Completed Mental Health Genetics & Molecular Biology

What causes major depression?

In plain English

AI plain-English summary

A team of researchers is collecting DNA and clinical data from 24,000 people with recurrent major depression and 24,000 healthy controls, aiming to pinpoint at least 30 specific genetic risk factors for the disorder. This matters because major depression is not a single disease but a broad syndrome with multiple underlying biological pathways. Current treatments are blunt tools, partly because the genetic architecture of depression remains largely unknown. Previous work by this group identified the first confirmed genetic risk locations, but larger samples are needed to find more. The current sample of 12,000 cases is too small. If successful, this fundamental science project will transform the biological understanding of depression. Knowing which genes increase risk—and how they interact—could eventually allow researchers to subgroup patients by biological mechanism rather than symptoms alone. That could lead to more targeted treatments and better clinical trial design. The project is primarily curiosity-driven: it seeks to map the genetic landscape of a common, poorly understood condition. Similar fundamental genetic studies of other diseases have later enabled drug discovery and personalised medicine, though no immediate clinical application is promised here.

View original technical description
The objective of this proposal is to discover genetic loci that impact on risk for major depressive disorder (MDD). Our previous Wellcome funded work in China developed a consortium that delivered the first replicated genome-wide significant loci influencing MDD. We now want to take that success forward. Success depends on access to a large, suitably characterized, clinical sample. Of all common diseases, MDD requires most attention to the quality and nature of phenotyping. This is because MDD likely represents a broad neurobiological syndrome with multiple inter-locking etiologic pathways rather than a single disease entity with a clearly defined pathophysiology. We aim to collect 24,000 cases of recurrent major depression and 24,000 screened controls, using a collection strategy that maximizes clinical severity and homogeneity. Together with our existing sample of 12,000, the total sample will be 60,000, sufficent to identify at least 30 genetic risk loci. This will transform our understanding of the origins and nature of MDD, providing a starting point for improvements in mental health care.

View the original record at the funder ↗

Researchers

Jonathan Flint (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

The genetics of depression in diverse populations
Prediction and analysis of a regulatory SNP map of Major Depressive Disorder
A whole genome association study of unipolar depression
Identifying genomic and phenotypic risk factors for the clinical progression of depressive symptoms
Decoding Depression: Integrating Genetics, Environment, and Clinical Data to Predict Prognosis and Treatments

Original classification

Collaborative Award in Science

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