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How to understand somatic mutation of ICGC data

I am new to process somatic mutation by ICGC data. In simple_somatic_mutation.aggregated.vcf.gz(https://dcc.icgc.org/releases/current/Summary), I got vcf format file. Every Mutation ID in the data annotated how many donor affected. Is this the mutation number? When I wanted more detail data, only .tsv file provided. I am also confused about there are a number of same Mutation ID. I mean, in a sample, why there are more than one record at same chromosome loci?

For example,https://dcc.icgc.org/donors/DO51576, this donor has a mutation ID MU28652212. It just affected one donor Across all Projects, while in .tsv file of project LUSC-CN, there are 5 rows of MU28652212. When I compute the mutation counts, should I treat it as 1 mutation or 5 mutation?

Please help.

somatic mutation icgc genome

This is because 5 transcripts are affected by mutation MU28652212. You need to prioritize a transcript out of 5. One way to do this is use maf2maf which will do this for you. You can use mafttols to convert ICGC simple somatic mutation format to MAF and further process them (apologies for shameless promotion)

Hello, I am wondering what reference genome verison and gene model need to do maf2maf for ICGC simple somatic mutation format. I test GRCh37.69, GRCh37.75 and GRCh37.102, and all these didn't work at all. (messages are like this: [faidx] Failed to fetch sequence in 38078819:38078818-38078820 ERROR: Make sure that ref-fasta is the same genome build as your MAF)

1 answer

'Donor affected' means how many donors/patients carry this mutation.

ICGC mainly provides data in tabular format (tsv).

Duplicates of the same 'Mutation ID' exist because this mutation affects multiple genes/transcripts. With respect to your example, it should be 1 mutation. You can also refer to this doc for another example.

Thanks! If I wanted to compute the mutation spectrum, should I merge the same rows of same mutation ID in a sample into 1 mutation?

I think so. If you only care about the mutation within a sample, it's ok because duplicate IDs record the same mutated position, chromosome, reference allele, alter allele.

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