WinklerTom

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WinklerTom

WinklerTom

@Winkusch

Katılım Ekim 2012
475 Takip Edilen132 Takipçiler
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Marios Georgakis
Marios Georgakis@MariosGeorgakis·
The impact of age on genetic associations is generally underexplored. An example of a genetic-by-age interaction analysis at the GWAS level🧬📈 👉6 loci for BMI & 26 for pulse pressure 👉probably reflect effects on longitudinal trait change 🔗genomebiology.biomedcentral.com/articles/10.11…
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Marios Georgakis
Marios Georgakis@MariosGeorgakis·
GWAS is typically run for cross-sectional traits and not longitudinal trait trajectories📈🧬 👉New paper describes an application of linear mixed models for longGWAS of eGFR decline 👉Modeling function of age with random slopes & intercepts was statistically advantageous link👇
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WinklerTom
WinklerTom@Winkusch·
@EleZeggini @HelmholtzMunich This looks excellent and will be highly beneficial for GWAS folks (especially in the EU). Thanks so much for the effort 👍😀
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Eleftheria Zeggini
Eleftheria Zeggini@EleZeggini·
Excited to launch the @HelmholtzMunich Imputation Server, enabling genotype imputation within the EU and beyond. Lots of plans for future development, reference panels and functionality enhancement rdcu.be/d0h3y
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Timothy Raben
Timothy Raben@TimothyRaben·
The UK Biobank (UKB) has been an amazing field changing resource for the past decade. Unfortunately, and very suddenly, they have decided that to work with their data you now *must* use their “Research Analysis Platform” (RAP). @uk_biobank I guess there have been general warning
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Doug Speed
Doug Speed@dougthespeed·
This Friday is the deadline to register for EMGM 2024 in Vienna (3-4th April). This is a great conference, especially for PhD / postdocs. See more details here emgm2024.ista.ac.at
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IGES
IGES@genepisociety·
The IGES Annual Meeting Call for Abstracts! Abstract topics Biobanks & large-scale populations Common disease genetics Diversity & studies of multiple ancestries Immunogenetics & Infectious Disease Machine learning, artificial intelligence, and data science 1/3 #iges24
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Lukas Forer
Lukas Forer@lukfor·
(1/3)🧬💻 Join the Genome Informatics team at the Institute of Genetic Epidemiology, Medical University of Innsbruck @imed_tweets🎓 I am seeking a PhD Student to work together on polygenic risk scores and genetic data analysis 🚀 genepi.i-med.ac.at/theses/genome-…
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IGES
IGES@genepisociety·
IGES 2024! We will be in Denver November 3-5 for our annual meeting--JOIN US! More details here: geneticepi.org/iges-2024-denv…
GIF
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Inga Prokopenko
Inga Prokopenko@Inga_genetics·
⚡️Please, RT: interested in GWAS analyses, their follow-up, PGS or MR? Apply for the Short online live course "Introduction to the statistical analysis of GWAS" by Jan 5, 2024 tinyurl.com/y582m6ud It will be the 10th edition, 450 scientists trained thus far! @UniOfSurrey
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IGES
IGES@genepisociety·
Nashville is calling! Looking forward to seeing all the #iges23 folks in this great city!
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IGES
IGES@genepisociety·
Are you a young investigator (young at heart, young in age)? Will you be at IGES? Join the Young Investigators Social Hour at TailGate Brewery on 11/7 @6:30pm
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Dr. Chloé Sarnowski, Ph.D.
Dr. Chloé Sarnowski, Ph.D.@SarnowskiChloe·
2023 IGES Annual Meeting starts in 9 days! 🧬 Take advantage of activities targeted for early career investigators: - gathering during welcome reception, Nov 5 - mentoring lunch, Nov 6 - social hour, Nov 7 Please repost, share, advertise. See you in Nashville! @genepisociety
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Sebastian Schönherr
Sebastian Schönherr@seppinho·
Our GWAS pipeline has been highlighted by @SeqeraLabs. Current features are only the start. Let us know which models you want to see integrated besides REGENIE. We will talk about the pipeline at the @nextflowio summit in 2 weeks. @imed_tweets
Rob Lalonde@HPC_Cloud_Rob

@SeqeraLabs latest “Pipeline In The Spotlight'' is github.com/genepi/nf-gwas, a @nextflowio pipeline to perform biobank-scale genome-wide association studies on HPC or Cloud. Analyze thousands of phenotypes in parallel and explore your final results interactively in a web browser.

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WinklerTom
WinklerTom@Winkusch·
@lcpilling r2=0.6 will yield index variants with varying maf that sit on the same haplotype (high D') that are not independent. r2=0.01 gets rid of them but misses indep associations. The most accurate way will be stepwise conditional forward selection using IPD (or gcta for meta-analysis)
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Luke Pilling
Luke Pilling@lcpilling·
🧬 #genetics and #bioinformatics friends: a question on clumping variants based on LD 'Easy' to do with R^2. Not seeing much agreement on a threshold for D'. Seen papers that use 0.6 (seems high to me), but 0.1 or lower seems too restrictive. Any thoughts? Thanks ❤️
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DZHK Germany
DZHK Germany@dzhk_germany·
Wir sind zutiefst betroffen und traurig: DZHK-Professorin Jeanette Erdmann ist am 8. Juli 2023 plötzlich verstorben. Sie war eine fabelhafte Wissenschaftlerin und ein wundervoller Mensch. Unser Mitgefühl gilt den Angehörigen. Wir werden sie nie vergessen. 🖤
Jeanette Erdmann@JeanetteErdmann

Jetzt online: Abenteuer Diagnose #59 "Die Forscherin und das Geheimnis der Zebrafische" ist in der ARD Audiothek, auf der Visite-Website und bei Apple Podcasts zu finden. #COL6 @UKSH_KI_HL @UniLuebeck @cardiogenetics @dzhk_germany #DGM 1.ard.de/AD_F59_DieFors…

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