bioRxivBioinformaticsPreprint
Minos: variant adjudication and joint genotyping of cohorts of bacterial genomes
Martin HuntiD, Brice LetcheriD, Kerri M. MaloneiD, G. Nguyen, Michael B. HalliD, Rachel ColquhouniD, Leandro LimaiD, Michael C. SchatziD, Srividya RamakrishnaniD, Zamin IqbaliD
Abstract
Short-read variant calling for bacterial genomics is a mature field, and there are many widely-used software tools. Different underlying approaches (eg pileup, local or global assembly, paired-read use, haplotype use) lend each tool different strengths, especially when considering non-SNP (single nucleotide polymorphism) variation or potentially distant reference genomes. It would therefore be valuable to be able to integrate the results from multiple variant callers, using a robust statistical approach to "adjudicate" at loci where there is disagreement between callers. To this end, we present a tool, Minos, for variant adjudication by mapping reads to a genome graph of variant calls. Minos allows users to combine output from multiple variant callers without loss of precision. Minos also addresses a second problem of joint genotyping SNPs and indels in bacterial cohorts, which can also be framed as an adjudication problem. We benchmark on 62 samples from 3 species (Mycobacterium tuberculosis, Staphylococcus aureus, Klebsiella pneumoniae) and an outbreak of 385 M. tuberculosis samples. Finally, we joint genotype a large M. tuberculosis cohort (N{approx}15k) for which the rifampicin phenotype is known. We build a map of non-synonymous variants in the RRDR (rifampicin resistance determining region) of the rpoB gene and extend current knowledge relating RRDR SNPs to heterogeneity in rifampicin resistance levels. We replicate this finding in a second M. tuberculosis cohort (N{approx}13k). Minos is released under the MIT license, available at https://github.com/iqbal-lab-org/minos.
- organism: bacteria (other)
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: variant effect prediction
- research focus: benchmarking
- research focus: database / resource
- approach: statistical model
- Citations
- 7
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