Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4878
Title: A Recursive Algorithm For Long Range Phasing Of SNP Genotype
Contributor(s): Kinghorn, Brian  (author); Hickey, John (author); Van Der Werf, Julius H  (author)orcid 
Publication Date: 2009
Handle Link: https://hdl.handle.net/1959.11/4878
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.
Publication Type: Conference Publication
Conference Details: AAABG 2009: 18th Conference of the Association for the Advancement of Animal Breeding and Genetics, Barossa Valley, Australia, 27th September - 1st October, 2009
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.18, p. 76-79
Publisher: Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of Publication: Armidale, Australia
ISSN: 1328-3227
Fields of Research (FoR) 2008: 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)
070201 Animal Breeding
Socio-Economic Objective (SEO) 2008: 830399 Livestock Raising not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://www.aaabg.org/proceedings18/files/kinghorn076.pdf
Appears in Collections:Conference Publication

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