Background
Neuropsychiatric disorders have been demonstrated to have strong heritable components, allowing research to focus on, and differentiate between, the genetic and environmental risk factors which contribute to these disorders. The diagnosis of one europsychiatric disorder is associated with an increased risk that someone will also have other diagnoses, including both physical diseases and other neuropsychiatric disorders. Examining the shared and unique genetic risk factors underlying the relationship between these comorbidities can break down variations in genetic influences, elucidate shared aetiology, and improve treatment options and outcomes. In this project, students can build their research question around neuropsychiatric disorders they have an interest in and choose which comorbidities to explore.
Approach
Students will develop their ability to identify gaps in the literature and formulate an appropriate research question to fill this gap with assistance from supervisors, and be trained to use a diverse set of methodologies in bioinformatics in addition to coding languages.
- Genome-Wide Association Studies
- Genomic Structural Equation Modelling
- Linkage Disequilibrium Score Regression
- RStudio & Bash
Outcome
Students will identify shared and/or unique genetic risk factors of their chosen comorbidities. Students will gain proficiency in versatile skill sets, including bioinformatics approaches, statistical analysis, problem-solving, and communication. The project offers strong potential for the publication of the research in a journal, while working with a diverse team passionate about supporting new researchers.
Required Skills or Experience
We seek motivated Honours students interested in genetics, statistics, and bioinformatics. Some background in psychology or genetics may be helpful, but is not required for success.