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Join a #PredictionModelling presentation with Dr Oliver Pain @ollie_pain (Sir Henry Wellcome Postdoctoral Fellow @KingsIoPPN) discussing Polygenic scores and learnings from his work developing the #GenoPred pipeline. ➡️Wed 1 Oct, 3-4pm, Online kcl.ac.uk/events/polygenic-s…
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Webinar alert 🚨 🧬 🔬 Date: Wednesday, 13 November 2024  Time: 2pm CAT/ 3pm EAT /12 pm GMT Speaker: Dr @ollie_pain (King's College, London)  Topic: The GenoPred pipeline: a comprehensive and scalable pipeline for polygenic scoring. Registration Link: zoom.us/meeting/register/tJ0…
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🧬 GenoPred utiliza #IA y #BigData para predecir el riesgo genético de desarrollar problemas de salud. En Telómera, creemos que la medicina personalizada es clave para el futuro de la atención sanitaria. 🚀 Vía @Saludigital_Cs i.mtr.cool/tqebcqztyj

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The GenoPred Pipeline: A Comprehensive and Scalable Pipeline for Polygenic Scoring from @ollie_pain is now online. Github & manual: opain.github.io/GenoPred/ Video: youtube.com/watch?v=dKiG8Udz… academic.oup.com/bioinformat…… One-step polygenic score calculations @NIHRMaudsleyBRC

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The GenoPred Pipeline: A Comprehensive and Scalable Pipeline for Polygenic Scoring academic.oup.com/bioinformat… Docs opain.github.io/GenoPred/ trailer youtube.com/watch?v=dKiG8Udz…
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🧬🌍Check out our new paper on polygenic scores as risk factors for cardiometabolic outcomes in Africa. Good to link together the AWI-Gen study and the GenoPred pipeline.
🚨New Paper Alert 🚨 In @GenomeMedicine we show that ancestry-aligned PGS combined with conventional risk factors significantly enhance prediction of cardiometabolic outcomes in African populations. #PGS #African genomemedicine.biomedcentral… @ollie_pain @cathrynlewis @sbimb1 1/7
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Using #GWAS summary statistics from African Partnership for Chronic Disease Research (@apcdr) dataset we build polygenic scores for cardiometabolic traits in AWI-Gen using GenoPred pipeline from @ollie_pain opain.github.io/GenoPred/pip… 2/7
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Dr @ollie_pain, Sir Henry Wellcome Research Fellow at King’s MND Care & Research Centre, and Prof @cathrynlewis have launched GenoPred- Robust and Scalable Pipeline for Polygenic Scoring 🧬. Check it out! youtu.be/dKiG8Udz0rI?feature…
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Do you calculate #polygenic scores? Is it tedious and time-consuming? Try GenoPred! Easily installed, reproducible analysis, single command line. Choice of analysis methods, diverse ancestries.
Dr @ollie_pain & Prof @cathrynlewis have launched GenoPred - a tool that allows researchers to easily calculate #polygenic scores to uncover individuals' genetic risk for certain health-related outcomes 🧬 🔗 👉buff.ly/4c1hjJu
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Dr @ollie_pain & Prof @cathrynlewis have launched GenoPred - a tool that allows researchers to easily calculate #polygenic scores to uncover individuals' genetic risk for certain health-related outcomes 🧬 🔗 👉buff.ly/4c1hjJu
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@LdnGeneNet Oliver Pain showcasing GenoPred, his ✨highly reproducible✨polygenic score pipeline. Very cool and useful for multiple method comparisons! opain.github.io/GenoPred/
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Next, Ollie discusses the framework of GenoPred pipeline in detail, and functionalities of pipeline. Parameters (input GWAS, reference panels and outputs) can be user-specified. Shout out to Snakemake and Conda for reproducibility / construction of pipeline with ease. #LGN2024
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GenoPred requires input from genotype and phenotype data - computing 1KG-standardized PGS and comparison in prediction power. GenoDisc performs functional annotations and fine-mapping using GWAS summary statistics as input. #LGN2024
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Next up we have Dr Oliver Pain’s talk on “GenoPred and GenoDisc”.
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Much excitement in the AMBER room as @ollie_pain presents his GenoPred pipeline for #polygenic score calculation. Simple one-line user input reflects a complex well-designed resource. Fantastic resource, with clear documentation. opain.github.io/GenoPred/

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