Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5121
Title: A framework to link whole genome SNP association studies to systems genetics
Contributor(s): Goodswen, Stephen (author); Kadarmideen, HN (author); Gondro, Cedric  (author)orcid ; Van Der Werf, Julius H  (author)orcid 
Publication Date: 2009
Handle Link: https://hdl.handle.net/1959.11/5121
Abstract: One of the main outcomes from whole genome association studies (WGAS) are statistically significant single nucleotide polymorphisms (SNPs). This outcome would be enhanced if either biological meaning or potential functional roles for these SNPs are revealed. Such knowledge would enhance the process of marker- or gene-assisted selection (MAS/GAS), or at least would provide more understanding of the achieved genetic change. We develop and present an R package called 'FunctSNP', interfaced to a relational database, to add potential functional information to SNPs that have shown to be statistically significant in a WGAS. The approach and developed software has been designed in such away that the database can contain any model species.
Publication Type: Conference Publication
Conference Name: 18th Conference of the Association for the Advancement of Animal Breeding and Genetics, Barossa Valley, Australia, 28th September - 1st October, 2009
Conference Details: 18th Conference of the Association for the Advancement of Animal Breeding and Genetics, Barossa Valley, Australia, 28th September - 1st October, 2009
Source of Publication: Proceedings of the 18th Conference of the Association for the Advancement of Animal Breeding and Genetics: Matching Genetics and Environment - a New Look at an Old Topic, p. 454-457
Publisher: AAABG: Association for the Advancement of Animal Breeding and Genetics
Place of Publication: Armidale, Australia
ISSN: 1328-3227
Field of Research (FOR): 060408 Genomics
080301 Bioinformatics Software
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: http://web4ftp.it.csiro.au/ftp4goo17a/FunctSNP/FunctSNP_Application.pdf
http://www.aaabg.org/proceedings18/files/goodswen454.pdf
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