3,336 results on '"Riboli E"'
Search Results
52. Healthy lifestyle index and risk of gastric adenocarcinoma in the EPIC cohort study
- Author
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Buckland, G., Travier, N., Huerta, J. M., Bueno-de-Mesquita, H. B(as), Siersema, P. D., Skeie, G., Weiderpass, E., Engeset, D., Ericson, U., Ohlsson, B., Agudo, A., Romieu, I., Ferrari, P., Freisling, H., Colorado-Yohar, S., Li, K., Kaaks, R., Pala, V., Cross, A. J., Riboli, E., Trichopoulou, A., Lagiou, P., Bamia, C., Boutron-Ruault, M. C., Fagherazzi, G., Dartois, L., May, A. M., Peeters, P. H., Panico, S., Johansson, M., Wallner, B., Palli, D., Key, T. J., Khaw, K. T., Ardanaz, E., Overvad, K., Tjnneland, A., Dorronsoro, M., Sánchez, M. J., Quirós, J. R., Naccarati, A., Tumino, R., Boeing, H., and Gonzalez, C. A.
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- 2015
- Full Text
- View/download PDF
53. Diabetes and onset of natural menopause: results from the European Prospective Investigation into Cancer and Nutrition
- Author
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Brand, J.S., Onland-Moret, N.C., Eijkemans, M.J.C., Tjønneland, A., Roswall, N., Overvad, K., Fagherazzi, G., Clavel-Chapelon, F., Dossus, L., Lukanova, A., Grote, V., Bergmann, M.M., Boeing, H., Trichopoulou, A., Tzivoglou, M., Trichopoulos, D., Grioni, S., Mattiello, A., Masala, G., Tumino, R., Vineis, P., Bueno-de-Mesquita, H.B., Weiderpass, E., Redondo, M.L., Sánchez, M.J., Castaño, J.M. Huerta, Arriola, L., Ardanaz, E., Duell, E.J., Rolandsson, O., Franks, P.W., Butt, S., Nilsson, P., Khaw, K.T., Wareham, N., Travis, R., Romieu, I., Gunter, M.J., Riboli, E., and van der Schouw, Y.T.
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- 2015
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- View/download PDF
54. Plasma carotenoids, vitamin C, retinol and tocopherols levels and pancreatic cancer risk within the European Prospective Investigation into Cancer and Nutrition: A nested case–control study: Plasma micronutrients and pancreatic cancer risk
- Author
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Jeurnink, Suzanne M., Ros, Martine M., Leenders, Max, van Duijnhoven, Franzel J.B., Siersema, Peter D., Jansen, Eugene H.J.M., van Gils, Carla H., Bakker, Marije F., Overvad, Kim, Roswall, Nina, Tjønneland, Anne, Boutron-Ruault, Marie-Christine, Racine, Antoine, Cadeau, Claire, Grote, Verena, Kaaks, Rudolf, Aleksandrova, Krasimira, Boeing, Heiner, Trichopoulou, Antonia, Benetou, Vasiliki, Valanou, Elisavet, Palli, Domenico, Krogh, Vittorio, Vineis, Paolo, Tumino, Rosario, Mattiello, Amalia, Weiderpass, Elisabete, Skeie, Guri, Castaño, José María Huerta, Duell, Eric J., Barricarte, Aurelio, Molina-Montes, Esther, Argüelles, Marcial, Dorronsoro, Mire, Johansen, Dorthe, Lindkvist, Björn, Sund, Malin, Crowe, Francesca L., Khaw, Kay-Tee, Jenab, Mazda, Fedirko, Veronika, Riboli, E., and Bueno-de-Mesquita, H. B(as)
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- 2015
- Full Text
- View/download PDF
55. WHO Consensus statement on the role of nutrition in colorectal cancer
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Scheppach, W, Bingham, S, Boutron-Ruault, M-C, de Verdier, M Gerhardsson, Moreno, V, Nagengast, F M, Reifen, R, Riboli, E, Seitz, H K, and Wahrendorf, J
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- 1999
56. Using multiple imputation methods to estimate relative risks in small EPIC lung cancer subsets
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Altenburg, H.P., Agudo, A., Berrino, F., Boshuizen, H.C., Bueno-de-Mesquita, H.B., Janzon, L., Le Marchand, L., Linseisen, Jakob, Lukanova, A., Rasmuson, T., Vineis, P., Riboli, E., and Miller, A.
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ddc:610 - Published
- 2021
57. Adjustment for smoking in lung cancer analyses in the EPIC cohort
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Boshuizen, H C, Bueno-de-Mesquita, H. B., Altenburg, H P, Agudo, A, Le Marchand, L, Berrino, F, Janzon, L, Rasmuson, T, Vineis, P, Lukanova, A, Linseisen, Jakob, Riboli, E., and Miller, A
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ddc:610 - Published
- 2021
58. Cancer prevention through weight control—where are we in 2020?
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Anderson, AS, Renehan, AG, Saxton, JM, Bell, J, Cade, J, Cross, AJ, King, A, Riboli, E, Sniehotta, F, Treweek, S, Martin, RM, Beeken, R, and Mitrou, G
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Lifestyle modification ,Cancer Research ,Overweight ,B400 ,COLORECTAL-CANCER ,Cancer prevention ,0302 clinical medicine ,Weight loss ,UK NIHR Cancer and Nutrition Collaboration (Population Health Stream) ,Neoplasms ,Epidemiology ,Medicine ,INSULIN-RESISTANCE ,Public health ,cancer prevention ,public health ,POSTMENOPAUSAL WOMEN ,Oncology ,LIFE-STYLE INTERVENTION ,030220 oncology & carcinogenesis ,Perspective ,MENDELIAN RANDOMIZATION ,ICEP ,medicine.symptom ,Life Sciences & Biomedicine ,medicine.medical_specialty ,MEDLINE ,B100 ,B300 ,B700 ,1117 Public Health and Health Services ,03 medical and health sciences ,Weight Loss ,BREAST-CANCER ,Animals ,Humans ,1112 Oncology and Carcinogenesis ,Oncology & Carcinogenesis ,Intensive care medicine ,Exercise ,Science & Technology ,business.industry ,Cancer ,A100 ,medicine.disease ,Obesity ,BODY-MASS INDEX ,PHYSICAL-ACTIVITY ,RISK-FACTORS ,lifestyle modification ,business ,Risk Reduction Behavior - Abstract
Growing data from epidemiological studies highlight the association between excess body fat and cancer incidence, but good indicative evidence demonstrates that intentional weight loss, as well as increasing physical activity, offers much promise as a cost-effective approach for reducing the cancer burden. However, clear gaps remain in our understanding of how changes in body fat or levels of physical activity are mechanistically linked to cancer, and the magnitude of their impact on cancer risk. It is important to investigate the causal link between programmes that successfully achieve short-term modest weight loss followed by weight-loss maintenance and cancer incidence. The longer-term impact of weight loss and duration of overweight and obesity on risk reduction also need to be fully considered in trial design. These gaps in knowledge need to be urgently addressed to expedite the development and implementation of future cancer-control strategies. Comprehensive approaches to trial design, Mendelian randomisation studies and data-linkage opportunities offer real possibilities to tackle current research gaps. In this paper, we set out the case for why non-pharmacological weight-management trials are urgently needed to support cancer-risk reduction and help control the growing global burden of cancer.
- Published
- 2021
59. Impact of thearubigins on the estimation of total dietary flavonoids in the European Prospective Investigation into Cancer and Nutrition (EPIC) study
- Author
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Zamora-Ros, R., Knaze, V., Romieu, I., Scalbert, A., Slimani, N., Clavel-Chapelon, F., Touillaud, M., Perquier, F., Skeie, G., Engeset, D., Weiderpass, E., Johansson, I., Landberg, R., Bueno-de-Mesquita, H.B., Sieri, S., Masala, G., Peeters, P.H.M., Grote, V., Huerta, J.M., Barricarte, A., Amiano, P., Crowe, F.L., Molina-Montes, E., Khaw, K.-T., Arguelles, M.V., Tjonneland, A., Halkjaer, J., de Magistris, M.S., Ricceri, F., Tumino, R., Wirfalt, E., Ericson, U., Overvad, K., Trichopoulou, A., Dilis, V., Vidalis, P., Boeing, H., Forster, J., Riboli, E., and Gonzalez, C.A.
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Polyphenols -- Nutritional aspects ,Food/cooking/nutrition ,Health - Abstract
Thearubigins (TR) are polymeric flavanol-derived compounds formed during the fermentation of tea leaves. Comprising ~70% of total polyphenols in black tea, TR may contribute majorly to its beneficial effects on health. To date, there is no appropriate food composition data on TR, although several studies have used data from the US Department of Agriculture (USDA) database to estimate TR intakes. We aimed to estimate dietary TR in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort and assess the impact of including TR or not in the calculation of the total dietary flavonoid intake. Dietary data were collected using a single standardized 24-h dietary recall interviewer-administered to 36037 subjects aged 35-74 years. TR intakes were calculated using the USDA database. TR intakes ranged from 0.9 mg/day in men from Navarra and San Sebastian in Spain to 532.5 mg/day in men from UK general population. TR contributed European Journal of Clinical Nutrition (2013) 67, 779-782; doi: 10.1038/ejcn.2013.89; published online 24 April 2013 Keywords: thearubigins; flavonoids; dietary intake; sources; EPIC, INTRODUCTION Nowadays, much attention is paid to black tea due to its potential role in chronic disease prevention, such as cardiovascular disease (1) and some types of cancer, such as [...]
- Published
- 2013
- Full Text
- View/download PDF
60. Mediterranean diet and incidence of hip fractures in a European cohort
- Author
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Benetou, V., Orfanos, P., Pettersson-Kymmer, U., Bergström, U., Svensson, O., Johansson, I., Berrino, F., Tumino, R., Borch, K. B., Lund, E., Peeters, P. H. M., Grote, V., Li, K., Altzibar, J. M., Key, T., Boeing, H., von Ruesten, A., Norat, T., Wark, P. A., Riboli, E., and Trichopoulou, A.
- Published
- 2013
- Full Text
- View/download PDF
61. Alcohol dehydrogenase and aldehyde dehydrogenase gene polymorphisms, alcohol intake and the risk of colorectal cancer in the European Prospective Investigation into Cancer and Nutrition study
- Author
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Ferrari, P, McKay, J D, Jenab, M, Brennan, P, Canzian, F, Vogel, U, Tjønneland, A, Overvad, K, Tolstrup, J S, Boutron-Ruault, M-C, Clavel-Chapelon, F, Morois, S, Kaaks, R, Boeing, H, Bergmann, M, Trichopoulou, A, Katsoulis, M, Trichopoulos, D, Krogh, V, Panico, S, Sacerdote, C, Palli, D, Tumino, R, Peeters, P H, van Gils, C H, Bueno-de-Mesquita, B, Vrieling, A, Lund, E, Hjartåker, A, Agudo, A, Suarez, L R, Arriola, L, Chirlaque, M-D, Ardanaz, E, Sánchez, M-J, Manjer, J, Lindkvist, B, Hallmans, G, Palmqvist, R, Allen, N, Key, T, Khaw, K-T, Slimani, N, Rinaldi, S, Romieu, I, Boffetta, P, Romaguera, D, Norat, T, and Riboli, E
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- 2012
- Full Text
- View/download PDF
62. Supplement to: Behavioral and dietary risk factors for noncommunicable diseases.
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Ezzati, M and Riboli, E.
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- 2013
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63. Metabolic perturbations prior to hepatocellular carcinoma diagnosis: Findings from a prospective observational cohort study
- Author
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Stepien, M., Keski-Rahkonen, P., Kiss, A., Robinot, N., Duarte-Salles, T., Murphy, N., Perlemuter, G., Viallon, V., Tjønneland, A., Rostgaard-Hansen, A.L., Dahm, C.C., Overvad, K., Boutron-Ruault, M.-C., Mancini, F.R., Mahamat-Saleh, Y., Aleksandrova, K., Kaaks, R., Kühn, T., Trichopoulou, A., Karakatsani, A., Panico, S., Tumino, R., Palli, D., Tagliabue, G., Naccarati, A., Vermeulen, R.C.H., Bueno-de-Mesquita, H.B., Weiderpass, E., Skeie, G., Ramón Quirós, J., Ardanaz, E., Mokoroa, O., Sala, N., Sánchez, M.-J., Huerta, J.M., Winkvist, A., Harlid, S., Ohlsson, B., Sjöberg, K., Wareham, N., Khaw, K.-T., Ferrari, P., Rothwell, J.A., Gunter, M., Riboli, E., Scalbert, A., Jenab, M., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2
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untargeted metabolomics ,Cancer Research ,prospective observational cohort ,Oncology ,hepatocellular carcinoma - Abstract
Hepatocellular carcinoma (HCC) development entails changes in liver metabolism. Current knowledge on metabolic perturbations in HCC is derived mostly from case-control designs, with sparse information from prospective cohorts. Our objective was to apply comprehensive metabolite profiling to detect metabolites whose serum concentrations are associated with HCC development, using biological samples from within the prospective European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (>520 000 participants), where we identified 129 HCC cases matched 1:1 to controls. We conducted high-resolution untargeted liquid chromatography-mass spectrometry-based metabolomics on serum samples collected at recruitment prior to cancer diagnosis. Multivariable conditional logistic regression was applied controlling for dietary habits, alcohol consumption, smoking, body size, hepatitis infection and liver dysfunction. Corrections for multiple comparisons were applied. Of 9206 molecular features detected, 220 discriminated HCC cases from controls. Detailed feature annotation revealed 92 metabolites associated with HCC risk, of which 14 were unambiguously identified using pure reference standards. Positive HCC-risk associations were observed for N1-acetylspermidine, isatin, p-hydroxyphenyllactic acid, tyrosine, sphingosine, l,l-cyclo(leucylprolyl), glycochenodeoxycholic acid, glycocholic acid and 7-methylguanine. Inverse risk associations were observed for retinol, dehydroepiandrosterone sulfate, glycerophosphocholine, γ-carboxyethyl hydroxychroman and creatine. Discernible differences for these metabolites were observed between cases and controls up to 10 years prior to diagnosis. Our observations highlight the diversity of metabolic perturbations involved in HCC development and replicate previous observations (metabolism of bile acids, amino acids and phospholipids) made in Asian and Scandinavian populations. These findings emphasize the role of metabolic pathways associated with steroid metabolism and immunity and specific dietary and environmental exposures in HCC development.
- Published
- 2021
64. Development and validation of a lifestyle-based model for colorectal cancer risk prediction: the LiFeCRC score
- Author
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Aleksandrova, K. Reichmann, R. Kaaks, R. Jenab, M. Bueno-de-Mesquita, H.B. Dahm, C.C. Eriksen, A.K. Tjønneland, A. Artaud, F. Boutron-Ruault, M.-C. Severi, G. Hüsing, A. Trichopoulou, A. Karakatsani, A. Peppa, E. Panico, S. Masala, G. Grioni, S. Sacerdote, C. Tumino, R. Elias, S.G. May, A.M. Borch, K.B. Sandanger, T.M. Skeie, G. Sánchez, M.-J. Huerta, J.M. Sala, N. Gurrea, A.B. Quirós, J.R. Amiano, P. Berntsson, J. Drake, I. van Guelpen, B. Harlid, S. Key, T. Weiderpass, E. Aglago, E.K. Cross, A.J. Tsilidis, K.K. Riboli, E. Gunter, M.J.
- Abstract
Background: Nutrition and lifestyle have been long established as risk factors for colorectal cancer (CRC). Modifiable lifestyle behaviours bear potential to minimize long-term CRC risk; however, translation of lifestyle information into individualized CRC risk assessment has not been implemented. Lifestyle-based risk models may aid the identification of high-risk individuals, guide referral to screening and motivate behaviour change. We therefore developed and validated a lifestyle-based CRC risk prediction algorithm in an asymptomatic European population. Methods: The model was based on data from 255,482 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study aged 19 to 70 years who were free of cancer at study baseline (1992–2000) and were followed up to 31 September 2010. The model was validated in a sample comprising 74,403 participants selected among five EPIC centres. Over a median follow-up time of 15 years, there were 3645 and 981 colorectal cancer cases in the derivation and validation samples, respectively. Variable selection algorithms in Cox proportional hazard regression and random survival forest (RSF) were used to identify the best predictors among plausible predictor variables. Measures of discrimination and calibration were calculated in derivation and validation samples. To facilitate model communication, a nomogram and a web-based application were developed. Results: The final selection model included age, waist circumference, height, smoking, alcohol consumption, physical activity, vegetables, dairy products, processed meat, and sugar and confectionary. The risk score demonstrated good discrimination overall and in sex-specific models. Harrell’s C-index was 0.710 in the derivation cohort and 0.714 in the validation cohort. The model was well calibrated and showed strong agreement between predicted and observed risk. Random survival forest analysis suggested high model robustness. Beyond age, lifestyle data led to improved model performance overall (continuous net reclassification improvement = 0.307 (95% CI 0.264–0.352)), and especially for young individuals below 45 years (continuous net reclassification improvement = 0.364 (95% CI 0.084–0.575)). Conclusions: LiFeCRC score based on age and lifestyle data accurately identifies individuals at risk for incident colorectal cancer in European populations and could contribute to improved prevention through motivating lifestyle change at an individual level. © 2020, The Author(s).
