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NGS

208 bytes added, 11:24, 28 August 2018
Challenges
==Challenges==
* Bad coverage of pharmacogenes. This most seriously affects WES.
* 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 [http://faculty.washington.edu/browning/beagle/beagle.html Beagle] or [http://dx.doi.org/10.1038/ng.3679 Eagle2] or [https://doi.org/10.1371/journal.pgen.1004234 SHAPEIT].* Variants in homologous regions are hard to capture. Notably, the genes CYP2D6 and CYP2A6 are challenging. The CYP2D6 genotyping tool used by [https://github.com/PharmGKB/PharmCAT/wiki PharmCAT ] is [https://www.nature.com/articles/npjgenmed201639 Astrolabe].* HLA-typing require special software, e.g[https://doi.org/10.1002/cpt.411 Yang et al. ] proposed [https://software.broadinstitute.org/cancer/cga/polysolver Polysolver] for whole exome sequencing (WES) or [https://github.com/FRED-2/OptiType OptiType] for whole genome sequencing (WGS) or . [https://doi.org/10.1101/356204 Reisberg et al.] proposed [https://doi.org/10.1371/journal.pone.0064683 SNP2HLA] for WGS.
==Solutions==