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Sökning: WFRF:(McKay James D)

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61.
  • Johansson, Mattias, et al. (författare)
  • Genetic variation in the SST gene and its receptors in relation to circulating levels of insulin-like growth factor-I, IGFBP3, and prostate cancer risk
  • 2009
  • Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - 1055-9965. ; 18:5, s. 1644-1650
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Somatostatin (SST) and its receptors (SSTR1-5) may have a role in prostate cancer by influencing the IGFI hormone axis or through direct effects on prostate epithelia. We have investigated if genetic variation in the SST and SSTR1-5 genes influences prostate cancer risk and/or circulating IGFI and IGFBP3 hormone levels. MATERIALS AND METHODS: We analyzed 28 haplotype tagging single nucleotide polymorphisms in the SST and SSTR1-5 genes in a case-control/genetic association study to investigate the association between genetic variation and prostate cancer risk. The study included 2863 cases and 1737 controls from the Cancer Prostate in Sweden (CAPS) study. To investigate the genetic influence on circulating hormone levels, plasma concentrations of IGFI and IGFBP3 were analyzed in 874 controls of the CAPS study and 550 male subjects from the Northern Sweden Health and Disease Cohort (NSHDC). RESULTS: No clear association between prostate cancer risk and genetic variation of the SST and SSTR1-5 genes was identified. The SSTR5 missense single nucleotide polymorphism rs4988483 was associated with circulating IGFI (P = 0.002) and IGFBP3 (P = 0.0003) hormone levels in CAPS controls, with a per allele decrease of approximately 11%. This decrease was replicated in NSHDC for circulating IGFBP3 (P = 0.01) but not for IGFI (P = 0.09). Combining CAPS and NSHDC subjects indicated evidence of association between rs4988483 and both IGFBP3 (P = 2 x 10(-5)) and IGFI (P = 0.0004) hormone levels. CONCLUSIONS: Our results suggest that genetic variation in the SSTR5 gene and, particularly, the rs4988483 single nucleotide polymorphism influence circulating IGFI and IGFBP3 hormone levels with no measurable effect on prostate cancer risk. (Cancer Epidemiol Biomarkers Prev 2009;18(5):1644-50).
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62.
  • Johansson, Mattias, et al. (författare)
  • Implications for prostate cancer of insulin-like growth factor-I (IGF-I) genetic variation and circulating IGF-I levels.
  • 2007
  • Ingår i: Journal of Clinical Endocrinology and Metabolism. - 0021-972X. ; 92:12, s. 4820-4826
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Elevated levels of circulating IGF-I have consistently been associated with increased prostate cancer risk. We recently found a haplotype in the 3' region of the IGF-I gene associated with increased risk of prostate cancer, and we hypothesized that the observed association is mediated by circulating IGF-I. MATERIALS AND METHODS: We analyzed haplotypes and three haplotype-tagging single nucleotide polymorphisms (htSNPs) in the 3' region of the IGF-I gene in relation to circulating levels IGF-I in 698 control subjects from the CAncer Prostate in Sweden (CAPS) study and 575 cases and controls from the prospective Northern Sweden Health and Disease Cohort (NSHDC) study. We also performed a meta-analysis of these two and four other association studies on genetic variation in the 3' region of the IGF-I gene in relation to circulating IGF-I levels. RESULTS: The IGF-I haplotype previously associated with prostate cancer risk, labeled "TCC," was associated with elevated levels of IGF-I in the CAPS study (P = 0.02), but not in the NSHDC study. In contrast, two of the three IGF-I htSNPs tagging this haplotype, rs6220 and rs7136446, were associated with elevated levels of IGF-I in the NSHDC (P = 0.03 and P = 0.04, respectively), but not in the CAPS study. In the meta-analysis, the TCC haplotype and the rs6220 SNP were associated with elevated levels of circulating IGF-I (P = 0.001 and P < 0.0001, respectively). CONCLUSIONS: Genetic variation in the 3' region of the IGF-I gene seems to influence circulating levels of IGF-I. This observation is consistent with the hypothesis that variation in the IGF-I gene plays a role in prostate cancer susceptibility by influencing circulating levels of IGF-I.
