445 results on '"Key T.J."'
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2. The role of plasma microseminoprotein-beta in prostate cancer: an observational nested case–control and Mendelian randomization study in the European prospective investigation into cancer and nutrition
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Smith Byrne, K., Appleby, P.N., Key, T.J., Holmes, M.V., Fensom, G.K., Agudo, A., Ardanaz, E., Boeing, H., Bueno-de-Mesquita, H.B., Chirlaque, M.D., Kaaks, R., Larrañaga, N., Palli, D., Perez-Cornago, A., Quirós, J.R., Ricceri, F., Sánchez, M.J., Tagliabue, G., Tsilidis, K.K., Tumino, R., Fortner, R.T., Ferrari, P., Riboli, E., Lilja, H., and Travis, R.C.
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- 2019
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3. Participant characteristics in the Health in Vegetarians Consortium: a collaborative analysis of 11 prospective studies
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Dunneram, Y., primary, Lee, J.Y., additional, Watling, C.Z., additional, Fraser, G.E., additional, Miles, F., additional, Prabhakaran, D., additional, Shridhar, K., additional, Kondal, D., additional, Mohan, V., additional, Ali, M.K., additional, Venkat Narayan, K.M., additional, Tandon, N., additional, Tong, T.Y.N., additional, Chiu, T.H.T., additional, Greenwood, D.C., additional, Du, H., additional, Chen, Z., additional, Kakkoura, M.G., additional, Reeves, G.K., additional, Papier, K., additional, Floud, S., additional, Sinha, R., additional, Liao, L., additional, Loftfield, E., additional, Cade, J.E., additional, Key, T.J., additional, and Perez-Cornago, A., additional
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- 2023
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4. Circulating prolactin and breast cancer risk among pre- and postmenopausal women in the EPIC cohort
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Tikk, K., Sookthai, D., Johnson, T., Rinaldi, S., Romieu, I., Tjønneland, A., Olsen, A., Overvad, K., Clavel-Chapelon, F., Baglietto, L., Boeing, H., Trichopoulou, A., Lagiou, P., Trichopoulos, D., Palli, D., Pala, V., Tumino, R., Rosso, S., Panico, S., Agudo, A., Menéndez, V., Sánchez, M.-J., Amiano, P., Huerta Castaño, J.M., Ardanaz, E., Bueno-de-Mesquita, H.B., Monninkhof, E., Onland-Moret, C., Andersson, A., Sund, M., Weiderpass, E., Khaw, K.-T., Key, T.J., Travis, R.C., Gunter, M.J., Riboli, E., Dossus, L., and Kaaks, R.
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- 2014
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5. Plasma concentrations and intakes of amino acids in male meat-eaters, fish-eaters, vegetarians and vegans: a cross-sectional analysis in the EPIC-Oxford cohort
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Schmidt, J.A., Rinaldi, S., Scalbert, A., Ferrari, P., Achaintre, D., Gunter, M.J., Appleby, P.N., Key, T.J., and Travis, R.C.
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Amino acids -- Health aspects -- Comparative analysis ,Blood plasma -- Health aspects -- Comparative analysis ,Food/cooking/nutrition ,Health - Abstract
BACKGROUND/OBJECTIVES: We aimed to investigate the differences in plasma concentrations and in intakes of amino acids between male meat-eaters, fish-eaters, vegetarians and vegans in the Oxford arm of the European Prospective Investigation into Cancer and Nutrition. SUBJECTS/METHODS: This cross-sectional analysis included 392 men, aged 30-49 years. Plasma amino acid concentrations were measured with a targeted metabolomic approach using mass spectrometry, and dietary intake was assessed using a food frequency questionnaire. Differences between diet groups in mean plasma concentrations and intakes of amino acids were examined using analysis of variance, controlling for potential confounding factors and multiple testing. RESULTS: In plasma, concentrations of 6 out of 21 amino acids varied significantly by diet group, with differences of -13% to +16% between meat-eaters and vegans. Concentrations of methionine, tryptophan and tyrosine were highest in fish-eaters and vegetarians, followed by meat-eaters, and lowest in vegans. A broadly similar pattern was seen for lysine, whereas alanine concentration was highest in fish-eaters and lowest in meat-eaters. For glycine, vegans had the highest concentration and meat-eaters the lowest. Intakes of all 18 dietary amino acids differed by diet group;for the majority of these, intake was highest in meat-eaters followed by fish-eaters, then vegetarians and lowest in vegans (up to 47% lower than in meat-eaters). CONCLUSIONS: Men belonging to different habitual diet groups have significantly different plasma concentrations of lysine, methionine, tryptophan, alanine, glycine and tyrosine. However, the differences in plasma concentrations were less marked than and did not necessarily mirror those seen for amino acid intakes. European Journal of Clinical Nutrition (2016) 70, 306-312; doi:10.1038/ejcn.2015.144; published online 23 September 2015, INTRODUCTION Amino acids are the building blocks of proteins (1) and are additionally utilised as a source of energy. They are necessary for the synthesis of a wide variety of [...]
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- 2016
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6. Biomarkers of folate and vitamin B12 and breast cancer risk: report from the EPIC cohort
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Matejcic, M., de Batlle, J., Ricci, C., Biessy, C., Perrier, F., Huybrechts, I., Weiderpass, E., BoutronRuault, M.C., Cadeau, C., His, M., Cox, D.G., Boeing, H., Fortner, R.T., Kaaks, R., Lagiou, P., Trichopoulou, A., Benetou, V., Tumino, R., Panico, S., Sieri, S., Palli, D., Ricceri, F., BuenodeMesquita, H.B(as), Skeie, G., Amiano, P., Sánchez, M.J., Chirlaque, M.D., Barricarte, A., Quirós, J.R., Buckland, G., van Gils, C.H., Peeters, P.H., Key, T.J., Riboli, E., Gylling, B., ZeleniuchJacquotte, A., Gunter, M.J., Romieu, I., and Chajès, V.
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- 2017
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7. Consumption of fatty foods and incident type 2 diabetes in populations from eight European countries
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Buijsse, B., Boeing, H., Drogan, D., Schulze, M.B., Feskens, E.J., Amiano, P., Barricarte, A., Clavel-Chapelon, F., de Lauzon-Guillain, B., Fagherazzi, G., Fonseca-Nunes, A., Franks, P.W., Huerta, J.M., Jakobsen, M.U., Kaaks, R., Key, T.J., Khaw, K.T., Masala, G., Moskal, A., Nilsson, P.M., Overvad, K., Pala, V., Panico, S., Redondo, M.L., Ricceri, F., Rolandsson, O., Sanchez, M.-J., Sluijs, I., Spijkerman, A.M., Tjonneland, A., Tumino, R., van der A, D.L., van der Schouw, Y.T., Langenberg, C., Sharp, S.J., Forouhi, N.G., Riboli, E., and Wareham, N.J.
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Oils and fats, Edible -- Health aspects -- Consumption data ,Type 2 diabetes -- Statistics ,Food/cooking/nutrition ,Health - Abstract
BACKGROUND/OBJECTIVES: Diets high in saturated and trans fat and low in unsaturated fat may increase type 2 diabetes (T2D) risk, but studies on foods high in fat per unit weight are sparse. We assessed whether the intake of vegetable oil, butter, margarine, nuts and seeds and cakes and cookies is related to incident T2D. SUBJECTS/METHODS: A case-cohort study was conducted, nested within eight countries of the European Prospective Investigation into Cancer (EPIC), with 12 403 incident T2D cases and a subcohort of 16 835 people, identified from a cohort of 340 234 people. Diet was assessed at baseline (1991-1999) by country-specific questionnaires. Country-specific hazard ratios (HRs) across four categories of fatty foods (nonconsumers and tertiles among consumers) were combined with random-effects meta-analysis. RESULTS: After adjustment not including body mass index (BMI), nonconsumers of butter, nuts and seeds and cakes and cookies were at higher T2D risk compared with the middle tertile of consumption. Among consumers, cakes and cookies were inversely related to T2D (HRs across increasing tertiles 1.14, 1.00 and 0.92, respectively; P-trend < 0.0001). All these associations attenuated upon adjustment for BMI, except the higher risk of nonconsumers of cakes and cookies (HR 1.57). Higher consumption of margarine became positively associated after BMI adjustment (HRs across increasing consumption tertiles: 0.93, 1.00 and 1.12; P-trend 0.03). Within consumers, vegetable oil, butter and nuts and seeds were unrelated to T2D. CONCLUSIONS: Fatty foods were generally not associated with T2D, apart from weak positive association for margarine. The higher risk among nonconsumers of cakes and cookies needs further explanation. European Journal of Clinical Nutrition (2015) 69, 455-461; doi: 10.1038/ejcn.2014.249; published online 26 November 2014, INTRODUCTION Diet is considered to be a crucial factor in the development of type 2 diabetes (T2D) and there has been a considerable interest in the role of the fat [...]
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- 2015
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8. Dietary patterns derived with multiple methods from food diaries and breast cancer risk in the UK dietary cohort consortium
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Pot, G.K., Stephen, A.M., Dahm, C.C., Key, T.J., Cairns, B.J., Burley, V.J., Cade, J.E., Greenwood, D.C., Keogh, R.H., Bhaniani, A., McTaggart, A., Lentjes, Mah, Mishra, G., Brunner, E.J., and Khaw, K.T.
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Breast cancer -- Risk factors ,Diet -- Health aspects ,Food/cooking/nutrition ,Health - Abstract
BACKGROUND/OBJECTIVES: In spite of several studies relating dietary patterns to breast cancer risk, evidence so far remains inconsistent. This study aimed to investigate associations of dietary patterns derived with three different methods with breast cancer risk. SUBJECTS/METHODS: The Mediterranean Diet Score (MDS), principal components analyses (PCA) and reduced rank regression (RRR) were used to derive dietary patterns in a case-control study of 610 breast cancer cases and 1891 matched controls within four UK cohort studies. Dietary intakes were collected prospectively using 4- to 7-day food diaries and resulting food consumption data were grouped into 42 food groups. Conditional logistic regression models were used to estimate odds ratios (ORs) for associations between pattern scores and breast cancer risk adjusting for relevant covariates. A separate model was fitted for post- menopausal women only. RESULTS: The MDS was not associated with breast cancer risk (OR comparing first tertile with third 1.20 (95% CI 0.92;1.56)), nor the first PCA-derived dietary pattern, explaining 2.7% of variation of diet and characterized by cheese, crisps and savoury snacks, legumes, nuts and seeds (OR 1.18 (95% CI 0.91; 1.53)). The first RRR-derived pattern, a 'high-alcohol' pattern, was associated with a higher risk of breast cancer (OR 1.27;95% CI 1.00;1.62), which was most pronounced in post-menopausal women (OR 1.46 (95% CI 1.08;1.98)). CONCLUSIONS: A 'high-alcohol' dietary pattern derived with RRR was associated with an increased breast cancer risk;no evidence of associations of other dietary patterns with breast cancer risk was observed in this study. European Journal of Clinical Nutrition (2014) 68, 1353-1358; doi: 10.1038/ejcn.2014.135; published online 23 July 2014, INTRODUCTION Diet could play a role in the on-going rise of breast cancer incidence, (1,2) but to what extent is still unclear. Individual dietary risk factors have been studied in [...]
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- 2014
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9. Serum concentrations of cholesterol, apolipoprotein A-I and apolipoprotein B in a total of 1694 meat-eaters, fish-eaters, vegetarians and vegans
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Bradbury, K.E., Crowe, F.L., Appleby, P.N., Schmidt, J.A., Travis, R.C., and Key, T.J.
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Blood cholesterol -- Analysis -- Measurement ,Apolipoproteins -- Analysis -- Measurement ,Body mass index -- Analysis -- Measurement ,Vegetarians -- Physiological aspects ,Food/cooking/nutrition ,Health - Abstract
BACKGROUND/OBJECTIVES: The objective of this study was to describe serum lipid concentrations, including apolipoproteins A-I and B, in different diet groups. SUBJECTS/METHODS: A cross-sectional analysis of a sample of 424 meat-eaters, 425 fish-eaters, 423 vegetarians and 422 vegans, matched on sex and age, from the European Prospective Investigation into Cancer and Nutrition-Oxford cohort. Serum concentrations of total, and high-density lipoprotein (HDL) cholesterol, as well as apolipoproteins A-I and B were measured, and serum non-HDL cholesterol was calculated. RESULTS: Vegans had the lowest body mass index (BMI) and the highest and lowest intakes of polyunsaturated and saturated fat, respectively. After adjustment for age, alcohol and physical activity, compared with meat-eaters, fish-eaters and vegetarians, serum concentrations of total and non-HDL cholesterol and apolipoprotein B were significantly lower in vegans. Serum apolipoprotein A-I concentrations did not differ between the diet groups. In males, the mean serum total cholesterol concentration was 0.87nmol/l lower in vegans than in meat-eaters; after further adjustment for BMI this difference was 0.76nmol/l. In females, the difference in total cholesterol between these two groups was 0.60nmol/l, and after further adjustment for BMI was 0.55nmol/l. CONCLUSIONS: In this study, which included a large number of vegans, serum total cholesterol and apolipoprotein B concentrations were lower in vegans compared with meat-eaters, fish-eaters and vegetarians. A small proportion of the observed differences in serum lipid concentrations was explained by differences in BMI, but a large proportion is most likely due to diet. European Journal of Clinical Nutrition (2014) 68, 178-183; doi: 10.1038/ejcn.2013.248; published online 18 December 2013 Keywords: lipids; cholesterol; apolipoproteins; vegetarian diet; vegan diet, INTRODUCTION Serum concentrations of total cholesterol and non-high-density lipoprotein (HDL) cholesterol are well-established risk factors for cardiovascular disease. (1) Apolipoprotein A-I and apolipoprotein B represent the number of circulating anti-atherogenic [...]
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- 2014
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10. Corrigendum to ‘Measures of body fatness and height in early and mid-to-late adulthood and prostate cancer: risk and mortality in The Pooling Project of Prospective Studies of Diet and Cancer’
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Genkinger, J.M., primary, Wu, K., additional, Wang, M., additional, Albanes, D., additional, Black, A., additional, van den Brandt, P.A., additional, Burke, K.A., additional, Cook, M.B., additional, Gapstur, S.M., additional, Giles, G.G., additional, Giovannucci, E., additional, Goodman, G.G., additional, Goodman, P.J., additional, Håkansson, N., additional, Key, T.J., additional, Männistö, S., additional, Le Marchand, L., additional, Liao, L.M., additional, MacInnis, R.J., additional, Neuhouser, M.L., additional, Platz, E.A., additional, Sawada, N., additional, Schenk, J.M., additional, Stevens, V.L., additional, Travis, R.C., additional, Tsugane, S., additional, Visvanathan, K., additional, Wilkens, L.R., additional, Wolk, A., additional, and Smith-Warner, S.A., additional
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- 2021
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11. 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
12. 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
13. 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
- Published
- 2021
14. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.
- Author
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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
15. 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
16. 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., Tjonneland, 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., Quires, J.R., Buckland, G., Sanchez, 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.
