
Jakob German
@Jakob_German
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#European 🇪🇺 | Ex-Board of @JSUDeutschland | Pharmacist | Passion for #Innovation and #Healthcare | Always standing with 🇮🇱
Berlin, Germany
Joined March 2019
RT @Schmidt_Center: 🎉Congratulations to @Schmidt_Center PhD fellow @Jakob_German and the team on their new @NatureGenetics paper! They show….
nature.com
Nature Genetics - This study integrates polygenic risk scores with four emulated clinical trials using FinnGen data and shows the feasibility of this approach while highlighting potential pitfalls.
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RT @andganna: 🚨 New paper 🚨. Do known genetic factors for obesity affect weight loss from GLP1-RA (Ozempic) or bariatric surgery?. 🔍 10,960….
nature.com
Nature Medicine - The authors found, after analyzing 10,960 individuals from 9 multiancestry biobanks across 6 countries, that genetic factors previously associated with BMI have limited impact on...
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9/ Big thanks to the whole team! Especially grateful to my mentors @andganna and Anthony Philippakis. Shoutout to @tigerstatdoc, Zhiyu Yang, @pecsi_max, @FinnGen_FI, @pnatarajanmd, @zkutalik and @elipatorno for all the support and teamwork!.
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8/ How do you think genetics could further enhance clinical trials? Let’s discuss! Read our findings and share your thoughts:
medrxiv.org
Randomized controlled trials (RCTs) are the gold standard for evaluating the efficacy and safety of medical interventions but ethical, practical, and financial limitations often necessitate decisions...
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3/ Much like voting demographics, genetic differences between trial arms can reveal biases in study design. Through PGS, we identified hidden confounders, allowing for more balanced and precise results—crucial for evidence-based medicine as the nation votes today #Vote2024
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🚀Excited to share our new preprint on integrating genetic data into target trial emulations to improve clinical study design! On #electionday2024 and the first day of #ASHG24, our work highlights how genetic insights can bring greater rigor and clarity to real-world evidence🧬🧵
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3/ Much like voting demographics, genetic differences between trial arms can reveal biases in study design. Through PGS, we identified hidden confounders, allowing for more balanced and precise results—crucial for evidence-based medicine as the nation votes today #Vote2024
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8/ Grateful to all my amazing co-authors and collaborators for their invaluable contributions to this work! 🙌.I'd like to thank:.@tigerstatdoc, @ukuv, @roelof_aj_smit, @pnatarajanmd, @l_szczerbinski, @HHeyne, @drHamdiMbarek, @bpasaniuc and many more for making this possible!.
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