Numerous cohorts have already used Nightingale Health for metabolic profiling of projects, frequently at the whole cohort scale.
Our technology provides data in absolute concentration units with no batch effects. Therefore, it is straightforward to meta-analyze the data across different cohorts, replicate your findings and increase the statistical power of individual studies. Many scientific publications have proven that biomarkers associations based on Nightingale Health data are highly replicable across cohorts.
Nightingale Health encourages collaboration across multiple cohorts because such partnerships enable replication and validation of the key results.
This ensures high-quality, reproducible results and is often recommended for publication in the top journals. Eventually, this allows faster translation of the research findings into clinical use.
Uncovering disease mechanisms and translating your findings into a clinical context can help more people live healthier lives.
To make such collaborations easier, we have listed below some of the cohorts using Nightingale Health’s data. To unleash the strengths of replicable biomarker results for your data sets, we recommend contacting the senior study author or study PI for collaboration requests. It is easy to replicate results using summary statistics whenever sharing an individual person's data is challenging.
List of cohorts
Alzheimer's Disease Neuroimaging Initiative (ADNI)
Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation trial (ADVANCE trial)
Welsh et al. Diabetologia 2018. https://link.springer.com/...
Assessing the safety of lipid-modifying medications among Chinese adolescents: a drug-target Mendelian randomization study
Luo et al. BMC Med 2023 https://pubmed.ncbi.nlm.nih.go...
Almonds Trial Targeting Dietary Intervention with Snacks study (ATTIS)
Dikariyanto et al. The Americal Journal of Clinical Nutrition 2020. https://www.ncbi.nlm.nih.gov/...
Avon Longitudinal Study of Parents and Children (ALSPAC)
Bell et al. Journal of the American College of Cardiology 2018. https://www.jacc.org/...
Barwon Infant Study
Ellul et al. Pediatric Research 2020. https://www.nature.com/...
Biobanking Netherlands BBMRI-NL
Including Rotterdam Study, the LifeLines-DEEP cohort, Growing Old Together Study, Netherlands Epidemiology of Obesity. https://www.bbmri.nl/Omics-metabolomics
Breastfeeding and ApoB in late adolescence: a Hong Kong birth cohort study
Schooling et al. Eur J Pediatr 2023 https://pubmed.ncbi.nlm.nih.go...
British Regional Heart Study
Joshi et al. European Journal of Preventive Cardiology 2020. https://journals.sagepub.com/...
British Women’s Heart and Health Study (BWHHS)
Borges et al. Circulation: Cardiovascular Genetics. 2017. https://www.ahajournals.org/...
Born in Bradford
Taylor et al. Metabolites 2019. https://www.mdpi.com/...
Carotid Atherosclerosis: Metformin for Insulin Resistance study (CAMERA)
Preiss et al. Diabetic Medicine 2016. https://onlinelibrary.wiley.com/...
Cardiovascular Risk in Young Finns Study
Sliz et al. Human Molecular Genetics 2018. https://academic.oup.com/...
China Kadoorie Biobank
Holmes et al. JACC 2018. https://www.jacc.org/...
Cooperative Health Research in the Region of Augsburg (KORA)
Wahl et al. BMC Med 2015. https://www.ncbi.nlm.nih.gov/...
Copenhagen General Population Study
Balling et al. JACC 2020. https://www.sciencedirect.com/...
Estonian Biobank
FinnDiane Study
Mäkinen et al. Journal of Internal Medicine 2013. https://onlinelibrary.wiley.com/...
Finnish National THL Biobank
FINRISK cohorts
Locke et al. Nature 2019. https://www.nature.com/...
HUNT study
Fest et al. Endocrinology 2019. https://academic.oup.com/...
INTERVAL trial
Ference et al. JAMA 2017. https://pubmed.ncbi.nlm.nih.gov/28846118/
London Life Sciences Prospective Population Study (LOLIPOP)
Chambers et al. Lancet Diabetes Endocrinol 2015. https://www.ncbi.nlm.nih.gov/pmc/...
Longitudinal Study of Australian Children
Wang et al. International Journal of Epidemiology 2019. https://academic.oup.com/ije/...
Metabolic Syndrome In Men study (METSIM)
Gallois et al. Nature Communications 2019. https://www.nature.com/...
Mexico City Prospective Study
Northern Finland Birth Cohort 1966 and 1986
Wang et al. BMC Medicine 2016. https://www.ncbi.nlm.nih.gov/pmc/...
Prevención con Dieta Mediterránea PREDIMED+
Coltell et al. Nutrients 2020. https://www.mdpi.com/...
Prevention of Renal and Vascular End-stage Disease Intervention Trial (PREVEND IT)
Kofink et al. Circulation: Genomic and Precision Medicine 2017. https://www.ahajournals.org/...
PROspective Study of Pravastatin in the Elderly at Risk trial (PROSPER)
Delles et al. European journal of heart failure 2018. https://www.ncbi.nlm.nih.gov/pmc/...
Prostate Testing for Cancer and Treatment (ProtecT)
Beynon et al. International Journal of Cancer 2018. https://onlinelibrary.wiley.com/doi/...
Singapore Multiethnic Cohort (MEC)
South Asia Biobank
Southall And Brent Revisited Study (SABRE)
Tillin et al. Diabetologia 2015. https://link.springer.com/...
Special Turku Coronary Risk Factor Intervention Project study (STRIP)
Lehtovirta et al. the Journal of Pediatrics 2018. https://www.jpeds.com/article/...
TwinsUK, PREDICT study
Asnicaret al. Nature Medicine 2021. https://www.nature.com/articles/...
UK Biobank
United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS)
Borges et al. Circulation: Cardiovascular Genetics. 2017. https://www.ahajournals.org/...
UK Pregnancies Better Eating and Activity Trial (UPBEAT)
Mills et al. BMC Medicine 2019. https://bmcmedicine.biomedcentral.com/...
Whitehall II study
Akbaraly et al. Scientific Reports 2018. https://www.nature.com/...
If you have profiled your cohort with Nightingale Health and would like to be added to this list to enhance your collaboration with this large research community, please contact us at: research[at]nightingalehealth.com.
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