Phenotypic Data

Phenotypic data is collected for the SPARK cohort to enrich our understanding of the way autism presents, both within and across individuals. These data can be linked with genomic data to understand how genetic changes impact development, symptoms, and behavior. They can also be used to answer other questions about topics such as diagnostic timing and accuracy, symptom presentation, co-occurring conditions, or sex differences.

The phenotyping datasets associated with the SPARK cohort includes both basic demographic variables (age, sex, race, ethnicity) as well as a range of other information covering:

  • developmental, family, and medical history
  • symptom expression
  • adaptive functioning
  • co-occurring behavioral and psychiatric conditions

Alongside these measures is additional data about family members, including biological parents and siblings. Information is reported by caregivers for children and dependent adults with autism and self-reported by independent adults with autism. Cognitive and diagnostic testing data, extracted from in-person clinical visits, are available for a subset of the cohort, and many phenotypic datasets with a range of different measures and collected on subsets of the cohort via Research Match are also available.

Phenotypic data from 390,466 individuals (including more than 100,000 individuals with autism) is currently available. Many individuals with phenotypic data also have genomic data available through SFARI Base. Individuals with phenotypic data include:

  • Total number of children under 18 with autism: 129,355
  • Total number of adults with autism:32,883
  • Total number of female probands: 48,771
  • Total number of male probands: 113,655
  • Total number of unaffected siblings: 54,976
  • Total number of enrolled twins, triplets, and quadruplets: 9,331
  • Total number of multiplex families: 26,289

A summary of key phenotypic data types is available below:

Instrument Name and Publisher Measure Format Measure Description Administrations available by role
ADOS

ADOS (original version),
modules 1-4

ADOS-2, modules T-4

WPS
Medical record upload by SPARK clinical site staff members ASD diagnostic test Available on select ASD participants from select clinical sites
Area Deprivation Index
Kind AJH, Buckingham W.
University of Wisconsin
School of Medicine and
Public Health, 2019
Systematically generated based on parent/guardian/ self-report of physical address Rank of socioeconomic disadvantage by neighborhood

Both version 2015 and 2020 are included in the file

All SPARK participants
Adult Self-Report

ASEBA 2003
Online, self-report Adaptive functioning, problems, and substance use Independent ASD adults
18-59 years

Non-ASD adults, 18-59 years
Background History Questionnaire-Adult

SPARK
Online, self-report Demographics, treatment, and social history Independent ASD adults
Background History Questionnaire-Child/Dependent

SPARK
Online, parent/guardian report Demographics, treatment, and social history ASD children

Dependent ASD Adults
Background History Questionnaire-Sibling

SPARK
Online, parent/guardian report Demographics, treatment, and social history Non-ASD siblings < 18 years
Basic Medical Screening Questionnaire

SPARK
Online, self or parent/guardian report Medical history All ASD individuals

Non-ASD Parents

Non-ASD Siblings
Child Behavior Checklist for ages 1.5 to 5 years (CBCL/1-5)

ASEBA 2000
Online, parent/guardian report Problem behavior ASD children, 1.5-5 years
Child Behavior Checklist for ages 6 to 18 years (CBCL/6-18)

ASEBA 2001
Online, parent/guardian report Problem behavior ASD children, 6-18 years
Developmental Coordination Disorder Questionnaire (DCDQ)

B.N. Wilson
Online, parent/guardian report Motor Delays ASD children, 5-15 years
Intellectual Quotient data (IQ)

various
Medical record upload by SPARK clinical site staff members IQ scores and classifications from a variety of IQ tests and batteries. Please review the data dictionary for a full list of possible test types Available on select ASD participants from select clinical sites
Predicted Cognitive Impairment

SPARK
Machine learning and human-derived calculations Machine learning and human-derived calculations of intellectual disability ASD children and dependent adults with enough data points for the calculation to be used
Repetitive Behavior Scale- Revised (RBS-R)

Bodfish
Online, parent/guardian report Repetitive behaviors ASD children, 3 years and older

Dependent ASD adults
Social Communication Questionnaire (SCQ) – Lifetime

WPS 2003
Online, parent/guardian report Screen of ASD markers ASD children, 2-17 years 11 months

Non-ASD siblings, 2-17 years 11 months
Social Responsiveness Scale, Second Edition (SRS-2) – Adult Self Report

WPS 2012
Online, self-report Screen of ASD markers Independent ASD adults, 19 years and older

Non-ASD adults, 19 years and older
Vineland Adaptive Behavior Scales, Third Edition (Vineland-3)

Pearson Assessments 2016
Online, parent/guardian report Adaptive behaviors ASD children

Dependent ASD adults

All phenotypic data, both centrally collected through SPARK and shared by Research Match investigators, are available to approved researchers via SFARI Base.

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