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United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) Longitudinal Women's Cohort (UKLWC)
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Sample details

UKLWC is a biobank of samples and data donated by the women who joined the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) for use in secondary research. Recruited between 2001 and 2005, participants included over 200,000 postmenopausal women from England, Wales and Northern Ireland, United Kingdom, aged 50 to 74 years at recruitment. The goal of this project was to create an ‘open research’ platform accessible to all bona fide scientists from academia and industry for the study of common disease and delivery of precision medicine. Participants provided a blood sample at recruitment, and a subset of women donated blood serum annually until 2011. Participants were followed up via linkage until 2020.

Study design
Biobank

Number of participants at first data collection

202,280 (participants)

Age at first data collection

50 - 74 years (participants)

Participant year of birth

Varied (participants)

Participant sex
Female

Representative sample at baseline?
No

Sample features

Adults
Middle-aged people
Older and elderly people
Postmenopausal
Women
Dataset details
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Countries

England, Northern Ireland, United Kingdom of Great Britain and Northern Ireland, Wales

Year of first data collection

2001

2000 (linkage)

Primary Institutions

Medical Research Council (MRC)

University College London (UCL)

Links

uklwc.mrcctu.ucl.ac.uk/

mrcctu.ucl.ac.uk/studies/all-studies/u/uklwc/

Profile paper DOI
Not available

Funders

Abcodia

Cancer Research UK (CRUK)

Medical Research Council (MRC)

National Institute for Health and Care Research (NIHR)

The Eve Appeal

Ongoing?
No

Data types collected

dataLinkage
Quantitative data collection
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Birth records and measurement
    Electronic health records
    Morbidity and mortality
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