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...
Autores principales: | , , , , |
---|---|
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 |