Project description
Genetic and geographical determinants of depression
Maternal depression (MD) is the leading cause of perinatal mortality and it accounts for 20 % of all postpartum deaths. Although depression is projected to be the major contributor to disease burden worldwide by 2030, we lack fundamental knowledge on its aetiology. To address this issue, the EU-funded GenGeoRisk project will use data from MoBa, the world’s largest pregnancy cohort undertaken in the Norwegian population, to identify genetic variants specific to MD. The aim is to determine one’s general predisposition to psychopathologies and identify geographical parameters that may affect MD risk. Considering the high prevalence of depression and its pervasive and devastating impact, the project's results will help improve disease management.
Objective
We can all name a family member, close friend, colleague or acquaintance who has suffered from depression. It is a common, pervasive and devastating illness characterised by persistent episodes of low mood. Depression affects individuals across all geographical locations and by the year 2030 it will be the largest contributor to disease burden worldwide. Depression that occurs in women during pregnancy and post-partum is referred to as maternal depression (MD). MD is the leading cause of perinatal mortality and it accounts for ∼20% of all postpartum deaths. Despite this profound individual and societal burden, the aetiology of depression remains poorly understood in part, due to three research barriers: 1) lack of success in identifying genetic variants specific to MD 2) inadequate account of environmental risk factors in genetic research and 3) heterogeneity. GenGeoRisk will address each of these research barriers in the following ways: 1) I will use aggregates of genetic variants (polygenic scores) derived from other successful studies of psychiatric traits to calculate genetic p—a general dimension, which sits at the top of a hierarchical structure of psychopathological dimensions and captures one’s general liability to psychopathology. Genetic p will be used to predict MD symptom risk and resilience in the world’s largest (N= 240 000) pregnancy cohort (MoBa; the Norwegian, mother, father and offspring cohort study) 2) I will use geographical location data from the entire Norwegian population (> 7 000 000) that has been recently linked to MoBa data to illuminate how MD symptoms and genetic p vary across neighbourhoods and diverse Norwegian municipalities 3) I will focus on MD, a less heterogeneous form of major depression, and use genetic p to discover MD subtypes. GenGeoRisk will be the first intergenerational, multi-environmental and DNA based investigation of MD to date.
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
- natural sciences biological sciences genetics DNA
- medical and health sciences clinical medicine obstetrics postnatal care
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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-2019
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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.
0313 Oslo
Norway
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.