Capabilities
Overall description of capabilities
- Details
- Capability: Capabilities
Project Timeline: 6/19/2006-9/30/2007
For this project, Sequoia Foundation, on behalf of the California Department of
Public Health (formerly the California Department of Health Services), Genetic Diseases Branch, provided to the CDC population-based linked prenatal screening, newborn screening and vital statistics datasets and associated maternal prenatal screening and newborn screening specimens existing biobanks in California.
Projects
- Maternal and Infant Genetic Contributions to Preterm Birth: the Inflammatory Response
- Preterm Markers Study-2009/10
- Development of a Research-Ready Pregnancy and Newborn Biobank in California
- National Newborn Screening and Genetics Resource Center
- Newborn Blood Spots, Collaborative Project with UCD Public Health Sciences Department
- Environmental and Molecular Epidemiology of Childhood Leukemia
- Evaluation of the Partnership for Smoke-Free Families Program
- Genetic Contributions to Preterm Birth Study
- Outcome Prediction in Children with Positive California Cystic Fibrosis Newborn Screening
- Prenatal and Neonatal Biologic Markers for Autism
- Ascertain Environmental Exposure During Pregnancy
- Enhancing the California Environmental Contaminant Biomonitoring Program
- CA Title 17 Analysis: Training/Certifying Renovation, Remodeling, and Painting Activities
- Children's Health Initiative - Impacts of Childhood Asthma in California
- Prenatal Smoke Exposure and Age at Menarche
- Selection In Utero: A Test of Competing Explanations
- iCARE General Population File
- Case-Control Study of Maternal and Infant Genetic Contributions to Preterm Birth
- California's Chronic Disease Environmental Health Surveillance System
- Design of California's Response and Surveillance System for Childhood Lead Exposures (RASSCLE II) System
- Data Mapping California's Blood Lead Testing Reports
- California Electronic Blood Lead Reporting Security and Data Transmission Upgrades
- Cystic Fibrosis Foundation Patient Registry Data Analysis