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Derived dataset for each sample: fraction of genome altered by 1: copy number change 2. number of mutations #1
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question: is there any background on the cutoff of 0.2 ? |
in gbm, classify PTEN using 0.2, there is 84% samples with PTEN deletion. Is this about right? http://dev.xenabrowser.net/heatmap/?bookmark=a05f9847421717d27d5e6fa60a67e79b http://dev.xenabrowser.net/heatmap/?bookmark=723e4cd313b2380869a255f5dde62171 |
“In a diploid genome, a single-copy gain in a perfectly pure, homogeneous sample has a copy ratio of 3/2. In log2 scale, this is log2(3/2) = 0.585, and a single-copy loss is log2(1/2) = -1.0.” However, most tumors are heterogeneous (clonal tumor populations) and have some normal stroma. Therefore, the sample’s purity and heterogeneity need to be considered so alterations are not missed, meaning a lower threshold. I have also seen a lot of cancer focused publications using 0.2 as a threshold. I am guessing 0.2 is used of these reasons. The frequency of a PTEN deletion (one or both alleles) in GBM is 89% (514/577). |
Dear jingchunzhu, |
Build derived datasets:
for each sample: fraction of genome altered by copy number change
for each sample: number of mutations
Hi,
Would you guys be able to create track for fraction of genome altered by 1: copy number change and 2: number of mutations for each TCGA cohort or for the pan cancer? It used to be available in cBioPortal. The number of mutations per sample is still available but fraction of the genome altered by copy number is no longer available. Someone from MSKCC is working on getting that live again. Or is there a way to generate this data from downloading it form Xena and calculating it myself?
Thanks,
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