| Autor: |
Huff CD; Department of Human Genetics, University of Utah Health Sciences Center, Salt Lake City, Utah 84112, USA., Witherspoon DJ, Simonson TS, Xing J, Watkins WS, Zhang Y, Tuohy TM, Neklason DW, Burt RW, Guthery SL, Woodward SR, Jorde LB |
| Jazyk: |
angličtina |
| Zdroj: |
Genome research [Genome Res] 2011 May; Vol. 21 (5), pp. 768-74. Date of Electronic Publication: 2011 Feb 08. |
| DOI: |
10.1101/gr.115972.110 |
| Abstrakt: |
Accurate estimation of recent shared ancestry is important for genetics, evolution, medicine, conservation biology, and forensics. Established methods estimate kinship accurately for first-degree through third-degree relatives. We demonstrate that chromosomal segments shared by two individuals due to identity by descent (IBD) provide much additional information about shared ancestry. We developed a maximum-likelihood method for the estimation of recent shared ancestry (ERSA) from the number and lengths of IBD segments derived from high-density SNP or whole-genome sequence data. We used ERSA to estimate relationships from SNP genotypes in 169 individuals from three large, well-defined human pedigrees. ERSA is accurate to within one degree of relationship for 97% of first-degree through fifth-degree relatives and 80% of sixth-degree and seventh-degree relatives. We demonstrate that ERSA's statistical power approaches the maximum theoretical limit imposed by the fact that distant relatives frequently share no DNA through a common ancestor. ERSA greatly expands the range of relationships that can be estimated from genetic data and is implemented in a freely available software package. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
