Genetic Variants at Chromosomes 2q35, 5p12, 6q25.1, 10q26.13, and 16q12.1 Influence the Risk of Breast Cancer in Men
Adult
Adolescent
Breast Neoplasms
QH426-470
Breast Neoplasms, Male
Electron Transport Complex IV
03 medical and health sciences
0302 clinical medicine
Copper Transport Proteins
Genetics
Chromosomes, Human
Genetic Predisposition to Disease
Genetic Association Studies
Aged
Chromosomes, Human, Pair 10
Genetic Variation
3. Good health
Electron Transport Chain Complex Proteins
Case-Control Studies
Chromosomes, Human, Pair 2
Chromosomes, Human, Pair 5
Chromosomes, Human, Pair 6
Female
Apoptosis Regulatory Proteins
Chromosomes, Human, Pair 16
Research Article
DOI:
10.1371/journal.pgen.1002290
Publication Date:
2011-09-16T04:24:41Z
AUTHORS (11)
ABSTRACT
Male breast cancer accounts for approximately 1% of all breast cancer. To date, risk factors for male breast cancer are poorly defined, but certain risk factors and genetic features appear common to both male and female breast cancer. Genome-wide association studies (GWAS) have recently identified common single nucleotide polymorphisms (SNPs) that influence female breast cancer risk; 12 of these have been independently replicated. To examine if these variants contribute to male breast cancer risk, we genotyped 433 male breast cancer cases and 1,569 controls. Five SNPs showed a statistically significant association with male breast cancer: rs13387042 (2q35) (odds ratio (OR) = 1.30, p = 7.98×10⁻⁴), rs10941679 (5p12) (OR = 1.26, p = 0.007), rs9383938 (6q25.1) (OR = 1.39, p = 0.004), rs2981579 (FGFR2) (OR = 1.18, p = 0.03), and rs3803662 (TOX3) (OR = 1.48, p = 4.04×10⁻⁶). Comparing the ORs for male breast cancer with the published ORs for female breast cancer, three SNPs--rs13387042 (2q35), rs3803662 (TOX3), and rs6504950 (COX11)--showed significant differences in ORs (p<0.05) between sexes. Breast cancer is a heterogeneous disease; the relative risks associated with loci identified to date show subtype and, based on these data, gender specificity. Additional studies of well-defined patient subgroups could provide further insight into the biological basis of breast cancer development.
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