Dataset Information

Influence of genomic variation in FTO at 16q12.2, MC4R at 18q22 and NRXN3 at 14q31 genes on breast cancer risk.

ABSTRACT: Breast cancer is a major cause of cancer-related deaths in women. It is known that obesity is one of the risk factors of breast cancer. The subject of our interest was genes: FTO, MC4R and NRXN3-associated with obesity. In this study we have analyzed frequencies of genomic variants in FTO, MC4R and NRXN3 in the group of 134 breast cancer patients. We genotyped two polymorphic sites located in FTO gene (rs993909 and rs9930506), one polymorphic site of MC4R gene (rs17782313) and one polymorphic site of NRXN3 gene (rs10146997). Our hypothesis was that above mentioned SNPs could participate in carcinogenesis. Our research has showed that only rs10146997 was significantly (P = 0.0445) associated with higher risk of breast cancer development (OR = 0.66 (95% CI 0.44-0.99)). Moreover, G allele carriers in rs10146997 of the NRXN3 gene were the youngest patients at onset of breast cancer. On the basis of our research we suggest that further functional may elucidate the role of genomic variation in breast cancer development.

SUBMITTER: Kusinska R

PROVIDER: S-EPMC3271204 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature

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Influence of genomic variation in FTO at 16q12.2, MC4R at 18q22 and NRXN3 at 14q31 genes on breast cancer risk.

Kusinska Renata R Górniak Patryk P Pastorczak Agata A Fendler Wojciech W Potemski Piotr P Mlynarski Wojciech W Kordek Radzislaw R

Molecular biology reports 20110619 3

Breast cancer is a major cause of cancer-related deaths in women. It is known that obesity is one of the risk factors of breast cancer. The subject of our interest was genes: FTO, MC4R and NRXN3-associated with obesity. In this study we have analyzed frequencies of genomic variants in FTO, MC4R and NRXN3 in the group of 134 breast cancer patients. We genotyped two polymorphic sites located in FTO gene (rs993909 and rs9930506), one polymorphic site of MC4R gene (rs17782313) and one polymorphic si ...[more]

PMID: 21688152

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Project description:Association studies in candidate genes have been widely used to search for common low penetrance susceptibility alleles, but few definite associations have been established. We have conducted association studies in breast cancer using an empirical single nucleotide polymorphism (SNP) tagging approach to capture common genetic variation in genes that are candidates for breast cancer based on their known function. We genotyped 710 SNPs in 120 candidate genes in up to 4,400 breast cancer cases and 4,400 controls using a staged design. Correction for population stratification was done using the genomic control method, on the basis of data from 280 genomic control SNPs. Evidence for association with each SNP was assessed using a Cochran-Armitage trend test (p-trend) and a two-degrees of freedom chi(2) test for heterogeneity (p-het). The most significant single SNP (p-trend = 8 x 10(-5)) was not significant at a nominal 5% level after adjusting for population stratification and multiple testing. To evaluate the overall evidence for an excess of positive associations over the proportion expected by chance, we applied two global tests: the admixture maximum likelihood (AML) test and the rank truncated product (RTP) test corrected for population stratification. The admixture maximum likelihood experiment-wise test for association was significant for both the heterogeneity test (p = 0.0031) and the trend test (p = 0.017), but no association was observed using the rank truncated product method for either the heterogeneity test or the trend test (p = 0.12 and p = 0.24, respectively). Genes in the cell-cycle control pathway and genes involved in steroid hormone metabolism and signalling were the main contributors to the association. These results suggest that a proportion of SNPs in these candidate genes are associated with breast cancer risk, but that the effects of individual SNPs is likely to be small. Large sample sizes from multicentre collaboration will be needed to identify associated SNPs with certainty.

Dataset Information

Influence of genomic variation in FTO at 16q12.2, MC4R at 18q22 and NRXN3 at 14q31 genes on breast cancer risk.

Publications

Influence of genomic variation in FTO at 16q12.2, MC4R at 18q22 and NRXN3 at 14q31 genes on breast cancer risk.

Similar Datasets

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