maftools: math.score – R documentation

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math.score

calculates MATH (Mutant-Allele Tumor Heterogeneity) score.

Description

calcuates MATH scores from variant allele frequencies. Mutant-Allele Tumor Heterogeneity (MATH) score is a measure of intra-tumor genetic heterogeneity. High MATH scores are related to lower survival rates. This function requies vafs.

Usage

math.score(maf, vafCol = NULL, sampleName = NULL, vafCutOff = 0.075)

Arguments

`maf`	an `MAF` object generated by `read.maf`
`vafCol`	manually specify column name for vafs. Default looks for column 't_vaf'
`sampleName`	sample name for which MATH score to be calculated. If NULL, calculates for all samples.
`vafCutOff`	minimum vaf for a variant to be considered for score calculation. Default 0.075

Value

data.table with MATH score for every Tumor_Sample_Barcode

References

Mroz, Edmund A. et al. Intra-Tumor Genetic Heterogeneity and Mortality in Head and Neck Cancer: Analysis of Data from The Cancer Genome Atlas. Ed. Andrew H. Beck. PLoS Medicine 12.2 (2015): e1001786.

Examples

laml.maf <- system.file("extdata", "tcga_laml.maf.gz", package = "maftools")
laml <- read.maf(maf = laml.maf)
laml.math <- math.score(maf = laml, vafCol = 'i_TumorVAF_WU',
sampleName = c('TCGA-AB-3009', 'TCGA-AB-2849', 'TCGA-AB-3002', 'TCGA-AB-2972'))

maftools

Summarize, Analyze and Visualize MAF Files

v2.6.05

MIT + file LICENSE

Authors

Anand Mayakonda [aut, cre] (<https://orcid.org/0000-0003-1162-687X>)

Initial release

2015-12-14