Objective: Genetic as well as hormonal factors are known to influence the development and clinical course of endometriosis. We aimed to investigate the association among 10 single nucleotide polymorphisms (SNPs) invol...Objective: Genetic as well as hormonal factors are known to influence the development and clinical course of endometriosis. We aimed to investigate the association among 10 single nucleotide polymorphisms (SNPs) involved in the estrogen metabolism and endometriosis and to develop a multiple genetic model. METHODS: In a case-control study, we investigated the genotype frequencies of 10 estrogen metabolizing SNPs in 32 patients with endometriosis and 790 healthy controls using sequencing-on-chip-technology with solid-phase polymerase chain reaction on oligonucleotide microarrays: catechol-O-methy-ltransferase, Val158Met G->A, 17-β-hydroxysteroid dehydrogenase type 1 (HSD17), vIV A->C, cytochrome P450 (CYP), 17 A2 allele T->C, CYP1A1 Mspl RFLP T->C, CYP1A1 Ile462ValA->G, CYP19 Arg264-Cys C->T, CYP19 C1558T C->T, CYP 1B1 Leu432Val, CYP1B1 Asn453Ser, and estrogen receptor alpha. IVS1-401>C. Associations and 2-way interaction models between SNPs were calculated by stepwise logistic regression models. RESULTS: In a univariate model, HSD17 vIV A->C was associated with a significantly increased risk of endometriosis (P = .004; odds ratio 3.9, 95%confidence interval 1.6-9.8). When all 2-way interactions of investigated SNPs were ascertained, no significant interactions among SNPs were observed. In a multivariate model, HSD17 vIV A->C was also significantly associated with endometriosis (P = .002). CONCLUSION: We present data on multiple SNPs in patients with endometriosis indicating an association between HSD17 gene variation and the disease. Although not able to demonstrate interaction models of SNPs, we provide evidence of HSD17 vIV A->C as a low penetrance genetic marker of endometriosis.展开更多
文摘Objective: Genetic as well as hormonal factors are known to influence the development and clinical course of endometriosis. We aimed to investigate the association among 10 single nucleotide polymorphisms (SNPs) involved in the estrogen metabolism and endometriosis and to develop a multiple genetic model. METHODS: In a case-control study, we investigated the genotype frequencies of 10 estrogen metabolizing SNPs in 32 patients with endometriosis and 790 healthy controls using sequencing-on-chip-technology with solid-phase polymerase chain reaction on oligonucleotide microarrays: catechol-O-methy-ltransferase, Val158Met G->A, 17-β-hydroxysteroid dehydrogenase type 1 (HSD17), vIV A->C, cytochrome P450 (CYP), 17 A2 allele T->C, CYP1A1 Mspl RFLP T->C, CYP1A1 Ile462ValA->G, CYP19 Arg264-Cys C->T, CYP19 C1558T C->T, CYP 1B1 Leu432Val, CYP1B1 Asn453Ser, and estrogen receptor alpha. IVS1-401>C. Associations and 2-way interaction models between SNPs were calculated by stepwise logistic regression models. RESULTS: In a univariate model, HSD17 vIV A->C was associated with a significantly increased risk of endometriosis (P = .004; odds ratio 3.9, 95%confidence interval 1.6-9.8). When all 2-way interactions of investigated SNPs were ascertained, no significant interactions among SNPs were observed. In a multivariate model, HSD17 vIV A->C was also significantly associated with endometriosis (P = .002). CONCLUSION: We present data on multiple SNPs in patients with endometriosis indicating an association between HSD17 gene variation and the disease. Although not able to demonstrate interaction models of SNPs, we provide evidence of HSD17 vIV A->C as a low penetrance genetic marker of endometriosis.
