29 results on '"Onland-Moret, C"'
Search Results
2. SEROLOGIC MARKERS OF CHLAMYDIA TRACHOMATIS AND OTHER SEXUALLY TRANSMITTED INFECTIONS AND SUBSEQUENT OVARIAN CANCER RISK: RESULTS FROM THE EPIC COHORT: EP874
- Author
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Idahl, A, Le Cornet, C, Maldonado, González S, Waterboer, T, Bender, N, Tjønneland, A, Hansen, L, Boutron-Ruault, M-C, Fournier, A, Kvaskoff, M, Boeing, H, Trichopoulou, A, Valanou, E, Peppa, E, Palli, D, Agnoli, C, Mattiello, A, Tumino, R, Sacerdote, C, Onland-Moret, C, Gram, I T, Weiderpass, E, Quirós, J R, Duell, E J, Sánchez, M-J, Chirlaque, M-D, Barricarte, A, Gil, L, Brändstedt, J, Riesbeck, K, Lundin, E, Khaw, K-T, Perez-Cornago, A, Gunter, M, Dossus, L, Kaaks, R, and Fortner, Turzanski R
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- 2019
- Full Text
- View/download PDF
3. Association of leukocyte DNA methylation changes with dietary folate and alcohol intake in the EPIC study
- Author
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Perrier, F., Viallon, V., Ambatipudi, S., Ghantous, A., Cuenin, C., Hernandez-Vargas, H., Chajès, V., Baglietto, L., Matejcic, M., Moreno-Macias, H., Kühn, T., Boeing, H., Karakatsani, A., Kotanidou, A., Trichopoulou, A., Sieri, S., Panico, S., Fasanelli, F., Dolle, M., Onland-Moret, C., Sluijs, I., Weiderpass, E., Quirós, J. R., Agudo, A., Huerta, J. M., Ardanaz, E., Dorronsoro, M., Tong, T. Y. N., Tsilidis, K., Riboli, E., Gunter, M. J., Herceg, Z., Ferrari, P., and Romieu, I.
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- 2019
- Full Text
- View/download PDF
4. Circulating prolactin and breast cancer risk among pre- and postmenopausal women in the EPIC cohort
- Author
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Tikk, K., Sookthai, D., Johnson, T., Rinaldi, S., Romieu, I., Tjønneland, A., Olsen, A., Overvad, K., Clavel-Chapelon, F., Baglietto, L., Boeing, H., Trichopoulou, A., Lagiou, P., Trichopoulos, D., Palli, D., Pala, V., Tumino, R., Rosso, S., Panico, S., Agudo, A., Menéndez, V., Sánchez, M.-J., Amiano, P., Huerta Castaño, J.M., Ardanaz, E., Bueno-de-Mesquita, H.B., Monninkhof, E., Onland-Moret, C., Andersson, A., Sund, M., Weiderpass, E., Khaw, K.-T., Key, T.J., Travis, R.C., Gunter, M.J., Riboli, E., Dossus, L., and Kaaks, R.
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- 2014
- Full Text
- View/download PDF
5. A new pipeline for the normalization and pooling of metabolomics data
- Author
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Viallon, V., His, M., Rinaldi, S., Breeur, M., Gicquiau, A., Hemon, B., Overvad, K., Tjønneland, A., Rostgaard-Hansen, A.L., Rothwell, J.A., Lecuyer, L., Severi, G., Kaaks, R., Johnson, T., Schulze, M.B., Palli, D., Agnoli, C., Panico, S., Tumino, R., Ricceri, F., Monique Verschuren, W.M., Engelfriet, P., Onland-Moret, C., Vermeulen, R., Nøst, T.H., Urbarova, I., Zamora-Ros, R., Rodriguez-Barranco, M., Amiano, P., Huerta, J.M., Ardanaz, E., Melander, O., Ottoson, F., Vidman, L., Rentoft, M., Schmidt, J.A., Travis, R.C., Weiderpass, E., Johansson, M., Dossus, L., Jenab, M., Gunter, M.J., Bermejo, J.L., Scherer, D., Salek, R.M., Keski-Rahkonen, P., Ferrari, P., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, and Sub Inorganic Chemistry and Catalysis
- Subjects
Normalization (statistics) ,Pooling ,Computer science ,Pipeline (computing) ,Endocrinology, Diabetes and Metabolism ,computer.software_genre ,Microbiology ,Biochemistry ,Generalized linear mixed model ,Statistical power ,Article ,03 medical and health sciences ,Endocrinology ,0302 clinical medicine ,Cancer epidemiology ,Metabolites ,Metabolomics ,Imputation (statistics) ,Càncer ,Molecular Biology ,030304 developmental biology ,Cancer ,0303 health sciences ,Cancer och onkologi ,Bioinformatics (Computational Biology) ,Normalization ,Technical variability ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,Missing data ,QR1-502 ,3. Good health ,Diabetes and Metabolism ,Metabolòmica ,030220 oncology & carcinogenesis ,Cancer and Oncology ,Outlier ,Bioinformatik (beräkningsbiologi) ,Data mining ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,computer - Abstract
Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Specifically, different studies may use variable sample types (e.g., serum versus plasma) collected, treated, and stored according to different protocols, and assayed in different laboratories using different instruments. To address these issues, a new pipeline was developed to normalize and pool metabolomics data through a set of sequential steps: (i) exclusions of the least informative observations and metabolites and removal of outliers, imputation of missing data, (ii) identification of the main sources of variability through principal component partial R-square (PC-PR2) analysis, (iii) application of linear mixed models to remove unwanted variability, including samples’ originating study and batch, and preserve biological variations while accounting for potential differences in the residual variances across studies. This pipeline was applied to targeted metabolomics data acquired using Biocrates AbsoluteIDQ kits in eight case-control studies nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Comprehensive examination of metabolomics measurements indicated that the pipeline improved the comparability of data across the studies. Our pipeline can be adapted to normalize other molecular data, including biomarkers as well as proteomics data, and could be used for pooling molecular datasets, for example in international consortia, to limit biases introduced by inter-study variability. This versatility of the pipeline makes our work of potential interest to molecular epidemiologists.
- Published
- 2021
6. A New Pipeline for the Normalization and Pooling of Metabolomics Data
- Author
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IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Sub Inorganic Chemistry and Catalysis, Viallon, V., His, M., Rinaldi, S., Breeur, M., Gicquiau, A., Hemon, B., Overvad, K., Tjønneland, A., Rostgaard-Hansen, A.L., Rothwell, J.A., Lecuyer, L., Severi, G., Kaaks, R., Johnson, T., Schulze, M.B., Palli, D., Agnoli, C., Panico, S., Tumino, R., Ricceri, F., Monique Verschuren, W.M., Engelfriet, P., Onland-Moret, C., Vermeulen, R., Nøst, T.H., Urbarova, I., Zamora-Ros, R., Rodriguez-Barranco, M., Amiano, P., Huerta, J.M., Ardanaz, E., Melander, O., Ottoson, F., Vidman, L., Rentoft, M., Schmidt, J.A., Travis, R.C., Weiderpass, E., Johansson, M., Dossus, L., Jenab, M., Gunter, M.J., Bermejo, J.L., Scherer, D., Salek, R.M., Keski-Rahkonen, P., Ferrari, P., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Sub Inorganic Chemistry and Catalysis, Viallon, V., His, M., Rinaldi, S., Breeur, M., Gicquiau, A., Hemon, B., Overvad, K., Tjønneland, A., Rostgaard-Hansen, A.L., Rothwell, J.A., Lecuyer, L., Severi, G., Kaaks, R., Johnson, T., Schulze, M.B., Palli, D., Agnoli, C., Panico, S., Tumino, R., Ricceri, F., Monique Verschuren, W.M., Engelfriet, P., Onland-Moret, C., Vermeulen, R., Nøst, T.H., Urbarova, I., Zamora-Ros, R., Rodriguez-Barranco, M., Amiano, P., Huerta, J.M., Ardanaz, E., Melander, O., Ottoson, F., Vidman, L., Rentoft, M., Schmidt, J.A., Travis, R.C., Weiderpass, E., Johansson, M., Dossus, L., Jenab, M., Gunter, M.J., Bermejo, J.L., Scherer, D., Salek, R.M., Keski-Rahkonen, P., and Ferrari, P.
- Published
- 2021
7. A New Pipeline for the Normalization and Pooling of Metabolomics Data
- Author
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Viallon, V, His, M, Rinaldi, S, Breeur, M, Gicquiau, A, Hemon, B, Overvad, K, Tjonneland, A, Rostgaard-Hansen, AL, Rothwell, JA, Lecuyer, L, Severi, G, Kaaks, R, Johnson, T, Schulze, MB, Palli, D, Agnoli, C, Panico, S, Tumino, R, Ricceri, F, Verschuren, WMM, Engelfriet, P, Onland-Moret, C, Vermeulen, R, Nost, TH, Urbarova, I, Zamora-Ros, R, Rodriguez-Barranco, M, Amiano, P, Huerta, JM, Ardanaz, E, Melander, O, Ottoson, F, Vidman, L, Rentoft, M, Schmidt, JA, Travis, RC, Weiderpass, E, Johansson, M, Dossus, L, Jenab, M, Gunter, MJ, Bermejo, JL, Scherer, D, Salek, RM, Keski-Rahkonen, P, Ferrari, P, Viallon, V, His, M, Rinaldi, S, Breeur, M, Gicquiau, A, Hemon, B, Overvad, K, Tjonneland, A, Rostgaard-Hansen, AL, Rothwell, JA, Lecuyer, L, Severi, G, Kaaks, R, Johnson, T, Schulze, MB, Palli, D, Agnoli, C, Panico, S, Tumino, R, Ricceri, F, Verschuren, WMM, Engelfriet, P, Onland-Moret, C, Vermeulen, R, Nost, TH, Urbarova, I, Zamora-Ros, R, Rodriguez-Barranco, M, Amiano, P, Huerta, JM, Ardanaz, E, Melander, O, Ottoson, F, Vidman, L, Rentoft, M, Schmidt, JA, Travis, RC, Weiderpass, E, Johansson, M, Dossus, L, Jenab, M, Gunter, MJ, Bermejo, JL, Scherer, D, Salek, RM, Keski-Rahkonen, P, and Ferrari, P
- Abstract
Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Specifically, different studies may use variable sample types (e.g., serum versus plasma) collected, treated, and stored according to different protocols, and assayed in different laboratories using different instruments. To address these issues, a new pipeline was developed to normalize and pool metabolomics data through a set of sequential steps: (i) exclusions of the least informative observations and metabolites and removal of outliers; imputation of missing data; (ii) identification of the main sources of variability through principal component partial R-square (PC-PR2) analysis; (iii) application of linear mixed models to remove unwanted variability, including samples' originating study and batch, and preserve biological variations while accounting for potential differences in the residual variances across studies. This pipeline was applied to targeted metabolomics data acquired using Biocrates AbsoluteIDQ kits in eight case-control studies nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Comprehensive examination of metabolomics measurements indicated that the pipeline improved the comparability of data across the studies. Our pipeline can be adapted to normalize other molecular data, including biomarkers as well as proteomics data, and could be used for pooling molecular datasets, for example in international consortia, to limit biases introduced by inter-study variability. This versatility of the pipeline makes our work of potential interest to molecular epidemiologists.
