Thanks Kevin, I will try to share this information with my colleagues,!!!!
Hi,
I am wondering how to validate / confirm the existence of inversion region in other WGS samples?
For example, in one of my patient's WGS sample, I identified an inversion. Now, I want to see whether this inversion exists in other WGS samples of healthy individuals or not (I have a control dataset of around 200 WGS samples).
Deletion regions can be checked in control WGS samples by looking at their coverage, but I could not apply the same concept on inversion region.
So, how to check inversions in control samples?
Thanks in advance,
Waqas.
1 answer
Hello Waqas,
- Standard PCR. Design separate PCR primers whose target sequences are the breakpoints for the wild-type and the inversion, respectively, and then test in the lab. If the inversion is a false-positive, then the primers for the inversion should not amplify any sequence.
- MLPA. You could also set-up an experiment using MLPA (Multiplex ligation-dependent probe amplification), where the probes target the breakpoint
- Real-time PCR. Design common PCR primers outside of the breakpoint but make the probe sequences specific for the breakpoint in the wild-type and inversion.
- Sanger. Also by designing common primers outside of the beakpoint, you could just do Sanger sequencing.
Finally, read this: Validation and Genotyping of Multiple Human Polymorphic Inversions Mediated by Inverted Repeats Reveals a High Degree of Recurrence .
Kevin
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How did you find the inversion in the first place?
By delly,
as far as running delly on control samples is concerned, I have only subset of those bam files (means around my inversion region), and when I run delly, empty bcf file is generated. Might delly needs at least full chromosome......
Any thing which I can do?