What genome-wide association studies reveal about the association between intelligence and mental health. (June 2019)
- Record Type:
- Journal Article
- Title:
- What genome-wide association studies reveal about the association between intelligence and mental health. (June 2019)
- Main Title:
- What genome-wide association studies reveal about the association between intelligence and mental health
- Authors:
- Hill, W David
Harris, Sarah E
Deary, Ian J - Abstract:
- Abstract : Intelligence, as measured by standardised tests of cognitive function, such as IQ-type tests, is predictive of psychiatric diagnosis and psychological wellbeing. Using genome-wide association study (GWAS) data, a measure of the shared genetic effect across traits, can be quantified; because this can be done across samples, the confounding effects of psychiatric diagnosis do not influence the magnitude of these relationships. It is now known that there are genetic effects that act across intelligence and psychiatric diagnoses, which provide a partial explanation for the phenotypic link between intelligence and mental health. Potential causal effects between intelligence and mental health have been identified, and the regions of the genome responsible for some of these cross trait associations have begun to be characterised.
- Is Part Of:
- Current opinion in psychology. Volume 27(2019)
- Journal:
- Current opinion in psychology
- Issue:
- Volume 27(2019)
- Issue Display:
- Volume 27, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 27
- Issue:
- 2019
- Issue Sort Value:
- 2019-0027-2019-0000
- Page Start:
- 25
- Page End:
- 30
- Publication Date:
- 2019-06
- Subjects:
- Psychology -- Periodicals
150.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/2352250X ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.copsyc.2018.07.007 ↗
- Languages:
- English
- ISSNs:
- 2352-250X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10931.xml