https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Protocol for a randomized controlled trial of proactive web-based versus telephone-based information and support: can electronic platforms deliver effective care for lung cancer patients? https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37175 Wed 23 Feb 2022 16:05:04 AEDT ]]> The genetic architecture of the human cerebral cortex https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42676 Wed 22 Mar 2023 14:34:07 AEDT ]]> Genetic markers of human evolution are enriched in schizophrenia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25928 −9) more prevalent in genomic regions that are likely to have undergone recent positive selection in humans (i.e., with a low NSS score). Variants in brain-related genes with a low NSS score confer significantly higher susceptibility than variants in other brain-related genes. The enrichment is strongest for schizophrenia, but we cannot rule out enrichment for other phenotypes. The false discovery rate conditional on the evolutionary proxy points to 27 candidate schizophrenia susceptibility loci, 12 of which are associated with schizophrenia and other psychiatric disorders or linked to brain development. Conclusions: Our results suggest that there is a polygenic overlap between schizophrenia and NSS score, a marker of human evolution, which is in line with the hypothesis that the persistence of schizophrenia is related to the evolutionary process of becoming human.]]> Wed 12 Aug 2020 09:42:59 AEST ]]> Genome-wide association study identifies five new schizophrenia loci https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14264 −11) was with rs1625579 within an intron of a putative primary transcript for MIR137 (microRNA 137), a known regulator of neuronal development. Four other schizophrenia loci achieving genome-wide significance contain predicted targets of MIR137, suggesting MIR137-mediated dysregulation as a previously unknown etiologic mechanism in schizophrenia. In a joint analysis with a bipolar disorder sample (16,374 affected individuals and 14,044 controls), three loci reached genome-wide significance: CACNA1C (rs4765905, P = 7.0 × 10−9), ANK3 (rs10994359, P = 2.5 × 10−8) and the ITIH3-ITIH4 region (rs2239547, P = 7.8 × 10−9).]]> Wed 11 Apr 2018 18:45:05 AEST ]]> Stability in a network of MONADS-PC computers https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2624 Wed 11 Apr 2018 17:17:03 AEST ]]> Operating system support for object dependencies in persistent object stores https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2642 Wed 11 Apr 2018 16:26:31 AEST ]]> Co-existence of transaction and non transaction-managed activity in a persistent object store https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2645 Wed 11 Apr 2018 15:33:16 AEST ]]> Expression analysis in a rat psychosis model identifies novel candidate genes validated in a large case-control sample of schizophrenia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23292 Wed 11 Apr 2018 15:09:07 AEST ]]> A parameterized greedy algorithm for cluster editing https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2594 Wed 11 Apr 2018 14:30:52 AEST ]]> Using directed graphs to describe entity dependency in stable distributed persistent stores https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2640 Wed 11 Apr 2018 14:17:11 AEST ]]> Reducing the extent of cascadable operations in stable distributed persistent stores https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2641 Wed 11 Apr 2018 13:26:08 AEST ]]> Addressing moved modules in a capability-based distributed shared memory https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2622 Wed 11 Apr 2018 13:00:45 AEST ]]> Coarse and fine grain objects in a distributed persistent store https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2621 Wed 11 Apr 2018 12:11:07 AEST ]]> A capability-based distributed shared memory https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2623 Wed 11 Apr 2018 11:40:58 AEST ]]> ST algorithm for medical diagnostic reasoning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14248 Wed 11 Apr 2018 11:39:05 AEST ]]> A comparison study of cooperative Q-learning algorithms for independent learners https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26532 Wed 11 Apr 2018 11:10:07 AEST ]]> Drill-locate-drill algorithm for diagnostic reasoning in psychiatry https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28800 Wed 11 Apr 2018 11:03:54 AEST ]]> Distributed persistent stores https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2636 Wed 11 Apr 2018 10:42:00 AEST ]]> A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24397 Wed 11 Apr 2018 10:30:06 AEST ]]> Formalisation of problem and domain definition for Agent Oriented Smart Factory (AOSF) https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34269 Wed 04 Sep 2019 12:16:55 AEST ]]> Genetic correlation between amyotrophic lateral sclerosis and schizophrenia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34119 -4) with schizophrenia polygenic risk scores explaining up to 0.12% of the variance in ALS (P=8.4 × 10-7). A modest increase in comorbidity of ALS and schizophrenia is expected given these findings (odds ratio 1.08-1.26) but this would require very large studies to observe epidemiologically. We identify five potential novel ALS-associated loci using conditional false discovery rate analysis. It is likely that shared neurobiological mechanisms between these two disorders will engender novel hypotheses in future preclinical and clinical studies.]]