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
Preiss et al. Diabetic Medicine 2016;33(11):1569-74
Würtz et al. International Journal of Epidemiology 2016;45(5):1493-506
Van de Rest et al. Aging 2016;8(1):111-24
Human genetics
Multiple Hepatic Regulatory Variants at the GALNT2 GWAS Locus Associated with High-Density Lipoprotein Cholesterol
Roman et al. American Journal of Human Genetics 2015;97(6):801-15
Chambers et al. The Lancet Diabetes & Endocrinology 2015:3(7);526-34
Chambers et al. The Lancet Diabetes & Endocrinology 2015:3(7);526-34
Fizelova et al. Atherosclerosis 2015;240(1):272-77
Tillin et al. Diabetologia 2015;58(5):968-79
Metabolic risk factors
Sex hormone-binding globulin associations with circulating lipids and metabolites and the risk for type 2 diabetes: observational and causal effect estimates
Wang et al. International Journal of Epidemiology 2015;44(2):623-37
Cardiovascular diseases
Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: a Mendelian randomisation analysis
The Interleukin 1 Genetics Consortium. The Lancet Diabetes & Endocrinology 2015:3(4);243-53
Cardiovascular diseases
Metabolite profiling and cardiovascular event risk: a prospective study of three population based cohorts
Würtz et al. Circulation 2015;131(9):774-85
Wahl et al. BMC Medicine 2015;13:48
Method description
Quantitative Serum Nuclear Magnetic Resonance Metabolomics in Cardiovascular Epidemiology and Genetics
Soininen et al. Circulation Cardiovascular Genetics 2015;8(1):192-206
Metabolic risk factors
The biomarker GlycA is associated with chronic inflammation and predicts long-term risk of severe infection
Ritchie et al. Cell Systems 2015:1(4);293-301
Fatty liver disease
Ketone body metabolism differs between simple steatosis and non-alcoholic steatohepatitis in obese humans
Männistö et al. Liver International 2015;35(7):1853-61