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GenGeoRisk

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Genetics Geography and the Intergenerational Transmission of Maternal Depressio...

Genetics Geography and the Intergenerational Transmission of Maternal Depression Risk 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 indi... ver más

31/01/2023

Innovasjon Norge

214K€

Presupuesto del proyecto: 214K€

Líder del proyecto

Innovasjon Norge No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-01-31

MSCA-IF-2019: Individual Fellowships

I+D

Cerrada hace 5 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

Innovasjon Norge

214.16K€ | Lider

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Duración del proyecto: 33 meses Fecha Inicio: 2020-04-14
Fecha Fin: 2023-01-31

Líder del proyecto

Innovasjon Norge No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 214K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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