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ID 114954
Low, Siew-Kee Japanese Foundation for Cancer Research|RIKEN Center for Integrative Medical Sciences
Chin, Yoon Ming Japanese Foundation for Cancer Research
Ito, Hidemi Aichi Cancer Center Research Institute|Nagoya University
Matsuo, Keitaro Aichi Cancer Center Research Institute|Nagoya University
Tanikawa, Chizu The University of Tokyo
Matsuda, Koichi The University of Tokyo
Saito, Hiroko The Cancer Institute of JFCR
Sakurai-Yageta, Mika Tohoku University
Nakaya, Naoki Tohoku University
Shimizu, Atsushi Iwate Medical University
Nishizuka, Satoshi S. Iwate Medical University
Yamaji, Taiki National Cancer Center
Sawada, Norie National Cancer Center
Iwasaki, Motoki National Cancer Center
Tsugane, Shoichiro National Cancer Center
Takezaki, Toshiro Kagoshima University
Suzuki, Sadao Nagoya City University
Naito, Mariko Nagoya University|Hiroshima University
Wakai, Kenji Nagoya University
Kamatani, Yoichiro RIKEN Center for Integrative Medical Sciences
Momozawa, Yukihide RIKEN Center for Integrative Medical Sciences
Murakami, Yoshinori The University of Tokyo
Inazawa, Johji Tokyo Medical & Dental University
Nakamura, Yusuke Japanese Foundation for Cancer Research
Kubo, Michiaki RIKEN Center for Integrative Medical Sciences
Miki, Yoshio The Cancer Institute of JFCR|Tokyo Medical & Dental University
Content Type
Journal Article
Genome-wide association studies (GWAS) have successfully identified about 70 genomic loci associated with breast cancer. Owing to the complexity of linkage disequilibrium and environmental exposures in different populations, it is essential to perform regional GWAS for better risk prediction. This study aimed to investigate the genetic architecture and to assess common genetic risk model of breast cancer with 6,669 breast cancer patients and 21,930 female controls in the Japanese population. This GWAS identified 11 genomic loci that surpass genome-wide significance threshold of P < 5.0 × 10−8 with nine previously reported loci and two novel loci that include rs9862599 on 3q13.11 (ALCAM) and rs75286142 on 21q22.12 (CLIC6-RUNX1). Validation study was carried out with 981 breast cancer cases and 1,394 controls from the Aichi Cancer Center. Pathway analyses of GWAS signals identified association of dopamine receptor medicated signaling and protein amino acid deacetylation with breast cancer. Weighted genetic risk score showed that individuals who were categorized in the highest risk group are approximately 3.7 times more likely to develop breast cancer compared to individuals in the lowest risk group. This well-powered GWAS is a representative study to identify SNPs that are associated with breast cancer in the Japanese population.
Journal Title
Scientific Reports
Springer Nature
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Published Date
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Institute of Advanced Medical Sciences