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- 2021
65. The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium
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Guida, F., Tan, V.Y., Corbin, L.J., Smith-Byrne, K., Alcala, K., Langenberg, C., Stewart, I.D., Butterworth, A.S., Surendran, P., Achaintre, D., Adamski, J., Exezarreta, P.A., Bergmann, M.M., Bull, C.J., Dahm, C.C., Gicquiau, A., Giles, G.G., Gunter, M.J., Haller, T., Langhammer, A., Larose, T.L., Ljungberg, B., Metspalu, A., Milne, R.L., Muller, D.C., Nøst, T.H., Sørgjerd, E.P., Prehn, C., Riboli, E., Rinaldi, S., Rothwell, J.A., Scalbert, A., Schmidt, J.A., Severi, G., Sieri, S., Vermeulen, R., Vincent, E.E., Waldenberger, M., Timpson, N.J., Johansson, M., Afd. Theologie, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Langenberg, Claudia [0000-0002-5017-7344], Butterworth, Adam [0000-0002-6915-9015], Apollo - University of Cambridge Repository, Cancer Research UK, Guida, Florence [0000-0002-9652-2430], Tan, Vanessa Y. [0000-0001-7938-127X], Corbin, Laura J. [0000-0002-4032-9500], Alcala, Karine [0000-0003-2308-9880], Adamski, Jerzy [0000-0001-9259-0199], Bull, Caroline J. [0000-0002-2176-5120], Dahm, Christina C. [0000-0003-0481-2893], Giles, Graham G. [0000-0003-4946-9099], Langhammer, Arnulf [0000-0001-5296-6673], Ljungberg, Börje [0000-0002-4121-3753], Milne, Roger L. [0000-0001-5764-7268], Nøst, Therese H. [0000-0001-6805-3094], Pettersen Sørgjerd, Elin [0000-0002-5995-2386], Prehn, Cornelia [0000-0002-1274-4715], Riboli, Elio [0000-0001-6795-6080], Rothwell, Joseph A. [0000-0002-6927-3360], Scalbert, Augustin [0000-0001-6651-6710], Schmidt, Julie A. [0000-0002-7733-8750], Severi, Gianluca [0000-0001-7157-419X], Sieri, Sabina [0000-0001-5201-172X], Vincent, Emma E. [0000-0002-8917-7384], Timpson, Nicholas J. [0000-0002-7141-9189], Johansson, Mattias [0000-0002-3116-5081], Tan, Vanessa Y [0000-0001-7938-127X], Corbin, Laura J [0000-0002-4032-9500], Bull, Caroline J [0000-0002-2176-5120], Dahm, Christina C [0000-0003-0481-2893], Giles, Graham G [0000-0003-4946-9099], Milne, Roger L [0000-0001-5764-7268], Muller, David C [0000-0002-2350-0417], Nøst, Therese H [0000-0001-6805-3094], Rothwell, Joseph A [0000-0002-6927-3360], Schmidt, Julie A [0000-0002-7733-8750], Vincent, Emma E [0000-0002-8917-7384], Timpson, Nicholas J [0000-0002-7141-9189], Afd. Theologie, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2
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Male ,Epidemiology ,Single Nucleotide Polymorphisms ,Physiology ,Biochemistry ,Body Mass Index ,0302 clinical medicine ,Risk Factors ,Metabolites ,Medicine ,Prospective Studies ,Prospective cohort study ,11 Medical and Health Sciences ,2. Zero hunger ,Medicine(all) ,0303 health sciences ,Cancer Risk Factors ,Incidence ,Neurochemistry ,General Medicine ,Neurotransmitters ,Middle Aged ,Kidney Neoplasms ,3. Good health ,Europe ,Oncology ,Nephrology ,030220 oncology & carcinogenesis ,Renal Cancer ,Metabolome ,Female ,Metabolic Pathways ,Metabolic Labeling ,ICEP ,Glutamate ,Research Article ,Victoria ,Risk Assessment ,03 medical and health sciences ,General & Internal Medicine ,Genetics ,Xenobiotic Metabolism ,Humans ,Metabolomics ,Obesity ,Risk factor ,Molecular Biology Techniques ,Molecular Biology ,030304 developmental biology ,Aged ,Medicine and health sciences ,Cancer och onkologi ,Biology and life sciences ,business.industry ,Case-control study ,Cancer ,Odds ratio ,Mendelian Randomization Analysis ,medicine.disease ,Research and analysis methods ,Metabolism ,Cell Labeling ,Medical Risk Factors ,Cancer and Oncology ,Case-Control Studies ,business ,Kidney cancer ,Body mass index ,Biomarkers ,Neuroscience - Abstract
Background Excess bodyweight and related metabolic perturbations have been implicated in kidney cancer aetiology, but the specific molecular mechanisms underlying these relationships are poorly understood. In this study, we sought to identify circulating metabolites that predispose kidney cancer and to evaluate the extent to which they are influenced by body mass index (BMI). Methods and findings We assessed the association between circulating levels of 1,416 metabolites and incident kidney cancer using pre-diagnostic blood samples from up to 1,305 kidney cancer case–control pairs from 5 prospective cohort studies. Cases were diagnosed on average 8 years after blood collection. We found 25 metabolites robustly associated with kidney cancer risk. In particular, 14 glycerophospholipids (GPLs) were inversely associated with risk, including 8 phosphatidylcholines (PCs) and 2 plasmalogens. The PC with the strongest association was PC ae C34:3 with an odds ratio (OR) for 1 standard deviation (SD) increment of 0.75 (95% confidence interval [CI]: 0.68 to 0.83, p = 2.6 × 10−8). In contrast, 4 amino acids, including glutamate (OR for 1 SD = 1.39, 95% CI: 1.20 to 1.60, p = 1.6 × 10−5), were positively associated with risk. Adjusting for BMI partly attenuated the risk association for some—but not all—metabolites, whereas other known risk factors of kidney cancer, such as smoking and alcohol consumption, had minimal impact on the observed associations. A mendelian randomisation (MR) analysis of the influence of BMI on the blood metabolome highlighted that some metabolites associated with kidney cancer risk are influenced by BMI. Specifically, elevated BMI appeared to decrease levels of several GPLs that were also found inversely associated with kidney cancer risk (e.g., −0.17 SD change [ßBMI] in 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2) levels per SD change in BMI, p = 3.4 × 10−5). BMI was also associated with increased levels of glutamate (ßBMI: 0.12, p = 1.5 × 10−3). While our results were robust across the participating studies, they were limited to study participants of European descent, and it will, therefore, be important to evaluate if our findings can be generalised to populations with different genetic backgrounds. Conclusions This study suggests a potentially important role of the blood metabolome in kidney cancer aetiology by highlighting a wide range of metabolites associated with the risk of developing kidney cancer and the extent to which changes in levels of these metabolites are driven by BMI—the principal modifiable risk factor of kidney cancer., In a case-control study, Florence Guida and colleagues identify metabolites associated with risk of kidney cancer, and use Mendelian randomization techniques to study the role of body mass index in this relationship., Author summary Why was this study done? Several modifiable risk factors have been established for kidney cancer, among which elevated body mass index (BMI) and obesity are central. The biological mechanisms underlying these relationships are poorly understood, but obesity-related metabolic perturbations may be important. What did the researchers do and find? We looked at the association between kidney cancer and the levels of 1,416 metabolites measured in blood on average 8 years before the disease onset. The study included 1,305 kidney cancer cases and 1,305 healthy controls. We found 25 metabolites robustly associated with kidney cancer risk. Specifically, multiple glycerophospholipids (GPLs) were inversely associated with risk, while several amino acids were positively associated with risk. Accounting for BMI highlighted that some—but not all—metabolites associated with kidney cancer risk are influenced by BMI. What do these findings mean? These findings illustrate the potential utility of prospectively measured metabolites in helping us to understand the aetiology of kidney cancer. By examining overlap between the metabolomic profile of prospective risk of kidney cancer and that of modifiable risk factors for the disease—in this case BMI—we can begin to identify biological pathways relevant to disease onset.
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- 2021
66. Metabolic perturbations prior to hepatocellular carcinoma diagnosis: Findings from a prospective observational cohort study
- Author
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Stepien, M. Keski-Rahkonen, P. Kiss, A. Robinot, N. Duarte-Salles, T. Murphy, N. Perlemuter, G. Viallon, V. Tjønneland, A. Rostgaard-Hansen, A.L. Dahm, C.C. Overvad, K. Boutron-Ruault, M.-C. Mancini, F.R. Mahamat-Saleh, Y. Aleksandrova, K. Kaaks, R. Kühn, T. Trichopoulou, A. Karakatsani, A. Panico, S. Tumino, R. Palli, D. Tagliabue, G. Naccarati, A. Vermeulen, R.C.H. Bueno-de-Mesquita, H.B. Weiderpass, E. Skeie, G. Ramón Quirós, J. Ardanaz, E. Mokoroa, O. Sala, N. Sánchez, M.-J. Huerta, J.M. Winkvist, A. Harlid, S. Ohlsson, B. Sjöberg, K. Schmidt, J.A. Wareham, N. Khaw, K.-T. Ferrari, P. Rothwell, J.A. Gunter, M. Riboli, E. Scalbert, A. Jenab, M.
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digestive system diseases - Abstract
Hepatocellular carcinoma (HCC) development entails changes in liver metabolism. Current knowledge on metabolic perturbations in HCC is derived mostly from case-control designs, with sparse information from prospective cohorts. Our objective was to apply comprehensive metabolite profiling to detect metabolites whose serum concentrations are associated with HCC development, using biological samples from within the prospective European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (>520 000 participants), where we identified 129 HCC cases matched 1:1 to controls. We conducted high-resolution untargeted liquid chromatography-mass spectrometry-based metabolomics on serum samples collected at recruitment prior to cancer diagnosis. Multivariable conditional logistic regression was applied controlling for dietary habits, alcohol consumption, smoking, body size, hepatitis infection and liver dysfunction. Corrections for multiple comparisons were applied. Of 9206 molecular features detected, 220 discriminated HCC cases from controls. Detailed feature annotation revealed 92 metabolites associated with HCC risk, of which 14 were unambiguously identified using pure reference standards. Positive HCC-risk associations were observed for N1-acetylspermidine, isatin, p-hydroxyphenyllactic acid, tyrosine, sphingosine, l,l-cyclo(leucylprolyl), glycochenodeoxycholic acid, glycocholic acid and 7-methylguanine. Inverse risk associations were observed for retinol, dehydroepiandrosterone sulfate, glycerophosphocholine, γ-carboxyethyl hydroxychroman and creatine. Discernible differences for these metabolites were observed between cases and controls up to 10 years prior to diagnosis. Our observations highlight the diversity of metabolic perturbations involved in HCC development and replicate previous observations (metabolism of bile acids, amino acids and phospholipids) made in Asian and Scandinavian populations. These findings emphasize the role of metabolic pathways associated with steroid metabolism and immunity and specific dietary and environmental exposures in HCC development. © 2020 UICC
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- 2021
67. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants
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Zhou, B, Carrillo-Larco, Rm, Danaei, G, Riley, Lm, Paciorek, Cj, Stevens, Ga, Gregg, Ew, Bennett, Je, Solomon, B, Singleton, Rk, Sophiea, Mk, Iurilli, Mlc, Lhoste, Vpf, Cowan, Mj, Savin, S, Woodward, M, Balanova, Y, Cifkova, R, Damasceno, A, Elliott, P, Farzadfar, F, He, J, Ikeda, N, Kengne, Ap, Khang, Yh, Kim, Hc, Laxmaiah, A, Lin, Hh, Maira, Pm, Miranda, Jj, Neuhauser, H, Sundstrom, J, Varghese, C, Widyahening, Is, Zdrojewski, T, Ezzati, M, Abarca-Gomez, L, Abdeen, Za, Rahim, Hfa, Abu-Rmeileh, Nm, Acosta-Cazares, B, Adams, Rj, Aekplakorn, W, Afsana, K, Afzal, S, Agdeppa, Ia, Aghazadeh-Attari, J, Aguilar-Salinas, Ca, Agyemang, C, Ahmad, Na, Ahmadi, A, Ahmadi, N, Ahmadizar, F, Ahmed, Sh, Ahrens, W, Ajlouni, K, Al-Raddadi, R, Alarouj, M, Albuhairan, F, Aldhukair, S, Ali, Mm, Alkandari, A, Alkerwi, A, Allin, K, Aly, E, Amarapurkar, Dn, Amougou, N, Amouyel, P, Andersen, Lb, Anderssen, Sa, Anjana, Rm, Ansari-Moghaddam, A, Ansong, D, Aounallah-Skhiri, H, Araujo, J, Ariansen, I, Aris, T, Arku, Re, Arlappa, N, Aryal, Kk, Aspelund, T, Assah, Fk, Assuncao, Mcf, Auvinen, J, Avdicova, M, Azevedo, A, Azimi-Nezhad, M, Azizi, F, Azmin, M, Babu, Bv, Bahijri, S, Balakrishna, N, Bamoshmoosh, M, Banach, M, Banadinovic, M, Bandosz, P, Banegas, Jr, Baran, J, Barbagallo, Cm, Barcelo, A, Barkat, A, Barreto, M, Barros, Ajd, Barros, Mvg, Bartosiewicz, A, Basit, A, Bastos, Jld, Bata, I, Batieha, Am, Batyrbek, A, Baur, La, Beaglehole, R, Belavendra, A, Ben Romdhane, H, Benet, M, Benson, Ls, Berkinbayev, S, Bernabe-Ortiz, A, Bettiol, H, Bezerra, J, Bhagyalaxmi, A, Bhargava, Sk, Bia, D, Biasch, K, Lele, Ecb, Bikbov, Mm, Bista, B, Bjerregaard, P, Bjertness, E, Bjertness, Mb, Bjorkelund, C, Bloch, Kv, Blokstra, A, Bo, S, Bobak, M, Boeing, H, Boggia, Jg, Boissonnet, Cp, Bojesen, Se, Bongard, V, Bonilla-Vargas, A, Bopp, M, Borghs, H, Bovet, P, Boyer, Cb, Braeckman, L, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, Lm, Briceno, Y, Brito, M, Bruno, G, Bueno-de-Mesquita, Hb, Bueno, G, Bugge, A, Burns, C, Bursztyn, M, de Leon, Ac, Cacciottolo, J, Cameron, C, Can, G, Candido, Apc, Capanzana, Mv, Capkova, N, Capuano, E, Capuano, V, Cardoso, Vc, Carlsson, Ac, Carvalho, J, Casanueva, Ff, Censi, L, Cervantes-Loaiza, M, Chadjigeorgiou, Ca, Chamukuttan, S, Chan, Aw, Chan, Q, Chaturvedi, Hk, Chaturvedi, N, Chee, Ml, Chen, Cj, Chen, Ff, Chen, Hs, Chen, Sh, Chen, Zm, Cheng, Cy, Cheraghian, B, Dekkaki, Ic, Chetrit, A, Chien, Kl, Chiolero, A, Chiou, St, Chirita-Emandi, A, Chirlaque, Md, Cho, B, Christensen, K, Christofaro, Dg, Chudek, J, Cinteza, E, Claessens, F, Clarke, J, Clays, E, Cohen, E, Concin, H, Cooper, C, Coppinger, Tc, Costanzo, S, Cottel, D, Cowell, C, Craig, Cl, Crampin, Ac, Crujeiras, Ab, Cruz, Jj, Csilla, S, Cui, Lf, Cureau, Fv, Cuschieri, S, D'Arrigo, G, D'Orsi, E, Dallongeville, J, Dankner, R, Dantoft, Tm, Dauchet, L, Davletov, K, De Backer, G, De Bacquer, D, De Curtis, A, de Gaetano, G, De Henauw, S, de Oliveira, Pd, De Ridder, D, De Smedt, D, Deepa, M, Deev, Ad, Degennaro, V, Delisle, H, Demarest, S, Dennison, E, Deschamps, V, Dhimal, M, Di Castelnuovo, Af, Dias-da-Costa, Js, Diaz, A, Dickerson, Tt, Dika, Z, Djalalinia, S, Htp, Do, Dobson, Aj, Donfrancesco, C, Donoso, Sp, Doring, A, Dorobantu, M, Dorr, M, Doua, K, Dragano, N, Drygas, W, Duante, Ca, Duboz, P, Duda, Rb, Dulskiene, V, Dushpanova, A, Dzakula, A, Dzerve, V, Dziankowska-Zaborszczyk, E, Eddie, R, Eftekhar, E, Eggertsen, R, Eghtesad, S, Eiben, G, Ekelund, U, El-Khateeb, M, El Ati, J, Eldemire-Shearer, D, Eliasen, M, Elosua, R, Erasmus, Rt, Erbel, R, Erem, C, Eriksen, L, Eriksson, Jg, Escobedo-de la Pena, J, Eslami, S, Esmaeili, A, Evans, A, Faeh, D, Fakhretdinova, Aa, Fall, Ch, Faramarzi, E, Farjam, M, Fattahi, Mr, Fawwad, A, Felix-Redondo, Fj, Felix, Sb, Ferguson, Ts, Fernandes, Ra, Fernandez-Berges, D, Ferrante, D, Ferrao, T, Ferrari, M, Ferrario, Mm, Ferreccio, C, Ferreira, Hs, Ferrer, E, Ferrieres, J, Figueiro, Th, Fink, G, Fischer, K, Foo, Lh, Forsner, M, Fouad, Hm, Francis, Dk, Grego, Franco, Frikke-Schmidt, R, Frontera, G, Fuchs, Fd, Fuchs, Sc, Fujita, Y, Fumihiko, M, Furdela, V, Furer, A, Furusawa, T, Gaciong, Z, Galbarczyk, A, Galenkamp, H, Galvano, F, Gao, Jl, Gao, P, Garcia-de-la-Hera, M, Garcia, P, Gareta, D, Garnett, Sp, Gaspoz, Jm, Gasull, M, Gazzinelli, A, Gehring, U, Geleijnse, Jm, George, R, Ghanbari, A, Ghasemi, E, Gheorghe-Fronea, Of, Ghimire, A, Gialluisi, A, Giampaoli, S, Gieger, C, Gill, Tk, Giovannelli, J, Gironella, G, Giwercman, A, Gkiouras, K, Goldberg, M, Goldsmith, Ra, Gomez, Lf, Gomula, A, da Silva, Bgc, Goncalves, H, Goncalves, M, Gonzalez-Chica, Da, Gonzalez-Gross, M, Gonzalez-Rivas, Jp, Gonzalez-Villalpando, C, Gonzalez-Villalpando, Me, Gonzalez, Ar, Gorbea, Mb, Gottrand, F, Graff-Iversen, S, Grafnetter, D, Grajda, A, Grammatikopoulou, Mg, Gregor, Rd, Grodzicki, T, Grosso, G, Gruden, G, Df, Gu, Guan, Op, Gudmundsson, Ef, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, Al, Gulliford, Mc, Gunnlaugsdottir, J, Gunter, Mj, Gupta, Pc, Gupta, R, Gureje, O, Gurzkowska, B, Gutierrez, L, Gutzwiller, F, Ha, S, Hadaegh, F, Haghshenas, R, Hakimi, H, Halkjaer, J, Hambleton, Ir, Hamzeh, B, Hange, D, Hanif, Aam, Hantunen, S, Hao, J, Hardman, Cm, Kumar, Rh, Hashemi-Shahri, Sm, Hata, J, Haugsgjerd, T, Hayes, Aj, Yn, He, Heier, M, Hendriks, Me, Henrique, Rd, Henriques, A, Cadena, Lh, Herrala, S, Heshmat, R, Hill, Ag, Sy, Ho, Sc, Ho, Hobbs, M, Holdsworth, M, Homayounfar, R, Dinc, Gh, Horimoto, Arvr, Hormiga, Cm, Horta, Bl, Houti, L, Howitt, C, Htay, Tt, Htet, As, Htike, Mmt, Yh, Hu, Huerta, Jm, Huhtaniemi, It, Huiart, L, Huisman, M, Husseini, As, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, Ag, Ibrahim, Mm, Wong, Ni, Ikram, Ma, Iotova, V, Irazola, Ve, Ishida, T, Isiguzo, Gc, Islam, M, Islam, Sms, Iwasaki, M, Jackson, Rt, Jacobs, Jm, Jaddou, Hy, Jafar, T, James, K, Jamrozik, K, Janszky, I, Janus, E, Jarvelin, Mr, Jasienska, G, Jelakovic, A, Jelakovic, B, Jennings, G, Jha, Ak, Jiang, Cq, Jimenez, Ro, Jockel, Kh, Joffres, M, Johansson, M, Jokelainen, Jj, Jonas, Jb, Jorgensen, T, Joshi, P, Joukar, F, Jozwiak, J, Juolevi, A, Jurak, G, Juresa, V, Kaaks, R, Kafatos, A, Kajantie, Eo, Kalmatayeva, Z, Kalpourtzi, N, Kalter-Leibovici, O, Kampmann, Fb, Kannan, S, Karaglani, E, Karhus, Ll, Karki, Kb, Katibeh, M, Katz, J, Kauhanen, J, Kaur, P, Kavousi, M, Kazakbaeva, Gm, Keil, U, Boker, Lk, Keinanen-Kiukaanniemi, S, Kelishadi, R, Kemper, Hcg, Keramati, M, Kerimkulova, A, Kersting, M, Key, T, Khader, Ys, Khalili, D, Khaw, Kt, Kheiri, B, Kheradmand, M, Khosravi, A, Kiechl-Kohlendorfer, U, Kiechl, S, Killewo, J, Kim, Dw, Kim, J, Klakk, H, Klimek, M, Klumbiene, J, Knoflach, M, Kolle, E, Kolsteren, P, Kontto, Jp, Korpelainen, R, Korrovits, P, Kos, J, Koskinen, S, Kouda, K, Kowlessur, S, Koziel, S, Kratenova, J, Kriaucioniene, V, Kristensen, Pl, Krokstad, S, Kromhout, D, Kruger, Hs, Kubinova, R, Kuciene, R, Kujala, Um, Kulaga, Z, Kumar, Rk, Kurjata, P, Kusuma, Ys, Kutsenko, V, Kuulasmaa, K, Kyobutungi, C, Laatikainen, T, Lachat, C, Laid, Y, Lam, Th, Landrove, O, Lanska, V, Lappas, G, Larijani, B, Latt, Ts, Le Coroller, G, Bao, Kln, Le, THUY DUNG, Lee, J, Lehmann, N, Lehtimaki, T, Lemogoum, D, Levitt, Ns, Yp, Li, Lilly, Cl, Lim, Wy, Lima-Costa, Mf, Lin, X, Lin, Yt, Lind, L, Lingam, V, Linneberg, A, Lissner, L, Litwin, M, Wc, Lo, Loit, Hm, Lopez-Garcia, E, Lopez, T, Lotufo, Pa, Lozano, Je, Lovrencic, Il, Lukrafka, Jl, Luksiene, D, Lundqvist, A, Lundqvist, R, Lunet, N, Lustigova, M, Luszczki, E, Gs, Ma, Ma, J, Machado-Coelho, Gll, Machado-Rodrigues, Am, Macia, E, Macieira, Lm, Madar, Aa, Maggi, S, Magliano, Dj, Magriplis, E, Mahasampath, G, Maire, B, Majer, M, Makdisse, M, Malekzadeh, F, Malekzadeh, R, Malhotra, R, Mallikharjuna, K, Malyutina, Sk, Maniego, Lv, Manios, Y, Mann, Ji, Mansour-Ghanaei, F, Manzato, E, Marcil, A, Margozzini, P, Marild, Sb, Glavic, Mm, Marques-Vidal, P, Marques, Lp, Marrugat, J, Martorell, R, Mascarenhas, Lp, Matasin, M, Mathiesen, Eb, Mathur, P, Matijasevich, A, Matlosz, P, Matsha, Te, Mavrogianni, C, Mbanya, Jcn, Posso, Ajm, Mcfarlane, Sr, Mcgarvey, St, Mclachlan, S, Mclean, Rm, Mclean, Sb, Mcnulty, Ba, Benchekor, Sm, Medzioniene, J, Mehdipour, P, Mehlig, K, Mehrparvar, Ah, Meirhaeghe, A, Meisinger, C, Montano, Cm, Menezes, Amb, Menon, Gr, Mereke, A, Meshram, Ii, Metspalu, A, Meyer, He, Mi, J, Michels, N, Mikkel, K, Milkowska, K, Miller, Jc, Minderico, Cs, Mini, Gk, Mirjalili, Mr, Mirrakhimov, E, Misigoj-Durakovic, M, Modesti, Pa, Moghaddam, Ss, Mohajer, B, Mohamed, Mk, Mohamed, Sf, Mohammad, K, Mohammadi, Mr, Mohammadi, Z, Mohammadifard, N, Mohammadpourhodki, R, Mohan, V, Mohanna, S, Yusoff, Mfm, Mohebbi, I, Mohebi, F, Moitry, M, Mollehave, Lt, Molnar, D, Momenan, A, Mondo, Ck, Monterrubio-Flores, E, Monyeki, Kdk, Moon, Js, Moosazadeh, M, Moreira, Lb, Morejon, A, Moreno, La, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mostafavi, Sa, Mota, J, Motlagh, Me, Motta, J, Moura-dos-Santos, Ma, Mridha, Mk, Msyamboza, Kp, Tt, Mu, Muhihi, Aj, Muiesan, Ml, Muller-Nurasyid, M, Murphy, N, Mursu, J, Musa, Ki, Milanovic, Sm, Musil, V, Mustafa, N, Nabipour, I, Naderimagham, S, Nagel, G, Naidu, Bm, Najafi, F, Nakamura, H, Namesna, J, Nang, Eek, Nangia, Vb, Narake, S, Ndiaye, Nc, Neal, Wa, Nejatizadeh, A, Nenko, I, Neovius, M, Neuhauser, Hk, Nguyen, Ct, Nguyen, Nd, Nguyen, Qv, Nguyen, Qn, Nieto-Martinez, Re, Niiranen, Tj, Nikitin, Yp, Ninomiya, T, Nishtar, S, Njelekela, Ma, Noale, M, Noboa, Oa, Noorbala, Aa, Norat, T, Nordendahl, M, Nordestgaard, Bg, Noto, D, Nowak-Szczepanska, N, Al