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Search: WFRF:(Kraft Richard) > (2005-2009)

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1.
  • Willer, Cristen J., et al. (author)
  • Six new loci associated with body mass index highlight a neuronal influence on body weight regulation
  • 2009
  • In: Nature Genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 41:1, s. 25-34
  • Journal article (peer-reviewed)abstract
    • Common variants at only two loci, FTO and MC4R, have been reproducibly associated with body mass index (BMI) in humans. To identify additional loci, we conducted meta-analysis of 15 genome-wide association studies for BMI (n > 32,000) and followed up top signals in 14 additional cohorts (n > 59,000). We strongly confirm FTO and MC4R and identify six additional loci (P < 5 x 10(-8)): TMEM18, KCTD15, GNPDA2, SH2B1, MTCH2 and NEGR1 (where a 45-kb deletion polymorphism is a candidate causal variant). Several of the likely causal genes are highly expressed or known to act in the central nervous system (CNS), emphasizing, as in rare monogenic forms of obesity, the role of the CNS in predisposition to obesity.
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2.
  • Ahn, Jiyoung, et al. (author)
  • Quantitative trait loci predicting circulating sex steroid hormones in men from the NCI-Breast and Prostate Cancer Cohort Consortium (BPC3).
  • 2009
  • In: Human molecular genetics. - : Oxford University Press (OUP). - 1460-2083 .- 0964-6906. ; 18:19, s. 3749-57
  • Journal article (peer-reviewed)abstract
    • Twin studies suggest a heritable component to circulating sex steroid hormones and sex hormone-binding globulin (SHBG). In the NCI-Breast and Prostate Cancer Cohort Consortium, 874 SNPs in 37 candidate genes in the sex steroid hormone pathway were examined in relation to circulating levels of SHBG (N = 4720), testosterone (N = 4678), 3 alpha-androstanediol-glucuronide (N = 4767) and 17beta-estradiol (N = 2014) in Caucasian men. rs1799941 in SHBG is highly significantly associated with circulating levels of SHBG (P = 4.52 x 10(-21)), consistent with previous studies, and testosterone (P = 7.54 x 10(-15)), with mean difference of 26.9 and 14.3%, respectively, comparing wild-type to homozygous variant carriers. Further noteworthy novel findings were observed between SNPs in ESR1 with testosterone levels (rs722208, mean difference = 8.8%, P = 7.37 x 10(-6)) and SRD5A2 with 3 alpha-androstanediol-glucuronide (rs2208532, mean difference = 11.8%, P = 1.82 x 10(-6)). Genetic variation in genes in the sex steroid hormone pathway is associated with differences in circulating SHBG and sex steroid hormones.
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5.
  • Lettre, Guillaume, et al. (author)
  • Identification of ten loci associated with height highlights new biological pathways in human growth
  • 2008
  • In: Nature Genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 40:5, s. 584-591
  • Journal article (peer-reviewed)abstract
    • Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet- undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in 410,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height (P values from 4 x 10(-7) to 8 x 10(-22)). Together, these 12 loci account for similar to 2% of the population variation in height. Individuals with <= 8 height-increasing alleles and >= 16 height-increasing alleles differ in height by similar to 3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways (let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait.
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6.
