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Interdiscip Sci. 2019 Apr 16. doi: 10.1007/s12539-019-00328-9. [Epub ahead of print]

Detecting Methylomic Biomarkers of Pediatric Autism in the Peripheral Blood Leukocytes.

Author information

1
BioKnow Health Informatics Lab, College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, Jilin, China.
2
BioKnow Health Informatics Lab, College of Software, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, Jilin, China.
3
College of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun, 130012, Jilin, China.
4
College of Life Sciences, Jilin University, Changchun, 130012, Jilin, China.
5
School of Mathematics, Jilin University, Changchun, 130012, Jilin, China. zhaoss@jlu.edu.cn.
6
BioKnow Health Informatics Lab, College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, Jilin, China. FengfengZhou@gmail.com.
7
BioKnow Health Informatics Lab, College of Software, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, Jilin, China. FengfengZhou@gmail.com.

Abstract

Autism was a spectrum of multiple complex diseases that required an interdisciplinary group of experts to make a diagnostic decision. Both genetic and environmental factors play essential roles in causing the onset of Autism. Therefore, this study hypothesized that methylomic biomarkers may facilitate the accurate Autism detection. A comprehensive series of biomarker detection algorithms were utilized to find the best methylomic biomarkers for the Autism detection using the methylomic data of the peripheral blood samples. The best model achieved 99.70% in accuracy with 678 methylomic biomarkers and a tenfold cross validation strategy. Some of the methylomic biomarkers were experimentally confirmed to be associated with the onset or development of Autism.

KEYWORDS:

Autism; Feature selection; Methylomic biomarkers

PMID:
30993567
DOI:
10.1007/s12539-019-00328-9

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