Nsour, M, Nunes, B, O'Neill, Tw, O'Reilly, D, Ochimana, C, Oda, E, Odili, An, Oh, K, Ohara, K, Ohtsuka, R, Olie, V, Olinto, Mta, Oliveira, Io, Omar, Ma, Onat, A, Ong, Sk, Ono, Lm, Ordunez, P, Ornelas, R, Ortiz, Pj, Osmond, C, Ostojic, Sm, Ostovar, A, Otero, Ja, Overvad, K, Owusu-Dabo, E, Paccaud, Fm, Padez, C, Pahomova, E, de Paiva, Km, Pajak, A, Palli, D, Palmieri, L, Pan, Wh, Panda-Jonas, S, Panza, F, Paoli, M, Papandreou, D, Park, Sw, Park, S, 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Kazakbaeva, Ulrich Keil, Lital Keinan Boker, Sirkka Keinänen-Kiukaanniemi, Roya Kelishadi, Han Cg Kemper, Maryam Keramati, Alina Kerimkulova, Mathilde Kersting, Timothy Key, Yousef Saleh Khader, Davood Khalili, Kay-Tee Khaw, Bahareh Kheiri, Motahareh Kheradmand, Alireza Khosravi, Ursula Kiechl-Kohlendorfer, Stefan Kiechl, Japhet Killewo, Dong Wook Kim, Jeongseon Kim, Heidi Klakk, Magdalena Klimek, Jurate Klumbiene, Michael Knoflach, Elin Kolle, Patrick Kolsteren, Jukka P Kontto, Raija Korpelainen, Paul Korrovits, Jelena Kos, Seppo Koskinen, Katsuyasu Kouda, Sudhir Kowlessur, Slawomir Koziel, Jana Kratenova, Vilma Kriaucioniene, Peter Lund Kristensen, Steiner Krokstad, Daan Kromhout, Herculina S Kruger, Ruzena Kubinova, Renata Kuciene, Urho M Kujala, Zbigniew Kulaga, R Krishna Kumar, Pawel Kurjata, Yadlapalli S Kusuma, Vladimir Kutsenko, Kari Kuulasmaa, Catherine Kyobutungi, Tiina Laatikainen, Carl Lachat, Youcef Laid, Tai Hing Lam, Orlando Landrove, Vera Lanska, Georg Lappas, Bagher Larijani, Tint Swe Latt, Gwenaëlle Le Coroller, Khanh Le Nguyen Bao, Tuyen D Le, Jeannette Lee, Jeonghee Lee, Nils Lehmann, Terho Lehtimäki, Daniel Lemogoum, Naomi S Levitt, Yanping Li, Christa L Lilly, Wei-Yen Lim, M Fernanda Lima-Costa, Xu Lin, Yi-Ting Lin, Lars Lind, Vijaya Lingam, Allan Linneberg, Lauren Lissner, Mieczyslaw Litwin, Wei-Cheng Lo, Helle-Mai Loit, Esther Lopez-Garcia, Tania Lopez, Paulo A Lotufo, José Eugenio Lozano, Iva Lukačević Lovrenčić, Janice L Lukrafka, Dalia Luksiene, Annamari Lundqvist, Robert Lundqvist, Nuno Lunet, Michala Lustigová, Edyta Luszczki, Guansheng Ma, Jun Ma, George Ll Machado-Coelho, Aristides M Machado-Rodrigues, Enguerran Macia, Luisa M Macieira, Ahmed A Madar, Stefania Maggi, Dianna J Magliano, Emmanuella Magriplis, Gowri Mahasampath, Bernard Maire, Marjeta Majer, Marcia Makdisse, Fatemeh Malekzadeh, Reza Malekzadeh, Rahul Malhotra, Kodavanti Mallikharjuna Rao, Sofia K Malyutina, Lynell V Maniego, Yannis Manios, Jim I Mann, Fariborz 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M., Hantunen, Sari, Hao, Jie, Hardman, Carla Meneses, Kumar, Rachakulla Hari, Hashemi-Shahri, Seyed Mohammad, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J., He, Yuna, Heier, Margit, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Cadena, Leticia Hernandez, Herrala, Sauli, Heshmat, Ramin, Hill, Allan G., Ho, Sai Yin, Ho, Suzanne C., Hobbs, Michael, Holdsworth, Michelle, Homayounfar, Reza, Dinc, Gonul Horasan, Horimoto, Andrea R. V. R., Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, Jose Maria, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huisman, Martijn, Husseini, Abdullatif S., Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iannone, Anna G., Ibrahim, Mohsen M., Wong, Norazizah Ibrahim, Ikram, M. Arfan, Iotova, Violeta, Irazola, Vilma E., Ishida, Takafumi, Isiguzo, Godsent C., Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Iwasaki, Masanori, Jackson, Rod T., Jacobs, Jeremy M., Jaddou, Hashem Y., Jafar, Tazeen, James, Kenneth, Jamrozik, Konrad, Janszky, Imre, Janus, Edward, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelakovic, Ana, Jelakovic, Bojan, Jennings, Garry, Jha, Anjani Kumar, Jiang, Chao Qiang, Jimenez, Ramon O., Joeckel, Karl-Heinz, Joffres, Michel, Johansson, Mattias, Jokelainen, Jari J., Jonas, Jost B., Jorgensen, Torben, Joshi, Pradeep, Joukar, Farahnaz, Jozwiak, Jacek, Juolevi, Anne, Jurak, Gregor, Juresa, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kajantie, Eero O., Kalmatayeva, Zhanna, Kalpourtzi, Natasa, Kalter-Leibovici, Ofra, Kampmann, Freja B., Kannan, Srinivasan, Karaglani, Eva, Karhus, Line L., Karki, Khem B., Katibeh, Marzieh, Katz, Joanne, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M., Keil, Ulrich, Boker, Lital Keinan, Keinanen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kemper, Han C. G., Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Kiechl-Kohlendorfer, Ursula, Kiechl, Stefan, Killewo, Japhet, Kim, Dong Wook, Kim, Jeongseon, Klakk, Heidi, Klimek, Magdalena, Klumbiene, Jurate, Knoflach, Michael, Kolle, Elin, Kolsteren, Patrick, Kontto, Jukka P., Korpelainen, Raija, Korrovits, Paul, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kriaucioniene, Vilma, Kristensen, Peter Lund, Krokstad, Steiner, Kromhout, Daan, Kruger, Herculina S., Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M., Kulaga, Zbigniew, Kumar, R. Krishna, Kurjata, Pawel, Kusuma, Yadlapalli S., Kutsenko, Vladimir, Kuulasmaa, Kari, Kyobutungi, Catherine, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Le Coroller, Gwenaelle, Khanh Le Nguyen Bao, Le, Tuyen D., Lee, Jeannette, Lee, Jeonghee, Lehmann, Nils, Lehtimaki, Terho, Lemogoum, Daniel, Levitt, Naomi S., Li, Yanping, Lilly, Christa L., Lim, Wei-Yen, Lima-Costa, M. Fernanda, Lin, Xu, Lin, Yi-Ting, Lind, Lars, Lingam, Vijaya, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Lo, Wei-Cheng, Loit, Helle-Mai, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A., Lozano, Jose Eugenio, Lovrencic, Iva Lukacevic, Lukrafka, Janice L., Luksiene, Dalia, Lundqvist, Annamari, Lundqvist, Robert, Lunet, Nuno, Lustigova, Michala, Luszczki, Edyta, Ma, Guansheng, Ma, Jun, Machado-Coelho, George L. L., Machado-Rodrigues, Aristides M., Macia, Enguerran, Macieira, Luisa M., Madar, Ahmed A., Maggi, Stefania, Magliano, Dianna J., Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Mallikharjuna, Kodavanti, Malyutina, Sofia K., Maniego, Lynell V., Manios, Yannis, Mann, Jim I., Mansour-Ghanaei, Fariborz, Manzato, Enzo, Marcil, Anie, Margozzini, Paula, Marild, Staffan B., Glavic, Mihalea Marinovic, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martorell, Reynaldo, Mascarenhas, Luis P., Matasin, Marija, Mathiesen, Ellisiv B., Mathur, Prashant, Matijasevich, Alicia, Matlosz, Piotr, Matsha, Tandi E., Mavrogianni, Christina, Mbanya, Jean Claude N., Mc Donald Posso, Anselmo J., McFarlane, Shelly R., McGarvey, Stephen T., McLachlan, Stela, McLean, Rachael M., McLean, Scott B., McNulty, Breige A., Benchekor, Sounnia Mediene, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisinger, Christa, Mendoza Montano, Carlos, Menezes, Ana Maria B., Menon, Geetha R., Mereke, Alibek, Meshram, Indrapal I., Metspalu, Andres, Meyer, Haakon E., Mi, Jie, Michels, Nathalie, Mikkel, Kairit, Milkowska, Karolina, Miller, Jody C., Minderico, Claudia S., Mini, G. K., Mirjalili, Mohammad Reza, Mirrakhimov, Erkin, Misigoj-Durakovic, Marjeta, Modesti, Pietro A., Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K., Mohamed, Shukri F., Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Yusoff, Muhammad Fadhli Mohd, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Mollehave, Line T., Molnar, Denes, Momenan, Amirabbas, Mondo, Charles K., Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K., Moon, Jin Soo, Moosazadeh, Mahmood, Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morgan, Karen, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Andre Moura-dos-Santos, Marcos, Mridha, Malay K., Msyamboza, Kelias P., Mu, Thet Thet, Muhihi, Alfa J., Muiesan, Maria L., Muller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Musa, Kamarul Imran, Milanovic, Sanja Music, Musil, Vera, Mustafa, Norlaila, Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Naidu, Balkish M., Najafi, Farid, Nakamura, Harunobu, Namesna, Jana, Nang, Ei Ei K., Nangia, Vinay B., Narake, Sameer, Ndiaye, Ndeye Coumba, Neal, William A., Nejatizadeh, Azim, Nenko, Ilona, Neovius, Martin, Neuhauser, Hannelore K., Nguyen, Chung T., Nguyen, Nguyen D., Nguyen, Quang V., Quang Ngoc Nguyen, Nieto-Martinez, Ramfis E., Niiranen, Teemu J., Nikitin, Yury P., Ninomiya, Toshiharu, Nishtar, Sania, Njelekela, Marina A., Noale, Marianna, Noboa, Oscar A., Noorbala, Ahmad Ali, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Borge G., Noto, Davide, Nowak-Szczepanska, Natalia, Al Nsour, Mohannad, Nunes, Baltazar, O'Neill, Terence W., O'Reilly, Dermot, Ochimana, Caleb, Oda, Eiji, Odili, Augustine N., Oh, Kyungwon, Ohara, Kumiko, Ohtsuka, Ryutaro, Olie, Valerie, Olinto, Maria Teresa A., Oliveira, Isabel O., Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M., Ordunez, Pedro, Ornelas, Rui, Ortiz, Pedro J., Osmond, Clive, Ostojic, Sergej M., Ostovar, Afshin, Otero, Johanna A., Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pahomova, Elena, de Paiva, Karina Mary, Pajak, Andrzej, Palli, Domenico, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Panza, Francesco, Paoli, Mariela, Papandreou, Dimitrios, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R., Parsaeian, Mahboubeh, Pasquet, Patrick, Patel, Nikhil D., Pavlyshyn, Halyna, Pecin, Ivan, Pednekar, Mangesh S., Pedro, Joao M., Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C., Peres, Karen G. D. A., Peres, Marco A., Peters, Annette, Petkeviciene, Janina, Peykari, Niloofar, Son Thai Pham, Pichardo, Rafael N., Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N., Plans-Rubio, Pedro, Polasek, Ozren, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J., Price, Jacqueline F., Providencia, Rui, Puhakka, Soile E., Puiu, Maria, Punab, Margus, Qasrawi, Radwan F., Qorbani, Mostafa, Queiroz, Daniel, Tran Quoc Bao, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina M., Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Lekhraj, Rampal, Sanjay, Rangel Reina, Daniel A., Rarra, Vayia, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M., Regecova, Valeria, Revilla, Luis, Rezaianzadeh, Abbas, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, de Wit, Tobias F. Rinke, Ritti-Dias, Raphael M., Robitaille, Cynthia, Rodriguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, Maria, Rodriguez-Villamizar, Laura A., Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Romaguera, Dora, Romeo, Elisabetta L., Rosengren, Annika, Roy, Joel G. R., Rubinstein, Adolfo, Ruidavets, Jean-Bernard, Sandra Ruiz-Betancourt, Blanca, Ruiz-Castell, Maria, Rusakova, Iuliia A., Russo, Paola, Rutkowski, Marcin, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sachdev, Harshpal S., Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saidi, Olfa, Saki, Nader, Salanave, Benoit, Salazar Martinez, Eduardo, Salmeron, Diego, Salomaa, Veikko, Salonen, Jukka T., Salvetti, Massimo, Sanchez-Abanto, Jose, Sans, Susana, Santos, Diana A., Santos, Ina S., Santos, Lelita C., Santos, Maria Paula, Santos, Rute, Saramies, Jouko L., Sardinha, Luis B., Sarganas, Giselle, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D., Schargrodsky, Herman, Schipf, Sabine, Schmidt, Carsten O., Schnohr, Peter, Schoettker, Ben, Schramm, Sara, Schultsz, Constance, Schutte, Aletta E., Sebert, Sylvain, Sein, Aye Aye, Sen, Abhijit, Senbanjo, Idowu O., Sepanlou, Sadaf G., Servais, Jennifer, Shalnova, Svetlana A., Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K., Shaw, Jonathan E., Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M., de Moura Silva, Caroline Ramos, Santos Silva, Diego Augusto, Simon, Mary, Simons, Judith, Simons, Leon A., Sjostrom, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobngwi, Eugene, Soderberg, Stefan, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sorensen, Thorkild I. A., Sorgjerd, Elin P., Soric, Maroje, Jerome, Charles Sossa, Soumare, Aicha, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Staessen, Jan A., Starc, Gregor, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D., Stergiou, George S., Stessman, Jochanan, Stieber, Jutta, Stoeckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Suka, Machi, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G., Syddall, Holly E., Sylva, Rene Charles, Szklo, Moyses, Tai, E. Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B., Taylor, Anne, Taylor, Julie, Tebar, William R., Tell, Grethe S., Tello, Tania, Tham, Yih Chung, Thankappan, K. R., Theobald, Holger, Theodoridis, Xenophon, Thinggaard, Mikael, Thomas, Nihal, Thorand, Barbara, Thuesen, Betina H., Timmermans, Erik J., Tjandrarini, Dwi H., Tjonneland, Anne, Toft, Ulla, Tolonen, Hanna K., Tolstrup, Janne S., Topbas, Murat, Topor-Madry, Roman, Jose Tormo, Maria, Tornaritis, Michael J., Torrent, Maties, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh T. H., Trivedi, Atul, Tshepo, Lechaba, Tsugane, Shoichiro, Tuliakova, Azaliia M., Tulloch-Reid, Marshall K., Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L., Twig, Gilad, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ulmer, Hanno, Uusitalo, Hannu M. T., Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M., van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T., Van Herck, Koen, Hoang Van Minh, Van Schoor, Natasja M., van Valkengoed, Irene G. M., van Zutphen, Elisabeth M., Vanuzzo, Diego, Varbo, Anette, Vasan, Senthil K., Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, W. M. Monique, Verstraeten, Roosmarijn, Victora, Cesar G., Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K., Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Ari, Wade, Alisha N., Walton, Janette, Wambiya, Elvis O. A., Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, Wanderley Junior, Rildo de Souza, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S. Goya, Wareham, Nicholas, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H., Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Willeit, Peter, Williams, Emmanuel A., Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A., Wong, Andrew, Wong, Tien Yin, Woo, Jean, Wu, Frederick C., Wu, Shouling, Wyszynska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K., Yoosefi, Moein, Yoshihara, Akihiro, You, San-Lin, Younger-Coleman, Novie O., Yusoff, Ahmad Faudzi, Zainuddin, Ahmad A., Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Elisa Zapata, Maria, Zaw, Ko Ko, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhao, Dong, Zhao, Ming-Hui, Zhen, Shiqi, Zheng, Yingfeng, Zholdin, Bekbolat, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuniga Cisneros, Julio., School of Medicine, ACS - Diabetes & metabolism, APH - Global Health, Pulmonology, Medical Informatics, Adult Psychiatry, Global Health, APH - Quality of Care, APH - Methodology, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, Anesthesiology, Graduate School, and ACS - Heart failure & arrhythmias
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Male ,Latin Americans ,Nutrition and Disease ,Epidemiology ,[SDV]Life Sciences [q-bio] ,Medizin ,BLOOD-PRESSURE ,030204 cardiovascular system & hematology ,Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants ,Hypertension ,Prevalence ,Control ,Tretament ,GUIDELINES ,Global Health ,Worldwide trends ,0302 clinical medicine ,Hypertension prevalence ,Voeding en Ziekte ,Medicine and Health Sciences ,kohonnut verenpaine ,Medicine ,030212 general & internal medicine ,Prevention and Control ,11 Medical and Health Sciences ,ComputingMilieux_MISCELLANEOUS ,education.field_of_study ,food and beverages ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,Noncommunicable diseases ,Period prevalence ,Middle Aged ,kansainvälinen vertailu ,3142 Public health care science, environmental and occupational health ,3. Good health ,MIDDLE-INCOME ,Pooled analysis ,SYSTEMATIC ANALYSIS ,INCOME COUNTRIES ,ADULTS ,PREVENTION ,MANAGEMENT ,ADHERENCE ,DIAGNOSIS ,Western europe ,[SDE]Environmental Sciences ,Hypertension/diagnosis ,NCD Risk Factor Collaboration (NCD-RisC) ,Female ,B990 Subjects Allied to Medicine not elsewhere classified ,Life Sciences & Biomedicine ,Adult ,health-care ,esiintyvyys ,Central asia ,Population ,Nursing ,3121 Internal medicine ,03 medical and health sciences ,Medicine, General & Internal ,Drug Therapy ,General & Internal Medicine ,Life Science ,Humans ,ddc:610 ,education ,Antihypertensive Agents ,VLAG ,Aged ,Science & Technology ,Antihypertensive Agents/therapeutic use ,business.industry ,Omvårdnad ,fungi ,General and internal medicine ,Estados de Saúde e de Doença ,Taking medication ,Treatment ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Blood pressure ,Faculdade de Ciências Sociais ,3121 General medicine, internal medicine and other clinical medicine ,lääkehoito ,1182 Biochemistry, cell and molecular biology ,business ,Demography - Abstract
Background: hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. Methods: we used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. Findings: the number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. Interpretation Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings., British Heart Foundation Centre of Research Excellence Grant; World Health Organization (WHO); Abdul Latif Jameel Institute for Disease and Emergency Analytics Fellowship
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- 2021
68. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight
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Tolonen, H.K. Tolstrup, J.S. Topbas, M. Topór-Madry, R. Torheim, L.E. Tormo, M.J. Tornaritis, M.J. Torrent, M. Torres-Collado, L. Toselli, S. Touloumi, G. Traissac, P. Tran, T.T.-H. Trichopoulos, D. Trichopoulou, A. Trinh, D.T.H. Trivedi, A. Tshepo, L. Tsigga, M. Tsugane, S. Tuliakova, A.M. Tulloch-Reid, M.K. Tullu, F. Tuomainen, T.-P. Tuomilehto, J. Turley, M.L. Twig, G. Tynelius, P. Tzotzas, T. Tzourio, C. Ueda, P. Ugel, E. Ukoli, F.A.M. Ulmer, H. Unal, B. Usupova, Z. Uusitalo, H.M.T. Uysal, N. Vaitkeviciute, J. Valdivia, G. Vale, S. Valvi, D. van Dam, R.M. Van der Heyden, J. van der Schouw, Y.T. Van Herck, K. Van Minh, H. Van Schoor, N.M. van Valkengoed, I.G.M. Vanderschueren, D. Vanuzzo, D. Varbo, A. Varela-Moreiras, G. Varona-Pérez, P. Vasan, S.K. Vega, T. Veidebaum, T. Velasquez-Melendez, G. Velika, B. Veronesi, G. Verschuren, W.M.M. Victora, C.G. Viegi, G. Viet, L. Villalpando, S. Vineis, P. Vioque, J. Virtanen, J.K. Visser, M. Visvikis-Siest, S. Viswanathan, B. Vladulescu, M. Vlasoff, T. Vocanec, D. Vollenweider, P. Völzke, H. Voutilainen, A. Voutilainen, S. Vrijheid, M. Vrijkotte, T.G.M. Wade, A.N. Wagner, A. Waldhör, T. Walton, J. Wambiya, E.O.A. Bebakar, A.M.W. Mohamud, W.N.W. de Souza Wanderley Júnior, R. Wang, M.-D. Wang, N. Wang, Q. Wang, X. Wang, Y.X. Wang, Y.-W. Wannamethee, S.G. Wareham, N. Weber, A. Wedderkopp, N. Weerasekera, D. Weghuber, D. Wei, W. Weres, A. Werner, B. Whincup, P.H. Widhalm, K. Widyahening, I.S. Wiecek, A. Wilks, R.J. Willeit, J. Willeit, P. Williams, J. Wilsgaard, T. Wojtyniak, B. Wong-McClure, R.A. Wong, A. Wong, J.E. Wong, T.Y. Woo, J. Woodward, M. Wu, F.C. Wu, J. Wu, L.J. Wu, S. Xu, H. Xu, L. Yaacob, N.A. Yamborisut, U. Yan, W. Yang, L. Yang, X. Yang, Y. Yardim, N. Yaseri, M. Yasuharu, T. Ye, X. Yiallouros, P.K. Yoosefi, M. Yoshihara, A. You, Q.S. You, S.-L. Younger-Coleman, N.O. Yusof, S.M. Yusoff, A.F. Zaccagni, L. Zafiropulos, V. Zainuddin, A.A. Zakavi, S.R. Zamani, F. Zambon, S. Zampelas, A. Zamrazilová, H. Zapata, M.E. Zargar, A.H. Zaw, K.K. Zdrojewski, T. Zejglicova, K. Vrkic, T.Z. Zeng, Y. Zhang, L. Zhang, Z.-Y. Zhao, D. Zhao, M.-H. Zhao, W. Zhen, S. Zheng, W. Zheng, Y. Zholdin, B. Zhou, M. Zhu, D. Zins, M. Zitt, E. Zocalo, Y. Cisneros, J.Z. Zuziak, M. Ezzati, M. Filippi, S. NCD Risk Factor Collaboration (NCD-RisC)
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nutritional and metabolic diseases ,sense organs ,skin and connective tissue diseases - Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions. © Copyright.
