Identifying unintentional effects of medication using statistical genetics analyses of large-scale genetic and genomic data

越来越多的研究强调了药物的未知副作用，例如，使用他汀类药物降低胆固醇会增加患2型糖尿病的风险。确认这些效应的黄金标准方法是随机对照试验，这可能并不总是可行或合乎道德的，而且非常昂贵。该项目旨在将创新的统计遗传学方法应用于(遗传和基因组)‘大数据’，以预测常用处方药的未知效果。

An increasing number of studies have highlighted unknown adverse effects of medication, for example, use of statins to lower cholesterol with increased risk of type 2 diabetes. The gold standard approach to confirm these effects is randomised control trials, which may not always be feasible or ethical, and are very expensive. This project aims to apply innovative statistical genetics approaches to (genetic and genomic) 'big-data' to predict unknown effects of commonly prescribed medications.