> Wed 04 Sep 2019 09:40:14 AEST ]]> Estimation of Genetic Correlation via Linkage Disequilibrium Score Regression and Genomic Restricted Maximum Likelihood https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44630 Tue 18 Oct 2022 12:11:18 AEDT ]]> Cross-disorder analysis of schizophrenia and 19 immune-mediated diseases identifies shared genetic risk https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46890 Tue 06 Dec 2022 12:02:52 AEDT ]]> Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34283 −15), which persisted after excluding loci implicated in previous studies (OR = 1.07, P = 1.7 × 10−6). CNV burden was enriched for genes associated with synaptic function (OR = 1.68, P = 2.8 × 10−11) and neurobehavioral phenotypes in mouse (OR = 1.18, P = 7.3 × 10−5). Genome-wide significant evidence was obtained for eight loci, including 1q21.1, 2p16.3 (NRXN1), 3q29, 7q11.2, 15q13.3, distal 16p11.2, proximal 16p11.2 and 22q11.2. Suggestive support was found for eight additional candidate susceptibility and protective loci, which consisted predominantly of CNVs mediated by nonallelic homologous recombination.]]> Tue 03 Sep 2019 18:30:49 AEST ]]> Cortical brain abnormalities in 4474 individuals with schizophrenia and 5098 control subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) consortium https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33388 Tue 03 Sep 2019 17:54:11 AEST ]]> A correction for sample overlap in genome-wide association studies in a polygenic pleiotropy-informed framework https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33389 Tue 03 Sep 2019 17:54:01 AEST ]]> Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50043 Thu 29 Jun 2023 14:38:49 AEST ]]> Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47202 Thu 15 Dec 2022 11:18:18 AEDT ]]> A polygenic resilience score moderates the genetic risk for schizophrenia: Replication in 18,090 cases and 28,114 controls from the Psychiatric Genomics Consortium https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54811 Thu 14 Mar 2024 14:24:56 AEDT ]]> Identification and interrogation of highly informative single nucleotide polymorphism sets defined by bacterial multilocus sequence typing databases https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1796 Sat 24 Mar 2018 08:27:30 AEDT ]]> Consumer participation in quality improvements for chronic disease care: development and evaluation of an interactive patient-centered survey to identify preferred service initiatives https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19005 0.4) was reported for 16 of 20 general initiatives with observed percentage agreement ranging from 82.1%-100.0%. The majority of participants indicated the Web-based survey was easy to complete (97.9%, 531/543) and comprehensive (93.1%, 505/543). Participants also reported the interactive relative prioritization exercise was easy to complete (97.0%, 189/195) and helped them to decide which initiatives were of most importance (84.6%, 165/195). Average completion time was 8.54 minutes (SD 3.91) and the Flesch-Kincaid reading level was 6.8. Overall, 84.6% (447/529) of participants indicated a willingness to complete a similar survey again. Conclusions: The Web-based Consumer Preferences Survey is sufficiently reliable and highly acceptable to patients. Based on completion times and reading level, this tool could be integrated in routine clinical practice and allows consumers to easily participate in quality evaluation. Results provide a comprehensive list of patient-prioritized initiatives for patients with major chronic conditions and delivers practice-ready evidence to guide improvements in patient-centered care.]]> Sat 24 Mar 2018 08:05:35 AEDT ]]> Biological insights from 108 schizophrenia-associated genetic loci https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21465 DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses. Independent of genes expressed in brain, associations were enriched among genes expressed in tissues that have important roles in immunity, providing support for the speculated link between the immune system and schizophrenia.]]