https://novaprd-lb.newcastle.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 Analysis of shared heritability in common disorders of the brain https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:43392 Wed 22 Mar 2023 15:32:42 AEDT ]]> Germ cell-specific sustained activation of Wnt signalling perturbs spermatogenesis in aged mice, possibly through non-coding RNAs https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:29868 Wed 15 Dec 2021 16:08:58 AEDT ]]> Analyzing the role of microRNAs in schizophrenia in the context of common genetic risk variants https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:29013 P < 2 × 10−16). Further, the gene set analyses revealed several miRNAs regulating schizophrenia risk genes, with the strongest enrichment for targets of miR-9-5p (P = .0056 for enrichment among the top 1% most-associated single-nucleotide polymorphisms, corrected for multiple testing). It is further of note that MIR9-2 is located in a genomic region showing strong evidence for association with schizophrenia (P = 7.1 × 10−8). The second and third strongest gene set signals were seen for the targets of miR-485-5p and miR-137, respectively. Conclusions and Relevance: This study provides evidence for a role of miR-9-5p in the etiology of schizophrenia. Its implication is of particular interest as the functions of this neurodevelopmental miRNA tie in with established disease biology: it has a regulatory loop with the fragile X mental retardation homologue FXR1 and regulates dopamine D2 receptor density.]]> Wed 11 Apr 2018 15:28:50 AEST ]]> RNA-Seq, Bioinformatic Identification of Potential MicroRNA-Like Small RNAs in the Edible Mushroom Agaricus bisporus and Experimental Approach for Their Validation https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:50168 Wed 05 Jul 2023 16:24:16 AEST ]]> Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:49007 Wed 03 May 2023 12:17:36 AEST ]]> Transcriptomic abnormalities in peripheral blood in bipolar disorder, and discrimination of the major psychoses https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:41878 Tue 16 Aug 2022 10:04:26 AEST ]]> Cross-disorder analysis of schizophrenia and 19 immune-mediated diseases identifies shared genetic risk https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46890 Tue 06 Dec 2022 12:02:52 AEDT ]]> Alterations in miRNA processing and expression in pleomorphic adenomas of the salivary gland https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8212 Sat 24 Mar 2018 08:36:21 AEDT ]]> Dynamic structural remodelling of microglia in health and disease: a review of the models, the signals and the mechanisms https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:19115 Sat 24 Mar 2018 07:55:52 AEDT ]]> Evidence for genetic overlap between schizophrenia and age at first birth in women. https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:29862 2 = 1.1E-03, P = 4.1E-04), reflecting the published relationship between maternal age and SCZ risk in offspring by McGrath et al in 2014. Conclusions and Relevance: This study provides evidence for a significant overlap between genetic factors associated with risk of SCZ and genetic factors associated with AFB. It has been reported that SCZ risk associated with increased maternal age is explained by the age of the father and that de novo mutations that occur more frequently in the germline of older men are the underlying causal mechanism. This explanation may need to be revised if, as suggested herein and if replicated in future studies, there is also increased genetic risk of SCZ in older mothers.]]> Sat 24 Mar 2018 07:40:47 AEDT ]]> Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:25812 postmortem brain tissue, and later in studies of peripheral blood. The collective body of schizophrenia microarray literature contains apparent inconsistencies between studies, with failures to replicate top hits, in part due to small sample sizes, cohort-specific effects, differences in array types, and other confounders. In an attempt to summarize existing studies of schizophrenia cases and non-related comparison subjects, we performed two mega-analyses of a combined set of microarray data from postmortem prefrontal cortices (n = 315) and from ex-vivo blood tissues (n = 578). We adjusted regression models per gene to remove non-significant covariates, providing best-estimates of transcripts dysregulated in schizophrenia. We also examined dysregulation of functionally related gene sets and gene co-expression modules, and assessed enrichment of cell types and genetic risk factors. The identities of the most significantly dysregulated genes were largely distinct for each tissue, but the findings indicated common emergent biological functions (e.g. immunity) and regulatory factors (e.g., predicted targets of transcription factors and miRNA species across tissues). Our network-based analyses converged upon similar patterns of heightened innate immune gene expression in both brain and blood in schizophrenia. We also constructed generalizable machine-learning classifiers using the blood-based microarray data. Our study provides an informative atlas for future pathophysiologic and biomarker studies of schizophrenia.]]> Sat 24 Mar 2018 07:34:35 AEDT ]]> Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46603 Fri 25 Nov 2022 16:41:41 AEDT ]]> BrainGENIE: The Brain Gene Expression and Network Imputation Engine https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:51344 Fri 01 Sep 2023 13:34:14 AEST ]]>