Dataset Information

HSD17B1 genetic variants and hormone receptor-defined breast cancer.

ABSTRACT: HSD17B1 is an important candidate gene in breast cancer via its role in converting estrone to estradiol. A nonsynonymous G-to-A transition (rs605059) and an intronic C-to-A (rs676387) single-nucleotide polymorphism, which captured most common variation in HSD17B1, were evaluated in several breast cancer studies with inconclusive results. We followed up these findings in the Polish Breast Cancer Study (1,995 cases; 2,296 controls) and the British Studies of Epidemiology and Risk Factors in Cancer Heredity study (4,470 cases; 4,560 controls). Meta-analyses of published data and our own were also conducted among Caucasian women. Consistent with previous reports, we found little to no association with overall risk for heterozygotes and minor allele homozygotes compared with major allele homozygotes for rs605059 [summary odds ratios (95% confidence intervals), 0.93 (0.87-0.99) for GA and 0.96 (0.85-1.08), based on 11,762 cases and 14,329 controls from 10 studies] and for rs676387 [summary odds ratios (95% confidence intervals), 1.04 (0.97-1.12) and 1.12 (0.99-1.27), based on analyses of 11,074 cases and 13,605 controls from 8 studies]. Data from the Polish [n=586 estrogen receptor-negative (ER-) cases] and British (n=407) studies did not support the previous findings that ER- tumors were inversely associated with rs676387 AA genotype and positively associated with rs605059 GG genotype, based on subanalyses in 5 prospective cohorts with 354 ER- cases. In conclusion, it is unlikely that common genetic variation in HSD17B1 is associated with a moderate modulation in breast cancer risk overall; however, we cannot exclude the possibility of a very weak effect. Associations between HSD17B1 genotypes and risk for ER- breast cancer were inconsistent across studies and should be studied further.

SUBMITTER: Gaudet MM

PROVIDER: S-EPMC2908717 | biostudies-literature | 2008 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

HSD17B1 genetic variants and hormone receptor-defined breast cancer.

Gaudet Mia M MM Chanock Stephen S Dunning Alison A Driver Kristy K Brinton Louise A LA Lissowska Jolanta J Peplonska Beata B Pharoah Paul P Garcia-Closas Montserrat M

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20081001 10

HSD17B1 is an important candidate gene in breast cancer via its role in converting estrone to estradiol. A nonsynonymous G-to-A transition (rs605059) and an intronic C-to-A (rs676387) single-nucleotide polymorphism, which captured most common variation in HSD17B1, were evaluated in several breast cancer studies with inconclusive results. We followed up these findings in the Polish Breast Cancer Study (1,995 cases; 2,296 controls) and the British Studies of Epidemiology and Risk Factors in Cancer ...[more]

PMID: 18843021

Similar Datasets

Project description:Steroid hormones are believed to play an important role in prostate carcinogenesis, but epidemiological evidence linking prostate cancer and steroid hormone genes has been inconclusive, in part due to small sample sizes or incomplete characterization of genetic variation at the locus of interest. Here we report on the results of a comprehensive study of the association between HSD17B1 and prostate cancer by the Breast and Prostate Cancer Cohort Consortium, a large collaborative study. HSD17B1 encodes 17beta-hydroxysteroid dehydrogenase 1, an enzyme that converts dihydroepiandrosterone to the testosterone precursor Delta5-androsterone-3beta,17beta-diol and converts estrone to estradiol. The Breast and Prostate Cancer Cohort Consortium researchers systematically characterized variation in HSD17B1 by targeted resequencing and dense genotyping; selected haplotype-tagging single nucleotide polymorphisms (htSNPs) that efficiently predict common variants in U.S. and European whites, Latinos, Japanese Americans, and Native Hawaiians; and genotyped these htSNPs in 8,290 prostate cancer cases and 9,367 study-, age-, and ethnicity-matched controls. We found no evidence that HSD17B1 htSNPs (including the nonsynonymous coding SNP S312G) or htSNP haplotypes were associated with risk of prostate cancer or tumor stage in the pooled multiethnic sample or in U.S. and European whites. Analyses stratified by age, body mass index, and family history of disease found no subgroup-specific associations between these HSD17B1 htSNPs and prostate cancer. We found significant evidence of heterogeneity in associations between HSD17B1 haplotypes and prostate cancer across ethnicity: one haplotype had a significant (p < 0.002) inverse association with risk of prostate cancer in Latinos and Japanese Americans but showed no evidence of association in African Americans, Native Hawaiians, or whites. However, the smaller numbers of Latinos and Japanese Americans in this study makes these subgroup analyses less reliable. These results suggest that the germline variants in HSD17B1 characterized by these htSNPs do not substantially influence the risk of prostate cancer in U.S. and European whites.

Project description:Over the past decade, hundreds of genome-wide association studies (GWAS) have implicated genetic variants in various diseases, including cancer. However, only a few of these variants have been functionally characterized to date, mainly because the majority of the variants reside in non-coding regions of the human genome with unknown function. A comprehensive functional annotation of the candidate variants is thus necessary to fill the gap between the correlative findings of GWAS and the development of therapeutic strategies. By integrating large-scale multi-omics datasets such as the Cancer Genome Atlas (TCGA) and the Encyclopedia of DNA Elements (ENCODE), we performed multivariate linear regression analysis of expression quantitative trait loci, sequence permutation test of transcription factor binding perturbation, and modeling of three-dimensional chromatin interactions to analyze the potential molecular functions of 2,813 single nucleotide variants in 93 genomic loci associated with estrogen receptor-positive breast cancer. To facilitate rapid progress in functional genomics of breast cancer, we have created "Analysis of Breast Cancer GWAS" (ABC-GWAS), an interactive database of functional annotation of estrogen receptor-positive breast cancer GWAS variants. Our resource includes expression quantitative trait loci, long-range chromatin interaction predictions, and transcription factor binding motif analyses to prioritize putative target genes, causal variants, and transcription factors. An embedded genome browser also facilitates convenient visualization of the GWAS loci in genomic and epigenomic context. ABC-GWAS provides an interactive visual summary of comprehensive functional characterization of estrogen receptor-positive breast cancer variants. The web resource will be useful to both computational and experimental biologists who wish to generate and test their hypotheses regarding the genetic susceptibility, etiology, and carcinogenesis of breast cancer. ABC-GWAS can also be used as a user-friendly educational resource for teaching functional genomics. ABC-GWAS is available at http://education.knoweng.org/abc-gwas/.

Dataset Information

HSD17B1 genetic variants and hormone receptor-defined breast cancer.

Publications

HSD17B1 genetic variants and hormone receptor-defined breast cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets