Michigan Imputation Server
@umimpute
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We provide a free genotype phasing and imputation service. You can upload GWAS genotypes and receive imputed genomes in return.
Joined April 2015
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
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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.
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Looking for a pipeline to run GWAS on imputed data? Here we are:
📢 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
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Available on MIS!
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
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Another incredible milestone: 100M Imputed Genomes! Thanks community!
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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"
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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
Interested in genotype imputation and how you can easily do it at Michigan Imputation Server?🧐We have a seminar at the Genetics and Genomics Digital Forum @GeneticsSociety tomorrow at 8:30 EST! All #ASHG22 participants are free upon registration🥳I'll talk about HLA imputation🙂
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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
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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
cell.com
This manuscript presents—across multiple ancestries, genotype arrays, and imputation reference panels—the minor-allele frequency thresholds above which array genotyping and imputation accurately...
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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
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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
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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)
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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
github.com
HLA-TAPAS pipeline for HLA association and fine-mapping studies - immunogenomics/HLA-TAPAS
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Thanks for using our service!
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
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PS. Easier to remember, https://t.co/42FlVKRMSM also points to the TOPMed Imputation Server. Enjoy all. 9/9
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This resource is built from the efforts of many people, 32 cohorts, and the generous support of NHLBI. We're happy to release to the community, and look forward to many exciting discoveries based on the panel. 8/
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In samples of South Asian and East Asian ancestry there is limited improvement, which can hopefully be improved with futher expanded imputation panels. 7/
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Admixed American samples are also well imputed by the panel, significantly better than existing panels. 6/
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