Projects per year
Abstract
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 (rg 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 (rg < 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.
| Original language | English |
|---|---|
| Article number | 103 |
| Pages (from-to) | 1-16 |
| Number of pages | 16 |
| Journal | BMC Medicine |
| Volume | 20 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 24 Mar 2022 |
Bibliographical note
Funding Information:All authors work in a unit that receives funding from the University of Bristol and the UK Medical Research Council (MC_UU_00011/1, MC_UU_00011/5, MC_UU_00011/6). Further support was provided by the CRUK-funded Integrative Cancer Epidemiology Programme (C18281/A29019). C.P. is supported by a Wellcome Trust PhD studentship in Molecular, Genetic and Lifecourse Epidemiology (108902/B/15/Z). G.C.S. is supported by the MRC (New Investigator Research Grant, MR/S009310/1) and the European Joint Programming Initiative ‘A Healthy Diet for a Healthy Life’ (JPI HDHL, NutriPROGRAM project, UK MRC MR/S036520/1). L.D.H. is supported by Career Development Awards from the UK Medical Research Council (MR/M020894/1). R.C.R. is a de Pass Vice Chancellor’s Research Fellow at the University of Bristol.
Publisher Copyright:
© 2022, The Author(s).
Research Groups and Themes
- ICEP
Keywords
- Mendelian randomisation
- Reproductive factors
- Genetic correlation
- UK biobank
Fingerprint
Dive into the research topics of 'The relationships between women’s reproductive factors: a Mendelian randomisation analysis'. Together they form a unique fingerprint.Projects
- 1 Finished
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8074 (C18281/A29019) ICEP2 - Programme Award: Towards improved casual evidence and enhanced prediction of cancer risk and survival
Martin, R. M. (Principal Investigator)
1/10/20 → 30/09/25
Project: Research
Datasets
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Additional file 2 of The relationships between women’s reproductive factors: a Mendelian randomisation analysis
Prince, C. (Creator), Sharp, G. C. (Creator), Howe, L. D. (Creator), Fraser, A. (Creator) & Richmond, R. C. (Creator), figshare, 24 Mar 2022
DOI: 10.6084/m9.figshare.19408301.v1, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_The_relationships_between_women_s_reproductive_factors_a_Mendelian_randomisation_analysis/19408301/1
Dataset
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Additional file 1 of The relationships between women’s reproductive factors: a Mendelian randomisation analysis
Prince, C. (Creator), Sharp, G. C. (Creator), Howe, L. D. (Creator), Fraser, A. (Creator) & Richmond, R. C. (Creator), figshare, 24 Mar 2022
DOI: 10.6084/m9.figshare.19408298.v1, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_The_relationships_between_women_s_reproductive_factors_a_Mendelian_randomisation_analysis/19408298/1
Dataset