Developing an integrated eQTL database for psychiatric disorder analysis = 정신질환 분석을 위한 통합된 eQTL 데이터베이스의 개발

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dc.contributor.advisorLee, Doheon-
dc.contributor.advisor이도헌-
dc.contributor.authorKwon, Ohhyeon-
dc.date.accessioned2021-05-12T19:33:31Z-
dc.date.available2021-05-12T19:33:31Z-
dc.date.issued2020-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=909912&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/283831-
dc.description학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2020.2,[iv, 50 p. :]-
dc.description.abstracteQTL analysis has been popular to find genetic etiology of psychiatric disorders. However, there is no integrated database which harbors linkage between eQTL gene and psychiatric disorders to show possible connections between them. In this research, we analyzed eQTL associations from the Stanley Medical Research Institute (SMRI) brain genomics data and integrated them with psychiatric disorder GWAS associations. As a result, we have calculated 316,319 eQTL associations from four tissues in gene and transcript level and developed an integrated database with gene-disorder network analysis results. With the database, users can get integrated information about enlisted entities with associations between them and get possible integrated insight towards genetic etiology of psychiatric disorders.-
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjecteQTL association▼aGWAS▼apsychiatric disorder▼anetwork analysis▼adatabase-
dc.subjecteQTL 연관관계▼a전장 유전체 연관 분석▼a정신질환▼a네트워크 분석▼a데이터베이스-
dc.titleDeveloping an integrated eQTL database for psychiatric disorder analysis = 정신질환 분석을 위한 통합된 eQTL 데이터베이스의 개발-
dc.typeThesis(Master)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :바이오및뇌공학과,-
dc.contributor.alternativeauthor권오현-
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BiS-Theses_Master(석사논문)
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