- Published
- 2021
8. Mediation analysis of the alcohol-postmenopausal breast cancer relationship by sex hormones in the EPIC cohort
- Author
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Assi, N, Rinaldi, S, Viallon, V, Dashti, SG, Dossus, L, Fournier, A, Cervenka, I, Kvaskoff, M, Turzanski-Fortner, R, Bergmann, M, Boeing, H, Panico, S, Ricceri, F, Palli, D, Tumino, R, Grioni, S, Sanchez Perez, MJ, Chirlaque, M-D, Bonet, C, Barricarte Gurrea, A, Amiano Etxezarreta, P, Merino, S, de Mesquita, HBB, van Gils, CH, Onland-Moret, C, Tjonneland, A, Overvad, K, Trichopoulou, A, Martimianaki, G, Karakatsani, A, Key, T, Christakoudi, S, Ellingjord-Dale, M, Tsilidis, K, Riboli, E, Kaaks, R, Gunter, MJ, Ferrari, P, Assi, N, Rinaldi, S, Viallon, V, Dashti, SG, Dossus, L, Fournier, A, Cervenka, I, Kvaskoff, M, Turzanski-Fortner, R, Bergmann, M, Boeing, H, Panico, S, Ricceri, F, Palli, D, Tumino, R, Grioni, S, Sanchez Perez, MJ, Chirlaque, M-D, Bonet, C, Barricarte Gurrea, A, Amiano Etxezarreta, P, Merino, S, de Mesquita, HBB, van Gils, CH, Onland-Moret, C, Tjonneland, A, Overvad, K, Trichopoulou, A, Martimianaki, G, Karakatsani, A, Key, T, Christakoudi, S, Ellingjord-Dale, M, Tsilidis, K, Riboli, E, Kaaks, R, Gunter, MJ, and Ferrari, P
- Abstract
Alcohol consumption is associated with higher risk of breast cancer (BC); however, the biological mechanisms underlying this association are not fully elucidated, particularly the extent to which this relationship is mediated by sex hormone levels. Circulating concentrations of estradiol, testosterone, their free fractions and sex-hormone binding globulin (SHBG), were examined in 430 incident BC cases and 645 matched controls among alcohol-consuming postmenopausal women nested within the European Prospective Investigation into Cancer and Nutrition. Mediation analysis was applied to assess whether individual hormone levels mediated the relationship between alcohol intake and BC risk. An alcohol-related hormonal signature, obtained by partial least square (PLS) regression, was evaluated as a potential mediator. Total (TE), natural direct and natural indirect effects (NIE) were estimated. Alcohol intake was positively associated with overall BC risk and specifically with estrogen receptor-positive tumors with respectively TE = 1.17(95%CI: 1.01,1.35) and 1.36(1.08,1.70) for a 1-standard deviation (1-SD) increase of intake. There was no evidence of mediation by sex steroids or SHBG separately except for a weak indirect effect through free estradiol where NIE = 1.03(1.00,1.06). However, an alcohol-related hormonal signature negatively associated with SHBG and positively with estradiol and testosterone was associated with BC risk (odds ratio [OR] = 1.25 [1.07,1.47]) for a 1-SD higher PLS score, and had a statistically significant NIE accounting for a mediated proportion of 24%. There was limited evidence of mediation of the alcohol-BC association by individual sex hormones. However, a hormonal signature, reflecting lower levels of SHBG and higher levels of sex steroids, mediated a substantial proportion of the association.
- Published
- 2020
9. Association of leukocyte DNA methylation changes with dietary folate and alcohol intake in the EPIC study
- Author
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Perrier, F. Viallon, V. Ambatipudi, S. Ghantous, A. Cuenin, C. Hernandez-Vargas, H. Chajès, V. Baglietto, L. Matejcic, M. Moreno-Macias, H. Kühn, T. Boeing, H. Karakatsani, A. Kotanidou, A. Trichopoulou, A. Sieri, S. Panico, S. Fasanelli, F. Dolle, M. Onland-Moret, C. Sluijs, I. Weiderpass, E. Quirós, J.R. Agudo, A. Huerta, J.M. Ardanaz, E. Dorronsoro, M. Tong, T.Y.N. Tsilidis, K. Riboli, E. Gunter, M.J. Herceg, Z. Ferrari, P. Romieu, I.
- Abstract
Background: There is increasing evidence that folate, an important component of one-carbon metabolism, modulates the epigenome. Alcohol, which can disrupt folate absorption, is also known to affect the epigenome. We investigated the association of dietary folate and alcohol intake on leukocyte DNA methylation levels in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Leukocyte genome-wide DNA methylation profiles on approximately 450,000 CpG sites were acquired with Illumina HumanMethylation 450K BeadChip measured among 450 women control participants of a case-control study on breast cancer nested within the EPIC cohort. After data preprocessing using surrogate variable analysis to reduce systematic variation, associations of DNA methylation with dietary folate and alcohol intake, assessed with dietary questionnaires, were investigated using CpG site-specific linear models. Specific regions of the methylome were explored using differentially methylated region (DMR) analysis and fused lasso (FL) regressions. The DMR analysis combined results from the feature-specific analysis for a specific chromosome and using distances between features as weights whereas FL regression combined two penalties to encourage sparsity of single features and the difference between two consecutive features. Results: After correction for multiple testing, intake of dietary folate was not associated with methylation level at any DNA methylation site, while weak associations were observed between alcohol intake and methylation level at CpG sites cg03199996 and cg07382687, with q val = 0.029 and q val = 0.048, respectively. Interestingly, the DMR analysis revealed a total of 24 and 90 regions associated with dietary folate and alcohol, respectively. For alcohol intake, 6 of the 15 most significant DMRs were identified through FL. Conclusions: Alcohol intake was associated with methylation levels at two CpG sites. Evidence from DMR and FL analyses indicated that dietary folate and alcohol intake may be associated with genomic regions with tumor suppressor activity such as the GSDMD and HOXA5 genes. These results were in line with the hypothesis that epigenetic mechanisms play a role in the association between folate and alcohol, although further studies are warranted to clarify the importance of these mechanisms in cancer. © 2019 The Author(s).
- Published
- 2019
10. Serologic markers of Chlamydia trachomatis and other sexually transmitted infections and subsequent ovarian cancer risk : results from the EPIC cohort
- Author
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Idahl, Annika, Le Cornet, C., Maldonado, S. González, Waterboer, T., Bender, N., Tjønneland, A., Hansen, L., Boutron-Ruault, M-C, Fournier, A., Kvaskoff, M., Boeing, H., Trichopoulou, A., Valanou, E., Peppa, E., Palli, D., Agnoli, C., Mattiello, A., Tumino, R., Sacerdote, C., Onland-Moret, C., Gram, I. T., Weiderpass, E., Quirós, J. R., Duell, E. J., Sánchez, M-J, Chirlaque, M-D, Barricarte, A., Gil, L., Brändstedt, J., Riesbeck, K., Lundin, Eva, Khaw, K-T, Perez-Cornago, A., Gunter, M., Dossus, L., Kaaks, R., Fortner, R. Turzanski, Idahl, Annika, Le Cornet, C., Maldonado, S. González, Waterboer, T., Bender, N., Tjønneland, A., Hansen, L., Boutron-Ruault, M-C, Fournier, A., Kvaskoff, M., Boeing, H., Trichopoulou, A., Valanou, E., Peppa, E., Palli, D., Agnoli, C., Mattiello, A., Tumino, R., Sacerdote, C., Onland-Moret, C., Gram, I. T., Weiderpass, E., Quirós, J. R., Duell, E. J., Sánchez, M-J, Chirlaque, M-D, Barricarte, A., Gil, L., Brändstedt, J., Riesbeck, K., Lundin, Eva, Khaw, K-T, Perez-Cornago, A., Gunter, M., Dossus, L., Kaaks, R., and Fortner, R. Turzanski
- Abstract
Introduction/Background Sexually transmitted infections (STI) and pelvic inflammatory disease may cause damage to the fallopian tube where a substantial proportion of epithelial ovarian cancer (EOC) likely arises. The aim of this study was to determine whether Chlamydia trachomatis antibodies are associated with higher EOC risk. As secondary objectives, we investigated Mycoplasma genitalium,herpes simplex virus type 2 (HSV-2) and human papillomavirus (HPV) 16, 18 and 45 and EOC risk. Methodology In a nested case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort,791 cases and 1,669 matched controls with pre-diagnosis blood samples were analyzed. Cases and controls were matched on study center, and at blood collection age, time of day, fasting status, exogenous hormone use, menopausal status, and menstrual cycle phase. Antibodies against C. trachomatis, M. genitalium, HSV-2, and HPV 16, 18 and 45 (E6, E7, L1) were assessed using multiplex fluorescent bead-based serology. Conditional logistic regression was used to estimate relative risks (RR) and 95% confidence intervals [CI] comparing women with positive vs. negative serology. Results A total of 40% of the study population was seropositive to at least one STI. Positive serology to C. trachomatis Pgp3 antibodies was not associated with EOC risk overall, but was associated with higher risk of the mucinous histotype (RR=2.56 [95% CI=1.3–5.05]). Positive serology for chlamydia heat shock protein 60 (cHSP60-1), produced during persistent infection, was associated with higher risk of EOC overall (1.33 [1.09–1.62]) and of the serous subtype (1.42 [1.09–1.84]). None of the other evaluated STIs were associated with EOC risk overall; in analyses by histotype, HSV-2 was associated with higher risk of endometrioid EOC (2.93 [1.50–5.74]). Conclusion C. trachomatis infection may influence carcinogenesis of serous and mucinous EOC, while HSV-2 might promote endometrioid disease. Mec, Supplement: 4Meeting Abstract: EP874
- Published
- 2019
- Full Text
- View/download PDF
11. Association of leukocyte DNA methylation changes with dietary folate and alcohol intake in the EPIC study
- Author
