Towards understanding cell types relevant for psychiatric disorders

For our next talk, in the BDI/CHG (gen)omics Seminar series, we will be hearing from Prof Naomi Wray, Michael Davys Professor of Neuroscience, Department of Psychiatry & Big Data Institute, University of Oxford; Professorial Fellow, Institute for Molecular Bioscience, University of Queensland, Australia. We’re delighted to host Prof Wray in what promises to be a great talk!

Date: Tuesday 28 May
Time: 9:30 am – 10:30 am
Talk title: Towards understanding cell types relevant for psychiatric disorders
Location: Big Data Institute Seminar Room 1

Abstract: Genome-wide association studies of the last decade have demonstrated that psychiatric disorders are more polygenic than other common complex diseases. The cell-types and developmental stage implicated by genetic risk associations is a key research question for post-GWAS analysis. I will focus on various post-GWAS methodological approaches to address this question, and some of our unpublished results.

Bio: Naomi Wray is a quantitative geneticist who works on methods for genetic analysis of common complex diseases, particularly psychiatric disorders. She joined the University of Oxford in June 2023
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All members of the University are welcome to join, please let reception at BDI know you’re here for the seminar and sign-in. We hope you can join us!

We also now have a mailing list –
To be added, ping genomics_bdi_whg-subscribe@maillist.ox.ac.uk (with any message), you should get a bounce-back with three options to confirm your subscription. Follow any of those options, and with a bit of luck you should be signed up!

As a reminder, the (gen)omics seminar series runs every other Tuesday morning and is intended to increase interaction between individuals working in genomics across Oxford. We encourage in-person attendance where possible. There is time for discussion over, tea, coffee and pastries after the talks.

Hybrid Option:
Please note that these meetings are closed meetings and only open to members of the University of Oxford to encourage sharing of new and unpublished data. Please respect our speakers and do not share the link with anyone outside of the university.

Microsoft Teams meeting –
Meeting ID: 332 118 134 047
Passcode: fWWJ6m
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