- Subjects
Fiber in human nutrition -- Physiological aspects -- Health aspects ,Mortality -- Research -- Italy -- United Kingdom -- Netherlands ,Ischemia -- Physiological aspects -- Development and progression ,Food/cooking/nutrition ,Health - Abstract
BACKGROUND/OBJECTIVES: Evidence from prospective studies is consistent in showing an inverse association between dietary fibre intake and risk of ischaemic heart disease (IHD), but whether dietary fibre from various food sources differ in their effect on IHD risk is less clear. The objective of this study was to assess the associations of total and food sources of dietary fibre with IHD mortality in the European Prospective Investigation into Cancer and Nutrition-Heart study. SUBJECTS/METHODS: Participants were 306 331 men and women from eight European countries. Dietary fibre intake was assessed using centre or country-specific diet questionnaires and calibrated using a 24-h diet recall. RESULTS: After an average follow-up of 11.5 years, there were 2381 IHD deaths among participants without cardiovascular disease at baseline. The calibrated intake of dietary fibre was inversely related with IHD mortality;each 10 g/day was associated with a 15% lower risk (relative risk (RR) 0.85;95% confidence interval (CI): 0.73-0.99, P -- 0.031). There was no difference in the associations of the individual food sources of dietary fibre with the risk of IHD mortality;RR for each 5 g/day higher cereal fibre intake was 0.91 (CI: 0.82-1.01), RR for each 2.5 g/day fruit fibre intake was 0.94 (CI: 0.88-1.01) and RR for each 2.5 g/day vegetable fibre intake was 0.90 (95% CI: 0.76-1.07). CONCLUSION: A higher consumption of dietary fibre is associated with a lower risk of fatal IHD with no clear difference in the association with IHD for fibre from cereals, fruits or vegetables. European Journal of Clinical Nutrition (2012) 66, 950-956;doi:10.1038/ejcn.2012.51; published online 23 May 2012 Keywords: dietary fibre;ischaemic heart disease;prospective cohort studies, Ecological comparisons and time trend analyses of ischaemic heart disease (IHD) rates formed the basis for the idea that a higher consumption of dietary fibre was associated with lower rates [...]
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- 2012
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17. Vitamin C intake from diary recordings and risk of breast cancer in the UK dietary cohort consortium
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Hutchinson, J., Lentjes, M.A.H., Greenwood, D.C., Burley, V.J., Cade, J.E., Cleghorn, C.L., Threapleton, D.E., Key, T.J., Cairns, B.J., Keogh, R.H., Dahm, C.C., Brunner, E.J., Shipley, M.J., Kuh, D., Mishra, G., Stephen, A.M., Bhaniani, A., Borgulya, G., and Khaw, K.T.
- Subjects
Nutrition -- Product/Service Evaluations ,Vitamin C deficiency -- Research ,Breast cancer -- Research ,Food/cooking/nutrition ,Health - Abstract
Background/Objectives: Vitamin C intake has been inversely associated with breast cancer risk in case-control studies, but not in meta-analyses of cohort studies using Food Frequency Questionnaires, which can over-report fruit and vegetable intake, the main source of vitamin C. This is the first study to investigate associations between vitamin C intake and breast cancer risk using food diaries. Subjects/Methods: Estimated dietary vitamin C intake was derived from 4-7 day food diaries pooled from five prospective studies in the UK Dietary Cohort Consortium. This nested case--control study of 707 incident breast cancer cases and 2144 matched controls examined breast cancer risk in relation to dietary vitamin C intake using conditional logistic regression adjusting for relevant covariates. Additionally, total vitamin C intake from supplements and diet was analysed in three cohorts. Results: No evidence of associations was observed between breast cancer risk and vitamin C intake analysed for dietary vitamin C intake (odds ratios (OR) = 0.98 per 60 mg/day, 95% confidence interval (CI): 0.88-1.09, [P.sub.trend] = 0.7), dietary vitamin C density (OR = 0.97 per 60 mg/day, 95% CI: 0.87-1.07, [P.sub.trend] = 0.5) or total vitamin C intake (OR = 1.01 per 60 mg/day, 95% CI: 0.99-1.03, [P.sub.trend] = 0.3). Additionally, there was no significant association for post-menopausal women (OR = 1.02 per 60 mg/day, 95% CI: 0.99-1.05, [P.sub.trend] = 0.3). Conclusions: This pooled analysis of individual UK women found no evidence of significant associations between breast cancer incidence and dietary or total vitamin C intake derived uniquely from detailed diary recordings. European Journal of Clinical Nutrition (2012) 66, 561-568; doi: 10.1038/ejcn.2011.197; published online 30 November 2011 Keywords: breast cancer; vitamin C; cohort studies; food diaries, Introduction In the UK a woman's cumulative risk of being diagnosed with breast cancer is 6% by the age of 65, and 11% over a lifetime (Office for National Statistics, [...]
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- 2012
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18. Cytokine gene polymorphisms and the risk of adenocarcinoma of the stomach in the European prospective investigation into cancer and nutrition (EPIC-EURGAST)
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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.
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- 2008
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19. Serum concentrations of vitamin B12 and folate in British male omnivores, vegetarians and vegans: results from a cross-sectional analysis of the EPIC-oxford cohort study
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Gilsing, A.M.J., Crowe, F.L., Lloyd-Wright, Z., Sanders, T.A.B., Appleby, P.N., Allen, N.E., and Key, T.J.
- Subjects
Folic acid -- Measurement -- Physiological aspects -- Health aspects ,Veganism -- Health aspects -- Measurement -- Physiological aspects ,Vitamin B12 -- Measurement -- Health aspects -- Physiological aspects ,Vitamin B12 deficiency -- Risk factors ,Food habits -- Health aspects -- Physiological aspects -- Measurement ,Vegetarians -- Physiological aspects -- Health aspects -- Measurement - Abstract
Background/Objectives: Vegans, and to a lesser extent vegetarians, have low average circulating concentrations of vitamin B12; however, the relation between factors such as age or time on these diets and vitamin B12 concentrations is not clear. The objectives of this study were to investigate differences in serum vitamin B12 and folate concentrations between omnivores, vegetarians and vegans and to ascertain whether vitamin B12 concentrations differed by age and time on the diet. Subjects/Methods: A cross-sectional analysis involving 689 men (226 omnivores, 231 vegetarians and 232 vegans) from the European Prospective Investigation into Cancer and Nutrition Oxford cohort. Results: Mean serum vitamin B12 was highest among omnivores (281, 95% CI: 270-292 pmol/l), intermediate among vegetarians (182, 95% CI: 175-189 pmol/l) and lowest among vegans (122, 95% CI: 117-127 pmol/l). In all, 52% of vegans, 7% of vegetarians and one omnivore were classified as vitamin B12 deficient (defined as serum vitamin B12 < 118pmol/l). There was no significant association between age or duration of adherence to a vegetarian or a vegan diet and serum vitamin B12. In contrast, folate concentrations were highest among vegans, intermediate among vegetarians and lowest among omnivores, but only two men (both omnivores) were categorized as folate deficient (defined as serum folate < 6.3 nmol/l). Conclusion: Vegans have lower vitamin B12 concentrations, but higher folate concentrations, than vegetarians and omnivores. Half of the vegans were categorized as vitamin B12 deficient and would be expected to have a higher risk of developing clinical symptoms related to vitamin B12 deficiency. European Journal of Clinical Nutrition (2010) 64, 933-939; doi:10.1038/ejcn.2010.142; published online 21 July 2010 Keywords: vitamin B12; folate; vegetarian; vegan, Introduction Although individuals who consume vegetarian or vegan diets may have a lower risk of cardiovascular disease (Key et al., 1999, 2009), there may also be a greater risk of [...]
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- 2010
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20. Alcohol Consumption and Risk of Parkinson's Disease: Data From a Large Prospective European Cohort
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Peters, S. Gallo, V. Vineis, P. Middleton, L.T. Forsgren, L. Sacerdote, C. Sieri, S. Kyrozis, A. Chirlaque, M.-D. Zamora-Ros, R. Hansson, O. Petersson, J. Katzke, V. Kühn, T. Mokoroa, O. Masala, G. Ardanaz, E. Panico, S. Bergmann, M.M. Key, T.J. Weiderpass, E. Ferrari, P. Vermeulen, R.
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Background: Parkinson's disease (PD) etiology is not well understood. Reported inverse associations with smoking and coffee consumption prompted the investigation of alcohol consumption as a risk factor, for which evidence is inconclusive. Objective: To assess the associations between alcohol consumption and PD risk. Methods: Within NeuroEPIC4PD, a prospective European population-based cohort, 694 incident PD cases were ascertained from 209,998 PD-free participants. Average alcohol consumption at different time points was self-reported at recruitment. Cox regression hazard ratios were estimated for alcohol consumption and PD occurrence. Results: No associations between baseline or lifetime total alcohol consumption and PD risk were observed. Men with moderate lifetime consumption (5–29.9 g/day) were at ~50% higher risk compared with light consumption (0.1–4.9 g/day), but no linear exposure–response trend was observed. Analyses by beverage type also revealed no associations with PD. Conclusion: Our data reinforce previous findings from prospective studies showing no association between alcohol consumption and PD risk. © 2020 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society. © 2020 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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- 2020
21. Intake of individual fatty acids and risk of prostate cancer in the European prospective investigation into cancer and nutrition
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Perez-Cornago, A. Huybrechts, I. Appleby, P.N. Schmidt, J.A. Crowe, F.L. Overvad, K. Tjønneland, A. Kühn, T. Katzke, V. Trichopoulou, A. Karakatsani, A. Peppa, E. Grioni, S. Palli, D. Sacerdote, C. Tumino, R. Bueno-de-Mesquita, H.B. Larrañaga, N. Sánchez, M.-J. Quirós, J.R. Ardanaz, E. Chirlaque, M.-D. Agudo, A. Bjartell, A. Wallström, P. Chajes, V. Tsilidis, K.K. Aune, D. Riboli, E. Travis, R.C. Key, T.J.
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The associations of individual dietary fatty acids with prostate cancer risk have not been examined comprehensively. We examined the prospective association of individual dietary fatty acids with prostate cancer risk overall, by tumor subtypes, and prostate cancer death. 142,239 men from the European Prospective Investigation into Cancer and Nutrition who were free from cancer at recruitment were included. Dietary intakes of individual fatty acids were estimated using center-specific validated dietary questionnaires at baseline and calibrated with 24-h recalls. Multivariable Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). After an average follow-up of 13.9 years, 7,036 prostate cancer cases and 936 prostate cancer deaths were ascertained. Intakes of individual fatty acids were not related to overall prostate cancer risk. There was evidence of heterogeneity in the association of some short chain saturated fatty acids with prostate cancer risk by tumor stage (pheterogeneity < 0.015), with a positive association with risk of advanced stage disease for butyric acid (4:0; HR1SD = 1.08; 95%CI = 1.01–1.15; p-trend = 0.026). There were no associations with fatal prostate cancer, with the exception of a slightly higher risk for those who consumed more eicosenoic acid (22:1n-9c; HR1SD = 1.05; 1.00–1.11; p-trend = 0.048) and eicosapentaenoic acid (20:5n-3c; HR1SD = 1.07; 1.00–1.14; p-trend = 0.045). There was no evidence that dietary intakes of individual fatty acids were associated with overall prostate cancer risk. However, a higher intake of butyric acid might be associated with a higher risk of advanced, whereas intakes of eicosenoic and eicosapentaenoic acids might be positively associated with fatal prostate cancer risk. © 2019 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC
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- 2020
22. A nutrient-wide association study for risk of prostate cancer in the European Prospective Investigation into Cancer and Nutrition and the Netherlands Cohort Study
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Papadimitriou, N. Muller, D. van den Brandt, P.A. Geybels, M. Patel, C.J. Gunter, M.J. Lopez, D.S. Key, T.J. Perez-Cornago, A. Ferrari, P. Vineis, P. Weiderpass, E. Boeing, H. Agudo, A. Sánchez, M.-J. Overvad, K. Kühn, T. Fortner, R.T. Palli, D. Drake, I. Bjartell, A. Santiuste, C. Bueno-de-Mesquita, B.H. Krogh, V. Tjønneland, A. Lauritzen, D.F. Gurrea, A.B. Quirós, J.R. Stattin, P. Trichopoulou, A. Martimianaki, G. Karakatsani, A. Thysell, E. Johansson, I. Ricceri, F. Tumino, R. Larrañaga, N. Khaw, K.T. Riboli, E. Tzoulaki, I. Tsilidis, K.K.
- Abstract
Purpose: The evidence from the literature regarding the association of dietary factors and risk of prostate cancer is inconclusive. Methods: A nutrient-wide association study was conducted to systematically and comprehensively evaluate the associations between 92 foods or nutrients and risk of prostate cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC). Cox proportional hazard regression models adjusted for total energy intake, smoking status, body mass index, physical activity, diabetes and education were used to estimate hazard ratios and 95% confidence intervals for standardized dietary intakes. As in genome-wide association studies, correction for multiple comparisons was applied using the false discovery rate (FDR ' 5%) method and suggested results were replicated in an independent cohort, the Netherlands Cohort Study (NLCS). Results: A total of 5916 and 3842 incident cases of prostate cancer were diagnosed during a mean follow-up of 14 and 20 years in EPIC and NLCS, respectively. None of the dietary factors was associated with the risk of total prostate cancer in EPIC (minimum FDR-corrected P, 0.37). Null associations were also observed by disease stage, grade and fatality, except for positive associations observed for intake of dry cakes/biscuits with low-grade and butter with aggressive prostate cancer, respectively, out of which the intake of dry cakes/biscuits was replicated in the NLCS. Conclusions: Our findings provide little support for an association for the majority of the 92 examined dietary factors and risk of prostate cancer. The association of dry cakes/biscuits with low-grade prostate cancer warrants further replication given the scarcity in the literature. © 2019, The Author(s).
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- 2020
23. Patterns in metabolite profile are associated with risk of more aggressive prostate cancer: A prospective study of 3,057 matched case–control sets from EPIC
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Schmidt, J.A. Fensom, G.K. Rinaldi, S. Scalbert, A. Appleby, P.N. Achaintre, D. Gicquiau, A. Gunter, M.J. Ferrari, P. Kaaks, R. Kühn, T. Boeing, H. Trichopoulou, A. Karakatsani, A. Peppa, E. Palli, D. Sieri, S. Tumino, R. Bueno-de-Mesquita, B. Agudo, A. Sánchez, M.-J. Chirlaque, M.-D. Ardanaz, E. Larrañaga, N. Perez-Cornago, A. Assi, N. Riboli, E. Tsilidis, K.K. Key, T.J. Travis, R.C.
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Metabolomics may reveal novel insights into the etiology of prostate cancer, for which few risk factors are established. We investigated the association between patterns in baseline plasma metabolite profile and subsequent prostate cancer risk, using data from 3,057 matched case–control sets from the European Prospective Investigation into Cancer and Nutrition (EPIC). We measured 119 metabolite concentrations in plasma samples, collected on average 9.4 years before diagnosis, by mass spectrometry (AbsoluteIDQ p180 Kit, Biocrates Life Sciences AG). Metabolite patterns were identified using treelet transform, a statistical method for identification of groups of correlated metabolites. Associations of metabolite patterns with prostate cancer risk (OR1SD) were estimated by conditional logistic regression. Supplementary analyses were conducted for metabolite patterns derived using principal component analysis and for individual metabolites. Men with metabolite profiles characterized by higher concentrations of either phosphatidylcholines or hydroxysphingomyelins (OR1SD = 0.77, 95% confidence interval 0.66–0.89), acylcarnitines C18:1 and C18:2, glutamate, ornithine and taurine (OR1SD = 0.72, 0.57–0.90), or lysophosphatidylcholines (OR1SD = 0.81, 0.69–0.95) had lower risk of advanced stage prostate cancer at diagnosis, with no evidence of heterogeneity by follow-up time. Similar associations were observed for the two former patterns with aggressive disease risk (the more aggressive subset of advanced stage), while the latter pattern was inversely related to risk of prostate cancer death (OR1SD = 0.77, 0.61–0.96). No associations were observed for prostate cancer overall or less aggressive tumor subtypes. In conclusion, metabolite patterns may be related to lower risk of more aggressive prostate tumors and prostate cancer death, and might be relevant to etiology of advanced stage prostate cancer. © 2019 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC
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- 2020
24. The associations of major foods and fibre with risks of ischaemic and haemorrhagic stroke: A prospective study of 418 329 participants in the EPIC cohort across nine European countries
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Tong, T.Y.N. Appleby, P.N. Key, T.J. Dahm, C.C. Overvad, K. Olsen, A. Tjønneland, A. Katzke, V. Kühn, T. Boeing, H. Karakatsani, A. Peppa, E. Trichopoulou, A. Weiderpass, E. Masala, G. Grioni, S. Panico, S. Tumino, R. Boer, J.M.A. Verschuren, W.M.M. Quirós, J.R. Agudo, A. Rodríguez-Barranco, M. Imaz, L. Chirlaque, M.-D. Moreno-Iribas, C. Engström, G. Sonestedt, E. Lind, M. Otten, J. Khaw, K.-T. Aune, D. Riboli, E. Wareham, N.J. Imamura, F. Forouhi, N.G. Di Angelantonio, E. Wood, A.M. Butterworth, A.S. Perez-Cornago, A.