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- 2021
69. Lifetime alcohol intake, drinking patterns over time and risk of stomach cancer: A pooled analysis of data from two prospective cohort studies
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Jayasekara, H. MacInnis, R.J. Lujan-Barroso, L. Mayen-Chacon, A.-L. Cross, A.J. Wallner, B. Palli, D. Ricceri, F. Pala, V. Panico, S. Tumino, R. Kühn, T. Kaaks, R. Tsilidis, K. Sánchez, M.-J. Amiano, P. Ardanaz, E. Chirlaque López, M.D. Merino, S. Rothwell, J.A. Boutron-Ruault, M.-C. Severi, G. Sternby, H. Sonestedt, E. Bueno-de-Mesquita, B. Boeing, H. Travis, R. Sandanger, T.M. Trichopoulou, A. Karakatsani, A. Peppa, E. Tjønneland, A. Yang, Y. Hodge, A.M. Mitchell, H. Haydon, A. Room, R. Hopper, J.L. Weiderpass, E. Gunter, M.J. Riboli, E. Giles, G.G. Milne, R.L. Agudo, A. English, D.R. Ferrari, P.
- Abstract
Alcohol consumption is causally linked to several cancers but the evidence for stomach cancer is inconclusive. In our study, the association between long-term alcohol intake and risk of stomach cancer and its subtypes was evaluated. We performed a pooled analysis of data collected at baseline from 491 714 participants in the European Prospective Investigation into Cancer and Nutrition and the Melbourne Collaborative Cohort Study. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated for incident stomach cancer in relation to lifetime alcohol intake and group-based life course intake trajectories, adjusted for potential confounders including Helicobacter pylori infection. In all, 1225 incident stomach cancers (78% noncardia) were diagnosed over 7 094 637 person-years; 984 in 382 957 study participants with lifetime alcohol intake data (5 455 507 person-years). Although lifetime alcohol intake was not associated with overall stomach cancer risk, we observed a weak positive association with noncardia cancer (HR = 1.03, 95% CI: 1.00-1.06 per 10 g/d increment), with a HR of 1.50 (95% CI: 1.08-2.09) for ≥60 g/d compared to 0.1 to 4.9 g/d. A weak inverse association with cardia cancer (HR = 0.93, 95% CI: 0.87-1.00) was also observed. HRs of 1.48 (95% CI: 1.10-1.99) for noncardia and 0.51 (95% CI: 0.26-1.03) for cardia cancer were observed for a life course trajectory characterized by heavy decreasing intake compared to light stable intake (Phomogeneity =.02). These associations did not differ appreciably by smoking or H pylori infection status. Limiting alcohol use during lifetime, particularly avoiding heavy use during early adulthood, might help prevent noncardia stomach cancer. Heterogeneous associations observed for cardia and noncardia cancers may indicate etiologic differences. © 2021 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.
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- 2021
70. Plant foods, dietary fibre and risk of ischaemic heart disease in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort
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Perez-Cornago, A. Crowe, F.L. Appleby, P.N. Bradbury, K.E. Wood, A.M. Jakobsen, M.U. Johnson, L. Sacerdote, C. Steur, M. Weiderpass, E. Würtz, A.M.L. Kühn, T. Katzke, V. Trichopoulou, A. Karakatsani, A. La Vecchia, C. Masala, G. Tumino, R. Panico, S. Sluijs, I. Skeie, G. Imaz, L. Petrova, D. Quirós, J.R. Yohar, S.M.C. Jakszyn, P. Melander, O. Sonestedt, E. Andersson, J. Wennberg, M. Aune, D. Riboli, E. Schulze, M.B. Di Angelantonio, E. Wareham, N.J. Danesh, J. Forouhi, N.G. Butterworth, A.S. Key, T.J.
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food and beverages - Abstract
Background: Epidemiological evidence indicates that diets rich in plant foods are associated with a lower risk of ischaemic heart disease (IHD), but there is sparse information on fruit and vegetable subtypes and sources of dietary fibre. This study examined the associations of major plant foods, their subtypes and dietary fibre with risk of IHD in the European Prospective Investigation into Cancer and Nutrition (EPIC). Methods: We conducted a prospective analysis of 490 311 men and women without a history of myocardial infarction or stroke at recruitment (12.6 years of follow-up, n cases = 8504), in 10 European countries. Dietary intake was assessed using validated questionnaires, calibrated with 24-h recalls. Multivariable Cox regressions were used to estimate hazard ratios (HR) of IHD. Results: There was a lower risk of IHD with a higher intake of fruit and vegetables combined [HR per 200 g/day higher intake 0.94, 95% confidence interval (CI): 0.90-0.99, P-trend = 0.009], and with total fruits (per 100 g/day 0.97, 0.95-1.00, P-trend = 0.021). There was no evidence for a reduced risk for fruit subtypes, except for bananas. Risk was lower with higher intakes of nuts and seeds (per 10 g/day 0.90, 0.82-0.98, P-trend = 0.020), total fibre (per 10 g/day 0.91, 0.85-0.98, P-trend = 0.015), fruit and vegetable fibre (per 4 g/day 0.95, 0.91-0.99, P-trend = 0.022) and fruit fibre (per 2 g/day 0.97, 0.95-1.00, P-trend = 0.045). No associations were observed between vegetables, vegetables subtypes, legumes, cereals and IHD risk. Conclusions: In this large prospective study, we found some small inverse associations between plant foods and IHD risk, with fruit and vegetables combined being the most strongly inversely associated with risk. Whether these small associations are causal remains unclear. © 2020 The Author(s) 2020. Published by Oxford University Press on behalf of the International Epidemiological Association.
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- 2021
71. Publisher Correction: Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction (Nature Genetics, (2021), 53, 1, (65-75), 10.1038/s41588-020-00748-0).
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Lessel D., Townsend P.A., Aukim-Hastie C., Bush W.S., Aldrich M.C., Crawford D.C., Srivastava S., Cullen J.C., Petrovics G., Casey G., Roobol M.J., Jenster G., van Schaik R.H.N., Hu J.J., Sanderson M., Varma R., McKean-Cowdin R., Torres M., Mancuso N., Berndt S.I., Van Den Eeden S.K., Easton D.F., Chanock S.J., Cook M.B., Wiklund F., Nakagawa H., Witte J.S., Eeles R.A., Kote-Jarai Z., Haiman C.A., Conti D.V., Darst B.F., Moss L.C., Saunders E.J., Sheng X., Chou A., Schumacher F.R., Olama A.A.A., Benlloch S., Dadaev T., Brook M.N., Sahimi A., Hoffmann T.J., Takahashi A., Matsuda K., Momozawa Y., Fujita M., Muir K., Lophatananon A., Wan P., Le Marchand L., Wilkens L.R., Stevens V.L., Gapstur S.M., Carter B.D., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Giles G.G., Southey M.C., MacInnis R.J., Cybulski C., Wokolorczyk D., Lubinski J., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Nordestgaard B.G., Nielsen S.F., Weischer M., Bojesen S.E., Roder M.A., Iversen P., Batra J., Chambers S., Moya L., Horvath L., Clements J.A., Tilley W., Risbridger G.P., Gronberg H., Aly M., Szulkin R., Eklund M., Nordstrom T., Pashayan N., Dunning A.M., Ghoussaini M., Travis R.C., Key T.J., Riboli E., Park J.Y., Sellers T.A., Lin H.-Y., Albanes D., Weinstein S.J., Mucci L.A., Giovannucci E., Lindstrom S., Kraft P., Hunter D.J., Penney K.L., Turman C., Tangen C.M., Goodman P.J., Thompson I.M., Hamilton R.J., Fleshner N.E., Finelli A., Parent M.-E., Stanford J.L., Ostrander E.A., Geybels M.S., Koutros S., Freeman L.E.B., Stampfer M., Wolk A., Hakansson N., Andriole G.L., Hoover R.N., Machiela M.J., Sorensen K.D., Borre M., Blot W.J., Zheng W., Yeboah E.D., Mensah J.E., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Wu Y., Zhao S.-C., Sun Z., Thibodeau S.N., McDonnell S.K., Schaid D.J., West C.M.L., Burnet N., Barnett G., Maier C., Schnoeller T., Luedeke M., Kibel A.S., Drake B.F., Cussenot O., Cancel-Tassin G., Menegaux F., Truong T., Koudou Y.A., John E.M., Grindedal E.M., Maehle L., Khaw K.-T., Ingles S.A., Stern M.C., Vega A., Gomez-Caamano A., Fachal L., Rosenstein B.S., Kerns S.L., Ostrer H., Teixeira M.R., Paulo P., Brandao A., Watya S., Lubwama A., Bensen J.T., Fontham E.T.H., Mohler J., Taylor J.A., Kogevinas M., Llorca J., Castano-Vinyals G., Cannon-Albright L., Teerlink C.C., Huff C.D., Strom S.S., Multigner L., Blanchet P., Brureau L., Kaneva R., Slavov C., Mitev V., Leach R.J., Weaver B., Brenner H., Cuk K., Holleczek B., Saum K.-U., Klein E.A., Hsing A.W., Kittles R.A., Murphy A.B., Logothetis C.J., Kim J., Neuhausen S.L., Steele L., Ding Y.C., Isaacs W.B., Nemesure B., Hennis A.J.M., Carpten J., Pandha H., Michael A., De Ruyck K., De Meerleer G., Ost P., Xu J., Razack A., Lim J., Teo S.-H., Newcomb L.F., Lin D.W., Fowke J.H., Neslund-Dudas C., Rybicki B.A., Gamulin M., Kulis T., Usmani N., Singhal S., Parliament M., Claessens F., Joniau S., Van den Broeck T., Gago-Dominguez M., Castelao J.E., Martinez M.E., Larkin S., Lessel D., Townsend P.A., Aukim-Hastie C., Bush W.S., Aldrich M.C., Crawford D.C., Srivastava S., Cullen J.C., Petrovics G., Casey G., Roobol M.J., Jenster G., van Schaik R.H.N., Hu J.J., Sanderson M., Varma R., McKean-Cowdin R., Torres M., Mancuso N., Berndt S.I., Van Den Eeden S.K., Easton D.F., Chanock S.J., Cook M.B., Wiklund F., Nakagawa H., Witte J.S., Eeles R.A., Kote-Jarai Z., Haiman C.A., Conti D.V., Darst B.F., Moss L.C., Saunders E.J., Sheng X., Chou A., Schumacher F.R., Olama A.A.A., Benlloch S., Dadaev T., Brook M.N., Sahimi A., Hoffmann T.J., Takahashi A., Matsuda K., Momozawa Y., Fujita M., Muir K., Lophatananon A., Wan P., Le Marchand L., Wilkens L.R., Stevens V.L., Gapstur S.M., Carter B.D., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Giles G.G., Southey M.C., MacInnis R.J., Cybulski C., Wokolorczyk D., Lubinski J., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Nordestgaard B.G., Nielsen S.F., Weischer M., Bojesen S.E., Roder M.A., Iversen P., Batra J., Chambers S., Moya L., Horvath L., Clements J.A., Tilley W., Risbridger G.P., Gronberg H., Aly M., Szulkin R., Eklund M., Nordstrom T., Pashayan N., Dunning A.M., Ghoussaini M., Travis R.C., Key T.J., Riboli E., Park J.Y., Sellers T.A., Lin H.-Y., Albanes D., Weinstein S.J., Mucci L.A., Giovannucci E., Lindstrom S., Kraft P., Hunter D.J., Penney K.L., Turman C., Tangen C.M., Goodman P.J., Thompson I.M., Hamilton R.J., Fleshner N.E., Finelli A., Parent M.-E., Stanford J.L., Ostrander E.A., Geybels M.S., Koutros S., Freeman L.E.B., Stampfer M., Wolk A., Hakansson N., Andriole G.L., Hoover R.N., Machiela M.J., Sorensen K.D., Borre M., Blot W.J., Zheng W., Yeboah E.D., Mensah J.E., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Wu Y., Zhao S.-C., Sun Z., Thibodeau S.N., McDonnell S.K., Schaid D.J., West C.M.L., Burnet N., Barnett G., Maier C., Schnoeller T., Luedeke M., Kibel A.S., Drake B.F., Cussenot O., Cancel-Tassin G., Menegaux F., Truong T., Koudou Y.A., John E.M., Grindedal E.M., Maehle L., Khaw K.-T., Ingles S.A., Stern M.C., Vega A., Gomez-Caamano A., Fachal L., Rosenstein B.S., Kerns S.L., Ostrer H., Teixeira M.R., Paulo P., Brandao A., Watya S., Lubwama A., Bensen J.T., Fontham E.T.H., Mohler J., Taylor J.A., Kogevinas M., Llorca J., Castano-Vinyals G., Cannon-Albright L., Teerlink C.C., Huff C.D., Strom S.S., Multigner L., Blanchet P., Brureau L., Kaneva R., Slavov C., Mitev V., Leach R.J., Weaver B., Brenner H., Cuk K., Holleczek B., Saum K.-U., Klein E.A., Hsing A.W., Kittles R.A., Murphy A.B., Logothetis C.J., Kim J., Neuhausen S.L., Steele L., Ding Y.C., Isaacs W.B., Nemesure B., Hennis A.J.M., Carpten J., Pandha H., Michael A., De Ruyck K., De Meerleer G., Ost P., Xu J., Razack A., Lim J., Teo S.-H., Newcomb L.F., Lin D.W., Fowke J.H., Neslund-Dudas C., Rybicki B.A., Gamulin M., Kulis T., Usmani N., Singhal S., Parliament M., Claessens F., Joniau S., Van den Broeck T., Gago-Dominguez M., Castelao J.E., Martinez M.E., and Larkin S.
- Abstract
In the version of this article originally published, the names of the equally contributing authors and jointly supervising authors were switched. The correct affiliations are: "These authors contributed equally: David V. Conti, Burcu F. Darst. These authors jointly supervised this work: David V. Conti, Rosalind A. Eeles, Zsofia Kote-Jarai, Christopher A. Haiman." The error has been corrected in the HTML and PDF versions of the article.Copyright © 2021, The Author(s), under exclusive licence to Springer Nature America, Inc.
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- 2021
72. Vegetable intake and the risk of bladder cancer in the BLadder Cancer Epidemiology and Nutritional Determinants (BLEND) international study.
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Giles G.G., Tjonneland A., Masala G., Milne R.L., Zeegers M.P., Yu E.Y.-W., Wesselius A., Mehrkanoon S., Goosens M., Brinkman M., van den Brandt P., Grant E.J., White E., Weiderpass E., Le Calvez-Kelm F., Gunter M.J., Huybrechts I., Riboli E., Giles G.G., Tjonneland A., Masala G., Milne R.L., Zeegers M.P., Yu E.Y.-W., Wesselius A., Mehrkanoon S., Goosens M., Brinkman M., van den Brandt P., Grant E.J., White E., Weiderpass E., Le Calvez-Kelm F., Gunter M.J., Huybrechts I., and Riboli E.
