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181 results on '"Travis R.C."'

1. Insulin-like growth factor-1, insulin-like growth factor-binding protein-3, and breast cancer risk: observational and Mendelian randomization analyses with ∼430 000 women

Author: Murphy, N., Knuppel, A., Papadimitriou, N., Martin, R.M., Tsilidis, K.K., Smith-Byrne, K., Fensom, G., Perez-Cornago, A., Travis, R.C., Key, T.J., and Gunter, M.J.
Published: 2020
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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

Author: 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.
Published: 2019
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3. Circulating prolactin and breast cancer risk among pre- and postmenopausal women in the EPIC cohort

Author: 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.
Published: 2014
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4. 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

Author: Schmidt, J.A., Rinaldi, S., Scalbert, A., Ferrari, P., Achaintre, D., Gunter, M.J., Appleby, P.N., Key, T.J., and Travis, R.C.
Subjects: 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 [...]
Published: 2016
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5. A new pipeline for the normalization and pooling of metabolomics data

Author: Viallon, V., His, M., Rinaldi, S., Breeur, M., Gicquiau, A., Hemon, B., Overvad, K., Tjønneland, A., Rostgaard-Hansen, A.L., Rothwell, J.A., Lecuyer, L., Severi, G., Kaaks, R., Johnson, T., Schulze, M.B., Palli, D., Agnoli, C., Panico, S., Tumino, R., Ricceri, F., Monique Verschuren, W.M., Engelfriet, P., Onland-Moret, C., Vermeulen, R., Nøst, T.H., Urbarova, I., Zamora-Ros, R., Rodriguez-Barranco, M., Amiano, P., Huerta, J.M., Ardanaz, E., Melander, O., Ottoson, F., Vidman, L., Rentoft, M., Schmidt, J.A., Travis, R.C., Weiderpass, E., Johansson, M., Dossus, L., Jenab, M., Gunter, M.J., Bermejo, J.L., Scherer, D., Salek, R.M., Keski-Rahkonen, P., Ferrari, P., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, and Sub Inorganic Chemistry and Catalysis
Subjects: Normalization (statistics), Pooling, Computer science, Pipeline (computing), Endocrinology, Diabetes and Metabolism, computer.software_genre, Microbiology, Biochemistry, Generalized linear mixed model, Statistical power, Article, 03 medical and health sciences, Endocrinology, 0302 clinical medicine, Cancer epidemiology, Metabolites, Metabolomics, Imputation (statistics), Càncer, Molecular Biology, 030304 developmental biology, Cancer, 0303 health sciences, Cancer och onkologi, Bioinformatics (Computational Biology), Normalization, Technical variability, VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801, Missing data, QR1-502, 3. Good health, Diabetes and Metabolism, Metabolòmica, 030220 oncology & carcinogenesis, Cancer and Oncology, Outlier, Bioinformatik (beräkningsbiologi), Data mining, VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801, computer
Abstract: Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Specifically, different studies may use variable sample types (e.g., serum versus plasma) collected, treated, and stored according to different protocols, and assayed in different laboratories using different instruments. To address these issues, a new pipeline was developed to normalize and pool metabolomics data through a set of sequential steps: (i) exclusions of the least informative observations and metabolites and removal of outliers, imputation of missing data, (ii) identification of the main sources of variability through principal component partial R-square (PC-PR2) analysis, (iii) application of linear mixed models to remove unwanted variability, including samples’ originating study and batch, and preserve biological variations while accounting for potential differences in the residual variances across studies. This pipeline was applied to targeted metabolomics data acquired using Biocrates AbsoluteIDQ kits in eight case-control studies nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Comprehensive examination of metabolomics measurements indicated that the pipeline improved the comparability of data across the studies. Our pipeline can be adapted to normalize other molecular data, including biomarkers as well as proteomics data, and could be used for pooling molecular datasets, for example in international consortia, to limit biases introduced by inter-study variability. This versatility of the pipeline makes our work of potential interest to molecular epidemiologists.
Published: 2021

6. Serum concentrations of cholesterol, apolipoprotein A-I and apolipoprotein B in a total of 1694 meat-eaters, fish-eaters, vegetarians and vegans

Author: Bradbury, K.E., Crowe, F.L., Appleby, P.N., Schmidt, J.A., Travis, R.C., and Key, T.J.
Subjects: 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 [...]
Published: 2014
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7. 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’

Author: 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
Published: 2021
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8. Polygenic hazard score is associated with prostate cancer in multi-ethnic populations.

