Welcome to the Olink® Proteomics in Proximity podcast!

Below are some useful resources from this episode:

Published study of primary focus

Koprulu M, Carrasco-Zanini J, Wheeler E, Lockhart S, Kerrison ND, Wareham NJ, Pietzner M, Langenberg C. Proteogenomic links to human metabolic diseases. Nat Metab. 2023 Mar;5(3):516-528. doi: 10.1038/s42255-023-00753-7. Epub 2023 Feb 23. Erratum in: Nat Metab. 2023 Mar 19;: PMID: 36823471; PMCID: PMC7614946. https://pubmed.ncbi.nlm.nih.gov/36823471/

Laboratory, first author, and corresponding author of the study

·         Public Health University Research Institute (PHURI), a multidisciplinary research center to drive personalized healthcare: https://www.qmul.ac.uk/phuri/about/

·         Mine Koprulu (first author), PhD student, University of Cambridge: https://www.linkedin.com/in/mine-koprulu-497659b9/

·         Dr. Claudia Langenberg (corresponding author); Director of PHURI, Queen Mary, University of London; Professor of Computational Medicine, Berlin Institute of Health at Charité: https://www.qmul.ac.uk/phuri/our-people/professor-claudia-langenberg/

Olink tools and software

·         Olink® Explore 3072, the platform that measured proteins in this study with a next-generation sequencing (NGS) readout: https://olink.com/products-services/explore/

UK 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

Genotype-Tissue Expression (GTEx) project, a biobank and open-access database to study tissue-specific gene expression and regulation: https://www.gtexportal.org/home/

European Prospective Investigation into Cancer (EPIC)-Norfolk study, a prospective cohort of middle-aged individuals from Eastern England: https://www.epic-norfolk.org.uk/

Genome Aggregation Database (gnomAD), the largest publicly available collection of population variation from harmonized exome and genome sequencing data: https://gnomad.broadinstitute.org/

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