Georgios Voloudakis

Study explores link between people's professions and their genetic predisposition to neuropsychiatric traits medicalxpress.com/news/2025-01-e…

.@voloudakis et al. show statistically significant, but weak, associations between occupational categories and genetic risk scores for psychiatric disorders. nature.com/articles/s4156…

🎉 Excited to announce preprints from the first #PsychAD package! Check out details of our work at Psych-AD.org 🧵 Found out summary of papers below👇

@doctorveera The journal has shared this SharedIt link to access the full version of the article for free: rdcu.be/d210J @doctorveera always a pleasure collaborating with you <3

Association of polygenic scores for neuropsychiatric traits with self-reported professions based on analysis of 420k individuals from UK Biobank and Million Veteran Program. Look at the 'arts & design' category. Artistic talent comes at a cost--a piece of your mind :) Voloudakis et al. Nat Hum Behav nature.com/articles/s4156…

First GWAS of binge eating disorder using machine learning-based EHR phenotype @NatureGenet. One of the GWAS hits is hemochromatosis variant C282Y in HFE implicating iron metabolism in disease etiology. Congrats @panos_roussos @voloudakis and team. nature.com/articles/s4158…

And further discussed in a news and views article @NatureGenet by @jacksonthorp et al. nature.com/articles/s4158…

Excited to share the first GWAS of binge eating disorder using #MVP from @BursteinPhD TrevorGriffen @voloudakis at #CenterDiseaseNeurogenomics @MountSinaiPsych @SinaiGenetics @SinaiBrain @IcahnMountSinai that was published in @NatureGenet nature.com/articles/s4158…

New GWAS of ADHD based on 38,691 cases and >180k controls. Congrats! @DemontisDitte, @AndersBorglum, @iPSYCHdk and collaborators. 🧵 nature.com/articles/s4158…

Phenotype misclassifications in the GWAS cohorts dilute effect sizes and reduce statistical power. Here the authors describe a statistical approach to quantify and adjust for effect size dilutions in GWAS meta-analysis. Interesting! medrxiv.org/content/10.110…

Its 6 groups: Multi-omics Technology @FullardJohn Multi-omics Data Integration @JaroslavBendl Computational Neuroepigenomics @Kirangirdhar Statistical Neurogenomics @g_e_hoffman Single Cell Neurogenomics @hoondy Translational Bioinformatics & Precision Therapeutics @voloudakis

The website for the Center for Disease #Neurogenomics is LIVE! Led by @panos_roussos, this is one of few centers in the world w access to brain tissue & population-level datasets. Learn more: icahn.mssm.edu/research/neuro… @SinaiBrain @IcahnMountSinai @IcahnInstitute @SinaiGenHealth

Better late than never. Happy and relieved to share a final published version of one of my PhD projects in which we uncovered a fascinating genetic link between language ability, psychiatric risk and creativity. 🧵 nature.com/articles/s4159…

We would like to share with you our recently published article “Identification of shared and differentiating genetic risk for autism spectrum disorder, attention deficit hyperactivity disorder, and case subgroups.” rdcu.be/cWmMA… Details below.

Today @RegeneronDNA celebrates the publication of genetic discovery and functional validation of ANGPTL7 as a highly promising drug target for glaucoma. nature.com/articles/s4200…

Finally, congrats to @voloudakis for leading the collaboration with @AndersBorglum @immaqua and colleagues on the shared and differentiating genetic architecture for #Autism and #ADHD @NatureGenet go.nature.com/3LRKRxq

Big congrats to #TimBigdeli @voloudakis and many other collaborators for the recent paper describing Penetrance and Pleiotropy of Polygenic Risk Scores for #Schizophrenia, #bipolardisorder , and #depression Among Veterans using the #MVP and #CSP572 cohorts

Excited to share our #singlecell multi-cohort dissection of the transcriptome in #Schizophrenia medrxiv.org/content/10.110… with @brad_ruzicka @ShahinMohammadi @FullardJohn @manoliskellis

I’m happy to share a preprint of our new GWAS of depression, identifying 64 new risk loci, refining the genetic architecture and predicting risk of recurrence and comorbidities. medrxiv.org/content/10.110…

The first GWAS of binge eating disorder identifies loci near HFE, MCHR2 and LRP11. At the HFE locus, one of the risk variants is the hemochromatosis variant thereby linking iron overload with bing eating (looks like the opposite of iron deficiency and pica). Fascinating!