B3411 - Using genetically informed designs to disentangle depression - 19/11/2019

B number: 
B3411
Principal applicant name: 
Alex kwong | UoB / IEU / Uni of Edinburgh
Co-applicants: 
Dr Mark Adams, Professor Andrew McIntosh
Title of project: 
Using genetically informed designs to disentangle depression
Proposal summary: 

Genome-wide association studies (GWAS) have been instrumental in highlighting associations between genetic variants and 1000s of traits. A recent GWAS of major depressive disorder (MDD) by the psychiatric genetics consortium (PGC) has recently identified 102 genetic variants associated with the disorder (Howard et al., 2019). In ALSPAC, genetic liability (indexed by polygenic risk scores) are associated with depression and numerous mood disorder phenotypes. However, genetics are only one side of the story and the interplay between genetic liability and environmental risk factors in the onset and maintenance of depression and related mood disorders is still unclear.

The data will be created by AK and will require a collaborator ID and DAA to have the data stored in Edinburgh on the secure server.

Impact of research: 
elucidate pathways to depression
Date proposal received: 
Friday, 15 November, 2019
Date proposal approved: 
Tuesday, 19 November, 2019
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Mental health, Statistical methods, Statistical methods