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Identifying Clinical, Demographic, and Genomic Risk Factors for Treatment-Resistant Psychiatric Disorders

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.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

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(opens in new window) H2020-MSCA-IF-2017

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Coordinator

KAROLINSKA INSTITUTET
Net EU contribution

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.

€ 185 857,20
Address
NOBELS VAG 5
171 77 STOCKHOLM
Sweden

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Region
Östra Sverige Stockholm Stockholms län
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 185 857,20
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