Novel Statistical Methods with Application to Imaging Genetics

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Imaging genetics is a rapidly evolving field that integrates individual medical images with genetic information to assess the impact of genetic variation on brain function and structure. The long term objective of this proposal is to develop novel statistical methods for imaging genetics studies. With the advent of both advanced imaging as well as genotyping techniques, many large biomedical studies have been conducted to collect imaging and genetic data. Conventional approaches for imaging genetics analysis suffer from issues such as heavy computational cost and algorithmic instability, which requires the development of fast and efficient statistical methods.