Autism Clinical Trial
Official title:
SynapDx Autism Spectrum Disorder Gene Expression Analysis Study
This study will prospectively enroll approximately 880 children, at least 18 months and less
than 60 months of age, who have been referred to a pediatric developmental evaluation
center. Enrolled children will have blood drawn for RNA gene expression analysis and
optionally for metabolite, lipid and DNA analysis and undergo a clinical evaluation to
determine the presence or absence of a diagnosis of ASD.
The primary objective of this study is:
- To develop an algorithm to classify blood RNA gene expression patterns to maximize
agreement between the classification and a clinical assessment of presence or absence of
Autism Spectrum Disorders (ASD).
The secondary objectives of this study are:
- To develop an algorithm to classify plasma metabolite and/or lipid profiles in such a
way as to maximize agreement between the classification and a clinical assessment of
presence or absence of ASD.
- To prospectively assess the clinical sensitivity and specificity of the plasma
metabolite and/or lipid profile classification algorithm in a separate population
consisting of children referred to a developmental evaluation clinic for a possible
developmental disorder (DD).
- To evaluate clinical sensitivity and specificity of various combinations of gene
expression signature, metabolite and/or lipid signatures, and presence of
ASD-associated genetic variation detected by chromosomal microarray analysis (CMA) or
sequencing protein-coding regions of the genome.
The primary aim of this study is to define a gene expression signature indicative of ASD and
to establish its clinical sensitivity and specificity. Clinician diagnosis of ASD will be
made using DSM-5 as the reference standard instrument. The widely used diagnostic instrument
Autism Diagnostic Observation Schedule (ADOS-2) is a typical component of the clinical
assessment for a child diagnosed with ASD and this evaluation will be performed on all study
participants. Secondary aims of this study are (1) to define metabolite and lipid signatures
indicative of ASD and establish their clinical sensitivity and specificity and (2) to
determine clinical sensitivity and specificity of various combinations of gene expression
signature, metabolite and/or lipid signatures, and presence of ASD-associated genetic
variation detected by CMA and sequencing protein-coding regions of the genome
Analyses: Details of the analysis will be specified in a Statistical Analysis Plan (SAP),
which will include procedures for handling outliers, missing data, and differences across
sites. The SAP will be reviewed and approved by a committee of Principal Investigators (PIs)
before unblinding of the validation set.
Primary analyses: The primary outcomes of the study will be the estimates of the clinical
sensitivity and specificity of the SDX-002 test to classify subjects according to DSM-5 ASD
diagnosis, with associated 95% confidence intervals. Sensitivity and specificity will be
assessed on the Validation Phase population based on agreement with the clinical diagnosis
of presence or absence of Autism Spectrum Disorder by DSM-5 (published May 2013).
The gene expression signature will be trained on the 500 subject Development Phase set,
using 5-fold cross validation over the results of several machine learning algorithms,
including partial least squares, support vector machines, and boosted decision trees. The
training procedure will generate estimated ROC curves for each method, as well as confidence
intervals for the area under the curve (AUC). The final choice of a machine-learning
algorithm will be based on AUC, as well as on the estimated performance at the chosen
operating point on the ROC curve. The operating point will be chosen to provide high
sensitivity at an acceptable specificity.
Secondary analyses: In the majority of patients enrolled to date, consent was obtained for
collection of an optional bio-repository sample. The intended analysis of the bio-repository
samples has now been established (see also, secondary objectives listed above). The
metabolomic and lipomic signatures will be similarly assessed on the subset of the 500
subjects in the Development Phase set who consent to a bio-repository sample. In addition to
the gene expression signature, metabolite and/or lipid signatures and DNA analysis will be
combined with the gene expression signature in various configurations and the impact of
these additional measures on clinical sensitivity and specificity will be evaluated. If
these additional metabolomic/lipomic signatures and/or DNA analyses improve test
performance, these elements may be included in the SDX-002 assay.
Sensitivity and specificity the final SDX-002 assay will also be assessed among
subpopulations using demographic information and the results of developmental testing. There
are likely to be few subjects in many of these subpopulations and caution will be used in
interpreting the results. Planned subpopulation analyses include gender, age, ethnicity, ASD
DSM-IV-TR diagnostic subcategory, DSM-5 ASD severity level (social communication and
restricted interests/repetitive behaviors) and ADOS-2 scores.
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