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Perrier, F, Viallon, V, Ambatipudi, S, Ghantous, A, Cuenin, C, Hernandez-Vargas, H, Chajes, V, Baglietto, L, Matejcic, M, Moreno-Macias, H, Kuehn, T, Boeing, H, Karakatsani, A, Kotanidou, A, Trichopoulou, A, Sieri, S, Panico, S, Fasanelli, F, Dolle, M, Onland-Moret, C, Sluijs, I, Weiderpass, E, Quiros, JR, Agudo, A, Huerta, JM, Ardanaz, E, Dorronsoro, M, Tong, TYN, Tsilidis, K, Riboli, E, Gunter, MJ, Herceg, Z, Ferrari, P, Romieu, I, Perrier, F, Viallon, V, Ambatipudi, S, Ghantous, A, Cuenin, C, Hernandez-Vargas, H, Chajes, V, Baglietto, L, Matejcic, M, Moreno-Macias, H, Kuehn, T, Boeing, H, Karakatsani, A, Kotanidou, A, Trichopoulou, A, Sieri, S, Panico, S, Fasanelli, F, Dolle, M, Onland-Moret, C, Sluijs, I, Weiderpass, E, Quiros, JR, Agudo, A, Huerta, JM, Ardanaz, E, Dorronsoro, M, Tong, TYN, Tsilidis, K, Riboli, E, Gunter, MJ, Herceg, Z, Ferrari, P, and Romieu, I
- Abstract
BACKGROUND: There is increasing evidence that folate, an important component of one-carbon metabolism, modulates the epigenome. Alcohol, which can disrupt folate absorption, is also known to affect the epigenome. We investigated the association of dietary folate and alcohol intake on leukocyte DNA methylation levels in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Leukocyte genome-wide DNA methylation profiles on approximately 450,000 CpG sites were acquired with Illumina HumanMethylation 450K BeadChip measured among 450 women control participants of a case-control study on breast cancer nested within the EPIC cohort. After data preprocessing using surrogate variable analysis to reduce systematic variation, associations of DNA methylation with dietary folate and alcohol intake, assessed with dietary questionnaires, were investigated using CpG site-specific linear models. Specific regions of the methylome were explored using differentially methylated region (DMR) analysis and fused lasso (FL) regressions. The DMR analysis combined results from the feature-specific analysis for a specific chromosome and using distances between features as weights whereas FL regression combined two penalties to encourage sparsity of single features and the difference between two consecutive features. RESULTS: After correction for multiple testing, intake of dietary folate was not associated with methylation level at any DNA methylation site, while weak associations were observed between alcohol intake and methylation level at CpG sites cg03199996 and cg07382687, with qval = 0.029 and qval = 0.048, respectively. Interestingly, the DMR analysis revealed a total of 24 and 90 regions associated with dietary folate and alcohol, respectively. For alcohol intake, 6 of the 15 most significant DMRs were identified through FL. CONCLUSIONS: Alcohol intake was associated with methylation levels at two CpG sites. Evidence from DMR and FL analyses indicated that diet
- Published
- 2019
12. EP874 Serologic markers ofChlamydia trachomatisand other sexually transmitted infections and subsequent ovarian cancer risk: results from the EPIC cohort
- Author
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Idahl, A, primary, Le Cornet, C, additional, González Maldonado, S, additional, Waterboer, T, additional, Bender, N, additional, Tjønneland, A, additional, Hansen, L, additional, Boutron-Ruault, M-C, additional, Fournier, A, additional, Kvaskoff, M, additional, Boeing, H, additional, Trichopoulou, A, additional, Valanou, E, additional, Peppa, E, additional, Palli, D, additional, Agnoli, C, additional, Mattiello, A, additional, Tumino, R, additional, Sacerdote, C, additional, Onland-Moret, C, additional, Gram, IT, additional, Weiderpass, E, additional, Quirós, JR, additional, Duell, EJ, additional, Sánchez, M-J, additional, Chirlaque, M-D, additional, Barricarte, A, additional, Gil, L, additional, Brändstedt, J, additional, Riesbeck, K, additional, Lundin, E, additional, Khaw, K-T, additional, Perez-Cornago, A, additional, Gunter, M, additional, Dossus, L, additional, Kaaks, R, additional, and Turzanski Fortner, R, additional
- Published
- 2019
- Full Text
- View/download PDF
13. Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases A Mendelian Randomization Study
- Author
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Haycock, PC, Burgess, S, Nounu, A, Zheng, J, Okoli, GN, Bowden, J, Wade, KH, Timpson, NJ, Evans, DM, Willeit, P, Aviv, A, Gaunt, T, Hemani, G, Mangino, M, Ellis, HP, Kurian, KM, Pooley, KA, Eeles, RA, Lee, JE, Fang, SY, Chen, WV, Law, MH, Bowdler, LM, Iles, MM, Yang, Q, Worrall, BB, Markus, HS, Hung, RJ, Amos, CI, Spurdle, AB, Thompson, DJ, O'Mara, TA, Wolpin, B, Amundadottir, L, Stolzenberg-Solomon, R, Trichopoulou, A, Onland-Moret, C, Lund, E, Duell, EJ, Canzian, F, Severi, G, Overvad, K, Gunter, MJ, Tumino, R, Svenson, U, van Rij, A, Baas, AF, Bown, MJ, Samani, NJ, van t'Hof, FNG, Tromp, G, Jones, GT, Kuivaniemi, H, Elmore, JR, Johansson, M, Mckay, J, Scelo, G, Carreras-Torres, R, Gaborieau, V, Brennan, P, Bracci, PM, Neale, RE, Olson, SH, Gallinger, S, Li, DH, Petersen, GM, Risch, HA, Klein, AP, Han, JL, Abnet, CC, Freedman, N D, Taylor, PR, Maris, JM, Aben, KK, Kiemeney, LA, Vermeulen, SH, Wiencke, JK, Walsh, KM, Wrensch, M, Rice, T, Turnbull, C, Litchfield, K, Paternoster, L, Standl, M, Abecasis, GR, SanGiovanni, JP, Li, Y, Mijatovic, V, Sapkota, Y, Low, SK, Zondervan, KT, Montgomery, GW, Nyholt, DR, van Heel, D A, Hunt, K, Arking, DE, Ashar, FN, Sotoodehnia, N, Woo, D, Rosand, J, Comeau, ME, Brown, W M, Silverman, EK, Hokanson, JE, Cho, MH, Hui, J, Ferreira, MA, Thompson, PJ, Morrison, AC, Felix, Janine, Smith, NL, Christiano, AM, Petukhova, L, Betz, RC, Fan, X, Zhang, XJ, Zhu, CH, Langefeld, CD, Thompson, SD, Wang, FJ, Lin, X, Schwartz, DA, Fingerlin, T, Rotter, JI, Cotch, MF, Jensen, RA, Munz, M, Dommisch, H, Schaefer, AS, Han, F, Ollila, HM, Hillary, RP, Albagha, O, Ralston, SH, Zeng, CJ, Zheng, W, Shu, XO, Reis, A, Uebe, S, Huffmeier, U, Kawamura, Y, Otowa, T, Sasaki, T, Hibberd, ML, Davila, S, Xie, G, Siminovitch, K, Bei, JX, Zeng, YX, Forsti, A, Chen, B (Bowang), Landi, S, Franke, A, Fischer, A, Ellinghaus, D, Flores, C, Noth, I, Ma, SF, Foo, JN, Liu, JJ, Kim, JW, Cox, DG, Delattre, O, Mirabeau, O, Skibola, CF, Tang, CS, Garcia-Barcelo, M, Chang, KP, Su, WH, Chang, YS, Martin, NG, Gordon, S, Wade, TD, Lee, C, Kubo, M, Cha, PC, Nakamura, Y, Levy, D, Kimura, M, Hwang, SJ, Hunt, S, Spector, T, Soranzo, N, Manichaikul, A, Barr, G, Kahali, B, Speliotes, E, Yerges-Armstrong, L, Cheng, CY (Ching-Yu), Jonas, JB, Wong, TY, Fogh, I, Lin, K, Powell, JF, Rice, K, Relton, CL, Martin, RM, Smith, GD, Haycock, PC, Burgess, S, Nounu, A, Zheng, J, Okoli, GN, Bowden, J, Wade, KH, Timpson, NJ, Evans, DM, Willeit, P, Aviv, A, Gaunt, T, Hemani, G, Mangino, M, Ellis, HP, Kurian, KM, Pooley, KA, Eeles, RA, Lee, JE, Fang, SY, Chen, WV, Law, MH, Bowdler, LM, Iles, MM, Yang, Q, Worrall, BB, Markus, HS, Hung, RJ, Amos, CI, Spurdle, AB, Thompson, DJ, O'Mara, TA, Wolpin, B, Amundadottir, L, Stolzenberg-Solomon, R, Trichopoulou, A, Onland-Moret, C, Lund, E, Duell, EJ, Canzian, F, Severi, G, Overvad, K, Gunter, MJ, Tumino, R, Svenson, U, van Rij, A, Baas, AF, Bown, MJ, Samani, NJ, van t'Hof, FNG, Tromp, G, Jones, GT, Kuivaniemi, H, Elmore, JR, Johansson, M, Mckay, J, Scelo, G, Carreras-Torres, R, Gaborieau, V, Brennan, P, Bracci, PM, Neale, RE, Olson, SH, Gallinger, S, Li, DH, Petersen, GM, Risch, HA, Klein, AP, Han, JL, Abnet, CC, Freedman, N D, Taylor, PR, Maris, JM, Aben, KK, Kiemeney, LA, Vermeulen, SH, Wiencke, JK, Walsh, KM, Wrensch, M, Rice, T, Turnbull, C, Litchfield, K, Paternoster, L, Standl, M, Abecasis, GR, SanGiovanni, JP, Li, Y, Mijatovic, V, Sapkota, Y, Low, SK, Zondervan, KT, Montgomery, GW, Nyholt, DR, van Heel, D A, Hunt, K, Arking, DE, Ashar, FN, Sotoodehnia, N, Woo, D, Rosand, J, Comeau, ME, Brown, W M, Silverman, EK, Hokanson, JE, Cho, MH, Hui, J, Ferreira, MA, Thompson, PJ, Morrison, AC, Felix, Janine, Smith, NL, Christiano, AM, Petukhova, L, Betz, RC, Fan, X, Zhang, XJ, Zhu, CH, Langefeld, CD, Thompson, SD, Wang, FJ, Lin, X, Schwartz, DA, Fingerlin, T, Rotter, JI, Cotch, MF, Jensen, RA, Munz, M, Dommisch, H, Schaefer, AS, Han, F, Ollila, HM, Hillary, RP, Albagha, O, Ralston, SH, Zeng, CJ, Zheng, W, Shu, XO, Reis, A, Uebe, S, Huffmeier, U, Kawamura, Y, Otowa, T, Sasaki, T, Hibberd, ML, Davila, S, Xie, G, Siminovitch, K, Bei, JX, Zeng, YX, Forsti, A, Chen, B (Bowang), Landi, S, Franke, A, Fischer, A, Ellinghaus, D, Flores, C, Noth, I, Ma, SF, Foo, JN, Liu, JJ, Kim, JW, Cox, DG, Delattre, O, Mirabeau, O, Skibola, CF, Tang, CS, Garcia-Barcelo, M, Chang, KP, Su, WH, Chang, YS, Martin, NG, Gordon, S, Wade, TD, Lee, C, Kubo, M, Cha, PC, Nakamura, Y, Levy, D, Kimura, M, Hwang, SJ, Hunt, S, Spector, T, Soranzo, N, Manichaikul, A, Barr, G, Kahali, B, Speliotes, E, Yerges-Armstrong, L, Cheng, CY (Ching-Yu), Jonas, JB, Wong, TY, Fogh, I, Lin, K, Powell, JF, Rice, K, Relton, CL, Martin, RM, and Smith, GD
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- 2017
14. Circulating prolactin and breast cancer risk among pre- and postmenopausal women in the EPIC cohort
- Author
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Tikk, K. Sookthai, D. Johnson, T. Rinaldi, S. Romieu, I. and Tjonneland, A. Olsen, A. Overvad, K. Clavel-Chapelon, F. and Baglietto, L. Boeing, H. Trichopoulou, A. Lagiou, P. and Trichopoulos, D. Palli, D. Pala, V. Tumino, R. Rosso, S. and Panico, S. Agudo, A. Menendez, V. Sanchez, M. -J. and Amiano, P. Huerta Castano, J. M. Ardanaz, E. and Bueno-de-Mesquita, H. B. Monninkhof, E. Onland-Moret, C. and Andersson, A. Sund, M. Weiderpass, E. Khaw, K. -T. Key, T. J. Travis, R. C. Gunter, M. J. Riboli, E. Dossus, L. and Kaaks, R.
