Linked Life Data

20018061

Source:http://linkedlifedata.com/resource/pubmed/id/20018061

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2009-12-18
pubmed:abstractText
ABSTRACT : Using the North American Rheumatoid Arthritis Consortium genome-wide association dataset, we applied ridged, multiple least-squares regression to identify genetic variants with apparent unique contributions to variation of anti-cyclic citrullinated peptide (anti-CCP), a newly identified clinical risk factor for development of rheumatoid arthritis. Within a 2.7-Mbp region on chromosome 6 around the well studied HLA-DRB1 locus, ridge regression identified a single-nucleotide polymorphism that was associated with anti-CCP variation when including the additive effects of other single-nucleotide polymorphisms in a multivariable analysis, but that showed only a weak direct association with anti-CCP. This suggests that multivariable methods can be used to identify potentially relevant genetic variants in regions of interest that would be difficult to detect based on direct associations.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:issn
1753-6561
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
3 Suppl 7
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S67
pubmed:year
2009
pubmed:articleTitle
Identification of correlated genetic variants jointly associated with rheumatoid arthritis using ridge regression.
pubmed:affiliation
Department of Epidemiology, School of Public Health, University of Michigan, 109 Observatory, Ann Arbor, Michigan 48109, USA. yansun@umich.edu.
pubmed:publicationType
Journal Article