33 research outputs found

    A pathway-driven predictive model of tramadol pharmacogenetics

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    Predicting metabolizer phenotype (MP) is typically performed using data from a single gene. Cytochrome p450 family 2 subfamily D polypeptide 6 (CYP2D6) is considered the primary gene for predicting MP in reference to approximately 30% of marketed drugs and endogenous toxins. CYP2D6 predictions have proven clinically effective but also have well-documented inaccuracies due to relatively high genotype-phenotype discordance in certain populations. Herein, a pathway-driven predictive model employs genetic data from uridine diphosphate glucuronosyltransferase, family 1, polypeptide B7 (UGT2B7), adenosine triphosphate (ATP)-binding cassette, subfamily B, number 1 (ABCB1), opioid receptor mu 1 (OPRM1), and catechol-O-methyltransferase (COMT) to predict the tramadol to primary metabolite ratio (T:M1) and the resulting toxicologically inferred MP (t-MP). These data were then combined with CYP2D6 data to evaluate performance of a fully combinatorial model relative to CYP2D6 alone. These data identify UGT2B7 as a potentially significant explanatory marker for T:M1 variability in a population of tramadol-exposed individuals of Finnish ancestry. Supervised machine learning and feature selection were used to demonstrate that a set of 16 loci from 5 genes can predict t-MP with over 90% accuracy, depending on t-MP category and algorithm, which was significantly greater than predictions made by CYP2D6 alone.Peer reviewe

    Sequence data of six unusual alleles at SE33 and D1S1656 STR Loci

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    When profiling a reference dataset of 500 DNA samples for the population of Saudi Arabia, using the GlobalFiler® PCR amplification kit, six unusual alleles were detected. At the SE33 locus, four novel alleles were found: 2, 14.3, 20.3, and 38; two alleles, at the D1S1656 locus: 7 and 8, had been previously reported, but no published sequence data was available. The D1S1656 alleles were sequenced using ForenSeq™ DNA Signature Prep with the MiSeq FGx System (Illumina, USA). As the SE33 is not reported by available Massively Parallel Sequencing (MPS) systems, samples that exhibited the unreported alleles were sequenced using BigDye™ Terminator v3.1 Cycle Sequencing Kit. Here we present the sequence and structure of the previously uncharacterized alleles

    Chronic Autoimmune Meningoencephalitis and Periodic Fever Syndrome Treated with Anakinra

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    We report the case of a 63-year-old male diagnosed with chronic autoimmune mediated meningoencephalitis and periodic cyclical fever syndrome. After 2 years of failed conventional treatment and recurrent hospitalizations, anakinra treatment (an interleukin-1 [IL-1] receptor antagonist) was trialed which resulted in full recovery. As evidenced by this case, anakinra can be used to treat chronic autoimmune meningitis, which can often be refractory to treatment

    Novel Y-chromosome Short Tandem Repeat Variants Detected Through the Use of Massively Parallel Sequencing

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    Massively parallel sequencing (MPS) technology is capable of determining the sizes of short tandem repeat (STR) alleles as well as their individual nucleotide sequences. Thus, single nucleotide polymorphisms (SNPs) within the repeat regions of STRs and variations in the pattern of repeat units in a given repeat motif can be used to differentiate alleles of the same length. In this study, MPS was used to sequence 28 forensically-relevant Y-chromosome STRs in a set of 41 DNA samples from the 3 major U.S. population groups (African Americans, Caucasians, and Hispanics). The resulting sequence data, which were analyzed with STRait Razor v2.0, revealed 37 unique allele sequence variants that have not been previously reported. Of these, 19 sequences were variations of documented sequences resulting from the presence of intra-repeat SNPs or alternative repeat unit patterns. Despite a limited sampling, two of the most frequently-observed variants were found only in African American samples. The remaining 18 variants represented allele sequences for which there were no published data with which to compare. These findings illustrate the great potential of MPS with regard to increasing the resolving power of STR typing and emphasize the need for sample population characterization of STR alleles
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