  • Setiawan, Veronica Wendy, et al. (author)
  • CYP17 genetic variation and risk of breast and prostate cancer from the national Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3)
  • 2007
  • In: Cancer Epidemiology Biomarkers & Prevention. - 1538-7755. ; 16:11, s. 2237-2246
  • Journal article (peer-reviewed)abstract
    • CYP17 encodes cytochrome p450c17 alpha, which mediates activities essential for the production of sex steroids. Common germ line variation in the CYP17 gene has been related to inconsistent results in breast and prostate cancer, with most studies focusing on the nonsynonymous single nucleotide polymorphism (SNP) T27C (rs743572). We comprehensively characterized variation in CYP17 by direct sequencing of exons followed by dense genotyping across the 58 kb region around CYP17 in five racial/ethnic populations. Two blocks of strong linkage disequilibrium were identified and nine haplotype-tagging SNPs, including T27C, were chosen to predict common haplotypes (R-h(2) >= 0.85). These haplotype-tagging SNPs were genotyped in 8,138 prostate cancer cases and 9,033 controls, and 5,333 breast cancer cases and 7,069 controls from the Breast and Prostate Cancer Cohort Consortium. We observed borderline significant associations with prostate cancer for rs2486758 [TC versus TT, odds ratios (OR), 1.07; 95% confidence intervals (95% Cl), 1.00-1.14; CC versus TT, OR, 1.09; 95% CI, 0.95-1.26; P trend = 0.04] and rs6892 (AG versus AA, OR, 1.08; 95% CI, 1.00-1.15; GG versus AA, OR, 1.11; 95% CI, 0.95-1.30; P trend = 0.03). We also observed marginally significant associations with breast cancer for rs4919687 (GA versus GG, OR, 1.04; 95% CI, 0.97-1.12, AA versus GG, OR, 1.17; 95% CI, 1.03-1.34; P trend = 0.03) and rs4919682 (CT versus CC, OR, 1.04; 95% CI, 0.97-1.12; TT versus CC, OR, 1.16; 95% CI, 1.01-1.33; P trend = 0.04). Common variation at CYP17 was not associated with circulating sex steroid hormones in men or postmenopausal women. Our findings do not support the hypothesis that common germ line variation in CYP17 makes a substantial contribution to postmenopausal breast or prostate cancer susceptibility.
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7.
  • Travis, Ruth C., et al. (author)
  • CYP19A1 Genetic Variation in Relation to Prostate Cancer Risk and Circulating Sex Hormone Concentrations in Men from the Breast and Prostate Cancer Cohort Consortium
  • 2009
  • In: Cancer Epidemiology Biomarkers & Prevention. - 1538-7755. ; 18:10, s. 2734-2744
  • Journal article (peer-reviewed)abstract
    • Sex hormones, particularly the androgens, are important for the growth of the prostate gland and have been implicated in prostate cancer carcinogenesis, yet the determinants of endogenous steroid hormone levels remain poorly understood. Twin studies suggest a heritable component for circulating concentrations of sex hormones, although epidemiologic evidence linking steroid hormone gene variants to prostate cancer is limited. Here we report on findings from a comprehensive study of genetic variation at the CYP19A1 locus in relation to prostate cancer risk and to circulating steroid hormone concentrations in men by the Breast and Prostate Cancer Cohort Consortium (BPC3), a large collaborative prospective study. The BPC3 systematically characterized variation in CYP19A1 by targeted resequencing and dense genotyping; selected haplotype-tagging single nuclecitide polymorphisms (htSNP) that efficiently predict common variants in U.S. and Europe-an whites, Latinos, Japanese Americans, and Native Hawaiians; and genotyped these htSNPs; in 8,166 prostate cancer cases and 9,079 study-, age-, and ethnicity-matched controls. CYP19A1 htSNPs, two common missense variants and common haplotypes were not significantly associated with risk of prostate cancer. However, several htSNPs in linkage disequilibrium blocks 3 and 4 were significantly associated with a 5% to 10% difference in estradiol concentrations in men [association per copy of the two-SNP haplotype rs749292-rs727479 (A-A) versus noncarriers; P = 1 x 10(-5)], and with inverse, although less marked changes, in free testosterone concentrations. These results suggest that although germline variation in CYP19A1 characterized by the htSNPs produces measurable differences in sex hormone concentrations in men, they do not substantially influence risk of prostate cancer. (Cancer Epidemiol Biomarkers Prev 2009;18(10):2734-44)
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8.