- Abstract
Background: Although a potential inverse association between vegetable intake and bladder cancer risk has been reported, epidemiological evidence is inconsistent. This research aimed to elucidate the association between vegetable intake and bladder cancer risk by conducting a pooled analysis of data from prospective cohort studies. Method(s): Vegetable intake in relation to bladder cancer risk was examined by pooling individual-level data from 13 cohort studies, comprising 3203 cases among a total of 555,685 participants. Pooled multivariate hazard ratios (HRs), with corresponding 95% confidence intervals (CIs), were estimated using Cox proportional hazards regression models stratified by cohort for intakes of total vegetable, vegetable subtypes (i.e. non-starchy, starchy, green leafy and cruciferous vegetables) and individual vegetable types. In addition, a diet diversity score was used to assess the association of the varied types of vegetable intake on bladder cancer risk. Result(s): The association between vegetable intake and bladder cancer risk differed by sex (P-interaction = 0.011) and smoking status (P-interaction = 0.038); therefore, analyses were stratified by sex and smoking status. With adjustment of age, sex, smoking, energy intake, ethnicity and other potential dietary factors, we found that higher intake of total and non-starchy vegetables were inversely associated with the risk of bladder cancer among women (comparing the highest with lowest intake tertile: HR = 0.79, 95% CI = 0.64-0.98, P = 0.037 for trend, HR per 1 SD increment = 0.89, 95% CI = 0.81-0.99; HR = 0.78, 95% CI = 0.63-0.97, P = 0.034 for trend, HR per 1 SD increment = 0.88, 95% CI = 0.79-0.98, respectively). However, no evidence of association was observed among men, and the intake of vegetable was not found to be associated with bladder cancer when stratified by smoking status. Moreover, we found no evidence of association for diet diversity with bladder cancer risk. Conclusion(s): Hi
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- 2021
73. Smoking modifies pancreatic cancer risk loci on 2q21.3.
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Mocci E., Kundu P., Wheeler W., Arslan A.A., Beane-Freeman L.E., Bracci P.M., Brennan P., Canzian F., Du M., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Le Marchand L., Neale R.E., Shu X.-O., Visvanathan K., White E., Zheng W., Albanes D., Andreotti G., Babic A., Bamlet W.R., Berndt S.I., Blackford A.L., Bueno-De-Mesquita B., Buring J.E., Campa D., Chanock S.J., Childs E.J., Duell E.J., Fuchs C.S., Gaziano J.M., Giovannucci E.L., Goggins M.G., Hartge P., Hassan M.M., Holly E.A., Hoover R.N., Hung R.J., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Ng K., Oberg A.L., Panico S., Peters U., Porta M., Rabe K.G., Riboli E., Rothman N., Scelo G., Sesso H.D., Silverman D.T., Stevens V.L., Strobel O., Thompson I.M., Tjonneland A., Trichopoulou A., van Den Eeden S.K., Wactawski-Wende J., Wentzensen N., Wilkens L.R., Yu H., Yuan F., Zeleniuch-Jacquotte A., Amundadottir L.T., Li D., Jacobs E.J., Petersen G.M., Wolpin B.M., Risch H.A., Kraft P., Chatterjee N., Klein A.P., Stolzenberg-Solomon R., Mocci E., Kundu P., Wheeler W., Arslan A.A., Beane-Freeman L.E., Bracci P.M., Brennan P., Canzian F., Du M., Gallinger S., Giles G.G., Goodman P.J., Kooperberg C., Le Marchand L., Neale R.E., Shu X.-O., Visvanathan K., White E., Zheng W., Albanes D., Andreotti G., Babic A., Bamlet W.R., Berndt S.I., Blackford A.L., Bueno-De-Mesquita B., Buring J.E., Campa D., Chanock S.J., Childs E.J., Duell E.J., Fuchs C.S., Gaziano J.M., Giovannucci E.L., Goggins M.G., Hartge P., Hassan M.M., Holly E.A., Hoover R.N., Hung R.J., Kurtz R.C., Lee I.-M., Malats N., Milne R.L., Ng K., Oberg A.L., Panico S., Peters U., Porta M., Rabe K.G., Riboli E., Rothman N., Scelo G., Sesso H.D., Silverman D.T., Stevens V.L., Strobel O., Thompson I.M., Tjonneland A., Trichopoulou A., van Den Eeden S.K., Wactawski-Wende J., Wentzensen N., Wilkens L.R., Yu H., Yuan F., Zeleniuch-Jacquotte A., Amundadottir L.T., Li D., Jacobs E.J., Petersen G.M., Wolpin B.M., Risch H.A., Kraft P., Chatterjee N., Klein A.P., and Stolzenberg-Solomon R.
- Abstract
Germline variation and smoking are independently associated with pancreatic ductal adenocarcinoma (PDAC). We conducted genome-wide smoking interaction analysis of PDAC using genotype data from four previous genome-wide association studies in individuals of European ancestry (7,937 cases and 11,774 controls). Examination of expression quantitative trait loci data from the Genotype-Tissue Expression Project followed by colocalization analysis was conducted to determine whether there was support for common SNP(s) underlying the observed associations. Statistical tests were two sided and P < 5 10-8 was considered statistically significant. Genome-wide significant evidence of qualitative interaction was identified on chr2q21.3 in intron 5 of the transmembrane protein 163 (TMEM163) and upstream of the cyclin T2 (CCNT2). The most significant SNP using the Empirical Bayes method, in this region that included 45 significantly associated SNPs, was rs1818613 [per allele OR in never smokers 0.87, 95% confidence interval (CI), 0.82-0.93; former smokers 1.00, 95% CI, 0.91-1.07; current smokers 1.25, 95% CI 1.12-1.40, Pinteraction 1/4 3.08 10-9). Examination of the Genotype-Tissue Expression Project data demonstrated an expression quantitative trait locus in this region for TMEM163 and CCNT2 in several tissue types. Colocalization analysis supported a shared SNP, rs842357, in high linkage disequilibrium with rs1818613 (r2 1/4 0. 94) driving both the observed interaction and the expression quantitative trait loci signals. Future studies are needed to confirm and understand the differential biologic mechanisms by smoking status that contribute to our PDAC findings.Copyright © 2021 American Association for Cancer Research.
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- 2021
74. Grain and dietary fiber intake and bladder cancer risk: A pooled analysis of prospective cohort studies.
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Zeegers M.P., Skeie G., Tjonneland A., Riboli E., Giles G.G., Milne R.L., Yu E.Y.W., Wesselius A., Mehrkanoon S., Brinkman M., Van Den Brandt P., White E., Weiderpass E., Le Calvez-Kelm F., Gunter M., Huybrechts I., Liedberg F., Zeegers M.P., Skeie G., Tjonneland A., Riboli E., Giles G.G., Milne R.L., Yu E.Y.W., Wesselius A., Mehrkanoon S., Brinkman M., Van Den Brandt P., White E., Weiderpass E., Le Calvez-Kelm F., Gunter M., Huybrechts I., and Liedberg F.
- Abstract
Background: Higher intakes of whole grains and dietary fiber have been associated with lower risk of insulin resistance, hyperinsulinemia, and inflammation, which are known predisposing factors for cancer. Objective(s): Because the evidence of association with bladder cancer (BC) is limited, we aimed to assess associations with BC risk for intakes of whole grains, refined grains, and dietary fiber. Method(s): We pooled individual data from 574,726 participants in 13 cohort studies, 3214 of whom developed incident BC. HRs, with corresponding 95% CIs, were estimated using Cox regression models stratified on cohort. Dose-response relations were examined using fractional polynomial regression models. Result(s): We found that higher intake of total whole grain was associated with lower risk of BC (comparing highest with lowest intake tertile: HR: 0.87; 95% CI: 0.77, 0.98; HR per 1-SD increment: 0.95; 95% CI: 0.91, 0.99; P for trend: 0.023). No association was observed for intake of total refined grain. Intake of total dietary fiber was also inversely associated with BC risk (comparing highest with lowest intake tertile: HR: 0.86; 95% CI: 0.76, 0.98; HR per 1-SD increment: 0.91; 95% CI: 0.82, 0.98; P for trend: 0.021). In addition, dose-response analyses gave estimated HRs of 0.97 (95% CI: 0.95, 0.99) for intake of total whole grain and 0.96 (95% CI: 0.94, 0.98) for intake of total dietary fiber per 5-g daily increment. When considered jointly, highest intake of whole grains with the highest intake of dietary fiber showed 28% reduced risk (95% CI: 0.54, 0.93; P for trend: 0.031) of BC compared with the lowest intakes, suggesting potential synergism. Conclusion(s): Higher intakes of total whole grain and total dietary fiber are associated with reduced risk of BC individually and jointly. Further studies are needed to clarify the underlying mechanisms for these findings.Copyright © The Author(s) on behalf of the American Society for Nutrition 2020.
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- 2021
75. Lifetime alcohol intake, drinking patterns over time and risk of stomach cancer: A pooled analysis of data from two prospective cohort studies.
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Jayasekara H., MacInnis R.J., Lujan-Barroso L., Mayen-Chacon A.-L., Cross A.J., Wallner B., Palli D., Ricceri F., Pala V., Panico S., Tumino R., Kuhn T., Kaaks R., Tsilidis K., Sanchez M.-J., Amiano P., Ardanaz E., Chirlaque Lopez M.D., Merino S., Rothwell J.A., Boutron-Ruault M.-C., Severi G., Sternby H., Sonestedt E., Bueno-de-Mesquita B., Boeing H., Travis R., Sandanger T.M., Trichopoulou A., Karakatsani A., Peppa E., Tjonneland A., Yang Y., Hodge A.M., Mitchell H., Haydon A., Room R., Hopper J.L., Weiderpass E., Gunter M.J., Riboli E., Giles G.G., Milne R.L., Agudo A., English D.R., Ferrari P., Jayasekara H., MacInnis R.J., Lujan-Barroso L., Mayen-Chacon A.-L., Cross A.J., Wallner B., Palli D., Ricceri F., Pala V., Panico S., Tumino R., Kuhn T., Kaaks R., Tsilidis K., Sanchez M.-J., Amiano P., Ardanaz E., Chirlaque Lopez M.D., Merino S., Rothwell J.A., Boutron-Ruault M.-C., Severi G., Sternby H., Sonestedt E., Bueno-de-Mesquita B., Boeing H., Travis R., Sandanger T.M., Trichopoulou A., Karakatsani A., Peppa E., Tjonneland A., Yang Y., Hodge A.M., Mitchell H., Haydon A., Room R., Hopper J.L., Weiderpass E., Gunter M.J., Riboli E., Giles G.G., Milne R.L., Agudo A., English D.R., and Ferrari P.
- Abstract
Alcohol consumption is causally linked to several cancers but the evidence for stomach cancer is inconclusive. In our study, the association between long-term alcohol intake and risk of stomach cancer and its subtypes was evaluated. We performed a pooled analysis of data collected at baseline from 491 714 participants in the European Prospective Investigation into Cancer and Nutrition and the Melbourne Collaborative Cohort Study. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated for incident stomach cancer in relation to lifetime alcohol intake and group-based life course intake trajectories, adjusted for potential confounders including Helicobacter pylori infection. In all, 1225 incident stomach cancers (78% noncardia) were diagnosed over 7 094 637 person-years; 984 in 382 957 study participants with lifetime alcohol intake data (5 455 507 person-years). Although lifetime alcohol intake was not associated with overall stomach cancer risk, we observed a weak positive association with noncardia cancer (HR = 1.03, 95% CI: 1.00-1.06 per 10 g/d increment), with a HR of 1.50 (95% CI: 1.08-2.09) for >=60 g/d compared to 0.1 to 4.9 g/d. A weak inverse association with cardia cancer (HR = 0.93, 95% CI: 0.87-1.00) was also observed. HRs of 1.48 (95% CI: 1.10-1.99) for noncardia and 0.51 (95% CI: 0.26-1.03) for cardia cancer were observed for a life course trajectory characterized by heavy decreasing intake compared to light stable intake (Phomogeneity =.02). These associations did not differ appreciably by smoking or H pylori infection status. Limiting alcohol use during lifetime, particularly avoiding heavy use during early adulthood, might help prevent noncardia stomach cancer. Heterogeneous associations observed for cardia and noncardia cancers may indicate etiologic differences.Copyright © 2021 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.
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- 2021
76. Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: a Mendelian randomization study.
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Hampe J., Zuber V., Cross A.J., Perez-Cornago A., Hunter D.J., van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Markozannes G., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-de-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., Gunter M.J., Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Burrows K., Lopez D.S., Key T.J., Travis R.C., Hampe J., Zuber V., Cross A.J., Perez-Cornago A., Hunter D.J., van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Markozannes G., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-de-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., Gunter M.J., Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Burrows K., Lopez D.S., Key T.J., and Travis R.C.
- Abstract
BACKGROUND: The literature on associations of circulating concentrations of minerals and vitamins with risk of colorectal cancer is limited and inconsistent. Evidence from randomized controlled trials (RCTs) to support the efficacy of dietary modification or nutrient supplementation for colorectal cancer prevention is also limited. OBJECTIVE(S): To complement observational and RCT findings, we investigated associations of genetically predicted concentrations of 11 micronutrients (beta-carotene, calcium, copper, folate, iron, magnesium, phosphorus, selenium, vitamin B-6, vitamin B-12, and zinc) with colorectal cancer risk using Mendelian randomization (MR). METHOD(S): Two-sample MR was conducted using 58,221 individuals with colorectal cancer and 67,694 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry. Inverse variance-weighted MR analyses were performed with sensitivity analyses to assess the impact of potential violations of MR assumptions. RESULT(S): Nominally significant associations were noted for genetically predicted iron concentration and higher risk of colon cancer [ORs per SD (ORSD): 1.08; 95% CI: 1.00, 1.17; P value=0.05] and similarly for proximal colon cancer, and for vitamin B-12 concentration and higher risk of colorectal cancer (ORSD: 1.12; 95% CI: 1.03, 1.21; P value=0.01) and similarly for colon cancer. A nominally significant association was also noted for genetically predicted selenium concentration and lower risk of colon cancer (ORSD: 0.98; 95% CI: 0.96, 1.00; P value=0.05) and similarly for distal colon cancer. These associations were robust to sensitivity analyses. Nominally significant inverse associations were observed for zinc and risk of colorectal and distal colon cancers, but sensitivity analyses could not be performed. None of these findings survived correction for multiple testing. Genetically predicted concentrations of beta-caroten
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- 2021
77. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.
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Thompson I.M., Muir K., Lophatananon A., Wan P., Stern M.C., Vega A., Gomez-Caamano A., Fachal L., Rosenstein B.S., Kerns S.L., Ostrer H., Teixeira M.R., Paulo P., Brandao A., Watya S., Lubwama A., Bensen J.T., Fontham E.T.H., Mohler J., Taylor J.A., Kogevinas M., Llorca J., Castano-Vinyals G., Cannon-Albright L., Teerlink C.C., Huff C.D., Strom S.S., Multigner L., Blanchet P., Brureau L., Kaneva R., Slavov C., Mitev V., Leach R.J., Weaver B., Brenner H., Cuk K., Holleczek B., Saum K.-U., Klein E.A., Hsing A.W., Kittles R.A., Murphy A.B., Logothetis C.J., Kim J., Neuhausen S.L., Steele L., Ding Y.C., Isaacs W.B., Nemesure B., Hennis A.J.M., Carpten J., Pandha H., Michael A., De Ruyck K., De Meerleer G., Ost P., Xu J., Razack A., Lim J., Teo S.-H., Newcomb L.F., Lin D.W., Fowke J.H., Neslund-Dudas C., Rybicki B.A., Gamulin M., Lessel D., Kulis T., Usmani N., Singhal S., Parliament M., Claessens F., Joniau S., Van den Broeck T., Gago-Dominguez M., Castelao J.E., Martinez M.E., Larkin S., Townsend P.A., Aukim-Hastie C., Bush W.S., Aldrich M.C., Crawford D.C., Srivastava S., Cullen J.C., Petrovics G., Casey G., Roobol M.J., Jenster G., van Schaik R.H.N., Hu J.J., Sanderson M., Varma R., McKean-Cowdin R., Torres M., Mancuso N., Berndt S.I., Van Den Eeden S.K., Easton D.F., Chanock S.J., Cook M.B., Wiklund F., Nakagawa H., Witte J.S., Eeles R.A., Kote-Jarai Z., Haiman C.A., Conti D.V., Darst B.F., Moss L.C., Saunders E.J., Sheng X., Chou A., Schumacher F.R., Olama A.A.A., Benlloch S., Dadaev T., Brook M.N., Sahimi A., Hoffmann T.J., Takahashi A., Matsuda K., Momozawa Y., Le Marchand L., Wilkens L.R., Stevens V.L., Gapstur S.M., Carter B.D., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Giles G.G., Southey M.C., MacInnis R.J., Cybulski C., Wokolorczyk D., Lubinski J., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Nordestgaard B.G., Nielsen S.F., Weischer M., Bojesen S.E., Roder M.A., Iversen P., Batra J., Chambers S., Moya L., Horvath L., Clements J.A., Tilley W., Risbridger G.P., Gronberg H., Aly M., Szulkin R., Eklund M., Nordstrom T., Pashayan N., Dunning A.M., Ghoussaini M., Travis R.C., Key T.J., Riboli E., Park J.Y., Sellers T.A., Lin H.-Y., Albanes D., Weinstein S.J., Mucci L.A., Giovannucci E., Lindstrom S., Kraft P., Hunter D.J., Penney K.L., Turman C., Tangen C.M., Goodman P.J., Fujita M., Hamilton R.J., Fleshner N.E., Finelli A., Parent M.-E., Stanford J.L., Ostrander E.A., Geybels M.S., Koutros S., Freeman L.E.B., Stampfer M., Wolk A., Hakansson N., Andriole G.L., Hoover R.N., Machiela M.J., Sorensen K.D., Borre M., Blot W.J., Zheng W., Yeboah E.D., Mensah J.E., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Wu Y., Zhao S.-C., Sun Z., Thibodeau S.N., McDonnell S.K., Schaid D.J., West C.M.L., Burnet N., Barnett G., Maier C., Schnoeller T., Luedeke M., Kibel A.S., Drake B.F., Cussenot O., Cancel-Tassin G., Menegaux F., Truong T., Koudou Y.A., John E.M., Grindedal E.M., Maehle L., Khaw K.-T., Ingles S.A., Thompson I.M., Muir K., Lophatananon A., Wan P., Stern M.C., Vega A., Gomez-Caamano A., Fachal L., Rosenstein B.S., Kerns S.L., Ostrer H., Teixeira M.R., Paulo P., Brandao A., Watya S., Lubwama A., Bensen J.T., Fontham E.T.H., Mohler J., Taylor J.A., Kogevinas M., Llorca J., Castano-Vinyals G., Cannon-Albright L., Teerlink C.C., Huff C.D., Strom S.S., Multigner L., Blanchet P., Brureau L., Kaneva R., Slavov C., Mitev V., Leach R.J., Weaver B., Brenner H., Cuk K., Holleczek B., Saum K.-U., Klein E.A., Hsing A.W., Kittles R.A., Murphy A.B., Logothetis C.J., Kim J., Neuhausen S.L., Steele L., Ding Y.C., Isaacs W.B., Nemesure B., Hennis A.J.M., Carpten J., Pandha H., Michael A., De Ruyck K., De Meerleer G., Ost P., Xu J., Razack A., Lim J., Teo S.-H., Newcomb L.F., Lin D.W., Fowke J.H., Neslund-Dudas C., Rybicki B.A., Gamulin M., Lessel D., Kulis T., Usmani N., Singhal S., Parliament M., Claessens F., Joniau S., Van den Broeck T., Gago-Dominguez M., Castelao J.E., Martinez M.E., Larkin S., Townsend P.A., Aukim-Hastie C., Bush W.S., Aldrich M.C., Crawford D.C., Srivastava S., Cullen J.C., Petrovics G., Casey G., Roobol M.J., Jenster G., van Schaik R.H.N., Hu J.J., Sanderson M., Varma R., McKean-Cowdin R., Torres M., Mancuso N., Berndt S.I., Van Den Eeden S.K., Easton D.F., Chanock S.J., Cook M.B., Wiklund F., Nakagawa H., Witte J.S., Eeles R.A., Kote-Jarai Z., Haiman C.A., Conti D.V., Darst B.F., Moss L.C., Saunders E.J., Sheng X., Chou A., Schumacher F.R., Olama A.A.A., Benlloch S., Dadaev T., Brook M.N., Sahimi A., Hoffmann T.J., Takahashi A., Matsuda K., Momozawa Y., Le Marchand L., Wilkens L.R., Stevens V.L., Gapstur S.M., Carter B.D., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Giles G.G., Southey M.C., MacInnis R.J., Cybulski C., Wokolorczyk D., Lubinski J., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Nordestgaard B.G., Nielsen S.F., Weischer M., Bojesen S.E., Roder M.A., Iversen P., Batra J., Chambers S., Moya L., Horvath L., Clements J.A., Tilley W., Risbridger G.P., Gronberg H., Aly M., Szulkin R., Eklund M., Nordstrom T., Pashayan N., Dunning A.M., Ghoussaini M., Travis R.C., Key T.J., Riboli E., Park J.Y., Sellers T.A., Lin H.-Y., Albanes D., Weinstein S.J., Mucci L.A., Giovannucci E., Lindstrom S., Kraft P., Hunter D.J., Penney K.L., Turman C., Tangen C.M., Goodman P.J., Fujita M., Hamilton R.J., Fleshner N.E., Finelli A., Parent M.-E., Stanford J.L., Ostrander E.A., Geybels M.S., Koutros S., Freeman L.E.B., Stampfer M., Wolk A., Hakansson N., Andriole G.L., Hoover R.N., Machiela M.J., Sorensen K.D., Borre M., Blot W.J., Zheng W., Yeboah E.D., Mensah J.E., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Wu Y., Zhao S.-C., Sun Z., Thibodeau S.N., McDonnell S.K., Schaid D.J., West C.M.L., Burnet N., Barnett G., Maier C., Schnoeller T., Luedeke M., Kibel A.S., Drake B.F., Cussenot O., Cancel-Tassin G., Menegaux F., Truong T., Koudou Y.A., John E.M., Grindedal E.M., Maehle L., Khaw K.-T., and Ingles S.A.
