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Title: Increase of Power and Efficiency to Fine-Map Genetic Defects Using Genotype Probabilities Through Segregation Analyses
Contributor(s): Duijvesteijn, N  (author); Clark, S A  (author)orcid ; Kinghorn, B P  (author); van der Werf, J H J  (author)orcid 
Publication Date: 2019
Open Access: Yes
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Abstract: This simulation study shows a method which makes more efficient use of pedigree and genomic information to increase the chance to detect genetic disorders. We make use of Geneprob, a program which uses segregation analysis to calculate the genotype probabilities of pedigreed animals. The results show that our method, for a trait with a recessive inheritance pattern, is better in the detection of the region of the causative mutation compared to a method which used allele frequencies of cases and controls only. This method can be used across all pedigreed species.
Publication Type: Conference Publication
Conference Details: 
Source of Publication: Proceedings of the AAABG 23rd Conference, v.23, p. 210-213
Publisher: Association for the Advancement of Animal Breeding and Genetics
Place of Publication: Armidale, Australia
Field of Research (FoR) 2008: 070201 Animal Breeding
060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)
060408 Genomics
Field of Research (FoR) 2020: 300305 Animal reproduction and breeding
310506 Gene mapping
310509 Genomics
Socio-Economic Objective (SEO) 2008: 830310 Sheep - Meat
830311 Sheep - Wool
Socio-Economic Objective (SEO) 2020: 100412 Sheep for meat
100413 Sheep for wool
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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Appears in Collections:Conference Publication
School of Environmental and Rural Science

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