Increase of Power and Efficiency to Fine-Map Genetic Defects Using Genotype Probabilities Through Segregation Analyses

Title
Increase of Power and Efficiency to Fine-Map Genetic Defects Using Genotype Probabilities Through Segregation Analyses
Publication Date
2019
Author(s)
Duijvesteijn, N
Clark, S A
( author )
OrcID: https://orcid.org/0000-0001-8605-1738
Email: sclark37@une.edu.au
UNE Id une-id:sclark37
Kinghorn, B P
van der Werf, J H J
( author )
OrcID: https://orcid.org/0000-0003-2512-1696
Email: jvanderw@une.edu.au
UNE Id une-id:jvanderw
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:1959.11/29017
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.
Link
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.23, p. 210-213
ISSN
1328-3227
Start page
210
End page
213

Files:

NameSizeformatDescriptionLink