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
Association between liver insulin resistance and cardiovascular risk factors
Vangipurapu et al. Journal of Internal Medicine 2012;272(4):402-8
Human genetics
Genome-wide association study identifies multiple loci influencing human serum metabolite levels
Kettunen et al. Nature Genetics 2012;44(3):269-76
Kristiansson et al. Circulation Cardiovascular Genetics 2012;5(2):242-49
Cardiovascular diseases
High-throughput quantification of circulating metabolites improves prediction of subclinical atherosclerosis
Würtz et al. European Heart Journal 2012;33(18):2307-16
Human genetics
Detailed metabolic and genetic characterization reveals new associations for 30 known lipid loci
Tukiainen et al. Human Molecular Genetics 2012:21(6);1444-55
Mäkinen et al. Journal of Proteome Research 2012;11(3):1782-90
Human genetics
A genome-wide screen for interactions reveals a new locus on 4p15 modifying the effect of waist-to-hip ratio on total cholesterol
Surakka et al. PLoS Genetics 2011;7(10):e1002333
Human genetics
Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma
Chambers et al. Nature Genetics 2011;43(11):1131-8
Human genetics
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
International Consortium for Blood Pressure Genome-Wide Association Studies et al. Nature 2011;478(7367):103-9
Stančáková et al. Diabetes 2011:60(5);1608-16
Human genetics
Effects of 34 risk loci for type 2 diabetes or hyperglycemia on lipoprotein subclasses in 6,580 nondiabetic Finnish men
Stančáková et al. Diabetes 2011;60(5):1608-16
ARTERIOSCLEROSIS, THROMBOSIS, AND VASCULAR BIOLOGY 2011;(31):1201-7
Cardiovascular diseases
Characterization of systemic metabolic phenotypes associated with subclinical atherosclerosis
Würtz et al. Molecular BioSystems 2011;7(2):385-93
Inouye et al. Molecular Systems Biology 2010;6:441
Method description
High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism
Soininen et al. Analyst 2009;134(9):1781-5