Detect exon deletion/duplication from NGS amplicon
Hi,
I would like to detect exon duplication and deletion from NGS with panel amplicon strategy. For example, I have all exons of APC sequenced with an average depth > 100. ( exon 17 is covered by 34 amplicons ) How can I detect deletion of exon 3,4 or 5 ? is there any tool or method ?
My idea is:
- Split the exon region into bins ( or amplicon region )
- Count how many read fall into each bin
- Normalize bin count using %GC Lowess
- use normal sample data to create a model ( machin learning ... )
- Compare unknown sample to my model and check for a significant difference
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1 answer
The approach you described is similar to what CNVkit does -- see the bundled script cnv_ztest.py for single-exon testing.
There are other methods designed specifically for targeted amplicon sequencing that go beyond the above. For example, OncoCNV reportedly works well.
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