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Dissecting the shared genetic architecture between anti-Müllerian hormone and age at menopause based on genome-wide association study - 20/11/24

Doi : 10.1016/j.ajog.2024.06.050 
Panpan Long, PhD a, Hangjing Tan, PhD a, Binbin Chen, MSc b, Le Wang, PhD a, c, Ruping Quan, PhD a, Zihao Hu, PhD a, Minghua Zeng, PhD b, Jonathan Greenbaum, PhD d, Hui Shen, PhD d, Hongwen Deng, PhD d, Hongmei Xiao, PhD a,
a Institute of Reproductive & Stem Cell Engineering, Center of Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China 
b Center of Genetics, Changsha Jiangwan Maternity Hospital, Changsha City, Hunan, China 
c Biomedical Research Center, Hunan University of Medicine, Huaihua City, Hunan, China 
d Deming Department of Medicine, Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, New Orleans, LA 

Corresponding author: Hongmei Xiao, PhD.

Abstract

Background

While the phenotypic association between anti-Müllerian hormoneand age at menopause has been widely studied, the role of anti-Müllerian hormone in predicting the age at menopause is currently controversial, and the genetic architecture or causal relationships underlying these 2 traits is not well understood.

Aim

We aimed to explore the shared genetic architecture between anti-Müllerian hormone and age at menopause, to identify shared pleiotropic loci and genes, and to investigate causal association and potential causal mediators.

Study Design

Using summary statistics from publicly available genome-wide association studies on anti-Müllerian hormone (N=7049) and age at menopause (N=201,323) in Europeans, we investigated the global genetic architecture between anti-Müllerian hormone and age at menopause through linkage disequilibrium score regression. We employed pleiotropic analysis under composite null hypothesis, Functional Mapping and Annotation of Genetic Associations, multimarker analysis of GenoMic annotation, and colocalization analysis to identify loci and genes with pleiotropic effects. Tissue enrichment analysis based on Genotype-Tissue Expression data was conducted using the Linkage Disequilibrium Score for the specific expression of genes analysis. Functional genes that were shared were additionally identified through summary data-based Mendelian randomization. The relationship between anti-Müllerian hormone and age at menopause was examined through 2-sample Mendelian randomization, and potential mediators were further explored using colocalization and metabolite-mediated analysis.

Results

A positive genetic association (correlation coefficient=0.88, P=1.33×10−5) was observed between anti-Müllerian hormone and age at menopause. By using pleiotropic analysis under composite null hypothesis and Functional Mapping and Annotation of Genetic Associations, 42 significant pleiotropic loci were identified that were associated with anti-Müllerian hormone and age at menopause, and 10 of these (rs10734411, rs61913600, rs2277339, rs75770066, rs28416520, rs9796, rs11668344, rs403727, rs6011452, and rs62237617) had colocalized loci. Additionally, 245 significant pleiotropic genes were identified by multimarker analysis of GenoMic annotation. Genetic associations between anti-Müllerian hormone and age at menopause were markedly concentrated in various tissues including whole blood, brain, heart, liver, muscle, pancreas, and kidneys. Further, summary data-based Mendelian randomization analysis revealed 9 genes that may have a causative effect on both anti-Müllerian hormone and age at menopause. A potential causal effect of age at menopause on anti-Müllerian hormone was suggested by 2-sample Mendelian randomization analysis, with very-low-density lipoprotein identified as a potential mediator.

Conclusion

Our study revealed a shared genetic architecture between anti-Müllerian hormone and age at menopause, providing a basis for experimental investigations and individual therapies to enhance reproductive outcomes. Furthermore, our findings emphasized that relying solely on anti-Müllerian hormone is not sufficient for accurately predicting the age at menopause, and a combination of other factors needs to be considered. Exploring new therapeutics aimed at delaying at the onset of menopause holds promise, particularly when targeting shared genes based on their shared genetic architecture.

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Key words : age at menopause, anti-Müllerian hormone, genetic architecture, genome-wide association study


Plan


 Panpan Long and Hangjing Tan contributed equally to this study and share first authorship.
 The authors report no conflict of interest.
 This work was supported by National Key R&D Program of China (2017YFC1001100).
 Cite this article as: Long P, Tan H, Chen B, et al. Dissecting the shared genetic architecture between anti-Müllerian hormone and age at menopause based on genome-wide association study. Am J Obstet Gynecol 2024;231:634.e1-11.


© 2024  The Author(s). Publié par Elsevier Masson SAS. Tous droits réservés.
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Vol 231 - N° 6

P. 634.e1-634.e11 - décembre 2024 Retour au numéro
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