| Application: | 6553, Genome-wide association studies of mental health. |
| Title: | Identification of novel genome-wide associations for suicidality in UK Biobank, genetic correlation with psychiatric disorders and polygenic association with completed suicide |
| Size: | 1580 B |
| Archived: | 23 Oct 2020 |
| Stability: | Complete |
| Personal: | No individual-level data |
Return 2524
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Notes
We conducted a Genome wide association study of a suicidality scale. Usually suicidality and self-harm are treated as separate phenotypes but by combining them into a single scale we uncovered genes that associated with our scale. We validated our results by using Polygenic risk scoring ( a method that allows us to calculate an individual s genetic loading for a trait and found that the loading for suicidality was higher in those who had committed suicide than our control group which was people who have never had any suicidal thoughts or thoughts of self-harm.Application 6553
Genome-wide association studies of mental health.
The primary aim of this research is to identify genetic associations with a) major depression plus mania/bipolar disorder, and b) vulnerability to depression and other negative mood states (as measured by neuroticism score). These aims will be achieved by conducting genome-wide association studies (GWAS), making use of data from the UK Biobank genotyping project. This project is linked to previous analyses our team have undertaken on Biobank data in the areas of mood disorder, cognitive function, cardiometabolic disease and ethnicity and meets Biobank?s stated purpose of improving the prevention, diagnosis and treatment of illnesses by identifying genetic risk factors for common mental disorders, as well as genetic risk factors for trait-like vulnerability to these disorders (neuroticism). Insights from this work will lead to a better understanding of disease processes in depression, better approaches to diagnosis and ultimately the development of new treatments. This work will consist of genome-wide association studies (GWAS), making use of data from the UK Biobank genotyping project. These GWAS studies on depression and neuroticism will make use of phenotypic and genetic data on all Biobank participants (full cohort).
| Lead investigator: | Dr Rona Strawbridge |
| Lead institution: | University of Glasgow |
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|---|---|---|---|
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| 1963 | 6553 | Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia | 4 Feb 2020 |
| 1981 | 6553 | Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort | 10 Feb 2020 |
| 3378 | 6553 | Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure | 26 Apr 2021 |
| 2121 | 6553 | Polygenic risk for schizophrenia and season of birth within the UK Biobank cohort | 10 Mar 2020 |
| 3888 | 6553 | The genomic basis of mood instability: identification of 46 loci in 363,705 UK Biobank participants, genetic correlation with psychiatric disorders, and association with gene expression and function | 29 Sep 2021 |
| 3884 | 6553 | The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically diferent groups of individuals | 29 Sep 2021 |
1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 2525 | Identification of novel genome-wide associations for suicidality in UK Biobank, genetic correlation with psychiatric disorders and polygenic association with completed suicide | Strawbridge RJ et al. | 2019 | EBioMedicine |
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