Liza Darrous
@lizamgd
Data Scientist | PhD in Statistical Genetics
ID: 4748019259
12-01-2016 11:43:43
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In room 6/7, C28 Machine learning and Statistic, an impressive talk from Robbin Hofmeister Zoltán Kutalik group, early career award candidate, talking about inferring non-transmited alleles from close relatives and their further effects on offspring education by using MR. #eshg2024
Three/four exciting 4-year computational post-doctoral positions in our team Human Technopole to work on a variety of projects. Please retweet and share within your networks.
Great to see this paper come out. New genes with big effects on age at menopause, new links with cancer predisposition and genetic risk of early menopause increasing maternal de novo mutations. Brilliant collaborators, especially John Perry Stasa Stankovic Hilary Martin Patrick Sulem
Excited to share our latest work from Cecilia Lindgren lab! We combine rare variant testing 📊 + CRISPR KO ⚡️ in human adipocytes to nominate new therapeutic targets for obesity and fat distribution ✨ 🧵 [1/9] medrxiv.org/content/10.110…
Endometriosis is an incredibly interesting disease 5k words, 23 minutes reading time covering one of the strangest conditions ive ever heard about link: owlposting.com/p/endometriosi… very grateful to Shilpa Pothapragada for initial inspiration for this piece + reviewing it!!
Our multi-population GWAS paper on Afib is online now Nature Communications We identified more genetic loci, population-specific genetic correlations, improved polygenic risk score, and enhanced risk prediction by integrating a PRS and protein score. nature.com/articles/s4146…
Hi #ASHG2025, the Lausanne team made it to Boston ! Excited to present our latest discoveries — come say hi and learn more about our research! Clara D. Pailler, Leona Knüsel, Mihaela-Diana Zanoaga, Robin Hofmeister, Adriaan, Théo Cavinato, Dept of Computational Biology, Uni Lausanne