Publications
Nightingale’s technology is routinely used in world-class epidemiological and genetic studies. There are over 350 publications that have utilized our technology. If you are interested in using our technology for medical research, visit our website for researchers here.
All
Ageing
Bioinformatics
Cancer
Cardiovascular diseases
Drug development
Fatty liver disease
Gut microbiota
Human genetics
Kidney disease
Maternal health
Metabolic risk factors
Method description
Neurological diseases
Nutrition
T1D
T2D
Cardiovascular diseases
Nuclear magnetic resonance-based metabolomics identifies phenylalanine as a novel predictor of incident heart failure hospitalisation
Delles et al. European journal of heart failure 2018;20(4):663-73
Cardiovascular diseases
Metabolic Profiling of Adiponectin Levels in Adults: Mendelian Randomization Analysis
Borges et al. Circulation: Cardiovascular Genetics 2017;10(6):e001837
Cardiovascular diseases
Statin Effects on Metabolic Profiles: Data From the PREVEND IT (Prevention of Renal and Vascular End-stage Disease Intervention Trial)
Kofink et al. Circulation: Genomic and Precision Medicine 2017;10(6):e001759
Houttu et al. Clinical Nutrition 2018;37(6):1955-66
Cardiovascular diseases
Treatment with liraglutide may improve markers of CVD reflected by reduced levels of apoB
Engelbrechtsen et al. Obesity Science & Practice 2017;3(4):425-33
Cardiovascular diseases
Comprehensive lipid and metabolite profiling of children with and without familial hypercholesterolemia: A cross-sectional study
Christensen et al. Atherosclerosis 2017;266:48–57
Cardiovascular diseases
Common, low-frequency, and rare genetic variants associated with lipoprotein subclasses and triglyceride measures in Finnish men from the METSIM study
Davis et al. PLoS Genetics 2017;13(10):1007079
Röytiö et al. British Journal of Nutrition 2017;118(5):343-352
Human genetics
Trans-ancestry fine mapping and molecular assays identify regulatory variants at the ANGPTL8 HDL-C GWAS locus
Cannon et al. G3 (Bethesda) 2017;7(9)3217-3227
Fizelova et al. The Journal of Clinical Endocrinology & Metabolism 2017;102(9):3600–09
Cardiovascular diseases
Association of Genetic Variants Related to CETP Inhibitors and Statins With Lipoprotein Levels and Cardiovascular Risk
Ference et al. Journal of the American College of Cardiology 2017;318(10):947-56
Maternal health
Association of pre-pregnancy body mass index with offspring metabolic profile: Analyses of 3 European prospective birth cohorts
Santos Ferreira et al. PLoS Medicine 2017;14(8):e1002376
Cardiovascular diseases
Experimental and Human Evidence for Lipocalin‐2 (Neutrophil Gelatinase‐Associated Lipocalin [NGAL]) in the Development of Cardiac Hypertrophy and heart failure
Marques et al. Journal of the American Heart Association 2017;6(6):e005971
Bioinformatics
metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis
Cichonska et al. Bioinformatics 2016;32(13):1981-89
Bioinformatics
Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression
Marttinen et al. Bioinformatics 2014;30(14):2026-34