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ABSTRACT: Objective
To evaluate the relationship between common genetic variation in genes involved in the biosynthesis and signaling of estrogen and progesterone and endometriosis risk.Design
Genetic polymorphism analysis.Setting
Population-based case-control study conducted in Group Health Cooperative enrollees in western Washington.Patient(s)
Women with newly diagnosed, surgically confirmed endometriosis between 1996 and 2001 (n = 256) and age- and reference year-matched female control subjects without a history of endometriosis (n = 567).Interventions(s)
None.Main outcome measure(s)
We evaluated the relationship between common genetic variation and endometriosis risk, using gene-based tests and single-variant analysis of genetic polymorphisms in ESR1, ESR2, PGR, CYP17A1, CYP19A1, HSD17B1, HSD17B2, CYP1A1, CYP1A2, COMT, and GSTM1.Result(s)
The most consistent gene-based association with endometriosis risk was for CYP19A1. We did not find evidence for consistent significant associations between previously reported candidate SNPs in sex hormone-related genes and endometriosis risk.Conclusion(s)
In summary, we report increased endometriosis risk with CYP19A1 gene-based tests; replication of the association between endometriosis and this gene or gene region is necessary in a larger study population.
SUBMITTER: Trabert B
PROVIDER: S-EPMC3228888 | biostudies-literature | 2011 Dec
REPOSITORIES: biostudies-literature
Trabert Britton B Schwartz Stephen M SM Peters Ulrike U De Roos Anneclaire J AJ Chen Chu C Scholes Delia D Holt Victoria L VL
Fertility and sterility 20110928 6
<h4>Objective</h4>To evaluate the relationship between common genetic variation in genes involved in the biosynthesis and signaling of estrogen and progesterone and endometriosis risk.<h4>Design</h4>Genetic polymorphism analysis.<h4>Setting</h4>Population-based case-control study conducted in Group Health Cooperative enrollees in western Washington.<h4>Patient(s)</h4>Women with newly diagnosed, surgically confirmed endometriosis between 1996 and 2001 (n = 256) and age- and reference year-matched ...[more]