Question: Simulating Sequences From Simulated Svs At Different Cellular Frequencies
gravatar for Aaronquinlan
6.4 years ago by
United States
Aaronquinlan10k wrote:


I would like to model the performance of a structural variant (SV) caller that is being developed in my lab for NGS technologies. One of its strengths is the ability to integrate all available alignment "signals" (e.g., discordant alignments, split-reads, etc.) when calling SVs, and as such, we observe big gains in sensitivity.

To demonstrate the utility of the software in the context of cancer genomics, we would like to demonstrate the ability to detect SVs at different frequencies (e.g. found in 0.1%, 1%, 2%, 5%, 20%, etc.) among the tumor cells and at different overall sequencing depths (e.g., 5X, 10X, 20X). For example, we want to assess our power to detect SVs at 5% frequency in the tumor with 20X coverage and compare this sensitivity to other tools.

The Question

Now, we have the ability to simulate a FASTA file with chromosomes having variants at different frequencies. For example, to simulate a variant present in 10% of the cells, one could create a FASTA file with 9 copies of the wild-type chromosome and 1 copy of the mutant chrom containing the SV.

My question is what read simulation tools can be used to guarantee that, if we ask for say 20X coverage, the 10 versions of the chromosome above are sampled from randomly. In essence we want to ensure that we don't have false negatives owing to a lack of data for the mutant chromosomes - we want to measure algorithmic false negatives, not data false negatives.

Is there a read simulation tool that can handle this? Will wgsim work?

Also, if you can think of a better way to do the simulation or a tool that is specifically designed to do this, I would be grateful to know of it.

simulation sequencing • 1.8k views
ADD COMMENTlink modified 6.4 years ago by Chris Whelan550 • written 6.4 years ago by Aaronquinlan10k
gravatar for Chris Whelan
6.4 years ago by
Chris Whelan550
Portland, OR
Chris Whelan550 wrote:

Can you just sample using dwgsim or wgsim from the wild-type chromosome at 18X coverage and from the mutant at 2X coverage and then pool the reads together? That's what I've been doing to model heterozygous variants - simulating equal number of reads from each haplotype chromosome. dwgsim (and possibly wgsim) has a -H flag to indicate that you only want it to introduce point mutations on a haploid basis, which you'd want to use in that scenario.

ADD COMMENTlink written 6.4 years ago by Chris Whelan550

I see, so create two separate FASTA files - one for the mutant, one for the wild-type. Sample from each and pool? I like that - much simpler than what I was thinking. I was unaware of dwgsim - since I only want to model sensitivity for SVs, do you know if one sets -r to 0.0 it will inject 0 SNPs?

ADD REPLYlink written 6.4 years ago by Aaronquinlan10k

Right, -r is the mutation rate so if it's zero it should add no SNPs and indels (at least according to my understanding of how it works). In that case I guess the -H flag wouldn't matter either, since I think that only affects whether it models heterozygous mutations or not.

ADD REPLYlink written 6.4 years ago by Chris Whelan550

I think the only issue that remains is that there is no guarantee that a read spanning the SV breakpoint will be sampled from the mutant chrom, especially at lower coverages. As such, are the coordinates from which the read was sampled in the name field for the resulting sample such that one can check to make sure the breakpoint was sampled (to rule out data FNs from alg. FNs)?

ADD REPLYlink written 6.4 years ago by Aaronquinlan10k

That's true, at low coverage you'll probably miss some breaks. The read names do have coordinates in the FASTA file they were generated from, and you can add a prefix to the read name with -P so that you can label which FASTA file they came from; I've been using this and it works pretty well. If you have lots of SVs it can be tricky to map the read generation coordinates back to a reference coordinate; that's the only hard part.

ADD REPLYlink written 6.4 years ago by Chris Whelan550
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