Ninon Mounier

Postdoctoral Researcher in Statistical Genetics

[Luke Pilling @lcpilling]

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

[Luke Pilling @lcpilling]

🗣️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

[medRxiv @medrxivpreprint]

MR-AHC: A fast, efficient and robust method for two-sample summary data Mendelian randomization based on agglomerative hierarchical clustering https://t.co/0Ne32tDC3o #medRxiv

[Multimorbidity Statistical Community of Practice @MultimorbCOP]

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

[Ninon Mounier @Nin0nM]

@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 (https://t.co/GUkO9aawq4)!

[Ninon Mounier @Nin0nM]

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/

[bioRxiv Genetics @biorxiv_genetic]

Incorporating discovery and replication GWAS into summary data Mendelian randomization studies: A review of current methods and a ... https://t.co/1QmkN9n1yN #biorxiv_genetic

[Ninon Mounier @Nin0nM]

Our regression calibration approach has been implemented for several estimators in an R-Package: https://t.co/mRNyQcV0e7, 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/

[Ninon Mounier @Nin0nM]

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/

[Jack Bowden @jack_bowdenjack]

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

[Zoltán Kutalik @zkutalik]

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: https://t.co/jRNoiEklSd

[Eleonora Porcu @ElePorcu]

🔔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. https://t.co/1L5f7INDuS

[Ruth Bowyer @ruthcbowyer]

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!