Detecting Methylomic Biomarkers of Pediatric Autism in the Peripheral Blood Leukocytes

AbstractAutism 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.
Source: Interdisciplinary Sciences, Computational Life Sciences - Category: Bioinformatics Source Type: research

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Source: Journal of the Association of European Psychiatrists - Category: Psychiatry Tags: Eur Psychiatry Source Type: research
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Source: Journal of the Association of European Psychiatrists - Category: Psychiatry Tags: Eur Psychiatry Source Type: research
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Source: Journal of the Association of European Psychiatrists - Category: Psychiatry Tags: Eur Psychiatry Source Type: research
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Source: Journal of the Association of European Psychiatrists - Category: Psychiatry Tags: Eur Psychiatry Source Type: research
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Source: SafetyLit - Category: International Medicine & Public Health Tags: Ergonomics, Human Factors, Anthropometrics, Physiology Source Type: news
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Source: SafetyLit - Category: International Medicine & Public Health Tags: Research Methods, Surveillance and Codes, Models Source Type: news
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Source: Annals of Indian Academy of Neurology - Category: Neurology Authors: Source Type: research
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Source: Case Reports in Psychiatry - Category: Psychiatry Tags: Case Rep Psychiatry Source Type: research
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