Name
Title | ||
|---|---|---|
YHap: a population model for probabilistic assignment of Y haplogroups from re-sequencing data. |
Abstract | ||
|---|---|---|
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.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.Borrowing information across multiple samples within a population using an imputation framework enables accurate Y haplogroup assignment. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1186/1471-2105-14-331 | BMC Bioinformatics |
Keywords | Field | DocType |
genetic variation,microarrays,genotype,haplotypes,algorithms,bioinformatics,predictive value of tests,mutation,probability | Population,Biology,Haplogroup,Haplotype,Medical genetics,DNA sequencing,Bioinformatics,Probabilistic logic,Genetics,Human Y-chromosome DNA haplogroup,Population model | Journal |
Volume | Issue | ISSN |
14 | 1 | 1471-2105 |
Citations | PageRank | References |
5 | 0.34 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fan Zhang | 1 | 5 | 0.34 |
| Ruoyan Chen | 2 | 5 | 0.34 |
| Dongbing Liu | 3 | 5 | 0.34 |
| Xiaotian Yao | 4 | 5 | 0.68 |
| Guoqing Li | 5 | 19 | 2.09 |
| Yabin Jin | 6 | 5 | 0.34 |
| Chang Yu | 7 | 332 | 20.83 |
| Yingrui Li | 8 | 554 | 72.28 |
| Lachlan J.M. Coin | 9 | 60 | 6.08 |