Dr Cathryn Lewis (@cathrynlewis) 's Twitter Profile
Dr Cathryn Lewis

@cathrynlewis

Professor of Statistical Genetics. Head of @SGDPCentreKCL. Genetics. Psychiatry. Pharmacogenetics. Executive Director, @PGCgenetics. All views mine

ID: 119867076

linkhttps://www.kcl.ac.uk/research/sgu calendar_today04-03-2010 20:49:34

7,7K Tweet

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2,2K Following

Katrina Davis (@kdavis_kasd2) 's Twitter Profile Photo

Check out our brand new timeline of UK Biobank data collection, part of our new preprint on mental health research lnkd.in/eXxNQp9g #uk_biobank #openscience @MatthewHotopf Andrew McIntosh @Joni_Coleman

Check out our brand new timeline of <a href="/uk_biobank/">UK Biobank</a> data collection, part of our new preprint on mental health research lnkd.in/eXxNQp9g  #uk_biobank #openscience @MatthewHotopf <a href="/mcintosh2001/">Andrew McIntosh</a> @Joni_Coleman
Louise Arseneault (@l_arseneault) 's Twitter Profile Photo

🗺️The Atlas of Longitudinal Datasets, our all-new Wellcome-funded research platform designed to increase the discoverability of longitudinal data across the world, is almost ready to launch! Sign up to be invited to our exclusive launch webinar -> landscaping-longitudinal-research.com/webinar

🗺️The Atlas of Longitudinal Datasets, our all-new <a href="/wellcometrust/">Wellcome</a>-funded research platform designed to increase the discoverability of longitudinal data across the world, is almost ready to launch! Sign up to be invited to our exclusive launch webinar -&gt; landscaping-longitudinal-research.com/webinar
NIHR Maudsley Biomedical Research Centre (BRC) (@nihrmaudsleybrc) 's Twitter Profile Photo

New research Institute of Psychiatry, Psychology & Neuroscience has evaluated artificial intelligence-based metabolomic 'ageing clocks', which predict health and lifespan using data from blood. It was published in Science Advances and funded by National Institute for Health and Care Research, using data from UK Biobank. maudsleybrc.nihr.ac.uk/posts/2024/dec…

New research <a href="/KingsIoPPN/">Institute of Psychiatry, Psychology & Neuroscience</a> has evaluated artificial intelligence-based metabolomic 'ageing clocks', which predict health and lifespan using data from blood.

It was published in <a href="/ScienceAdvances/">Science Advances</a> and funded by <a href="/NIHRresearch/">National Institute for Health and Care Research</a>, using data from <a href="/uk_biobank/">UK Biobank</a>.

maudsleybrc.nihr.ac.uk/posts/2024/dec…
Dr Cathryn Lewis (@cathrynlewis) 's Twitter Profile Photo

#PhD applications for DRIVE-Health at King's College London now open. Interested in analysing electronic health record data to build models to predict response to antidepressants? Check out Project 2025-60 with me, Angus Roberts & Tao Wang drive-health.org.uk/projectpages/p… #EHR

Dr Cathryn Lewis (@cathrynlewis) 's Twitter Profile Photo

Delighted to see our PGC MDD GWAS now published ⬇️ Thanks to all study participants, researchers, analysts who have contributed to this mammoth project

NIHR Maudsley Biomedical Research Centre (BRC) (@nihrmaudsleybrc) 's Twitter Profile Photo

Researchers King's College London and The University of Edinburgh (funded by @NIHRResearch and others) have identified new genetic risk factors for #depression across all major global populations for the first time. maudsleybrc.nihr.ac.uk/posts/2025/jan…

Researchers <a href="/KingsCollegeLon/">King's College London</a> and <a href="/EdinburghUni/">The University of Edinburgh</a> (funded by @NIHRResearch and others) have identified new genetic risk factors for #depression across all major global populations for the first time. maudsleybrc.nihr.ac.uk/posts/2025/jan…
Lachlan Gilchrist (@lgilchrist1) 's Twitter Profile Photo

🚨So delighted to see this work looking at the genetic overlap between depression symptoms and Alzheimer’s disease now published in Nature Mental Health Springer Nature🚨 Read the paper here: 👉 nature.com/articles/s4422…

Dr Cathryn Lewis (@cathrynlewis) 's Twitter Profile Photo

New paper from Julian Mutz extending his metabolic aging clocks to examine whether people with mental disorders show differences in metabolomic ageing.