LAPSE:2021.0787
Published Article
LAPSE:2021.0787
Towards the Development of a Diagnostic Test for Autism Spectrum Disorder: Big Data Meets Metabolomics
Juergen Hahn
October 21, 2021
Autism Spectrum Disorders (ASD) are a group of neurological disorders that present with limited social communication/interaction and restricted, repetitive behaviors/interests. The current estimate is that approximately 1.9% of children in the US are diagnosed with ASD. While this is a high prevalence and the economic burden by ASD is significant, there is still considerable debate regarding the underlying pathophysiology of ASD. Because of this lack of biological knowledge, autism diagnoses are restricted to observational behavioral and psychometric tools. This work takes a step towards the goal of incorporating bio-chemical data into ASD diagnosis by analyzing measurements of metabolite concentrations of the folate-dependent one-carbon metabolism and transulfuration pathways. Unlike traditional approaches that are based upon comparing differences in individual metabolite concentrations between children with and without an ASD diagnosis, we made use of multivariate classification via Fisher Discriminant Analysis and used Kernel Partial Least Squares regression to predict adaptive behavior. Although these results need to be replicated in independent studies, these analyses suggest combinations of metabolites in these path-ways as potential biomarkers for ASD.
Keywords
autism spectrum disorder, fisher discriminant analysis, kernel partial least squares
Subject
Suggested Citation
Hahn J. Towards the Development of a Diagnostic Test for Autism Spectrum Disorder: Big Data Meets Metabolomics. (2021). LAPSE:2021.0787
Author Affiliations
Hahn J: Rensselaer Polytechnic Institute
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Journal Name
CSChE Systems & Control Transactions
Volume
1
First Page
4
Last Page
5
Year
2021
Publication Date
2021-10-21
Version Comments
Original Submission
Other Meta
Proceedings of the Canadian Chemical Engineering Conference 2021, October 24-27, Montréal, Québec, Canada
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Oct 21, 2021
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CC BY-SA 4.0
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Oct 21, 2021
 
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