한빛사논문
Leejee Choia,b, Joon-Yong Ana,b,c,d,*
aSchool of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul, 02841, Republic of Korea bDepartment of Integrated Biomedical and Life Science, Korea University, Seoul, 02841, Republic of Korea cTransdisciplinary Major in Learning Health Systems, Department of Healthcare Sciences, Graduate School, Korea University, Seoul, 02841, Republic of Korea dBK21FOUR R&E Center for Learning Health Systems, Korea University, Seoul, 02841, Republic of Korea
*Corresponding author.
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a strong genetic component. Recently developed genomic technologies, including microarray and next-generation sequencing (NGS), have enabled researchers to genetic analyses aimed at identifying genetic variations associated with ASD and to elucidate the genetic architecture of the disorder. Large-scale microarray, exome sequencing analyses, and robust statistical methods have resulted in successful gene discovery and identification of high-confidence ASD genes from among de novo and inherited variants. Efforts have been made to understand the genetic architecture of ASD using whole-genome sequencing and genome-wide association studies aimed at identifying noncoding mutations and common variants associated with ASD. In addition, the development of systems biology approaches has resulted in the integration of genetic findings with functional genomic datasets, thereby providing a unique insight into the functional convergence of ASD risk genes and their neurobiology. In this review, we summarize the latest findings of ASD genetic studies involving large cohorts and discuss their implications in ASD neurobiology and in clinical practice.
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