Enhancing SNV identification in whole-genome sequencing data through the incorporation of known genetic variants into the minimap2 index.
Guguchkin EgorKasianov ArtemBelenikin MaksimZobkova GaukharKosova EkaterinaVsevolod J MakeevKarpulevich EvgenyPublished in: BMC bioinformatics (2024)
In this paper, we present the minimap2_index_modifier tool, which enables the construction of a modified index of a reference genome using known single nucleotide variants and insertions/deletions (indels) specific to a given human population. The use of the modified minimap2 index improves variant calling quality without modifying the bioinformatics pipeline and without significant additional computational overhead. Using the PrecisionFDA Truth Challenge V2 benchmark data (for HG002 short-read data aligned to the GRCh38 linear reference (GCA_000001405.15) with parameters k = 27 and w = 14) it was demonstrated that the number of false negative genetic variants decreased by more than 9500, and the number of false positives decreased by more than 7000 when modifying the index with genetic variants from the Human Pangenome Reference Consortium.