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63.
  • Johnson, Nichola, et al. (författare)
  • Genetic variation at CYP3A is associated with age at menarche and breast cancer risk: a case-control study
  • 2014
  • Ingår i: Breast Cancer Research. - BioMed Central. - 1465-5411. ; 16:R51, s. 1-13
  • Tidskriftsartikel (refereegranskat)abstract
    • Introduction: We have previously shown that a tag single nucleotide polymorphism (rs10235235), which maps to the CYP3A locus (7q22.1), was associated with a reduction in premenopausal urinary estrone glucuronide levels and a modest reduction in risk of breast cancer in women age <= 50 years. Methods: We further investigated the association of rs10235235 with breast cancer risk in a large case control study of 47,346 cases and 47,570 controls from 52 studies participating in the Breast Cancer Association Consortium. Genotyping of rs10235235 was conducted using a custom Illumina Infinium array. Stratified analyses were conducted to determine whether this association was modified by age at diagnosis, ethnicity, age at menarche or tumor characteristics. Results: We confirmed the association of rs10235235 with breast cancer risk for women of European ancestry but found no evidence that this association differed with age at diagnosis. Heterozygote and homozygote odds ratios (ORs) were OR = 0.98 (95% CI 0.94, 1.01; P = 0.2) and OR = 0.80 (95% CI 0.69, 0.93; P = 0.004), respectively (P-trend = 0.02). There was no evidence of effect modification by tumor characteristics. rs10235235 was, however, associated with age at menarche in controls (P-trend = 0.005) but not cases (P-trend = 0.97). Consequently the association between rs10235235 and breast cancer risk differed according to age at menarche (P-het = 0.02); the rare allele of rs10235235 was associated with a reduction in breast cancer risk for women who had their menarche age >= 15 years (ORhet = 0.84, 95% CI 0.75, 0.94; ORhom = 0.81, 95% CI 0.51, 1.30; P-trend = 0.002) but not for those who had their menarche age <= 11 years (ORhet = 1.06, 95% CI 0.95, 1.19, ORhom = 1.07, 95% CI 0.67, 1.72; P-trend = 0.29). Conclusions: To our knowledge rs10235235 is the first single nucleotide polymorphism to be associated with both breast cancer risk and age at menarche consistent with the well-documented association between later age at menarche and a reduction in breast cancer risk. These associations are likely mediated via an effect on circulating hormone levels.
64.
  • Li, Yafang, et al. (författare)
  • Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population
  • 2018
  • Ingår i: Carcinogenesis. - Oxford University Press. - 0143-3334. ; 39:3, s. 336-346
  • Tidskriftsartikel (refereegranskat)abstract
    • Non-small cell lung cancer is the most common type of lung cancer. Both environmental and genetic risk factors contribute to lung carcinogenesis. We conducted a genome-wide interaction analysis between single nucleotide polymorphisms (SNPs) and smoking status (never- versus ever-smokers) in a European-descent population. We adopted a two-step analysis strategy in the discovery stage: we first conducted a case-only interaction analysis to assess the relationship between SNPs and smoking behavior using 13 336 non-small cell lung cancer cases. Candidate SNPs with P-value <0.001 were further analyzed using a standard case-control interaction analysis including 13 970 controls. The significant SNPs with P-value <3.5 × 10-5 (correcting for multiple tests) from the case-control analysis in the discovery stage were further validated using an independent replication dataset comprising 5377 controls and 3054 non-small cell lung cancer cases. We further stratified the analysis by histological subtypes. Two novel SNPs, rs6441286 and rs17723637, were identified for overall lung cancer risk. The interaction odds ratio and meta-analysis P-value for these two SNPs were 1.24 with 6.96 × 10-7 and 1.37 with 3.49 × 10-7, respectively. In addition, interaction of smoking with rs4751674 was identified in squamous cell lung carcinoma with an odds ratio of 0.58 and P-value of 8.12 × 10-7. This study is by far the largest genome-wide SNP-smoking interaction analysis reported for lung cancer. The three identified novel SNPs provide potential candidate biomarkers for lung cancer risk screening and intervention. The results from our study reinforce that gene-smoking interactions play important roles in the etiology of lung cancer and account for part of the missing heritability of this disease.
