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Set Enrichment Analysis (set + enrichment_analysis)
Selected AbstractsHuman Variation in Alcohol Response Is Influenced by Variation in Neuronal Signaling GenesALCOHOLISM, Issue 5 2010Geoff Joslyn Background:, Alcohol use disorders (AUD) exhibit the properties shared by common conditions and diseases classified as genetically complex. The etiology of AUDs is heterogeneous involving mostly unknown interactions of environmental and heritable factors. A person's level of response (LR) to alcohol is inversely correlated with a family history and the development of AUDs. As an AUD endophenotype, alcohol LR is hypothesized to be less genetically complex and closer to the primary etiology of AUDs. Methods:, A genome wide association study (GWAS) was performed on subjects characterized for alcohol LR phenotypes. Gene Set Enrichment Analysis (GSEA) of the GWAS data was performed to determine whether, as a group, genes that participate in a common biological function (a gene set) demonstrate greater genetic association than would be randomly expected. Results:, The GSEA analysis implicated variation in neuronal signaling genes, especially glutamate signaling, as being involved in alcohol LR variability in the human population. Conclusions:, These data, coupled with cell and animal model data implicating neuronal signaling in alcohol response, support the conclusion that neuronal signaling is mechanistically involved in alcohol's cellular and behavioral effects. Further, these data suggest that genetic variation in these signaling pathways contribute to human variation in alcohol response. Finally, this concordance of the cell, animal, and human findings supports neuronal signaling, particularly glutamate signaling, as a prime target for translational studies to understand and eventually modulate alcohol's effects. [source] Transcriptional response to aging and caloric restriction in heart and adipose tissueAGING CELL, Issue 5 2007Nancy J. Linford Summary Sustained caloric restriction (CR) extends lifespan in animal models but the mechanism and primary tissue target(s) have not been identified. Gene expression changes with aging and CR were examined in both heart and white adipose tissue (WAT) of Fischer 344 (F344) male rats using Affymetrix® RAE 230 arrays and validated by quantitative reverse transcriptase,polymerase chain reaction (qRT-PCR) on 18 genes. As expected, age had a substantial effect on transcription on both tissues, although only 21% of cardiac age-associated genes were also altered in WAT. Gene set enrichment analysis revealed coordinated small magnitude changes in ribosomal, proteasomal, and mitochondrial genes with similarities in aging between heart and WAT. CR had very different effects on these two tissues at the transcriptional level. In heart, very few age-associated expression changes were affected by CR, while in WAT, CR suppressed a substantial subset of the age-associated changes. Genes unaltered by aging but altered by CR were identified in WAT but not heart. Most interestingly, we identified a gene expression signature associated with mammalian target of rapamycin (mTOR) activity that was down-regulated with age but preserved by CR in both WAT and heart. In addition, lipid metabolism genes, particularly those associated with peroxisome proliferator-activated receptor , (PPAR,)-mediated adipogenesis were reduced with age but preserved with CR in WAT. These results highlight tissue-specific differences in the gene expression response to CR and support a role for CR-mediated preservation of mTOR activity and adipogenesis in aging WAT. [source] Genetic modifiers of the severity of sickle cell anemia identified through a genome-wide association study,AMERICAN JOURNAL OF HEMATOLOGY, Issue 1 2010Paola Sebastiani We conducted a genome-wide association study (GWAS) to discover single nucleotide polymorphisms (SNPs) associated with the severity of sickle cell anemia in 1,265 patients with either "severe" or "mild" disease based on a network model of disease severity. We analyzed data using single SNP analysis and a novel SNP set enrichment analysis (SSEA) developed to discover clusters of associated SNPs. Single SNP analysis discovered 40 SNPs that were strongly associated with sickle cell severity (odds for association >1,000); of the 32 that we could analyze in an independent set of 163 patients, five replicated, eight showed consistent effects although failed to reach statistical significance, whereas 19 did not show any convincing association. Among the replicated associations are SNPs in KCNK6 a K+ channel gene. SSEA identified 27 genes with a strong enrichment of significant SNPs (P < 10,6); 20 were replicated with varying degrees of confidence. Among the novel findings identified by SSEA is the telomere length regulator gene TNKS. These studies are the first to use GWAS to understand the genetic diversity that accounts the phenotypic heterogeneity sickle cell anemia as estimated by an integrated model of severity. Additional validation, resequencing, and functional studies to understand the biology and reveal mechanisms by which candidate genes might have their effects are the future goals of this work. Am. J. Hematol., 2010. © 2009 Wiley-Liss, Inc. [source] Transcription of proteinase 3 and related myelopoiesis genes in peripheral blood mononuclear cells of patients with active Wegener's granulomatosisARTHRITIS & RHEUMATISM, Issue 6 2010Chris Cheadle Objective Wegener's granulomatosis (WG) is a systemic inflammatory disease that is associated with substantial morbidity. The aim of this study was to understand the biology underlying WG and to discover markers of disease activity that would be useful for prognosis and treatment guidance. Methods Gene expression profiling was performed using total RNA from peripheral blood mononuclear cells (PBMCs) and granulocyte fractions from 41 patients with WG and 23 healthy control subjects. Gene set enrichment analysis (GSEA) was performed to search for candidate WG-associated molecular pathways and disease activity biomarkers. Principal components analysis was used to visualize relationships between subgroups of WG patients and controls. Longitudinal changes in proteinase 3 (PR3) gene expression were evaluated using reverse transcription,polymerase chain reaction, and clinical outcomes, including remission status and disease activity, were determined using the Birmingham Vasculitis Activity Score for WG (BVAS-WG). Results Eighty-six genes in WG PBMCs and 40 in WG polymorphonuclear neutrophils (PMNs) were significantly up-regulated relative to controls. Genes up-regulated in WG PBMCs were involved in myeloid differentiation, and these included the WG autoantigen PR3. The coordinated regulation of myeloid differentiation genes was confirmed by GSEA. The median expression values of the 86 up-regulated genes in WG PBMCs were associated with disease activity (P = 1.3 × 10,4), and WG patients with low-level expression of the WG signature genes showed expression profiles that were only modestly different from that in healthy controls (P = 0.07). PR3 transcription was significantly up-regulated in WG PBMCs (P = 1.3 × 10,5, false discovery rate [FDR] 0.002), but not in WG PMNs (P = 0.03, FDR 0.28), and a preliminary longitudinal analysis showed that the fold change in PR3 RNA levels in WG PBMCs corresponded to changes in the BVAS-WG score over time. Conclusion Transcription of PR3 and related myeloid differentiation genes in PBMCs may represent novel markers of disease activity in WG. [source] |