- Abstract
Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.Copyright © 2021, The Author(s), under exclusive licence to Springer Nature America, Inc.
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- 2021
78. Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: A Mendelian randomization study.
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Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Markozannes G., Zuber V., Cross A.J., Burrows K., Lopez D.S., Key T.J., Travis R.C., Perez-Cornago A., Hunter D.J., Van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., De La Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Hampe J., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-De-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., Gunter M.J., Tsilidis K.K., Papadimitriou N., Dimou N., Gill D., Lewis S.J., Martin R.M., Murphy N., Markozannes G., Zuber V., Cross A.J., Burrows K., Lopez D.S., Key T.J., Travis R.C., Perez-Cornago A., Hunter D.J., Van Duijnhoven F.J.B., Albanes D., Arndt V., Berndt S.I., Bezieau S., Bishop D.T., Boehm J., Brenner H., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chan A.T., Chang-Claude J., De La Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Goodman P.J., Gsur A., Hampe J., Hampel H., Hoffmeister M., Jenkins M.A., Keku T.O., Kweon S.-S., Larsson S.C., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Nan H., Nassir R., Newcomb P.A., Offit K., Pharoah P.D.P., Platz E.A., Potter J.D., Qi L., Rennert G., Sakoda L.C., Schafmayer C., Slattery M.L., Snetselaar L., Schenk J., Thibodeau S.N., Ulrich C.M., Van Guelpen B., Harlid S., Visvanathan K., Vodickova L., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Bueno-De-Mesquita B., Boutron-Ruault M.-C., Hughes D.J., Jakszyn P., Kuhn T., Palli D., Riboli E., Giovannucci E.L., Banbury B.L., Gruber S.B., Peters U., and Gunter M.J.
- Abstract
Background: The literature on associations of circulating concentrations of minerals and vitamins with risk of colorectal cancer is limited and inconsistent. Evidence from randomized controlled trials (RCTs) to support the efficacy of dietary modification or nutrient supplementation for colorectal cancer prevention is also limited. Objective(s): To complement observational and RCT findings, we investigated associations of genetically predicted concentrations of 11 micronutrients (beta-carotene, calcium, copper, folate, iron, magnesium, phosphorus, selenium, vitamin B-6, vitamin B-12, and zinc) with colorectal cancer risk using Mendelian randomization (MR). Method(s): Two-sample MR was conducted using 58,221 individuals with colorectal cancer and 67,694 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry. Inverse variance-weighted MR analyses were performed with sensitivity analyses to assess the impact of potential violations of MR assumptions. Result(s): Nominally significant associations were noted for genetically predicted iron concentration and higher risk of colon cancer [ORs per SD (ORSD): 1.08 95% CI: 1.00, 1.17 P value = 0.05] and similarly for proximal colon cancer, and for vitamin B-12 concentration and higher risk of colorectal cancer (ORSD: 1.12 95% CI: 1.03, 1.21 P value = 0.01) and similarly for colon cancer. A nominally significant association was also noted for genetically predicted selenium concentration and lower risk of colon cancer (ORSD: 0.98 95% CI: 0.96, 1.00 P value = 0.05) and similarly for distal colon cancer. These associations were robust to sensitivity analyses. Nominally significant inverse associations were observed for zinc and risk of colorectal and distal colon cancers, but sensitivity analyses could not be performed. None of these findings survived correction for multiple testing. Genetically predicted concentrations of beta-caroten
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- 2021
79. The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium.
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Guida F., Tan V.Y., Corbin L.J., Smith-Byrne K., Alcala K., Langenberg C., Stewart I.D., Butterworth A.S., Surendran P., Achaintre D., Adamski J., Exezarreta P.A., Bergmann M.M., Bull C.J., Dahm C.C., Gicquiau A., Giles G.G., Gunter M.J., Haller T., Langhammer A., Larose T.L., Ljungberg B., Metspalu A., Milne R.L., Muller D.C., Nost T.H., Sorgjerd E.P., Prehn C., Riboli E., Rinaldi S., Rothwell J.A., Scalbert A., Schmidt J.A., Severi G., Sieri S., Vermeulen R., Vincent E.E., Waldenberger M., Timpson N.J., Johansson M., Guida F., Tan V.Y., Corbin L.J., Smith-Byrne K., Alcala K., Langenberg C., Stewart I.D., Butterworth A.S., Surendran P., Achaintre D., Adamski J., Exezarreta P.A., Bergmann M.M., Bull C.J., Dahm C.C., Gicquiau A., Giles G.G., Gunter M.J., Haller T., Langhammer A., Larose T.L., Ljungberg B., Metspalu A., Milne R.L., Muller D.C., Nost T.H., Sorgjerd E.P., Prehn C., Riboli E., Rinaldi S., Rothwell J.A., Scalbert A., Schmidt J.A., Severi G., Sieri S., Vermeulen R., Vincent E.E., Waldenberger M., Timpson N.J., and Johansson M.
- Abstract
Background Excess bodyweight and related metabolic perturbations have : been implicated in kidney cancer aetiology, but the specific molecular mechanisms underlying these relationships are poorly understood. In this study, we sought to identify circulating metabolites that predispose kidney cancer and to evaluate the extent to which they are influenced by body mass index (BMI). Methods and findings We assessed the association between circulating levels of 1,416 metabolites and incident kidney cancer using pre-diagnostic blood samples from up to 1,305 kidney cancer case-control pairs from 5 prospective cohort studies. Cases were diagnosed on average 8 years after blood collection. We found 25 metabolites robustly associated with kidney cancer risk. In particular, 14 glycerophospholipids (GPLs) were inversely associated with risk, including 8 phosphatidylcholines (PCs) and 2 plasmalogens. The PC with the strongest association was PC ae C34:3 with an odds ratio (OR) for 1 standard deviation (SD) increment of 0.75 (95% confidence interval [CI]: 0.68 to 0.83, p = 2.6 x 10-8). In contrast, 4 amino acids, including glutamate (OR for 1 SD = 1.39, 95% CI: 1.20 to 1.60, p = 1.6 x 10-5), were positively associated with risk. Adjusting for BMI partly attenuated the risk association for some -but not all-metabolites, whereas other known risk factors of kidney cancer, such as smoking and alcohol consumption, had minimal impact on the observed associations. A mendelian randomisation (MR) analysis of the influence of BMI on the blood metabolome highlighted that some metabolites associated with kidney cancer risk are influenced by BMI. Specifically, elevated BMI appeared to decrease levels of several GPLs that were also found inversely associated with kidney cancer risk (e.g., -0.17 SD change [sBMI] in 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2) levels per SD change in BMI, p = 3.4 x 10-5). BMI was also associated with increased levels of glutamate (sBMI: 0.12, p = 1.5 x 10-3
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- 2021
80. Metabolic perturbations prior to hepatocellular carcinoma diagnosis: Findings from a prospective observational cohort study
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IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Stepien, M., Keski-Rahkonen, P., Kiss, A., Robinot, N., Duarte-Salles, T., Murphy, N., Perlemuter, G., Viallon, V., Tjønneland, A., Rostgaard-Hansen, A.L., Dahm, C.C., Overvad, K., Boutron-Ruault, M.-C., Mancini, F.R., Mahamat-Saleh, Y., Aleksandrova, K., Kaaks, R., Kühn, T., Trichopoulou, A., Karakatsani, A., Panico, S., Tumino, R., Palli, D., Tagliabue, G., Naccarati, A., Vermeulen, R.C.H., Bueno-de-Mesquita, H.B., Weiderpass, E., Skeie, G., Ramón Quirós, J., Ardanaz, E., Mokoroa, O., Sala, N., Sánchez, M.-J., Huerta, J.M., Winkvist, A., Harlid, S., Ohlsson, B., Sjöberg, K., Wareham, N., Khaw, K.-T., Ferrari, P., Rothwell, J.A., Gunter, M., Riboli, E., Scalbert, A., Jenab, M., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Stepien, M., Keski-Rahkonen, P., Kiss, A., Robinot, N., Duarte-Salles, T., Murphy, N., Perlemuter, G., Viallon, V., Tjønneland, A., Rostgaard-Hansen, A.L., Dahm, C.C., Overvad, K., Boutron-Ruault, M.-C., Mancini, F.R., Mahamat-Saleh, Y., Aleksandrova, K., Kaaks, R., Kühn, T., Trichopoulou, A., Karakatsani, A., Panico, S., Tumino, R., Palli, D., Tagliabue, G., Naccarati, A., Vermeulen, R.C.H., Bueno-de-Mesquita, H.B., Weiderpass, E., Skeie, G., Ramón Quirós, J., Ardanaz, E., Mokoroa, O., Sala, N., Sánchez, M.-J., Huerta, J.M., Winkvist, A., Harlid, S., Ohlsson, B., Sjöberg, K., Wareham, N., Khaw, K.-T., Ferrari, P., Rothwell, J.A., Gunter, M., Riboli, E., Scalbert, A., and Jenab, M.
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- 2021
81. The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium
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Afd. Theologie, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Guida, F., Tan, V.Y., Corbin, L.J., Smith-Byrne, K., Alcala, K., Langenberg, C., Stewart, I.D., Butterworth, A.S., Surendran, P., Achaintre, D., Adamski, J., Exezarreta, P.A., Bergmann, M.M., Bull, C.J., Dahm, C.C., Gicquiau, A., Giles, G.G., Gunter, M.J., Haller, T., Langhammer, A., Larose, T.L., Ljungberg, B., Metspalu, A., Milne, R.L., Muller, D.C., Nøst, T.H., Sørgjerd, E.P., Prehn, C., Riboli, E., Rinaldi, S., Rothwell, J.A., Scalbert, A., Schmidt, J.A., Severi, G., Sieri, S., Vermeulen, R., Vincent, E.E., Waldenberger, M., Timpson, N.J., Johansson, M., Afd. Theologie, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Guida, F., Tan, V.Y., Corbin, L.J., Smith-Byrne, K., Alcala, K., Langenberg, C., Stewart, I.D., Butterworth, A.S., Surendran, P., Achaintre, D., Adamski, J., Exezarreta, P.A., Bergmann, M.M., Bull, C.J., Dahm, C.C., Gicquiau, A., Giles, G.G., Gunter, M.J., Haller, T., Langhammer, A., Larose, T.L., Ljungberg, B., Metspalu, A., Milne, R.L., Muller, D.C., Nøst, T.H., Sørgjerd, E.P., Prehn, C., Riboli, E., Rinaldi, S., Rothwell, J.A., Scalbert, A., Schmidt, J.A., Severi, G., Sieri, S., Vermeulen, R., Vincent, E.E., Waldenberger, M., Timpson, N.J., and Johansson, M.
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- 2021
82. Tobacco Smoking and Risk of Second Primary Lung Cancer
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Sub ISEP overig, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Sub Intelligent Systems, Aredo, J.V., Luo, S.J., Gardner, R.M., Sanyal, N., Choi, E., Hickey, T.P., Riley, T.L., Huang, W.-Y., Kurian, A.W., Leung, A.N., Wilkens, L.R., Robbins, H.A., Riboli, E., Kaaks, R., Tjønneland, A., Vermeulen, R.C.H., Panico, S., Le Marchand, L., Amos, C.I., Hung, R.J., Freedman, N.D., Johansson, M., Cheng, I., Wakelee, H.A., Han, S.S., Sub ISEP overig, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Sub Intelligent Systems, Aredo, J.V., Luo, S.J., Gardner, R.M., Sanyal, N., Choi, E., Hickey, T.P., Riley, T.L., Huang, W.-Y., Kurian, A.W., Leung, A.N., Wilkens, L.R., Robbins, H.A., Riboli, E., Kaaks, R., Tjønneland, A., Vermeulen, R.C.H., Panico, S., Le Marchand, L., Amos, C.I., Hung, R.J., Freedman, N.D., Johansson, M., Cheng, I., Wakelee, H.A., and Han, S.S.
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- 2021
83. Associations between dietary amino acid intakes and blood concentration levels
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IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Iguacel, I., Perez-Cornago, A., Van Puyvelde, H., Travis, R., Stepien, M., Scalbert, A., Casagrande, C., Weiderpass, E., Riboli, E., Schulze, M.B., Skeie, G., Bodén, S., Boeing, H., Cross, A.J., Harlid, S., Jensen, T.E., Huerta, J.M., Katzke, V., Kühn, T., Lujan-Barroso, L., Masala, G., Rodriguez-Barranco, M., Rostgaard-Hansen, A.L., van der Schouw, Y.T., Vermeulen, R., Tagliabue, G., Tjønneland, A., Trevisan, M., Ferrari, P., Gunter, M.J., Huybrechts, I., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Iguacel, I., Perez-Cornago, A., Van Puyvelde, H., Travis, R., Stepien, M., Scalbert, A., Casagrande, C., Weiderpass, E., Riboli, E., Schulze, M.B., Skeie, G., Bodén, S., Boeing, H., Cross, A.J., Harlid, S., Jensen, T.E., Huerta, J.M., Katzke, V., Kühn, T., Lujan-Barroso, L., Masala, G., Rodriguez-Barranco, M., Rostgaard-Hansen, A.L., van der Schouw, Y.T., Vermeulen, R., Tagliabue, G., Tjønneland, A., Trevisan, M., Ferrari, P., Gunter, M.J., and Huybrechts, I.
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- 2021
84. Smoking Modifies Pancreatic Cancer Risk Loci on 2q21.3
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Mocci, E, Kundu, P, Wheeler, W, Arslan, AA, Beane-Freeman, LE, Bracci, PM, Brennan, P, Canzian, F, Du, M, Gallinger, S, Giles, GG, Goodman, PJ, Kooperberg, C, Le Marchand, L, Neale, RE, Shu, X-O, Visvanathan, K, White, E, Zheng, W, Albanes, D, Andreotti, G, Babic, A, Bamlet, WR, Berndt, S, Blackford, AL, Bueno-de-Mesquita, B, Buring, JE, Campa, D, Chanock, SJ, Childs, EJ, Duell, EJ, Fuchs, CS, Gaziano, JM, Giovannucci, EL, Goggins, MG, Hartge, P, Hassan, MM, Holly, EA, Hoover, RN, Hung, RJ, Kurtz, RC, Lee, I-M, Malats, N, Milne, RL, Ng, K, Oberg, AL, Panico, S, Peters, U, Porta, M, Rabe, KG, Riboli, E, Rothman, N, Scelo, G, Sesso, HD, Silverman, DT, Stevens, VL, Strobel, O, Thompson, IM, Tjonneland, A, Trichopoulou, A, Van den Eeden, SK, Wactawski-Wende, J, Wentzensen, N, Wilkens, LR, Yu, H, Yuan, F, Zeleniuch-Jacquotte, A, Amundadottir, LT, Li, D, Jacobs, EJ, Petersen, GM, Wolpin, BM, Risch, HA, Kraft, P, Chatterjee, N, Klein, AP, Stolzenberg-Solomon, R, Mocci, E, Kundu, P, Wheeler, W, Arslan, AA, Beane-Freeman, LE, Bracci, PM, Brennan, P, Canzian, F, Du, M, Gallinger, S, Giles, GG, Goodman, PJ, Kooperberg, C, Le Marchand, L, Neale, RE, Shu, X-O, Visvanathan, K, White, E, Zheng, W, Albanes, D, Andreotti, G, Babic, A, Bamlet, WR, Berndt, S, Blackford, AL, Bueno-de-Mesquita, B, Buring, JE, Campa, D, Chanock, SJ, Childs, EJ, Duell, EJ, Fuchs, CS, Gaziano, JM, Giovannucci, EL, Goggins, MG, Hartge, P, Hassan, MM, Holly, EA, Hoover, RN, Hung, RJ, Kurtz, RC, Lee, I-M, Malats, N, Milne, RL, Ng, K, Oberg, AL, Panico, S, Peters, U, Porta, M, Rabe, KG, Riboli, E, Rothman, N, Scelo, G, Sesso, HD, Silverman, DT, Stevens, VL, Strobel, O, Thompson, IM, Tjonneland, A, Trichopoulou, A, Van den Eeden, SK, Wactawski-Wende, J, Wentzensen, N, Wilkens, LR, Yu, H, Yuan, F, Zeleniuch-Jacquotte, A, Amundadottir, LT, Li, D, Jacobs, EJ, Petersen, GM, Wolpin, BM, Risch, HA, Kraft, P, Chatterjee, N, Klein, AP, and Stolzenberg-Solomon, R
- Abstract
Germline variation and smoking are independently associated with pancreatic ductal adenocarcinoma (PDAC). We conducted genome-wide smoking interaction analysis of PDAC using genotype data from four previous genome-wide association studies in individuals of European ancestry (7,937 cases and 11,774 controls). Examination of expression quantitative trait loci data from the Genotype-Tissue Expression Project followed by colocalization analysis was conducted to determine whether there was support for common SNP(s) underlying the observed associations. Statistical tests were two sided and P < 5 × 10-8 was considered statistically significant. Genome-wide significant evidence of qualitative interaction was identified on chr2q21.3 in intron 5 of the transmembrane protein 163 (TMEM163) and upstream of the cyclin T2 (CCNT2). The most significant SNP using the Empirical Bayes method, in this region that included 45 significantly associated SNPs, was rs1818613 [per allele OR in never smokers 0.87, 95% confidence interval (CI), 0.82-0.93; former smokers 1.00, 95% CI, 0.91-1.07; current smokers 1.25, 95% CI 1.12-1.40, P interaction = 3.08 × 10-9). Examination of the Genotype-Tissue Expression Project data demonstrated an expression quantitative trait locus in this region for TMEM163 and CCNT2 in several tissue types. Colocalization analysis supported a shared SNP, rs842357, in high linkage disequilibrium with rs1818613 (r 2 = 0. 94) driving both the observed interaction and the expression quantitative trait loci signals. Future studies are needed to confirm and understand the differential biologic mechanisms by smoking status that contribute to our PDAC findings. SIGNIFICANCE: This large genome-wide interaction study identifies a susceptibility locus on 2q21.3 that significantly modified PDAC risk by smoking status, providing insight into smoking-associated PDAC, with implications for prevention.
