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Super informative user story from 23andMe about scaling Nextflow on AWS Batch. Processed ~1 mln individuals per day using up to 10k CPUs per compute environment! 🚀🚀👍 Thanks for sharing! medium.com/23andme-engine…

So happy to say this: our paper looking at the relationships between dietary patterns and blood metabolites is published! tinyurl.com/8cwwbn4c Thank you so much to everybody involved (Nicola Pirastu, Krista Fischer, Hanna-Kristel Valge, Tõnu Esko, Andres Metspalu, Jim Wilson)!

Very happy to see BayesRR-RC, a statistical approach we developed for GWAS to improve SNP-heritability estimation, discovery, fine-mapping and genomic prediction, published in Nature Communications 🎉! disq.us/t/439cniy Dept of Computational Biology, Uni Lausanne Université de Lausanne ISTAustria

Fresh off the press: Latent Heritable Confounder-MR has found a home at nature.com/articles/s4146… 🙌🥳 Very proud of this work, couldn't have done it without Zoltán Kutalik and Ninon Mounier !

Really nice example of GWAS to drug targets. First, confirm overlap of approved drugs with genetic phenotype; Second, fine-map to show direction of effect for drug perturbation; Third, confirm causality with MR; and Fourth, perform PheWAS to estimate ADEs. researchsquare.com/article/rs-117…

Hi everyone, Today, our paper on microbiome host genetics (🧬) is published in Nature Genetics! 🎉🎉🎉 A 🧵 on what we found with A.Zhernakova, Serena Sanna, estebanL, Alex Kurilshikov and Shixian nature.com/articles/s4158…

Estimating heritability of low prevalence traits in biobanks can lead to unstable and unrealistic results due to high estimator variance. We are very happy to share a correction that increases the estimation accuracy of low prevalence trait heritability. medrxiv.org/content/10.110…

Happy to share this highly collaborative work led by @MaarjaLepamets (w Chiara Auwerx, Lude Franke, Kaido Lepik etc) on omics-informed CNV confidence assessment and its translation to improved association signals. biorxiv.org/content/10.110…

Happy to see how a seed planted at a "write a review" course by Christophe Dessimoz under the gifted hands of Chiara Auwerx & Marie Sadler turned into such a great publication!

🔔New pre-print out!!! With Chiara Auwerx Marie Sadler Alexandre Reymond and Zoltán Kutalik we combined eQTL, mQTL and GWAS data in a multi-omics Mendelian Randomization approach to identify metabolites mediating transcript-trait associations. biorxiv.org/content/10.110…

Much of the knowledge on the 22q11.2 deletion syndrome stems from clinical cohorts. 🏥 Can we learn more by studying 22q11.2 CNVs in a population-based cohort such as the UK Biobank? 🌍 Find out in our new preprint by Malú Zamariolli! ⬇️ medrxiv.org/content/10.110…

Just out! 📢 📢 📢 The largest study on stroke genetics 🧬 with more than 2M individuals (incl. >200,000 cases) just published in nature! Have a look here 👉 nature.com/articles/s4158… 🧵1/7

So proud of Tabea Schoeler and Adriaan for their Dept of Computational Biology, Uni Lausanne public outreach video: youtu.be/NxnYZK3zczw

Excited to share that our paper about DNAm mediation through transcript levels is now published Nature Communications! nature.com/articles/s4146… Very grateful to all co-authors Chiara Auwerx Kaido Lepik Eleonora Porcu Zoltán Kutalik for their precious contribution! #omics #GWAS #MendelianRandomization

Excited to share our attempt to detect stabilising selection acting on metabolites (from GWAS) and linking its strength with cross-species conservation score and also with their causal effect strength on multiple cardio-metabolic traits.

Most promising method to identify drug targets? 🎯 - #GWAS - #eQTL-GWAS - #pQTL-GWAS - #exome Excited to share our new preprint where we compare all methods including #network approaches (medrxiv.org/content/10.110…) Very grateful to all co-authors Zoltán Kutalik @cauwerx Patrick Deelen

Our pre-print is out 🎉! Read below on how we performed informative clustering of BMI SNPs using PheWAS data of 400+ traits, this revealed several SNP groups that were enriched for distinct trait themes like body lean mass, job type and education, nutritional supplements..🧵👇1/4

Very happy to announce that our work “Multi-layered genetic approaches to identify approved drug targets” is now published Cell Genomics doi.org/10.1016/j.xgen… Many thanks to all co-authors Zoltán Kutalik @cauwerx Patrick Deelen for their precious contribution! 1/10

New year, new paper! 💫📄 Our study on the role of #CNVs as #pleiotropic modulators of #CommonDisease susceptibility is out in Genome Medicine: rdcu.be/dvonQ Major findings (👉🏻 x.com/CAuwerx/status…) + 3 of my favorite new insights based on reviewer’s comments in 🧵

NEW PREPRINT! We have a new MR method called MR-link-2, which we validated extensively. Interested in Mendelian randomization? A🪡 below medrxiv.org/content/10.110…