Publications

Nightingale’s biomarker analysis platform is routinely used in world-class epidemiological and genetic studies. There are over 200 publications that have applied our method.

Publications

Nightingale’s biomarker analysis platform is routinely used in world-class epidemiological and genetic studies. There are over 200 publications that have applied our method.

All
Influence of puberty timing on adiposity and cardiometabolic traits: A Mendelian randomisation study
A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals
Exome sequencing of Finnish isolates enhances rare-variant association power
Metabolomics: population epidemiology and concordance in Australian children aged 11-12 years and their parents
Direct Estimation of HDL-Mediated Cholesterol Efflux Capacity From Serum
A third of nonfasting plasma cholesterol is in remnant lipoproteins: Lipoprotein subclass profiling in 9293 individuals
The genomic architecture of blood metabolites based on a decade of genome-wide analyses
A Cross-Cohort Study Examining the Associations of Metabolomic Profile and Subclinical Atherosclerosis in Children and Their Parents: The Child Health CheckPoint Study and Avon Longitudinal Study of Parents and Children
Food neophobia associates with poorer dietary quality, metabolic risk factors, and increased disease outcome risk in population-based cohorts in a metabolomics study
Inflammatory diet and preclinical cardiovascular phenotypes in 11–12 year-olds and mid-life adults: A cross-sectional population-based study
Genetic Determinants of Circulating Glycine Levels and Risk of Coronary Artery Disease
Predicting biological age based on the BBMRI-NL 1 H-NMR metabolomics repository
Sex and puberty-related differences in metabolomic profiles associated with adiposity measures in youth with obesity
Relationship between gut microbiota and circulating metabolites in population-based cohorts
Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study
Metabolomics for Prediction of Relapse in Graves’ Disease: Observational Pilot Study