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- Gentiluomo, Manuel, et al.
(författare)
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Mitochondrial DNA Copy-Number Variation and Pancreatic Cancer Risk in the Prospective EPIC Cohort
- 2020
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Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - Philadelphia : American Association for Cancer Research. - 1055-9965 .- 1538-7755. ; 29:3, s. 681-686
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Tidskriftsartikel (refereegranskat)abstract
- Background: Mitochondrial DNA (mtDNA) copy number in peripheral blood has been found to be sociated with risk of developing several cancers. However, data on pancreatic ductal adenocarcinoma DAC) are very limited.Methods: To further our knowledge on this topic, we measured relative mtDNA copy number by a antitative real-time PCR assay in peripheral leukocyte samples of 476PDACcases and 357 controls sted within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.Results: We observed lower mtDNA copy number with advancing age (P = 6.54 x 10(-5)) and with a high dy mass index (BMI) level (P = 0.004) and no association with sex, smoking behavior, and alcohol nsumption. We found an association between increased mtDNA copy number and decreased risk of veloping PDAC with an odds ratios (OR) of 0.35 [95% confidence interval (CI), 0.160.79; P = 0.01] when mparing the fifth quintile with the first using an unconditional logistic regression and an OR of 0.19 5% CI, 0.07-0.52; P = 0.001) with a conditional analysis. Analyses stratified by BMI showed an sociation between high mtDNA copy number and decreased risk in the stratum of normal weight, nsistent with the main analyses.Conclusions: Our results suggest a protective effect of a higher number of mitochondria, measured in ripheral blood leukocytes, on PDAC risk.Impact: Our findings highlight the importance of understanding the mitochondrial biology in pancreatic ncer.
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| 2. |
- Kapoor, Pooja Middha, et al.
(författare)
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Combined associations of a polygenic risk score and classical risk factors with breast cancer risk
- 2021
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Ingår i: Journal of the National Cancer Institute. - : Oxford University Press (OUP). - 0027-8874 .- 1460-2105. ; 113:3, s. 329-337
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Tidskriftsartikel (refereegranskat)abstract
- We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.
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| 3. |
- Yang, Yaohua, et al.
(författare)
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Genetically Predicted Levels of DNA Methylation Biomarkers and Breast Cancer Risk : Data From 228 951 Women of European Descent
- 2020
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Ingår i: Journal of the National Cancer Institute. - : Oxford University Press (OUP). - 1460-2105 .- 0027-8874. ; 112:3, s. 295-304
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: DNA methylation plays a critical role in breast cancer development. Previous studies have identified DNA methylation marks in white blood cells as promising biomarkers for breast cancer. However, these studies were limited by low statistical power and potential biases. Using a new methodology, we investigated DNA methylation marks for their associations with breast cancer risk. METHODS: Statistical models were built to predict levels of DNA methylation marks using genetic data and DNA methylation data from HumanMethylation450 BeadChip from the Framingham Heart Study (n = 1595). The prediction models were validated using data from the Women's Health Initiative (n = 883). We applied these models to genomewide association study (GWAS) data of 122 977 breast cancer patients and 105 974 controls to evaluate if the genetically predicted DNA methylation levels at CpG sites (CpGs) are associated with breast cancer risk. All statistical tests were two-sided. RESULTS: Of the 62 938 CpG sites CpGs investigated, statistically significant associations with breast cancer risk were observed for 450 CpGs at a Bonferroni-corrected threshold of P less than 7.94 × 10-7, including 45 CpGs residing in 18 genomic regions, that have not previously been associated with breast cancer risk. Of the remaining 405 CpGs located within 500 kilobase flaking regions of 70 GWAS-identified breast cancer risk variants, the associations for 11 CpGs were independent of GWAS-identified variants. Integrative analyses of genetic, DNA methylation, and gene expression data found that 38 CpGs may affect breast cancer risk through regulating expression of 21 genes. CONCLUSION: Our new methodology can identify novel DNA methylation biomarkers for breast cancer risk and can be applied to other diseases.
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