Brain and mental health

Genetic factors influencing acne and their shared links with other traits

PhD, Masters or Honours project. Seeking a motivated student, ideally with a background in genetics, epidemiology or statistics, to contribute to a dry-lab, analysis focused research project.

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Project Supervisors

Brittany Mitchell

Dr Brittany Mitchell

Team Head

Background

Acne is a common skin condition that primarily affects the face and varies widely in both severity and treatment response. In its more severe forms, inflamed lesions can lead to permanent scarring, which has been linked to long-term psychosocial consequences. While environmental factors such as diet, hygiene, and skincare contribute to acne risk, genetic influences also play a significant role. Previous genome-wide association studies (GWAS) have identified genetic variants associated with acne risk, as well as shared genetic architecture with other conditions, including hormone-related cancers. These findings implicate pathways related to immune function, sebum production, and hormonal regulation in acne pathogenesis. However, further research is needed to understand how genetic risk factors contribute to acne development and severity, and to better characterize potential shared genetic architecture with other conditions.


Aim

This project aims to explore the genetic basis of acne by:

  • Identifying genetic variants associated with acne risk and severity.
  • Investigating whether genetic risk for acne overlaps with other conditions such as depression or metabolic traits.
  • Evaluating the predictive power of polygenic risk scores (PRS) for acne.

Approach

The project will utilize data from large genetic studies, including the largest GWAS of acne to date. Genetic risk scores will be calculated and compared across different acne severity groups. Genetic correlation analyses will assess shared genetic risk factors between acne and other conditions. Statistical analyses will be conducted using software such as PLINK and R.


Project Potential

This project offers the opportunity to gain experience in genetic epidemiology, bioinformatics, and statistical genetics, with potential implications for understanding acne pathophysiology and informing personalized treatment strategies.



Apply

Interested in applying?
Contact the supervisors below.