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Dataset Information

Evaluating the ovarian cancer gonadotropin hypothesis: a candidate gene study.


ABSTRACT:

Objective

Ovarian cancer is a hormone-related disease with a strong genetic basis. However, none of its high-penetrance susceptibility genes and GWAS-identified variants to date are known to be involved in hormonal pathways. Given the hypothesized etiologic role of gonadotropins, an assessment of how variability in genes involved in the gonadotropin signaling pathway impacts disease risk is warranted.

Methods

Genetic data from 41 ovarian cancer study sites were pooled and unconditional logistic regression was used to evaluate whether any of the 2185 SNPs from 11 gonadotropin signaling pathway genes was associated with ovarian cancer risk. A burden test using the admixture likelihood (AML) method was also used to evaluate gene-level associations.

Results

We did not fin

SUBMITTER: Lee AW 

PROVIDER: S-EPMC4892108 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

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