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Long-term outcomes of offspring from multiple gestations: a two-sample Mendelian randomization study on multi-system diseases using UK Biobank and FinnGen databases
BACKGROUND: Assisted reproductive technologies (ART) have increased the incidence of multiple births, which can have a negative impact on maternal and offspring health. The study aimed to investigate the association between genetically predicted multiple birth and the risk of 42 common diseases of t...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492369/ https://www.ncbi.nlm.nih.gov/pubmed/37684631 http://dx.doi.org/10.1186/s12967-023-04423-w |
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author | Jiang, Yi Du, Yuanyuan Su, Rui Zhou, Xuan Wei, Lijie Zhang, Jingyi Zhu, Shenglan Zhang, Huiting Fang, Chenyun Chen, Yuting Gao, Peng Zhang, Liangnan Wang, Shaoshuai Yu, Jun He, Mengzhou Ding, Wencheng Feng, Ling |
author_facet | Jiang, Yi Du, Yuanyuan Su, Rui Zhou, Xuan Wei, Lijie Zhang, Jingyi Zhu, Shenglan Zhang, Huiting Fang, Chenyun Chen, Yuting Gao, Peng Zhang, Liangnan Wang, Shaoshuai Yu, Jun He, Mengzhou Ding, Wencheng Feng, Ling |
author_sort | Jiang, Yi |
collection | PubMed |
description | BACKGROUND: Assisted reproductive technologies (ART) have increased the incidence of multiple births, which can have a negative impact on maternal and offspring health. The study aimed to investigate the association between genetically predicted multiple birth and the risk of 42 common diseases of the nervous, psychiatric, cardiovascular, respiratory, digestive, and endocrine systems. METHODS: The study utilized two-sample Mendelian randomization (MR) analysis to explore the potential causal relationship between genetically predicted multiple birth and the genetically predicted risk of diseases. The study used the FinnGen and UK Biobank datasets for analysis. RESULTS: The study found no significant causal relationship between multiple birth and psychiatric disorders. However, the lower limits of the 95% confidence intervals for bipolar affective disorder and anxiety disorders were not robust, indicating a need for further investigation. The study found that multiple birth may be a strong risk factor for infantile cerebral palsy, and caution is necessary in both natural and ART multiple births. The study revealed a potential causal relationship between multiple birth and coronary heart disease, ischemic heart disease, and deep vein thrombosis, which may be related to abnormal intrauterine environments in multiple pregnancies. Surprisingly, multiple birth appears to have a protective effect against some respiratory diseases, such as chronic obstructive pulmonary disease and asthma. CONCLUSIONS: The study highlights the need for caution regarding the risk of infantile cerebral palsy, cardiovascular diseases, and psychiatric disorders in multiple birth. Our study can lead to the development of preventive strategies and improved clinical management for affected infants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04423-w. |
format | Online Article Text |
id | pubmed-10492369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104923692023-09-10 Long-term outcomes of offspring from multiple gestations: a two-sample Mendelian randomization study on multi-system diseases using UK Biobank and FinnGen databases Jiang, Yi Du, Yuanyuan Su, Rui Zhou, Xuan Wei, Lijie Zhang, Jingyi Zhu, Shenglan Zhang, Huiting Fang, Chenyun Chen, Yuting Gao, Peng Zhang, Liangnan Wang, Shaoshuai Yu, Jun He, Mengzhou Ding, Wencheng Feng, Ling J Transl Med Research BACKGROUND: Assisted reproductive technologies (ART) have increased the incidence of multiple births, which can have a negative impact on maternal and offspring health. The study aimed to investigate the association between genetically predicted multiple birth and the risk of 42 common diseases of the nervous, psychiatric, cardiovascular, respiratory, digestive, and endocrine systems. METHODS: The study utilized two-sample Mendelian randomization (MR) analysis to explore the potential causal relationship between genetically predicted multiple birth and the genetically predicted risk of diseases. The study used the FinnGen and UK Biobank datasets for analysis. RESULTS: The study found no significant causal relationship between multiple birth and psychiatric disorders. However, the lower limits of the 95% confidence intervals for bipolar affective disorder and anxiety disorders were not robust, indicating a need for further investigation. The study found that multiple birth may be a strong risk factor for infantile cerebral palsy, and caution is necessary in both natural and ART multiple births. The study revealed a potential causal relationship between multiple birth and coronary heart disease, ischemic heart disease, and deep vein thrombosis, which may be related to abnormal intrauterine environments in multiple pregnancies. Surprisingly, multiple birth appears to have a protective effect against some respiratory diseases, such as chronic obstructive pulmonary disease and asthma. CONCLUSIONS: The study highlights the need for caution regarding the risk of infantile cerebral palsy, cardiovascular diseases, and psychiatric disorders in multiple birth. Our study can lead to the development of preventive strategies and improved clinical management for affected infants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04423-w. BioMed Central 2023-09-08 /pmc/articles/PMC10492369/ /pubmed/37684631 http://dx.doi.org/10.1186/s12967-023-04423-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access 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 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Jiang, Yi Du, Yuanyuan Su, Rui Zhou, Xuan Wei, Lijie Zhang, Jingyi Zhu, Shenglan Zhang, Huiting Fang, Chenyun Chen, Yuting Gao, Peng Zhang, Liangnan Wang, Shaoshuai Yu, Jun He, Mengzhou Ding, Wencheng Feng, Ling Long-term outcomes of offspring from multiple gestations: a two-sample Mendelian randomization study on multi-system diseases using UK Biobank and FinnGen databases |
title | Long-term outcomes of offspring from multiple gestations: a two-sample Mendelian randomization study on multi-system diseases using UK Biobank and FinnGen databases |
title_full | Long-term outcomes of offspring from multiple gestations: a two-sample Mendelian randomization study on multi-system diseases using UK Biobank and FinnGen databases |
title_fullStr | Long-term outcomes of offspring from multiple gestations: a two-sample Mendelian randomization study on multi-system diseases using UK Biobank and FinnGen databases |
title_full_unstemmed | Long-term outcomes of offspring from multiple gestations: a two-sample Mendelian randomization study on multi-system diseases using UK Biobank and FinnGen databases |
title_short | Long-term outcomes of offspring from multiple gestations: a two-sample Mendelian randomization study on multi-system diseases using UK Biobank and FinnGen databases |
title_sort | long-term outcomes of offspring from multiple gestations: a two-sample mendelian randomization study on multi-system diseases using uk biobank and finngen databases |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492369/ https://www.ncbi.nlm.nih.gov/pubmed/37684631 http://dx.doi.org/10.1186/s12967-023-04423-w |
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