Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29017
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
Handle Link: https://hdl.handle.net/1959.11/29017
Open Access Link: http://www.aaabg.org/aaabghome/AAABG23papers/51Duijvesteijn23210.pdfOpen Access Link
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
Other Links: http://www.aaabg.org/aaabghome/proceedings23.php
https://aaabg2019.org/
Appears in Collections:Conference Publication
School of Environmental and Rural Science

Files in This Item:
2 files
File Description SizeFormat 
Show full item record
Google Media

Google ScholarTM

Check

WEB OF SCIENCETM
Citations

 

Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.