Atlas of plasma nuclear magnetic resonance biomarkers for health and disease in 118,461 individuals from the UK Biobank
Julkunen, H.; Cichonska, A.; Tiainen, M.; Koskela, H.; Nybo, K.; Mäkelä, V.; Nokso-Koivisto, J.; Kristiansson, K.; Perola, M.; Salomaa, V.; Jousilahti, P.; Lundqvist, A.; Kangas, A. J.; Soininen, P.; Barrett, J.; Würtz, P.
Show abstract
Blood lipids and metabolites are both markers of current health and indicators of risk for future disease. Here, we describe plasma nuclear magnetic resonance (NMR) biomarker data for 118,461 participants in the UK Biobank, an open resource for public health research with extensive clinical and genomic data. The biomarkers cover 249 measures of lipoprotein lipids, fatty acids, and small molecules such as amino acids, ketones, and glycolysis metabolites. We provide a systematic atlas of associations of these biomarkers to prevalence, incidence, and mortality of over 700 common diseases (biomarker-atlas.nightingale.cloud/). The results reveal a plethora of biomarker associations, including susceptibility to infectious diseases and risk for onset of various cancers, joint disorders, and mental health outcomes, indicating that abundant circulating lipids and metabolites are risk markers well beyond cardiometabolic diseases. Clustering analyses indicate similar biomarker association patterns across different types of diseases, such as liver diseases and polyneuropathies, suggesting latent systemic connectivity in the susceptibility to a diverse set of diseases. The release of NMR biomarker data at scale in the UK Biobank highlights the promise of metabolic profiling in large cohorts for public health research and translation.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank 94%
- A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk 94%
- Metabolome-wide Mendelian randomization characterizes heterogeneous and shared causal effects of metabolites on human health 94%
Similar papers in this journal
Similar papers in this journal
- An atlas of associations between polygenic risk scores from across the human phenome and circulating metabolic biomarkers 97%
- Phenome-wide Mendelian randomization study of plasma triglycerides and 2,600 disease traits 94%
- Integrated Analyses of Growth Differentiation Factor-15 Concentration and Cardiometabolic Diseases in Humans 94%
Similar papers in this journal
- Longitudinal Metabolomics of Human Plasma Reveals Robust Prognostic Markers of COVID-19 Disease Severity 92%
- Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19 91%
- A prognostic molecular signature of hepatic steatosis is spatially heterogeneous and dynamic in human liver 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.