- Abstract
Aim: To investigate the associations between major foods and dietary fibre with subtypes of stroke in a large prospective cohort. Methods and results: We analysed data on 418 329 men and women from nine European countries, with an average of 12.7 years of follow-up. Diet was assessed using validated country-specific questionnaires which asked about habitual intake over the past year, calibrated using 24-h recalls. Multivariable-adjusted Cox regressions were used to estimate hazard ratios (HRs) for ischaemic and haemorrhagic stroke associated with consumption of red and processed meat, poultry, fish, dairy foods, eggs, cereals, fruit and vegetables, legumes, nuts and seeds, and dietary fibre. For ischaemic stroke (4281 cases), lower risks were observed with higher consumption of fruit and vegetables combined (HR; 95% CI per 200 g/day higher intake, 0.87; 0.82-0.93, P-trend < 0.001), dietary fibre (per 10 g/day, 0.77; 0.69-0.86, P-trend < 0.001), milk (per 200 g/day, 0.95; 0.91-0.99, P-trend = 0.02), yogurt (per 100 g/day, 0.91; 0.85-0.97, P-trend = 0.004), and cheese (per 30 g/day, 0.88; 0.81-0.97, P-trend = 0.008), while higher risk was observed with higher red meat consumption which attenuated when adjusted for the other statistically significant foods (per 50 g/day, 1.07; 0.96-1.20, P-trend = 0.20). For haemorrhagic stroke (1430 cases), higher risk was associated with higher egg consumption (per 20 g/day, 1.25; 1.09-1.43, P-trend = 0.002). Conclusion: Risk of ischaemic stroke was inversely associated with consumption of fruit and vegetables, dietary fibre, and dairy foods, while risk of haemorrhagic stroke was positively associated with egg consumption. The apparent differences in the associations highlight the importance of examining ischaemic and haemorrhagic stroke subtypes separately. © 2020 The Author(s) 2020. Published by Oxford University Press on behalf of the European Society of Cardiology.
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- 2020
25. Recommended definitions of aggressive prostate cancer for etiologic epidemiologic research.
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Platz E.A., Hurwitz L.M., Agalliu I., Albanes D., Barry K.H., Berndt S.I., Cai Q., Weinstein S.J., Wu L., Jacobs E.J., Mucci L.A., Cook M.B., Chen C., Cheng I., Genkinger J.M., Giles G.G., Huang J., Joshu C.E., Key T.J., Knutsen S., Koutros S., Langseth H., Li S.X., MacInnis R.J., Markt S.C., Penney K.L., Perez-Cornago A., Rohan T.E., Smith-Warner S.A., Stampfer M.J., Stopsack K.H., Tangen C.M., Travis R.C., Platz E.A., Hurwitz L.M., Agalliu I., Albanes D., Barry K.H., Berndt S.I., Cai Q., Weinstein S.J., Wu L., Jacobs E.J., Mucci L.A., Cook M.B., Chen C., Cheng I., Genkinger J.M., Giles G.G., Huang J., Joshu C.E., Key T.J., Knutsen S., Koutros S., Langseth H., Li S.X., MacInnis R.J., Markt S.C., Penney K.L., Perez-Cornago A., Rohan T.E., Smith-Warner S.A., Stampfer M.J., Stopsack K.H., Tangen C.M., and Travis R.C.
- Abstract
BACKGROUND: In the era of widespread prostate-specific antigen testing, it is important to focus etiologic research on the outcome of aggressive prostate cancer, but studies have defined this outcome differently. We aimed to develop an evidence-based consensus definition of aggressive prostate cancer using clinical features at diagnosis for etiologic epidemiologic research. METHOD(S): Among prostate cancer cases diagnosed in 2007 in the U.S. SEER-18 database with follow-up through 2017, we compared the performance of categorizations of aggressive prostate cancer in discriminating fatal prostate cancer within 10 years of diagnosis, placing the most emphasis on sensitivity and positive predictive value (PPV). RESULT(S): In our case population (n=55,900), 3,073 men died of prostate cancer within 10 years. Among 12 definitions that included TNM stage and Gleason score, sensitivities ranged from 0.64 to 0.89 and PPVs ranged from 0.09 to 0.23. We propose defining aggressive prostate cancer as diagnosis of stage T4 or N1 or M1 or Gleason score >=8 prostate cancer, as this definition had one of the higher PPVs (0.23, 95% confidence interval [CI] 0.22-0.24) and reasonable sensitivity (0.66, 95% CI 0.64-0.67) for prostate cancer death within 10 years. Results were similar across sensitivity analyses. CONCLUSION(S): We recommend that etiologic epidemiologic studies of prostate cancer report results for this definition of aggressive prostate cancer. We also recommend that studies separately report results for advanced stage (T4 or N1 or M1), high grade (Gleason score >=8), and fatal prostate cancer. Use of this comprehensive set of endpoints will facilitate comparison of results from different studies and help elucidate prostate cancer etiology.Copyright Published by Oxford University Press 2020.
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- 2020
26. Meat intake and inflammation: prospective analyses in 15,433 participants of the UK Biobank
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Papier, K., primary, Hartman, L., additional, Tong, T.Y.N., additional, Key, T.J., additional, and Knuppel, A., additional
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- 2021
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27. Associations between dietary macronutrients and blood lipids in the UK Biobank study
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Kelly, R.K., primary, Watling, C., additional, Tong, T.Y.N., additional, Piernas, C., additional, Fensom, G., additional, Carter, J., additional, Papier, K., additional, Key, T.J., additional, and Perez-Cornago, A., additional
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- 2020
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28. Measures of body fatness and height in early and mid-to-late adulthood and prostate cancer: risk and mortality in The Pooling Project of Prospective Studies of Diet and Cancer
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Genkinger, J.M., primary, Wu, K., additional, Wang, M., additional, Albanes, D., additional, Black, A., additional, van den Brandt, P.A., additional, Burke, K.A., additional, Cook, M.B., additional, Gapstur, S.M., additional, Giles, G.G., additional, Giovannucci, E., additional, Goodman, G.G., additional, Goodman, P.J., additional, Håkansson, N., additional, Key, T.J., additional, Männistö, S., additional, Le Marchand, L., additional, Liao, L.M., additional, MacInnis, R.J., additional, Neuhouser, M.L., additional, Platz, E.A., additional, Sawada, N., additional, Schenk, J.M., additional, Stevens, V.L., additional, Travis, R.C., additional, Tsugane, S., additional, Visvanathan, K., additional, Wilkens, L.R., additional, Wolk, A., additional, and Smith-Warner, S.A., additional
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- 2020
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29. Association between macronutrients and fibre with circulating Insulin-Like Growth Factor-I in the UK Biobank
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Watling, C.Z., primary, Kelly, R.K., additional, Tong, T.Y.N., additional, Fensom, G., additional, Piernas, C., additional, Watts, E.L., additional, Tin, S. Tin, additional, Knuppel, A., additional, Schmidt, J., additional, Travis, R.C., additional, Key, T.J., additional, and Perez-Cornago, A., additional
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- 2020
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30. Development and validation of circulating CA125 prediction models in postmenopausal women
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Sasamoto, N. Babic, A. Rosner, B.A. Fortner, R.T. Vitonis, A.F. Yamamoto, H. Fichorova, R.N. Titus, L.J. Tjønneland, A. Hansen, L. Kvaskoff, M. Fournier, A. Mancini, F.R. Boeing, H. Trichopoulou, A. Peppa, E. Karakatsani, A. Palli, D. Grioni, S. Mattiello, A. Tumino, R. Fiano, V. Onland-Moret, N.C. Weiderpass, E. Gram, I.T. Quirós, J.R. Lujan-Barroso, L. Sánchez, M.-J. Colorado-Yohar, S. Barricarte, A. Amiano, P. Idahl, A. Lundin, E. Sartor, H. Khaw, K.-T. Key, T.J. Muller, D. Riboli, E. Gunter, M. Dossus, L. Trabert, B. Wentzensen, N. Kaaks, R. Cramer, D.W. Tworoger, S.S. Terry, K.L.
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endocrine system diseases ,female genital diseases and pregnancy complications - Abstract
Background: Cancer Antigen 125 (CA125) is currently the best available ovarian cancer screening biomarker. However, CA125 has been limited by low sensitivity and specificity in part due to normal variation between individuals. Personal characteristics that influence CA125 could be used to improve its performance as screening biomarker. Methods: We developed and validated linear and dichotomous (≥35 U/mL) circulating CA125 prediction models in postmenopausal women without ovarian cancer who participated in one of five large population-based studies: Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO, n = 26,981), European Prospective Investigation into Cancer and Nutrition (EPIC, n = 861), the Nurses' Health Studies (NHS/NHSII, n = 81), and the New England Case Control Study (NEC, n = 923). The prediction models were developed using stepwise regression in PLCO and validated in EPIC, NHS/NHSII and NEC. Result: The linear CA125 prediction model, which included age, race, body mass index (BMI), smoking status and duration, parity, hysterectomy, age at menopause, and duration of hormone therapy (HT), explained 5% of the total variance of CA125. The correlation between measured and predicted CA125 was comparable in PLCO testing dataset (r = 0.18) and external validation datasets (r = 0.14). The dichotomous CA125 prediction model included age, race, BMI, smoking status and duration, hysterectomy, time since menopause, and duration of HT with AUC of 0.64 in PLCO and 0.80 in validation dataset. Conclusions: The linear prediction model explained a small portion of the total variability of CA125, suggesting the need to identify novel predictors of CA125. The dichotomous prediction model showed moderate discriminatory performance which validated well in independent dataset. Our dichotomous model could be valuable in identifying healthy women who may have elevated CA125 levels, which may contribute to reducing false positive tests using CA125 as screening biomarker. © 2019 The Author(s).
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- 2019
31. Association of menopausal characteristics and risk of coronary heart disease: A pan-European case-cohort analysis
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Dam, V. Van Der Schouw, Y.T. Onland-Moret, N.C. Groenwold, R.H.H. Peters, S.A.E. Burgess, S. Wood, A.M. Chirlaque, M.-D. Moons, K.G.M. Oliver-Williams, C. Schuit, E. Tikk, K. Weiderpass, E. Holm, M. Tjønneland, A. Kühn, T. Fortner, R.T. Trichopoulou, A. Karakatsani, A. La Vecchia, C. Ferrari, P. Gunter, M. Masala, G. Sieri, S. Tumino, R. Panico, S. Boer, J.M.A. Monique Verschuren, W.M. Salamanca-Fernández, E. Arriola, L. Moreno-Iribas, C. Engström, G. Melander, O. Nordendahl, M. Wennberg, P. Key, T.J. Colorado-Yohar, S. Matullo, G. Overvad, K. Clavel-Chapelon, F. Boeing, H. Ramon Quiros, J. Di Angelantonio, E. Langenberg, C. Sweeting, M.J. Riboli, E. Wareham, N.J. Danesh, J. Butterworth, A.
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Background: Earlier age at menopause has been associated with increased risk of coronary heart disease (CHD), but the shape of association and role of established cardiovascular risk factors remain unclear. Therefore, we examined the associations between menopausal characteristics and CHD risk; the shape of the association between age at menopause and CHD risk; and the extent to which these associations are explained by established cardiovascular risk factors. Methods: We used data from EPIC-CVD, a case-cohort study, which includes data from 23 centres from 10 European countries. We included only women, of whom 10 880 comprise the randomly selected sub-cohort, supplemented with 4522 cases outside the sub-cohort. We conducted Prentice-weighted Cox proportional hazards regressions with age as the underlying time scale, stratified by country and adjusted for relevant confounders. Results: After confounder and intermediate adjustment, post-menopausal women were not at higher CHD risk compared with pre-menopausal women. Among post-menopausal women, earlier menopause was linearly associated with higher CHD risk [HRconfounder and intermediate adjusted per-year decrease = 1.02, 95% confidence interval (CI) = 1.01-1.03, p = 0.001]. Women with a surgical menopause were at higher risk of CHD compared with those with natural menopause (HRconfounder-adjusted = 1.25, 95% CI = 1.10-1.42, p < 0.001), but this attenuated after additional adjustment for age at menopause and intermediates (HR = 1.12, 95% CI = 0.96-1.29, p = 0.15). A proportion of the association was explained by cardiovascular risk factors. Conclusions: Earlier and surgical menopause were associated with higher CHD risk. These associations could partially be explained by differences in conventional cardiovascular risk factors. These women might benefit from close monitoring of cardiovascular risk factors and disease. © 2019 The Author(s).
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- 2019
32. Timing of eating across ten European countries - Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study
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Huseinovic, E. Winkvist, A. Freisling, H. Slimani, N. Boeing, H. Buckland, G. Schwingshackl, L. Olsen, A. Tjonneland, A. Stepien, M. Boutron-Ruault, M.-C. Mancini, F. Artaud, F. Kühn, T. Katzke, V. Trichopoulou, A. Naska, A. Orfanos, P. Tumino, R. Masala, G. Krogh, V. Santucci De Magistris, M. Ocké, M.C. Brustad, M. Jensen, T.E. Skeie, G. Rodríguez-Barranco, M. Huerta, J.M. Ardanaz, E. Quirós, J.R. Jakszyn, P. Sonestedt, E. Ericson, U. Wennberg, M. Key, T.J. Aune, D. Riboli, E. Weiderpass, E. Bertéus Forslund, H.
- Abstract
Objective To examine timing of eating across ten European countries.Design Cross-sectional analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study using standardized 24 h diet recalls collected during 1995-2000. Eleven predefined food consumption occasions were assessed during the recall interview. We present time of consumption of meals and snacks as well as the later:earlier energy intake ratio, with earlier and later intakes defined as 06.00-14.00 and 15.00-24.00 hours, respectively. Type III tests were used to examine associations of sociodemographic, lifestyle and health variables with timing of energy intake.Setting Ten Western European countries.Subjects In total, 22 985 women and 13 035 men aged 35-74 years (n 36 020).Results A south-north gradient was observed for timing of eating, with later consumption of meals and snacks in Mediterranean countries compared with Central and Northern European countries. However, the energy load was reversed, with the later:earlier energy intake ratio ranging from 0·68 (France) to 1·39 (Norway) among women, and from 0·71 (Greece) to 1·35 (the Netherlands) among men. Among women, country, age, education, marital status, smoking, day of recall and season were all independently associated with timing of energy intake (all P
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- 2019
33. Predicting circulating CA125 levels among healthy premenopausal women
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Sasamoto, N. Babic, A. Rosner, B.A. Fortner, R.T. Vitonis, A.F. Yamamoto, H. Fichorova, R.N. Tjønneland, A. Hansen, L. Overvad, K. Kvaskoff, M. Fournier, A. Mancini, F.R. Boeing, H. Trichopoulou, A. Peppa, E. Karakatsani, A. Palli, D. Pala, V. Mattiello, A. Tumino, R. Grasso, C.C. Onland-Moret, N.C. Weiderpass, E. Quiros, J.R. Lujan-Barroso, L. Rodríguez-Barranco, M. Colorado-Yohar, S. Barricarte, A. Dorronsoro, M. Idahl, A. Lundin, E. Sartor, H. Khaw, K.-T. Key, T.J. Muller, D. Riboli, E. Gunter, M.J. Dossus, L. Kaaks, R. Cramer, D.W. Tworoger, S.S. Terry, K.L.
