Cargando…

The relationships between women’s reproductive factors: a Mendelian randomisation analysis

BACKGROUND: Women’s reproductive factors include their age at menarche and menopause, the age at which they start and stop having children and the number of children they have. Studies that have linked these factors with disease risk have largely investigated individual reproductive factors and have...

Descripción completa

Detalles Bibliográficos
Autores principales: Prince, Claire, Sharp, Gemma C., Howe, Laura D., Fraser, Abigail, Richmond, Rebecca C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944090/
https://www.ncbi.nlm.nih.gov/pubmed/35321746
http://dx.doi.org/10.1186/s12916-022-02293-5
_version_ 1784673648232103936
author Prince, Claire
Sharp, Gemma C.
Howe, Laura D.
Fraser, Abigail
Richmond, Rebecca C.
author_facet Prince, Claire
Sharp, Gemma C.
Howe, Laura D.
Fraser, Abigail
Richmond, Rebecca C.
author_sort Prince, Claire
collection PubMed
description BACKGROUND: Women’s reproductive factors include their age at menarche and menopause, the age at which they start and stop having children and the number of children they have. Studies that have linked these factors with disease risk have largely investigated individual reproductive factors and have not considered the genetic correlation and total interplay that may occur between them. This study aimed to investigate the nature of the relationships between eight female reproductive factors. METHODS: We used data from the UK Biobank and genetic consortia with data available for the following reproductive factors: age at menarche, age at menopause, age at first birth, age at last birth, number of births, being parous, age first had sexual intercourse and lifetime number of sexual partners. Linkage disequilibrium score regression (LDSC) was performed to investigate the genetic correlation between reproductive factors. We then applied Mendelian randomisation (MR) methods to estimate the causal relationships between these factors. Sensitivity analyses were used to investigate directionality of the effects, test for evidence of pleiotropy and account for sample overlap. RESULTS: LDSC indicated that most reproductive factors are genetically correlated (r(g) range: |0.06–0.94|), though there was little evidence for genetic correlations between lifetime number of sexual partners and age at last birth, number of births and ever being parous (r(g) < 0.01). MR revealed potential causal relationships between many reproductive factors, including later age at menarche (1 SD increase) leading to a later age at first sexual intercourse (beta (B) = 0.09 SD, 95% confidence intervals (CI) = 0.06,0.11), age at first birth (B = 0.07 SD, CI = 0.04,0.10), age at last birth (B = 0.06 SD, CI = 0.04,0.09) and age at menopause (B = 0.06 SD, CI = 0.03,0.10). Later age at first birth was found to lead to a later age at menopause (B = 0.21 SD, CI = 0.13,0.29), age at last birth (B = 0.72 SD, CI = 0.67, 0.77) and a lower number of births (B = −0.38 SD, CI = −0.44, −0.32). CONCLUSION: This study presents evidence that women’s reproductive factors are genetically correlated and causally related. Future studies examining the health sequelae of reproductive factors should consider a woman’s entire reproductive history, including the causal interplay between reproductive factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02293-5.
format Online
Article
Text
id pubmed-8944090
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-89440902022-03-25 The relationships between women’s reproductive factors: a Mendelian randomisation analysis Prince, Claire Sharp, Gemma C. Howe, Laura D. Fraser, Abigail Richmond, Rebecca C. BMC Med Research Article BACKGROUND: Women’s reproductive factors include their age at menarche and menopause, the age at which they start and stop having children and the number of children they have. Studies that have linked these factors with disease risk have largely investigated individual reproductive factors and have not considered the genetic correlation and total interplay that may occur between them. This study aimed to investigate the nature of the relationships between eight female reproductive factors. METHODS: We used data from the UK Biobank and genetic consortia with data available for the following reproductive factors: age at menarche, age at menopause, age at first birth, age at last birth, number of births, being parous, age first had sexual intercourse and lifetime number of sexual partners. Linkage disequilibrium score regression (LDSC) was performed to investigate the genetic correlation between reproductive factors. We then applied Mendelian randomisation (MR) methods to estimate the causal relationships between these factors. Sensitivity analyses were used to investigate directionality of the effects, test for evidence of pleiotropy and account for sample overlap. RESULTS: LDSC indicated that most reproductive factors are genetically correlated (r(g) range: |0.06–0.94|), though there was little evidence for genetic correlations between lifetime number of sexual partners and age at last birth, number of births and ever being parous (r(g) < 0.01). MR revealed potential causal relationships between many reproductive factors, including later age at menarche (1 SD increase) leading to a later age at first sexual intercourse (beta (B) = 0.09 SD, 95% confidence intervals (CI) = 0.06,0.11), age at first birth (B = 0.07 SD, CI = 0.04,0.10), age at last birth (B = 0.06 SD, CI = 0.04,0.09) and age at menopause (B = 0.06 SD, CI = 0.03,0.10). Later age at first birth was found to lead to a later age at menopause (B = 0.21 SD, CI = 0.13,0.29), age at last birth (B = 0.72 SD, CI = 0.67, 0.77) and a lower number of births (B = −0.38 SD, CI = −0.44, −0.32). CONCLUSION: This study presents evidence that women’s reproductive factors are genetically correlated and causally related. Future studies examining the health sequelae of reproductive factors should consider a woman’s entire reproductive history, including the causal interplay between reproductive factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02293-5. BioMed Central 2022-03-24 /pmc/articles/PMC8944090/ /pubmed/35321746 http://dx.doi.org/10.1186/s12916-022-02293-5 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/) . 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 Article
Prince, Claire
Sharp, Gemma C.
Howe, Laura D.
Fraser, Abigail
Richmond, Rebecca C.
The relationships between women’s reproductive factors: a Mendelian randomisation analysis
title The relationships between women’s reproductive factors: a Mendelian randomisation analysis
title_full The relationships between women’s reproductive factors: a Mendelian randomisation analysis
title_fullStr The relationships between women’s reproductive factors: a Mendelian randomisation analysis
title_full_unstemmed The relationships between women’s reproductive factors: a Mendelian randomisation analysis
title_short The relationships between women’s reproductive factors: a Mendelian randomisation analysis
title_sort relationships between women’s reproductive factors: a mendelian randomisation analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944090/
https://www.ncbi.nlm.nih.gov/pubmed/35321746
http://dx.doi.org/10.1186/s12916-022-02293-5
work_keys_str_mv AT princeclaire therelationshipsbetweenwomensreproductivefactorsamendelianrandomisationanalysis
AT sharpgemmac therelationshipsbetweenwomensreproductivefactorsamendelianrandomisationanalysis
AT howelaurad therelationshipsbetweenwomensreproductivefactorsamendelianrandomisationanalysis
AT fraserabigail therelationshipsbetweenwomensreproductivefactorsamendelianrandomisationanalysis
AT richmondrebeccac therelationshipsbetweenwomensreproductivefactorsamendelianrandomisationanalysis
AT princeclaire relationshipsbetweenwomensreproductivefactorsamendelianrandomisationanalysis
AT sharpgemmac relationshipsbetweenwomensreproductivefactorsamendelianrandomisationanalysis
AT howelaurad relationshipsbetweenwomensreproductivefactorsamendelianrandomisationanalysis
AT fraserabigail relationshipsbetweenwomensreproductivefactorsamendelianrandomisationanalysis
AT richmondrebeccac relationshipsbetweenwomensreproductivefactorsamendelianrandomisationanalysis