Discovery and Neurobiological Modeling of Rare Genetic Variant Risk for Mental Illness

Job De Jong

Discovery and Neurobiological Modeling of Rare Genetic Variant Risk for Mental Illness

Job De Jong

Psychiatry

Research output: Types of Thesis › Doctoral Thesis › Internal

Abstract

The subject of this thesis is the role of rare genetic variation in the etiology of psychiatric disorders. The studies included in this work include a human genetics study on depression, a disease-modeling study for autism spectrum disorder using brain organoids, and the generation of an in vitro cellular drug-screening platform for schizophrenia. The research participants in these studies come from the genetically isolated Amish and Mennonite populations.

Original language	English
Awarding Institution	Erasmus University Rotterdam
Supervisors/Advisors	Kushner, Steven, Supervisor Markx, S (Sander), Co-supervisor
Award date	28 Sep 2021
Place of Publication	Rotterdam
Publication status	Published - 28 Sep 2021

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abstract = "The subject of this thesis is the role of rare genetic variation in the etiology of psychiatric disorders. The studies included in this work include a human genetics study on depression, a disease-modeling study for autism spectrum disorder using brain organoids, and the generation of an in vitro cellular drug-screening platform for schizophrenia. The research participants in these studies come from the genetically isolated Amish and Mennonite populations.",

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AB - The subject of this thesis is the role of rare genetic variation in the etiology of psychiatric disorders. The studies included in this work include a human genetics study on depression, a disease-modeling study for autism spectrum disorder using brain organoids, and the generation of an in vitro cellular drug-screening platform for schizophrenia. The research participants in these studies come from the genetically isolated Amish and Mennonite populations.

M3 - Doctoral Thesis

CY - Rotterdam

ER -

Discovery and Neurobiological Modeling of Rare Genetic Variant Risk for Mental Illness

Abstract

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