Grandiflora : Recent Paintings by Daniel Mafe

Grandiflora: Recent Paintings by Daniel Mafe The paintings of Grandiflora are improvised around a range of different flower motifs culled from medieval textiles and botanical illustrations. Each of the paintings is constructed upon a ground of flat, palely luminous yellow occasionally supplemented by additional areas of high-keyed pastel. Pink, blue, green and mauve together with the yellow, generate a shimmering and even incandescent glow. The graphic images of the flowers with the flat colour areas are then contrasted and worked over with richly sensual, abstract gestures of paint. Within the work there is a pronounced almost rococo-esque opticality as it operates between these different visual codes of flat colour, recognizable floral forms, and gesture. These codes combine to produce a definite visceral impact on the viewer, a pronounced and tactile sense of the experience and ambiguity inherent in perceiving. This ambiguity is interestingly at odds with the apparently clean and crisp quality each painting demonstrates as an integrated whole. Indeed each piece goes on to reveal, despite the use of overt figurative quotations, a sense of the purely abstract which in its turn concretely establishes the ornamental.

Normanton2020

Normanton2020 This exhibition showcases the work of 3rd -4th year undergraduate landscape architecture, architecture, Interior Design, Environmental Engineering, Civil Engineering students in response to issues of sustainability in the Gulf of Carpentaria town of Normanton. 16 students and four staff set off on a 2488km journey to undertake the second half of the Carpentaria Project (following Linking Karumba: Creating Sustainable Connections 2008), in the other Carpentaria Shire town of Normanton. This project, Get EnGulfed: Normanton 2020, looked back and forwards to propose strategies strengthening local and regional identities. Our project partners recognised the need for a strategic approach to developing future visions for Normanton’s growth as a socially, culturally, economically and ecologically sustainable town in the decade to 2020. They proposed: Project aims to foster: • Enhanced liveability; • A strengthened expression of town identity; • Expanded sustainable tourism. Primary challenges & opportunities: • Remoteness; • Two seasons: wet & dry; • Local economy; • Society and Cultural Heritage. The Exhibition Four groups of four students produced four strategic planning and design options toward this future: Mud Maps of Normanton: Rhys Belnap, AJ Humphries, Amos Shirreff, Haiku Van Keuk Normanton: Stay Another Day: Belle Dalton, Tom Jordan, Josh Nielsen, Carla Ramsland The Sweet Spot on the Savannah Way: Daniel Lapham, Yvonne Phillips, Patrick Poon, Dan Young Resilience Through Diversity: Jillian Kenny, Tania Metcher, Stephen Orr, Evan Thompson

Get EnGulfed: Normanton2020

Get EnGulfed: Normanton2020 This exhibition showcases the work of 3rd -4th year undergraduate landscape architecture, architecture, Interior Design, Environmental Engineering, Civil Engineering students in response to issues of sustainability in the Gulf of Carpentaria town of Normanton. It presented the work to QUT staff from across the university, as well as industry partners and invited guests. 16 students and four staff set off on a 2488km journey to undertake the second half of the Carpentaria Project (following Linking Karumba: Creating Sustainable Connections 2008), in the other Carpentaria Shire town of Normanton. This project, Get EnGulfed: Normanton 2020, looked back and forwards to propose strategies strengthening local and regional identities. Our project partners recognised the need for a strategic approach to developing future visions for Normanton’s growth as a socially, culturally, economically and ecologically sustainable town in the decade to 2020. They proposed: Project aims to foster: • Enhanced liveability; • A strengthened expression of town identity; • Expanded sustainable tourism. • Primary challenges & opportunities: • Remoteness; • Two seasons: wet & dry; • Local economy; • Society and Cultural Heritage. The Exhibition Four groups of four students produced four strategic planning and design options toward this future: Mud Maps of Normanton: Rhys Belnap, AJ Humphries, Amos Shirreff, Haiku Van Keuk Normanton: Stay Another Day: Belle Dalton, Tom Jordan, Josh Nielsen, Carla Ramsland The Sweet Spot on the Savannah Way: Daniel Lapham, Yvonne Phillips, Patrick Poon, Dan Young Resilience Through Diversity: Jillian Kenny, Tania Metcher, Stephen Orr, Evan Thompson

A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

Genome-wide association studies (GWAS) have identified 76 variants associated with prostate cancer risk predominantly in populations of European ancestry. To identify additional susceptibility loci for this common cancer, we conducted a meta-analysis of > 10 million SNPs in 43,303 prostate cancer cases and 43,737 controls from studies in populations of European, African, Japanese and Latino ancestry. Twenty-three new susceptibility loci were identified at association P < 5 × 10(-8); 15 variants were identified among men of European ancestry, 7 were identified in multi-ancestry analyses and 1 was associated with early-onset prostate cancer. These 23 variants, in combination with known prostate cancer risk variants, explain 33% of the familial risk for this disease in European-ancestry populations. These findings provide new regions for investigation into the pathogenesis of prostate cancer and demonstrate the usefulness of combining ancestrally diverse populations to discover risk loci for disease.

Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same region.

Prediction of individual genetic risk to prostate cancer using a polygenic score

BACKGROUND Polygenic risk scores comprising established susceptibility variants have shown to be informative classifiers for several complex diseases including prostate cancer. For prostate cancer it is unknown if inclusion of genetic markers that have so far not been associated with prostate cancer risk at a genome-wide significant level will improve disease prediction. METHODS We built polygenic risk scores in a large training set comprising over 25,000 individuals. Initially 65 established prostate cancer susceptibility variants were selected. After LD pruning additional variants were prioritized based on their association with prostate cancer. Six-fold cross validation was performed to assess genetic risk scores and optimize the number of additional variants to be included. The final model was evaluated in an independent study population including 1,370 cases and 1,239 controls. RESULTS The polygenic risk score with 65 established susceptibility variants provided an area under the curve (AUC) of 0.67. Adding an additional 68 novel variants significantly increased the AUC to 0.68 (P = 0.0012) and the net reclassification index with 0.21 (P = 8.5E-08). All novel variants were located in genomic regions established as associated with prostate cancer risk. CONCLUSIONS Inclusion of additional genetic variants from established prostate cancer susceptibility regions improves disease prediction. Prostate 75:1467–1474, 2015. © 2015 Wiley Periodicals, Inc.