Initiative / LIFEPATH

Lifecourse biological pathways underlying social differences in healthy ageing

Lifecourse biological pathways underlying social differences in healthy ageing

LIFEPATH logo
Studies 16
The overarching aim of the LIFEPATH project is to understand the determinants of diverging ageing pathways among individuals belonging to different socio-economic groups. This will be achieved via an original study design that integrates social science approaches with biology (including molecular epidemiology), using existing population cohorts and omics measurements (particularly epigenomics).
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Investigators Contacts
  • Prof. Paolo Vineis
    Imperial College London

General Information

Year created
2015
Types of cohorts
  • Population cohort
Countries
  • United Kingdom
  • Ireland
  • Portugal
  • France
  • Switzerland
  • Italy
  • Finland
  • United States of America
  • Australia
Setting
International
Funding
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Grant Agreement No. 633666
Criteria of cohort's to be included
LIFEPATH includes information and biological samples from 17 cohorts, including several with extensive phenotyping and repeat biological samples, and a very large cohort (1 million individuals) without biological samples (WHIP, from Italy). They were chosen for the combination of good measures of socioeconomic status, risk factors for non-communicable diseases (NCDs) and biomarkers already measured (or availability of blood samples for further testing).
Health topic
  • Ageing
  • Social environment
  • General epidemiology
  • Other -omics
Socio-environmental context
  • NA

Participants

Number of participants

Total
1,941,000
With harmonized data
102,774

Age range of the samples

Minimum age
0
Maximum age
150

Methodology for harmonization and integration

Strategy of harmonization
Ex-post
Data processing methods
  • NA
  • Type of infrastructure
    Some centrally, other locally
    Integrative data analysis
    • Meta-analyses
    • Pooled analyses
    Software
  • NA
  • Supplementary information
    More information: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503871/pdf/aging-11-101900.pdf https://www.pnas.org/content/pnas/suppl/2018/05/30/1800028115.DCSupplemental/pnas.1800028115.sapp.pdf

    Number of cohorts

    Total
    18
    With harmonized data
    8
    Will more cohorts be harmonized?
    Number of harmonized variables (max.)
    270

    Access

    Availability of metadata
    Availability of individual data

    Individual Studies

    Acronym Name Study design Participants Countries
    UK Household Longitudinal Study Understanding Society: The UK Household Longitudinal Study Population cohort 40,000
    COLAUS Study COLAUS Study Population cohort
    CONSTANCES Cohorte des consultants des Centres d’examens de santé Population cohort 200,000
    E3N The French E3N Prospective Cohort Study (E3N) Population cohort 100,000
    EPIPorto EPIPorto Other 2,485
    Gazel The Gazel Cohort Population cohort 20,625
    Generation XXI Generation XXI Population cohort 8,647
    Growing Up in Ireland Growing Up in Ireland Population cohort 19,500
    Italy EPIC-Italy Patients' cohort 47,746
    MCCS Melbourne Collaborative Cohort Study (or Health 2020) Population cohort 41,513
    NCDS National Child Development Study Population cohort 17,634
    SKIPOGH Swiss Kidney Project on Genes in Hypertension (SKIPOGH) Patients' cohort 1,128
    The Airwave Health Monitoring Study The Airwave Health Monitoring Study. Tissue Bank Population cohort 53,000
    TILDA The Irish Longitudinal Study of Ageing Population cohort 8,500
    WHIP Work History Panel (WHIP) - Health Italy Population cohort 370,000
    YFS Cardiovascular Risk in Young Finns Study Population cohort 3,596