The University of Queensland

A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

Genetic studies of body mass index yield new insights for obesity biology

10 Years of GWAS Discovery: Biology, Function, and Translation

The Cambridge Grammar of the English Language

This book presents a new and comprehensive descriptive grammar of English, written by the principal authors in collaboration with an international research team of a dozen linguists in five countries. It represents a major advance over previous grammars by virtue of drawing systematically on the linguistic research carried out on English during the last forty years. It incorporates insights from the theoretical literature but presents them in a way that is accessible to readers without formal training in linguistics. It is based on a sounder and more consistent descriptive framework than previous large-scale grammars, and includes much more explanation of grammatical terms and concepts, together with justification for the ways in which the analysis differs from traditional grammar. The book contains twenty chapters and a guide to further reading. Its usefulness is enhanced by diagrams of sentence structure, cross-references between sections, a comprehensive index, and user-friendly design and typography throughout.

Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Schizophrenia has a heritability of 60–80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or untranslated region variation. We also implicate fundamental processes related to neuronal function, including synaptic organization, differentiation and transmission. Fine-mapped candidates were enriched for genes associated with rare disruptive coding variants in people with schizophrenia, including the glutamate receptor subunit GRIN2A and transcription factor SP4, and were also enriched for genes implicated by such variants in neurodevelopmental disorders. We identify biological processes relevant to schizophrenia pathophysiology; show convergence of common and rare variant associations in schizophrenia and neurodevelopmental disorders; and provide a resource of prioritized genes and variants to advance mechanistic studies. A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

The Cambridge Grammar of the English Language

Publisher description: This book presents a new and comprehensive descriptive grammar of English, written by the principal authors in collaboration with an international research team of a dozen linguists in five countries. It represents a major advance over previous grammars by virtue of drawing systematically on the linguistic research carried out on English during the last forty years. It incorporates insights from the theoretical literature but presents them in a way that is accessible to readers without formal training in linguistics. It is based on a sounder and more consistent descriptive framework than previous large-scale grammars, and includes much more explanation of grammatical terms and concepts, together with justification for the ways in which the analysis differs from traditional grammar. The book contains twenty chapters and a guide to further reading. Its usefulness is enhanced by diagrams of sentence structure, cross-references between sections, a comprehensive index, and user-friendly design and typography throughout.

Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies. Genome-wide association analyses of 41,917 bipolar disorder cases and 371,549 controls of European ancestry provide new insights into the etiology of this disorder and identify novel therapeutic leads and potential opportunities for drug repurposing.

The future of quantum biology

Biological systems are dynamical, constantly exchanging energy and matter with the environment in order to maintain the non-equilibrium state synonymous with living. Developments in observational techniques have allowed us to study biological dynamics on increasingly small scales. Such studies have revealed evidence of quantum mechanical effects, which cannot be accounted for by classical physics, in a range of biological processes. Quantum biology is the study of such processes, and here we provide an outline of the current state of the field, as well as insights into future directions.