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65.
  • Martinez, Gregory D., et al. (författare)
  • Comparison of statistical sampling methods with ScannerBit, the GAMBIT scanning module
  • 2017
  • Ingår i: European Physical Journal C. - 1434-6044. ; 77:11
  • Tidskriftsartikel (refereegranskat)abstract
    • We introduce ScannerBit, the statistics and sampling module of the public, open-source global fitting framework GAMBIT. ScannerBit provides a standardised interface to different sampling algorithms, enabling the use and comparison of multiple computational methods for inferring profile likelihoods, Bayesian posteriors, and other statistical quantities. The current version offers random, grid, raster, nested sampling, differential evolution, Markov Chain Monte Carlo (MCMC) and ensemble Monte Carlo samplers. We also announce the release of a new standalone differential evolution sampler, Diver, and describe its design, usage and interface to ScannerBit. We subject Diver and three other samplers (the nested sampler MultiNest, the MCMC GreAT, and the native ScannerBit implementation of the ensemble Monte Carlo algorithm T-Walk) to a battery of statistical tests. For this we use a realistic physical likelihood function, based on the scalar singlet model of dark matter. We examine the performance of each sampler as a function of its adjustable settings, and the dimensionality of the sampling problem. We evaluate performance on four metrics: optimality of the best fit found, completeness in exploring the best-fit region, number of likelihood evaluations, and total runtime. For Bayesian posterior estimation at high resolution, T-Walk provides the most accurate and timely mapping of the full parameter space. For profile likelihood analysis in less than about ten dimensions, we find that Diver and MultiNest score similarly in terms of best fit and speed, outperforming GreAT and T-Walk; in ten or more dimensions, Diver substantially outperforms the other three samplers on all metrics.
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66.
  • McKay, James D, et al. (författare)
  • Haplotype-based analysis of common variation in the growth hormone receptor gene and prostate cancer risk
  • 2007
  • Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - 1055-9965. ; 16:1, s. 169-173
  • Tidskriftsartikel (refereegranskat)abstract
    • The growth hormone receptor (GHR) is potentially involved in prostate cancer through its role in stimulating insulin-like growth factor I production and its cellular effects on prostate epithelium. We have used a haplotype-based tagging approach within CAncer Prostate Sweden, a large retrospective case-control study of 2,863 cases and 1,737 controls to investigate if genetic variation in the GHR gene influences prostate cancer risk. One haplotype in the 3' region of the GHR gene was found associated with prostate cancer risk in elderly men (&gt;65 years old at the time of diagnosis), with heterozygote haplotype carriers having an odds ratio of 1.65 (95% confidence interval, 1.21-2.16; P = 0.0009, Pcorrected = 0.03). GHR function has been implicated in the determination of body mass index. Interestingly, the same haplotype associated with risk in the 3' end of the GHR gene was also associated with a decrease in body mass index in controls (P = 0.003, Pcorrected = 0.05), possibly indicating some functionality with this haplotype. These results suggest that whereas genetic variation in the GHR gene does not seem to play a major role in prostate cancer etiology, one haplotype in the 3' region may be potentially relevant to cases with later onset of prostate cancer.
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67.
  • McKay, James D., et al. (författare)
  • Lung cancer susceptibility locus at 5p15.33
  • 2008
  • Ingår i: Nature Genetics. - 1061-4036 .- 1546-1718. ; 40:12, s. 1404-1406
  • Tidskriftsartikel (refereegranskat)abstract
    • We carried out a genome-wide association study of lung cancer (3,259 cases and 4,159 controls), followed by replication in 2,899 cases and 5,573 controls. Two uncorrelated disease markers at 5p15.33, rs402710 and rs2736100 were detected by the genome-wide data (P - 2 x 10(-7) and P = 4 x 10(-6)) and replicated by the independent study series (P = 7 x 10(-5) and P = 0.016). The susceptibility region contains two genes, TERT and CLPTM1L, suggesting that one or both may have a role in lung cancer etiology.
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68.
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69.
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70.
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