Interactions between genetic variants and environmental risk factors are associated with the severity of pelvic organ prolapse
- PMID: 37040585
- PMCID: PMC10227931
- DOI: 10.1097/GME.0000000000002182
Interactions between genetic variants and environmental risk factors are associated with the severity of pelvic organ prolapse
Abstract
Objective: Both environmental and genetic risk factors contribute to pelvic organ prolapse (POP). No genome-wide study has investigated the gene-environment (G × E) interactions. In this study, we aim to identify single nucleotide polymorphisms (SNPs) that may interact with the potential environmental factors, maximum birth weight, and age in Chinese women.
Methods: We recruited 576 women for phase 1 and 264 women for phase 2 with stages III and IV prolapse from six geographic regions of China. Genomic DNAs from blood samples were genotyped using Affymetrix Axiom Genome-Wide CHB1 Array of 640,674 SNPs for phase 1 and Illumina Infinium Asian Screening Array of 743,722 SNPs for phase 2. Meta-analysis was used to combine the two results. Interactions of genetic variants with maximum birth weight and age on POP severity were identified.
Results: In phase 1, 502,283 SNPs in 523 women passed quality control and 450 women had complete POP-quantification measurements. In phase 2, 463,351 SNPs in 257 women passed quality control with complete POP-quantification measurements. Three SNPs rs76662748 ( WDR59 , Pmeta = 2.146 × 10 -8 ), rs149541061 ( 3p26.1 , Pmeta = 9.273 × 10 -9 ), and rs34503674 ( DOCK9 , Pmeta = 1.778 × 10 -9 ) respectively interacted with maximum birth weight, and two SNPs rs74065743 ( LINC01343 , Pmeta = 4.386 × 10 -8 ) and rs322376 ( NEURL1B - DUSP1 , Pmeta = 2.263 × 10 -8 ), respectively, interacted with age. The magnitude of disease severity associated with maximum birth weight and age differed according to genetic variants.
Conclusions: This study provided preliminary evidence that interactions between genetic variants and environmental risk factors are associated with POP severity, suggesting the potential use of combining epidemiologic exposure data with selected genotyping for risk assessment and patient stratification.
Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The North American Menopause Society.
Conflict of interest statement
Financial disclosures/conflicts of interest: None reported.
Figures
Similar articles
-
Surgery for women with pelvic organ prolapse with or without stress urinary incontinence.Cochrane Database Syst Rev. 2018 Aug 19;8(8):CD013108. doi: 10.1002/14651858.CD013108. Cochrane Database Syst Rev. 2018. PMID: 30121956 Free PMC article.
-
Perioperative interventions in pelvic organ prolapse surgery.Cochrane Database Syst Rev. 2025 Jul 22;7(7):CD013105. doi: 10.1002/14651858.CD013105.pub2. Cochrane Database Syst Rev. 2025. PMID: 40693510 Review.
-
Perioperative interventions in pelvic organ prolapse surgery.Cochrane Database Syst Rev. 2018 Aug 19;8(8):CD013105. doi: 10.1002/14651858.CD013105. Cochrane Database Syst Rev. 2018. Update in: Cochrane Database Syst Rev. 2025 Jul 22;7:CD013105. doi: 10.1002/14651858.CD013105.pub2. PMID: 30121957 Free PMC article. Updated.
-
Assessing the link between birth interval and pelvic organ prolapse severity in reproductive-age women in rural Turkey: A cross-sectional study on quality of life.Int J Gynaecol Obstet. 2025 Sep;170(3):1117-1127. doi: 10.1002/ijgo.70106. Epub 2025 Apr 1. Int J Gynaecol Obstet. 2025. PMID: 40167110
-
Transvaginal mesh or grafts or native tissue repair for vaginal prolapse.Cochrane Database Syst Rev. 2024 Mar 13;3(3):CD012079. doi: 10.1002/14651858.CD012079.pub2. Cochrane Database Syst Rev. 2024. PMID: 38477494 Free PMC article.
Cited by
-
Multi-omics approach for identifying CNV-associated lncRNA signatures with prognostic value in prostate cancer.Noncoding RNA Res. 2023 Oct 10;9(1):66-75. doi: 10.1016/j.ncrna.2023.10.001. eCollection 2024 Mar. Noncoding RNA Res. 2023. PMID: 38075203 Free PMC article.
-
Developing a polygenic risk score for pelvic organ prolapse: a combined risk assessment approach in Chinese women.Front Med. 2025 Aug;19(4):665-674. doi: 10.1007/s11684-024-1114-2. Epub 2025 May 3. Front Med. 2025. PMID: 40317452
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous