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Search: WFRF:(Kataja Vesa)

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11.
  • Mavaddat, Nasim, et al. (author)
  • Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants
  • 2015
  • In: Journal of the National Cancer Institute. - : Oxford University Press (OUP). - 1460-2105 .- 0027-8874. ; 107:5, s. 036-036
  • Journal article (peer-reviewed)abstract
    • Background: Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. However, empirical evidence for genetic risk stratification is lacking. Methods: We investigated the value of using 77 breast cancer-associated single nucleotide polymorphisms (SNPs) for risk stratification, in a study of 33 673 breast cancer cases and 33 381 control women of European origin. We tested all possible pair-wise multiplicative interactions and constructed a 77-SNP polygenic risk score (PRS) for breast cancer overall and by estrogen receptor (ER) status. Absolute risks of breast cancer by PRS were derived from relative risk estimates and UK incidence and mortality rates. Results: There was no strong evidence for departure from a multiplicative model for any SNP pair. Women in the highest 1% of the PRS had a three-fold increased risk of developing breast cancer compared with women in the middle quintile (odds ratio [OR] = 3.36, 95% confidence interval [CI] = 2.95 to 3.83). The ORs for ER-positive and ER-negative disease were 3.73 (95% CI = 3.24 to 4.30) and 2.80 (95% CI = 2.26 to 3.46), respectively. Lifetime risk of breast cancer for women in the lowest and highest quintiles of the PRS were 5.2% and 16.6% for a woman without family history, and 8.6% and 24.4% for a woman with a first-degree family history of breast cancer. Conclusions: The PRS stratifies breast cancer risk in women both with and without a family history of breast cancer. The observed level of risk discrimination could inform targeted screening and prevention strategies. Further discrimination may be achievable through combining the PRS with lifestyle/environmental factors, although these were not considered in this report.
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12.
  • Simen-Kapeu, Aline, et al. (author)
  • Smoking impairs human papillomavirus (HPV) type 16 and 18 capsids antibody response following natural HPV infection
  • 2008
  • In: Scandinavian Journal of Infectious Diseases. - : Informa UK Limited. - 1651-1980 .- 0036-5548. ; 40:9, s. 745-751
  • Journal article (peer-reviewed)abstract
    • The natural history of oncogenic human papillomavirus (HPV) infections results from interactions of the virus, the host, and multiple cofactors. We studied the association between humoral immune response to HPV and smoking in 191 HPV infected women prospectively. Two follow-up samples (first and last) were analysed for serum cotinine levels, IgA and IgG antibodies to HPV16 and 18, and Chlamydia trachomatis using ELISA methods. HPV DNA analyses were also performed, and HPV16/18 antibodies were detectable in 23 of 40 (57.5%) HPV DNA-positive women. We performed age-stratified analyses and found that young smokers were less likely to develop HPV16/18 antibodies than non-smokers (OR: 0.2, 95% CI 0.0-0.9). Furthermore, they had a significantly decreased tendency of maintaining constant HPV16/18 IgG antibody positivity by the end of the follow-up (OR: 0.1, 95% CI 0.0-0.8). Smoking did not affect the development of HPV antibody responses in women over 30 y of age. Our results suggest that smoking may induce impaired antibody response in HPV16/18-infected young women.
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  • Result 11-12 of 12

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