Autism
Conditions
Keywords
nuMoM2b, autism, prediction
Brief summary
This study will recruit nuMoM2b participants to complete autism screening surveys and will identify 200 children with autism and 400 controls for the study. It will then use existing biospecimens to measure pesticides in maternal urine and metabolomic urine and cord blood predictors of autism risk. All data will then be used to build a predictive model for autism risk at the child's birth.
Detailed description
NuMoM2b participans will be contacted as part of ongoing contacts and will be consented for their offspring to participate. The children will also undergo an Assent process. Screening for autism will occur using standard validated tools and anyone who screens positive will have remote diagnostic testing with trained study staff. The study aims to identify a cohort of 200 children with autism and will then randomly select a group of 400 children typically developing. Predictive models for autism will be constructed using pregnancy and birth data as well as biomarkers from maternal urine and cord blood. We will include metabolomic biomarkers as well as environmental exposures to assess if they improve the predictive model.
Interventions
OTHERNone-placebo
No interventions performed
Sponsors
Indiana University
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* child of nuMoM2b study participant
Exclusion criteria
* no biological samples collected during pregnancy
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Diagnosis of autims | The children are age 11-14 currently. The outcome will be measured during contact with the children in the first 18 months of the project. | Autism diagnoses will be made using the Autism Diagnostic Inventory on all children who screen positive. Alternatively, if already diagnosed clinically, we will request the diagnostic tool used previously for the child. |
Outcome results
None listed