HP MR-0040.008 Fap mastr Datasheet

FAP MASTR
Research Application
– 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
Genomic region analyzed
Number of amplicons
Amplicon length
Number of plexes
Designed to be compatible with
full coding region of APC and MUTYH
14.7 kb
52
245-455 bp
3
Illumina MiSeq
Performance
Uniformity of amplification
(0.2x mean coverage)
99.7 %
On target read count
> 96 %
DNA input
Number of samples/run
(20 reads/allele):
*only 192 MID combinations available.
as low as 20 ng per plex reaction
Illumina MiSeq V2: 1,200*
Illumina MiSeq V3: 2,200*
Performance cont.
14%
Percentage of amplicons
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.
*3’ UTR of EPCAM only
12%
10%
8%
6%
4%
2%
Read counts
MASTR Workflow
Multiplex PCR
Plan run
Multiplex PCR
Dilution
Quality Control
Mixing Clean up
Universal PCR
Universal PCR
Quality Control
Pooling
NGS
SEQUENCING
Mixing plexes of
single sample
Purification
Ordering Information
Cat. No.
Product Name
Reactions
MR-0040.008
FAP MASTR
3
• MID (Molecular Identifiers) kits are necessary to complete the workflow
www.agilent.com
Not for EU
[email protected]
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
Equimolar
pooling
DATA ANALYSIS
400
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60
40
0
20
0%
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