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The second is that many somatic SNVs identified using next-generation sequencing are unique to the patient, and of questionable relevance to pathogenesis given they are not recurrently identified at a high frequency in other patient samples.
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We compiled 751 genetic variants in human RAG1 gene using 1092 human genomes; where major stockholders of variant classes are 79% single nucleotide polymorphisms (SNPs), 12.2% somatic single nucleotide variants (somatic SNVs) and 6.8% deletion.
In this regard we found 532 non-synonymous somatic SNVs in the additional MSI CRC and only 65, 74 and 76 in the three MSS CRC cases.
Accurate identification of somatic SNVs in WGS data is challenging.
In total, 222 somatic SNVs were called in this region.
Novel somatic SNVs were obtained by removing all LOHs and those SNVs already reported in dbSNP132.
Thus, 1,107 variants (93.4%) were bona fide somatic SNVs.
We enriched for somatic SNVs using a set of minimal filters applied to all predicted SNVs.
We then used the exome data from the tumor lesions to filter for somatic SNVs and found somatic SNV numbers between 716 (tumor C) and 1,589 (LN15).
This result, along with the different properties of somatic and non-validated SNVs, shows that we can accurately validate somatic SNVs using HaloPlex enrichment and deep sequencing.
Therefore, we produced artificially matched tumor-normal samples to call somatic SNVs.
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