Advanced whole-genome approaches for causative variant detection and individual risk prediction of complex traits in human populations.

基因组学时代已经证明了复杂遗传特征的真正复杂性，但也为个性化基因组医学带来了希望，在这种医学中，诊断和治疗是根据个人基因组中记录的特征来定制的。该项目旨在开发先进的统计方法，以更好地检测致病变异并更好地预测个人患病风险。我们的方法可能导致有临床效用的个体疾病风险的预测。

The genomics era has demonstrated the true complexity of complex genetic traits, but brings promise for personalised genomic medicine in which diagnosis and treatment are tailored to individuals based on profiles recorded in their genome. This project aims to develop advanced statistical methods to better detect causative variants and to better predict an individual’s risk of disease. Our methods may lead to predictions of risk of disease for individuals that have clinical utility.