Objective
Identifying factors contributing to treatment-resistance in psychiatric disorders could uncover shared aetiology or used to develop predictive tests to identify patients at risk of poor outcomes. Severe psychiatric disorders–here schizophrenia, bipolar disorder, major depressive disorder, and anorexia nervosa–have an enormous impact on morbidity. Up to 60% have poor outcomes despite adequate treatment. Those with treatment-resistant psychiatric disorders have high rates of mortality, higher health care costs, and are hospitalized longer. Further knowledge on how clinical, demographic, and genomic factors effect treatment-resistance in psychiatry is urgently needed. To date, I am unaware of any systematic assessment of genetic, clinical, and demographic factors associated with treatment-resistance across the 4 previously mentioned disorders simultaneously. Previous genomic studies investigating these disorders evaluated treatment-resistance for one disorder, were limited by small sample sizes, and did not consider a range of risk factors. First, I will investigate whether clinical and demographic factors are associated with treatment-resistant psychiatric disorders using Swedish National register data and whether they differ between disorders (N=20K). Second, I will examine whether different forms of genetic variation are associated with treatment-resistance, using existing samples (N=20K) with genome-wide genotyping, copy number variant, and exome data. Here, I will uncover knowledge about how genetic variation effects treatment-resistance, including shared genetic correlation. Third, I will examine the confounding effects of genetics on clinical and demographic factors for treatment-resistance. Completion of the proposed work could highly impact our understanding of treatment-resistance in psychiatry, and has the potential to reduce morbidity, mortality, and suffering in individuals with these disorders.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology demography mortality
- humanities history and archaeology history
- natural sciences biological sciences genetics DNA
- medical and health sciences clinical medicine psychiatry schizophrenia
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
171 77 STOCKHOLM
Sweden
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.