Lachlan Gilchrist

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

Delighted to share our study published in @ScienceAdvances in which we evaluated multiple machine learning algorithms for developing ageing clocks using @NgaleHealth metabolite data from the @uk_biobank science.org/doi/10.1126/sc… Summary of key findings: kcl.ac.uk/news/researche…

Happy to share our new study on genetic & environmental contributors to age-related decline in ~100K UK Biobank participants! @NatureComms Here, we used simulation work + longitudinal GWAS to explore risks involved in cognitive/physical decline (1/)🧵🧵 shorturl.at/99gqL

I am delighted to share our new preprint on metabolomic ageing and dementia 🧵In 220K+ individuals, a higher metabolite-predicted age (“MileAge”) vs. chronological age was associated with higher hazards of vascular, unspecified and all-cause dementia.

Depressive symptoms were not consistently associated with amyloid pathology in individuals with normal cognition and were linked to a lower likelihood of amyloid pathology in those with mild cognitive impairment. ja.ma/3PKTWLe

Directed by David Lynch.

"The number of US adults who will develop dementia each year was projected to increase from approximately 514,000 in 2020 to approximately 1 million in 2060" nature.com/articles/s4159…

Just out in @NatureHumBehav 👇🏼👇🏼 We focused on the causes & impact of self-report error in the UK Biobank. We found that reporting error does not occur at random, is not independent of other participation behaviours, and can complicate the interpretation of genome-wide findings

You've heard of DNA, but what about GNA? New preprint from @jacksonthorp and IBG member Andrew Grotzinger that introduces Genomic Network Analysis (GNA), an open-source multivariate tool for performing network analysis using GWAS summary statistics medrxiv.org/content/10.110…

Million Veteran Program & FinnGen teams are pleased to release v1 meta-analysis of MVP, FinnGen and UKBB GWAS data. This first version includes ~300 binary disease definitions across >1.5 M individuals. Browse scans at: mvp-ukbb.finngen.fi

Striking Departures from Polygenic Architecture in the Tails of Complex Traits biorxiv.org/cgi/content/sh… #biorxiv_genetic

🚨Preprint 🚨 Sharing recent work by @chrislowh to define #antidepressant switching in @uk_biobank & @genscot 👉Patients can switch antidepressants for non-response 👉Using primary care records (~230k, 1990s-2017) 👉5k switchers VS 33k non-switchers 1/7

🚨Pre-print for the second project of my PhD “Evaluating metabolome-wide causal effects on risk for psychiatric and neurodegenerative disorders” now online @medrxivpreprint 🚨 medrxiv.org/content/10.110… 🧵⬇️