Our study discusses the mental health data from UK Biobank and how it could be used. It's a complex picture because of multiple indicators that a participant may have a mental disorder - including self-report ("have you ever been diagnosed with..."), questionnaires with self-report checklists of symptoms, prescription data and hospital discharge.
Taking the example of depression, 33,000 people answering the mental health questionnaire report ever having a diagnosis of depression and 37,000 have a lifetime diagnosis of on a diagnostic symptom checklist, but these indicators only agree in 20,000. Not surprisingly, much smaller numbers had received a hospital diagnosis, at around 3,000, because few people are admitted to hospital for their depression. There is no "correct" indicator - all will have advantages and disadvantages. We suggest that the decision of which indicators to use, and how to combine, will depend on the aims of the study as trade-offs exist between sensitivity and specificity. However, all should be aware that the results of genetic or biomarker analyses may change according to how the researchers cut the cake - so the responsibility is on researchers to know the data and openly report their methods.
Investigations of the genetic overlap between internalising psychiatric disorders and co-morbid physical health disorders.
Identify changes in DNA that increase the risk for psychiatric disorders alone (specifically the internalising disorders: depression, anxiety including OCD, and related disorders), and for these disorders in the presence of co-morbid physical disorders (autoimmune disorders, including rheumatoid arthritis, and non-immune disorders, including type 2 diabetes, migraine, chronic pain, obesity and body-mass index). Disorder status will be determined from the UK Biobank adjudicated health outcomes, including data from primary care , hospitals, and self-report. We will also explore whether the variants associated with each psychiatric disorder predict the likelihood that an individual has a given physical disorder. Understanding how genetics influence psychiatric disorders, and the relationship between psychiatric and physical disorders, will provide much-needed insight into the underlying biology. As well as increasing our understanding of interactions between the brain and body, this may identify target systems for the development of novel treatments in psychiatry; for example, the re-purposing of anti-inflammatory drugs for the treatment of schizophrenia and depression is a promising area of ongoing research. Furthermore, identification of shared genetic risk factors could assist in diagnosis by determining whether a given patient is high or low risk. Genotype information is being produced on the UK Biobank sample. We will use this to perform genome-wide association studies using publicly-available software packages, testing thousands of DNA variants for their association with different disorders. We will compare individuals with internalising disorders to controls, as well as comparing those with both a psychiatric and a physical disorder to those with only one (to identify genetic variants associated with having both disorders).
We will also explore the genetic overlap between a given psychiatric disorder and associated physical disorders, using the results from the association studies and publicly-available software packages. Full cohort
|Lead investigator:||Dr Gerome Breen|
|Lead institution:||King's College London|
4 related Returns
|Return ID||App ID||Description||Archive Date|
|2643||16577||GWAS of Suicide Attempt in Psychiatric Disorders and Association With Major Depression Polygenic Risk Scores||29 Oct 2020|
|4006||16577||Genetic comorbidity between major depression and cardio-metabolic traits, stratified by age at onset of major depression||14 Oct 2021|
|2690||16577||Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank||30 Oct 2020|
|2663||16577||Mental health in UK Biobank - development, implementation and results from an online questionnaire completed by 157,366 participants: a reanalysis||29 Oct 2020|