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Detection of CNVs

After calculating each exon coverage using Depth of Coverage module in GATK, how to normalize each exon depth and calculate copy number ratio?

cnvs gatk

2 answers

There are multiple possible solutions. I would suggest having a look at published algorithms, and a good place to start would be https://omictools.com/cnv-detection2-category

More precisely, XHMM starts from coverage depth calculated by GATK. But there are multiple other tools (exomeCopy, codex, conifer,...)

Thanks a lot and XHMM seems to a good option for me..

The key point of CNV detection is you have to make a baseline from controls, and do the normalization based on the baseline.

As I want to find the CNVs from exomes of patients with Mendelian inheritance, any normal individual exome can be taken as a control? Does it make sense when two different patients are taken as control and normal?

You can use several healthy people's exomes as control.

But the data has to be obtained by the same library prep (kit) and sequencer to be comparable.

Yes, so if you want to call CNV accurately, you have to sequence some healthy people with the same kit, using the same wet lab protocols.

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