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density, mammographic, cancer, breast, igf, pubmed, igfbp, google, scholar, women, article, cas, study, percentage, risk, postmenopausal, haplotype, snps, common, association, variation, haplotypes, genetic, growth, levels, results, insulinlike, table, block, circulating, health, haplotypetagging, factor, epidemiol, prev, genes, snp, cohort, premenopausal, biomarkers, observed, blocks, hankinson, gene, encoding, studies, hormone, factors, years, nurses,

Topics {✒️}

article download pdf nested case-control study full access catechol-o-methyltransferase gene specific haplotype-tagging snps individual haplotype-tagging snps cross-sectional studies suggest growth factor-binding protein-3 haplotype-based association studies square-root transformation homozygous wild-type genotype homozygous wild-type genotypes igf1 haplotype-tagging snps haplotype-tagging snp selection cross-sectional study haplotype–trend regression models genome-wide association studies common genetic variation privacy choices/manage cookies article number r18 back-transformed assuming haplotype-tagging snps menopausal status/postmenopausal hormone cross-sectional investigation nurses' health study cross-sectional analysis postmenopausal estrogen/progestin intervention body mass index examining plasma markers genes encoding igfbp-1/igfbp-3 common haplotype patterns homozygous wild-type breast cancer res breast cancer risk igfbp-1/igfbp-3 haplotype blocks breast cancer ca089393 growth factor system igf1 genetic variation mammographic density relationship benign breast disease semin breast dis biomed central multiethnic cohort study premenopausal breast cancer natl cancer inst endocr relat cancer nat rev cancer progesterone concentrations percentage breast density sas proc haplotype

Questions {❓}

• Kerlikowske K, Shepherd J, Creasman J, Tice JA, Ziv E, Cummings SR: Are breast density and bone mineral density independent risk factors for breast cancer?

Schema {🗺️}

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         headline:Common genetic variation in IGF1, IGFBP-1, and IGFBP-3 in relation to mammographic density: a cross-sectional study
         description:Mammographic density is one of the strongest risk factors for breast cancer and is believed to represent epithelial and stromal proliferation. Because of the high heritability of breast density, and the role of the insulin-like growth factor (IGF) pathway in cellular proliferation and breast development, we examined the association between common genetic variation in this pathway and mammographic density. We conducted a cross-sectional analysis among controls (n = 1,121) who were between the ages of 42 and 78 years at mammography, from a breast cancer case-control study nested within the Nurses' Health Study cohort. At the time of mammography, 204 women were premenopausal and 917 were postmenopausal. We genotyped 29 haplotype-tagging SNPs demonstrated to capture common genetic variation in IGF1, IGF binding protein (IGFBP)-1, and IGFBP-3. Common haplotype patterns in three of the four haplotype blocks spanning the gene encoding IGF1 were associated with mammographic density. Haplotype patterns in block 1 (p = 0.03), block 3 (p = 0.009), and block 4 (p = 0.007) were associated with mammographic density, whereas those in block 2 were not. None of the common haplotypes in the three haplotype blocks spanning the genes encoding IGFBP-1/IGFBP-3 were significantly associated with mammographic density. Two haplotype-tagging SNPs in IGF1, rs1520220 and rs2946834, showed a strong association with mammographic density. Those with the homozygous variant genotype for rs1520220 had a mean percentage mammographic density of 19.6% compared with those with the homozygous wild-type genotype, who had a mean percentage mammographic density of 27.9% (p for trend < 0.0001). Those that were homozygous variant for rs2946834 had a mean percentage mammographic density of 23.2% compared with those who were homozygous wild-type with a mean percentage mammographic density of 28.2% (p for trend = 0.0004). Permutation testing demonstrated that results as strong as these are unlikely to occur by chance (p = 0.0005). Common genetic variation in IGF1 is strongly associated with percentage mammographic density.
         datePublished:2007-02-14T00:00:00Z
         dateModified:2007-02-14T00:00:00Z
         pageStart:1
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            Premenopausal Woman
            Mammographic Density
            Breast Density
            Haplotype Block
            Cancer Research
            Oncology
            Surgical Oncology
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      headline:Common genetic variation in IGF1, IGFBP-1, and IGFBP-3 in relation to mammographic density: a cross-sectional study
      description:Mammographic density is one of the strongest risk factors for breast cancer and is believed to represent epithelial and stromal proliferation. Because of the high heritability of breast density, and the role of the insulin-like growth factor (IGF) pathway in cellular proliferation and breast development, we examined the association between common genetic variation in this pathway and mammographic density. We conducted a cross-sectional analysis among controls (n = 1,121) who were between the ages of 42 and 78 years at mammography, from a breast cancer case-control study nested within the Nurses' Health Study cohort. At the time of mammography, 204 women were premenopausal and 917 were postmenopausal. We genotyped 29 haplotype-tagging SNPs demonstrated to capture common genetic variation in IGF1, IGF binding protein (IGFBP)-1, and IGFBP-3. Common haplotype patterns in three of the four haplotype blocks spanning the gene encoding IGF1 were associated with mammographic density. Haplotype patterns in block 1 (p = 0.03), block 3 (p = 0.009), and block 4 (p = 0.007) were associated with mammographic density, whereas those in block 2 were not. None of the common haplotypes in the three haplotype blocks spanning the genes encoding IGFBP-1/IGFBP-3 were significantly associated with mammographic density. Two haplotype-tagging SNPs in IGF1, rs1520220 and rs2946834, showed a strong association with mammographic density. Those with the homozygous variant genotype for rs1520220 had a mean percentage mammographic density of 19.6% compared with those with the homozygous wild-type genotype, who had a mean percentage mammographic density of 27.9% (p for trend < 0.0001). Those that were homozygous variant for rs2946834 had a mean percentage mammographic density of 23.2% compared with those who were homozygous wild-type with a mean percentage mammographic density of 28.2% (p for trend = 0.0004). Permutation testing demonstrated that results as strong as these are unlikely to occur by chance (p = 0.0005). Common genetic variation in IGF1 is strongly associated with percentage mammographic density.
      datePublished:2007-02-14T00:00:00Z
      dateModified:2007-02-14T00:00:00Z
      pageStart:1
      pageEnd:13
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         Breast Cancer Risk
         Premenopausal Woman
         Mammographic Density
         Breast Density
         Haplotype Block
         Cancer Research
         Oncology
         Surgical Oncology
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      name:Department of Epidemiology, Harvard School of Public Health, Boston, USA
      name:Department of Epidemiology, Harvard School of Public Health, Boston, USA
      name:Department of Biostatics, Harvard School of Public Health, Boston, USA
      name:Department of Medicine and Oncology, McGill University, Montreal, Canada
      name:Keck School of Medicine, University of Southern California, Los Angeles, USA
      name:Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
      name:Program in Medical and Population Genetics, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, USA
      name:Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
      name:Department of Epidemiology, Harvard School of Public Health, Boston, USA
      name:Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
      name:Department of Epidemiology, Harvard School of Public Health, Boston, USA
      name:Department of Surgery, Washington University School of Medicine, St. Louis, USA
      name:Department of Epidemiology, Harvard School of Public Health, Boston, USA
      name:Department of Surgery, Washington University School of Medicine, St. Louis, USA

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