During the past few decades, the direct analysis of metabolic intermediates in biological
samples has greatly improved the understanding of metabolic processes. The most used …

Blood lipids and metabolites are markers of current health and future disease risk. Here, we
describe plasma nuclear magnetic resonance (NMR) biomarker data for 118,461 …

Metabolomics holds great promise for uncovering insights around biological processes
impacting disease in human epidemiological studies. Metabolites can be measured across …

Importance Metabolomics reflect the net effect of genetic and environmental influences and
thus provide a comprehensive approach to evaluating the pathogenesis of complex …

The use of omic modalities to dissect the molecular underpinnings of common diseases and
traits is becoming increasingly common. But multi-omic traits can be genetically predicted …

We performed collapsing analyses on 454,796 UK Biobank (UKB) exomes to detect gene-
level associations with diabetes. Recessive carriers of nonsynonymous variants in …

Clinical implementation of new prediction models requires evaluation of their utility in a
broad range of intended use populations. Here we develop and validate ancestry-specific …

Background Sodium-glucose cotransporter 2 (SGLT2) inhibitors have shown promise in
reducing the risk of atrial fibrillation (AF). However, the results are controversial and the …

Genome-wide association analyses using high-throughput metabolomics platforms have led
to novel insights into the biology of human metabolism,,,,,–. This detailed knowledge of the …

Background: Polygenic scores (PGS) are becoming an increasingly popular approach to
predict complex disease risk, although they also hold the potential to develop insight into the …