About: The possibilities of using biological knowledge for filtering pairs of SNPs in GWAS studies: an exploratory study on public protein-interaction and pathway data.

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About: The possibilities of using biological knowledge for filtering pairs of SNPs in GWAS studies: an exploratory study on public protein-interaction and pathway data. Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004915002590264
Description	Genome-wide association studies have become a standard way of discovering novel causative alleles by loooking for statisticaly significant associations in patient genotyping data. The present challenge for these methods is to discover associations involving multiple interacting loci, a common phenomenon in diseases often related to epistasis. The main problem is the exponential increase in necessary computational power for every additional interacting locus considered in association tests. Several approaches have been proposed to manage this problem, including limiting analysis to interacting pairs and filtering SNPs according to external biological knowledge. Here we explore the possibilities of using public protein interaction data and pathway maps to filter out only pairs of SNPs that are likely to interact, perhaps because of epistatic mechanisms working at the protein level. Genome-wide association studies have become a standard way of discovering novel causative alleles by loooking for statisticaly significant associations in patient genotyping data. The present challenge for these methods is to discover associations involving multiple interacting loci, a common phenomenon in diseases often related to epistasis. The main problem is the exponential increase in necessary computational power for every additional interacting locus considered in association tests. Several approaches have been proposed to manage this problem, including limiting analysis to interacting pairs and filtering SNPs according to external biological knowledge. Here we explore the possibilities of using public protein interaction data and pathway maps to filter out only pairs of SNPs that are likely to interact, perhaps because of epistatic mechanisms working at the protein level. (en)
Title	The possibilities of using biological knowledge for filtering pairs of SNPs in GWAS studies: an exploratory study on public protein-interaction and pathway data. The possibilities of using biological knowledge for filtering pairs of SNPs in GWAS studies: an exploratory study on public protein-interaction and pathway data. (en)
skos:prefLabel	The possibilities of using biological knowledge for filtering pairs of SNPs in GWAS studies: an exploratory study on public protein-interaction and pathway data. The possibilities of using biological knowledge for filtering pairs of SNPs in GWAS studies: an exploratory study on public protein-interaction and pathway data. (en)
skos:notation	RIV/00216224:14330/14:00074889!RIV15-MSM-14330___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(7E13011)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Štefanič, Stanislav Lexa, Matej
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	37884
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/14:00074889
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	GWAS; SNPs; biological knowledge; databases; genotyping; filtering (en)
http://linked.open.../riv/klicoveSlovo	GWAS databases genotyping filtering SNPs biological knowledge
http://linked.open...ontrolniKodProRIV	[974F6CA0A8D5]
http://linked.open...v/mistoKonaniAkce	Angers, FR
http://linked.open...i/riv/mistoVydani	Angers, France
http://linked.open...i/riv/nazevZdroje	Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	THALAssaemia MOdular Stratification System for personalized therapy of beta-thalassemia
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Lexa, Matej Štefanič, Stanislav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-03-03 (xsd:date)
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.5220/0004915002590264
http://purl.org/ne...btex#hasPublisher	SciTePress
https://schema.org/isbn	9789897580123
http://localhost/t...ganizacniJednotka	14330

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