{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Proteomics in Proximity","title":"Decoding Aging and the Environment with Cornelia van Duijn","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/cfe43176\"></iframe>","width":"100%","height":180,"duration":3418,"description":"Welcome to the Olink® Proteomics in Proximity podcast! \nBelow are some useful resources mentioned in this episode: \n \nOlink tools and software\nOlink® Explore 3072, the platform utilized by the UK Biobank to measure ~3000 proteins in plasma: https://olink.com/products-services/explore/\nOlink® Explore HT, Olink’s most advanced solution for high-throughput biomarker discovery, measuring 5400+ proteins simultaneously with a streamlined workflow and industry-leading specificity: https://olink.com/products-services/exploreht/ \n \nUK Biobank Pharma Proteomics Project (UKB-PPP), one of the world’s largest scientific studies of blood protein biomarkers conducted to date, https://www.ukbiobank.ac.uk/learn-more-about-uk-biobank/news/uk-biobank-launches-one-of-the-largest-scientific-studies \n \nResearch articles\n\nThe support of human genetic evidence for approved drug indications\nMatthew R Nelson et al,  Nature Genetics 2015\nhttps://www.nature.com/articles/ng.3314\n \nProteomic aging clock predicts mortality and risk of common age-related diseases in diverse populations\nM. Austin Argentieri et al,  Nature Medicine 2024\nhttps://www.nature.com/articles/s41591-024-03164-7\n \nPlasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems\nLudger J.E. Goeminne et al, Cell Metabolism 2024, in press\nhttps://www.sciencedirect.com/science/article/abs/pii/S1550413124004017?via%3Dihub\n \nPlasma proteomic associations with genetics and health in the UK Biobank\nBenjamin B. Sun et, Nature 2023\nhttps://www.nature.com/articles/s41586-023-06592-6\n \nRare variant associations with plasma protein levels in the UK Biobank\nRyan S. Dhindsa; Nature 2023\nhttps://www.nature.com/articles/s41586-023-06547-x\n \nDisease prediction with multi-omics and biomarkers empowers case–control genetic discoveries in the UK Biobank\nManik Garg, Nature Genetics, 2024\nhttps://www.nature.com/articles/s41588-024-01898-1\n \nChina Kadoorie Biobank:...","thumbnail_url":"https://img.transistorcdn.com/ykdESoQYqhzogcyTRtlZ-HocZhd_d0QETSq8cMzg1DE/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzM0MDk0LzE2NjMx/OTI3MzUtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}