Team Science. No Borders. Bring It On.

Joined March 2021
The A-team (plus me!) are in #chiangmai and excited to deliver a 1 week course on genetic epidemiology at the #CMU Center of multidisciplinary technology for advanced medicine. Thailand ❤️ @MargheBigossi @AC_Williamson @Ladyroho @QMUL_CEG @QMUL_WIPH
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omicscience retweeted
#Fasting shaped human evolution and is practiced by billions of people for #health and #religious reasons, but what happens to our body beyond shifting energy sources? What happens to our bodies in *7 days* w/o any food? nature.com/articles/s42255-0…
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omicscience retweeted
"An important landmark in investigations of fasting" How 7-day water-only fasting led to changes in >1,000 proteins, much of which were dissociated from the average 12.5 lb weight loss @NatMetabolism nature.com/articles/s42255-0… nature.com/articles/s42255-0…
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The study, by Claudia Langenberg at @QMUL PHURI institute, @omicscience and @pietznerm advances our understanding of what’s happening across the body after prolonged periods without food. It suggests a road map for future therapeutic interventions.
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Similar and different: systematic investigation of proteogenomic variation between sexes and its relevance for human diseases medrxiv.org/cgi/content/shor… #medRxiv
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New @QMULBartsTheLon and @berlinnovation research published today in @naturecomms shows genetic causes that may lead to better treatment for painful condition #Raynauds @uk_biobank @EastLondonGenes @pietznerm @omicscience @weareSRUK #RaynaudsAwarenessMonth qmul.ac.uk/media/news/2023/s…
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Proteomics outshines polygenic risk scores in predicting 218 common and rare diseases. Impressive C-statistics for some diseases for which we have few predictive tools in the clinic. @omicscience on a roll with Robert Scott @pietznerm and others medrxiv.org/content/10.1101/…
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The MRC Epidemiology Unit is committed to Open Science. A @ScienceMagazine paper using EPIC-Norfolk study data hosted on @omicscience is a good example of how our #OpenScience platforms can support innovative research in practice. Read our blog post▶️ mrc-epid.cam.ac.uk/blog/2023…
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One really nice feature of QTLs for metabolites is the possibility to use biochemical knowledge to infer the likely causal gene for many of the associations..... let us know if you think we missed any obvious ones!
I have prepared a special set of 7 of my favorite novel gene associations that I will tweet out over the next 7 days. In the meantime, you can peruse my 791 causal gene annotations in sup table 7! Causal gene, a biologic rationale, and a pointer to the primary literature
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Analysis in >10,000 Fenland Study participants, published @NatureComms by @pietznerm @eleanorwheeler et al. shows integrating information from different #proteomics technologies can identify otherwise hidden links between proteins, human health & disease. mrc-epid.cam.ac.uk/blog/2021…
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omicscience retweeted
🧬🗺️ Proteine erklären, wie #Gene Krankheiten verursachen: Ein internationales Forschungsteam @berlinnovation konnte eine Landkarte 🗺️ verschiedenster Erkrankungen erstellen, die sich auf gemeinsame Ursachen zurückführen lassen. 👉 ow.ly/h1G650Gt30e #TranslationalMedicine
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Just out 👇👇👇
🚨paper alert🚨 We are thrilled to announce that our work on the #Genetics of ~5k #Proteins is out @ScienceMagazine >10k pQTLs creating a #proteogenomic map of the human phenome @MRC_Epid @berlinnovation @KastenmullerLab @GSK @IMS_MRL @UCL_IHI science.org/doi/10.1126/scie… 🧵👇
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A collaborative project that I am proud to be a part of has just been out in @ScienceMagazine! Read below for more information on the #genetics of ~5k #proteins and a #proteogenomic map of the human phenome👇👇 Many thanks to Claudia Langenberg,@pietznerm,@eleanorwheeler&others
🚨paper alert🚨 We are thrilled to announce that our work on the #Genetics of ~5k #Proteins is out @ScienceMagazine >10k pQTLs creating a #proteogenomic map of the human phenome @MRC_Epid @berlinnovation @KastenmullerLab @GSK @IMS_MRL @UCL_IHI science.org/doi/10.1126/scie… 🧵👇
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Excited to share our latest @ScienceMagazine led by Claudia Langenberg @pietznerm @eleanorwheeler. The proteogenomic resource (~5k proteins in >10k individuals) will be a fantastic one to help us clarify how genome variation affects human health & disease. We also integrate #GTEx
🚨paper alert🚨 We are thrilled to announce that our work on the #Genetics of ~5k #Proteins is out @ScienceMagazine >10k pQTLs creating a #proteogenomic map of the human phenome @MRC_Epid @berlinnovation @KastenmullerLab @GSK @IMS_MRL @UCL_IHI science.org/doi/10.1126/scie… 🧵👇
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The winner of the #EPCA2021 ‘Research award’ is…
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A new #metabolomics study in @NatureMedicine reports that shared metabolic alterations underlying multiple chronic diseases may help with the prevention and management of co-morbidity in patients. Read more: bit.ly/3sMVWp7. #research #biomarkers
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