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endocrine system diseases ,female genital diseases and pregnancy complications - Abstract
Background: Cancer antigen 125 (CA125) is the most promising ovarian cancer screening biomarker to date. Multiple studies reported CA125 levels vary by personal characteristics, which could inform personalized CA125 thresholds. However, this has not been well described in premenopausal women. Methods: We evaluated predictors of CA125 levels among 815 premenopausal women from the New England Case Control Study (NEC). We developed linear and dichotomous (-35 U/mL) CA125 prediction models and externally validated an abridged model restricting to available predictors among 473 premenopausal women in the European Prospective Investigation into Cancer and Nutrition Study (EPIC). Results: The final linear CA125 prediction model included age, race, tubal ligation, endometriosis, menstrual phase at blood draw, and fibroids, which explained 7% of the total variance of CA125. The correlation between observed and predicted CA125 levels based on the abridged model (including age, race, and menstrual phase at blood draw) had similar correlation coefficients in NEC (r = 0.22) and in EPIC (r= 0.22). The dichotomous CA125 prediction model included age, tubal ligation, endometriosis, prior personal cancer diagnosis, family history of ovarian cancer, number of miscarriages, menstrual phase at blood draw, and smoking status with AUC of 0.83. The abridged dichotomous model (including age, number of miscarriages, menstrual phase at blood draw, and smoking status) showed similar AUCs in NEC (0.73) and in EPIC (0.78). Conclusions: We identified a combination of factors associated with CA125 levels in premenopausal women. Impact: Our model could be valuable in identifying healthy women likely to have elevated CA125 and consequently improve its specificity for ovarian cancer screening. © 2019 American Association for Cancer Research.
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- 2019
34. Consumption of Meat, Fish, Dairy Products, and Eggs and Risk of Ischemic Heart Disease: A Prospective Study of 7198 Incident Cases among 409 885 Participants in the Pan-European EPIC Cohort
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Key, T.J. Appleby, P.N. Bradbury, K.E. Sweeting, M. Wood, A. Johansson, I. Kühn, T. Steur, M. Weiderpass, E. Wennberg, M. Lund Würtz, A.M. Agudo, A. Andersson, J. Arriola, L. Boeing, H. Boer, J.M.A. Bonnet, F. Boutron-Ruault, M.-C. Cross, A.J. Ericson, U. Fagherazzi, G. Ferrari, P. Gunter, M. Huerta, J.M. Katzke, V. Khaw, K.-T. Krogh, V. La Vecchia, C. Matullo, G. Moreno-Iribas, C. Naska, A. Nilsson, L.M. Olsen, A. Overvad, K. Palli, D. Panico, S. Molina-Portillo, E. Quirós, J.R. Skeie, G. Sluijs, I. Sonestedt, E. Stepien, M. Tjønneland, A. Trichopoulou, A. Tumino, R. Tzoulaki, I. Van Der Schouw, Y.T. Verschuren, W.M.M. Di Angelantonio, E. Langenberg, C. Forouhi, N. Wareham, N. Butterworth, A. Riboli, E. Danesh, J.
- Abstract
Background: There is uncertainty about the relevance of animal foods to the pathogenesis of ischemic heart disease (IHD). We examined meat, fish, dairy products, and eggs and risk for IHD in the pan-European EPIC cohort (European Prospective Investigation Into Cancer and Nutrition). Methods: In this prospective study of 409 885 men and women in 9 European countries, diet was assessed with validated questionnaires and calibrated with 24-hour recalls. Lipids and blood pressure were measured in a subsample. During a mean of 12.6 years of follow-up, 7198 participants had a myocardial infarction or died of IHD. The relationships of animal foods with risk were examined with Cox regression with adjustment for other animal foods and relevant covariates. Results: The hazard ratio (HR) for IHD was 1.19 (95% CI, 1.06-1.33) for a 100-g/d increment in intake of red and processed meat, and this remained significant after exclusion of the first 4 years of follow-up (HR, 1.25 [95% CI, 1.09-1.42]). Risk was inversely associated with intakes of yogurt (HR, 0.93 [95% CI, 0.89-0.98] per 100-g/d increment), cheese (HR, 0.92 [95% CI, 0.86-0.98] per 30-g/d increment), and eggs (HR, 0.93 [95% CI, 0.88-0.99] per 20-g/d increment); the associations with yogurt and eggs were attenuated and nonsignificant after exclusion of the first 4 years of follow-up. Risk was not significantly associated with intakes of poultry, fish, or milk. In analyses modeling dietary substitutions, replacement of 100 kcal/d from red and processed meat with 100 kcal/d from fatty fish, yogurt, cheese, or eggs was associated with ≈20% lower risk of IHD. Consumption of red and processed meat was positively associated with serum non-high-density lipoprotein cholesterol concentration and systolic blood pressure, and consumption of cheese was inversely associated with serum non-high-density lipoprotein cholesterol. Conclusions: Risk for IHD was positively associated with consumption of red and processed meat and inversely associated with consumption of yogurt, cheese, and eggs, although the associations with yogurt and eggs may be influenced by reverse causation bias. It is not clear whether the associations with red and processed meat and cheese reflect causality, but they were consistent with the associations of these foods with plasma non-high-density lipoprotein cholesterol and for red and processed meat with systolic blood pressure, which could mediate such effects. © 2018 American Heart Association, Inc.
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- 2019
35. Discovery of common and rare genetic risk variants for colorectal cancer
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Huyghe, J.R. Bien, S.A. Harrison, T.A. Kang, H.M. Chen, S. Schmit, S.L. Conti, D.V. Qu, C. Jeon, J. Edlund, C.K. Greenside, P. Wainberg, M. Schumacher, F.R. Smith, J.D. Levine, D.M. Nelson, S.C. Sinnott-Armstrong, N.A. Albanes, D. Alonso, M.H. Anderson, K. Arnau-Collell, C. Arndt, V. Bamia, C. Banbury, B.L. Baron, J.A. Berndt, S.I. Bézieau, S. Bishop, D.T. Boehm, J. Boeing, H. Brenner, H. Brezina, S. Buch, S. Buchanan, D.D. Burnett-Hartman, A. Butterbach, K. Caan, B.J. Campbell, P.T. Carlson, C.S. Castellví-Bel, S. Chan, A.T. Chang-Claude, J. Chanock, S.J. Chirlaque, M.-D. Cho, S.H. Connolly, C.M. Cross, A.J. Cuk, K. Curtis, K.R. de la Chapelle, A. Doheny, K.F. Duggan, D. Easton, D.F. Elias, S.G. Elliott, F. English, D.R. Feskens, E.J.M. Figueiredo, J.C. Fischer, R. FitzGerald, L.M. Forman, D. Gala, M. Gallinger, S. Gauderman, W.J. Giles, G.G. Gillanders, E. Gong, J. Goodman, P.J. Grady, W.M. Grove, J.S. Gsur, A. Gunter, M.J. Haile, R.W. Hampe, J. Hampel, H. Harlid, S. Hayes, R.B. Hofer, P. Hoffmeister, M. Hopper, J.L. Hsu, W.-L. Huang, W.-Y. Hudson, T.J. Hunter, D.J. Ibañez-Sanz, G. Idos, G.E. Ingersoll, R. Jackson, R.D. Jacobs, E.J. Jenkins, M.A. Joshi, A.D. Joshu, C.E. Keku, T.O. Key, T.J. Kim, H.R. Kobayashi, E. Kolonel, L.N. Kooperberg, C. Kühn, T. Küry, S. Kweon, S.-S. Larsson, S.C. Laurie, C.A. Le Marchand, L. Leal, S.M. Lee, S.C. Lejbkowicz, F. Lemire, M. Li, C.I. Li, L. Lieb, W. Lin, Y. Lindblom, A. Lindor, N.M. Ling, H. Louie, T.L. Männistö, S. Markowitz, S.D. Martín, V. Masala, G. McNeil, C.E. Melas, M. Milne, R.L. Moreno, L. Murphy, N. Myte, R. Naccarati, A. Newcomb, P.A. Offit, K. Ogino, S. Onland-Moret, N.C. Pardini, B. Parfrey, P.S. Pearlman, R. Perduca, V. Pharoah, P.D.P. Pinchev, M. Platz, E.A. Prentice, R.L. Pugh, E. Raskin, L. Rennert, G. Rennert, H.S. Riboli, E. Rodríguez-Barranco, M. Romm, J. Sakoda, L.C. Schafmayer, C. Schoen, R.E. Seminara, D. Shah, M. Shelford, T. Shin, M.-H. Shulman, K. Sieri, S. Slattery, M.L. Southey, M.C. Stadler, Z.K. Stegmaier, C. Su, Y.-R. Tangen, C.M. Thibodeau, S.N. Thomas, D.C. Thomas, S.S. Toland, A.E. Trichopoulou, A. Ulrich, C.M. Van Den Berg, D.J. van Duijnhoven, F.J.B. Van Guelpen, B. van Kranen, H. Vijai, J. Visvanathan, K. Vodicka, P. Vodickova, L. Vymetalkova, V. Weigl, K. Weinstein, S.J. White, E. Win, A.K. Wolf, C.R. Wolk, A. Woods, M.O. Wu, A.H. Zaidi, S.H. Zanke, B.W. Zhang, Q. Zheng, W. Scacheri, P.C. Potter, J.D. Bassik, M.C. Kundaje, A. Casey, G. Moreno, V. Abecasis, G.R. Nickerson, D.A. Gruber, S.B. Hsu, L. Peters, U.
- Abstract
To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10 −8 , bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development. © 2018, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.
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- 2019
36. Circulating insulin-like growth factor I in relation to melanoma risk in the European prospective investigation into cancer and nutrition
- Author
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Bradbury, K.E. Appleby, P.N. Tipper, S.J. Travis, R.C. Allen, N.E. Kvaskoff, M. Overvad, K. Tjønneland, A. Halkjær, J. Cervenka, I. Mahamat-Saleh, Y. Bonnet, F. Kaaks, R. Fortner, R.T. Boeing, H. Trichopoulou, A. La Vecchia, C. Stratigos, A.J. Palli, D. Grioni, S. Matullo, G. Panico, S. Tumino, R. Peeters, P.H. Bueno-de-Mesquita, H.B. Ghiasvand, R. Veierød, M.B. Weiderpass, E. Bonet, C. Molina, E. Huerta, J.M. Larrañaga, N. Barricarte, A. Merino, S. Isaksson, K. Stocks, T. Ljuslinder, I. Hemmingsson, O. Wareham, N. Khaw, K.-T. Gunter, M.J. Rinaldi, S. Tsilidis, K.K. Aune, D. Riboli, E. Key, T.J.
- Abstract
Insulin-like growth factor-I (IGF-I) regulates cell proliferation and apoptosis, and is thought to play a role in tumour development. Previous prospective studies have shown that higher circulating concentrations of IGF-I are associated with a higher risk of cancers at specific sites, including breast and prostate. No prospective study has examined the association between circulating IGF-I concentrations and melanoma risk. A nested case–control study of 1,221 melanoma cases and 1,221 controls was performed in the European Prospective Investigation into Cancer and Nutrition cohort, a prospective cohort of 520,000 participants recruited from 10 European countries. Conditional logistic regression was used to estimate odds ratios (ORs) for incident melanoma in relation to circulating IGF-I concentrations, measured by immunoassay. Analyses were conditioned on the matching factors and further adjusted for age at blood collection, education, height, BMI, smoking status, alcohol intake, marital status, physical activity and in women only, use of menopausal hormone therapy. There was no significant association between circulating IGF-I concentration and melanoma risk (OR for highest vs lowest fifth = 0.93 [95% confidence interval [CI]: 0.71 to 1.22]). There was no significant heterogeneity in the association between IGF-I concentrations and melanoma risk when subdivided by gender, age at blood collection, BMI, height, age at diagnosis, time between blood collection and diagnosis, or by anatomical site or histological subtype of the tumour (Pheterogeneity≥0.078). We found no evidence for an association between circulating concentrations of IGF-I measured in adulthood and the risk of melanoma. © 2018 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.
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- 2019
37. DNA repair polymorphisms and cancer risk in non-smokers in a cohort study
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Matullo, G., Dunning, A.M., Guarrera, S., Baynes, C., Polidoro, S., Garte, S., Autrup, H., Malaveille, C., Peluso, M., Airoldi, L., Veglia, F., Gormally, E., Hoek, G., Krzyzanowski, M., Overvad, K., Raaschou-Nielsen, O., Clavel-Chapelon, F., Linseisen, J., Boeing, H., Trichopoulou, A., Palli, D., Krogh, V., Tumino, R., Panico, S., Bueno-De-Mesquita, H.B., Peeters, P.H., Lund, E., Pera, G., Martinez, C., Dorronsoro, M., Barricarte, A., Tormo, M.J., Quiros, J.R., Day, N.E., Key, T.J., Saracci, R., Kaaks, R., Riboli, E., and Vineis, P.
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- 2006
38. Correction to: Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci (Nature Genetics, (2018), 50, 7, (928-936), 10.1038/s41588-018-0142-8).
