The Association of Genetic Predisposition to Depressive Symptoms with Non-suicidal and Suicidal Self-Injuries

Dominique F Maciejewski; Miguel E Renteria; Abdel Abdellaoui; Sarah E Medland; Lauren R Few; Scott D Gordon; Pamela A F Madden; Grant Montgomery; Timothy J Trull; Andrew C Heath; Dixie J Statham; Nicholas G Martin; Brendan P Zietsch; Karin J H Verweij

doi:10.1007/s10519-016-9809-z

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The Association of Genetic Predisposition to Depressive Symptoms with Non-suicidal and Suicidal Self-Injuries

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The Association of Genetic Predisposition to Depressive Symptoms with Non-suicidal and Suicidal Self-Injuries

Dominique F Maciejewski, Miguel E Renteria, Abdel Abdellaoui, Sarah E Medland, Lauren R Few, Scott D Gordon, Pamela A F Madden, Grant Montgomery, Timothy J Trull, Andrew C Heath, …

Behavior Genetics, Vol.47(1), pp.3-10

2017

DOI: https://doi.org/10.1007/s10519-016-9809-z

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Abstract

depression

suicidal ideation

suicide attempts

self-injury

polygenic risk

genetics

Non-suicidal and suicidal self-injury are very destructive, yet surprisingly common behaviours. Depressed mood is a major risk factor for non-suicidal self-injury (NSSI), suicidal ideation and suicide attempts. We conducted a genetic risk prediction study to examine the polygenic overlap of depressive symptoms with lifetime NSSI, suicidal ideation, and suicide attempts in a sample of 6237 Australian adult twins and their family members (3740 females, mean age = 42.4 years). Polygenic risk scores for depressive symptoms significantly predicted suicidal ideation, and some predictive ability was found for suicide attempts; the polygenic risk scores explained a significant amount of variance in suicidal ideation (lowest p = 0.008, explained variance ranging from 0.10 to 0.16 %) and, less consistently, in suicide attempts (lowest p = 0.04, explained variance ranging from 0.12 to 0.23 %). Polygenic risk scores did not significantly predict NSSI. Results highlight that individuals genetically predisposed to depression are also more likely to experience suicidal ideation/behaviour, whereas we found no evidence that this is also the case for NSSI.

Details

Title: The Association of Genetic Predisposition to Depressive Symptoms with Non-suicidal and Suicidal Self-Injuries
Authors: Dominique F Maciejewski (Author) - Vrije Universiteit Amsterdam, Netherlands
Miguel E Renteria (Author) - QIMR Berghofer Medical Research Institute
Abdel Abdellaoui (Author) - Vrije Universiteit Amsterdam, Netherlands
Sarah E Medland (Author) - QIMR Berghofer Medical Research Institute
Lauren R Few (Author) - Washington University School of Medicine, United States
Scott D Gordon (Author) - QIMR Berghofer Medical Research Institute
Pamela A F Madden (Author) - Washington University School of Medicine, United States
Grant Montgomery (Author) - QIMR Berghofer Medical Research Institute
Timothy J Trull (Author) - University of Missouri, United States
Andrew C Heath (Author) - Washington University School of Medicine, United States
Dixie J Statham (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
Nicholas G Martin (Author) - QIMR Berghofer Medical Research Institute
Brendan P Zietsch (Author) - QIMR Berghofer Medical Research Institute
Karin J H Verweij (Author) - Vrije Universiteit Amsterdam, Netherlands
Publication details: Behavior Genetics, Vol.47(1), pp.3-10
Publisher: Springer New York LLC
Date published: 2017
DOI: 10.1007/s10519-016-9809-z
ISSN: 0001-8244
Copyright note: Copyright © 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Organisation Unit: School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99451307202621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Behavioral Sciences; Genetics & Heredity; Psychology, Multidisciplinary

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