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Personalized Environment and Genes Study (PEGS)
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Sample details

PEGS follows approximately 20,000 adults to discover how the environment and genes affect health. In 2002, PEGS was initially established as the Environmental Polymorphisms Registry (EPR), and the Environmental Polymorphisms Pilot Study (EPPS) was established to assess willingness to participate in a longitudinal cohort. Based on the favorable response rate, enrolment for PEGS began in 2005 by recruiting individuals living in the greater Research Triangle Park region in North Carolina, United States of America, who reflect the overall demographics of the area in terms of age, gender, race and ethnicity. Participants are primarily female (62%) and white (63%), with a mean age of 50 years. All participants are followed up periodically for up to 25 years after enrolment, and approximately 11,000 are actively engaged with annual contact.

Study design
Cohort - open, Cohort - research programme, Cohort

Number of participants at first data collection

19,445 (participants)

Recruitment is ongoing

Age at first data collection

≥ 18 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
Individuals living in the greater Research Triangle Park region in North Carolina in terms of age, gender, race and ethnicity.

Sample features

Adults
Community-based sample
Dataset details

Country

United States of America

Year of first data collection

2002 (EPR/EPPS)

2005 (PEGS)

Primary Institutions

National Institute of Environmental Health Sciences (NIEHS)

Links

niehs.nih.gov/research/atniehs/labs/crb/studies/pegs

clinicaltrials.gov/study/NCT00341237

clinicalstudies.info.nih.gov/protocoldetails.aspx

Funders

National Institute of Environmental Health Sciences (NIEHS)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Physical environment assessment (e.g. pollution, mould)
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-completed questionnaire – unspecified
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Geographic, spatial & environmental data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Asthma
    Biological samples/biospecimens
    Cancer
    Cardiovascular health and disease
    Diabetes
    Environment
    Environmental exposures
    Genetics
    Genomics
    Genotyping
    Lifestyle
    Medication
    Physical health
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