Statistical methods for identifying genes involved in common complex disease

更好地了解常见疾病（如黑色素瘤、精神疾病）的遗传成分可能会改善公共卫生。疾病易感基因位点的鉴定是目前增加我们对许多常见疾病的生化和发育途径的理解的主要手段之一。该应用程序将专注于开发新的统计遗传学方法，以更好地了解遗传变异，并允许更有效的基因定位。

Better understanding of the genetic component of common diseases (e.g. melanoma, psychiatric disorders) is likely to lead to improved public health. Identification of disease susceptibility loci is currently one of the primary means for increasing our understanding of the biochemical and developmental pathways involved in many common diseases. This application will focus on developing new statistical genetic methods to better understand genetic variation and to allow more effective gene mapping.