Familial coaggregation and shared genetic influence between major depressive disorder and gynecological diseases

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This study found familial coaggregation and shared genetic liability between major depressive disorder and dysmenorrhea, endometriosis, uterine leiomyomas, and polycystic ovary syndrome in a Taiwanese population.

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This study examined whether major depressive disorder (MDD) co-occurs with gynecological diseases (dysmenorrhea, endometriosis, uterine leiomyomas, and polycystic ovary syndrome) through familial co-aggregation and shared genetic loading, using Taiwan NHIRD data for 2,121,632 females plus twin and sibling subsets, and genome-wide data from 67,882 women with polygenic risk score (PRS) analyses. Parents and full-siblings of individuals with MDD showed increased risks of the four gynecological diseases, with maternal MDD showing stronger associations than paternal MDD, and twin associations specifically for dysmenorrhea and PCOS; additionally, MDD PRS was associated with dysmenorrhea and endometriosis. The paper’s caveat is that PRS effects are correlational and depend on available phenotyping and genetic coverage in the studied datasets. Relevance to endometriosis: it directly reports familial co-aggregation between MDD and endometriosis and finds shared polygenic liability via MDD PRS associated with endometriosis, alongside analyses for dysmenorrhea and other gynecological conditions. This paper is centrally about endometriosis — it evaluates shared genetic loading and familial co-occurrence between MDD and endometriosis.

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Abstract

The mechanism underlying the co-occurrence of major depressive disorder (MDD) and gynecological diseases remains unclear. This study aimed to investigate the familial co-aggregation and shared genetic loading between MDD and gynecological diseases, namely dysmenorrhea, endometriosis, uterine leiomyomas (UL), and polycystic ovary syndrome (PCOS). Overall, 2,121,632 females born 1970-1999 with parental information were enrolled from the Taiwan National Health Insurance Research Database (NHIRD); 25,142 same-sex twins and 951,779 persons with full-sibling(s) were selected. Genome-wide genotyping data were available for 67,882 unrelated female participants from the Taiwan Biobank linked to the NHIRD. A generalized linear model with a logistic link function was used to examine the associations of individual history, family history in parents/full-siblings/same-sex twins, and polygenic risk scores (PRS) for MDD with the risk of gynecological diseases; generalized estimating equations were used to consider the non-independence of data. Both parents affected with MDD was associated with four gynecological diseases, and its magnitude of association was higher than either affected parent; maternal MDD showed a higher magnitude of association than paternal MDD. Full-siblings of patients with MDD had a higher risk of four gynecological diseases; same-sex twins of patients with MDD had a greater association with dysmenorrhea and PCOS. PRS for MDD was associated with dysmenorrhea and endometriosis. Familial co-aggregation was observed in the co-occurrence of MDD and four gynecological diseases. There exists a shared polygenic liability between MDD and dysmenorrhea and endometriosis. Individuals with MDD-affected relatives or a higher PRS for MDD should be monitored for gynecological diseases.
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Abstract

The mechanism underlying the co-occurrence of major depressive disorder (MDD) and gynecological diseases remains unclear. This study aimed to investigate the familial co-aggregation and shared genetic loading between MDD and gynecological diseases, namely dysmenorrhea, endometriosis, uterine leiomyomas (UL), and polycystic ovary syndrome (PCOS). Overall, 2,121,632 females born 1970–1999 with parental information were enrolled from the Taiwan National Health Insurance Research Database (NHIRD); 25,142 same-sex twins and 951,779 persons with full-sibling(s) were selected. Genome-wide genotyping data were available for 67,882 unrelated female participants from the Taiwan Biobank linked to the NHIRD. A generalized linear model with a logistic link function was used to examine the associations of individual history, family history in parents/full-siblings/same-sex twins, and polygenic risk scores (PRS) for MDD with the risk of gynecological diseases; generalized estimating equations were used to consider the non-independence of data. Both parents affected with MDD was associated with four gynecological diseases, and its magnitude of association was higher than either affected parent; maternal MDD showed a higher magnitude of association than paternal MDD. Full-siblings of patients with MDD had a higher risk of four gynecological diseases; same-sex twins of patients with MDD had a greater association with dysmenorrhea and PCOS. PRS for MDD was associated with dysmenorrhea and endometriosis. Familial co-aggregation was observed in the co-occurrence of MDD and four gynecological diseases. There exists a shared polygenic liability between MDD and dysmenorrhea and endometriosis. Individuals with MDD-affected relatives or a higher PRS for MDD should be monitored for gynecological diseases. Similar content being viewed by others

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Funding This work was supported by the National Health Research Institutes (NHRI-EX109-10931PI, NHRI-EX110-10931PI, NHRI-EX111-10931PI). Author information Authors and Affiliations Contributions All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Cheng-Yun Chen, Chi-Fung Cheng, Mei‑Chen Lin, and Shi-Heng Wang. The first draft of the manuscript was written by Cheng-Yun Chen and Chi-Fung Cheng. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript. Corresponding author Ethics declarations Competing interests The authors have no relevant financial or nonfinancial interests to disclose. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Electronic supplementary material Below is the link to the electronic supplementary material. Rights and permissions Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. About this article Cite this article Chen, CY., Cheng, CF., Chen, PC. et al. Familial coaggregation and shared genetic influence between major depressive disorder and gynecological diseases. Eur J Epidemiol 39, 1161–1170 (2024). https://doi.org/10.1007/s10654-024-01166-w Received: Accepted: Published: Version of record: Issue date: DOI: https://doi.org/10.1007/s10654-024-01166-w

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Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease Genetic Predisposition to Disease

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