- Abstract
Experimental and epidemiological evidence suggests that prolactin might play a role in the etiology of breast cancer. We analyzed the relationship of prediagnostic circulating prolactin levels with the risk of breast cancer by menopausal status, use of postmenopausal hormone replacement therapy (HRT) at blood donation, and by estrogen and progesterone receptor status of the breast tumors. Conditional logistic regression was used to analyze the data from a case-control study nested within the prospective European EPIC cohort, including 2250 invasive breast cancer and their matched control subjects. Statistically significant heterogeneity in the association of prolactin levels with breast cancer risk between women who were either pre- or postmenopausal at the time of blood donation was observed (P-het = 0.04). Higher serum levels of prolactin were associated with significant increase in the risk of breast cancer among postmenopausal women [odds ratio (OR)(Q4-Q1) = 1.29 (95% confidence interval, CI, 1.05-1.58), P-trend = 0.09]; however, this increase in risk seemed to be confined to women who used postmenopausal HRT at blood donation [ORQ4-Q1 = 1.45 (95% CI 1.08-1.95), P-trend = 0.01], whereas no statistically significant association was found for the non-users of HRT [ORQ4-Q1 = 1.11 (95%CI 0.83-1.49), P-trend = 0.80] (P-het = 0.08). Among premenopausal women, a statistically non-significant inverse association was observed [ORQ4-Q1 = 0.70 (95% CI 0.48-1.03), P-trend = 0.16]. There was no heterogeneity in the prolactin-breast cancer association by hormone receptor status of the tumor. Our study indicates that higher circulating levels of prolactin among the postmenopausal HRT users at baseline may be associated with increased breast cancer risk.
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- 2014
15. Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on individual participant data
- Author
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Wensley, F, Gao, P, Burgess, S, Kaptoge, S, Di Angelantonio, E, Shah, T, Engert, JC, Clarke, R, Davey-Smith, G, Nordestgaard, BG, Saleheen, D, Samani, NJ, Sandhu, M, Anand, S, Pepys, MB, Smeeth, L, Whittaker, J, Casas, JP, Thompson, SG, Hingorani, AD, Danesh, J, Eiriksdottir, G, Harris, TB, Launer, LJ, Gudnason, V, Folsom, AR, Andrews, G, Ballantyne, CM, Hall, AS, Braund, PS, Balmforth, AJ, Whincup, PH, Morris, R, Lawlor, DA, Lowe, GDO, Timpson, N, Ebrahim, S, Ben-Shlomo, Y, Tybjaerg-Hansen, A, Zacho, J, Brown, M, Ricketts, SL, Ashford, S, Lange, L, Reiner, A, Cushman, M, Tracy, R, Wu, C, Ge, J, Zou, Y, Sun, A, Hung, J, McQuillan, B, Thompson, P, Beilby, J, Warrington, N, Palmer, LJ, Wanner, C, Drechsler, C, Hoffmann, MM, Fowkes, FGR, Tzoulaki, I, Kumari, M, Miller, M, Marmot, M, Onland-Moret, C, van der Schouw, YT, Boer, JM, Wijmenga, C, Khaw, K-T, Vasan, RS, Schnabel, RB, Yamamoto, JF, Benjamin, EJ, Schunkert, H, Erdmann, J, Koenig, IR, Hengstenberg, C, Chiodini, B, Franzosi, MG, Pietri, S, Gori, F, Rudock, M, Liu, Y, Lohman, K, Humphries, SE, Hamsten, A, Norman, PE, Hankey, GJ, Jamrozik, K, Rimm, EB, Pai, JK, Psaty, BM, Heckbert, SR, Bis, JC, Yusuf, S, Xie, C, Collins, R, Bennett, D, Kooner, J, Chambers, J, Elliott, P, Maerz, W, Kleber, ME, Boehm, BO, Winkelmann, BR, Melander, O, Berglund, G, Koenig, W, Thorand, B, Baumert, J, Peters, A, Manson, J, Cooper, JA, Talmud, PJ, Ladenvall, P, Johansson, L, Jansson, J-H, Hallmans, G, Reilly, MP, Qu, L, Li, M, Rader, DJ, Watkins, H, Hopewell, J, Frossard, P, Sattar, N, Robertson, M, Shepherd, J, Schaefer, E, Hofman, A, Witteman, JCM, Kardys, I, Dehghan, A, de Faire, U, Bennet, A, Gigante, B, Leander, K, Peters, B, Maitland-van der Zee, AH, de Boer, A, Klungel, O, Greenland, P, Dai, J, Liu, S, Brunner, E, Kivimaki, M, O'Reilly, D, Ford, I, Packard, CJ, Dis, CRPCH, CIHDS, CC, CUPID, C, Medical Research Council (MRC), University of Groningen, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Pulmonology, and Coronel Institute of Occupational Health
- Subjects
Male ,Coronary Disease ,Bioinformatics ,Gene Frequency ,MARKERS ,Polymorphism (computer science) ,Risk Factors ,Myocardial infarction ,Prospective Studies ,Prospective cohort study ,General Environmental Science ,Genetics ,RISK ,biology ,General Engineering ,Mendelian Randomization Analysis ,General Medicine ,Middle Aged ,C-Reactive Protein ,1117 Public Health And Health Services ,CARDIOVASCULAR-DISEASE ,Meta-analysis ,symbols ,Female ,Life Sciences & Biomedicine ,Ischaemic Heart Disease ,Polymorphism, Single Nucleotide ,Molecular Genetics ,symbols.namesake ,Medicine, General & Internal ,INFLAMMATION ,Drugs: Cardiovascular System ,General & Internal Medicine ,medicine ,INSTRUMENTAL VARIABLES ,Humans ,C Reactive Protein Coronary Heart Disease Genetics Collaboration (CCGC) ,Allele frequency ,METAANALYSIS ,POLYMORPHISMS ,Science & Technology ,business.industry ,Research ,C-reactive protein ,medicine.disease ,GENE ,MYOCARDIAL-INFARCTION ,ATHEROSCLEROSIS ,Mendelian inheritance ,biology.protein ,General Earth and Planetary Sciences ,business - Abstract
Objective To use genetic variants as unconfounded proxies of C reactive protein concentration to study its causal role in coronary heart disease. Design Mendelian randomisation meta-analysis of individual participant data from 47 epidemiological studies in 15 countries. Participants 194 418 participants, including 46 557 patients with prevalent or incident coronary heart disease. Information was available on four CRP gene tagging single nucleotide polymorphisms (rs3093077, rs1205, rs1130864, rs1800947), concentration of C reactive protein, and levels of other risk factors. Main outcome measures Risk ratios for coronary heart disease associated with genetically raised C reactive protein versus risk ratios with equivalent differences in C reactive protein concentration itself, adjusted for conventional risk factors and variability in risk factor levels within individuals. Results CRP variants were each associated with up to 30% per allele difference in concentration of C reactive protein (P
- Published
- 2011
16. Circulating prolactin and breast cancer risk among pre- and postmenopausal women in the EPIC cohort
- Author
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Tikk, Kaja, Sookthai, Disorn, Johnson, Theron, Rinaldi, Sabina, Romieu, Isabelle, Tjønneland, Anne, Olsen, Anja, Overvad, Kim, Clavel-Chapelon, Francoise, Baglietto, Laura, Boeing, Heiner, Trichopoulou, Antonia, Lagiou, Pagona, Trichopoulos, Dimitrios, Palli, Domenico, Pala, V, Tumino, Rosario, Rosso, S, Panico, Salvatore, Agudo, A, Menéndez, Virginia, Sánchez, Maria-Jose, Amiano, Pilar, Castaño, J M Huerta, Ardanaz, Eva, Bas Bueno-de-Mesquita, H, Monninkhof, Evelyn, Onland-Moret, C, Andersson, Anne, Sund, Malin, Weiderpass, Elisabete, Khaw, Kay-Tee, Key, Timothy J, Travis, Ruth C, Gunter, Marc J, Riboli, Elio, Dossus, Laure, Kaaks, Rudolf, Tikk, Kaja, Sookthai, Disorn, Johnson, Theron, Rinaldi, Sabina, Romieu, Isabelle, Tjønneland, Anne, Olsen, Anja, Overvad, Kim, Clavel-Chapelon, Francoise, Baglietto, Laura, Boeing, Heiner, Trichopoulou, Antonia, Lagiou, Pagona, Trichopoulos, Dimitrios, Palli, Domenico, Pala, V, Tumino, Rosario, Rosso, S, Panico, Salvatore, Agudo, A, Menéndez, Virginia, Sánchez, Maria-Jose, Amiano, Pilar, Castaño, J M Huerta, Ardanaz, Eva, Bas Bueno-de-Mesquita, H, Monninkhof, Evelyn, Onland-Moret, C, Andersson, Anne, Sund, Malin, Weiderpass, Elisabete, Khaw, Kay-Tee, Key, Timothy J, Travis, Ruth C, Gunter, Marc J, Riboli, Elio, Dossus, Laure, and Kaaks, Rudolf
- Abstract
BACKGROUND: Experimental and epidemiological evidence suggests that prolactin might play a role in the etiology of breast cancer. We analyzed the relationship of pre-diagnostic circulating prolactin levels with the risk of breast cancer by menopausal status, use of postmenopausal hormone replacement therapy (HRT) at blood donation, and by estrogen and progesterone receptor-status of the breast tumors. METHODS: Conditional logistic regression was used to analyze the data from a case-control study nested within the prospective European EPIC cohort, including 2250 invasive breast cancer and their matched control subjects. RESULTS: Statistically significant heterogeneity in the association of prolactin levels with breast cancer risk between women who were either pre- or postmenopausal at the time of blood donation was observed (Phet=0.04). Higher serum levels of prolactin were associated with significant increase in risk of breast cancer among postmenopausal women (ORQ4-Q1=1.29 [95%CI 1.05-1.58], Ptrend=0.09); however this increase in risk seemed to be confined to women who used postmenopausal HRT at blood donation (ORQ4-Q1=1.45 [95%CI 1.08-1.95], Ptrend=0.01), whereas no statistically significant association was found for the non-users of HRT (ORQ4-Q1 =1.11 [95%CI 0.83-1.49], Ptrend=0.80) (Phet=0.08). Among premenopausal women, a statistically non-significant inverse association was observed (ORQ4-Q1 =0.70 [95%CI 0.48-1.03], Ptrend=0.16). There was no heterogeneity in the prolactin-breast cancer association by hormone receptor status of the tumor. CONCLUSION: Our study indicates that higher circulating levels of prolactin among the postmenopausal HRT users at baseline may be associated with increased breast cancer risk.
