Difference between revisions of "NGS"
Farmakorakel (talk | contribs) (→Challenges) |
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| University of Washington || [https://doi.org/10.1097/FPC.0000000000000202 PGRNseq: A Targeted Capture Sequencing Panel for Pharmacogenetic Research and Implementation] || Targeted PGx panel with 84 genes | | University of Washington || [https://doi.org/10.1097/FPC.0000000000000202 PGRNseq: A Targeted Capture Sequencing Panel for Pharmacogenetic Research and Implementation] || Targeted PGx panel with 84 genes | ||
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+ | | University of Tartu || [https://doi.org/10.1101/356204 Translating genotype data of 44,000 biobank participants into clinical pharmacogenetic recommendations: challenges and solutions] || Well-described pipeline for PGx on biobank data | ||
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Revision as of 08:41, 23 August 2018
Next Generation Sequencing (NGS) is an interesting technology for PGx
A nice overview of the Requirements for comprehensive pharmacogenetic genotyping platforms was published by Volker Lauschke et al. They claim that rare variants account for 30-40% of functional variability in PGx. However they argue that pre-emptive PGx should only include validated variants, and rare variants should be investigated only when the patient experience unexpected drug response.
Challenges
- CNV and other haplotype calling is challenging due to short read. NGS requires in silico CNV and haplotype estimation. Haplotype calling can e.g. be performed by Beagle.
- Variants in homologous regions are hard to capture. Notably, the genes CYP2D6 and CYP2A6 are challenging.
- HLA-typing require special software, e.g. Polysolver for whole exome sequencing (WES) or OptiType for whole genome sequencing (WGS)
Publications
Institution | Article | Comments |
---|---|---|
St. Jude Children’s Research Hospital | Comparison of Genome Sequencing and Clinical Genotyping for Pharmacogenes | WES and WGS can be used for PGx with in silico CNV calling and HLA calling |
National Human Genome Research Institute | Assessing the capability of massively parallel sequencing for opportunistic pharmacogenetic screening | Suggests developing tools for PGx based on WES and WGS |
University of Washington | PGRNseq: A Targeted Capture Sequencing Panel for Pharmacogenetic Research and Implementation | Targeted PGx panel with 84 genes |
University of Tartu | Translating genotype data of 44,000 biobank participants into clinical pharmacogenetic recommendations: challenges and solutions | Well-described pipeline for PGx on biobank data |