Systems genetics of the nuclear factor-?B signal transduction network. I. Detection of several quantitative trait loci potentially relevant to aging
|dc.identifier.citation||Diego, V. and Curran, J. and Charlesworth, J. and Peralta, J. and Voruganti, V. and Cole, S. and Dyer, T. et al. 2012. Systems genetics of the nuclear factor-?B signal transduction network. I. Detection of several quantitative trait loci potentially relevant to aging. Mechanisms of Ageing and Development. 133 (1): pp. 11-19.|
A theory of aging holds that senescence is caused by a dysregulated nuclear factor kappa B (NF-κB) signal transduction network (STN). We adopted a systems genetics approach in our study of the NF-κB STN. Ingenuity Pathways Analysis (IPA) was used to identify gene/gene product interactions between NF-κB and the genes in our transcriptional profiling array. Principal components factor analysis (PCFA) was performed on a sub-network of 19 genes, including two initiators of the toll-like receptor (TLR) pathway, myeloid differentiation primary response gene (88) (MyD88) and TIR (Toll/interleukin-1 receptor)-domain-containing adapter-inducing interferon-β (TRIF). TLR pathways are either MyD88-dependent or TRIF-dependent. Therefore, we also performed PCFA on a subset excluding the MyD88 transcript, and on another subset excluding two TRIF transcripts. Using linkage analysis we found that each set gave rise to at least one factor with a logarithm of the odds (LOD) score greater than 3, two on chromosome 15 at 15q12 and 15q22.2, and another two on chromosome 17 at 17p13.3 and 17q25.3. We also found several suggestive signals (2 < LOD score < 3) at 1q32.1, 1q41, 2q34, 3q23, and 7p15.3. We are currently examining potential associations with single nucleotide polymorphisms within the 1-LOD intervals of our linkage signals.
|dc.title||Systems genetics of the nuclear factor-?B signal transduction network. I. Detection of several quantitative trait loci potentially relevant to aging|
|dcterms.source.title||Mechanisms of Ageing and Development|
|curtin.department||School of Biomedical Sciences|
|curtin.accessStatus||Fulltext not available|
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