Abstract
Epidemiological studies show high comorbidity between different mental health problems, indicating that individuals with a diagnosis of one disorder are more likely to develop other mental health problems. Genetic studies reveal substantial sharing of genetic factors across mental health traits. However, mental health is also genetically correlated with socio-economic status (SES), and it is therefore important to investigate and disentangle the genetic relationship between mental health and SES. We used summary statistics from large genome-wide association studies (average N ~ 160,000) to estimate the genetic overlap across nine psychiatric disorders and seven substance use traits and explored the genetic influence of three different indicators of SES. Using genomic structural equation modelling, we show significant changes in patterns of genetic correlations after partialling out SES-associated genetic variation. Our approach allows the separation of disease-specific genetic variation and genetic variation shared with SES, thereby improving our understanding of the genetic architecture of mental health.
Original language | English |
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Pages (from-to) | 1065-1073 |
Number of pages | 9 |
Journal | Nature Human Behaviour |
Volume | 5 |
Issue number | 8 |
Early online date | 8 Mar 2021 |
DOIs | |
Publication status | Published - Aug 2021 |
Keywords
- Alcohol Drinking/genetics
- Anorexia Nervosa/genetics
- Anxiety Disorders/genetics
- Attention Deficit Disorder with Hyperactivity/genetics
- Autism Spectrum Disorder/genetics
- Bipolar Disorder/genetics
- Depressive Disorder, Major/genetics
- Educational Status
- Genetic Predisposition to Disease
- Genetic Variation
- Genome-Wide Association Study
- Humans
- Income
- Latent Class Analysis
- Mental Disorders/genetics
- Mental Health
- Models, Genetic
- Obsessive-Compulsive Disorder/genetics
- Polymorphism, Single Nucleotide
- Schizophrenia/genetics
- Smoking Cessation
- Smoking/genetics
- Social Class
- Substance-Related Disorders/genetics
- Tourette Syndrome/genetics