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Korean Genome and Epidemiology Study - Twin and Family Study (KoGES)
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Sample details

The KoGES Twin and Family Study was launched to elucidate the roles of genes, environments, and genetic-environmental interactions in common complex diseases and traits. Based on an existing nationwide twin registry, letters were mailed to twin families to recruit identical twins, mainly aged 20 years and older, and their families. Both co-twins (as a pair) or both twins and their first-degree relatives were included in the study. Second-degree relatives of the twins were allowed to participate for extended families, and spouses were included when the twin’s offspring participated in the study. From 2005 to 2013, over 3,000 individuals, consisting of twins and their families, were recruited. A total of 675 twin families participated in the baseline study. The average age of participants at baseline was 43.96 years, and 58.9% were female.

Study design
Cohort - twin

Number of participants at first data collection

3,399 (participants)

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Dizygotic and monozygotic twins
Families
Dataset details

Country

South Korea

Year of first data collection

2008

Primary Institutions

Korea Disease Control and Prevention Agency (질병관리청, KDCA)

Ministry of Health and Welfare (보건복지부, MOHW)

Seoul National University (서울대학교, SNU)

Links

nih.go.kr/ko/main/contents.do

kdca.go.kr/

Profile paper DOI

doi.org/10.1093/ije/dyv316

Funders

Ministry of Health and Welfare (보건복지부, MOHW)

National Research Institute of Health

Ongoing?
Yes

Data types collected

Quantitative data collection
  • Interview – face-to-face
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Biomarkers
    Disease
    Epidemiology
    Gene-environment interactions (GxE)
    Genetic predisposition
    Healthcare guidelines
    Noncommunicable diseases
    Quality of life
    Risk factors

    Consortia and dataset groups

    Korean genome and epidemiology study (KoGES)
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