Linked Life Data

19539001

Source:http://linkedlifedata.com/resource/pubmed/id/19539001

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2009-8-24
pubmed:abstractText
The evaluation of susceptibility loci in a registry-based setting could be an important addition to the current predictive and screening models in T1D. Therefore, the aim of this study was to evaluate the importance of one of these loci, IFIH1. T1D patients (n=1981), control subjects (n=2092) and 430 families were genotyped for HLA-DQ and IFIH1 nsSNP rs1990760 (Ala946Thr). In the association analysis, the allelic frequencies, A (62.4% vs. 61.3%) and G (37.6% vs. 38.7%) were similar in cases and controls (chi(2) = 0.98, p = 0.32), the genotypic frequencies reveals a weak association with T1D (chi(2) = 6.79, p = 0.03), no significant transmission distortions in families (%T; A = 51.4%, G = 48.0 %, chi(2) = 1.76, p = 0.19) and no interaction with HLA-DQ-linked risk. Furthermore, no genotype-phenotype correlation was observed. In conclusion, IFIH1 has no important role in T1D risk assessment in a registry-based Belgian population.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1879-1166
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
70
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
706-10
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
IFIH1 gene polymorphisms in type 1 diabetes: genetic association analysis and genotype-phenotype correlation in the Belgian population.
pubmed:affiliation
Diabetes Research Center, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't