packed house here at #ASHG2023 for our Michigan/TOPMed Imputation Server workshop 🙏.
In case you missed it, slides and materials are available here: https://t.co/XHDIAPbIoV @saorisakaue@lukfor@avsmith
We look forward to sharing our insights on MIS @ #ASHG23 on Nov 1 https://t.co/jjBTIMHmou @seppinho@lukfor@saorisakaue@avsmith Xueling Sim and Christian Fuchsberger will be your lecturer. Questions, topics to be covered still welcome.
📢 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
https://t.co/HxKUgA1yzu
1/n
Anyone who wants to study #HLA but feels hesitant as HLA is too complicated☹️? Happy to share our paper @NatureProtocols describing the up-to-date knowledge on HLA #genetics and step-by-step tutorial for HLA imputation and association with @soumya_boston🥳
https://t.co/fCXTmPMqt3
MIS Update Alert🥳
This update includes:
▸ More than 3,200 polygenic scores from @PGSCatalog
▸ Ancestry Estimation using LASER Server
▸ Interactive report with population matching
👉 Give it a try and test the new app "Genotype Imputation and Polygenic Scores"
Our Workshop Is currently LIVE. Right now, Xueling Sim talks about latest GWAS tool. Next topics: Polygenic Risk Score Calculation + HLA Imputation + TOPMed
All #ASHG22 participants are free upon registration
How does the imputation server work? What’s new? Join us on Nov 15 @
https://t.co/Io94a8jG1E for a deep dive. @lukfor@seppinho Xueling Sim @saorisakaue@avsmith and Christian Fuchsberger
are excited to answer all your questions. #ASHG22
Extent to which array genotyping & imputation with large reference panels approximate deep whole-genome sequencing, Hanks et al. w/ Christian Fuchsberger
Along with new tool: RsqBrowser @umimpute queries imputation quality by variant or region
@AJHGNews
https://t.co/PJOn0IWhPu
Michigan Imputation Server is back after maintenance:
https://t.co/SrJF23xJQT
~11M to go until we reach the unbelievable number of 100M imputed genomes. @lukfor@umimpute
Michigan and TOPMed Imputation server fully support this novel meta-imputation approach; simply mark the "Generate Meta-imputation file" box when preparing your run.
Time to place a new tool in your imputation toolbox! Meta-imputation, from @gabecasis & colleagues, allows imputation results generated using different reference panels to be combined into a consensus imputed dataset. @umichsph
https://t.co/EOmHNnCOnM
Last week we announced automatic polygenic risk score calculation on Michigan Imputation Server 🚀. Users can now download the final scores as a text file or as an interactive report 👇 (1/3)
You can start imputing into your GWAS cohorts via @umimpute:https://t.co/u669LGdkmi and use our HLA-focused pipeline to analyse your results!https://t.co/bZZjdMuRCb
@JamesRPriestMD @aguirre404 TOPMed server is capped at 25k. Michigan server is open. Corruption is unusual. Send message to [email protected] and describe issue
In 2016, we published the Michigan Imputation Server in @NatureGenet. According to Google Scholar, the paper has now been cited 1,000 times! Crazy! Thank you 🙏 @umimpute@seppinho@Santy8128
Our virtual #ASHG2020 MIS workshop is now online. To make it interactive please reach out to us and sign-up for our Slack channel: https://t.co/G2xF93KgMy
@yluo86@cristenw@avsmith In the meantime we added the 1000G-only HLA panel also to the Michigan Imputation Server (Workflow: Genotype Imputation HLA Playground)