A Recursive Algorithm For Long Range Phasing Of SNP Genotype

Title
A Recursive Algorithm For Long Range Phasing Of SNP Genotype
Publication Date
2009
Author(s)
Kinghorn, Brian
Hickey, John
Van Der Werf, Julius H
( author )
OrcID: https://orcid.org/0000-0003-2512-1696
Email: jvanderw@une.edu.au
UNE Id une-id:jvanderw
Editor
Editor(s): Alex Safari, Bill Pattie and Barrie Restall
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of publication
Armidale, Australia
UNE publication id
une:4994
Abstract
High density genotyping of individuals does not by itself yield information on phase: linkage of alleles between loci in the contributing gametes. This additional information is important, because it helps to determine which segments of chromosome are identical by descent across the population, and thereby improve inference about segregation of quantitative trait loci (QTL). This paper presents a recursive algorithm to give efficient implementation of long range phasing, a recently-published strategy that infers IBD between distant relatives from long strings of SNP genotypes that show no opposing homozygotes (i.e. no evidence of lack of IBS). These relatives can be both distant and unknown to the analysis. Successful implementation of this strategy gives opportunity to use haplotype and/or combined linkage-linkage disequilibrium analysis for QTL mapping or genomic selection.
Link
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.18, p. 76-79
ISSN
1328-3227
ISBN
9780646521039
Start page
76
End page
79

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