Publications
Nightingale Health’s technology is routinely used in world-class epidemiological and genetic studies. There are over 450 publications that have utilized our technology.
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
Inflammation
Metabolic risk factors
Metabolomics dissection of depression heterogeneity and related cardiometabolic risk
Alshehri et al. Psychological Medicine 2021
Human genetics
Triglyceride-lowering LPL alleles combined with LDL-C-lowering alleles are associated with an additively improved lipoprotein profile
Ibi et al. Atherosclerosis. 2021
Bioinformatics
A computationally efficient Bayesian seemingly unrelated regressions model for high-dimensional quantitative trait loci discovery.
Bottolo et al. J R Stat Soc Ser C Appl Stat. 2021 Aug;70(4):886-908.
Human genetics
A computationally efficient Bayesian Seemingly Unrelated Regressions model for high-dimensional Quantitative Trait Loci discovery
Bottolo et al. Journal of the Royal Statistical Society: Series C, 2021; 70: 886-908
Bioinformatics
A computationally efficient Bayesian seemingly unrelated regressions model for high-dimensional quantitative trait loci discovery.
Bottolo et al, J R Stat Soc Ser C Appl Stat. 2021 ;70(4):886-908
Metabolic risk factors
Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population
Julkunen et al. eLife 2021;10:e63033
Metabolic risk factors
Adulthood blood levels of hsa-miR-29b-3p associate with preterm birth and adult metabolic and cognitive health
Marttila et al. Sci Rep 2021; Apr 28;11(1):9203
Cardiovascular diseases
Causal Effects of Serum Levels of n-3 or n-6 Polyunsaturated Fatty Acids on Coronary Artery Disease: Mendelian Randomization Study
Park et al. Nutrients. 2021
Metabolic risk factors
Mendelian randomization identifies blood metabolites previously linked to midlife cognition as causal candidates in Alzheimer's disease.
Lord et al. PNAS 2021
Maternal health
Novel associations between parental and newborn cord blood metabolic profiles in the Norwegian Mother, Father and Child Cohort Study
Øyri et al. BMC Medicine 2021; Apr 14;19(1):91
Maternal health
Low CETP activity and unique composition of large VLDL and small HDL in women giving birth to small-for-gestational age infants
Roland et al. Scientific Reports 2021;11
Metabolic risk factors
HDL-mediated cholesterol efflux associates with incident kidney disease.
Kuusisto et al. Clinical Chemistry 2021;67(4):689-691
Human genetics
Genetically Downregulated Interleukin-6 Signaling Is Associated With a Favorable Cardiometabolic Profile
Georgakis et al. Circulation. 2021;143:1177–1180
Metabolic risk factors
Ketone body 3-hydroxybutyrate as a biomarker of aggression
Whipp et al. Sci Rep 2021; Mar 12;11(1):5813
Metabolic risk factors
Mitochondrial bioenergetic pathways in blood leukocyte transcriptome decrease after intensive weight loss but are rescued following weight regain in female physique athletes.
Sarin et al. The FASEB Journal. 2021; 35:e21484