<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14</volume><submitter>Zhang F</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Y haplogroup analyses are an important component of genealogical reconstruction, population genetic analyses, medical genetics and forensics. These fields are increasingly moving towards use of low-coverage, high throughput sequencing. While there have been methods recently proposed for assignment of Y haplogroups on the basis of high-coverage sequence data, assignment on the basis of low-coverage data remains challenging.&lt;h4>Results&lt;/h4>We developed a new algorithm, YHap, which uses an imputation framework to jointly predict Y chromosome genotypes and assign Y haplogroups using low coverage population sequence data. We use data from the 1000 genomes project to demonstrate that YHap provides accurate Y haplogroup assignment with less than 2x coverage.&lt;h4>Conclusions&lt;/h4></pubmed_abstract><journal>BMC bioinformatics</journal><pagination>331</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4225519</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>YHap: a population model for probabilistic assignment of Y haplogroups from re-sequencing data.</pubmed_title><pmcid>PMC4225519</pmcid><pubmed_authors>Li G</pubmed_authors><pubmed_authors>Zhang F</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Yu C</pubmed_authors><pubmed_authors>Coin LJ</pubmed_authors><pubmed_authors>Liu D</pubmed_authors><pubmed_authors>Yao X</pubmed_authors><pubmed_authors>Jin Y</pubmed_authors><pubmed_authors>Chen R</pubmed_authors></additional><is_claimable>false</is_claimable><name>YHap: a population model for probabilistic assignment of Y haplogroups from re-sequencing data.</name><description>&lt;h4>Background&lt;/h4>Y haplogroup analyses are an important component of genealogical reconstruction, population genetic analyses, medical genetics and forensics. These fields are increasingly moving towards use of low-coverage, high throughput sequencing. While there have been methods recently proposed for assignment of Y haplogroups on the basis of high-coverage sequence data, assignment on the basis of low-coverage data remains challenging.&lt;h4>Results&lt;/h4>We developed a new algorithm, YHap, which uses an imputation framework to jointly predict Y chromosome genotypes and assign Y haplogroups using low coverage population sequence data. We use data from the 1000 genomes project to demonstrate that YHap provides accurate Y haplogroup assignment with less than 2x coverage.&lt;h4>Conclusions&lt;/h4></description><dates><release>2013-01-01T00:00:00Z</release><publication>2013 Nov</publication><modification>2026-05-02T09:45:16.681Z</modification><creation>2026-04-07T17:53:06.252Z</creation></dates><accession>S-EPMC4225519</accession><cross_references><pubmed>24252171</pubmed><doi>10.1186/1471-2105-14-331</doi></cross_references></HashMap>