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Complex clinical, neurobiological, and molecular signatures of the longitudinal course of psychosis: leveraging comprehensive phenotyping, novel machine learning, and (epi)genomic approaches

Complex clinical, neurobiological, and molecular signatures of the longitudinal course of psychosis: leveraging comprehensive phenotyping, novel machine learning, and (epi)genomic approaches
精神病纵向过程的复杂临床、神经生物学和分子特征:利用综合表型、新颖的机器学习和(表观)基因组方法
批准号:
268615304
负责人:
Professor Dr. Peter Falkai
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2015
资助国家:
德国
项目状态:
已结题
起止时间:
2014-12-31 至 2020-12-31

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中文摘要
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英文摘要
The overall goal of the PC1 project of PsyCourse is the identification of clinical, neurobiological, and molecular genetic signatures of the longitudinal course of major psychiatric disorders. As it is based upon the successful work of the Clinical Research Group 241 (KFO 241), a major focus will lie on schizophrenia (SZ) and bipolar disorder (BD). To better account for the etiological overlap between psychiatric phenotypes, we will now also include major depressive disorder (MDD). Over the course of 3 years, we will establish a deep-phenotyped cohort of 1,700 patients (700 SZ, 700 BD, 300 MDD) and 500 controls, for whom extensive phenotyping and biobanking (blood, DNA, RNA, plasma, serum) at at least 4 time points (0,6,12,18 months) will be available. This unique resource that has been made possible through KFO 241`s German-wide recruitment infrastructure will thus constitute the core resource for human-centered research across PsyCourse. We will apply advanced machine learning methods to the baseline and longitudinal phenotypic information in these cohorts to define novel target phenotypes of course and outcome for further molecular and statistical analyses. We will assess the feasibility of an individualized diagnostic classification and outcome prediction. A vast array of data will inform these novel analyses, such as socio-demographic, psychopathological, neurocognitive and genomic data. The machine-learning part of our project will also help define patients at the extreme ends of the course of disorder (worst vs. very favorable course). We will interrogate the complete genomic background of these two groups by whole-genomic sequencing to establish a potential involvement of rare variants determining course and outcome. Finally, using cutting-edge microRNAnome sequencing, we propose to establish regulatory elements as novel biomarkers for course in SZ. Thus, in its entirety, our project is one of the core projects within PsyCourse as it lays the foundation for the clinical research of the consortium and as it delineates novel, data-driven course phenotypes feeding into molecular analyses within PC1 and others within PsyCourse.
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会议论文
Efficacy of repetitive transcranial magnetic stimulation for the treatment of negative symptoms in schizophrenia
Clinical heterogeneity and familiarity of OCD
Funktionelle Kernspintomographie emotinalen Erlebens von Angehörigen schizophrener Patienten
Magnetresonanztomographische Untersuchungen von Patienten mit einer familiären Schizophrenie und deren Familienangehörigen
  • 批准号:
    5224656
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    1996
  • 负责人:
    Professor Dr. Peter Falkai
  • 依托单位:
国内基金
海外基金
"胚胎/生殖细胞发育特性激活”促进“神经胶质瘤恶变”的机制及其临床价值研究
  • 批准号:
    82372327
  • 项目类别:
    面上项目
  • 资助金额:
    49.00万元
  • 批准年份:
    2023
  • 负责人:
    马展
  • 依托单位:
OBSL1功能缺失导致多指(趾)畸形的分子机制及其临床诊断价值
  • 批准号:
    82372328
  • 项目类别:
    面上项目
  • 资助金额:
    49.00万元
  • 批准年份:
    2023
  • 负责人:
    项盈
  • 依托单位:
自身免疫性T细胞的抗原决定簇在抗肾小球基底膜病发病中的启动机制
  • 批准号:
    81170645
  • 项目类别:
    面上项目
  • 资助金额:
    60.0万元
  • 批准年份:
    2011
  • 负责人:
    崔昭
  • 依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data