Linked Life Data

19964683

Source:http://linkedlifedata.com/resource/pubmed/id/19964683

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2009-12-7
pubmed:abstractText
Genetic differences have been shown to contribute to gene expression variability. A complete evaluation of the associations between a whole genome scan with 550k Single Nucleotide Polymorphisms (SNPs) and 54k detectable expression levels (probesets) was performed on 176 human peripheral blood samples. The results are presented along with visualizations that reveal cis and trans gene expression regulatory effects. The algorithmic approach followed utilized a distributed computational system. The analysis was performed using a linear regression adjusting for all relevant covariates. Permutation testing on a random subset of the top results provided an indication of the significance levels adjusted for multiple testing and the non independence of SNPs due to linkage disequilibrium. The database of the produced results can be used as a resource to assess the functional impact of genetic polymorphisms to gene expression regulation. This resource is applicable across all disease areas.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
2009
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
5466-9
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Discovering genetic polymorphism associated with gene expression levels across the whole genome.
pubmed:affiliation
Department of Computer Science, University of Cyprus, 75 Kallipoleos Str., Nicosia, Cyprus. athos@cs.ucy.ac.cy
pubmed:publicationType
Journal Article