The information that gathers in our wake as we move through life and health centre or hospital waiting rooms is a powerful tool for medical research. Cecily Berryman tells us how a health emergency brought discussions about data science to the heart of her family.
Three years ago my husband suddenly became very ill. He needed emergency surgery to fix a tear in his aorta, the huge artery that carries blood as it pumps away from the heart. Afterwards the surgeon called it an ‘acute aortic dissection’ and mentioned it was likely to be a connective tissue disorder that has a genetic cause. Extensive testing revealed it was not a known disorder.
Reproducibility isn’t something that can be solved without considering the bigger research picture. So as part of efforts to improve the quality of research, we’ve collected tips and resources – relevant to each stage of the research process – from across the MRC community to help. Isabel Baker reports.
Methods are us
Good science needs good methods. Good methods ensure that health research and policy are built on the best possible evidence. Using robust, bullet-proof methods that are reliable and repeatable can also improve efficiency. Efficiency is important, as it’s not just taxpayers’ money at stake; valuable samples from humans and animals can often be used only once, and time donated by volunteers is precious.
To understand the roles of different genes, Dr James Brown and colleagues at the MRC Harwell Institute are part of a project trying to find out what every single mouse gene does. To help speed things along, they have developed new software to analyse images of mouse embryos.
Our 20,000 genes provide the instructions for everything our body does. But we don’t yet know what each one is responsible for. We share 90 percent of our genes with mice so finding out their ‘function’ could help us understand more about human disease. Read more