ScienceBioinformaticsPeer-reviewed journal article
Genotyping common, large structural variations in 5,202 genomes using pangenomes, the Giraffe mapper, and the vg toolkit
Jouni SiréniD, Jean MonlongiD, Xian H. ChangiD, Adam M. NovakiD, Jordan M. EizengaiD, Charles J. MarkelloiD, Jonas A. SibbeseniD, Glenn HickeyiD, Pi-Chuan ChangiD, Andrew W. CarrolliD, Namrata GuptaiD, Stacey GabrieliD, Thomas W. BlackwelliD, Aakrosh RataniD, Kent D. TayloriD, Stephen S. RichiD, Jerome I. RotteriD, David H. HaussleriD, Erik P. GarrisoniD, Benedict PateniD
Abstract
We introduce Giraffe, a pangenome short read mapper that can efficiently map to a collection of haplotypes threaded through a sequence graph. Giraffe, part of the variation graph toolkit (vg)1, maps reads to thousands of human genomes at around the same speed BWA-MEM2 maps reads to a single reference genome, while maintaining comparable accuracy to VG-MAP, vgs original mapper. We have developed efficient genotyping pipelines using Giraffe. We demonstrate improvements in genotyping for single-nucleotide variants (SNVs), small insertions and deletions (indels) and structural variations (SVs) genome-wide. We use Giraffe to genotype about 167 thousand structural variants ascertained from long read studies in 5,202 human genomes sequenced with short reads, including the complete 1000 Genomes Project dataset, at an average cost of $1.50 per sample. We determine the frequency of these variations in diverse human populations, characterize their complex allelic variations and identify thousands of expression quantitative trait loci (eQTLs) driven by these variations.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 401
- FWCI
- 18.50
- Field percentile
- top 1%
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