4.7 Article

Identification of novel genome-wide associations for suicidality in UK Biobank, genetic correlation with psychiatric disorders and polygenic association with completed suicide

Journal

EBIOMEDICINE
Volume 41, Issue -, Pages 517-525

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ebiom.2019.02.005

Keywords

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Funding

  1. Welsh Assembly Government
  2. UK Biobank
  3. JMAS Sim Fellowship for depression research from the Royal College of Physicians of Edinburgh [173558]
  4. MRC Doctoral Training Programme Studentship at the University of Glasgow [MR/K501335/1]
  5. MRC Doctoral Training Programme Studentship at the University of Glasgow
  6. UKRI Innovation Fellowship [MR/R024774/1]
  7. Brain and Behavior Research Foundation [1930]
  8. Lister Prize Fellowship [173096]
  9. MRC Mental Health Data Pathfinder Award [MC_PC_17217]
  10. British Heart Foundation
  11. UKRI Innovation-HDR-UK Fellowship [MR/S003061/1]
  12. MRC Doctoral Training Programme Studentship at the University of Edinburgh
  13. MRC [MR/S003061/1, MC_PC_17217, MR/R024774/1] Funding Source: UKRI

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Background: Suicide is a major issue for global public health. Suicidality describes a broad spectrum of thoughts and behaviours, some of which are common in the general population. Although suicide results from a complex interaction of multiple social and psychological factors, predisposition to suicidality is at least partly genetic. Methods: Ordinal genome-wide association study of suicidality in the UK Biobank cohort comparing: 'no suicidality' controls (N =83,557); 'thoughts that life was not worth living' (N =21,063); 'ever contemplated self-harm' (N =13,038); 'act of deliberate self-harm in the past' (N =2498); and 'previous suicide attempt' (N=2666). Outcomes: We identified three novel genome-wide significant loci for suicidality (on chromosomes nine, 11 and 13) and moderate-to-strong genetic correlations between suicidality and a range of psychiatric disorders, most notably depression (r(g) 0.81). Interpretation: These findings provide newinformation about genetic variants relating to increased risk of suicidal thoughts and behaviours. Future work should assess the extent to which polygenic risk scores for suicidality, in combinationwith non-genetic risk factors, may be useful for stratified approaches to suicide prevention at a population level. Fund: UKRI Innovation-HDR-UK Fellowship (MR/S003061/1). MRC Mental Health Data Pathfinder Award (MC_PC_17217). MRC Doctoral Training Programme Studentship at the University of Glasgow (MR/K501335/1). MRC Doctoral Training Programme Studentship at the Universities of Glasgow and Edinburgh. UKRI Innovation Fellowship (MR/R024774/1). (c) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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