- Author
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Xu J., Tyrer J., Truong T., Koudou Y.A., Khaw K.-T., Cannon-Albright L., Pandha H., Michael A., Thibodeau S.N., McDonnell S.K., Schaid D.J., Lindstrom S., Turman C., Ma J., Hunter D.J., Riboli E., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Hoover R.N., Machiela M.J., Cui Z., Kraft P., Amos C.I., Conti D.V., Easton D.F., Wiklund F., Chanock S.J., Henderson B.E., Kote-Jarai Z., Haiman C.A., Eeles R.A., Schumacher F.R., Olama A.A.A., Berndt S.I., Benlloch S., Ahmed M., Saunders E.J., Dadaev T., Leongamornlert D., Anokian E., Cieza-Borrella C., Goh C., Brook M.N., Sheng X., Fachal L., Dennis J., Muir K., Lophatananon A., Stevens V.L., Gapstur S.M., Carter B.D., Tangen C.M., Goodman P.J., Thompson I.M., Batra J., Chambers S., Moya L., Clements J., Horvath L., Tilley W., Risbridger G.P., Gronberg H., Aly M., Nordstrom T., Pharoah P., Pashayan N., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Albanes D., Weinstein S., Wolk A., Hakansson N., West C.M.L., Dunning A.M., Burnet N., Mucci L.A., Giovannucci E., Andriole G.L., Cussenot O., Cancel-Tassin G., Koutros S., Beane Freeman L.E., Sorensen K.D., Orntoft T.F., Borre M., Maehle L., Grindedal E.M., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Travis R.C., Key T.J., Hamilton R.J., Fleshner N.E., Finelli A., Ingles S.A., Stern M.C., Rosenstein B.S., Kerns S.L., Ostrer H., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Guo X., Wang G., Sun Z., Giles G.G., Southey M.C., MacInnis R.J., FitzGerald L.M., Kibel A.S., Drake B.F., Vega A., Gomez-Caamano A., Szulkin R., Eklund M., Kogevinas M., Llorca J., Castano-Vinyals G., Penney K.L., Stampfer M., Park J.Y., Sellers T.A., Lin H.-Y., Stanford J.L., Cybulski C., Wokolorczyk D., Lubinski J., Ostrander E.A., Geybels M.S., Nordestgaard B.G., Nielsen S.F., Weischer M., Bisbjerg R., Roder M.A., Iversen P., Brenner H., Cuk K., Holleczek B., Maier C., Luedeke M., Schnoeller T., Kim J., Logothetis C.J., John E.M., Teixeira M.R., Paulo P., Cardoso M., Neuhausen S.L., Steele L., Ding Y.C., De Ruyck K., De Meerleer G., Ost P., Razack A., Lim J., Teo S.-H., Lin D.W., Newcomb L.F., Lessel D., Gamulin M., Kulis T., Kaneva R., Usmani N., Singhal S., Slavov C., Mitev V., Parliament M., Claessens F., Joniau S., Van den Broeck T., Larkin S., Townsend P.A., Aukim-Hastie C., Gago-Dominguez M., Castelao J.E., Martinez M.E., Roobol M.J., Jenster G., van Schaik R.H.N., Menegaux F., Xu J., Tyrer J., Truong T., Koudou Y.A., Khaw K.-T., Cannon-Albright L., Pandha H., Michael A., Thibodeau S.N., McDonnell S.K., Schaid D.J., Lindstrom S., Turman C., Ma J., Hunter D.J., Riboli E., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Hoover R.N., Machiela M.J., Cui Z., Kraft P., Amos C.I., Conti D.V., Easton D.F., Wiklund F., Chanock S.J., Henderson B.E., Kote-Jarai Z., Haiman C.A., Eeles R.A., Schumacher F.R., Olama A.A.A., Berndt S.I., Benlloch S., Ahmed M., Saunders E.J., Dadaev T., Leongamornlert D., Anokian E., Cieza-Borrella C., Goh C., Brook M.N., Sheng X., Fachal L., Dennis J., Muir K., Lophatananon A., Stevens V.L., Gapstur S.M., Carter B.D., Tangen C.M., Goodman P.J., Thompson I.M., Batra J., Chambers S., Moya L., Clements J., Horvath L., Tilley W., Risbridger G.P., Gronberg H., Aly M., Nordstrom T., Pharoah P., Pashayan N., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Albanes D., Weinstein S., Wolk A., Hakansson N., West C.M.L., Dunning A.M., Burnet N., Mucci L.A., Giovannucci E., Andriole G.L., Cussenot O., Cancel-Tassin G., Koutros S., Beane Freeman L.E., Sorensen K.D., Orntoft T.F., Borre M., Maehle L., Grindedal E.M., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Travis R.C., Key T.J., Hamilton R.J., Fleshner N.E., Finelli A., Ingles S.A., Stern M.C., Rosenstein B.S., Kerns S.L., Ostrer H., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Guo X., Wang G., Sun Z., Giles G.G., Southey M.C., MacInnis R.J., FitzGerald L.M., Kibel A.S., Drake B.F., Vega A., Gomez-Caamano A., Szulkin R., Eklund M., Kogevinas M., Llorca J., Castano-Vinyals G., Penney K.L., Stampfer M., Park J.Y., Sellers T.A., Lin H.-Y., Stanford J.L., Cybulski C., Wokolorczyk D., Lubinski J., Ostrander E.A., Geybels M.S., Nordestgaard B.G., Nielsen S.F., Weischer M., Bisbjerg R., Roder M.A., Iversen P., Brenner H., Cuk K., Holleczek B., Maier C., Luedeke M., Schnoeller T., Kim J., Logothetis C.J., John E.M., Teixeira M.R., Paulo P., Cardoso M., Neuhausen S.L., Steele L., Ding Y.C., De Ruyck K., De Meerleer G., Ost P., Razack A., Lim J., Teo S.-H., Lin D.W., Newcomb L.F., Lessel D., Gamulin M., Kulis T., Kaneva R., Usmani N., Singhal S., Slavov C., Mitev V., Parliament M., Claessens F., Joniau S., Van den Broeck T., Larkin S., Townsend P.A., Aukim-Hastie C., Gago-Dominguez M., Castelao J.E., Martinez M.E., Roobol M.J., Jenster G., van Schaik R.H.N., and Menegaux F.
- Abstract
In the version of this article initially published, the name of author Manuela Gago-Dominguez was misspelled as Manuela Gago Dominguez. The error has been corrected in the HTML and PDF version of the article.Copyright © 2018, The Author(s), under exclusive licence to Springer Nature America, Inc.
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- 2019
39. Germline variation at 8q24 and prostate cancer risk in men of European ancestry.
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Carter B.D., Kerns S., Ostrer H., Zhang H.-W., Cao G., Lin J., Li M., Feng N., Li J., He W., Guo X., Sun Z., Wang G., Guo J., Southey M.C., FitzGerald L.M., Marsden G., Gomez-Caamano A., Carballo A., Peleteiro P., Calvo P., Szulkin R., Llorca J., Dierssen-Sotos T., Gomez-Acebo I., Lin H.-Y., Ostrander E.A., Bisbjerg R., Klarskov P., Roder M.A., Iversen P., Holleczek B., Stegmaier C., Schnoeller T., Bohnert P., John E.M., Ost P., Teo S.-H., Gamulin M., Kulis T., Kastelan Z., Slavov C., Popov E., Van den Broeck T., Joniau S., Larkin S., Castelao J.E., Martinez M.E., van Schaik R.H.N., Xu J., Lindstrom S., Riboli E., Berry C., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Freedman M., Cenee S., Sanchez M., Wiklund F., Chanock S.J., Easton D.F., Eeles R.A., Kote-Jarai Z., Conti D.V., Haiman C.A., Hutchinson A., Ling J., Papargiris M., Matejcic M., Saunders E.J., Dadaev T., Brook M.N., Wang K., Sheng X., Olama A.A.A., Schumacher F.R., Ingles S.A., Govindasami K., Benlloch S., Berndt S.I., Albanes D., Koutros S., Muir K., Stevens V.L., Gapstur S.M., Tangen C.M., Batra J., Clements J., Gronberg H., Pashayan N., Schleutker J., Wolk A., West C., Mucci L., Kraft P., Cancel-Tassin G., Sorensen K.D., Maehle L., Grindedal E.M., Strom S.S., Neal D.E., Hamdy F.C., Donovan J.L., Travis R.C., Hamilton R.J., Rosenstein B., Lu Y.-J., Giles G.G., Kibel A.S., Vega A., Bensen J.T., Kogevinas M., Penney K.L., Park J.Y., Stanford J.L., Cybulski C., Nordestgaard B.G., Brenner H., Maier C., Kim J., Teixeira M.R., Neuhausen S.L., De Ruyck K., Razack A., Newcomb L.F., Lessel D., Kaneva R., Usmani N., Claessens F., Townsend P.A., Dominguez M.G., Roobol M.J., Menegaux F., Khaw K.-T., Cannon-Albright L.A., Pandha H., Thibodeau S.N., Schaid D.J., Henderson B.E., Stern M.C., Thwaites A., Guy M., Whitmore I., Morgan A., Fisher C., Hazel S., Livni N., Cook M., Fachal L., Weinstein S., Beane Freeman L.E., Hoover R.N., Machiela M.J., Lophatananon A., Goodman P., Moya L., Srinivasan S., Kedda M.-A., Yeadon T., Eckert A., Eklund M., Cavalli-Bjoerkman C., Dunning A.M., Sipeky C., Hakansson N., Elliott R., Ranu H., Giovannucci E., Turman C., Hunter D.J., Cussenot O., Orntoft T.F., Lane A., Lewis S.J., Davis M., Key T.J., Brown P., Kulkarni G.S., Zlotta A.R., Fleshner N.E., Finelli A., Mao X., Marzec J., MacInnis R.J., Milne R., Hopper J.L., Aguado M., Bustamante M., Castano-Vinyals G., Gracia-Lavedan E., Cecchini L., Stampfer M., Ma J., Sellers T.A., Geybels M.S., Park H., Zachariah B., Kolb S., Wokolorczyk D., Jan Lubinski, Kluzniak W., Nielsen S.F., Weisher M., Cuk K., Vogel W., Luedeke M., Logothetis C.J., Paulo P., Cardoso M., Maia S., Silva M.P., Steele L., Ding Y.C., De Meerleer G., De Langhe S., Thierens H., Lim J., Tan M.H., Ong A.T., Lin D.W., Kachakova D., Mitkova A., Mitev V., Parliament M., Jenster G., Bangma C., Schroder F.H., Truong T., Koudou Y.A., Michael A., Kierzek A., Karlsson A., Broms M., Wu H., Aukim-Hastie C., Tillmans L., Riska S., McDonnell S.K., Dearnaley D., Spurdle A., Gardiner R., Hayes V., Butler L., Taylor R., Saunders P., Kujala P., Talala K., Taari K., Bentzen S., Hicks B., Vogt A., Cox A., George A., Toi A., Evans A., van der Kwast T.H., Imai T., Saito S., Zhao S.-C., Ren G., Zhang Y., Yu Y., Wu Y., Wu J., Zhou B., Pedersen J., Lobato-Busto R., Ruiz-Dominguez J.M., Mengual L., Alcaraz A., Pow-Sang J., Herkommer K., Vlahova A., Dikov T., Christova S., Carracedo A., Tretarre B., Rebillard X., Mulot C., Jan Adolfsson, Stattin P., Johansson J.-E., Martin R.M., Thompson I.M., Chambers S., Aitken J., Horvath L., Haynes A.-M., Tilley W., Risbridger G., Aly M., Nordstrom T., Pharoah P., Tammela T.L.J., Murtola T., Auvinen A., Burnet N., Barnett G., Andriole G., Klim A., Drake B.F., Borre M., Carter B.D., Kerns S., Ostrer H., Zhang H.-W., Cao G., Lin J., Li M., Feng N., Li J., He W., Guo X., Sun Z., Wang G., Guo J., Southey M.C., FitzGerald L.M., Marsden G., Gomez-Caamano A., Carballo A., Peleteiro P., Calvo P., Szulkin R., Llorca J., Dierssen-Sotos T., Gomez-Acebo I., Lin H.-Y., Ostrander E.A., Bisbjerg R., Klarskov P., Roder M.A., Iversen P., Holleczek B., Stegmaier C., Schnoeller T., Bohnert P., John E.M., Ost P., Teo S.-H., Gamulin M., Kulis T., Kastelan Z., Slavov C., Popov E., Van den Broeck T., Joniau S., Larkin S., Castelao J.E., Martinez M.E., van Schaik R.H.N., Xu J., Lindstrom S., Riboli E., Berry C., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Freedman M., Cenee S., Sanchez M., Wiklund F., Chanock S.J., Easton D.F., Eeles R.A., Kote-Jarai Z., Conti D.V., Haiman C.A., Hutchinson A., Ling J., Papargiris M., Matejcic M., Saunders E.J., Dadaev T., Brook M.N., Wang K., Sheng X., Olama A.A.A., Schumacher F.R., Ingles S.A., Govindasami K., Benlloch S., Berndt S.I., Albanes D., Koutros S., Muir K., Stevens V.L., Gapstur S.M., Tangen C.M., Batra J., Clements J., Gronberg H., Pashayan N., Schleutker J., Wolk A., West C., Mucci L., Kraft P., Cancel-Tassin G., Sorensen K.D., Maehle L., Grindedal E.M., Strom S.S., Neal D.E., Hamdy F.C., Donovan J.L., Travis R.C., Hamilton R.J., Rosenstein B., Lu Y.-J., Giles G.G., Kibel A.S., Vega A., Bensen J.T., Kogevinas M., Penney K.L., Park J.Y., Stanford J.L., Cybulski C., Nordestgaard B.G., Brenner H., Maier C., Kim J., Teixeira M.R., Neuhausen S.L., De Ruyck K., Razack A., Newcomb L.F., Lessel D., Kaneva R., Usmani N., Claessens F., Townsend P.A., Dominguez M.G., Roobol M.J., Menegaux F., Khaw K.-T., Cannon-Albright L.A., Pandha H., Thibodeau S.N., Schaid D.J., Henderson B.E., Stern M.C., Thwaites A., Guy M., Whitmore I., Morgan A., Fisher C., Hazel S., Livni N., Cook M., Fachal L., Weinstein S., Beane Freeman L.E., Hoover R.N., Machiela M.J., Lophatananon A., Goodman P., Moya L., Srinivasan S., Kedda M.-A., Yeadon T., Eckert A., Eklund M., Cavalli-Bjoerkman C., Dunning A.M., Sipeky C., Hakansson N., Elliott R., Ranu H., Giovannucci E., Turman C., Hunter D.J., Cussenot O., Orntoft T.F., Lane A., Lewis S.J., Davis M., Key T.J., Brown P., Kulkarni G.S., Zlotta A.R., Fleshner N.E., Finelli A., Mao X., Marzec J., MacInnis R.J., Milne R., Hopper J.L., Aguado M., Bustamante M., Castano-Vinyals G., Gracia-Lavedan E., Cecchini L., Stampfer M., Ma J., Sellers T.A., Geybels M.S., Park H., Zachariah B., Kolb S., Wokolorczyk D., Jan Lubinski, Kluzniak W., Nielsen S.F., Weisher M., Cuk K., Vogel W., Luedeke M., Logothetis C.J., Paulo P., Cardoso M., Maia S., Silva M.P., Steele L., Ding Y.C., De Meerleer G., De Langhe S., Thierens H., Lim J., Tan M.H., Ong A.T., Lin D.W., Kachakova D., Mitkova A., Mitev V., Parliament M., Jenster G., Bangma C., Schroder F.H., Truong T., Koudou Y.A., Michael A., Kierzek A., Karlsson A., Broms M., Wu H., Aukim-Hastie C., Tillmans L., Riska S., McDonnell S.K., Dearnaley D., Spurdle A., Gardiner R., Hayes V., Butler L., Taylor R., Saunders P., Kujala P., Talala K., Taari K., Bentzen S., Hicks B., Vogt A., Cox A., George A., Toi A., Evans A., van der Kwast T.H., Imai T., Saito S., Zhao S.-C., Ren G., Zhang Y., Yu Y., Wu Y., Wu J., Zhou B., Pedersen J., Lobato-Busto R., Ruiz-Dominguez J.M., Mengual L., Alcaraz A., Pow-Sang J., Herkommer K., Vlahova A., Dikov T., Christova S., Carracedo A., Tretarre B., Rebillard X., Mulot C., Jan Adolfsson, Stattin P., Johansson J.-E., Martin R.M., Thompson I.M., Chambers S., Aitken J., Horvath L., Haynes A.-M., Tilley W., Risbridger G., Aly M., Nordstrom T., Pharoah P., Tammela T.L.J., Murtola T., Auvinen A., Burnet N., Barnett G., Andriole G., Klim A., Drake B.F., and Borre M.
- Abstract
Chromosome 8q24 is a susceptibility locus for multiple cancers, including prostate cancer. Here we combine genetic data across the 8q24 susceptibility region from 71,535 prostate cancer cases and 52,935 controls of European ancestry to define the overall contribution of germline variation at 8q24 to prostate cancer risk. We identify 12 independent risk signals for prostate cancer (p < 4.28 x 10-15), including three risk variants that have yet to be reported. From a polygenic risk score (PRS) model, derived to assess the cumulative effect of risk variants at 8q24, men in the top 1% of the PRS have a 4-fold (95%CI = 3.62-4.40) greater risk compared to the population average. These 12 variants account for ~25% of what can be currently explained of the familial risk of prostate cancer by known genetic risk factors. These findings highlight the overwhelming contribution of germline variation at 8q24 on prostate cancer risk which has implications for population risk stratification.Copyright © 2018, The Author(s).
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- 2019
40. Erratum to: Germline variation at 8q24 and prostate cancer risk in men of European ancestry (Nature Communications, (2018), 9, 1, (4616), 10.1038/s41467-018-06863-1).
