| Literature DB >> 27354352 |
Mi-Ryung Han1, Jirong Long2, Ji-Yeob Choi3,4, Siew-Kee Low5, Sun-Seog Kweon6,7, Ying Zheng8, Qiuyin Cai1, Jiajun Shi1, Xingyi Guo1, Keitaro Matsuo9,10, Motoki Iwasaki11, Chen-Yang Shen12,13,14, Mi Kyung Kim15, Wanqing Wen1, Bingshan Li16, Atsushi Takahashi5, Min-Ho Shin6, Yong-Bing Xiang17, Hidemi Ito18, Yoshio Kasuga19, Dong-Young Noh4,20, Koichi Matsuda21, Min Ho Park22, Yu-Tang Gao17, Hiroji Iwata23, Shoichiro Tsugane24, Sue K Park3,4,25, Michiaki Kubo26, Xiao-Ou Shu1, Daehee Kang3,4,25, Wei Zheng1.
Abstract
Breast cancer is one of the most common malignancies among women worldwide. Genetic factors have been shown to play an important role in breast cancer aetiology. We conducted a two-stage genome-wide association study (GWAS) including 14 224 cases and 14 829 controls of East Asian women to search for novel genetic susceptibility loci for breast cancer. Single nucleotide polymorphisms (SNPs) in two loci were found to be associated with breast cancer risk at the genome-wide significance level. The first locus, represented by rs12118297 at 1p22.3 (near the LMO4 gene), was associated with breast cancer risk with odds ratio (OR) and (95% confidence interval (CI)) of 0.91 (0.88-0.94) and a P-value of 4.48 × 10- 8 This association was replicated in another study, DRIVE GAME-ON Consortium, including 16 003 cases and 41 335 controls of European ancestry (OR = 0.95, 95% CI = 0.91-0.99, P-value = 0.019). The second locus, rs16992204 at 21q22.12 (near the LINC00160 gene), was associated with breast cancer risk with OR (95% CI) of 1.13 (1.07-1.18) and a P-value of 4.63 × 10 - 8 The risk allele frequency for this SNP is zero in European-ancestry populations in 1000 Genomes Project and thus its association with breast cancer risk cannot be assessed in DRIVE GAME-ON Consortium. Functional annotation using the ENCODE data indicates that rs12118297 might be located in a repressed element and locus 21q22.12 may affect breast cancer risk through regulating LINC00160 expressions and interaction with oestrogen receptor signalling. Our findings provide additional insights into the genetics of breast cancer.Entities:
Mesh:
Year: 2016 PMID: 27354352 PMCID: PMC5179918 DOI: 10.1093/hmg/ddw164
Source DB: PubMed Journal: Hum Mol Genet ISSN: 0964-6906 Impact factor: 6.150