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 result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00074889" target="_blank" >RIV/00216224:14330/14:00074889 - isvavai.cz</a>
Result on the web
<a href="http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004915002590264" target="_blank" >http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004915002590264</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0004915002590264" target="_blank" >10.5220/0004915002590264</a>
Alternative languages
Result language
angličtina
Original language name
The possibilities of using biological knowledge for filtering pairs of SNPs in GWAS studies: an exploratory study on public protein-interaction and pathway data.
Original language 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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/7E13011" target="_blank" >7E13011: THALAssaemia MOdular Stratification System for personalized therapy of beta-thalassemia</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms
ISBN
9789897580123
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
259-264
Publisher name
SciTePress
Place of publication
Angers, France
Event location
Angers, FR
Event date
Mar 3, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—