Interactions between genetic variants and environmental risk factors are associated with the severity of pelvic organ prolapse

被引:5
|
作者
Li, Lei [1 ]
Zhao, Guangyi [2 ,3 ]
Wu, Jie [4 ]
Pang, Haiyu [5 ]
Zhang, Tianli [6 ]
Chen, Juan [1 ]
Zhang, Kunlin [2 ,3 ,8 ]
Zhu, Lan [1 ,7 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Natl Clin Res Ctr Obstet & Gynecol Dis, Dept Obstet & Gynecol, Beijing, Peoples R China
[2] Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China
[3] Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
[4] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Lab Med, Beijing, Peoples R China
[5] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Med Sci Res Ctr, Beijing, Peoples R China
[6] Nankai Univ, Coll Life Sci, Tianjin, Peoples R China
[7] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Obstet & Gynecol, 1 Shuai Fu Yuan, Beijing 100730, Peoples R China
[8] Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, 16 Lincui Rd, Beijing 100101, Peoples R China
来源
MENOPAUSE-THE JOURNAL OF THE MENOPAUSE SOCIETY | 2023年 / 30卷 / 06期
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Age; Genexenvironment interaction; Maximum birth weight; Pelvic organ prolapse; Single-nucleotide polymorphism; STRESS URINARY-INCONTINENCE; BIRTH;
D O I
10.1097/GME.0000000000002182
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
ObjectiveBoth environmental and genetic risk factors contribute to pelvic organ prolapse (POP). No genome-wide study has investigated the gene-environment (G x 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.MethodsWe 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.ResultsIn 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, P-meta = 2.146 x 10(-8)), rs149541061 (3p26.1, P-meta = 9.273 x 10(-9)), and rs34503674 (DOCK9, P-meta = 1.778 x 10(-9)) respectively interacted with maximum birth weight, and two SNPs rs74065743 (LINC01343, P-meta = 4.386 x 10(-8)) and rs322376 (NEURL1B-DUSP1, P-meta = 2.263 x 10(-8)), respectively, interacted with age. The magnitude of disease severity associated with maximum birth weight and age differed according to genetic variants.ConclusionsThis 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.
引用
收藏
页码:621 / 628
页数:8
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