1Queensland Brain Institute, University of Queensland, St Lucia, Queensland, Australia; 2Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Richlands, Australia; 3National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark; 4Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Aarhus, Denmark; 5The Lundbeck Foundation Initia...

UNLABELLED The Web-Based GeneChip Analysis System (WGAS) is developed to overcome limitations in analysis setup efficiency, data and procedure sharing, as well as security issues in existing commercial and public domain solutions. It also incorporates unique functions and resources for more accurate and flexible GeneChip analysis. AVAILABILITY WGAS is freely available at: http://arrayanalysis...

Genome-wide association studies (GWAS) have emerged as a new approach for investigating the genetic basis of complex diseases. In oncology, genome-wide studies of nearly all common malignancies have been performed and more than 100 genetic variants associated with increased risks have been identified. GWAS approaches are powerful research tools that are revealing novel pathways important in car...

Large-scale genome-wide association studies (GWAS) identified BIN1 gene rs744373 polymorphism to be significantly associated with Alzheimer's disease (AD) in Caucasian ancestry. Recently, this polymorphism was also investigated in East Asian population. However, no study reported significant association. We consider that the failure to replicate significant association between rs744373 polymorp...

High-throughput experimental methods such as medical sequencing and genome-wide association studies (GWAS) identify increasingly large numbers of potential relations between genetic variants and diseases. Both biological complexity (millions of potential gene-disease associations) and the accelerating rate of data production necessitate computational approaches to prioritize and rationalize pot...

The potential of genome-wide association analysis can only be realized when they have power to detect signals despite the detrimental effect of multiple testing on power. We develop a weighted multiple testing procedure that facilitates the input of prior information in the form of groupings of tests. For each group a weight is estimated from the observed test statistics within the group. Diffe...

Genome-wide association study in collies identifies a novel locus for dermatomyositis"

Model selection procedures for simultaneous analysis of all single-nucleotide polymorphisms in genome-wide association studies are most suitable for making full use of the data for a complex disease study. In this paper we consider a penalized regression using the LASSO procedure and show that post-processing of the penalized-regression results with subsequent stepwise selection may lead to imp...

As our understanding of genetics has improved, genome-wide association studies (GWAS) have identified numerous variants associated with lifestyle behaviours and health outcomes. However, what is sometimes overlooked is the possibility that genetic variants identified in GWAS of disease might reflect the effect of modifiable risk factors as well as direct genetic effects. We discuss this possibi...

The new GWAS from the Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) clearly validates a genetic approach to understanding schizophrenia. The challenge now remains to track down the contributing genes and to develop appropriate models to elucidate the biological effects of the contributing variants.