- Published
- 2014
- Full Text
- View/download PDF
17. Association between C reactive protein and coronary heart disease : mendelian randomisation analysis based on individual participant data
- Author
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Wensley, Frances, Gao, Pei, Burgess, Stephen, Kaptoge, Stephen, Di Angelantonio, Emanuele, Shah, Tina, Engert, James C., Clarke, Robert, Davey-Smith, George, Nordestgaard, Borge G., Saleheen, Danish, Samani, Nilesh J., Sandhu, Manjinder, Anand, Sonia, Pepys, Mark B., Smeeth, Liam, Whittaker, John, Casas, Juan Pablo, Thompson, Simon G., Hingorani, Aroon D., Danesh, John, Eiriksdottir, G., Harris, T. B., Launer, L. J., Gudnason, V., Folsom, A. R., Andrews, G., Ballantyne, C. M., Samani, N. J., Hall, A. S., Braund, P. S., Balmforth, A. J., Whincup, P. H., Morris, R., Lawlor, D. A., Lowe, G. D. O., Timpson, N., Ebrahim, S., Ben-Shlomo, Y., Davey-Smith, G., Nordestgaard, B. G., Tybjaerg-Hansen, A., Zacho, J., Brown, M., Sandhu, M., Ricketts, S. L., Ashford, S., Lange, L., Reiner, A., Cushman, M., Tracy, R., Wu, C., Ge, J., Zou, Y., Sun, A., Hung, J., McQuillan, B., Thompson, P., Beilby, J., Warrington, N., Palmer, L. J., Wanner, C., Drechsler, C., Hoffmann, M. M., Fowkes, F. G. R., Tzoulaki, I., Kumari, M., Miller, M., Marmot, M., Onland-Moret, C., van der Schouw, Y. T., Boer, J. M., Wijmenga, C., Khaw, K-T, Vasan, R. S., Schnabel, R. B., Yamamoto, J. F., Benjamin, E. J., Schunkert, H., Erdmann, J., Koenig, I. R., Hengstenberg, C., Chiodini, B., Franzosi, M. G., Pietri, S., Gori, F., Rudock, M., Liu, Y., Lohman, K., Humphries, S. E., Hamsten, A., Norman, P. E., Hankey, G. J., Jamrozik, K., Rimm, E. B., Pai, J. K., Psaty, B. M., Heckbert, S. R., Bis, J. C., Yusuf, S., Anand, S., Engert, J. C., Xie, C., Collins, R., Clarke, R., Bennett, D., Kooner, J., Chambers, J., Elliott, P., Maerz, W., Kleber, M. E., Boehm, B. O., Winkelmann, B. R., Melander, O., Berglund, G., Koenig, W., Thorand, B., Baumert, J., Peters, A., Manson, J., Cooper, J. A., Talmud, P. J., Ladenvall, P., Johansson, L., Jansson, Jan-Håkan, Hallmans, Göran, Reilly, M. P., Qu, L., Li, M., Rader, D. J., Watkins, H., Hopewell, J., Saleheen, D., Danesh, J., Frossard, P., Sattar, N., Robertson, M., Shepherd, J., Schaefer, E., Hofman, A., Witteman, J. C. M., Kardys, I., Dehghan, A., de Faire, U., Bennet, A., Gigante, B., Leander, K., Peters, B., Maitland-van der Zee, A. H., de Boer, A., Klungel, O., Greenland, P., Dai, J., Liu, S., Brunner, E., Kivimaki, M., O'Reilly, D., Ford, I., Packard, C. J., Wensley, Frances, Gao, Pei, Burgess, Stephen, Kaptoge, Stephen, Di Angelantonio, Emanuele, Shah, Tina, Engert, James C., Clarke, Robert, Davey-Smith, George, Nordestgaard, Borge G., Saleheen, Danish, Samani, Nilesh J., Sandhu, Manjinder, Anand, Sonia, Pepys, Mark B., Smeeth, Liam, Whittaker, John, Casas, Juan Pablo, Thompson, Simon G., Hingorani, Aroon D., Danesh, John, Eiriksdottir, G., Harris, T. B., Launer, L. J., Gudnason, V., Folsom, A. R., Andrews, G., Ballantyne, C. M., Samani, N. J., Hall, A. S., Braund, P. S., Balmforth, A. J., Whincup, P. H., Morris, R., Lawlor, D. A., Lowe, G. D. O., Timpson, N., Ebrahim, S., Ben-Shlomo, Y., Davey-Smith, G., Nordestgaard, B. G., Tybjaerg-Hansen, A., Zacho, J., Brown, M., Sandhu, M., Ricketts, S. L., Ashford, S., Lange, L., Reiner, A., Cushman, M., Tracy, R., Wu, C., Ge, J., Zou, Y., Sun, A., Hung, J., McQuillan, B., Thompson, P., Beilby, J., Warrington, N., Palmer, L. J., Wanner, C., Drechsler, C., Hoffmann, M. M., Fowkes, F. G. R., Tzoulaki, I., Kumari, M., Miller, M., Marmot, M., Onland-Moret, C., van der Schouw, Y. T., Boer, J. M., Wijmenga, C., Khaw, K-T, Vasan, R. S., Schnabel, R. B., Yamamoto, J. F., Benjamin, E. J., Schunkert, H., Erdmann, J., Koenig, I. R., Hengstenberg, C., Chiodini, B., Franzosi, M. G., Pietri, S., Gori, F., Rudock, M., Liu, Y., Lohman, K., Humphries, S. E., Hamsten, A., Norman, P. E., Hankey, G. J., Jamrozik, K., Rimm, E. B., Pai, J. K., Psaty, B. M., Heckbert, S. R., Bis, J. C., Yusuf, S., Anand, S., Engert, J. C., Xie, C., Collins, R., Clarke, R., Bennett, D., Kooner, J., Chambers, J., Elliott, P., Maerz, W., Kleber, M. E., Boehm, B. O., Winkelmann, B. R., Melander, O., Berglund, G., Koenig, W., Thorand, B., Baumert, J., Peters, A., Manson, J., Cooper, J. A., Talmud, P. J., Ladenvall, P., Johansson, L., Jansson, Jan-Håkan, Hallmans, Göran, Reilly, M. P., Qu, L., Li, M., Rader, D. J., Watkins, H., Hopewell, J., Saleheen, D., Danesh, J., Frossard, P., Sattar, N., Robertson, M., Shepherd, J., Schaefer, E., Hofman, A., Witteman, J. C. M., Kardys, I., Dehghan, A., de Faire, U., Bennet, A., Gigante, B., Leander, K., Peters, B., Maitland-van der Zee, A. H., de Boer, A., Klungel, O., Greenland, P., Dai, J., Liu, S., Brunner, E., Kivimaki, M., O'Reilly, D., Ford, I., and Packard, C. J.
- Abstract
Objective To use genetic variants as unconfounded proxies of C reactive protein concentration to study its causal role in coronary heart disease. Design Mendelian randomisation meta-analysis of individual participant data from 47 epidemiological studies in 15 countries. Participants 194 418 participants, including 46 557 patients with prevalent or incident coronary heart disease. Information was available on four CRP gene tagging single nucleotide polymorphisms (rs3093077, rs1205, rs1130864, rs1800947), concentration of C reactive protein, and levels of other risk factors. Main outcome measures Risk ratios for coronary heart disease associated with genetically raised C reactive protein versus risk ratios with equivalent differences in C reactive protein concentration itself, adjusted for conventional risk factors and variability in risk factor levels within individuals. Results CRP variants were each associated with up to 30% per allele difference in concentration of C reactive protein (P<10(-34)) and were unrelated to other risk factors. Risk ratios for coronary heart disease per additional copy of an allele associated with raised C reactive protein were 0.93 (95% confidence interval 0.87 to 1.00) for rs3093077; 1.00 (0.98 to 1.02) for rs1205; 0.98 (0.96 to 1.00) for rs1130864; and 0.99 (0.94 to 1.03) for rs1800947. In a combined analysis, the risk ratio for coronary heart disease was 1.00 (0.90 to 1.13) per 1 SD higher genetically raised natural log (ln) concentration of C reactive protein. The genetic findings were discordant with the risk ratio observed for coronary heart disease of 1.33 (1.23 to 1.43) per 1 SD higher circulating ln concentration of C reactive protein in prospective studies (P=0.001 for difference). Conclusion Human genetic data indicate that C reactive protein concentration itself is unlikely to be even a modest causal factor in coronary heart disease.
- Published
- 2011
- Full Text
- View/download PDF
18. Dysphonia as a Previously Unreported Side Effect of Bevacizumab Treatment in Patients With Metastatic Breast Cancer
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Radema, S.A., primary, Souverein, P., additional, Meyboom, R., additional, Ahmadizar, F., additional, Onland-Moret, C., additional, and Zee, A. Maitland-Vd, additional
- Published
- 2012
- Full Text
- View/download PDF
19. Circulating prolactin and breast cancer risk among pre- and postmenopausal women in the EPIC cohort
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Antonia Trichopoulou, M-J Sanchez, Laura Baglietto, Elisabete Weiderpass, Virginia Menéndez, Evelyn M. Monninkhof, Anne Tjønneland, A. Olsen, Laure Dossus, V. Pala, R. Tumino, Marc J. Gunter, Salvatore Panico, Kim Overvad, Disorn Sookthai, F. Clavel-Chapelon, Timothy J. Key, Pagona Lagiou, Rudolf Kaaks, Pilar Amiano, Charlotte Onland-Moret, Ruth C. Travis, Theron Johnson, Stefano Rosso, Kay-Tee Khaw, Anne Andersson, Dimitrios Trichopoulos, Eva Ardanaz, Antonio Agudo, Isabelle Romieu, Elio Riboli, Kaja Tikk, H. Boeing, Malin Sund, J. M. Huerta Castano, Hendrik B. Bueno-de-Mesquita, Domenico Palli, S. Rinaldi, Tikk, K, Sookthai, D, Johnson, T, Rinaldi, S, Romieu, I, Tj?nneland, A, Olsen, A, Overvad, K, Clavel Chapelon, F, Baglietto, L, Boeing, H, Trichopoulou, A, Lagiou, P, Trichopoulos, D, Palli, D, Pala, V, Tumino, R, Rosso, S, Panico, Salvatore, Agudo, A, Men?ndez, V, S?nchez, Mj, Amiano, P, Huerta Casta?o, Jm, Ardanaz, E, Bueno de Mesquita, Hb, Monninkhof, E, Onland Moret, C, Andersson, A, Sund, M, Weiderpass, E, Khaw, Kt, Key, Tj, Travis, Rc, Gunter, Mj, Riboli, E, Dossus, L, and Kaaks, R.
