Projects per year
Abstract / Description of output
Self-reported tiredness and low energy, often called fatigue, are associated with poorer physical and mental health. Twin studies have indicated that this has a heritability between 6 and 50%. In the UK Biobank sample (N=108 976), we carried out a genome-wide association study (GWAS) of responses to the question, 'Over the last two weeks, how often have you felt tired or had little energy?' Univariate GCTA-GREML found that the proportion of variance explained by all common single-nucleotide polymorphisms for this tiredness question was 8.4% (s.e.=0.6%). GWAS identified one genome-wide significant hit (Affymetrix id 1:64178756_C_T; P=1.36 × 10(-11)). Linkage disequilibrium score regression and polygenic profile score analyses were used to test for shared genetic aetiology between tiredness and up to 29 physical and mental health traits from GWAS consortia. Significant genetic correlations were identified between tiredness and body mass index (BMI), C-reactive protein, high-density lipoprotein (HDL) cholesterol, forced expiratory volume, grip strength, HbA1c, longevity, obesity, self-rated health, smoking status, triglycerides, type 2 diabetes, waist-hip ratio, attention deficit hyperactivity disorder, bipolar disorder, major depressive disorder, neuroticism, schizophrenia and verbal-numerical reasoning (absolute rg effect sizes between 0.02 and 0.78). Significant associations were identified between tiredness phenotypic scores and polygenic profile scores for BMI, HDL cholesterol, low-density lipoprotein cholesterol, coronary artery disease, C-reactive protein, HbA1c, height, obesity, smoking status, triglycerides, type 2 diabetes, waist-hip ratio, childhood cognitive ability, neuroticism, bipolar disorder, major depressive disorder and schizophrenia (standardised β's had absolute values<0.03). These results suggest that tiredness is a partly heritable, heterogeneous and complex phenomenon that is phenotypically and genetically associated with affective, cognitive, personality and physiological processes.Molecular Psychiatry advance online publication, 14 February 2017; doi:10.1038/mp.2017.5.
Original language | English |
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Pages (from-to) | 609-620 |
Journal | Molecular Psychiatry |
Volume | 23 |
Early online date | 14 Feb 2017 |
DOIs | |
Publication status | Published - 2018 |
Fingerprint
Dive into the research topics of 'Genetic contributions to self-reported tiredness'. Together they form a unique fingerprint.Projects
- 1 Finished
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RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.
Deary, I., Gale, C., Holmes, M., Logie, P., Maclullich, A., Porteous, D., Seckl, J., Starr, J., Wardlaw, J. & Okely, J.
1/09/13 → 31/08/19
Project: Research
Research output
- 1 Article
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Corrigendum: Genetic contributions to self-reported tiredness
Deary, V., Hagenaars, S. P., Harris, S. E., Hill, W. D., Davies, G., Liewald, D. C. M., McIntosh, A. M., Gale, C. R. & Deary, I. J., 21 Mar 2017, In: Molecular Psychiatry.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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Data supporting Deary & Hagenaars et al. Genetic contributions to self-reported tiredness
Deary, I. (Creator), Gale, C. (Creator), Hill, D. (Creator), Harris, S. (Creator), Deary, V. (Creator), Hagenaars, S. (Creator), Davies, G. (Creator), Liewald, D. (Creator) & McIntosh, A. (Creator), Edinburgh DataShare, 4 Jun 2019
DOI: 10.7488/ds/2563
Dataset