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- 2021
85. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction
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Conti, D, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Al Olama, AA, Benlloch, S, Dadaev, T, Brook, MN, Sahimi, A, Hoffmann, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Muir, K, Lophatananon, A, Wan, P, Le Marchand, L, Wilkens, LR, Stevens, VL, Gapstur, SM, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokolorczyk, D, Lubinski, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Roder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordstrom, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, SJ, Mucci, LA, Giovannucci, E, Lindstrom, S, Kraft, P, Hunter, DJ, Penney, KL, Turman, C, Tangen, CM, Goodman, PJ, Thompson, IM, Hamilton, RJ, Fleshner, NE, Finelli, A, Parent, M-E, Stanford, JL, Ostrander, EA, Geybels, MS, Koutros, S, Freeman, LEB, Stampfer, M, Wolk, A, Hakansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sorensen, KD, Borre, M, Blot, WJ, Zheng, W, Yeboah, ED, Mensah, JE, Lu, Y-J, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Burnet, N, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gomez-Caamano, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandao, A, Watya, S, Lubwama, A, Bensen, JT, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castano-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Holleczek, B, Saum, K-U, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, C, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, JC, Petrovics, G, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Berndt, S, Van den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, Haiman, CA, Conti, D, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Al Olama, AA, Benlloch, S, Dadaev, T, Brook, MN, Sahimi, A, Hoffmann, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Muir, K, Lophatananon, A, Wan, P, Le Marchand, L, Wilkens, LR, Stevens, VL, Gapstur, SM, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokolorczyk, D, Lubinski, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Roder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordstrom, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, SJ, Mucci, LA, Giovannucci, E, Lindstrom, S, Kraft, P, Hunter, DJ, Penney, KL, Turman, C, Tangen, CM, Goodman, PJ, Thompson, IM, Hamilton, RJ, Fleshner, NE, Finelli, A, Parent, M-E, Stanford, JL, Ostrander, EA, Geybels, MS, Koutros, S, Freeman, LEB, Stampfer, M, Wolk, A, Hakansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sorensen, KD, Borre, M, Blot, WJ, Zheng, W, Yeboah, ED, Mensah, JE, Lu, Y-J, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Burnet, N, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gomez-Caamano, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandao, A, Watya, S, Lubwama, A, Bensen, JT, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castano-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Holleczek, B, Saum, K-U, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, C, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, JC, Petrovics, G, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Berndt, S, Van den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, and Haiman, CA
- Abstract
Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.
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- 2021
86. Lifetime alcohol intake, drinking patterns over time and risk of stomach cancer: A pooled analysis of data from two prospective cohort studies
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Jayasekara, H, MacInnis, RJ, Lujan-Barroso, L, Mayen-Chacon, A-L, Cross, AJ, Wallner, B, Palli, D, Ricceri, F, Pala, V, Panico, S, Tumino, R, Kuehn, T, Kaaks, R, Tsilidis, K, Sanchez, M-J, Amiano, P, Ardanaz, E, Chirlaque Lopez, MD, Merino, S, Rothwell, JA, Boutron-Ruault, M-C, Severi, G, Sternby, H, Sonestedt, E, Bueno-de-Mesquita, B, Boeing, H, Travis, R, Sandanger, TM, Trichopoulou, A, Karakatsani, A, Peppa, E, Tjonneland, A, Yang, Y, Hodge, AM, Mitchell, H, Haydon, A, Room, R, Hopper, JL, Weiderpass, E, Gunter, MJ, Riboli, E, Giles, GG, Milne, RL, Agudo, A, English, DR, Ferrari, P, Jayasekara, H, MacInnis, RJ, Lujan-Barroso, L, Mayen-Chacon, A-L, Cross, AJ, Wallner, B, Palli, D, Ricceri, F, Pala, V, Panico, S, Tumino, R, Kuehn, T, Kaaks, R, Tsilidis, K, Sanchez, M-J, Amiano, P, Ardanaz, E, Chirlaque Lopez, MD, Merino, S, Rothwell, JA, Boutron-Ruault, M-C, Severi, G, Sternby, H, Sonestedt, E, Bueno-de-Mesquita, B, Boeing, H, Travis, R, Sandanger, TM, Trichopoulou, A, Karakatsani, A, Peppa, E, Tjonneland, A, Yang, Y, Hodge, AM, Mitchell, H, Haydon, A, Room, R, Hopper, JL, Weiderpass, E, Gunter, MJ, Riboli, E, Giles, GG, Milne, RL, Agudo, A, English, DR, and Ferrari, P
- Abstract
Alcohol consumption is causally linked to several cancers but the evidence for stomach cancer is inconclusive. In our study, the association between long-term alcohol intake and risk of stomach cancer and its subtypes was evaluated. We performed a pooled analysis of data collected at baseline from 491 714 participants in the European Prospective Investigation into Cancer and Nutrition and the Melbourne Collaborative Cohort Study. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated for incident stomach cancer in relation to lifetime alcohol intake and group-based life course intake trajectories, adjusted for potential confounders including Helicobacter pylori infection. In all, 1225 incident stomach cancers (78% noncardia) were diagnosed over 7 094 637 person-years; 984 in 382 957 study participants with lifetime alcohol intake data (5 455 507 person-years). Although lifetime alcohol intake was not associated with overall stomach cancer risk, we observed a weak positive association with noncardia cancer (HR = 1.03, 95% CI: 1.00-1.06 per 10 g/d increment), with a HR of 1.50 (95% CI: 1.08-2.09) for ≥60 g/d compared to 0.1 to 4.9 g/d. A weak inverse association with cardia cancer (HR = 0.93, 95% CI: 0.87-1.00) was also observed. HRs of 1.48 (95% CI: 1.10-1.99) for noncardia and 0.51 (95% CI: 0.26-1.03) for cardia cancer were observed for a life course trajectory characterized by heavy decreasing intake compared to light stable intake (Phomogeneity = .02). These associations did not differ appreciably by smoking or H pylori infection status. Limiting alcohol use during lifetime, particularly avoiding heavy use during early adulthood, might help prevent noncardia stomach cancer. Heterogeneous associations observed for cardia and noncardia cancers may indicate etiologic differences.
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- 2021
87. Adiposity and Endometrial Cancer Risk in Postmenopausal Women: A Sequential Causal Mediation Analysis
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Dashti, SG, English, DR, Simpson, JA, Karahalios, A, Moreno-Betancur, M, Biessy, C, Rinaldi, S, Ferrari, P, Tjonneland, A, Halkjaer, J, Dahm, CC, Vistisen, HT, Menegaux, F, Perduca, V, Severi, G, Aleksandrova, K, Schulze, MB, Masala, G, Sieri, S, Tumino, R, Macciotta, A, Panico, S, Hiensch, AE, May, AM, Quiros, JR, Agudo, A, Sanchez, M-J, Amiano, P, Colorado-Yohar, S, Ardanaz, E, Allen, NE, Weiderpass, E, Fortner, RT, Christakoudi, S, Tsilidis, KK, Riboli, E, Kaaks, R, Gunter, MJ, Viallon, V, Dossus, L, Dashti, SG, English, DR, Simpson, JA, Karahalios, A, Moreno-Betancur, M, Biessy, C, Rinaldi, S, Ferrari, P, Tjonneland, A, Halkjaer, J, Dahm, CC, Vistisen, HT, Menegaux, F, Perduca, V, Severi, G, Aleksandrova, K, Schulze, MB, Masala, G, Sieri, S, Tumino, R, Macciotta, A, Panico, S, Hiensch, AE, May, AM, Quiros, JR, Agudo, A, Sanchez, M-J, Amiano, P, Colorado-Yohar, S, Ardanaz, E, Allen, NE, Weiderpass, E, Fortner, RT, Christakoudi, S, Tsilidis, KK, Riboli, E, Kaaks, R, Gunter, MJ, Viallon, V, and Dossus, L
- Abstract
BACKGROUND: Adiposity increases endometrial cancer risk, possibly through inflammation, hyperinsulinemia, and increasing estrogens. We aimed to quantify the mediating effects of adiponectin (anti-inflammatory adipocytokine); IL6, IL1-receptor antagonist, TNF receptor 1 and 2, and C-reactive protein (inflammatory status biomarkers); C-peptide (hyperinsulinemia biomarker); and free estradiol and estrone (estrogen biomarkers) in the adiposity-endometrial cancer link in postmenopausal women. METHODS: We used data from a case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC). Eligible women did not have cancer, hysterectomy, and diabetes; did not use oral contraceptives or hormone therapy; and were postmenopausal at recruitment. Mediating pathways from adiposity to endometrial cancer were investigated by estimating natural indirect (NIE) and direct (NDE) effects using sequential mediation analysis. RESULTS: The study included 163 cases and 306 controls. The adjusted OR for endometrial cancer for body mass index (BMI) ≥30 versus ≥18.5-<25 kg/m2 was 2.51 (95% confidence interval, 1.26-5.02). The ORsNIE were 1.95 (1.01-3.74) through all biomarkers [72% proportion mediated (PM)] decomposed as: 1.35 (1.06-1.73) through pathways originating with adiponectin (33% PM); 1.13 (0.71-1.80) through inflammation beyond (the potential influence of) adiponectin (13% PM); 1.05 (0.88-1.24) through C-peptide beyond adiponectin and inflammation (5% PM); and 1.22 (0.89-1.67) through estrogens beyond preceding biomarkers (21% PM). The ORNDE not through biomarkers was 1.29 (0.54-3.09). Waist circumference gave similar results. CONCLUSIONS: Reduced adiponectin and increased inflammatory biomarkers, C-peptide, and estrogens mediated approximately 70% of increased odds of endometrial cancer in women with obesity versus normal weight. IMPACT: If replicated, these results could have implications for identifying targets for intervention to reduce endometria
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- 2021
88. The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium
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Taal, MW, Guida, F, Tan, VY, Corbin, LJ, Smith-Byrne, K, Alcala, K, Langenberg, C, Stewart, ID, Butterworth, AS, Surendran, P, Achaintre, D, Adamski, J, Amiano Exezarreta, P, Bergmann, MM, Bull, CJ, Dahm, CC, Gicquiau, A, Giles, GG, Gunter, MJ, Haller, T, Langhammer, A, Larose, TL, Ljungberg, B, Metspalu, A, Milne, RL, Muller, DC, Nost, TH, Pettersen Sorgjerd, E, Prehn, C, Riboli, E, Rinaldi, S, Rothwell, JA, Scalbert, A, Schmidt, JA, Severi, G, Sieri, S, Vermeulen, R, Vincent, EE, Waldenberger, M, Timpson, NJ, Johansson, M, Taal, MW, Guida, F, Tan, VY, Corbin, LJ, Smith-Byrne, K, Alcala, K, Langenberg, C, Stewart, ID, Butterworth, AS, Surendran, P, Achaintre, D, Adamski, J, Amiano Exezarreta, P, Bergmann, MM, Bull, CJ, Dahm, CC, Gicquiau, A, Giles, GG, Gunter, MJ, Haller, T, Langhammer, A, Larose, TL, Ljungberg, B, Metspalu, A, Milne, RL, Muller, DC, Nost, TH, Pettersen Sorgjerd, E, Prehn, C, Riboli, E, Rinaldi, S, Rothwell, JA, Scalbert, A, Schmidt, JA, Severi, G, Sieri, S, Vermeulen, R, Vincent, EE, Waldenberger, M, Timpson, NJ, and Johansson, M
- Abstract
BACKGROUND: Excess bodyweight and related metabolic perturbations have been implicated in kidney cancer aetiology, but the specific molecular mechanisms underlying these relationships are poorly understood. In this study, we sought to identify circulating metabolites that predispose kidney cancer and to evaluate the extent to which they are influenced by body mass index (BMI). METHODS AND FINDINGS: We assessed the association between circulating levels of 1,416 metabolites and incident kidney cancer using pre-diagnostic blood samples from up to 1,305 kidney cancer case-control pairs from 5 prospective cohort studies. Cases were diagnosed on average 8 years after blood collection. We found 25 metabolites robustly associated with kidney cancer risk. In particular, 14 glycerophospholipids (GPLs) were inversely associated with risk, including 8 phosphatidylcholines (PCs) and 2 plasmalogens. The PC with the strongest association was PC ae C34:3 with an odds ratio (OR) for 1 standard deviation (SD) increment of 0.75 (95% confidence interval [CI]: 0.68 to 0.83, p = 2.6 × 10-8). In contrast, 4 amino acids, including glutamate (OR for 1 SD = 1.39, 95% CI: 1.20 to 1.60, p = 1.6 × 10-5), were positively associated with risk. Adjusting for BMI partly attenuated the risk association for some-but not all-metabolites, whereas other known risk factors of kidney cancer, such as smoking and alcohol consumption, had minimal impact on the observed associations. A mendelian randomisation (MR) analysis of the influence of BMI on the blood metabolome highlighted that some metabolites associated with kidney cancer risk are influenced by BMI. Specifically, elevated BMI appeared to decrease levels of several GPLs that were also found inversely associated with kidney cancer risk (e.g., -0.17 SD change [ßBMI] in 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2) levels per SD change in BMI, p = 3.4 × 10-5). BMI was also associated with increased levels of glutamate (ßBMI: 0.12, p = 1.5 × 10-3)
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- 2021
89. Vegetable intake and the risk of bladder cancer in the BLadder Cancer Epidemiology and Nutritional Determinants (BLEND) international study
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Yu, EY-W, Wesselius, A, Mehrkanoon, S, Goosens, M, Brinkman, M, van den Brandt, P, Grant, EJ, White, E, Weiderpass, E, Le Calvez-Kelm, F, Gunter, MJ, Huybrechts, I, Riboli, E, Tjonneland, A, Masala, G, Giles, GG, Milne, RL, Zeegers, MP, Yu, EY-W, Wesselius, A, Mehrkanoon, S, Goosens, M, Brinkman, M, van den Brandt, P, Grant, EJ, White, E, Weiderpass, E, Le Calvez-Kelm, F, Gunter, MJ, Huybrechts, I, Riboli, E, Tjonneland, A, Masala, G, Giles, GG, Milne, RL, and Zeegers, MP
- Abstract
BACKGROUND: Although a potential inverse association between vegetable intake and bladder cancer risk has been reported, epidemiological evidence is inconsistent. This research aimed to elucidate the association between vegetable intake and bladder cancer risk by conducting a pooled analysis of data from prospective cohort studies. METHODS: Vegetable intake in relation to bladder cancer risk was examined by pooling individual-level data from 13 cohort studies, comprising 3203 cases among a total of 555,685 participants. Pooled multivariate hazard ratios (HRs), with corresponding 95% confidence intervals (CIs), were estimated using Cox proportional hazards regression models stratified by cohort for intakes of total vegetable, vegetable subtypes (i.e. non-starchy, starchy, green leafy and cruciferous vegetables) and individual vegetable types. In addition, a diet diversity score was used to assess the association of the varied types of vegetable intake on bladder cancer risk. RESULTS: The association between vegetable intake and bladder cancer risk differed by sex (P-interaction = 0.011) and smoking status (P-interaction = 0.038); therefore, analyses were stratified by sex and smoking status. With adjustment of age, sex, smoking, energy intake, ethnicity and other potential dietary factors, we found that higher intake of total and non-starchy vegetables were inversely associated with the risk of bladder cancer among women (comparing the highest with lowest intake tertile: HR = 0.79, 95% CI = 0.64-0.98, P = 0.037 for trend, HR per 1 SD increment = 0.89, 95% CI = 0.81-0.99; HR = 0.78, 95% CI = 0.63-0.97, P = 0.034 for trend, HR per 1 SD increment = 0.88, 95% CI = 0.79-0.98, respectively). However, no evidence of association was observed among men, and the intake of vegetable was not found to be associated with bladder cancer when stratified by smoking status. Moreover, we found no evidence of association for diet diversity with bladder cancer risk. CONCLUSION: Higher in
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- 2021
90. Development and validation of a lifestyle-based model for colorectal cancer risk prediction: the LiFeCRC score
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Aleksandrova, K, Reichmann, R, Kaaks, R, Jenab, M, Bueno-de-Mesquita, HB, Dahm, CC, Eriksen, AK, Tjonneland, A, Artaud, F, Boutron-Ruault, M-C, Severi, G, Husing, A, Trichopoulou, A, Karakatsani, A, Peppa, E, Panico, S, Masala, G, Grioni, S, Sacerdote, C, Tumino, R, Elias, SG, May, AM, Borch, KB, Sandanger, TM, Skeie, G, Sanchez, M-J, Huerta, JM, Sala, N, Gurrea, AB, Quiros, JR, Amiano, P, Berntsson, J, Drake, I, van Guelpen, B, Harlid, S, Key, T, Weiderpass, E, Aglago, EK, Cross, AJ, Tsilidis, KK, Riboli, E, Gunter, MJ, Aleksandrova, K, Reichmann, R, Kaaks, R, Jenab, M, Bueno-de-Mesquita, HB, Dahm, CC, Eriksen, AK, Tjonneland, A, Artaud, F, Boutron-Ruault, M-C, Severi, G, Husing, A, Trichopoulou, A, Karakatsani, A, Peppa, E, Panico, S, Masala, G, Grioni, S, Sacerdote, C, Tumino, R, Elias, SG, May, AM, Borch, KB, Sandanger, TM, Skeie, G, Sanchez, M-J, Huerta, JM, Sala, N, Gurrea, AB, Quiros, JR, Amiano, P, Berntsson, J, Drake, I, van Guelpen, B, Harlid, S, Key, T, Weiderpass, E, Aglago, EK, Cross, AJ, Tsilidis, KK, Riboli, E, and Gunter, MJ
- Abstract
BACKGROUND: Nutrition and lifestyle have been long established as risk factors for colorectal cancer (CRC). Modifiable lifestyle behaviours bear potential to minimize long-term CRC risk; however, translation of lifestyle information into individualized CRC risk assessment has not been implemented. Lifestyle-based risk models may aid the identification of high-risk individuals, guide referral to screening and motivate behaviour change. We therefore developed and validated a lifestyle-based CRC risk prediction algorithm in an asymptomatic European population. METHODS: The model was based on data from 255,482 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study aged 19 to 70 years who were free of cancer at study baseline (1992-2000) and were followed up to 31 September 2010. The model was validated in a sample comprising 74,403 participants selected among five EPIC centres. Over a median follow-up time of 15 years, there were 3645 and 981 colorectal cancer cases in the derivation and validation samples, respectively. Variable selection algorithms in Cox proportional hazard regression and random survival forest (RSF) were used to identify the best predictors among plausible predictor variables. Measures of discrimination and calibration were calculated in derivation and validation samples. To facilitate model communication, a nomogram and a web-based application were developed. RESULTS: The final selection model included age, waist circumference, height, smoking, alcohol consumption, physical activity, vegetables, dairy products, processed meat, and sugar and confectionary. The risk score demonstrated good discrimination overall and in sex-specific models. Harrell's C-index was 0.710 in the derivation cohort and 0.714 in the validation cohort. The model was well calibrated and showed strong agreement between predicted and observed risk. Random survival forest analysis suggested high model robustness. Beyond age, lifestyle data l
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- 2021
91. Co-benefits from sustainable dietary shifts for population and environmental health: an assessment from a large European cohort study
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Laine, JE, Huybrechts, I, Gunter, MJ, Ferrari, P, Weiderpass, E, Tsilidis, K, Aune, D, Schulze, MB, Bergmann, M, Temme, EHM, Boer, JMA, Agnoli, C, Ericson, U, Stubbendorff, A, Ibsen, DB, Dahm, CC, Deschasaux, M, Touvier, M, Kesse-Guyot, E, Perez, M-JS, Barranco, MR, Tong, TYN, Papier, K, Knuppel, A, Boutron-Ruault, M-C, Mancini, F, Severi, G, Srour, B, Kuhn, T, Masala, G, Agudo, A, Skeie, G, Rylander, C, Sandanger, TM, Riboli, E, Vineis, P, Laine, JE, Huybrechts, I, Gunter, MJ, Ferrari, P, Weiderpass, E, Tsilidis, K, Aune, D, Schulze, MB, Bergmann, M, Temme, EHM, Boer, JMA, Agnoli, C, Ericson, U, Stubbendorff, A, Ibsen, DB, Dahm, CC, Deschasaux, M, Touvier, M, Kesse-Guyot, E, Perez, M-JS, Barranco, MR, Tong, TYN, Papier, K, Knuppel, A, Boutron-Ruault, M-C, Mancini, F, Severi, G, Srour, B, Kuhn, T, Masala, G, Agudo, A, Skeie, G, Rylander, C, Sandanger, TM, Riboli, E, and Vineis, P
- Abstract
BACKGROUND: Unhealthy diets, the rise of non-communicable diseases, and the declining health of the planet are highly intertwined, where food production and consumption are major drivers of increases in greenhouse gas emissions, substantial land use, and adverse health such as cancer and mortality. To assess the potential co-benefits from shifting to more sustainable diets, we aimed to investigate the associations of dietary greenhouse gas emissions and land use with all-cause and cause-specific mortality and cancer incidence rates. METHODS: Using data from 443 991 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study, a multicentre prospective cohort, we estimated associations between dietary contributions to greenhouse gas emissions and land use and all-cause and cause-specific mortality and incident cancers using Cox proportional hazards regression models. The main exposures were modelled as quartiles. Co-benefits, encompassing the potential effects of alternative diets on all-cause mortality and cancer and potential reductions in greenhouse gas emissions and land use, were estimated with counterfactual attributable fraction intervention models, simulating potential effects of dietary shifts based on the EAT-Lancet reference diet. FINDINGS: In the pooled analysis, there was an association between levels of dietary greenhouse gas emissions and all-cause mortality (adjusted hazard ratio [HR] 1·13 [95% CI 1·10-1·16]) and between land use and all-cause mortality (1·18 [1·15-1·21]) when comparing the fourth quartile to the first quartile. Similar associations were observed for cause-specific mortality. Associations were also observed between all-cause cancer incidence rates and greenhouse gas emissions, when comparing the fourth quartile to the first quartile (adjusted HR 1·11 [95% CI 1·09-1·14]) and between all-cause cancer incidence rates and land use (1·13 [1·10-1·15]); however, estimates differed by cancer type. Through coun
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- 2021
92. Genetic architectures of proximal and distal colorectal cancer are partly distinct
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Huyghe, JR, Harrison, TA, Bien, SA, Hampel, H, Figueiredo, JC, Schmit, SL, Conti, D, Chen, S, Qu, C, Lin, Y, Barfield, R, Baron, JA, Cross, AJ, Diergaarde, B, Duggan, D, Harlid, S, Imaz, L, Kang, HM, Levine, DM, Perduca, V, Perez-Cornago, A, Sakoda, LC, Schumacher, FR, Slattery, ML, Toland, AE, van Duijnhoven, FJB, Van Guelpen, B, Agudo, A, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Banbury, BL, Bassik, MC, Berndt, S, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Caan, BJ, Campbell, PT, Carr, PR, Castells, A, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Curtis, KR, de la Chapelle, A, Easton, DF, English, DR, Feskens, EJM, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Jenab, M, Jenkins, MA, Joshi, AD, Keku, TO, Kooperberg, C, Kuhn, T, Kury, S, Le Marchand, L, Lejbkowicz, F, Li, C, Li, L, Lieb, W, Lindblom, A, Lindor, NM, Mannisto, S, Markowitz, SD, Milne, RL, Moreno, L, Murphy, N, Nassir, R, Offit, K, Ogino, S, Panico, S, Parfrey, PS, Pearlman, R, Pharoah, PDP, Phipps, A, Platz, EA, Potter, JD, Prentice, RL, Qi, L, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Schafmayer, C, Schoen, RE, Seminara, D, Song, M, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Ulrich, CM, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Nickerson, DA, Scacheri, PC, Kundaje, A, Casey, G, Gruber, SB, Hsu, L, Moreno, V, Hayes, RB, Newcomb, PA, Peters, U, Huyghe, JR, Harrison, TA, Bien, SA, Hampel, H, Figueiredo, JC, Schmit, SL, Conti, D, Chen, S, Qu, C, Lin, Y, Barfield, R, Baron, JA, Cross, AJ, Diergaarde, B, Duggan, D, Harlid, S, Imaz, L, Kang, HM, Levine, DM, Perduca, V, Perez-Cornago, A, Sakoda, LC, Schumacher, FR, Slattery, ML, Toland, AE, van Duijnhoven, FJB, Van Guelpen, B, Agudo, A, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Banbury, BL, Bassik, MC, Berndt, S, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Caan, BJ, Campbell, PT, Carr, PR, Castells, A, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Curtis, KR, de la Chapelle, A, Easton, DF, English, DR, Feskens, EJM, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Jenab, M, Jenkins, MA, Joshi, AD, Keku, TO, Kooperberg, C, Kuhn, T, Kury, S, Le Marchand, L, Lejbkowicz, F, Li, C, Li, L, Lieb, W, Lindblom, A, Lindor, NM, Mannisto, S, Markowitz, SD, Milne, RL, Moreno, L, Murphy, N, Nassir, R, Offit, K, Ogino, S, Panico, S, Parfrey, PS, Pearlman, R, Pharoah, PDP, Phipps, A, Platz, EA, Potter, JD, Prentice, RL, Qi, L, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Schafmayer, C, Schoen, RE, Seminara, D, Song, M, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Ulrich, CM, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Nickerson, DA, Scacheri, PC, Kundaje, A, Casey, G, Gruber, SB, Hsu, L, Moreno, V, Hayes, RB, Newcomb, PA, and Peters, U
- Abstract
OBJECTIVE: An understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined. DESIGN: To identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling. RESULTS: We identified 13 loci that reached genome-wide significance (p<5×10-8) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer. CONCLUSION: Genetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour.