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Oncology ,medicine.medical_specialty ,medicine.medical_treatment ,Prolactin levels ,Breast Neoplasms ,Progesterone receptor ,Cohort Studies ,Breast cancer ,Risk Factors ,Internal medicine ,Estrogen receptor ,Humans ,Medicine ,Prospective cohort study ,Gynecology ,business.industry ,Case-control study ,Hormone replacement therapy (menopause) ,Hematology ,Prospective cohort ,medicine.disease ,Prolactin ,Postmenopause ,Menopause ,Hormone replacement therapy ,Case-Control Studies ,Female ,Premenopause ,Cohort ,business ,Cohort study - Abstract
BACKGROUND: Experimental and epidemiological evidence suggests that prolactin might play a role in the etiology of breast cancer. We analyzed the relationship of prediagnostic circulating prolactin levels with the risk of breast cancer by menopausal status, use of postmenopausal hormone replacement therapy (HRT) at blood donation, and by estrogen and progesterone receptor status of the breast tumors. PATIENTS AND METHODS: Conditional logistic regression was used to analyze the data from a case-control study nested within the prospective European EPIC cohort, including 2250 invasive breast cancer and their matched control subjects. RESULTS: Statistically significant heterogeneity in the association of prolactin levels with breast cancer risk between women who were either pre- or postmenopausal at the time of blood donation was observed (Phet = 0.04). Higher serum levels of prolactin were associated with significant increase in the risk of breast cancer among postmenopausal women [odds ratio (OR)Q4-Q1 = 1.29 (95% confidence interval, CI, 1.05-1.58), Ptrend = 0.09]; however, this increase in risk seemed to be confined to women who used postmenopausal HRT at blood donation [ORQ4-Q1 = 1.45 (95% CI 1.08-1.95), Ptrend = 0.01], whereas no statistically significant association was found for the non-users of HRT [ORQ4-Q1 = 1.11 (95%CI 0.83-1.49), Ptrend = 0.80] (Phet = 0.08). Among premenopausal women, a statistically non-significant inverse association was observed [ORQ4-Q1 = 0.70 (95% CI 0.48-1.03), Ptrend = 0.16]. There was no heterogeneity in the prolactin-breast cancer association by hormone receptor status of the tumor. CONCLUSION: Our study indicates that higher circulating levels of prolactin among the postmenopausal HRT users at baseline may be associated with increased breast cancer risk.
- Published
- 2014
20. Methylome Analysis and Epigenetic Changes Associated with Menarcheal Age
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Sabina Sieri, Karin van Veldhoven, Marina Kvaskoff, Cyrille Cuenin, Heiner Boeing, Angela Risch, Isabelle Romieu, Marc J. Gunter, Jia Chen, Nicholas J. Wareham, Salvatore Panico, Gianluca Campanella, María José Sánchez Pérez, Ruth C. Travis, Zdenko Herceg, Pagona Lagiou, José María Huerta Castaño, Silvia Polidoro, Kevin Brennan, Giovanna Masala, Rudolf Kaaks, J. Ramón Quirós, Eva Ardanaz, Petra H.M. Peeters, Timothy J. Key, Laure Dossus, Dagmar Drogan, Françoise Clavel-Chapelon, Pilar Amiano, James M. Flanagan, Kyriacos Kyriacou, Dimitrios Trichopoulos, Rosario Tumino, Kay-Tee Khaw, Valentina Gallo, Charlotte Onland-Moret, Paolo Vineis, Christiana A. Demetriou, Elio Riboli, Demetriou, Ca, Chen, J, Polidoro, S, van Veldhoven, K, Cuenin, C, Campanella, G, Brennan, K, Clavel Chapelon, F, Dossus, L, Kvaskoff, M, Drogan, D, Boeing, H, Kaaks, R, Risch, A, Trichopoulos, D, Lagiou, P, Masala, G, Sieri, S, Tumino, R, Panico, Salvatore, Quir?s, Jr, S?nchez Perez, Mj, Amiano, P, Huerta Casta?o, Jm, Ardanaz, E, Onland Moret, C, Peeters, P, Khaw, Kt, Wareham, N, Key, Tj, Travis, Rc, Romieu, I, Gallo, V, Gunter, M, Herceg, Z, Kyriacou, K, Riboli, E, Flanagan, Jm, and Vineis, P.
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Adult ,BLOOD-CELLS ,HYPOMETHYLATION ,IMPACT ,Population ,Luma ,Physiology ,lcsh:Medicine ,Locus (genetics) ,Biology ,Epigenesis, Genetic ,03 medical and health sciences ,0302 clinical medicine ,Humans ,BREAST-CANCER ,Epigenetics ,Prospective Studies ,education ,lcsh:Science ,POPULATION ,030304 developmental biology ,Aged ,Genetics ,Menarche ,RISK ,0303 health sciences ,education.field_of_study ,Multidisciplinary ,Science & Technology ,MULTIDISCIPLINARY SCIENCES ,lcsh:R ,Methylation ,DNA Methylation ,Middle Aged ,LEUKOCYTE DNA ,CpG site ,030220 oncology & carcinogenesis ,DNA methylation ,COLORECTAL ADENOMA ,PATTERNS ,Science & Technology - Other Topics ,lcsh:Q ,CpG Islands ,Female ,GENOMIC DNA METHYLATION ,Research Article - Abstract
Reproductive factors have been linked to both breast cancer and DNA methylation, suggesting methylation as an important mechanism by which reproductive factors impact on disease risk. However, few studies have investigated the link between reproductive factors and DNA methylation in humans. Genome-wide methylation in peripheral blood lymphocytes of 376 healthy women from the prospective EPIC study was investigated using LUminometric Methylation Assay (LUMA). Also, methylation of 458877 CpG sites was additionally investigated in an independent group of 332 participants of the EPIC-Italy sub-cohort, using the Infinium HumanMethylation 450 BeadChip. Multivariate logistic regression and linear models were used to investigate the association between reproductive risk factors and genome wide and CpG-specific DNA methylation, respectively. Menarcheal age was inversely associated with global DNA methylation as measured with LUMA. For each yearly increase in age at menarche, the risk of having genome wide methylation below median level was increased by 32% (OR:1.32, 95%CI:1.14-1.53). When age at menarche was treated as a categorical variable, there was an inverse dose-response relationship with LUMA methylation levels (OR(12-14 vs. ≤11 yrs):1.78, 95%CI:1.01-3.17 and OR(≥15 vs. ≤11 yrs):4.59, 95%CI:2.04-10.33; P for trend
- Published
- 2013
21. Hypertensive disorders of pregnancy and cardiovascular disease risk: a Mendelian randomisation study.
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Tschiderer L, van der Schouw YT, Burgess S, Bloemenkamp KWM, Seekircher L, Willeit P, Onland-Moret C, and Peters SAE
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- Humans, Female, Pregnancy, Middle Aged, Male, Cardiovascular Diseases genetics, Cardiovascular Diseases epidemiology, United Kingdom epidemiology, Risk Assessment methods, Genetic Predisposition to Disease, Risk Factors, Pre-Eclampsia genetics, Pre-Eclampsia epidemiology, Pre-Eclampsia diagnosis, Adult, Heart Disease Risk Factors, Polymorphism, Single Nucleotide, Mendelian Randomization Analysis, Hypertension, Pregnancy-Induced genetics, Hypertension, Pregnancy-Induced epidemiology, Genome-Wide Association Study
- Abstract
Objective: Observational studies show that hypertensive disorders of pregnancy (HDPs) are related to unfavourable maternal cardiovascular disease (CVD) risk profiles later in life. We investigated whether genetic liability to pre-eclampsia/eclampsia and gestational hypertension is associated with CVD risk factors and occurrence of CVD events., Methods: We obtained genetic associations with HDPs from a genome-wide association study and used individual participant data from the UK Biobank to obtain genetic associations with CVD risk factors and CVD events (defined as myocardial infarction or stroke). In our primary analysis, we applied Mendelian randomisation using inverse-variance weighted regression analysis in ever pregnant women. In sensitivity analyses, we studied men and nulligravidae to investigate genetic liability to HDPs and CVD risk without the ability to experience the underlying phenotype., Results: Our primary analysis included 221 155 ever pregnant women (mean age 56.8 (SD 7.9) years) with available genetic data. ORs for CVD were 1.20 (1.02 to 1.41) and 1.24 (1.12 to 1.38) per unit increase in the log odds of genetic liability to pre-eclampsia/eclampsia and gestational hypertension, respectively. Furthermore, genetic liability to HDPs was associated with higher levels of systolic and diastolic blood pressure and younger age at hypertension diagnosis. Sensitivity analyses revealed no statistically significant differences when comparing the findings with those of nulligravidae and men., Conclusions: Genetic liability to HDPs is associated with higher CVD risk, lower blood pressure levels and earlier hypertension diagnosis. Our study suggests similar findings in ever pregnant women, nulligravidae and men, implying biological mechanisms relating to HDPs are causally related to CVD risk., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)
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- 2024
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22. X chromosome inactivation skewing is common in advanced carotid atherosclerotic lesions in females and predicts secondary peripheral artery events.
