
Claudia Langenberg
Articles
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Jan 9, 2025 |
nature.com | Benjamin Wild |Maik Pietzner |Harry Hemingway |Claudia Langenberg
AbstractThe COVID-19 pandemic exposed a global deficiency of systematic, data-driven guidance to identify high-risk individuals. Here, we illustrate the utility of routinely recorded medical history to predict the risk for 1741 diseases across clinical specialties and support the rapid response to emerging health threats such as COVID-19. We developed a neural network to learn from health records of 502,489 UK Biobank participants.
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Aug 28, 2024 |
nature.com | Jiantao Chen |Zhijian Yang |Ranran Zhai |Xiao Feng |Ting Li |Denis Maslov | +25 more
AbstractUnderstanding the genetic basis of neuro-related proteins is essential for dissecting the molecular basis of human behavioural traits and the disease aetiology of neuropsychiatric disorders. Here the SCALLOP Consortium conducted a genome-wide association meta-analysis of over 12,000 individuals for 184 neuro-related proteins in human plasma. The analysis identified 125 cis-regulatory protein quantitative trait loci (cis-pQTL) and 164 trans-pQTL.
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Aug 22, 2024 |
cell.com | Guillaume Butler-Laporte |Kevin Liang |Metabolic Diseases |Claudia Langenberg
1Department of Human Genetics, McGill University, Montréal, QC, Canada 2Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, QC, Canada 3Division of Infectious Diseases, Department of Medicine, McGill University 4Quantitative Life Sciences Program, McGill University, Montreal, Quebec, Canada 5Computational Medicine, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, Berlin, Germany 6Tanaka Diabetes Clinic Omiya, Saitama, Japan 7Department of Diabetes and...
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Jul 22, 2024 |
inkl.com | Claudia Langenberg
PA ArchiveProteins in the blood could help predict the risk of developing more than 60 diseases, new research suggests. Researchers say they are “extremely excited” about findings which indicate that thousands of proteins measured from a drop of blood could help to predict the onset of many different conditions. This study, published in Nature Medicine, opens up new possibilities for predicting a wide range of diseases, including rare conditions which can take months and years to diagnose.
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Jul 19, 2024 |
nature.com | Zhila Semnani-Azad |Mario L. Morieri |John Dennis |Claudia Langenberg |Michèle Ramsay |Arun J Sanyal | +6 more
AbstractPrecision medicine should aspire to reduce error and improve accuracy in medical and health recommendations by comparison with contemporary practice, while maintaining safety and cost-effectiveness. The etiology, clinical manifestation and prognosis of diseases such as obesity, diabetes, cardiovascular disease, kidney disease and fatty liver disease are heterogeneous.
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