Objective
Bipolar disorder is a leading cause of disability and death in women of childbearing age and episodes of bipolar disorder immediately following childbirth are common and clinically important. With its discrete, identifiable trigger, bipolar disorder triggered by childbirth represents a unique opportunity for risk prediction modeling in psychiatry.
Genetic variants have been robustly implicated in the susceptibility to bipolar disorder. Comprehensive approaches that integrate information on genetic susceptibility with clinical risk factors have been successfully applied to prediction modeling of many disorders and are needed in psychiatry. In this fellowship I plan to bring these techniques to psychiatry and to apply them to the prediction of episodes of bipolar disorder following childbirth.
My primary goal is to develop clinically useful predictive models for episodes of bipolar disorder triggered by childbirth. I anticipate that the predictive models will help in individualizing risk assessment, and thus improve the identification of women at risk and the clinical outcomes. In addition, by helping to inform understanding of the interplay of risk factors in pathogenesis the work will contribute towards more focused and effective clinical management.
This fellowship will build in two important ways on my PhD research in which I studied postpartum episodes in the large Cardiff bipolar disorder clinical datasets available at the time (N=2,032). First, I will develop and externally validate multivariable prediction models for postpartum bipolar disorder using very large international collaborative samples of over 20,000 individuals.
Second, I will receive training in new areas of research that will include multidisciplinary approaches to postpartum mood disorders (in Chapel Hill, North Carolina, USA), biostatistics and bioinformatics (in Cardiff, Wales and Chapel Hill).
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health sciences clinical medicine psychiatry
- medical and health sciences clinical medicine obstetrics postnatal care
- medical and health sciences clinical medicine obstetrics childbirth
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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.
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.
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.
FP7-PEOPLE-2013-IOF
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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.
Coordinator
CF10 3AT CARDIFF
United Kingdom
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.