- Author
-
Wang G., Lessel D., Kaneva R., Usmani N., Kastelan Z., Slavov C., Popov E., Van den Broeck T., Joniau S., Larkin S., Castelao J.E., Martinez M.E., van Schaik R.H.N., Xu J., Lindstrom S., Riboli E., Berry C., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Freedman M., Cenee S., Sanchez M., Wiklund F., Chanock S.J., Easton D.F., Eeles R.A., Kote-Jarai Z., Conti D.V., Haiman C.A., Hutchinson A., Ling J., Papargiris M., Matejcic M., Saunders E.J., Dadaev T., Brook M.N., Wang K., Sheng X., Olama A.A.A., Schumacher F.R., Ingles S.A., Govindasami K., Benlloch S., Berndt S.I., Albanes D., Koutros S., Muir K., Stevens V.L., Gapstur S.M., Tangen C.M., Batra J., Clements J., Gronberg H., Pashayan N., Schleutker J., Wolk A., West C., Mucci L., Kraft P., Cancel-Tassin G., Sorensen K.D., Maehle L., Grindedal E.M., Strom S.S., Neal D.E., Hamdy F.C., Donovan J.L., Travis R.C., Hamilton R.J., Rosenstein B., Lu Y.-J., Giles G.G., Kibel A.S., Vega A., Bensen J.T., Kogevinas M., Penney K.L., Park J.Y., Stanford J.L., Cybulski C., Nordestgaard B.G., Brenner H., Maier C., Kim J., Teixeira M.R., Neuhausen S.L., De Ruyck K., Razack A., Newcomb L.F., Claessens F., Townsend P.A., Gago-Dominguez M., Roobol M.J., Menegaux F., Khaw K.-T., Cannon-Albright L.A., Pandha H., Thibodeau S.N., Schaid D.J., Henderson B.E., Stern M.C., Thwaites A., Guy M., Whitmore I., Morgan A., Fisher C., Hazel S., Livni N., Cook M., Fachal L., Weinstein S., Beane Freeman L.E., Hoover R.N., Machiela M.J., Lophatananon A., Carter B.D., Goodman P., Moya L., Srinivasan S., Kedda M.-A., Yeadon T., Eckert A., Eklund M., Cavalli-Bjoerkman C., Dunning A.M., Sipeky C., Hakansson N., Elliott R., Ranu H., Giovannucci E., Turman C., Hunter D.J., Cussenot O., Orntoft T.F., Lane A., Lewis S.J., Davis M., Key T.J., Brown P., Kulkarni G.S., Zlotta A.R., Fleshner N.E., Finelli A., Mao X., Marzec J., MacInnis R.J., Milne R., Hopper J.L., Aguado M., Bustamante M., Castano-Vinyals G., Gracia-Lavedan E., Cecchini L., Stampfer M., Ma J., Sellers T.A., Geybels M.S., Park H., Zachariah B., Kolb S., Wokolorczyk D., Lubinski J., Kluzniak W., Nielsen S.F., Weisher M., Cuk K., Vogel W., Luedeke M., Logothetis C.J., Paulo P., Cardoso M., Maia S., Silva M.P., Steele L., Ding Y.C., De Meerleer G., De Langhe S., Thierens H., Lim J., Tan M.H., Ong A.T., Lin D.W., Kachakova D., Mitkova A., Mitev V., Parliament M., Jenster G., Bangma C., Schroder F.H., Truong T., Koudou Y.A., Michael A., Kierzek A., Karlsson A., Broms M., Wu H., Aukim-Hastie C., Tillmans L., Riska S., McDonnell S.K., Dearnaley D., Spurdle A., Gardiner R., Hayes V., Butler L., Taylor R., Saunders P., Kujala P., Talala K., Taari K., Bentzen S., Hicks B., Vogt A., Cox A., George A., Toi A., Evans A., van der Kwast T.H., Imai T., Saito S., Zhao S.-C., Ren G., Zhang Y., Yu Y., Wu Y., Wu J., Zhou B., Pedersen J., Lobato-Busto R., Ruiz-Dominguez J.M., Mengual L., Alcaraz A., Pow-Sang J., Herkommer K., Vlahova A., Dikov T., Christova S., Carracedo A., Tretarre B., Rebillard X., Mulot C., Adolfsson J., Stattin P., Johansson J.-E., Martin R.M., Thompson I.M., Chambers S., Aitken J., Horvath L., Haynes A.-M., Tilley W., Risbridger G., Aly M., Nordstrom T., Pharoah P., Tammela T.L.J., Murtola T., Auvinen A., Burnet N., Barnett G., Andriole G., Klim A., Drake B.F., Borre M., Kerns S., Ostrer H., Zhang H.-W., Cao G., Lin J., Li M., Feng N., Li J., He W., Guo X., Sun Z., Guo J., Southey M.C., FitzGerald L.M., Marsden G., Gomez-Caamano A., Carballo A., Peleteiro P., Calvo P., Szulkin R., Llorca J., Dierssen-Sotos T., Gomez-Acebo I., Lin H.-Y., Ostrander E.A., Bisbjerg R., Klarskov P., Roder M.A., Iversen P., Holleczek B., Stegmaier C., Schnoeller T., Bohnert P., John E.M., Ost P., Teo S.-H., Gamulin M., Kulis T., Wang G., Lessel D., Kaneva R., Usmani N., Kastelan Z., Slavov C., Popov E., Van den Broeck T., Joniau S., Larkin S., Castelao J.E., Martinez M.E., van Schaik R.H.N., Xu J., Lindstrom S., Riboli E., Berry C., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Freedman M., Cenee S., Sanchez M., Wiklund F., Chanock S.J., Easton D.F., Eeles R.A., Kote-Jarai Z., Conti D.V., Haiman C.A., Hutchinson A., Ling J., Papargiris M., Matejcic M., Saunders E.J., Dadaev T., Brook M.N., Wang K., Sheng X., Olama A.A.A., Schumacher F.R., Ingles S.A., Govindasami K., Benlloch S., Berndt S.I., Albanes D., Koutros S., Muir K., Stevens V.L., Gapstur S.M., Tangen C.M., Batra J., Clements J., Gronberg H., Pashayan N., Schleutker J., Wolk A., West C., Mucci L., Kraft P., Cancel-Tassin G., Sorensen K.D., Maehle L., Grindedal E.M., Strom S.S., Neal D.E., Hamdy F.C., Donovan J.L., Travis R.C., Hamilton R.J., Rosenstein B., Lu Y.-J., Giles G.G., Kibel A.S., Vega A., Bensen J.T., Kogevinas M., Penney K.L., Park J.Y., Stanford J.L., Cybulski C., Nordestgaard B.G., Brenner H., Maier C., Kim J., Teixeira M.R., Neuhausen S.L., De Ruyck K., Razack A., Newcomb L.F., Claessens F., Townsend P.A., Gago-Dominguez M., Roobol M.J., Menegaux F., Khaw K.-T., Cannon-Albright L.A., Pandha H., Thibodeau S.N., Schaid D.J., Henderson B.E., Stern M.C., Thwaites A., Guy M., Whitmore I., Morgan A., Fisher C., Hazel S., Livni N., Cook M., Fachal L., Weinstein S., Beane Freeman L.E., Hoover R.N., Machiela M.J., Lophatananon A., Carter B.D., Goodman P., Moya L., Srinivasan S., Kedda M.-A., Yeadon T., Eckert A., Eklund M., Cavalli-Bjoerkman C., Dunning A.M., Sipeky C., Hakansson N., Elliott R., Ranu H., Giovannucci E., Turman C., Hunter D.J., Cussenot O., Orntoft T.F., Lane A., Lewis S.J., Davis M., Key T.J., Brown P., Kulkarni G.S., Zlotta A.R., Fleshner N.E., Finelli A., Mao X., Marzec J., MacInnis R.J., Milne R., Hopper J.L., Aguado M., Bustamante M., Castano-Vinyals G., Gracia-Lavedan E., Cecchini L., Stampfer M., Ma J., Sellers T.A., Geybels M.S., Park H., Zachariah B., Kolb S., Wokolorczyk D., Lubinski J., Kluzniak W., Nielsen S.F., Weisher M., Cuk K., Vogel W., Luedeke M., Logothetis C.J., Paulo P., Cardoso M., Maia S., Silva M.P., Steele L., Ding Y.C., De Meerleer G., De Langhe S., Thierens H., Lim J., Tan M.H., Ong A.T., Lin D.W., Kachakova D., Mitkova A., Mitev V., Parliament M., Jenster G., Bangma C., Schroder F.H., Truong T., Koudou Y.A., Michael A., Kierzek A., Karlsson A., Broms M., Wu H., Aukim-Hastie C., Tillmans L., Riska S., McDonnell S.K., Dearnaley D., Spurdle A., Gardiner R., Hayes V., Butler L., Taylor R., Saunders P., Kujala P., Talala K., Taari K., Bentzen S., Hicks B., Vogt A., Cox A., George A., Toi A., Evans A., van der Kwast T.H., Imai T., Saito S., Zhao S.-C., Ren G., Zhang Y., Yu Y., Wu Y., Wu J., Zhou B., Pedersen J., Lobato-Busto R., Ruiz-Dominguez J.M., Mengual L., Alcaraz A., Pow-Sang J., Herkommer K., Vlahova A., Dikov T., Christova S., Carracedo A., Tretarre B., Rebillard X., Mulot C., Adolfsson J., Stattin P., Johansson J.-E., Martin R.M., Thompson I.M., Chambers S., Aitken J., Horvath L., Haynes A.-M., Tilley W., Risbridger G., Aly M., Nordstrom T., Pharoah P., Tammela T.L.J., Murtola T., Auvinen A., Burnet N., Barnett G., Andriole G., Klim A., Drake B.F., Borre M., Kerns S., Ostrer H., Zhang H.-W., Cao G., Lin J., Li M., Feng N., Li J., He W., Guo X., Sun Z., Guo J., Southey M.C., FitzGerald L.M., Marsden G., Gomez-Caamano A., Carballo A., Peleteiro P., Calvo P., Szulkin R., Llorca J., Dierssen-Sotos T., Gomez-Acebo I., Lin H.-Y., Ostrander E.A., Bisbjerg R., Klarskov P., Roder M.A., Iversen P., Holleczek B., Stegmaier C., Schnoeller T., Bohnert P., John E.M., Ost P., Teo S.-H., Gamulin M., and Kulis T.
- Abstract
The original version of this Article contained an error in the spelling of the author Manuela Gago-Dominguez, which was incorrectly given as Manuela G. Dominguez. This has now been corrected in both the PDF and HTML versions of the Article.Copyright © 2019, The Author(s).
- Published
- 2019
41. Author Correction: Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci (Nature Genetics, (2018), 50, 7, (928-936), 10.1038/s41588-018-0142-8).
- Author
-
Truong T., Khaw K.-T., Cannon-Albright L., Pandha H., Michael A., Thibodeau S.N., McDonnell S.K., Schaid D.J., Lindstrom S., Turman C., Ma J., Hunter D.J., Riboli E., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Hoover R.N., Machiela M.J., Cui Z., Kraft P., Amos C.I., Conti D.V., Easton D.F., Wiklund F., Chanock S.J., Henderson B.E., Kote-Jarai Z., Haiman C.A., Eeles R.A., Schumacher F.R., Olama A.A.A., Berndt S.I., Benlloch S., Ahmed M., Saunders E.J., Dadaev T., Leongamornlert D., Anokian E., Cieza-Borrella C., Goh C., Brook M.N., Sheng X., Fachal L., Dennis J., Tyrer J., Muir K., Lophatananon A., Stevens V.L., Gapstur S.M., Carter B.D., Tangen C.M., Goodman P.J., Thompson I.M., Batra J., Chambers S., Moya L., Clements J., Horvath L., Tilley W., Risbridger G.P., Gronberg H., Aly M., Nordstrom T., Pharoah P., Pashayan N., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Albanes D., Weinstein S., Wolk A., Hakansson N., West C.M.L., Dunning A.M., Burnet N., Mucci L.A., Giovannucci E., Andriole G.L., Cussenot O., Cancel-Tassin G., Koutros S., Beane Freeman L.E., Sorensen K.D., Orntoft T.F., Borre M., Maehle L., Grindedal E.M., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Travis R.C., Key T.J., Hamilton R.J., Fleshner N.E., Finelli A., Ingles S.A., Stern M.C., Rosenstein B.S., Kerns S.L., Ostrer H., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Guo X., Wang G., Sun Z., Giles G.G., Southey M.C., MacInnis R.J., FitzGerald L.M., Kibel A.S., Drake B.F., Vega A., Gomez-Caamano A., Szulkin R., Eklund M., Kogevinas M., Llorca J., Castano-Vinyals G., Penney K.L., Stampfer M., Park J.Y., Sellers T.A., Lin H.-Y., Stanford J.L., Cybulski C., Wokolorczyk D., Lubinski J., Ostrander E.A., Geybels M.S., Nordestgaard B.G., Nielsen S.F., Weischer M., Bisbjerg R., Roder M.A., Iversen P., Brenner H., Cuk K., Holleczek B., Maier C., Luedeke M., Schnoeller T., Kim J., Logothetis C.J., John E.M., Teixeira M.R., Paulo P., Cardoso M., Neuhausen S.L., Steele L., Ding Y.C., De Ruyck K., De Meerleer G., Ost P., Razack A., Lim J., Teo S.-H., Lin D.W., Newcomb L.F., Lessel D., Gamulin M., Kulis T., Kaneva R., Usmani N., Singhal S., Slavov C., Mitev V., Parliament M., Claessens F., Joniau S., Van den Broeck T., Larkin S., Townsend P.A., Aukim-Hastie C., Gago-Dominguez M., Castelao J.E., Martinez M.E., Roobol M.J., Jenster G., van Schaik R.H.N., Menegaux F., Koudou Y.A., Xu J., Truong T., Khaw K.-T., Cannon-Albright L., Pandha H., Michael A., Thibodeau S.N., McDonnell S.K., Schaid D.J., Lindstrom S., Turman C., Ma J., Hunter D.J., Riboli E., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Hoover R.N., Machiela M.J., Cui Z., Kraft P., Amos C.I., Conti D.V., Easton D.F., Wiklund F., Chanock S.J., Henderson B.E., Kote-Jarai Z., Haiman C.A., Eeles R.A., Schumacher F.R., Olama A.A.A., Berndt S.I., Benlloch S., Ahmed M., Saunders E.J., Dadaev T., Leongamornlert D., Anokian E., Cieza-Borrella C., Goh C., Brook M.N., Sheng X., Fachal L., Dennis J., Tyrer J., Muir K., Lophatananon A., Stevens V.L., Gapstur S.M., Carter B.D., Tangen C.M., Goodman P.J., Thompson I.M., Batra J., Chambers S., Moya L., Clements J., Horvath L., Tilley W., Risbridger G.P., Gronberg H., Aly M., Nordstrom T., Pharoah P., Pashayan N., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Albanes D., Weinstein S., Wolk A., Hakansson N., West C.M.L., Dunning A.M., Burnet N., Mucci L.A., Giovannucci E., Andriole G.L., Cussenot O., Cancel-Tassin G., Koutros S., Beane Freeman L.E., Sorensen K.D., Orntoft T.F., Borre M., Maehle L., Grindedal E.M., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Travis R.C., Key T.J., Hamilton R.J., Fleshner N.E., Finelli A., Ingles S.A., Stern M.C., Rosenstein B.S., Kerns S.L., Ostrer H., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Guo X., Wang G., Sun Z., Giles G.G., Southey M.C., MacInnis R.J., FitzGerald L.M., Kibel A.S., Drake B.F., Vega A., Gomez-Caamano A., Szulkin R., Eklund M., Kogevinas M., Llorca J., Castano-Vinyals G., Penney K.L., Stampfer M., Park J.Y., Sellers T.A., Lin H.-Y., Stanford J.L., Cybulski C., Wokolorczyk D., Lubinski J., Ostrander E.A., Geybels M.S., Nordestgaard B.G., Nielsen S.F., Weischer M., Bisbjerg R., Roder M.A., Iversen P., Brenner H., Cuk K., Holleczek B., Maier C., Luedeke M., Schnoeller T., Kim J., Logothetis C.J., John E.M., Teixeira M.R., Paulo P., Cardoso M., Neuhausen S.L., Steele L., Ding Y.C., De Ruyck K., De Meerleer G., Ost P., Razack A., Lim J., Teo S.-H., Lin D.W., Newcomb L.F., Lessel D., Gamulin M., Kulis T., Kaneva R., Usmani N., Singhal S., Slavov C., Mitev V., Parliament M., Claessens F., Joniau S., Van den Broeck T., Larkin S., Townsend P.A., Aukim-Hastie C., Gago-Dominguez M., Castelao J.E., Martinez M.E., Roobol M.J., Jenster G., van Schaik R.H.N., Menegaux F., Koudou Y.A., and Xu J.
