003 individuals compared to other ethnic groups: effects on population-based association studies. , 2008, American journal of human genetics.

[26]  Zhaohui S. Qin,et al.  Genome-wide detection and characterization of positive selection in human populations , 2007 .

[27]  C. Moore,et al.  Association between presence of HLA-B*5701, HLA-DR7, and HLA-DQ3 and hypersensitivity to HIV-1 reverse-transcriptase inhibitor abacavir , 2002, The Lancet.

[28]  Life Technologies,et al.  A map of human genome variation from population-scale sequencing , 2011 .

[29]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.