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Institution

University of Western Australia

EducationPerth, Western Australia, Australia
About: University of Western Australia is a education organization based out in Perth, Western Australia, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 29613 authors who have published 87405 publications receiving 3064466 citations. The organization is also known as: UWA & University of WA.


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Journal ArticleDOI
Sven Cichon1, Nicholas John Craddock2, Mark J. Daly3, Mark J. Daly4, Stephen V. Faraone5, Pablo V. Gejman6, John R. Kelsoe7, Thomas Lehner8, Douglas F. Levinson9, Audra Moran, Pamela Sklar3, Pamela Sklar4, Patrick F. Sullivan10, Richard Anney11, Michael Gill11, Aiden Corvin11, Jan K. Buitelaar12, Barbara Franke12, Josephine Elia13, Hakon Hakonarson13, Lindsey Kent14, J. J. McGough15, Susan L. Smalley16, Roel A. Ophoff16, Eric Mick4, Susan L. Santangelo4, Manuel A. R. Ferreira4, Shaun Purcell4, Douglas M. Ruderfer4, Jordan W. Smoller4, Roy H. Perlis4, Neale Bm4, Jennifer Stone4, Laura Nisenbaum3, Anita Thapar2, Valentina Moskvina2, Peter Holmans2, Michael Conlon O'Donovan2, Michael John Owen2, Richard D. Todd17, Alexandre A. Todorov17, John P. Rice17, Bernie Devlin18, Dan E. Arking19, Aravinda Chakravarti19, James B. Potash19, Ann E. Pulver19, Joseph D. Buxbaum20, Edwin H. Cook21, Leena Peltonen22, Jaana Suvisaari22, Joseph Piven10, Danyu Lin10, Patrick Sullivan10, Guy A. Rouleau23, Phillip Awadalla23, Gerard D. Schellenberg24, Stephen W. Scherer25, James S. Sutcliffe26, Peter Szatmari27, Veronica J. Vieland, Ole A. Andreassen28, Arnoldo Frigessi28, Douglas Blackwood29, Walter J. Muir29, Michael Boehnke30, Margit Burmeister30, Matthew Flickinger30, Weihua Guan30, Jun Li30, Laura J. Scott30, René Breuer, Marcella Rietschel, Thomas G. Schulze, Tiffany A. Greenwood7, Nicholas J. Schork7, Hugh Gurling31, Pierandrea Muglia32, Ruchi Upmanyu32, Federica Tozzi32, Markus M. Noethen1, Thomas F. Wienker1, Michael Steffens1, John I. Nurnberger33, Kenneth S. Kendler34, Brien P. Riley34, Edwin J. C. G. van den Oord34, Dorret I. Boomsma35, Eco J. C. de Geus35, Witte J.G. Hoogendijk35, Brenda W.J.H. Penninx35, A.H.M. Willemsen35, Danielle Posthuma35, William Coryell36, S. P. Hamilton37, Stafam Kloiber, Susanne Lucae, Stephan Ripke, William Lawson38, Cathryn M. Lewis39, P. McGuffin39, Nicholas G. Martin40, Naomi R. Wray40, Patrick J. McGrath41, Myrna M. Weissman41, James Offord42, William A. Scheftner43, Susan L. Slager44, Ayman H. Fanous45, Christina M. Hultman46, Sari Kivikko47, Claudine Laurent, Todd Lencz, Anil K. Malhotra, Bryan J. Mowry48, Elizabeth G. Holliday48, Alan R. Sanders6, Sibylle G. Schwab15, Dieter Wildenaver15, David St Clair49, Frank Dudbridge, Eve H. Pickering42, Jonathan Sebat, Jung-Ying Tzeng50 
TL;DR: GWAS methods have detected a remarkable number of robust genetic associations for dozens of common diseases and traits, leading to new pathophysiological hypotheses, although only small proportions of genetic variance have been explained thus far and therapeutic applications will require substantial further effort.
Abstract: Objective: The authors conducted a review of the history and empirical basis of genomewide association studies (GWAS), the rationale for GWAS of psychiatric disorders, results to date, limitations, and plans for GWAS meta-analyses. Method: A literature review was carried out, power and other issues discussed, and planned studies assessed. Results: Most of the genomic DNA sequence differences between any two people are common (frequency >5%) single nucleotide polymorphisms (SNPs). Because of localized patterns of correlation (linkage disequilibrium), 500,000 to 1,000,000 of these SNPs can test the hypothesis that one or more common variants explain part of the genetic risk for a disease. GWAS technologies can also detect some of the copy number variants (deletions and duplications) in the genome. Systematic study of rare variants will require large-scale resequencing analyses. GWAS methods have detected a remarkable number of robust genetic associations for dozens of common diseases and traits, leading to new pathophysiological hypotheses, although only small proportions of genetic variance have been explained thus far and therapeutic applications will require substantial further effort. Study design issues, power, and limitations are discussed. For psychiatric disorders, there are initial significant findings for common SNPs and for rare copy number variants, and many other studies are in progress. Conclusions: GWAS of large samples have detected associations of common SNPs and of rare copy number variants with psychiatric disorders. More findings are likely, since larger GWAS samples detect larger numbers of common susceptibility variants, with smaller effects. The Psychiatric GWAS Consortium is conducting GWAS meta-analyses for schizophrenia, bipolar disorder, major depressive disorder, autism, and attention deficit hyperactivity disorder. Based on results for other diseases, larger samples will be required. The contribution of GWAS will depend on the true genetic architecture of each disorder.

