| Title |
A genetic risk predictor for breast cancer using a combination of low-penetrance polymorphisms in a Japanese population
|
|---|---|
| Published in |
Breast Cancer Research and Treatment, December 2011
|
| DOI | 10.1007/s10549-011-1904-5 |
| Pubmed ID | |
| Authors |
Aiko Sueta, Hidemi Ito, Takakazu Kawase, Kaoru Hirose, Satoyo Hosono, Yasushi Yatabe, Kazuo Tajima, Hideo Tanaka, Hiroji Iwata, Hirotaka Iwase, Keitaro Matsuo |
| Abstract |
Genome-wide association studies (GWASs) have identified genetic variants associated with breast cancer. Most GWASs to date have been conducted in women of European descent, however, and the contribution of these variants as predictors in Japanese women is unknown. Here, we analyzed 23 genetic variants identified in previous GWASs and conducted a case-control study with 697 case subjects and 1,394 age- and menopausal status-matched controls. We fit conditional regression models with genetic variants and conventional risk factors. In addition, we created a polygenetic risk score, using those variants with a statistically significant association with breast cancer risk, and also evaluated the contribution of these genetic predictors using the c statistic. Eleven single-nucleotide polymorphisms (SNPs) revealed significant associations with breast cancer risk. A dose-dependent association was observed between the risk of breast cancer and the genetic risk score, which was an aggregate measure of alleles in seven selected variants, namely FGFR2-rs2981579, TOX3/TNRC9-rs3803662, C6orf97-rs2046210, 8q24-rs13281615, SLC4A7-rs4973768, LSP1-rs38137198, and CASP8-rs10931936. Compared to women with scores of 3 or less, odds ratios (ORs) for women with scores of 4-5, 6-7, 8-9, and 10 or more were 1.33 (95% confidence interval, 1.00-1.80), 1.71 (1.26-2.30), 3.01 (1.97-4.58), and 8.69 (2.75-27.5), respectively (P (trend) = 1.9 × 10(-9)). The c statistic for a model including the genetic risk score in addition to the conventional risk factors was 0.6933, versus 0.6652 with the conventional risk factors only (P = 1.3 × 10(-4)). Population-attributable fraction of the risk score was 33.0%. In conclusion, we identified a genetic risk predictor of breast cancer in a Japanese population. Risk models which include a genetic risk score are possibly useful in distinguishing women at high risk of breast cancer from those at low risk, particularly in the context of targeted prevention. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 5% |
| Unknown | 39 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 17% |
| Professor | 5 | 12% |
| Researcher | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 3 | 7% |
| Other | 8 | 20% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 29% |
| Agricultural and Biological Sciences | 8 | 20% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Psychology | 2 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 11 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 December 2011.
All research outputs
#18,301,870
of 22,659,164 outputs
Outputs from Breast Cancer Research and Treatment
#3,678
of 4,612 outputs
Outputs of similar age
#196,410
of 242,066 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#49
of 56 outputs
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