> Sat 24 Mar 2018 07:52:31 AEDT ]]> Genome-wide association study reveals greater polygenic loading for schizophrenia in cases with a family history of illness https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29641 Sat 24 Mar 2018 07:41:54 AEDT ]]> The Select and Test (ST) algorithm and Drill-Locate-Drill (DLD) algorithm for medical diagnostic reasoning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28810 Sat 24 Mar 2018 07:38:25 AEDT ]]> The select and test algorithm for inference in medical diagnostic reasoning: implementation and evaluation in clinical psychiatry https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28809 Sat 24 Mar 2018 07:38:25 AEDT ]]> The Drill-Locate-Drill (DLD) algorithm for automated medical diagnostic reasoning: implementation and evaluation in psychiatry https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29039 Sat 24 Mar 2018 07:37:20 AEDT ]]> Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29335 Sat 24 Mar 2018 07:34:19 AEDT ]]> Select and Test (ST) algorithm for medical diagnostic reasoning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29145 Sat 24 Mar 2018 07:32:34 AEDT ]]> Schizophrenia risk from complex variation of complement component 4 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30050 Sat 24 Mar 2018 07:31:15 AEDT ]]> LD score regression distinguishes confounding from polygenicity in genome-wide association studies https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28311 Sat 24 Mar 2018 07:27:06 AEDT ]]> Modelling diagnostic reasoning based on mental state examination https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28787 Sat 24 Mar 2018 07:23:43 AEDT ]]> Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23305 Sat 24 Mar 2018 07:16:19 AEDT ]]> Partitioning heritability by functional annotation using genome-wide association summary statistics https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23306 Sat 24 Mar 2018 07:16:19 AEDT ]]> A case-based reasoning approach to mental state examination using a similarity measure based on orthogonal vector projection https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23397 Sat 24 Mar 2018 07:13:56 AEDT ]]> Gene expression imputation across multiple brain regions provides insights into schizophrenia risk https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47780 Mon 30 Jan 2023 10:58:57 AEDT ]]> The role of polygenic risk score gene-set analysis in the context of the omnigenic model of schizophrenia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42338 N = 29,125 cases and 34,836 controls), a robust polygenic signal was observed from gene sets based on TCF4, FMR1, upregulation from MIR137 and downregulation from CHD8. Additional analyses revealed a constant floor effect in the amount of variance explained, consistent with the omnigenic model. Thus, we report that putative core gene sets showed a significant effect above and beyond the floor effect that might be linked with the underlying omnigenic background. In addition, we demonstrate a method to quantify the contribution of specific gene sets within the omnigenic context.]]> Mon 22 Aug 2022 14:00:20 AEST ]]> A polygenic resilience score moderates the genetic risk for schizophrenia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38229 Mon 16 Aug 2021 17:39:39 AEST ]]> Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50977 Mon 14 Aug 2023 15:24:38 AEST ]]> Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50972 Mon 14 Aug 2023 15:19:39 AEST ]]> Age at first birth in women is genetically associated with increased risk of schizophrenia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43035 Mon 12 Sep 2022 11:49:25 AEST ]]> A molecule-based genetic association approach implicates a range of voltage-gated calcium channels associated with schizophrenia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42814 Mon 05 Sep 2022 14:06:54 AEST ]]> Mapping genomic loci implicates genes and synaptic biology in schizophrenia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49672 Fri 26 May 2023 15:35:47 AEST ]]> Population-based identity-by-descent mapping combined with exome sequencing to detect rare risk variants for schizophrenia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42186 n = 3,473) by performing identity-by-descent (IBD) mapping followed by exome sequencing of individuals identified as sharing risk haplotypes to search for rare risk variants in coding regions. We identified 45 rare haplotypes (>1 cM) that were significantly more common in cases than controls. By exome sequencing 105 haplotype carriers, we investigated these haplotypes for functional coding variants that could be tested for association in independent GWAS samples. We identified one rare missense variant in PCNT but did not find statistical support for an association with schizophrenia in a replication analysis. However, IBD mapping can prioritize both individual samples and genomic regions for follow-up analysis but genome rather than exome sequencing may be more effective at detecting risk variants on rare haplotypes.]]> Fri 26 Aug 2022 10:49:17 AEST ]]> Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46603 Fri 25 Nov 2022 16:41:41 AEDT ]]> Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51559 Fri 08 Sep 2023 16:29:26 AEST ]]> Beyond the Global Brain Differences: Intra-individual Variability Differences in 1q21.1 Distal and 15q11.2 BP1-BP2 Deletion Carriers https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54564 Fri 01 Mar 2024 11:18:59 AEDT ]]>