434 citations

Journal ArticleDOI
TL;DR: Breeding for resistance (genetic, disease escape or tolerance), stubble management, crop rotation and fungicide seed treatments are important strategies for control of phoma stem canker in all areas.
Abstract: Phoma stem canker (blackleg), caused by Leptosphaeria maculans, is an important disease on oilseed rape (canola, rapeseed, Brassica napus, Brassica juncea, Brassica rapa) causing seedling death, lodging or early senescence in Australia, Canada and Europe, but not in China. The two forms of L. maculans (A group and B group) that occur on oilseed rape are now considered to be separate species. The epidemiology and severity of phoma stem canker differs between continents due to differences in the pathogen population structure, oilseed rape species and cultivars grown, climate and agricultural practices. Epidemics are most severe in Australia, where only the A group occurs, and can be damaging in Canada and western Europe, where both A and B groups occur, although their proportions vary within regions and throughout the year. Epidemics are slight in China, where the A group has not been found. Dry climates (Australia, western Canada) lengthen the persistence of infected debris and may synchronize the release of airborne ascospores (after rain) with seedling emergence. L. maculans spreads from cotyledon and leaf infections down petioles to reach the stem, with infections on cotyledons and leaves early in the season producing the most damaging stem cankers at the stem base (crown). Development of both crown cankers and phoma stem lesions higher up stems is most rapid in regions with high temperatures from flowering to harvest, such as Australia and Canada. Breeding for resistance (genetic, disease escape or tolerance), stubble management, crop rotation and fungicide seed treatments are important strategies for control of phoma stem canker in all areas. Fungicide spray treatments are justified only in regions such as western Europe where high yields are obtained, and accurate forecasts of epidemic severity are needed to optimize their use.

433 citations

Journal ArticleDOI
TL;DR: In this paper, the authors define a broad group of low-Ti iron oxide-associated deposits that include iron oxide (P-rich), iron oxides and/or iron silicates intimately associated with, but generally paragenetically older than, Fe-Cu sulfides, have LREE enrichment and low S sulfides (lack of abundant pyrite), lack widespread quartz veins or silicification, and show a clear temporal, but not close spatial, relationship to major magmatic intrusions.
Abstract: The iron oxide copper-gold (IOCG) group of deposits, initially defined following discovery of the giant Olympic Dam Cu-U-Au deposit, has progressively become too-embracing when associated deposits and potential end members or analogs are included. The broader group includes several low Ti iron oxide-associated deposits that include iron oxide (P-rich), iron oxide (F- and REE-rich), Fe or Cu-Au skarn, high-grade iron oxide-hosted Au ± Cu, carbonatite-hosted (Cu-, REE-, and F-rich), and IOCG sensu stricto deposits. Consideration of this broad group as a whole obscures the critical features of the IOCG sensu stricto deposits, such as their temporal distribution and tectonic environment, thus leading to difficulties in developing a robust exploration model. The IOCG sensu stricto deposits are magmatic-hydrothermal deposits that contain economic Cu and Au grades, are structurally controlled, commonly contain significant volumes of breccia, are commonly associated with presulfide sodic or sodic-calcic alteration, have alteration and/or brecciation zones on a large, commonly regional, scale relative to economic mineralization, have abundant low Ti iron oxides and/or iron silicates intimately associated with, but generally paragenetically older than, Fe-Cu sulfides, have LREE enrichment and low S sulfides (lack of abundant pyrite), lack widespread quartz veins or silicification, and show a clear temporal, but not close spatial, relationship to major magmatic intrusions. These intrusions, where identified, are commonly alkaline to subalkaline, mixed mafic (even ultramafic) to felsic in composition, with evidence for mantle derivation of at least the mafic end members of the suite. The giant size of many of the deposits and surrounding alteration zones, the highly saline ore fluids, and the available stable and radiogenic isotope data indicate release of deep, volatile-rich magmatic fluids through devolatization of causative, mantle-derived magmas and variable degrees of mixing of these magmatic fluids with other crustal fluids along regional-scale fluid flow paths. Precambrian deposits are the dominant members of the IOCG group in terms of both copper and gold resources. The 12 IOCG deposits with >100 tonnes (t) resources are located in intracratonic settings within about 100 km of the margins of Archean or Paleoproterozoic cratons or other lithospheric boundaries, and formed 100 to 200 m.y. after supercontinent assembly. Their tectonic setting at formation was most likely anorogenic, with magmatism and associated hydrothermal activity driven by mantle underplating and/or plumes. Limited amounts of partial melting of volatile-rich and possibly metal-enriched metasomatized early Precambrian subcontinental lithospheric mantle (SCLM), fertilized during earlier subduction, probably produced basic to ultrabasic magmas that melted overlying continental crust and mixed with resultant felsic melts, with devolatilization and some penecontemporaneous incorporation of other lower to middle crustal fluids to produce the IOCG deposits. Preservation of near-surface deposits, such as Olympic Dam, is probably due to their formation above buoyant and refractory SCLM, which resisted delamination and associated uplift. Most Precambrian iron oxide (P-rich) or magnetite-apatite (Kiruna-type) deposits have a different temporal distribution, apparently forming in convergent margin settings prior to or following supercontinent assembly. It is only in the Phanerozoic that IOCG and magnetite-apatite deposits are roughly penecontemporaneous in convergent margin settings. The Phanerozoic IOCG deposits, such as Candelaria, Chile, occur in anomalous extensional to transtensional zones in the Coastal Cordillera, which are also the sites of mantle-derived mafic to felsic intrusions that are anomalous in an Andean context. This implies that special conditions, possibly detached slabs of metasomatized SCLM, may be required in convergent margin settings to generate world-class IOCG deposits. It is likely that formation of giant IOCG deposits was mainly a Precambrian phenomenon related to the extensive mantle underplating that impacted on buoyant metasomatized SCLM. Generally smaller and rarer Phanerozoic IOCG deposits formed in tectonic settings where conditions similar to those in the Precambrian were replicated.

