Y-SNP Haplogroup Hierarchy Finder: a web tool for Y-SNP haplogroup assignment

Bill Tseng, Hsiao Lin Hwa, Chun Yen Lin, Yu Jen Yu, Adrian Linacre, James Chun I. Lee

Research output: Contribution to journalArticlepeer-review

Abstract

The application of massively parallel sequencing (MPS) data from whole genomes has allowed very many more Y-SNP loci to be genotyped simultaneously than previously possible. Although this greatly increases the resolution of Y-SNP haplogroups to link common ancestors, it remains a great challenge to provide a phylogenetic tree to clearly display the relationship of varying haplogroups. Y-SNP Haplogroup Hierarchy Finder is a web tool to generate hierarchical haplogroups based on Y-SNP data with the derived allele at the terminal of a haplogroup tree. The input data can include that from whole-genome sequencing. Confidence in assignment using Y-SNP Haplogroup Hierarchy Finder was demonstrated using Y-SNP genotypes of 1233 samples, sourced from the 1000 genomes project phase 3, used to generate the expected haplogroups. The outcome includes 2 reports: a ‘Haplogroup Report’ lists mutation types from the submitted Y-SNPs and their corresponding haplogroups, and a ‘Haplogroup Hierarchy Report’ lists all possible hierarchical haplogroups and ranks the three most supported haplogroups. Each layer of the descending haplogroups from one step to the next is shown and the supporting numbers of Y-SNPs are also included in these reports. All haplogroups that exhibited a clear relationship between the ancestral through to the derived SNPs can be clustered into a hierarchy of haplogroups. The assigned 1233 haplogroups were compared with 2 other software programs designed to assemble haplogroups, which resulted in one where there were many differences and the other one where there was only minor difference. The advantage of this web-based tool is that it provides an easy way to assign Y-SNP haplogroup based on the visualized hierarchical pattern.

Original languageEnglish
Number of pages7
JournalJOURNAL OF HUMAN GENETICS
Early online date28 Mar 2022
DOIs
Publication statusE-pub ahead of print - 28 Mar 2022

Keywords

  • Genomic analysis
  • Population genetics

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