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Conference Paper: Using functional annotation to re-prioritize GWAS hits

TitleUsing functional annotation to re-prioritize GWAS hits
Authors
Issue Date2010
PublisherThe American Society of Human Genetics.
Citation
The 60th Annual Meeting of the American Society of Human Genetics (ASHG 2010), Washington, DC., 2-6 November 2010. How to Cite?
AbstractGenome-wide association studies (GWAS) often produce a few significant signals and many suggestive signals. The latter group represents an untapped resource of potentially great value, but separating true hits from spurious findings is a major challenge. One approach to take environmental/life style factors into account but no methods have been described that enable the use of genome-wide information to study gene-environment interactions in the development of complex diseases. We will summarize our current understanding of the problem and to provide new solutions in discovery of gene-gene and gene-environment interactions. Another approach to mining GWAS data is to integrate additional functional information. GWAS results have been made available to the public enabling researchers to characterize these SNPs in a manner that can inform follow up studies. Additional tools have been developed that will allow this information to be combined with p-values. These resources will be discussed in this session.
DescriptionThe Meeting abstracts' web site is located at http://www.ashg.org/meetings/meetings_abstract_search.shtml
Persistent Identifierhttp://hdl.handle.net/10722/137857

 

DC FieldValueLanguage
dc.contributor.authorSham, PCen_US
dc.date.accessioned2011-08-26T14:35:26Z-
dc.date.available2011-08-26T14:35:26Z-
dc.date.issued2010en_US
dc.identifier.citationThe 60th Annual Meeting of the American Society of Human Genetics (ASHG 2010), Washington, DC., 2-6 November 2010.en_US
dc.identifier.urihttp://hdl.handle.net/10722/137857-
dc.descriptionThe Meeting abstracts' web site is located at http://www.ashg.org/meetings/meetings_abstract_search.shtml-
dc.description.abstractGenome-wide association studies (GWAS) often produce a few significant signals and many suggestive signals. The latter group represents an untapped resource of potentially great value, but separating true hits from spurious findings is a major challenge. One approach to take environmental/life style factors into account but no methods have been described that enable the use of genome-wide information to study gene-environment interactions in the development of complex diseases. We will summarize our current understanding of the problem and to provide new solutions in discovery of gene-gene and gene-environment interactions. Another approach to mining GWAS data is to integrate additional functional information. GWAS results have been made available to the public enabling researchers to characterize these SNPs in a manner that can inform follow up studies. Additional tools have been developed that will allow this information to be combined with p-values. These resources will be discussed in this session.-
dc.languageengen_US
dc.publisherThe American Society of Human Genetics.-
dc.relation.ispartof60th ASHG Annual Meeting 2010en_US
dc.titleUsing functional annotation to re-prioritize GWAS hitsen_US
dc.typeConference_Paperen_US
dc.identifier.emailSham, PC: pcsham@hku.hken_US
dc.identifier.authoritySham, PC=rp00459en_US
dc.description.naturelink_to_OA_fulltext-
dc.identifier.hkuros189956en_US
dc.publisher.placeUnited States-

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