4.8 Article

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

期刊

BMC MEDICINE
卷 20, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12916-022-02293-5

关键词

Mendelian randomisation; Reproductive factors; Genetic correlation; UK biobank

资金

  1. University of Bristol
  2. UK Medical Research Council [MC_UU_00011/1, MC_UU_00011/5, MC_UU_00011/6, MR/M020894/1]
  3. CRUK [C18281/A29019]
  4. Wellcome Trust [108902/B/15/Z]
  5. MRC [MR/S009310/1]
  6. European Joint Programming Initiative 'A Healthy Diet for a Healthy Life' (JPI HDHL, NutriPROGRAM project, UK MRC) [MR/S036520/1]
  7. Wellcome Trust [108902/B/15/Z] Funding Source: Wellcome Trust
  8. MRC [MR/S009310/1] Funding Source: UKRI

向作者/读者索取更多资源

This study explores the genetic correlation and causal relationships between various female reproductive factors. The findings suggest that women's reproductive factors are genetically correlated and have causal effects on each other. Future research should take into account a woman's entire reproductive history and the causal interplay between reproductive factors.
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.

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