14 research outputs found

    パラオで採集した海洋糸状菌TUF98F139株が生産する微少管重合阻害活性物質

    Get PDF
    東京水産大学海洋環境学科東京水産大学海洋環境学科東京水産大学海洋環境学科東京大学分子細胞生物学研究所東京水産大学練習船海鷹丸東京水産大学練習船海鷹

    Current structure observed in the central equatorial Pacific Ocean

    Get PDF
    東京水産大学環境システム学講座東京水産大学海鷹丸東京水産大学海鷹丸東京水産大学海鷹丸東京水産大学海鷹丸東京水産大学環境システム学講座東京水産大学海鷹

    A study on health control for cadets in sea training 1. : body composition and blood circulation among cadets in sea training

    Get PDF
    東京水産大学海洋システム工学講座東京水産大学水産資源経営講座東京水産大学練習船海鷹丸東京水産大学練習船海鷹丸東京水産大学練習船海鷹丸東京水産大学練習船海鷹丸東京水産大学練習船海鷹丸東京水産大学練習船青鷹丸東京水産大学練習船青鷹丸東京水産大学名誉教

    Seabirds in the Australian Sector of the Southern Ocean, January and February 1984 (abstract)

    Get PDF

    A Personal Breast Cancer Risk Stratification Model Using Common Variants and Environmental Risk Factors in Japanese Females

    No full text
    Personalized approaches to prevention based on genetic risk models have been anticipated, and many models for the prediction of individual breast cancer risk have been developed. However, few studies have evaluated personalized risk using both genetic and environmental factors. We developed a risk model using genetic and environmental risk factors using 1319 breast cancer cases and 2094 controls from three case–control studies in Japan. Risk groups were defined based on the number of risk alleles for 14 breast cancer susceptibility loci, namely low (0–10 alleles), moderate (11–16) and high (17+). Environmental risk factors were collected using a self-administered questionnaire and implemented with harmonization. Odds ratio (OR) and C-statistics, calculated using a logistic regression model, were used to evaluate breast cancer susceptibility and model performance. Respective breast cancer ORs in the moderate- and high-risk groups were 1.69 (95% confidence interval, 1.39–2.04) and 3.27 (2.46–4.34) compared with the low-risk group. The C-statistic for the environmental model of 0.616 (0.596–0.636) was significantly improved by combination with the genetic model, to 0.659 (0.640–0.678). This combined genetic and environmental risk model may be suitable for the stratification of individuals by breast cancer risk. New approaches to breast cancer prevention using the model are warranted
    corecore