Literature DB >> 30272537

Pharmacogenetic content of commercial genome-wide genotyping arrays.

Louis-Philippe Lemieux Perreault1,2, Nabil Zaïd1,2,3, Michel Cameron1,2,4, Ian Mongrain1,2, Marie-Pierre Dubé1,2,5.   

Abstract

AIM: We have evaluated the pharmacogenetic content of commercial human genome-wide genotyping arrays, as it is a critical determinant to enabling pharmacogenomic discoveries.
METHODS: Using bioinformatics approaches, we assessed 27,811 genetic variants in 3146 genes for their presence in 18 Illumina and 15 Affymetrix genome-wide arrays.
RESULTS: The pharmacogenetic content of the arrays varied greatly. The combination of the Affymetrix precision medicine array and PharmacoScan arrays (Affymetrix) had the highest coverage for a set of clinically actionable absorption, distribution, metabolism and excretion (ADME) variants, single nucleotide ADME variants and ADME insertions/deletions, with a physical coverage of 125/130 (96.2%), 9924/24,138 (41.1%) and 2252/3994 (56.4%), respectively.
CONCLUSION: The combination of the Affymetrix precision medicine array and PharmacoScan arrays provided both genome-wide and pharmacogene coverage, which is crucial in the discovering of new variants responsible for drug adverse effects. These results will help in the design of pharmacogenomic studies and will enable a critical review of results from past studies.

Entities:  

Keywords:  ADME; GWAS; genotyping arrays; linkage disequilibrium; pharmacogenomics

Mesh:

Year:  2018        PMID: 30272537     DOI: 10.2217/pgs-2017-0129

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  2 in total

1.  Identification of CYP2D6 Haplotypes that Interfere with Commonly Used Assays for Copy Number Variation Characterization.

Authors:  Amy J Turner; Praful Aggarwal; Erin C Boone; Cyrine-Eliana Haidar; Mary V Relling; Ashley D Derezinski; Ulrich Broeckel; Andrea Gaedigk
Journal:  J Mol Diagn       Date:  2021-02-22       Impact factor: 5.568

2.  Array genotyping as diagnostic approach in medical genetics.

Authors:  Martina Witsch-Baumgartner; Gunda Schwaninger; Simon Schnaiter; Franziska Kollmann; Silja Burkhard; Rebekka Gröbner; Beatrix Mühlegger; Esther Schamschula; Peter Kirchmeier; Johannes Zschocke
Journal:  Mol Genet Genomic Med       Date:  2022-08-01       Impact factor: 2.473

  2 in total

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