  • Xu, Jianfeng, et al. (author)
  • Estimation of absolute risk for prostate cancer using genetic markers and family history
  • 2009
  • In: The Prostate. - : Wiley. - 0270-4137 .- 1097-0045. ; 69:14, s. 1565-1572
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Multiple DNA sequence variants in the form of single-nucleotide polymorphisms (SNPs) have been found to be reproducibly associated with prostate cancer (PCa) risk. METHODS: Absolute risk for PCa among men with various numbers of inherited risk alleles and family history of PCa was estimated in a population-based case-control study in Sweden (2,893 cases and 1,781 controls), and a nested case-control study from the Prostate, Lung, Colon and Ovarian (PLCO) Cancer Screening Trial in the U.S. (1,172 cases and 1,157 controls). RESULTS: Increased number of risk alleles and positive family history were independently associated with PCa risk. Considering men with 11 risk alleles (mode) and negative family history as having baseline risk, men who had >or=14 risk alleles and positive family history had an odds ratio (OR) of 4.92 [95% confidence interval (CI): 3.64-6.64] in the Swedish study. These associations were confirmed in the U.S. population. Once a man's SNP genotypes and family history are known, his absolute risk for PCa can be readily calculated and easily interpreted. For example, 55-year-old men with a family history and >or=14 risk alleles have a 52% and 41% risk of being diagnosed with PCa in the next 20 years in the Swedish and U.S. populations, respectively. In comparison, without knowledge of genotype and family history, these men had an average population absolute risk of 13%. CONCLUSION: This risk prediction model may be used to identify men at considerably elevated PCa risk who may be selected for chemoprevention.
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9.
  • Yeager, Meredith, et al. (author)
  • Identification of a new prostate cancer susceptibility locus on chromosome 8q24.
  • 2009
  • In: Nature genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 41:10, s. 1055-7
  • Journal article (peer-reviewed)abstract
    • We report a genome-wide association study in 10,286 cases and 9,135 controls of European ancestry in the Cancer Genetic Markers of Susceptibility (CGEMS) initiative. We identify a new association with prostate cancer risk on chromosome 8q24 (rs620861, P = 1.3 x 10(-10), heterozygote OR = 1.17, 95% CI 1.10-1.24; homozygote OR = 1.33, 95% CI 1.21-1.45). This defines a new locus associated with prostate cancer susceptibility on 8q24.
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10.
  • Zins, Chaim, et al. (author)
  • Knowledge Map of Information Science: Implications for the Future of the Field
  • 2007
  • In: Brazilian Journal of Information Science. - : Wiley. - 1981-1640. ; 1:1, s. 3-29
  • Journal article (peer-reviewed)abstract
    • This collective paper incorporates eleven position papers on implications of the "Knowledge Map of Information Science,” a Critical Delphi study conducted in 2003-2005 and published as a series of four articles (ZINS, 2007 a, b, c, d). The Delphi study captured the deliberations of 57 leading information science scholars from 16 countries to provide (1) definitions of the fundamental concepts of data, information knowledge and message, (2) alternative conceptions of the broad information science domain, (3) different classificatory mappings of the field, and (4) comprehensive mappings of information science. Overall, the Knowledge Map provides an early 21st century snapshot of the field that should help guide future research, educational programming, publishing, and other professional and scholarly thrusts. Future information science mapping research should be done periodically, including additional Delphi studies and assessments of the degree of the field’s expansion and probable division into sub-fields. Alternative methodologies for mapping the expanding information science universe and its synergies with other fields of knowledge should also be explored.
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  • Result 1-10 of 10
Type of publication
journal article (10)
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peer-reviewed (10)
Author/Editor
Kraft, Peter (9)
Hunter, David J (9)
Hayes, Richard B (8)
Chanock, Stephen J (7)
Kaaks, Rudolf (6)
Haiman, Christopher ... (6)
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Albanes, Demetrius (6)
Thun, Michael J (6)
Henderson, Brian E (5)
Kolonel, Laurence N (5)
Ma, Jing (5)
Le Marchand, Loïc (5)
Stram, Daniel O (5)
Thomas, Gilles (5)
Virtamo, Jarmo (5)
Overvad, Kim (4)
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Riboli, Elio (4)
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Berndt, Sonja I (4)
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Gaziano, J Michael (4)
Travis, Ruth C (3)
Bueno-de-Mesquita, B ... (3)
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Giovannucci, Edward (3)
Stampfer, Meir (3)
Yeager, Meredith (3)
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Trichopoulou, Antoni ... (2)
Key, Timothy J (2)
Groop, Leif (2)
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Stattin, Pär (2)
Wiklund, Fredrik (2)
Berglund, Göran (2)
Canzian, Federico (2)
Hallmans, Göran (2)
Dunning, Alison M. (2)
Hoover, Robert N. (2)
Isomaa, Bo (2)
Hu, Frank B. (2)
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