Big Data Problems
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The Michigan Twins Project aims to create a resource for studying the genetic, environmental, and neurobiological influences on health, involving approximately 30,000 twins recruited from birth records. It faces challenges related to big data including infrastructure, data analysis, and the necessity for collaboration with other researchers. The project seeks to assist investigators with study design, recruitment, and analysis while promoting effective data usage procedures.
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Big Data Problems
- 1. BIG DATA PROBLEMS: A “SUPPLY-SIDE” CASE STUDY Alex Burt, Ph.D. Department of Psychology
- 2. GOAL OF THE MICHIGAN TWINS PROJECT To develop a resource for MSU and outside scientists to examine genetic, environmental, and neurobiological influences on health conditions Twins born in Michigan Recruited from birth records in collaboration with the Michigan Department of Health and Human Services Assessed ~30,000 twins to date
- 3. WRINKLES… Ensuring MTP is used as a resource Developed a general questionnaire, and data use proposals/procedures Advertised Some twins in high demand Developed data use procedures Advisory Committee Alcoholism Allergies Asthma ADHD Anxiety Anorexia nervosa Bulimia nervosa Cerebral palsy Drug abuse Delinquency Depression Diabetes
- 4. WRINKLES… Big data problems Infrastructure Not only for MTP, for also for more intensive studies and linkages with the MDHHS Data analysis Most folks don’t know how to analyze twin data Especially true when you also consider data currently embedded in our intensive studies GWAS Imaging Daily hormone values Moment-by-moment coding of dyadic interactions
- 5. WRINKLES… Need to assist other investigators With study design To serve as the twin co-I’s on grant applications With recruitment With analysis Need a team…
- 6. THANK YOU! Special thanks to: •Kelly Klump, Ph.D., MTP Co-Director •MSU, including Drs. Baba, Schmitt, Gray, Wade