Cargando…

Investigating the causal risk factors for self-harm by integrating Mendelian randomisation within twin modelling

Previous genetically informed studies have uncovered likely causal relationships between mental health problems and self-harm but resulting causal estimates may be biased due to unmediated pleiotropy. By fitting Mendelian Randomization - Direction of Causation (MR-DoC) models that explicitly model p...

Descripción completa

Detalles Bibliográficos
Autores principales: Lim, Kai Xiang, Oginni, Olakunle Ayokunmi, Rimfeld, Kaili, Pingault, Jean-Baptiste, Rijsdijk, Frühling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646538/
https://www.ncbi.nlm.nih.gov/pubmed/36103101
http://dx.doi.org/10.1007/s10519-022-10114-x
_version_ 1784827188278722560
author Lim, Kai Xiang
Oginni, Olakunle Ayokunmi
Rimfeld, Kaili
Pingault, Jean-Baptiste
Rijsdijk, Frühling
author_facet Lim, Kai Xiang
Oginni, Olakunle Ayokunmi
Rimfeld, Kaili
Pingault, Jean-Baptiste
Rijsdijk, Frühling
author_sort Lim, Kai Xiang
collection PubMed
description Previous genetically informed studies have uncovered likely causal relationships between mental health problems and self-harm but resulting causal estimates may be biased due to unmediated pleiotropy. By fitting Mendelian Randomization - Direction of Causation (MR-DoC) models that explicitly model pleiotropy, we investigated the effect of four quantitatively measured mental health problems - major depressive disorder (MDD), schizophrenia, attention-deficit hyperactivity disorder (ADHD), and insomnia, on non-suicidal self-harm (NSSH) and suicidal self-harm (SSH), separately. We used data of 12,723 twins (56.6% females) in the Twins Early Development Study. Besides substantial pleiotropy, we found effects from child-rated depressive symptoms to both NSSH (β = 0.194, 95% CIs: 0.131, 0.257) and SSH (β = 0.210, 95% CIs: 0.125, 0.295). Similarly, effects flowed from parent-rated depressive symptoms to NSSH (β = 0.092, 95% CIs: 0.004, 0.181) and SSH (β = 0.165, 95% CIs: 0.051, 0.281). We did not find evidence of aetiological difference between NSSH and SSH. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10519-022-10114-x.
format Online
Article
Text
id pubmed-9646538
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-96465382022-11-15 Investigating the causal risk factors for self-harm by integrating Mendelian randomisation within twin modelling Lim, Kai Xiang Oginni, Olakunle Ayokunmi Rimfeld, Kaili Pingault, Jean-Baptiste Rijsdijk, Frühling Behav Genet Original Research Previous genetically informed studies have uncovered likely causal relationships between mental health problems and self-harm but resulting causal estimates may be biased due to unmediated pleiotropy. By fitting Mendelian Randomization - Direction of Causation (MR-DoC) models that explicitly model pleiotropy, we investigated the effect of four quantitatively measured mental health problems - major depressive disorder (MDD), schizophrenia, attention-deficit hyperactivity disorder (ADHD), and insomnia, on non-suicidal self-harm (NSSH) and suicidal self-harm (SSH), separately. We used data of 12,723 twins (56.6% females) in the Twins Early Development Study. Besides substantial pleiotropy, we found effects from child-rated depressive symptoms to both NSSH (β = 0.194, 95% CIs: 0.131, 0.257) and SSH (β = 0.210, 95% CIs: 0.125, 0.295). Similarly, effects flowed from parent-rated depressive symptoms to NSSH (β = 0.092, 95% CIs: 0.004, 0.181) and SSH (β = 0.165, 95% CIs: 0.051, 0.281). We did not find evidence of aetiological difference between NSSH and SSH. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10519-022-10114-x. Springer US 2022-09-14 2022 /pmc/articles/PMC9646538/ /pubmed/36103101 http://dx.doi.org/10.1007/s10519-022-10114-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Lim, Kai Xiang
Oginni, Olakunle Ayokunmi
Rimfeld, Kaili
Pingault, Jean-Baptiste
Rijsdijk, Frühling
Investigating the causal risk factors for self-harm by integrating Mendelian randomisation within twin modelling
title Investigating the causal risk factors for self-harm by integrating Mendelian randomisation within twin modelling
title_full Investigating the causal risk factors for self-harm by integrating Mendelian randomisation within twin modelling
title_fullStr Investigating the causal risk factors for self-harm by integrating Mendelian randomisation within twin modelling
title_full_unstemmed Investigating the causal risk factors for self-harm by integrating Mendelian randomisation within twin modelling
title_short Investigating the causal risk factors for self-harm by integrating Mendelian randomisation within twin modelling
title_sort investigating the causal risk factors for self-harm by integrating mendelian randomisation within twin modelling
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646538/
https://www.ncbi.nlm.nih.gov/pubmed/36103101
http://dx.doi.org/10.1007/s10519-022-10114-x
work_keys_str_mv AT limkaixiang investigatingthecausalriskfactorsforselfharmbyintegratingmendelianrandomisationwithintwinmodelling
AT oginniolakunleayokunmi investigatingthecausalriskfactorsforselfharmbyintegratingmendelianrandomisationwithintwinmodelling
AT rimfeldkaili investigatingthecausalriskfactorsforselfharmbyintegratingmendelianrandomisationwithintwinmodelling
AT pingaultjeanbaptiste investigatingthecausalriskfactorsforselfharmbyintegratingmendelianrandomisationwithintwinmodelling
AT rijsdijkfruhling investigatingthecausalriskfactorsforselfharmbyintegratingmendelianrandomisationwithintwinmodelling