Pharmacogenomics (PGx) studies the impact of interindividual genomic variation on drug response, allowing the opportunity to tailor the dosing regimen for each patient. Current targeted PGx testing platforms are mainly based on microarray, polymerase chain reaction, or short-read sequencing. Despite demonstrating great value for the identification of single nucleotide variants (SNVs) and insertion/deletions (INDELs), these assays do not permit identification of large structural variants, nor do they allow unambiguous haplotype phasing for star-allele assignment. Here, we used Oxford Nanopore Technologies' adaptive sampling to enrich a panel of 1,036 genes with well-documented PGx relevance extracted from the Pharmacogenomics Knowledge Base (PharmGKB). By evaluating concordance with existing truth sets, we demonstrate accurate variant and star-allele calling for five Genome in a Bottle reference samples. We show that up to three samples can be multiplexed on one PromethION flow cell without a significant drop in variant calling performance, resulting in 99.35% and 99.84% recall and precision for the targeted variants, respectively. This work advances the use of nanopore sequencing in clinical PGx settings.
机构:
Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Pregnancy Res Branch, Div Obstet & Maternal Fetal Med, Div Intramural Res,NIH,US Dept Hlth & Human Serv, Bethesda, MD 20892 USA
Univ Michigan, Dept Obstet & Gynecol, Ann Arbor, MI 48109 USA
Michigan State Univ, Dept Epidemiol & Biostat, E Lansing, MI 48824 USAMahidol Univ, Fac Med, Dept Obstet & Gynecol, Ramathibodi Hosp, Bangkok, Thailand
Romero, Roberto
Wongsurawat, Thidathip
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Mahidol Univ, Fac Med, Res Dept, Div Med Bioinformat,Siriraj Hosp, Bangkok, Thailand
Mahidol Univ, Fac Med, Siriraj Hosp, Siriraj Long Read Lab Si LoL, 2 Wanglang Rd, Bangkok 10700, Thailand
Univ Arkansas Med Sci, Dept Biomed Informat, Little Rock, AR USAMahidol Univ, Fac Med, Dept Obstet & Gynecol, Ramathibodi Hosp, Bangkok, Thailand
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Virginia Tech, Genet Bioinformat & Computat Biol Program, Blacksburg, VA USA
Virginia Tech, Sch Plant & Environm Sci, Blacksburg, VA USAVirginia Tech, Genet Bioinformat & Computat Biol Program, Blacksburg, VA USA
Aguilera, M.
Sharma, P.
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Virginia Tech, Genet Bioinformat & Computat Biol Program, Blacksburg, VA USA
Virginia Tech, Sch Plant & Environm Sci, Blacksburg, VA USAVirginia Tech, Genet Bioinformat & Computat Biol Program, Blacksburg, VA USA
Sharma, P.
Llontop, M. E. Mechan
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Virginia Tech, Sch Plant & Environm Sci, Blacksburg, VA USAVirginia Tech, Genet Bioinformat & Computat Biol Program, Blacksburg, VA USA
Llontop, M. E. Mechan
Yang, S.
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Virginia Tech, Sch Plant & Environm Sci, Blacksburg, VA USAVirginia Tech, Genet Bioinformat & Computat Biol Program, Blacksburg, VA USA
Yang, S.
Li, S.
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Virginia Tech, Sch Plant & Environm Sci, Blacksburg, VA USAVirginia Tech, Genet Bioinformat & Computat Biol Program, Blacksburg, VA USA
Li, S.
Vinatzer, B. A.
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Virginia Tech, Sch Plant & Environm Sci, Blacksburg, VA USAVirginia Tech, Genet Bioinformat & Computat Biol Program, Blacksburg, VA USA