Towards personalised medicine in psychiatric genetics: the role of cardio-metabolic traits in severe mental illness.

患有严重精神疾病的人，如抑郁症、精神分裂症或双相情感障碍，面临比一般人早15-20岁死亡的风险。这在很大程度上是由于心脏代谢疾病，包括心脏病、2型糖尿病、中风、高血压和肥胖。严重的精神疾病和心脏代谢疾病都会对我们的医疗体系产生负面影响，但这两种疾病的结合会使情况变得更糟。一些用于治疗严重精神疾病的药物会导致体重增加，这与肥胖风险增加有关，从而使严重精神疾病与心脏代谢特征之间的关联进一步复杂化，并增加死亡风险。严重的精神疾病和心脏代谢疾病之间的联系不仅仅是由生活方式的选择或药物治疗造成的，遗传因素可能也起到了作用。最近的研究表明，严重精神疾病和心脏代谢特征都受到基因的部分影响，一些研究还表明，与严重精神疾病有关的基因也可能与心脏代谢疾病有关。在这个项目中，我的目标是使用统计技术结合大型遗传数据集和电子健康记录数据来测试严重精神疾病和心脏代谢特征之间的遗传重叠，以便更好地了解它们是如何相关的。我还将创建统计模型，以测试哪些心脏代谢特征最能预测严重精神疾病的临床结果和治疗反应。这最终将有助于及早发现那些患有严重精神疾病的人，这些人是心脏代谢疾病的高危人群，并可能为药物或预防策略的选择提供信息，从而减轻严重精神疾病的心脏代谢特征的负担。

People with severe mental illness, such as depression, schizophrenia, or bipolar disorder, are at risk of dying up to 15-20 years before the general population. This is largely due to cardio-metabolic disease, including heart disease, type 2 diabetes, stroke, high blood pressure and obesity. Both severe mental illness and cardio-metabolic disease have a negative impact on our healthcare system, but the combination of the two makes this situation worse. Some medications used to treat severe mental illness lead to weight gain, which is linked to an increased risk of obesity, further complicating the association between severe mental illness and cardio-metabolic traits, and adding to the increased mortality risk. The association between severe mental illness and cardio-metabolic disease is not solely caused by lifestyle choices or medication, it is likely that genetic factors also play a role. Recent studies have shown that both severe mental illness and cardio-metabolic traits are partly influenced by genes, and some studies have also indicated that genes involved in severe mental illness may also be involved in cardio-metabolic disease. In this project, I aim to use statistical techniques on a combination of large genetic datasets and electronic health record data to test the genetic overlap between severe mental illness and cardio-metabolic traits in order to better understand how they are related. I will also create statistical models to test which cardio-metabolic traits best predict clinical outcomes and treatment response in severe mental illness. This will eventually help early detection of those individuals with severe mental illness at high risk for cardio-metabolic disease and could inform the choice of medication or preventive strategies, thereby reducing the burden of cardio-metabolic traits in severe mental illness.