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Buono MF, Benavente ED, Daniels M, Mol BM, Mekke JM, de Borst GJ, de Kleijn DPV, van der Laan SW, Pasterkamp G, Onland-Moret C, Mokry M, and den Ruijter HM
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- Female, Humans, Male, X Chromosome Inactivation, Chromosomes, Human, Y, Mosaicism, Arteries pathology, Atherosclerosis, Plaque, Atherosclerotic pathology
- Abstract
Background and Aim: Sex differences in atherosclerosis have been described with female plaques being mostly perceived as stable and fibrous. Sex-specific mechanisms such as mosaic loss of the Y chromosome in men have been linked to cardiovascular health. In women, X-linked mechanisms such as X chromosome inactivation (XCI) skewing is common in several tissues. Yet, information on the role of XCI in female atherosclerotic plaques is lacking. Here, we investigated the presence of XCI skewing in advanced atherosclerotic lesions and its association with cardiovascular risk factors, histological plaque data, and clinical data., Methods: XCI skewing was quantified in 154 atherosclerotic plaque and 55 blood DNA samples of women included in the Athero-Express study. The skewing status was determined performing the HUMARA assay. Then, we studied the relationship of XCI skewing in female plaque and cardiovascular risk factors using regression models. In addition, we studied if plaque XCI predicted plaque composition, and adverse events during 3-years follow-up using Cox proportional hazard models., Results: XCI skewing was detected in 76 of 154 (49.4%) plaques and in 27 of 55 (67%) blood samples. None of the clinical risk factors were associated with plaque skewing. Plaque skewing was more often detected in plaques with a plaque hemorrhage (OR [95% CI]: 1.44 [1.06-1.98], P = 0.02). Moreover, skewed plaques were not associated with a higher incidence of composite and major events but were specifically associated with peripheral artery events during a 3-year follow-up period in a multivariate model (HR [95%CI]: 1.46 [1.09-1.97]; P = 0.007)., Conclusions: XCI skewing is common in carotid plaques of females and is predictive for the occurrence of peripheral artery events within 3 years after carotid endarterectomy., (© 2023. The Author(s).)
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- 2023
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23. Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses.
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Gaziano L, Sun L, Arnold M, Bell S, Cho K, Kaptoge SK, Song RJ, Burgess S, Posner DC, Mosconi K, Robinson-Cohen C, Mason AM, Bolton TR, Tao R, Allara E, Schubert P, Chen L, Staley JR, Staplin N, Altay S, Amiano P, Arndt V, Ärnlöv J, Barr ELM, Björkelund C, Boer JMA, Brenner H, Casiglia E, Chiodini P, Cooper JA, Coresh J, Cushman M, Dankner R, Davidson KW, de Jongh RT, Donfrancesco C, Engström G, Freisling H, de la Cámara AG, Gudnason V, Hankey GJ, Hansson PO, Heath AK, Hoorn EJ, Imano H, Jassal SK, Kaaks R, Katzke V, Kauhanen J, Kiechl S, Koenig W, Kronmal RA, Kyrø C, Lawlor DA, Ljungberg B, MacDonald C, Masala G, Meisinger C, Melander O, Moreno Iribas C, Ninomiya T, Nitsch D, Nordestgaard BG, Onland-Moret C, Palmieri L, Petrova D, Garcia JRQ, Rosengren A, Sacerdote C, Sakurai M, Santiuste C, Schulze MB, Sieri S, Sundström J, Tikhonoff V, Tjønneland A, Tong T, Tumino R, Tzoulaki I, van der Schouw YT, Monique Verschuren WM, Völzke H, Wallace RB, Wannamethee SG, Weiderpass E, Willeit P, Woodward M, Yamagishi K, Zamora-Ros R, Akwo EA, Pyarajan S, Gagnon DR, Tsao PS, Muralidhar S, Edwards TL, Damrauer SM, Joseph J, Pennells L, Wilson PWF, Harrison S, Gaziano TA, Inouye M, Baigent C, Casas JP, Langenberg C, Wareham N, Riboli E, Gaziano JM, Danesh J, Hung AM, Butterworth AS, Wood AM, and Di Angelantonio E
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- Humans, Mendelian Randomization Analysis methods, Prospective Studies, Risk Factors, Kidney, Cardiovascular Diseases diagnosis, Cardiovascular Diseases epidemiology, Cardiovascular Diseases genetics, Coronary Disease diagnosis, Coronary Disease epidemiology, Coronary Disease genetics, Diabetes Mellitus epidemiology, Stroke diagnosis, Stroke epidemiology, Stroke genetics
- Abstract
Background: End-stage renal disease is associated with a high risk of cardiovascular events. It is unknown, however, whether mild-to-moderate kidney dysfunction is causally related to coronary heart disease (CHD) and stroke., Methods: Observational analyses were conducted using individual-level data from 4 population data sources (Emerging Risk Factors Collaboration, EPIC-CVD [European Prospective Investigation into Cancer and Nutrition-Cardiovascular Disease Study], Million Veteran Program, and UK Biobank), comprising 648 135 participants with no history of cardiovascular disease or diabetes at baseline, yielding 42 858 and 15 693 incident CHD and stroke events, respectively, during 6.8 million person-years of follow-up. Using a genetic risk score of 218 variants for estimated glomerular filtration rate (eGFR), we conducted Mendelian randomization analyses involving 413 718 participants (25 917 CHD and 8622 strokes) in EPIC-CVD, Million Veteran Program, and UK Biobank., Results: There were U-shaped observational associations of creatinine-based eGFR with CHD and stroke, with higher risk in participants with eGFR values <60 or >105 mL·min
-1 ·1.73 m-2 , compared with those with eGFR between 60 and 105 mL·min-1 ·1.73 m-2 . Mendelian randomization analyses for CHD showed an association among participants with eGFR <60 mL·min-1 ·1.73 m-2 , with a 14% (95% CI, 3%-27%) higher CHD risk per 5 mL·min-1 ·1.73 m-2 lower genetically predicted eGFR, but not for those with eGFR >105 mL·min-1 ·1.73 m-2 . Results were not materially different after adjustment for factors associated with the eGFR genetic risk score, such as lipoprotein(a), triglycerides, hemoglobin A1c, and blood pressure. Mendelian randomization results for stroke were nonsignificant but broadly similar to those for CHD., Conclusions: In people without manifest cardiovascular disease or diabetes, mild-to-moderate kidney dysfunction is causally related to risk of CHD, highlighting the potential value of preventive approaches that preserve and modulate kidney function.- Published
- 2022
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24. A New Pipeline for the Normalization and Pooling of Metabolomics Data.
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Viallon V, His M, Rinaldi S, Breeur M, Gicquiau A, Hemon B, Overvad K, Tjønneland A, Rostgaard-Hansen AL, Rothwell JA, Lecuyer L, Severi G, Kaaks R, Johnson T, Schulze MB, Palli D, Agnoli C, Panico S, Tumino R, Ricceri F, Verschuren WMM, Engelfriet P, Onland-Moret C, Vermeulen R, Nøst TH, Urbarova I, Zamora-Ros R, Rodriguez-Barranco M, Amiano P, Huerta JM, Ardanaz E, Melander O, Ottoson F, Vidman L, Rentoft M, Schmidt JA, Travis RC, Weiderpass E, Johansson M, Dossus L, Jenab M, Gunter MJ, Lorenzo Bermejo J, Scherer D, Salek RM, Keski-Rahkonen P, and Ferrari P
- Abstract
Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Specifically, different studies may use variable sample types (e.g., serum versus plasma) collected, treated, and stored according to different protocols, and assayed in different laboratories using different instruments. To address these issues, a new pipeline was developed to normalize and pool metabolomics data through a set of sequential steps: (i) exclusions of the least informative observations and metabolites and removal of outliers; imputation of missing data; (ii) identification of the main sources of variability through principal component partial R-square (PC-PR2) analysis; (iii) application of linear mixed models to remove unwanted variability, including samples' originating study and batch, and preserve biological variations while accounting for potential differences in the residual variances across studies. This pipeline was applied to targeted metabolomics data acquired using Biocrates AbsoluteIDQ kits in eight case-control studies nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Comprehensive examination of metabolomics measurements indicated that the pipeline improved the comparability of data across the studies. Our pipeline can be adapted to normalize other molecular data, including biomarkers as well as proteomics data, and could be used for pooling molecular datasets, for example in international consortia, to limit biases introduced by inter-study variability. This versatility of the pipeline makes our work of potential interest to molecular epidemiologists.
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- 2021
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25. Mediation analysis of the alcohol-postmenopausal breast cancer relationship by sex hormones in the EPIC cohort.
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Assi N, Rinaldi S, Viallon V, Dashti SG, Dossus L, Fournier A, Cervenka I, Kvaskoff M, Turzanski-Fortner R, Bergmann M, Boeing H, Panico S, Ricceri F, Palli D, Tumino R, Grioni S, Sánchez Pérez MJ, Chirlaque MD, Bonet C, Gurrea AB, Amiano Etxezarreta P, Merino S, Bueno de Mesquita HB, van Gils CH, Onland-Moret C, Tjønneland A, Overvad K, Trichopoulou A, Martimianaki G, Karakatsani A, Key T, Christakoudi S, Ellingjord-Dale M, Tsilidis K, Riboli E, Kaaks R, Gunter MJ, and Ferrari P
- Subjects
- Aged, Alcohol Drinking adverse effects, Alcohol Drinking epidemiology, Breast Neoplasms etiology, Case-Control Studies, Estradiol blood, Female, Humans, Incidence, Middle Aged, Prospective Studies, Sex Hormone-Binding Globulin analysis, Testosterone blood, Alcohol Drinking blood, Breast Neoplasms epidemiology, Postmenopause blood
- Abstract
Alcohol consumption is associated with higher risk of breast cancer (BC); however, the biological mechanisms underlying this association are not fully elucidated, particularly the extent to which this relationship is mediated by sex hormone levels. Circulating concentrations of estradiol, testosterone, their free fractions and sex-hormone binding globulin (SHBG), were examined in 430 incident BC cases and 645 matched controls among alcohol-consuming postmenopausal women nested within the European Prospective Investigation into Cancer and Nutrition. Mediation analysis was applied to assess whether individual hormone levels mediated the relationship between alcohol intake and BC risk. An alcohol-related hormonal signature, obtained by partial least square (PLS) regression, was evaluated as a potential mediator. Total (TE), natural direct and natural indirect effects (NIE) were estimated. Alcohol intake was positively associated with overall BC risk and specifically with estrogen receptor-positive tumors with respectively TE = 1.17(95%CI: 1.01,1.35) and 1.36(1.08,1.70) for a 1-standard deviation (1-SD) increase of intake. There was no evidence of mediation by sex steroids or SHBG separately except for a weak indirect effect through free estradiol where NIE = 1.03(1.00,1.06). However, an alcohol-related hormonal signature negatively associated with SHBG and positively with estradiol and testosterone was associated with BC risk (odds ratio [OR] = 1.25 [1.07,1.47]) for a 1-SD higher PLS score, and had a statistically significant NIE accounting for a mediated proportion of 24%. There was limited evidence of mediation of the alcohol-BC association by individual sex hormones. However, a hormonal signature, reflecting lower levels of SHBG and higher levels of sex steroids, mediated a substantial proportion of the association., (© 2019 UICC.)
- Published
- 2020
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26. Demographic, lifestyle, and other factors in relation to antimüllerian hormone levels in mostly late premenopausal women.
