Environment-Mediated Genetics: The Power of Biological Non-Determinism for Mental Health
The EM-POWER project aims to uncover how modifiable social and lifestyle factors mediate genetic influences on brain and mental health, promoting a non-deterministic view of biology and personal agency.
Projectdetails
Introduction
Mental health problems are associated with variation in the brain and genome. The mechanisms underlying these associations are extremely hard to discern because they are subtly distributed across thousands of genes and not specific to neural processes. Meanwhile, a focus on biology tends to induce feelings of helplessness among those affected by mental health problems, as biology is typically seen as deterministic.
Proposal Overview
I propose that both our mechanistic understanding and the sense of personal agency will leap forward if we consider modifiable, heritable social and lifestyle factors (i.e. "environment") centrally within the causal chain from genes to brain to mental health.
Environmental Factors
Environmental factors are known to be heritable, yet a bottom-up gene-brain causal model prevails due to its intuitive and practical appeal. Standard methods are limited to pairwise associations between the many relevant genetic, brain, and environmental variables.
- The heritable environment is thus hard to account for.
- It is challenging to embrace it as an opportunity.
Method Development
We developed a new multivariate method that can identify patterns of shared genetic effects across thousands of variables. By combining this method with genetically informed causal models and family designs, we will:
- Reveal the overall explanatory power and pervasiveness of environment-mediated genetic influences on brain and mental health.
- Further characterize these to identify which environmental factors are potential mediators of genetic influences on brain and mental health.
- Investigate when these factors emerge and if and how they are personally modifiable.
Project Goal
The goal of EM-POWER is to lay empirical foundations for a new non-deterministic biological paradigm that leads to new mechanistic insights of environment-mediated biological mechanisms, within this project and beyond.
Future Outcome
The future outcome is that people will know the potential of personal control over biological factors and can break causal chains from genetic vulnerability to mental health problems.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.997.169 |
Totale projectbegroting | € 1.997.169 |
Tijdlijn
Startdatum | 1-5-2025 |
Einddatum | 30-4-2030 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- STICHTING RADBOUD UNIVERSITAIR MEDISCH CENTRUMpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Mental illness, substance use, and cardiovascular disease: Unravelling causal relationships
This project aims to clarify the bidirectional relationships between serious mental illness and its comorbidities using innovative epidemiological methods to enhance prevention and treatment strategies.
The PsychoGeography of Intergenerational Mobility: Early life socioeconomic position, mental health, and educational performance
The GeoGen study aims to explore the impact of socioeconomic status and genetic factors on children's mental health and educational outcomes using comprehensive data from Norway since 1940.
Solving the 'time puzzle' of epigenetic effects on child mental health
TEMPO seeks to unravel the epigenetic 'time puzzle' in child mental health by investigating timing effects at birth to enhance early risk detection and understanding of mental health origins.
Mapping the behavioural causes of weight change variability with genetic lottery
The OBECAUSE project aims to streamline obesity treatment predictions through a machine learning pipeline and genomic analysis, creating targeted interventions for effective weight loss.
Enabling personalised diagnosis, treatment, and stratification through whole-body metabolic modelling of an individual’s genome, metabolome, and metagenome.
AVATAR aims to develop a mechanistic computational modeling framework to link genetic variants, metabolism, and environmental factors for personalized medicine in diagnosing and treating metabolic diseases.