Publications
Nightingale Health’s technology is routinely used in world-class epidemiological and genetic studies. There are over 600 publications that have utilized our technology.
Highlighted publications
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Ageing & dementia
Cancer
Cardiovascular disease
Diabetes
Exposome & nutrition
Genetics
Inflammation & immunity
Kidney disease
Liver disease
Lung disease
Maternal & child health
Medicines & trials
Methods
Mortality & multi-morbidity
Obesity & bodyweight
Psychiatric disorders
Risk prediction
Mortality & multi-morbidity
Divergent Survival Outcomes Associated with Elevated Branched-Chain Amino Acid Levels among Older Adults with or without Hypertension and Diabetes: A Validated, Prospective, Longitudinal Follow-Up Study
E. Fung et. al, Biomolecules, 2023
C. Schneider et. al, Alimentary Pharmacology & Therapeutics, 2023
Cardiovascular disease, Genetics
Predicting the causal relationship between polyunsaturated fatty acids and cerebral aneurysm risk from a Mendelian randomization study
W. Yu et. al, 2023
A. Tokolyi et. al, 2023
Exposome & nutrition, Genetics
Transcriptomic Response of Postprandial Blood, Subcutaneous Adipose Tissue and Muscle to a combined lifestyle intervention in older adults
F. Bogaards et. al, 2023
Risk prediction, Genetics
Integration of polygenic and gut metagenomic risk prediction for common diseases
Y. Liu et. al, 2023
Genetics, Mortality & multi-morbidity, Methods
Multi-omic spatial effects on high-resolution AI-derived retinal thickness
V. Jackson et. al, 2023
R. Mustafa et. al, 2022
Medicines & trials, Exposome & nutrition, Cardiovascular disease
Effect of fatty and lean fish intake on lipoprotein subclasses in subjects with coronary heart disease: A controlled trial
A. Erkkilä et. al, Journal of Clinical Lipidology, 2013
Cardiovascular disease
Cross-sectional and longitudinal associations of circulating omega-3 and omega-6 fatty acids with lipoprotein particle concentrations and sizes: population-based cohort study with 6-year follow-up
P. Mäntyselkä et. al, Lipids in Health and Disease, 2014
E. Raitoharju et. al, Molecular and Cellular Endocrinology, 2014
K. Fischer et. al, PLoS Medicine, 2014
A. Jelenkovic et. al, Atherosclerosis, 2014
Genetics, Methods
Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression
P. Marttinen et. al, Bioinformatics, 2014
Ageing & dementia
A metabolic view on menopause and ageing
K. Auro et. al, Nature Communications, 2014