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Applications of Lifelines data and biosamples

Your search contains 510 results

Exploration Lifelines (synthetic) dataset for courses and education programmes University College Groningen

Primary applicant

  • Mattos, A.

Institute

  • RuG - University College Groningen (UCG)

Year of approval

2024

Labour market transitions of older workers; influence of health and workplace factors

Primary applicant

  • Venhorst, V.

Institute

  • RuG - Faculty of Spatial Science

Year of approval

2025

Characterization of large-scale ‘gut microbiota-diet-health’ relationships in human, using combined approaches of digital microbial ecology, metabolic modeling and artificial intelligence

Primary applicant

  • Berland, M.

Institute

  • French National Research Institute for Agriculture, Food and Environment - INRAE (FR)

Year of approval

2025

Genomics of Uncontrolled Eating: a GWAS meta-analysis

Primary applicant

  • Snieder, H.

Institute

  • UMCG - Department of Epidemiology

Year of approval

2025

Regional disparities in the determinants of population mental health

Primary applicant

  • Brouwer, S.

Institute

  • UMCG - Department of Health Sciences

Year of approval

2025

The impact of investments in disruptive technologies on the mental and physical well-being of employees

Primary applicant

  • Holthöwer, J.

Institute

  • RuG - Faculty of Economics and Business

Year of approval

2025

Metagenomics Analysis of Gut Microbiome in Indian Cohort

Primary applicant

  • Hiremath, V.

Institute

  • Institute of Genomics and Integrative Biology - IGIB (CSIR Govt. of India)

Year of approval

2025

Investigation of Cognitive Impairment and Molecular Mechanisms in Alzheimer's Disease through the Gut-Brain Axis

Primary applicant

  • Wu, H.

Institute

  • Xiangya Hospital Central South University

Year of approval

2025

The association between lifestyle factors and biological age based on DNA methylation

Primary applicant

  • van der Leeden, M.

Institute

  • Reade - Amsterdam Rehabilitation Research Center

Year of approval

2025

Large-scale data-driven approach to identify the factors that increase or decrease the risk of depression and suicidality in elderly caregivers caring for other elderly

Primary applicant

  • Jia-qi Tin, J.

Institute

  • The Chinese University of Hong Kong (CUHK) (CHN)

Year of approval

2025