Ninon Mounier

Multimorbidity is a common and complex clinical problem. At #ESHG2023? Come and speak to @Nin0nM and Beth about how we are using genetics to understand the mechanisms linking long term chronic conditions Amazing work by @GEMINIcollab led by @timfrayling @ExeterMed @eshgsociety

🗣️11 talks and 12 posters by @ExeterMed colleagues at this weekend's @eshgsociety 🧬 meeting in Glasgow Very excited for the science and networking... less so the 7.5hr train! 🚆 #ESHG #ESHG23 #ESHG2023 #genetics #science #health @uniofexeHLS

MR-AHC: A fast, efficient and robust method for two-sample summary data Mendelian randomization based on agglomerative hierarchical clustering medrxiv.org/cgi/content/sh… #medRxiv

🔊Next Multimorbidity Community of Practice is taking place taking place on Wednesday 22nd February 2023 at 10am! 🎉 (1/4)

@gushamilton If you're dealing with sample overlap, the regression calibration approach we're introducing here won't be the solution (actually requires *3 independent* samples) but you can have a look at the MRlap approach instead (biorxiv.org/content/10.110…)!

@Nin0nM Amazing - I was just this morning considering using this method -academic.oup.com/hmg/article/32… (requiring individual level data)

Another year, another paper about Winner's curse and weak instrument bias in MR analyses: "Incorporating discovery and replication GWAS into summary data Mendelian randomization studies: A review of current methods and a simple, general and powerful alternative” 1/

Our regression calibration approach has been implemented for several estimators in an R-Package: github.com/n-mounier/Regr…, and is compatible with the TwoSampleMR R-Package. If you have data at hand to perform three-sample MR analyses, don’t hesitate to try it! 11/

We further assessed the extent of the bias and the performance of the approaches using a same-trait analysis for BMI. Our results suggest that Winner's curse can lead to strong bias, important under-coverage, and could hinder the identification of modest causal effects. 10/

Exciting news! We have been awarded an @MRC Better Methods Better Research grant to develop the The Triangulation WIthin a STudy (TWIST) framework for causal inference within pharmacogenetic research

Post-doc position open in my group. Are you a curious, motivated scientist with good stats background? Would you like to develop creative causal inference methods next to Lake Geneva and surrounded by these mountains? Apply by 30 September! More details: wp.unil.ch/sgg/position-2…

🔔New pre-print out!!! With @CAuwerx @smarie_smarie Alexandre Reymond and @zkutalik 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…

Looking forward to hearing @Nin0nM of @UniofExeter & part of the GEMINI project, presenting work on 'Going from genetic correlation to causation in multimorbidity research using Mendelian randomization' at our multimorbidity community of practice meeting tomorrow at 10am!