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Michigan State University Twin Registry (MSUTR)
Michigan State University Twin Registry logo
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Sample details

MSUTR is a population-based twin registry based at Michigan State University (MSU) in the United States. It was created to examine developmental differences in genetic, environmental, and neurobiological influences on internalising and externalising symptoms. The registry began in 2001 as a university-based registry assessing undergraduates enrolled at MSU and expanded in 2004 to include twins aged 3 to 55. As of 2024, it includes thousands of twins and their families from Michigan and surrounding states. Since 2008, most participants have been recruited through the Michigan Twins Project (MTP); a brief mail-in survey which serves as an introduction to the registry and is now the most common way for twins to get involved with the MSUTR.

Study design
Registry, Cohort - twin, Cohort - open

Number of participants at first data collection

33,686 (participants as of 2024)

Recruitment is ongoing

Age at first data collection

3 - 55 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adolescents
Children and young people
Dizygotic and monozygotic twins
Family members
Middle-aged people
Dataset details

Country

United States of America

Year of first data collection

2001

Primary Institutions

Michigan Department of Health and Human Services (MDHHS)

Michigan State University (MSU)

Links

msutwinstudies.com/

Profile paper DOI

doi.org/10.1017/thg.2019.57

Funders

Avielle Foundation (now known as Avielle Initiative)

Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)

Intramural Research Grants Program (IRGP)

National Institute of Mental Health (NIMH)

National Institute of Neurological Disorders and Stroke (NINDS)

Ongoing?
Yes

Data types collected

neuroImagingData
mentalHealthData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • 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
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • Healthcare data
  • Medical birth registry
  • Other government data
  • Police & judicial system data
  • Tax, income & benefit data
Features

Engagement

  • Community engagement
  • Keywords

    Behaviour
    Biological samples/biospecimens
    Emotional symptoms
    Genetics
    Human development
    Personality
    Temperament
    Zygosity

    Consortia and dataset groups

    COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) project
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