Genetic architecture of autism spectrum disorder : contribution of de novo, rare inherited, and common noncoding variants자폐 스펙트럼 장애의 유전학적 원인에 기여하는 비암호화 변이의 역할

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Autism spectrum disorder (ASD) is a neurodevelopmental disorder with high heritability estimate. To unravel the genetic causes of ASD, genetic variations that affect protein coding genes were extensively studied. Yet, the role of noncoding variants remains poorly understood. Here, by utilizing the three-dimensional structure of the genome, we attempted to assess the effect of noncoding de novo mutations (DNM) which were identified in simplex autism families. The noncoding DNMs showed evidence for transcriptional dysregulation and the target genes of noncoding DNMs were involved in biological pathways such as histone modification, prenatal brain development, and pregnancy. In addition to the DNMs, the effect of rare inherited variations was examined in multiplex autism families. Rare recessive variants shared by affected siblings were located in regulatory regions active in brain tissues, and filtered genes targeted by the variants were highly expressed in the brain. Specifically, prioritization by evolutionary features indicated a novel gene, FRRS1L, which is an outer-core component of the AMPA receptor complex. In the behavioral experiments, Frrs1l knockout mice demonstrated impaired recognition of social novelty, whereas human gene knockin mice showed improved social memory. Finally, to better interpret the noncoding common variants found from genome-wide association studies (GWASs), we developed a fine-mapping tool. The developed tool employs a convolutional neural network, which detects complex epigenetic patterns shared by risk variants scattered among multiple GWAS loci. When applied for major psychiatric disorders, the predicted causal variants were concentrated in active regulatory regions of relevant cell types and were in physical contact with transcription factors. When evaluating the ASD model, disease relevant features exhibited high level of importance, reflecting the pathophysiology of the disorder. Our findings highlight the role of diverse spectrum of noncoding variants in ASD.
Advisors
Choi, Jung Kyoonresearcher최정균researcherLee, Jeong Horesearcher이정호researcher
Description
한국과학기술원 :의과학대학원,
Publisher
한국과학기술원
Issue Date
2020
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 의과학대학원, 2020.2,[v, 161 p. :]

Keywords

autism▼anoncoding variant▼aepigenome▼ade novo mutation▼amachine learning; 자폐 스펙트럼 장애▼a비암호화 변이▼a후성유전체▼a드노보 변이▼a기계학습

URI
http://hdl.handle.net/10203/283479
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=901565&flag=dissertation
Appears in Collection
MSE-Theses_Ph.D.(박사논문)
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