Postdoc @KronenbergLab (Genetic Epidemiology) | she/her
Joined July 2019
- Tweets27
- Following146
- Followers55
- Likes214
Johanna Schachtl-Riess retweeted
(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/ge…
Johanna Schachtl-Riess retweeted
nf-gwas is out in NAR Genomics and Bioinformatics 🎉! Performing highly parallelized and reproducible #GWAS analysis 🧬🔍📊 Looking forward to pushing the #Nextflow pipeline together with @seppinho, @johsr2 and @SilviaDiMaio4 to the next level 🚀
academic.oup.com/nargab/arti…
Johanna Schachtl-Riess retweeted
Happy to share our newest GWAS on PCSK9 which has been published open access in Atherosclerosis. We identified 5 novel loci for PCSK9 concentrations. See more: atherosclerosis-journal.com/…
#PCSK9 #Atherosclerosis @society_eas @azinkh96 @ATHjournal @imed_tweets
Johanna Schachtl-Riess retweeted
.@nextflowio summit run successfully ✅ the nf-test and nf-gwas team says 🙏 for the warm welcome!! @lukfor @johsr2 @SilviaDiMaio4
Johanna Schachtl-Riess retweeted
@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.
Johanna Schachtl-Riess retweeted
📢 New #GWAS preprint!
Excited to share the preprint of nf-gwas, a #Nextflow pipeline to run biobank-scale GWAS analysis. awesome cooperation with @lukfor, @johsr2 and @SilviaDiMaio5
biorxiv.org/content/10.1101/…
1/n
Johanna Schachtl-Riess retweeted
Our GWAS Nextflow pipeline now supports gene-based testing functionality (provided by regenie) and runs on all major cloud providers! Code + Docs: genepi.github.io/nf-gwas/
1/2 (pls see next tweet for credits!)
⭐⭐ Pipeline release ⭐⭐
nf-gwas: A Nextflow pipeline to run genome wide association studies (GWAS). #gwas #Bioinformatics #nextflow 👇👇
Excited for the remaining two days #EASCongress2022 #togetheratEAS2022
Johanna Schachtl-Riess retweeted
We are clearly enjoying our time at the EAS 😻👌🏻 #togetheratEAS2022 #EASCongress2022
Johanna Schachtl-Riess retweeted
Excited to see my 1⃣st first-author paper out in @ATHjournal:
🧬 It's about the two faces of a well-known #lipoproteinA missense variant, rs41272110 (p.Thr3888Pro), and its SNP interaction with the KIV-2 4925G>A
🧬 Read more below ⬇️ and stay tuned for the twittorial 💬
The 🆕 study by @RGrueneis &Coll emphasizes the complexity of the genetic regulation of Lp(a) and the importance to account for genetic subgroups in Lp(a) assoc studies
atherosclerosis-journal.com/…
#CardioTwitter #EASCongress2022 @SilviaDiMaio4
@seppinho @lukfor @stncsn @KronenbergLab
It still feels unreal but I am #PhDone 🙊 Thank you to everyone who celebrated with me yesterday including @KronenbergLab @azinkh96 @SilviaDiMaio4 @RGrueneis @stncsn @seppinho @lukfor @AmstlerStephan 🥳
Johanna Schachtl-Riess retweeted
Excited to announce that our PCSK9 paper is now published @CJASN 🥳
@KronenbergLab
Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a key regulator of lipid homeostasis. This study found a significant association between higher PCSK9 concentrations and risk of cardiovascular disease bit.ly/CJN01230122
@azinkh96
Need to run a GWAS? Consider running it with the nf-gwas pipeline built by @lukfor and @seppinho! It has many advantages like an automated report 🥳 Head over to @seppinho for details 👇You never used the command line before? Here is my beginner's guide 🤓 genepi.github.io/nf-gwas/gwa…
⭐⭐ Pipeline release ⭐⭐
nf-gwas: A Nextflow pipeline to run genome wide association studies (GWAS). #gwas #Bioinformatics #nextflow 👇👇
Johanna Schachtl-Riess retweeted
Making @nextflowio pipelines testable 🚀 @seppinho and I are happy to announce a first preview version of nf-test, a simple and elegant test framework to describe the expected behaviour of pipelines.
askimed.com/articles/announc…
Excited that our paper is published in @jlipidres 🥳
"Lysis reagents, cell numbers, and calculation method influence high-throughput measurement of HDL-mediated #cholesterol efflux capacity"
@imed_tweets @johsr2 @StefanCoassin @KronenbergLab
jlr.org/article/S0022-2275(2…
So happy that our paper is now out there and big thanks to everyone #teamwork
Head over to @StefanCoassin for a Tweetorial on our main findings
This Post is from an account that no longer exists. Learn more
Johanna Schachtl-Riess retweeted
New work from our lab lead by @SilviaDiMaio4. UKBB data in action.
Does #lipoproteinA modify #Covid19 risks?
@KronenbergLab @SilviaDiMaio4 finds that high Lp(a) severely enhances ischemic heart disease risk in case of a COVID19 infection, but does not modify infection susceptibility and thrombosis risk in #UKBiobank.
onlinelibrary.wiley.com/doi/…
