Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/122535
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Type: | Journal article |
Title: | The genetic relationship between female reproductive traits and six psychiatric disorders |
Author: | Ni, G. Amare, A.T. Zhou, X. Mills, N. Gratten, J. Lee, S.H. |
Citation: | Scientific Reports, 2019; 9(1):12041-1-12041-12 |
Publisher: | Springer Nature |
Issue Date: | 2019 |
ISSN: | 2045-2322 2045-2322 |
Statement of Responsibility: | Guiyan Ni, Azmeraw T. Amare, Xuan Zhou, Natalie Mills, Jacob Gratten, S. Hong Lee |
Abstract: | Female reproductive behaviours have important implications for evolutionary fitness and health of offspring. Here we used the second release of UK Biobank data (N = 220,685) to evaluate the association between five female reproductive traits and polygenic risk scores (PRS) projected from genome-wide association study summary statistics of six psychiatric disorders (N = 429,178). We found that the PRS of attention-deficit/hyperactivity disorder (ADHD) were strongly associated with age at first birth (AFB) (genetic correlation of -0.68 ± 0.03), age at first sexual intercourse (AFS) (-0.56 ± 0.03), number of live births (NLB) (0.36 ± 0.04) and age at menopause (-0.27 ± 0.04). There were also robustly significant associations between the PRS of eating disorder (ED) and AFB (0.35 ± 0.06), ED and AFS (0.19 ± 0.06), major depressive disorder (MDD) and AFB (-0.27 ± 0.07), MDD and AFS (-0.27 ± 0.03) and schizophrenia and AFS (-0.10 ± 0.03). These associations were mostly explained by pleiotropic effects and there was little evidence of causal relationships. Our findings can potentially help improve reproductive health in women, hence better child outcomes. Our findings also lend partial support to the evolutionary hypothesis that causal mutations underlying psychiatric disorders have positive effects on reproductive success. |
Keywords: | Humans Genetic Predisposition to Disease Risk Factors Mental Disorders Reproduction Multifactorial Inheritance Quantitative Trait, Heritable Databases, Genetic Adolescent Adult Aged Middle Aged Female Male Young Adult Genetic Association Studies |
Rights: | © The Author(s) 2019. This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
DOI: | 10.1038/s41598-019-48403-x |
Grant ID: | http://purl.org/au-research/grants/nhmrc/1080157 http://purl.org/au-research/grants/nhmrc/1087889 http://purl.org/au-research/grants/nhmrc/DP160102126 http://purl.org/au-research/grants/nhmrc/DP190100766 http://purl.org/au-research/grants/nhmrc/FT160100229 |
Published version: | http://dx.doi.org/10.1038/s41598-019-48403-x |
Appears in Collections: | Aurora harvest 4 Medicine publications |
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File | Description | Size | Format | |
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hdl_122535.pdf | Published version | 2.23 MB | Adobe PDF | View/Open |
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