| Application: | 10279, The relationship of cognitive function and negative emotions with morbidity and mortality: an aetiological investigation |
| Title: | Association analysis in over 329,000 individuals identifies 116 independent variants influencing neuroticism |
| Size: | 4156 B |
| Archived: | 26 Feb 2021 |
| Stability: | Complete |
| Personal: | No individual-level data |
Return 3148
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Notes
We analysed the DNA of over 300,000 people from UK Biobank (aged from 39 to 73) and found many genetic variants linked to neuroticism a personality trait characterised by feelings of anxiety, worry and guilt. Our genome-wide association analysis uncovered 116 gene variations linked to neuroticism, 15 of these replicated in a large independent sample. We also found that genes associated with neuroticism had some overlap with genes linked to a susceptibility to depression and some other psychiatric conditions. The findings help shed light on the causes of depression which affects one in five people and could provide information to help better diagnosis and treatment for individuals. More than half of the genetic variations associated with neuroticism were found to be expressed in the brain.Application 10279
The relationship of cognitive function and negative emotions with morbidity and mortality: an aetiological investigation
The proposed research aims to understand why it is that poorer cognitive function and negative emotional factors are typically associated with poorer health and increased mortality. We shall use health outcome data to examine how all-cause mortality and incident cancer and cardiovascular disease (CVD)vary according to prior cognitive function and negative emotions. We shall investigate the extent to which relationships we find between cognition, emotions and these health outcomes are explained or modified by physical, biological, genetic, behavioural, and socio-demographic factors. Genetic analyses will incorporate multivariate genome-wide complex trait analysis and polygenic prediction of these relationships. Poorer cognitive function and negative emotional states and traits have been shown to increase mortality but the reasons for this are unclear. We anticipate that the proposed research will: 1) show us how mortality and morbidity from common health conditions vary according to prior cognitive abilities and emotional factors; 2) reveal potential mechanisms whereby poorer cognition and negative emotion increase risk; and 3) identify whether other characteristics can increase or reduce the risk of ill health in those with poorer cognition and negative emotions. This information could help inform intervention strategies for preventing or treating common health conditions. Using data on cognitive function and negative emotions together with data collected on health outcomes, scientists at the Centre for Cognitive Ageing and Cognitive Epidemiology will examine whether cognitive performance and emotional states predict risk of all-cause mortality and the onset of cancer and CVD. They will investigate whether other characteristics, such as lifestyle, socio-demographic, physical, behavioural or biological factors, help to explain any links between cognitive function and emotions and these health outcomes. They will estimate degree of genetic sharing between: 1) cognitive function/emotions and these characteristics, and 2) cognitive function/emotions and health outcomes. The full cohort
| Lead investigator: | Dr Michelle Luciano |
| Lead institution: | University of Edinburgh |
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1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 3144 | Association analysis in over 329,000 individuals identifies 116 independent variants influencing neuroticism | Michelle Luciano (+15) | 2017 | Nature Genetics |
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