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- 2021
93. Weight change in middle adulthood and risk of cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort
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Christakoudi, S, Pagoni, P, Ferrari, P, Cross, AJ, Tzoulaki, I, Muller, DC, Weiderpass, E, Freisling, H, Murphy, N, Dossus, L, Turzanski Fortner, R, Agudo, A, Overvad, K, Perez-Cornago, A, Key, TJ, Brennan, P, Johansson, M, Tjonneland, A, Halkjaer, J, Boutron-Ruault, M-C, Artaud, F, Severi, G, Kaaks, R, Schulze, MB, Bergmann, MM, Masala, G, Grioni, S, Simeon, V, Tumino, R, Sacerdote, C, Skeie, G, Rylander, C, Borch, KB, Quiros, JR, Rodriguez-Barranco, M, Chirlaque, M-D, Ardanaz, E, Amiano, P, Drake, I, Stocks, T, Haggstrom, C, Harlid, S, Ellingjord-Dale, M, Riboli, E, Tsilidis, KK, Christakoudi, S, Pagoni, P, Ferrari, P, Cross, AJ, Tzoulaki, I, Muller, DC, Weiderpass, E, Freisling, H, Murphy, N, Dossus, L, Turzanski Fortner, R, Agudo, A, Overvad, K, Perez-Cornago, A, Key, TJ, Brennan, P, Johansson, M, Tjonneland, A, Halkjaer, J, Boutron-Ruault, M-C, Artaud, F, Severi, G, Kaaks, R, Schulze, MB, Bergmann, MM, Masala, G, Grioni, S, Simeon, V, Tumino, R, Sacerdote, C, Skeie, G, Rylander, C, Borch, KB, Quiros, JR, Rodriguez-Barranco, M, Chirlaque, M-D, Ardanaz, E, Amiano, P, Drake, I, Stocks, T, Haggstrom, C, Harlid, S, Ellingjord-Dale, M, Riboli, E, and Tsilidis, KK
- Abstract
Obesity is a risk factor for several major cancers. Associations of weight change in middle adulthood with cancer risk, however, are less clear. We examined the association of change in weight and body mass index (BMI) category during middle adulthood with 42 cancers, using multivariable Cox proportional hazards models in the European Prospective Investigation into Cancer and Nutrition cohort. Of 241 323 participants (31% men), 20% lost and 32% gained weight (>0.4 to 5.0 kg/year) during 6.9 years (average). During 8.0 years of follow-up after the second weight assessment, 20 960 incident cancers were ascertained. Independent of baseline BMI, weight gain (per one kg/year increment) was positively associated with cancer of the corpus uteri (hazard ratio [HR] = 1.14; 95% confidence interval: 1.05-1.23). Compared to stable weight (±0.4 kg/year), weight gain (>0.4 to 5.0 kg/year) was positively associated with cancers of the gallbladder and bile ducts (HR = 1.41; 1.01-1.96), postmenopausal breast (HR = 1.08; 1.00-1.16) and thyroid (HR = 1.40; 1.04-1.90). Compared to maintaining normal weight, maintaining overweight or obese BMI (World Health Organisation categories) was positively associated with most obesity-related cancers. Compared to maintaining the baseline BMI category, weight gain to a higher BMI category was positively associated with cancers of the postmenopausal breast (HR = 1.19; 1.06-1.33), ovary (HR = 1.40; 1.04-1.91), corpus uteri (HR = 1.42; 1.06-1.91), kidney (HR = 1.80; 1.20-2.68) and pancreas in men (HR = 1.81; 1.11-2.95). Losing weight to a lower BMI category, however, was inversely associated with cancers of the corpus uteri (HR = 0.40; 0.23-0.69) and colon (HR = 0.69; 0.52-0.92). Our findings support avoiding weight gain and encouraging weight loss in middle adulthood.
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- 2021
94. Tobacco Smoking and Risk of Second Primary Lung Cancer
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Sub IER overig, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Sub Intelligent Systems, Aredo, J.V., Luo, S.J., Gardner, R.M., Sanyal, N., Choi, E., Hickey, T.P., Riley, T.L., Huang, W.-Y., Kurian, A.W., Leung, A.N., Wilkens, L.R., Robbins, H.A., Riboli, E., Kaaks, R., Tjønneland, A., Vermeulen, R.C.H., Panico, S., Le Marchand, L., Amos, C.I., Hung, R.J., Freedman, N.D., Johansson, M., Cheng, I., Wakelee, H.A., Han, S.S., Sub IER overig, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Sub Intelligent Systems, Aredo, J.V., Luo, S.J., Gardner, R.M., Sanyal, N., Choi, E., Hickey, T.P., Riley, T.L., Huang, W.-Y., Kurian, A.W., Leung, A.N., Wilkens, L.R., Robbins, H.A., Riboli, E., Kaaks, R., Tjønneland, A., Vermeulen, R.C.H., Panico, S., Le Marchand, L., Amos, C.I., Hung, R.J., Freedman, N.D., Johansson, M., Cheng, I., Wakelee, H.A., and Han, S.S.
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- 2021
95. Publisher Correction: Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction
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Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T, Brook, MN, Sahimi, A, Hoffmann, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Muir, K, Lophatananon, A, Wan, P, Le Marchand, L, Wilkens, LR, Stevens, VL, Gapstur, SM, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokołorczyk, D, Lubiński, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordström, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, SJ, Mucci, LA, Giovannucci, E, Lindstrom, S, Kraft, P, Hunter, DJ, Penney, KL, Turman, C, Tangen, CM, Goodman, PJ, Thompson, IM, Hamilton, RJ, Fleshner, NE, Finelli, A, Parent, M-É, Stanford, JL, Ostrander, EA, Geybels, MS, Koutros, S, Freeman, LEB, Stampfer, M, Wolk, A, Håkansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sørensen, KD, Borre, M, Blot, WJ, Zheng, W, Yeboah, ED, Mensah, JE, Lu, Y-J, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Burnet, N, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gómez-Caamaño, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandão, A, Watya, S, Lubwama, A, Bensen, JT, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Holleczek, B, Saum, K-U, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, C, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, JC, Petrovics, G, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Berndt, SI, Van Den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, Haiman, CA, Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T, Brook, MN, Sahimi, A, Hoffmann, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Muir, K, Lophatananon, A, Wan, P, Le Marchand, L, Wilkens, LR, Stevens, VL, Gapstur, SM, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokołorczyk, D, Lubiński, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordström, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, SJ, Mucci, LA, Giovannucci, E, Lindstrom, S, Kraft, P, Hunter, DJ, Penney, KL, Turman, C, Tangen, CM, Goodman, PJ, Thompson, IM, Hamilton, RJ, Fleshner, NE, Finelli, A, Parent, M-É, Stanford, JL, Ostrander, EA, Geybels, MS, Koutros, S, Freeman, LEB, Stampfer, M, Wolk, A, Håkansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sørensen, KD, Borre, M, Blot, WJ, Zheng, W, Yeboah, ED, Mensah, JE, Lu, Y-J, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Burnet, N, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gómez-Caamaño, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandão, A, Watya, S, Lubwama, A, Bensen, JT, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Holleczek, B, Saum, K-U, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, C, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, JC, Petrovics, G, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Berndt, SI, Van Den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, and Haiman, CA
- Abstract
In the version of this article originally published, the names of the equally contributing authors and jointly supervising authors were switched. The correct affiliations are: “These authors contributed equally: David V. Conti, Burcu F. Darst. These authors jointly supervised this work: David V. Conti, Rosalind A. Eeles, Zsofia Kote-Jarai, Christopher A. Haiman.” The error has been corrected in the HTML and PDF versions of the article.
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- 2021
96. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe
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Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, Bakker, SJL, Da Providencia Costa, RB, Beulens, JWJ, Boer, JMA, Boutron-Ruault, MC, Brunner, EJ, Butterworth, AS, Cook, NR, Dahm, CC, Gansevoort, RT, Gillum, RF, Hansson, PO, Ikram, MK, Kronmal, RA, Pablos, DL, Malyutina, So, Ibañez, AM, Mathiesen, EB, Meade, TW, Meyer, HE, Moons, KGM, Nordestgaard, BG, Psaty, BM, Garcia, JRQ, Ridker, PM, C Sans, Schwartz, JE, Selmer, RM, Shipley, MJ, Tong, TYN, van der Schouw, YT, Verschuren, WMM, Wareham, NJ, Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, Bakker, SJL, Da Providencia Costa, RB, Beulens, JWJ, Boer, JMA, Boutron-Ruault, MC, Brunner, EJ, Butterworth, AS, Cook, NR, Dahm, CC, Gansevoort, RT, Gillum, RF, Hansson, PO, Ikram, MK, Kronmal, RA, Pablos, DL, Malyutina, So, Ibañez, AM, Mathiesen, EB, Meade, TW, Meyer, HE, Moons, KGM, Nordestgaard, BG, Psaty, BM, Garcia, JRQ, Ridker, PM, C Sans, Schwartz, JE, Selmer, RM, Shipley, MJ, Tong, TYN, van der Schouw, YT, Verschuren, WMM, and Wareham, NJ
- Abstract
Aims: The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe. Methods and results : We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low-risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries. Conclusion : SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe.
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- 2021
97. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.
- Author
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Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T, Brook, MN, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Sahimi, A, Burnet, N, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Hoffmann, TJ, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gómez-Caamaño, A, Takahashi, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandão, A, Watya, S, Lubwama, A, Bensen, JT, Matsuda, K, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Momozawa, Y, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Fujita, M, Holleczek, B, Saum, K-U, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Muir, K, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Lophatananon, A, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, C, Rybicki, BA, Gamulin, M, Wan, P, Lessel, D, Kulis, T, Usmani, N, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Le Marchand, L, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, JC, Petrovics, G, Wilkens, LR, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Stevens, VL, Berndt, SI, Van Den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, Gapstur, SM, Haiman, CA, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokołorczyk, D, Lubiński, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordström, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, SJ, Mucci, LA, Giovannucci, E, Lindstrom, S, Kraft, P, Hunter, DJ, Penney, KL, Turman, C, Tangen, CM, Goodman, PJ, Thompson, IM, Hamilton, RJ, Fleshner, NE, Finelli, A, Parent, M-É, Stanford, JL, Ostrander, EA, Geybels, MS, Koutros, S, Freeman, LEB, Stampfer, M, Wolk, A, Håkansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sørensen, KD, Borre, M, Blot, WJ, Zheng, W, Yeboah, ED, Mensah, JE, Lu, Y-J, Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T, Brook, MN, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Sahimi, A, Burnet, N, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Hoffmann, TJ, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gómez-Caamaño, A, Takahashi, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandão, A, Watya, S, Lubwama, A, Bensen, JT, Matsuda, K, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Momozawa, Y, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Fujita, M, Holleczek, B, Saum, K-U, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Muir, K, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Lophatananon, A, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, C, Rybicki, BA, Gamulin, M, Wan, P, Lessel, D, Kulis, T, Usmani, N, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Le Marchand, L, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, JC, Petrovics, G, Wilkens, LR, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Stevens, VL, Berndt, SI, Van Den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, Gapstur, SM, Haiman, CA, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokołorczyk, D, Lubiński, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordström, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, SJ, Mucci, LA, Giovannucci, E, Lindstrom, S, Kraft, P, Hunter, DJ, Penney, KL, Turman, C, Tangen, CM, Goodman, PJ, Thompson, IM, Hamilton, RJ, Fleshner, NE, Finelli, A, Parent, M-É, Stanford, JL, Ostrander, EA, Geybels, MS, Koutros, S, Freeman, LEB, Stampfer, M, Wolk, A, Håkansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sørensen, KD, Borre, M, Blot, WJ, Zheng, W, Yeboah, ED, Mensah, JE, and Lu, Y-J
- Abstract
Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.
- Published
- 2021
98. Fruit and vegetable intake and type 2 diabetes: EPIC-InterAct prospective study and meta-analysis
- Author
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Cooper, A J, Forouhi, N G, Ye, Z, Buijsse, B, Arriola, L, Balkau, B, Barricarte, A, Beulens, J W J, Boeing, H, Büchner, F L, Dahm, C C, de Lauzon-Guillain, B, Fagherazzi, G, Franks, P W, Gonzalez, C, Grioni, S, Kaaks, R, Key, T J, Masala, G, Navarro, C, Nilsson, P, Overvad, K, Panico, S, Ramón Quirós, J, Rolandsson, O, Roswall, N, Sacerdote, C, Sánchez, M-J, Slimani, N, Sluijs, I, Spijkerman, A M W, Teucher, B, Tjonneland, A, Tumino, R, Sharp, S J, Langenberg, C, Feskens, E J M, Riboli, E, and Wareham, N J
- Published
- 2012
- Full Text
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99. Dietary fibre intake and ischaemic heart disease mortality: the European Prospective Investigation into Cancer and Nutrition-Heart study
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Crowe, F L, Key, T J, Appleby, P N, Overvad, K, Schmidt, E B, Egeberg, R, Tjønneland, A, Kaaks, R, Teucher, B, Boeing, H, Weikert, C, Trichopoulou, A, Ouranos, V, Valanou, E, Masala, G, Sieri, S, Panico, S, Tumino, R, Matullo, G, Bueno-de-Mesquita, H B, Boer, J M A, Beulens, J W J, van der Schouw, Y T, Quirós, J R, Buckland, G, Sánchez, M-J, Dorronsoro, M, Huerta, J M, Moreno-Iribas, C, Hedblad, B, Jansson, J H, Wennberg, P, Khaw, K-T, Wareham, N, Ferrari, P, Illner, A-K, Chuang, S-C, Norat, T, Danesh, J, and Riboli, E
- Published
- 2012
- Full Text
- View/download PDF
100. Cytokine gene polymorphisms and the risk of adenocarcinoma of the stomach in the European prospective investigation into cancer and nutrition (EPIC-EURGAST)
- Author
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Crusius, J.B.A., Canzian, F., Capellá, G., Peña, A.S., Pera, G., Sala, N., Agudo, A., Rico, F., Del Giudice, G., Palli, D., Plebani, M., Boeing, H., Bueno-de-Mesquita, H.B., Carneiro, F., Pala, V., Save, V.E., Vineis, P., Tumino, R., Panico, S., Berglund, G., Manjer, J., Stenling, R., Hallmans, G., Martínez, C., Dorronsoro, M., Barricarte, A., Navarro, C., Quirós, J.R., Allen, N., Key, T.J., Binghan, S., Caldas, C., Linseisen, J., Kaaks, R., Overvad, K., Tjønneland, A., Büchner, F.C., Peeters, P.H.M., Numans, M.E., Clavel-Chapelon, F., Trichopoulou, A., Lund, E., Jenab, M., Rinaldi, S., Ferrari, P., Riboli, E., and González, C.A.
- Published
- 2008
- Full Text
- View/download PDF
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