The effects of coagulation factors on the risk of endometriosis: a Mendelian randomization study

35Citations
Citations of this article
44Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Endometriosis is recognized as a complex gynecological disorder that can cause severe pain and infertility, affecting 6–10% of all reproductive-aged women. Endometriosis is a condition in which endometrial tissue, which normally lines the inside of the uterus, deposits in other tissues. The etiology and pathogenesis of endometriosis remain ambiguous. Despite debates, it is generally agreed that endometriosis is a chronic inflammatory disease, and patients with endometriosis appear to be in a hypercoagulable state. The coagulation system plays important roles in hemostasis and inflammatory responses. Therefore, the purpose of this study is to use publicly available GWAS summary statistics to examine the causal relationship between coagulation factors and the risk of endometriosis. Methods: To investigate the causal relationship between coagulation factors and the risk of endometriosis, a two-sample Mendelian randomization (MR) analytic framework was used. A series of quality control procedures were followed in order to select eligible instrumental variables that were strongly associated with the exposures (vWF, ADAMTS13, aPTT, FVIII, FXI, FVII, FX, ETP, PAI-1, protein C, and plasmin). Two independent cohorts of European ancestry with endometriosis GWAS summary statistics were used: UK Biobank (4354 cases and 217,500 controls) and FinnGen (8288 cases and 68,969 controls). We conducted MR analyses separately in the UK Biobank and FinnGen, followed by a meta-analysis. The Cochran’s Q test, MR-Egger intercept test, and leave-one-out sensitivity analyses were used to assess the heterogeneities, horizontal pleiotropy, and stabilities of SNPs in endometriosis. Results: Our two-sample MR analysis of 11 coagulation factors in the UK Biobank suggested a reliable causal effect of genetically predicted plasma ADAMTS13 level on decreased endometriosis risk. A negative causal effect of ADAMTS13 and a positive causal effect of vWF on endometriosis were observed in the FinnGen. In the meta-analysis, the causal associations remained significant with a strong effect size. The MR analyses also identified potential causal effects of ADAMTS13 and vWF on different sub-phenotypes of endometrioses. Conclusions: Our MR analysis based on GWAS data from large-scale population studies demonstrated the causal associations between ADAMTS13/vWF and the risk of endometriosis. These findings suggest that these coagulation factors are involved in the development of endometriosis and may represent potential therapeutic targets for the management of this complex disease.

References Powered by Scopus

The MR-base platform supports systematic causal inference across the human phenome

4383Citations
N/AReaders
Get full text

METAL: Fast and efficient meta-analysis of genomewide association scans

3420Citations
N/AReaders
Get full text

LD score regression distinguishes confounding from polygenicity in genome-wide association studies

3094Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Plasma metabolites and risk of seven cancers: a two-sample Mendelian randomization study among European descendants

14Citations
N/AReaders
Get full text

An integrative analysis of single-cell and bulk transcriptome and bidirectional mendelian randomization analysis identified C1Q as a novel stimulated risk gene for Atherosclerosis

13Citations
N/AReaders
Get full text

Are Adenomyosis and Endometriosis Phenotypes of the Same Disease Process?

9Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Li, Y., Liu, H., Ye, S., Zhang, B., Li, X., Yuan, J., … Yang, Y. (2023). The effects of coagulation factors on the risk of endometriosis: a Mendelian randomization study. BMC Medicine, 21(1). https://doi.org/10.1186/s12916-023-02881-z

Readers' Seniority

Tooltip

Researcher 5

42%

PhD / Post grad / Masters / Doc 3

25%

Professor / Associate Prof. 2

17%

Lecturer / Post doc 2

17%

Readers' Discipline

Tooltip

Medicine and Dentistry 7

64%

Biochemistry, Genetics and Molecular Bi... 2

18%

Pharmacology, Toxicology and Pharmaceut... 1

9%

Social Sciences 1

9%

Article Metrics

Tooltip
Mentions
News Mentions: 2
Social Media
Shares, Likes & Comments: 14

Save time finding and organizing research with Mendeley

Sign up for free