fap mastr research application C for detection of germline variants and snvs in apc and mutyh in blood-derived dna. fap mastr is a disease research panel for the identification of variants in the complete coding regions of the apc and mutyh genes, which are associated with familial adenomatous polyposis (fap). this panel is ready to use and offers robust performance with minimum hands-on time. it consists of all the reagents necessary to enable multiplex amplification of 52 amplicons for complete exon coverage of the apc and mutyh genes. assay characteristics genes analyzed full coding region of apc and mutyh genomic region analyzed 14.7 kb number of amplicons 52 amplicon length 245-455 bp number of plexes 3 designed to be compatible with illumina miseq performance uniformity of amplification (0.2x mean coverage) 99.7 % on target read count > 96 % dna input as low as 20 ng per plex reaction number of samples/run (20 reads/allele): illumina miseq v2: 1,200* illumina miseq v3: 2,200* *only 192 mid combinations available.
www.agilent.com not for eu genomics@agilent.com for research use only. not for use in diagnostic procedures. this information is subject to change without notice. pr7000-0725 ? agilent technologies, inc. 2017 published in the usa, september, 2017 5991-8362enuc ordering information cat. no. product name reactions mr-0040.008 fap mastr 3 ? mid (molecular identifers) kits are necessary to complete the workflow mastr workflow plan run multiplex pcr quality control universal pcr quality control multiplex pcr dilution universal pcr equimolar pooling mixing plexes of single sample purifcation mixing clean up pooling sequencing data analysis ngs 0% 2% 4% 6% 8% 10% 12% 14% percentage of amplicons read counts 0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 *3 utr of epcam only performance cont. graph presenting the read counts for all fap mastr amplicons, showing their outstanding uniform representation. to allow comparison between samples, the read counts were normalized to a coverage of 100. the data is based on 22 samples collected from three centers.
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