LAVA (Lightweight Assignment of Variant Alleles) is an NGS-based genotyping algorithm for a given set of SNP loci, which takes advantage of the fact that inexact matching of mid-size k-mers (with k = 32) can typically uniquely identify loci in the human genome without full read alignment.
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Ariya Shajii, Deniz Yorukoglu, Yun William Yu, Bonnie Berger;
Fast genotyping of known SNPs through approximate k-mer matching.
Bioinformatics 2016; 32(17): i538-i544. doi: 10.1093/bioinformatics/btw460