433 citations

Journal ArticleDOI
TL;DR: Understanding the role of plant-microbe-soil interactions in governing nutrient availability in the rhizosphere will enhance the economic and environmental sustainability of crop production.
Abstract: Crop nutrition is frequently inadequate as a result of the expansion of cropping into marginal lands, elevated crop yields placing increasing demands on soil nutrient reserves, and environmental and economic concerns about applying fertilizers. Plants exposed to nutrient deficiency activate a range of mechanisms that result in increased nutrient availability in the rhizosphere compared with the bulk soil. Plants may change their root morphology, increase the affinity of nutrient transporters in the plasma membrane and exude organic compounds (carboxylates, phenolics, carbohydrates, enzymes, etc.) and protons. Chemical changes in the rhizosphere result in altered abundance and composition of microbial communities. Nutrient-efficient genotypes are adapted to environments with low nutrient availability. Nutrient efficiency can be enhanced by targeted breeding through pyramiding efficiency mechanisms in a desirable genotype as well as by gene transfer and manipulation. Rhizosphere microorganisms influence nutrient availability; adding beneficial microorganisms may result in enhanced availability of nutrients to crops. Understanding the role of plant-microbe-soil interactions in governing nutrient availability in the rhizosphere will enhance the economic and environmental sustainability of crop production.

432 citations

Journal ArticleDOI
TL;DR: An algorithm for the detection of highly repeatable keypoints on 3D models and partial views of objects and an automatic scale selection technique for extracting multi-scale and scale invariant features to match objects at different unknown scales are presented.
Abstract: 3D object recognition from local features is robust to occlusions and clutter However, local features must be extracted from a small set of feature rich keypoints to avoid computational complexity and ambiguous features We present an algorithm for the detection of such keypoints on 3D models and partial views of objects The keypoints are highly repeatable between partial views of an object and its complete 3D model We also propose a quality measure to rank the keypoints and select the best ones for extracting local features Keypoints are identified at locations where a unique local 3D coordinate basis can be derived from the underlying surface in order to extract invariant features We also propose an automatic scale selection technique for extracting multi-scale and scale invariant features to match objects at different unknown scales Features are projected to a PCA subspace and matched to find correspondences between a database and query object Each pair of matching features gives a transformation that aligns the query and database object These transformations are clustered and the biggest cluster is used to identify the query object Experiments on a public database revealed that the proposed quality measure relates correctly to the repeatability of keypoints and the multi-scale features have a recognition rate of over 95% for up to 80% occluded objects

432 citations


Authors

Showing all 29972 results

NameH-indexPapersCitations
Nicholas G. Martin1921770161952
Cornelia M. van Duijn1831030146009
Kay-Tee Khaw1741389138782
Steven N. Blair165879132929
David W. Bates1591239116698
Mark E. Cooper1581463124887
David Cameron1541586126067
Stephen T. Holgate14287082345
Jeremy K. Nicholson14177380275
Xin Chen1391008113088
Graeme J. Hankey137844143373
David Stuart1361665103759
Joachim Heinrich136130976887
Carlos M. Duarte132117386672
David Smith1292184100917
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023138
2022656
20215,967
20205,589
20195,452
20184,923