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  1. Dalan R, Liew H, Goh LL, Gao X, Chew DE, Boehm BO, et al.
    Diab Vasc Dis Res, 2016 09;13(5):373-6.
    PMID: 27190085 DOI: 10.1177/1479164116645247
    The haptoglobin 2-2 genotype is associated with atherosclerosis in type 2 diabetes mellitus. We examined the associations of the haptoglobin 2-2 genotype with C-reactive protein (high-sensitivity C-reactive protein) and carotid artery intima-media thickness, adjusting for age, gender, ethnicity, type 2 diabetes mellitus, smoking status, body mass index, blood pressure, glycated haemoglobin, non-high-density lipoprotein cholesterol and medications via logistic multivariate regression in 200 subjects (160 type 2 diabetes mellitus versus 40 healthy individuals). The prevalence of the haptoglobin 2-2 genotype was 58% (115/200), higher in the Indians than in Chinese (72% versus 45%, p = 0.001). Multivariate analysis showed that the haptoglobin 2-2 genotype was associated with high-sensitivity C-reactive protein [mean: 3.5 ± 3.9 versus 2.2 ± 2.6 mg/L (non-haptoglobin 2-2), p 
  2. Goh LL, Lim CW, Sim WC, Toh LX, Leong KP
    PLoS One, 2017;12(1):e0169233.
    PMID: 28046094 DOI: 10.1371/journal.pone.0169233
    BACKGROUND: Genetic determinants of drug response remain stable throughout life and offer great promise to patient-tailored drug therapy. The adoption of pharmacogenetic (PGx) testing in patient care requires accurate, cost effective and rapid genotyping with clear guidance on the use of the results. Hence, we evaluated a 32 SNPs panel for implementing PGx testing in clinical laboratories.

    METHODS: We designed a 32-SNP panel for PGx testing in clinical laboratories. The variants were selected using the clinical annotations of the Pharmacogenomics Knowledgebase (PharmGKB) and include polymorphisms of CYP2C9, CYP2C19, CYP2D6, CYP3A5 and VKORC1 genes. The CYP2D6 gene allele quantification was determined simultaneously with TaqMan copy number assays targeting intron 2 and exon 9 regions. The genotyping results showed high call rate accuracy according to concordance with genotypes identified by independent analyses on Sequenome massarray and droplet digital PCR. Furthermore, 506 genomic samples across three major ethnic groups of Singapore (Malay, Indian and Chinese) were analysed on our workflow.

    RESULTS: We found that 98% of our study subjects carry one or more CPIC actionable variants. The major alleles detected include CYP2C9*3, CYP2C19*2, CYP2D6*10, CYP2D6*36, CYP2D6*41, CYP3A5*3 and VKORC1*2. These translate into a high percentage of intermediate (IM) and poor metabolizer (PM) phenotypes for these genes in our population.

    CONCLUSION: Genotyping may be useful to identify patients who are prone to drug toxicity with standard doses of drug therapy in our population. The simplicity and robustness of this PGx panel is highly suitable for use in a clinical laboratory.

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