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Träfflista för sökning "WFRF:(Chang Jin Woo) srt2:(2008-2009)"

Sökning: WFRF:(Chang Jin Woo) > (2008-2009)

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1.
  • Kim, Woo Sik, et al. (författare)
  • Film Structure-Induced Resonant Oscillation Changes in a Poly Acrylic Acid Modified Quartz Crystal Sensor
  • 2008
  • Ingår i: Molecular Crystals and Liquid Crystals. - : Informa UK Limited. - 1542-1406 .- 1563-5287. ; 492, s. 221-228
  • Tidskriftsartikel (refereegranskat)abstract
    • A poly acrylic acid (PAA) film has been fabricated on a quartz crystal microbalance to study the dynamic property changes induced by different pH values. The experiment has been performed by a two-step. First, using the self-assembly procedure, the gold surface of quartz crystal was chemically modified to allow the graft copolymerization with PAA. Secondly, the resonant frequency response of the PAA-modified QCM was investigated by varying the pH values. The result shows an interesting oscillation property change nearby pH 5.5, and a possible mechanism for the change is proposed considering the oscillation properties of quartz crystal and the physical properties of PAA. Finally, a polymer film complex of PAA/collagen was also used to confirm the proposed mechanism.
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3.
  • Sun, Jielin, et al. (författare)
  • Sequence variants at 22q13 are associated with prostate cancer risk.
  • 2009
  • Ingår i: Cancer research. - 1538-7445. ; 69:1, s. 10-5
  • Tidskriftsartikel (refereegranskat)abstract
    • To search for genetic variants that are associated with prostate cancer risk in the genome, we combined the data from our genome-wide association study (GWAS) in a population-based case-control study in Sweden with publicly available GWAS data from the Cancer Genetic Markers of Susceptibility (CGEMS) study. We limited the cases to those with aggressive disease in an attempt to identify risk variants that are associated with this most clinically relevant form of the disease. Among the most likely candidate single nucleotide polymorphisms (SNP) identified from the two GWAS, we sequentially confirmed one SNP at 22q13 in two independent study populations: the remaining subjects in Cancer of the Prostate in Sweden and a hospital-based case-control study at Johns Hopkins Hospital. Association of aggressive prostate cancer with the SNP at 22q13 was also observed in the publicly available data of four additional study populations from the second stage of the CGEMS study. In all seven study populations examined, the frequency of allele "C" of rs9623117 at 22q13 was consistently higher in aggressive cases than in controls. The combined allelic test was highly significant, with P = 5.0 x 10(-7). The odds ratio (OR) of allele C for aggressive prostate cancer was estimated to be 1.18 [95% confidence interval (95% CI), 1.11-1.26]. However, the SNP was also associated with nonaggressive prostate cancer, with an estimated OR of 1.11 (95% CI, 1.04-1.19; P = 0.004). The risk-associated variants are located within the genomic region of TNRC6B, a gene involved in miRNA-mediated mRNA degradation. Additional studies are warranted to further confirm the association.
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4.
  • Zheng, S. Lilly, et al. (författare)
  • Two independent prostate cancer risk-associated Loci at 11q13
  • 2009
  • Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - 1055-9965 .- 1538-7755. ; 18:6, s. 1815-1820
  • Tidskriftsartikel (refereegranskat)abstract
    • Single nucleotide polymorphisms (SNP) at 11q13 were recently implicated in prostate cancer risk by two genome-wide association studies and were consistently replicated in multiple study populations. To explore prostate cancer association in the regions flanking these SNPs, we genotyped 31 tagging SNPs in a approximately 110 kb region at 11q13 in a Swedish case-control study (Cancer of the Prostate in Sweden), including 2,899 cases and 1,722 controls. We found evidence of prostate cancer association for the previously implicated SNPs including rs10896449, which we termed locus 1. In addition, multiple SNPs on the centromeric side of the region, including rs12418451, were also significantly associated with prostate cancer risk (termed locus 2). The two groups of SNPs were separated by a recombination hotspot. We then evaluated these two representative SNPs in an additional approximately 4,000 cases and approximately 3,000 controls from three study populations and confirmed both loci at 11q13. In the combined allelic test of all four populations, P = 4.0 x 10(-11) for rs10896449 at locus 1 and P = 1.2 x 10(-6) for rs12418451 at locus 2, and both remained significant after adjusting for the other locus and study population. The prostate cancer association at these two 11q13 loci was unlikely confounded by prostate-specific antigen (PSA) detection bias because neither SNP was associated with PSA levels in controls. Unlike locus 1, in which no known gene is located, several putative mRNAs are in close proximity to locus 2. Additional confirmation studies at locus 2 and functional studies for both loci are needed to advance our knowledge on the etiology of prostate cancer.
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