Evidence map›Paper›PMID 38969199›Full record

ArticleAmerican journal of obstetrics and gynecology2024

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

Panpan Long, Hangjing Tan, Binbin Chen, Le Wang, Ruping Quan, Zihao Hu, Minghua Zeng, Jonathan Greenbaum, Hui Shen, Hongwen Deng and 1 more

Abstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Panpan LongInstitute of Reproductive & Stem Cell Engineering, Center of Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.
Hangjing TanInstitute of Reproductive & Stem Cell Engineering, Center of Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.
Binbin ChenCenter of Genetics, Changsha Jiangwan Maternity Hospital, Changsha City, Hunan, China.
Le WangInstitute of Reproductive & Stem Cell Engineering, Center of Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China; Biomedical Research Center, Hunan University of Medicine, Huaihua City, Hunan, China.
Ruping QuanInstitute of Reproductive & Stem Cell Engineering, Center of Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.
Zihao HuInstitute of Reproductive & Stem Cell Engineering, Center of Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.
Minghua ZengCenter of Genetics, Changsha Jiangwan Maternity Hospital, Changsha City, Hunan, China.
Jonathan GreenbaumDeming Department of Medicine, Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, New Orleans, LA.
Hui ShenDeming Department of Medicine, Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, New Orleans, LA.
Hongwen DengDeming Department of Medicine, Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, New Orleans, LA.
Hongmei XiaoInstitute of Reproductive & Stem Cell Engineering, Center of Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China. Electronic address: hmxiao@csu.edu.cn.

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Katherine Teresa Mills · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI Chuan Qiu · 2017 to 2026
$24.3M
Intensive Lifestyle Intervention, Metabolomics, and Risk of Frailty Fracture in Overweight or Obese Patients with Type 2 DiabetesR01AG068232 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI JOHNSON, KAREN C, ZHAO, QI · 2021 to 2025
$3.1M
Identification of Metabolomic Profiles for Sarcopenia Traits in Older Whites and BlacksR01AG061917 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SHEN, HUI, ZHAO, QI · 2019 to 2023
$3.0M
NIA NIH HHS R01 AG061917NIA NIH HHS R01 AG068232NIA NIH HHS U19 AG055373NIGMS NIH HHS P20 GM109036
6 · The paper itself

Abstract

backgroundWhile 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.

aimWe 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

designUsing 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.

resultsA positive genetic association (correlation coefficient=0.88, P=1.33×10

conclusionOur 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.

Indexed as

Anti-Mullerian HormoneGenome-Wide Association StudyLinkage DisequilibriumMenopausePolymorphism, Single NucleotideAge FactorsFemaleGenetic PleiotropyHumansMendelian Randomization AnalysisMiddle AgedAnti-Mullerian Hormoneage at menopauseanti-Müllerian hormonegenetic architecturegenome-wide association study

Identifiers

PMID38969199
PMCPMC12038692

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.