Top Tweets for #SumStats
We recently passed 1 million curated SNP-trait associations!
See how the GWAS Diagram has changed with the significant data growth.
Contribute to our growing dataset and the diagram view by submitting your #SumStats and now also your top assoc. https://t.co/1wHeyIeASk
๐จ IMPORTANT UPDATE ๐จ
๐ฉ๐ปโ๐ป๐จ๐ปโ๐ปWork on #gwas?
๐Did you submit your #SumStats (https://t.co/1wHeyIeASk) or are you planning to do so?
Now you can ALSO submit the top associations to be included in the @GWASCatalog !
Follow @YiorKalantz's example and submit your data directly. ๐๐

Interested in GxE interaction #gwas?
Now, you can identify and filter them on our website!
Check the great review made by @genandgenes et al. at @JohnsHopkinsEPIThey.
They also analysed the data we hosted and showed a lack of #SumStats available. https://t.co/quHAetKOrs

In #WorldCancerDay you can access ~ 2500 #gwas linked to cancer, with close to 1,100 of them with #SumStats. THANKS for helping us to increase the data available following #FAIRprinciples. Share your data https://t.co/1wHeyIeASk #OpenAccess

Now at #fog2025 @markeffingham @uk_biobank is giving updates about #UKBiobank Did you know we are hosting more than 38K #gwas from UK Biobank some of them wit #SumStats? Access them through website and API, submit your data https://t.co/1wHeyIeASk #openaccess

Are you going to #FOG2025? Meet us to learn about the integration of processes with @PGSCatalog or metadata generation and harmonisation pipelines for #SumStats. Share your data https://t.co/1wHeyIf8HS #openaccess

Are you going to #eshg? Join our workshop
https://t.co/hp0DspPlUk and learn how to:
๐ฐPrepare your data for submission to the @gwasCatalog and @PGSCatalog
โ
Access harmonised #gwas #SumStats and scores
๐งฎCalculate scores from existing PGS in new samples using PGSC_calc?

NEWS!! #DNADay24 and our #anniversary!! Our latest data release is out! Now access to ~607,000 assoc published in 6,827 publications from 100,240 #gwas and 79,604 #SumStats datasets! Share your data https://t.co/1wHeyIeASk #OpenAccess ๐

#WorldCancerDay, thanks @Ce_recilla, @MathiasSeviiri, @Phried_fonix, @cathrynlewis, Anqi Wang,@sr_sankararaman, Mariann Koel, @TLaisk, @TabeaSchoeler, @zkutalik and all their collaborators for submit your #SumStats in 2023 #OpenAccess Share your data https://t.co/1wHeyIeASk

Itโs LIVE!! New #GWAS Catalog website https://t.co/vuuJzmLCAw with FASTER page loading and a new tab to find full #SumStats files easily. Read all about it hereย https://t.co/jBJy6n92L8 Thanks for the feedback so far, let us know what you think! #openaccess
NEWS!!
Changes in our web search interface are coming!
Faster and easier to find #SumStats
Would you like to HELP us?
(1) Test it https://t.co/4SOl68wweq
(2) Send us your feedback to [email protected] or GitHub https://t.co/oCGstezI3d
More on https://t.co/QGOWvoEb1p

NEWS!!
We are changing our web search interface!
Would you like to HELP us?
(1) Test it https://t.co/4SOl68wweq
(2) Feedback DM, [email protected]
or GitHub https://t.co/oCGstezI3d
Which changes??
-Loading speed
-Layout
-Easier to find #SumStats
-Spoiler alert
๐งต(1/4)๐๐

๐#15yearsGWASCatalog๐ and ๐#DNADay23๐
We are showing you how the Catalog grew since 2015, also hosting #SumStats from your #gwas.
We promote data sharing and also a standard format to help you in your meta-analysis
All details on our blog post https://t.co/35GyZKi0vA

๐#15yearsGWASCatalog ๐
Since 2020 you can submit #SumStats https://t.co/1wHeyIeASk
You can see that pre-published data is accepted and you can request an embargo until the day of publication
Sharing your data will increase your citations!! https://t.co/BhKS9v1vWg
#OpenAccess

๐#15yearsGWASCatalog ๐
We curated ~ 79,400 #gwas!
Initially, only genome-wide genotyping arrays, later we extended our scope to include also targeted arrays and sequencing data!
Since 2017 we are also hosting an increased number of #SumStats for all technologies!!
#OpenScience

NEWS!! Our submission requirements are CHANGING from 12th April 2023!
Read all about it in our blog post: https://t.co/35GyZKi0vA
If you SUBMIT #SumStats, youโll need to provide additional mandatory information which will increase the usability of your data.๐
#OpenAccess

Check this #gwas published in @NatureGenet @UKBB
Access to #SumStats in our ftp https://t.co/t96EbSKf3Y for #FEV1 https://t.co/Ad46BOC4GJ for #FVC https://t.co/Jfook6ePLt for #FEV1/FVC https://t.co/YOQCrAUCBY for PEF
Thanks, @nickshrine for sharing your data!
#OpenAccess
๐จ PUBLISHED TODAY @NatureGenet
๐ฐ Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk
๐งโ๐คโ๐ง @nickshrine @Martin_Tobin and team
โฌ๏ธ
https://t.co/wrddKhyUCh
Check this #gwas linked to #LVM published in @NatureGenet @uk_biobank
Access to #SumStats in our ftp https://t.co/KoRGZNwwLc for and https://t.co/iJ6K7XEUje you will have access to all metadata in our next release.
Thanks, @shaan_khurshid for sharing your data!
#OpenAccess
New in @NatureComms ! Our GWAS of #CMR based LV mass quantified using #AI segmentation (@broad_ml4h) in >50k @uk_biobank participants. 12 loci for indexed LVM, inc genes implicated in cardiomyopathy, contractility, and neurohormonal regulation.
Paper: https://t.co/3FomsPwDPY

Check this #gwas published in @NatureGenet
Access to all details including #Sumstats at https://t.co/A6x2u4Jvmm for #BCC and https://t.co/SclcZ8q1Ws for #SCC
Thanks, @MathiasSeviiri for sharing your data!
https://t.co/1wHeyIeASk
#OpenAccess
Recently published: Multi-trait genetic and phenotypic analysis of #BasalCellCarcinoma and #SquamousCellCarcinoma leads to an optimised #PolygenicRiskScore
@natrescancer #SkinCancer #CancerResearch by @MathiasSeviiri @stuartmacgreg @QIMRBerghofer
https://t.co/eGuxGx5Ws8

Check this #gwas linked to #endometriosis published in @NatureGenet
Access to #SumStats in our ftp https://t.co/O7WCCQUHRf you will have access to all metadata in our next release.
Thanks, @Nilosh for sharing your data!
Submit your data https://t.co/1wHeyIeASk
#OpenAccess
1/10 Largest GWAS meta-analysis of #endometriosis demonstrates shared genetic basis with multiple pain and inflammatory conditions. Our paper is now out at Nature Genetics @NatureGenet
(https://t.co/grbJds8pnK).
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