- Abstract
In the version of this article initially published, the name of author Manuela Gago-Dominguez was misspelled as Manuela Gago Dominguez. The error has been corrected in the HTML and PDF version of the article.Copyright © 2018, The Author(s), under exclusive licence to Springer Nature America, Inc.
- Published
- 2019
42. Relation between body mass index and mortality in an unusually slim cohort. (Research Report)
- Author
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Thorogood, M., Appleby, P.N., Key, T.J., and Mann, J.
- Subjects
Mortality -- Physiological aspects -- Research -- United Kingdom ,Epidemiology -- Reports -- Physiological aspects -- Health aspects -- Research ,Body mass index -- Health aspects -- Research -- Reports -- Physiological aspects ,Vegetarians -- Health aspects -- Reports -- Research -- Physiological aspects ,Food habits -- Health aspects -- Reports -- Physiological aspects -- Research ,Health ,Social sciences ,Physiological aspects ,Research ,Reports ,Health aspects - Abstract
J Epidemiol Community Health 2003;57:130-133 Study objective: To investigate the relation between body mass index and mortality in an unusually slim cohort. Design: Prospective cohort study. Setting: United Kingdom. Participants: [...]
- Published
- 2003
43. Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts 11 Medical and Health Sciences 1117 Public Health and Health Services
- Author
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Li, K. Anderson, G. Viallon, V. Arveux, P. Kvaskoff, M. Fournier, A. Krogh, V. Tumino, R. Sánchez, M.-J. Ardanaz, E. Chirlaque, M.-D. Agudo, A. Muller, D.C. Smith, T. Tzoulaki, I. Key, T.J. Bueno-De-Mesquita, B. Trichopoulou, A. Bamia, C. Orfanos, P. Kaaks, R. Hüsing, A. Fortner, R.T. Zeleniuch-Jacquotte, A. Sund, M. Dahm, C.C. Overvad, K. Aune, D. Weiderpass, E. Romieu, I. Riboli, E. Gunter, M.J. Dossus, L. Prentice, R. Ferrari, P.
- Abstract
Background: Few published breast cancer (BC) risk prediction models consider the heterogeneity of predictor variables between estrogen-receptor positive (ER+) and negative (ER-) tumors. Using data from two large cohorts, we examined whether modeling this heterogeneity could improve prediction. Methods: We built two models, for ER+ (ModelER+) and ER- tumors (ModelER-), respectively, in 281,330 women (51% postmenopausal at recruitment) from the European Prospective Investigation into Cancer and Nutrition cohort. Discrimination (C-statistic) and calibration (the agreement between predicted and observed tumor risks) were assessed both internally and externally in 82,319 postmenopausal women from the Women's Health Initiative study. We performed decision curve analysis to compare ModelER+ and the Gail model (ModelGail) regarding their applicability in risk assessment for chemoprevention. Results: Parity, number of full-term pregnancies, age at first full-term pregnancy and body height were only associated with ER+ tumors. Menopausal status, age at menarche and at menopause, hormone replacement therapy, postmenopausal body mass index, and alcohol intake were homogeneously associated with ER+ and ER- tumors. Internal validation yielded a C-statistic of 0.64 for ModelER+ and 0.59 for ModelER-. External validation reduced the C-statistic of ModelER+ (0.59) and ModelGail (0.57). In external evaluation of calibration, ModelER+ outperformed the ModelGail: the former led to a 9% overestimation of the risk of ER+ tumors, while the latter yielded a 22% underestimation of the overall BC risk. Compared with the treat-all strategy, ModelER+ produced equal or higher net benefits irrespective of the benefit-to-harm ratio of chemoprevention, while ModelGail did not produce higher net benefits unless the benefit-to-harm ratio was below 50. The clinical applicability, i.e. the area defined by the net benefit curve and the treat-all and treat-none strategies, was 12.7 × 10- 6 for ModelER+ and 3.0 × 10- 6 for ModelGail. Conclusions: Modeling heterogeneous epidemiological risk factors might yield little improvement in BC risk prediction. Nevertheless, a model specifically predictive of ER+ tumor risk could be more applicable than an omnibus model in risk assessment for chemoprevention. © 2018 The Author(s).
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- 2018
44. KIM-1 as a blood-based marker for early detection of kidney cancer: A prospective nested case–control study
- Author
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Scelo, G. Muller, D.C. Riboli, E. Johansson, M. Cross, A.J. Vineis, P. Tsilidis, K.K. Brennan, P. Boeing, H. Peeters, P.H.M. Vermeulen, R.C.H. Overvad, K. Bas Bueno-de-Mesquita, H. Severi, G. Perduca, V. Kvaskoff, M. Trichopoulou, A. Vecchia, C.L. Karakatsani, A. Palli, D. Sieri, S. Panico, S. Weiderpass, E. Sandanger, T.M. Nøst, T.H. Agudo, A. Ramon Quiros, J. Rodríguez-Barranco, M. Chirlaque, M.-D. Key, T.J. Khanna, P. Bonventre, J.V. Sabbisetti, V.S. Bhatt, R.S.
- Abstract
Purpose: Renal cell carcinoma (RCC) has the potential for cure with surgery when diagnosed at an early stage. Kidney injury molecule-1 (KIM-1) has been shown to be elevated in the plasma of RCC patients. We aimed to test whether plasma KIM-1 could represent a means of detecting RCC prior to clinical diagnosis. Experimental Design: KIM-1 concentrations were measured in prediagnostic plasma from 190 RCC cases and 190 controls nested within a population-based prospective cohort study. Cases had entered the cohort up to 5 years before diagnosis, and controls were matched on cases for date of birth, date at blood donation, sex, and country. We applied conditional logistic regression and flexible parametric survival models to evaluate the association between plasma KIM-1 concentrations and RCC risk and survival. Results: The incidence rate ratio (IRR) of RCC for a doubling in KIM-1 concentration was 1.71 [95% confidence interval (CI), 1.44–2.03, P ¼ 4.1 1023], corresponding to an IRR of 63.3 (95% CI, 16.2–246.9) comparing the 80th to the 20th percentiles of the KIM-1 distribution in this sample. Compared with a risk model including known risk factors of RCC (age, sex, country, body mass index, and tobacco smoking status), a risk model additionally including KIM-1 substantially improved discrimination between cases and controls (area under the receiver-operating characteristic curve of 0.8 compared with 0.7). High plasma KIM-1 concentrations were also associated with poorer survival (P ¼ 0.0053). Conclusions: Plasma KIM-1 concentrations could predict RCC incidence up to 5 years prior to diagnosis and were associated with poorer survival. © 2018 American Association for Cancer Research.
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- 2018
45. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies
- Author
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Wood, A.M. Kaptoge, S. Butterworth, A.S. Willeit, P. Warnakula, S. Bolton, T. Paige, E. Paul, D.S. Sweeting, M. Burgess, S. Bell, S. Astle, W. Stevens, D. Koulman, A. Selmer, R.M. Verschuren, W.M.M. Sato, S. Njølstad, I. Woodward, M. Salomaa, V. Nordestgaard, B.G. Yeap, B.B. Fletcher, A. Melander, O. Kuller, L.H. Balkau, B. Marmot, M. Koenig, W. Casiglia, E. Cooper, C. Arndt, V. Franco, O.H. Wennberg, P. Gallacher, J. de la Cámara, A.G. Völzke, H. Dahm, C.C. Dale, C.E. Bergmann, M.M. Crespo, C.J. van der Schouw, Y.T. Kaaks, R. Simons, L.A. Lagiou, P. Schoufour, J.D. Boer, J.M.A. Key, T.J. Rodriguez, B. Moreno-Iribas, C. Davidson, K.W. Taylor, J.O. Sacerdote, C. Wallace, R.B. Quiros, J.R. Tumino, R. Blazer, D.G., II Linneberg, A. Daimon, M. Panico, S. Howard, B. Skeie, G. Strandberg, T. Weiderpass, E. Psaty, B.M. Kromhout, D. Salamanca-Fernandez, E. Kiechl, S. Krumholz, H.M. Grioni, S. Palli, D. Huerta, J.M. Price, J. Sundström, J. Arriola, L. Arima, H. Travis, R.C. Panagiotakos, D.B. Karakatsani, A. Trichopoulou, A. Kühn, T. Grobbee, D.E. Barrett-Connor, E. van Schoor, N. Boeing, H. Overvad, K. Kauhanen, J. Wareham, N. Langenberg, C. Forouhi, N. Wennberg, M. Després, J.-P. Cushman, M. Cooper, J.A. Rodriguez, C.J. Sakurai, M. Shaw, J.E. Knuiman, M. Voortman, T. Meisinger, C. Tjønneland, A. Brenner, H. Palmieri, L. Dallongeville, J. Brunner, E.J. Assmann, G. Trevisan, M. Gillum, R.F. Ford, I.F. Sattar, N. Lazo, M. Thompson, S.G. Ferrari, P. Leon, D.A. Davey Smith, G. Peto, R. Jackson, R. Banks, E. Di Angelantonio, E. Danesh, J. Veikko, S. Gómez de la Cámara, A. Rimm, E.B. Dallongeville, J.-P. Gillumn, R.F. Thompson, S. Emerging Risk Factors Collaboration/EPIC-CVD/UK Biobank Alcohol Study Group
- Abstract
Background: Low-risk limits recommended for alcohol consumption vary substantially across different national guidelines. To define thresholds associated with lowest risk for all-cause mortality and cardiovascular disease, we studied individual-participant data from 599 912 current drinkers without previous cardiovascular disease. Methods: We did a combined analysis of individual-participant data from three large-scale data sources in 19 high-income countries (the Emerging Risk Factors Collaboration, EPIC-CVD, and the UK Biobank). We characterised dose–response associations and calculated hazard ratios (HRs) per 100 g per week of alcohol (12·5 units per week) across 83 prospective studies, adjusting at least for study or centre, age, sex, smoking, and diabetes. To be eligible for the analysis, participants had to have information recorded about their alcohol consumption amount and status (ie, non-drinker vs current drinker), plus age, sex, history of diabetes and smoking status, at least 1 year of follow-up after baseline, and no baseline history of cardiovascular disease. The main analyses focused on current drinkers, whose baseline alcohol consumption was categorised into eight predefined groups according to the amount in grams consumed per week. We assessed alcohol consumption in relation to all-cause mortality, total cardiovascular disease, and several cardiovascular disease subtypes. We corrected HRs for estimated long-term variability in alcohol consumption using 152 640 serial alcohol assessments obtained some years apart (median interval 5·6 years [5th–95th percentile 1·04–13·5]) from 71 011 participants from 37 studies. Findings: In the 599 912 current drinkers included in the analysis, we recorded 40 310 deaths and 39 018 incident cardiovascular disease events during 5·4 million person-years of follow-up. For all-cause mortality, we recorded a positive and curvilinear association with the level of alcohol consumption, with the minimum mortality risk around or below 100 g per week. Alcohol consumption was roughly linearly associated with a higher risk of stroke (HR per 100 g per week higher consumption 1·14, 95% CI, 1·10–1·17), coronary disease excluding myocardial infarction (1·06, 1·00–1·11), heart failure (1·09, 1·03–1·15), fatal hypertensive disease (1·24, 1·15–1·33); and fatal aortic aneurysm (1·15, 1·03–1·28). By contrast, increased alcohol consumption was log-linearly associated with a lower risk of myocardial infarction (HR 0·94, 0·91–0·97). In comparison to those who reported drinking >0–≤100 g per week, those who reported drinking >100–≤200 g per week, >200–≤350 g per week, or >350 g per week had lower life expectancy at age 40 years of approximately 6 months, 1–2 years, or 4–5 years, respectively. Interpretation: In current drinkers of alcohol in high-income countries, the threshold for lowest risk of all-cause mortality was about 100 g/week. For cardiovascular disease subtypes other than myocardial infarction, there were no clear risk thresholds below which lower alcohol consumption stopped being associated with lower disease risk. These data support limits for alcohol consumption that are lower than those recommended in most current guidelines. Funding: UK Medical Research Council, British Heart Foundation, National Institute for Health Research, European Union Framework 7, and European Research Council. © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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- 2018
46. Do pancreatic cancer and chronic pancreatitis share the same genetic risk factors? A PANcreatic Disease ReseArch (PANDoRA) consortium investigation
- Author
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Campa, D. Pastore, M. Capurso, G. Hackert, T. Di Leo, M. Izbicki, J.R. Khaw, K.-T. Gioffreda, D. Kupcinskas, J. Pasquali, C. Macinga, P. Kaaks, R. Stigliano, S. Peeters, P.H. Key, T.J. Talar-Wojnarowska, R. Vodicka, P. Valente, R. Vashist, Y.K. Salvia, R. Papaconstantinou, I. Shimizu, Y. Valsuani, C. Zambon, C.F. Gazouli, M. Valantiene, I. Niesen, W. Mohelnikova-Duchonova, B. Hara, K. Soucek, P. Malecka-Panas, E. Bueno-de-Mesquita, H.B. Johnson, T. Brenner, H. Tavano, F. Fogar, P. Ito, H. Sperti, C. Butterbach, K. Latiano, A. Andriulli, A. Cavestro, G.M. Busch, O.R.C. Dijk, F. Greenhalf, W. Matsuo, K. Lombardo, C. Strobel, O. König, A.-K. Cuk, K. Strothmann, H. Katzke, V. Cantore, M. Mambrini, A. Oliverius, M. Pezzilli, R. Landi, S. Canzian, F.
- Subjects
endocrine system diseases ,digestive system diseases - Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a very aggressive tumor with a five-year survival of less than 6%. Chronic pancreatitis (CP), an inflammatory process in of the pancreas, is a strong risk factor for PDAC. Several genetic polymorphisms have been discovered as susceptibility loci for both CP and PDAC. Since CP and PDAC share a consistent number of epidemiologic risk factors, the aim of this study was to investigate whether specific CP risk loci also contribute to PDAC susceptibility. We selected five common SNPs (rs11988997, rs379742, rs10273639, rs2995271 and rs12688220) that were identified as susceptibility markers for CP and analyzed them in 2,914 PDAC cases, 356 CP cases and 5,596 controls retrospectively collected in the context of the international PANDoRA consortium. We found a weak association between the minor allele of the PRSS1-PRSS2-rs10273639 and an increased risk of developing PDAC (ORhomozygous = 1.19, 95% CI 1.02–1.38, p = 0.023). Additionally all the SNPs confirmed statistically significant associations with risk of developing CP, the strongest being PRSS1-PRSS2-rs10273639 (ORheterozygous = 0.51, 95% CI 0.39–0.67, p = 1.10 × 10−6) and MORC4-rs 12837024 (ORhomozygous = 2.07 (1.55–2.77, ptrend = 0.7 × 10−11). Taken together, the results from our study do not support variants rs11988997, rs379742, rs10273639, rs2995271 and rs12688220 as strong predictors of PDAC risk, but further support the role of these SNPs in CP susceptibility. Our study suggests that CP and PDAC probably do not share genetic susceptibility, at least in terms of high frequency variants. © 2017 UICC
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- 2018
47. Vegetarian diets and risk of diabetes in British adults: results from the EPIC-Oxford study
- Author
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Papier, K., primary, Appleby, P. N., additional, Fensom, G.K., additional, Knuppel, A., additional, Perez-Cornago, A., additional, Schmidt, J.A., additional, Tong, T.Y.N., additional, and Key, T.J., additional
- Published
- 2019
- Full Text
- View/download PDF
48. Haematological parameters and anaemia in white and British Indian meat-eaters and vegetarians in UK Biobank
- Author
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Tong, T.Y.N., primary, Key, T.J., additional, Gaitskell, K., additional, Green, T.J., additional, Guo, W., additional, Sanders, T.A., additional, and Bradbury, K.E., additional
- Published
- 2019
- Full Text
- View/download PDF
49. Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci.
