Monthly Archives: March 2010

Ethical approval – too strict on methodological research?

This week in Trials McKenzie and colleagues present their experience of obtaining ethical approval for a methodological study that planned to compare ethics committee applications with the published results of randomized controlled trials. Obstacles to researching the researchers: A case study of the ethical challenges of undertaking methodological research investigating the reporting of randomised controlled… Read more »

Alzheimer genetics in the post-GWAS era

Genome-wide association studies (GWASs) published in the last two years have confirmed the role of APOE as a genetic risk-factor for late-onset Alzheimer’s disease as well as proposing a host of other potential candidate genes. However, despite their success in revealing common genetic factors for complex diseases, it is unclear whether GWASs are able to… Read more »

Highlights from the latest issue of Arthritis Research & Therapy

In each print edition of Arthritis Research & Therapy the Editors-in-Chief, Profs Ravinder Maini and Peter Lipsky, highlight articles that are of special interest to the journal’s readership – the Editors’ choice. In the latest issue, a feasibility trial by Ng and colleagues found that a combination of glucosamine sulphate supplementation and walking for approximately… Read more »

Wiki-based integration of genomic data

A new Wiki portal for collaborative annotation and analysis of congenital heart defects, recently described in Genome Medicine, highlights the potential of this technology for systems biology studies of other complex biological processes. Inspired by the well-known Wikipedia, Barriot and colleagues describe CHDWiki, a Wiki knowledge base for congenital heart defects (CHDs), which integrates gene… Read more »

Calculating genetic risk from multiple loci

Research recently published in Genome Medicine shows that a widely-accepted model for predicting genetic risk of disease is not realistic when it is applied to current human disease data. Three other models provide a better fit to these data but are indistinguishable from each other. Naomi Wray and Michael Goddard, from Queensland Institute of Medical… Read more »