Mina Ryten, MD, PhD

Mina Ryten is an MBPhD graduate (Cambridge & UCL) and practising clinical geneticist. Her PhD focused on purinergic signalling in skeletal muscle (Professor Burnstock, UCL), but she then completed an MRC postdoctoral fellowship in bioinformatics (UCL). This experience shaped her clinical and research interests. Funded by an MRC Fellowship, since 2017, Dr. Ryten has led her own research group focusing on the human brain transcriptome as a functional read-out of an individual’s DNA—a read-out that can inform the understanding of adult neurological diseases. In the sphere of rare neurogenetic diseases she uses correlations in transcriptomic data to identify hidden gene-gene relationships amongst Mendelian genes. In the context of complex diseases, such as Parkinson’s Disease, she has helped generate and use regulatory data to link risk loci to genes. Thus, Dr. Ryten has developed expertise in the generation and use of human brain transcriptomic data with a specific focus on neurodegenerative diseases.

University College London | London, United Kingdom
Co-Investigator

Mina Ryten, MD, PhD

University College London

Mina Ryten is an MBPhD graduate (Cambridge & UCL) and practising clinical geneticist. Her PhD focused on purinergic signalling in skeletal muscle (Professor Burnstock, UCL), but she then completed an MRC postdoctoral fellowship in bioinformatics (UCL). This experience shaped her clinical and research interests. Funded by an MRC Fellowship, since 2017, Dr. Ryten has led her own research group focusing on the human brain transcriptome as a functional read-out of an individual’s DNA—a read-out that can inform the understanding of adult neurological diseases. In the sphere of rare neurogenetic diseases she uses correlations in transcriptomic data to identify hidden gene-gene relationships amongst Mendelian genes. In the context of complex diseases, such as Parkinson’s Disease, she has helped generate and use regulatory data to link risk loci to genes. Thus, Dr. Ryten has developed expertise in the generation and use of human brain transcriptomic data with a specific focus on neurodegenerative diseases.