- Author
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Grindedal E.M., Maier C., Luedeke M., Schnoeller T., Kim J., Logothetis C.J., John E.M., Teixeira M.R., Paulo P., Cardoso M., Neuhausen S.L., Steele L., Ding Y.C., De Ruyck K., De Meerleer G., Ost P., Razack A., Lim J., Teo S.-H., Lin D.W., Newcomb L.F., Lessel D., Gamulin M., Kulis T., Kaneva R., Usmani N., Singhal S., Slavov C., Mitev V., Parliament M., Claessens F., Joniau S., Van Den Broeck T., Larkin S., Townsend P.A., Aukim-Hastie C., Dominguez M.G., Castelao J.E., Martinez M.E., Roobol M.J., Jenster G., Van Schaik R.H.N., Menegaux F., Truong T., Koudou Y.A., Xu J., Khaw K.-T., Cannon-Albright L., Pandha H., Michael A., Thibodeau S.N., McDonnell S.K., Schaid D.J., Lindstrom S., Turman C., Ma J., Hunter D.J., Riboli E., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Hoover R.N., Machiela M.J., Cui Z., Kraft P., Amos C.I., Conti D.V., Easton D.F., Wiklund F., Chanock S.J., Henderson B.E., Kote-Jarai Z., Haiman C.A., Eeles R.A., Schumacher F.R., Al Olama A.A., Berndt S.I., Benlloch S., Ahmed M., Saunders E.J., Dadaev T., Leongamornlert D., Anokian E., Cieza-Borrella C., Goh C., Brook M.N., Sheng X., Fachal L., Dennis J., Tyrer J., Muir K., Lophatananon A., Stevens V.L., Gapstur S.M., Carter B.D., Tangen C.M., Goodman P.J., Thompson I.M., Batra J., Chambers S., Moya L., Clements J., Horvath L., Tilley W., Risbridger G.P., Gronberg H., Aly M., Nordstrom T., Pharoah P., Pashayan N., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Albanes D., Weinstein S., Wolk A., Hakansson N., West C.M.L., Dunning A.M., Burnet N., Mucci L.A., Giovannucci E., Andriole G.L., Cussenot O., Cancel-Tassin G., Koutros S., Beane Freeman L.E., Sorensen K.D., Orntoft T.F., Borre M., Maehle L., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Travis R.C., Key T.J., Hamilton R.J., Fleshner N.E., Finelli A., Ingles S.A., Stern M.C., Rosenstein B.S., Kerns S.L., Ostrer H., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Guo X., Wang G., Sun Z., Giles G.G., Southey M.C., MacInnis R.J., Fitzgerald L.M., Kibel A.S., Drake B.F., Vega A., Gomez-Caamano A., Szulkin R., Eklund M., Kogevinas M., Llorca J., Castano-Vinyals G., Penney K.L., Stampfer M., Park J.Y., Sellers T.A., Lin H.-Y., Stanford J.L., Cybulski C., Wokolorczyk D., Lubinski J., Ostrander E.A., Geybels M.S., Nordestgaard Bo.G., Nielsen S.F., Weischer M., Bisbjerg R., Roder M.A., Iversen P., Brenner H., Cuk K., Holleczek B., Grindedal E.M., Maier C., Luedeke M., Schnoeller T., Kim J., Logothetis C.J., John E.M., Teixeira M.R., Paulo P., Cardoso M., Neuhausen S.L., Steele L., Ding Y.C., De Ruyck K., De Meerleer G., Ost P., Razack A., Lim J., Teo S.-H., Lin D.W., Newcomb L.F., Lessel D., Gamulin M., Kulis T., Kaneva R., Usmani N., Singhal S., Slavov C., Mitev V., Parliament M., Claessens F., Joniau S., Van Den Broeck T., Larkin S., Townsend P.A., Aukim-Hastie C., Dominguez M.G., Castelao J.E., Martinez M.E., Roobol M.J., Jenster G., Van Schaik R.H.N., Menegaux F., Truong T., Koudou Y.A., Xu J., Khaw K.-T., Cannon-Albright L., Pandha H., Michael A., Thibodeau S.N., McDonnell S.K., Schaid D.J., Lindstrom S., Turman C., Ma J., Hunter D.J., Riboli E., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Hoover R.N., Machiela M.J., Cui Z., Kraft P., Amos C.I., Conti D.V., Easton D.F., Wiklund F., Chanock S.J., Henderson B.E., Kote-Jarai Z., Haiman C.A., Eeles R.A., Schumacher F.R., Al Olama A.A., Berndt S.I., Benlloch S., Ahmed M., Saunders E.J., Dadaev T., Leongamornlert D., Anokian E., Cieza-Borrella C., Goh C., Brook M.N., Sheng X., Fachal L., Dennis J., Tyrer J., Muir K., Lophatananon A., Stevens V.L., Gapstur S.M., Carter B.D., Tangen C.M., Goodman P.J., Thompson I.M., Batra J., Chambers S., Moya L., Clements J., Horvath L., Tilley W., Risbridger G.P., Gronberg H., Aly M., Nordstrom T., Pharoah P., Pashayan N., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Albanes D., Weinstein S., Wolk A., Hakansson N., West C.M.L., Dunning A.M., Burnet N., Mucci L.A., Giovannucci E., Andriole G.L., Cussenot O., Cancel-Tassin G., Koutros S., Beane Freeman L.E., Sorensen K.D., Orntoft T.F., Borre M., Maehle L., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Travis R.C., Key T.J., Hamilton R.J., Fleshner N.E., Finelli A., Ingles S.A., Stern M.C., Rosenstein B.S., Kerns S.L., Ostrer H., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Guo X., Wang G., Sun Z., Giles G.G., Southey M.C., MacInnis R.J., Fitzgerald L.M., Kibel A.S., Drake B.F., Vega A., Gomez-Caamano A., Szulkin R., Eklund M., Kogevinas M., Llorca J., Castano-Vinyals G., Penney K.L., Stampfer M., Park J.Y., Sellers T.A., Lin H.-Y., Stanford J.L., Cybulski C., Wokolorczyk D., Lubinski J., Ostrander E.A., Geybels M.S., Nordestgaard Bo.G., Nielsen S.F., Weischer M., Bisbjerg R., Roder M.A., Iversen P., Brenner H., Cuk K., and Holleczek B.
- Abstract
Genome-wide association studies (GWAS) and fine-mapping efforts to date have identified more than 100 prostate cancer (PrCa)-susceptibility loci. We meta-analyzed genotype data from a custom high-density array of 46,939 PrCa cases and 27,910 controls of European ancestry with previously genotyped data of 32,255 PrCa cases and 33,202 controls of European ancestry. Our analysis identified 62 novel loci associated (P < 5.0 x 10-8) with PrCa and one locus significantly associated with early-onset PrCa (<=55 years). Our findings include missense variants rs1800057 (odds ratio (OR) = 1.16; P = 8.2 x 10-9; G>C, p.Pro1054Arg) in ATM and rs2066827 (OR = 1.06; P = 2.3 x 10-9; T>G, p.Val109Gly) in CDKN1B. The combination of all loci captured 28.4% of the PrCa familial relative risk, and a polygenic risk score conferred an elevated PrCa risk for men in the ninetieth to ninety-ninth percentiles (relative risk = 2.69; 95% confidence interval (CI): 2.55-2.82) and first percentile (relative risk = 5.71; 95% CI: 5.04-6.48) risk stratum compared with the population average. These findings improve risk prediction, enhance fine-mapping, and provide insight into the underlying biology of PrCa 1 .Copyright © 2018 The Author(s).
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- 2018
50. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants.
- Author
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Stampfer M., Ranu H., Hicks B., Vogt A., Cox A., Davis M., Brown P., George A., Marsden G., Lane A., Lewis S.J., Berry C., Kulkarni G.S., Toi A., Evans A., Zlotta A.R., Van Der Kwast T.H., Imai T., Saito S., Marzec J., Cao G., Lin J., Li M., Zhao S.-C., Ren G., Yu Y., Wu Y., Wu J., Zhou B., Zhang Y., Li J., He W., Guo J., Pedersen J., Hopper J.L., Milne R., Klim A., Carballo A., Lobato-Busto R., Peleteiro P., Calvo P., Aguado M., Ruiz-Dominguez J.M., Cecchini L., Mengual L., Alcaraz A., Bustamante M., Gracia-Lavedan E., Dierssen-Sotos T., Gomez-Acebo I., Pow-Sang J., Park H., Zachariah B., Kluzniak W., Kolb S., Klarskov P., Stegmaier C., Vogel W., Herkommer K., Bohnert P., Maia S., Silva M.P., De Langhe S., Thierens H., Tan M.H., Ong A.T., Kastelan Z., Popov E., Kachakova D., Mitkova A., Vlahova A., Dikov T., Christova S., Carracedo A., Bangma C., Schroder F.H., Cenee S., Tretarre B., Rebillard X., Mulot C., Sanchez M., Adolfsson J., Stattin P., Johansson J.-E., Cavalli-Bjoerkman C., Karlsson A., Broms M., Wu H., Tillmans L., Riska S., Freedman M., Wiklund F., Chanock S., Henderson B.E., Easton D.F., Haiman C.A., Eeles R.A., Conti D.V., Kote-Jarai Z., Hutchinson A., Ling J., Papargiris M., Dadaev T., Saunders E.J., Newcombe P.J., Anokian E., Leongamornlert D.A., Brook M.N., Cieza-Borrella C., Mijuskovic M., Wakerell S., Olama A.A.A., Schumacher F.R., Berndt S.I., Benlloch S., Ahmed M., Goh C., Sheng X., Zhang Z., Muir K., Govindasami K., Lophatananon A., Stevens V.L., Gapstur S.M., Carter B.D., Tangen C.M., Goodman P., Thompson I.M., Batra J., Chambers S., Moya L., Clements J., Horvath L., Tilley W., Risbridger G., Gronberg H., Aly M., Nordstrom T., Pharoah P., Pashayan N., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Albanes D., Weinstein S., Wolk A., Hakansson N., West C., Dunning A.M., Burnet N., Mucci L., Giovannucci E., Andriole G., Cussenot O., Cancel-Tassin G., Koutros S., Freeman L.E.B., Sorensen K.D., Orntoft T.F., Borre M., Maehle L., Grindedal E.M., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Travis R.C., Key T.J., Hamilton R.J., Fleshner N.E., Finelli A., Ingles S.A., Stern M.C., Rosenstein B., Kerns S., Ostrer H., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Guo X., Wang G., Sun Z., Giles G.G., Southey M.C., MacInnis R.J., Fitzgerald L.M., Kibel A.S., Drake B.F., Vega A., Gomez-Caamano A., Fachal L., Szulkin R., Eklund M., Kogevinas M., Llorca J., Castano-Vinyals G., Penney K.L., Park J.Y., Sellers T.A., Lin H.-Y., Stanford J.L., Cybulski C., Wokolorczyk D., Lubinski J., Ostrander E.A., Geybels M.S., Nordestgaard Bo.G., Nielsen S.F., Weisher M., Bisbjerg R., Roder M.A., Iversen P., Brenner H., Cuk K., Holleczek B., Maier C., Luedeke M., Schnoeller T., Kim J., Logothetis C.J., John E.M., Teixeira M.R., Paulo P., Cardoso M., Neuhausen S.L., Steele L., Ding Y.C., De Ruyck K., De Meerleer G., Ost P., Razack A., Lim J., Teo S.-H., Lin D.W., Newcomb L.F., Lessel D., Gamulin M., Kulis T., Kaneva R., Usmani N., Slavov C., Mitev V., Parliament M., Singhal S., Claessens F., Joniau S., Van Den Broeck T., Larkin S., Townsend P.A., Aukim-Hastie C., Gago-Dominguez M., Castelao J.E., Martinez M.E., Roobol M.J., Jenster G., Van Schaik R.H.N., Menegaux F., Truong T., Koudou Y.A., Xu J., Khaw K.-T., Cannon-Albright L., Pandha H., Michael A., Kierzek A., Thibodeau S.N., McDonnell S.K., Schaid D.J., Lindstrom S., Turman C., Ma J., Hunter D.J., Riboli E., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Hoover R.N., Machiela M.J., Kraft P., Cook M., Thwaites A., Guy M., Whitmore I., Morgan A., Fisher C., Hazel S., Livni N., Spurdle A., Srinivasan S., Kedda M.-A., Aitken J., Gardiner R., Hayes V., Butler L., Taylor R., Yeadon T., Eckert A., Saunders P., Haynes A.-M., Kujala P., Talala K., Murtola T., Taari K., Dearnaley D., Barnett G., Bentzen So., Elliott R., Stampfer M., Ranu H., Hicks B., Vogt A., Cox A., Davis M., Brown P., George A., Marsden G., Lane A., Lewis S.J., Berry C., Kulkarni G.S., Toi A., Evans A., Zlotta A.R., Van Der Kwast T.H., Imai T., Saito S., Marzec J., Cao G., Lin J., Li M., Zhao S.-C., Ren G., Yu Y., Wu Y., Wu J., Zhou B., Zhang Y., Li J., He W., Guo J., Pedersen J., Hopper J.L., Milne R., Klim A., Carballo A., Lobato-Busto R., Peleteiro P., Calvo P., Aguado M., Ruiz-Dominguez J.M., Cecchini L., Mengual L., Alcaraz A., Bustamante M., Gracia-Lavedan E., Dierssen-Sotos T., Gomez-Acebo I., Pow-Sang J., Park H., Zachariah B., Kluzniak W., Kolb S., Klarskov P., Stegmaier C., Vogel W., Herkommer K., Bohnert P., Maia S., Silva M.P., De Langhe S., Thierens H., Tan M.H., Ong A.T., Kastelan Z., Popov E., Kachakova D., Mitkova A., Vlahova A., Dikov T., Christova S., Carracedo A., Bangma C., Schroder F.H., Cenee S., Tretarre B., Rebillard X., Mulot C., Sanchez M., Adolfsson J., Stattin P., Johansson J.-E., Cavalli-Bjoerkman C., Karlsson A., Broms M., Wu H., Tillmans L., Riska S., Freedman M., Wiklund F., Chanock S., Henderson B.E., Easton D.F., Haiman C.A., Eeles R.A., Conti D.V., Kote-Jarai Z., Hutchinson A., Ling J., Papargiris M., Dadaev T., Saunders E.J., Newcombe P.J., Anokian E., Leongamornlert D.A., Brook M.N., Cieza-Borrella C., Mijuskovic M., Wakerell S., Olama A.A.A., Schumacher F.R., Berndt S.I., Benlloch S., Ahmed M., Goh C., Sheng X., Zhang Z., Muir K., Govindasami K., Lophatananon A., Stevens V.L., Gapstur S.M., Carter B.D., Tangen C.M., Goodman P., Thompson I.M., Batra J., Chambers S., Moya L., Clements J., Horvath L., Tilley W., Risbridger G., Gronberg H., Aly M., Nordstrom T., Pharoah P., Pashayan N., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Albanes D., Weinstein S., Wolk A., Hakansson N., West C., Dunning A.M., Burnet N., Mucci L., Giovannucci E., Andriole G., Cussenot O., Cancel-Tassin G., Koutros S., Freeman L.E.B., Sorensen K.D., Orntoft T.F., Borre M., Maehle L., Grindedal E.M., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Travis R.C., Key T.J., Hamilton R.J., Fleshner N.E., Finelli A., Ingles S.A., Stern M.C., Rosenstein 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- Abstract
Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling.Copyright © 2018 The Author(s).
- Published
- 2018
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