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Jung S, Allen N, Arslan AA, Baglietto L, Brinton LA, Egleston BL, Falk R, Fortner RT, Helzlsouer KJ, Idahl A, Kaaks R, Lundin E, Merritt M, Onland-Moret C, Rinaldi S, Sánchez MJ, Sieri S, Schock H, Shu XO, Sluss PM, Staats PN, Travis RC, Tjønneland A, Trichopoulou A, Tworoger S, Visvanathan K, Krogh V, Weiderpass E, Zeleniuch-Jacquotte A, Zheng W, and Dorgan JF
- Subjects
- Adult, Age Factors, Asia, Biomarkers blood, Contraceptives, Oral, Hormonal therapeutic use, Cross-Sectional Studies, Enzyme-Linked Immunosorbent Assay, Europe, Female, Humans, Middle Aged, Multivariate Analysis, Prospective Studies, Sex Hormone-Binding Globulin analysis, Testosterone Congeners blood, United States, Young Adult, Anti-Mullerian Hormone blood, Life Style, Ovarian Reserve, Premenopause blood
- Abstract
Objective: To identify reproductive, lifestyle, hormonal, and other correlates of circulating antimüllerian hormone (AMH) concentrations in mostly late premenopausal women., Design: Cross-sectional study., Setting: Not applicable., Patient(s): A total of 671 premenopausal women not known to have cancer., Intervention(s): None., Main Outcome Measure(s): Concentrations of AMH were measured in a single laboratory using the picoAMH ELISA. Multivariable-adjusted median (and interquartile range) AMH concentrations were calculated using quantile regression for several potential correlates., Result(s): Older women had significantly lower AMH concentrations (≥40 [n = 444] vs. <35 years [n = 64], multivariable-adjusted median 0.73 ng/mL vs. 2.52 ng/mL). Concentrations of AMH were also significantly lower among women with earlier age at menarche (<12 [n = 96] vs. ≥14 years [n = 200]: 0.90 ng/mL vs. 1.12 ng/mL) and among current users of oral contraceptives (n = 27) compared with never or former users (n = 468) (0.36 ng/mL vs. 1.15 ng/mL). Race, body mass index, education, height, smoking status, parity, and menstrual cycle phase were not significantly associated with AMH concentrations. There were no significant associations between AMH concentrations and androgen or sex hormone-binding globulin concentrations or with factors related to blood collection (e.g., sample type, time, season, and year of blood collection)., Conclusion(s): Among premenopausal women, lower AMH concentrations are associated with older age, a younger age at menarche, and currently using oral contraceptives, suggesting these factors are related to a lower number or decreased secretory activity of ovarian follicles., (Copyright © 2017 American Society for Reproductive Medicine. All rights reserved.)
- Published
- 2017
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27. Methylome analysis and epigenetic changes associated with menarcheal age.
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Demetriou CA, Chen J, Polidoro S, van Veldhoven K, Cuenin C, Campanella G, Brennan K, Clavel-Chapelon F, Dossus L, Kvaskoff M, Drogan D, Boeing H, Kaaks R, Risch A, Trichopoulos D, Lagiou P, Masala G, Sieri S, Tumino R, Panico S, Quirós JR, Sánchez Perez MJ, Amiano P, Huerta Castaño JM, Ardanaz E, Onland-Moret C, Peeters P, Khaw KT, Wareham N, Key TJ, Travis RC, Romieu I, Gallo V, Gunter M, Herceg Z, Kyriacou K, Riboli E, Flanagan JM, and Vineis P
- Subjects
- Adult, Aged, CpG Islands genetics, Female, Humans, Menarche physiology, Middle Aged, Prospective Studies, DNA Methylation genetics, Epigenesis, Genetic genetics, Menarche genetics
- Abstract
Reproductive factors have been linked to both breast cancer and DNA methylation, suggesting methylation as an important mechanism by which reproductive factors impact on disease risk. However, few studies have investigated the link between reproductive factors and DNA methylation in humans. Genome-wide methylation in peripheral blood lymphocytes of 376 healthy women from the prospective EPIC study was investigated using LUminometric Methylation Assay (LUMA). Also, methylation of 458877 CpG sites was additionally investigated in an independent group of 332 participants of the EPIC-Italy sub-cohort, using the Infinium HumanMethylation 450 BeadChip. Multivariate logistic regression and linear models were used to investigate the association between reproductive risk factors and genome wide and CpG-specific DNA methylation, respectively. Menarcheal age was inversely associated with global DNA methylation as measured with LUMA. For each yearly increase in age at menarche, the risk of having genome wide methylation below median level was increased by 32% (OR:1.32, 95%CI:1.14-1.53). When age at menarche was treated as a categorical variable, there was an inverse dose-response relationship with LUMA methylation levels (OR(12-14 vs. ≤11 yrs):1.78, 95%CI:1.01-3.17 and OR(≥15 vs. ≤11 yrs):4.59, 95%CI:2.04-10.33; P for trend<0.0001). However, average levels of global methylation as measured by the Illumina technology were not significantly associated with menarcheal age. In locus by locus comparative analyses, only one CpG site had significantly different methylation depending on the menarcheal age category examined, but this finding was not replicated by pyrosequencing in an independent data set. This study suggests a link between age at menarche and genome wide DNA methylation, and the difference in results between the two arrays suggests that repetitive element methylation has a role in the association. Epigenetic changes may be modulated by menarcheal age, or the association may be a mirror of other important changes in early life that have a detectable effect on both methylation levels and menarcheal age.
- Published
- 2013
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28. Cigarette smoking and risk of histological subtypes of epithelial ovarian cancer in the EPIC cohort study.
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Gram IT, Lukanova A, Brill I, Braaten T, Lund E, Lundin E, Overvad K, Tjønneland A, Clavel-Chapelon F, Chabbert-Buffet N, Bamia C, Trichopoulou A, Zylis D, Masala G, Berrino F, Galasso R, Tumino R, Sacerdote C, Gavrilyuk O, Kristiansen S, Rodríguez L, Bonet C, Huerta JM, Barricarte A, Sánchez MJ, Dorronsoro M, Jirström K, Almquist M, Idahl A, Bueno-de-Mesquita HB, Braem M, Onland-Moret C, Tsilidis KK, Allen NE, Fedirko V, Riboli E, and Kaaks R
- Subjects
- Adenocarcinoma, Mucinous epidemiology, Adenocarcinoma, Mucinous etiology, Adult, Carcinoma, Ovarian Epithelial, Cohort Studies, Endometrial Neoplasms epidemiology, Endometrial Neoplasms etiology, Europe, Female, Follow-Up Studies, Humans, Middle Aged, Neoplasm Staging, Neoplasms, Glandular and Epithelial epidemiology, Neoplasms, Glandular and Epithelial etiology, Ovarian Neoplasms epidemiology, Ovarian Neoplasms etiology, Proportional Hazards Models, Risk Factors, Surveys and Questionnaires, Adenocarcinoma, Mucinous pathology, Endometrial Neoplasms pathology, Neoplasms, Glandular and Epithelial pathology, Ovarian Neoplasms pathology, Smoking adverse effects
- Abstract
New data regarding a positive association between smoking and risk of epithelial ovarian cancer (EOC), especially the mucinous tumor type, has started to emerge. The purpose of this study was to examine the association between different measures of smoking exposures and subtypes of EOC in a large cohort of women from 10 European countries. The European Prospective Investigation into Cancer and Nutrition (EPIC) cohort is a multicenter prospective study initiated in 1992. The questionnaires included data about dietary, lifestyle, and health factors. Information about cigarette smoking was collected from individuals in all participating countries. We used Cox proportional hazard regression models to estimate hazard ratio (HR) of EOC overall and serous, mucinous, and endometroid histological subtypes, with 95% confidence intervals (CIs) associated with different measures of smoking exposures adjusting for confounding variables. Altogether 836 incident EOC cases were identified among 326,831 women. The tumors were classified as 400 serous, 83 mucinous, 80 endometroid, 35 clear cell, and 238 unspecified. Compared with never smokers, current smokers had a significantly increased risk for mucinous tumors [HR = 1.85 (95% CI 1.08-3.16)] and those smoking more than 10 cigarettes per day had a doubling in risk [HR = 2.25(95% CI 1.26-4.03)] as did those who had smoked less than 15 pack-years of cigarettes [HR = 2.18 (95% CI 1.07-4.43)]. The results from the EPIC study add further evidence that smoking increases risk of mucinous ovarian cancer and support the notion that the effect of smoking varies according to histological subtype., (Copyright © 2011 UICC.)
- Published
- 2012
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29. The MYO9B gene is a strong risk factor for developing refractory celiac disease.
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Wolters VM, Verbeek WH, Zhernakova A, Onland-Moret C, Schreurs MW, Monsuur AJ, Verduijn W, Wijmenga C, and Mulder CJ
- Subjects
- Adult, Aged, Alleles, Celiac Disease blood, Confidence Intervals, Female, Gene Frequency, Genetic Predisposition to Disease, Genotype, HLA-DQ Antigens blood, HLA-DQ Antigens genetics, Humans, Male, Middle Aged, Myosins blood, Odds Ratio, Polymerase Chain Reaction, Prognosis, Risk Factors, Celiac Disease genetics, DNA genetics, Myosins genetics, Polymorphism, Single-Stranded Conformational
- Abstract
Background & Aims: Celiac disease (CD) is associated with HLA-DQ2 and HLA-DQ8 and has been linked to genetic variants in the MYO9B gene on chromosome 19. HLA-DQ2 homozygosity is associated with complications of CD such as refractory celiac disease type II (RCD II) and enteropathy-associated T-cell lymphoma (EATL). We investigated whether MYO9B also predisposes to RCD II and EATL., Methods: Genotyping of MYO9B and molecular HLA-DQ2 typing were performed on 62 RCD II and EATL patients, 421 uncomplicated CD patients, and 1624 controls., Results: One single nucleotide polymorphism in MYO9B showed a significantly different allele distribution in RCD II and EATL patients compared with controls (P = .00002). The rs7259292 T allele was significantly more frequent in RCD II and EATL patients compared with CD patients (P = .0003; odds ratio [OR], 3.61; 95% confidence interval [CI], 1.78-7.31). The frequency of the haplotype carrying the T allele of this single nucleotide polymorphism was significantly increased in RCD II and EATL patients (11%), compared with controls (2%) and CD patients (3%) (OR, 6.76; 95% CI, 3.40-13.46; P = 2.27E-09 and OR, 4.22; 95% CI, 1.95-9.11; P = .0001, respectively). Both MYO9B rs7259292 and HLA-DQ2 homozygosity increase the risk for RCD II and EATL to a similar extent when compared with uncomplicated CD patients (OR, 4.3; 95% CI, 1.9-9.8 and OR, 5.4; 95% CI, 3.0-9.6, respectively), but there was no evidence for any interaction between these 2 risk factors., Conclusions: We show that both MYO9B and HLA-DQ2 homozygosity might be involved in the prognosis of CD and the chance of developing RCD II and EATL.
- Published
- 2007
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