讲座题目：A novel classification framework for genome-wide association study of whole brain MRI images using deep learning

主讲人：秦昭晖 教授（埃默里大学）

讲座时间：2025年10月27日上午10:00时

讲座地点：理学院201会议室

欢迎有兴趣的师生前来聆听、交流。

理学院

2025年10月17日

讲座内容简介：

Genome-wide association studies (GWASs) have been widely applied in the neuroimaging field to discover genetic variants associated with brain-related traits. So far, almost all GWASs conducted in neuroimaging genetics are performed on univariate quantitative features summarized from brain images. On the other hand, powerful deep learning technologies have dramatically improved our ability to classify images. In this study, we proposed and implemented a novel machine learning strategy for systematically identifying genetic variants that lead to detectable nuances on Magnetic Resonance Images (MRI). For a specific single nucleotide polymorphism (SNP), if MRI images labeled by genotypes of this SNP can be reliably distinguished using machine learning, we then hypothesized that this SNP is likely to be associated with brain anatomy or function which is manifested in MRI brain images. We applied this strategy to a catalog of MRI image and genotype data collected by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) consortium. From the results, we identified novel variants that show strong association to brain phenotypes.

主讲人简介：

秦昭晖博士现任美国埃默里大学生物统计与生物信息学教授。秦昭晖1994年本科毕业于北京大学。2000年在密西根大学获得统计学博士学位。然后在哈佛大学接受博士后训练。并曾在密西根大学生物统计系担任助理教授。秦博士在生物信息学，计算生物学，基因组学及统计遗传学等领域有丰富研究经验。目前已发表一百四十多篇同行评议的研究论文。秦博士目前的主要研究兴趣在高通量组学数据分析，以及利用统计建模和机器学习等方法进行组学大数据的数据挖掘和分析。