Author: Huynh-Le M.-P., Fan C.C., Karunamuni R., Thompson W.K., Martinez M.E., Eeles R.A., Kote-Jarai Z., Muir K., Schleutker J., Pashayan N., Batra J., Gronberg H., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Nielsen S.F., Nordestgaard B.G., Wiklund F., Tangen C.M., Giles G.G., Wolk A., Albanes D., Travis R.C., Blot W.J., Zheng W., Sanderson M., Stanford J.L., Mucci L.A., West C.M.L., Kibel A.S., Cussenot O., Berndt S.I., Koutros S., Sorensen K.D., Cybulski C., Grindedal E.M., Menegaux F., Khaw K.-T., Park J.Y., Ingles S.A., Maier C., Hamilton R.J., Thibodeau S.N., Rosenstein B.S., Lu Y.-J., Watya S., Vega A., Kogevinas M., Penney K.L., Huff C., Teixeira M.R., Multigner L., Leach R.J., Cannon-Albright L., Brenner H., John E.M., Kaneva R., Logothetis C.J., Neuhausen S.L., De Ruyck K., Pandha H., Razack A., Newcomb L.F., Fowke J.H., Gamulin M., Usmani N., Claessens F., Gago-Dominguez M., Townsend P.A., Bush W.S., Roobol M.J., Parent M.-E., Hu J.J., Mills I.G., Andreassen O.A., Dale A.M., Seibert T.M., Huynh-Le M.-P., Fan C.C., Karunamuni R., Thompson W.K., Martinez M.E., Eeles R.A., Kote-Jarai Z., Muir K., Schleutker J., Pashayan N., Batra J., Gronberg H., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Nielsen S.F., Nordestgaard B.G., Wiklund F., Tangen C.M., Giles G.G., Wolk A., Albanes D., Travis R.C., Blot W.J., Zheng W., Sanderson M., Stanford J.L., Mucci L.A., West C.M.L., Kibel A.S., Cussenot O., Berndt S.I., Koutros S., Sorensen K.D., Cybulski C., Grindedal E.M., Menegaux F., Khaw K.-T., Park J.Y., Ingles S.A., Maier C., Hamilton R.J., Thibodeau S.N., Rosenstein B.S., Lu Y.-J., Watya S., Vega A., Kogevinas M., Penney K.L., Huff C., Teixeira M.R., Multigner L., Leach R.J., Cannon-Albright L., Brenner H., John E.M., Kaneva R., Logothetis C.J., Neuhausen S.L., De Ruyck K., Pandha H., Razack A., Newcomb L.F., Fowke J.H., Gamulin M., Usmani N., Claessens F., Gago-Dominguez M., Townsend P.A., Bush W.S., Roobol M.J., Parent M.-E., Hu J.J., Mills I.G., Andreassen O.A., Dale A.M., and Seibert T.M.
Abstract: Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. Here, we evaluate performance of PHS2 (PHS1, adapted for OncoArray) in a multi-ethnic dataset of 80,491 men (49,916 cases, 30,575 controls). PHS2 is associated with age at diagnosis of any and aggressive (Gleason score >= 7, stage T3-T4, PSA >= 10 ng/mL, or nodal/distant metastasis) cancer and prostate-cancer-specific death. Associations with cancer are significant within European (n = 71,856), Asian (n = 2,382), and African (n = 6,253) genetic ancestries (p < 10-180). Comparing the 80th/20th PHS2 percentiles, hazard ratios for prostate cancer, aggressive cancer, and prostate-cancer-specific death are 5.32, 5.88, and 5.68, respectively. Within European, Asian, and African ancestries, hazard ratios for prostate cancer are: 5.54, 4.49, and 2.54, respectively. PHS2 risk-stratifies men for any, aggressive, and fatal prostate cancer in a multi-ethnic dataset.Copyright © 2021, The Author(s).
Published: 2021

9. 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).

Author: 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.
Published: 2021

10. KLK3 SNP-SNP interactions for prediction of prostate cancer aggressiveness.

Author: Pandha H., Berglund A.E., Chen A., French-Kwawu J., Harris D., Pow-Sang J., Yamoah K., Cleveland J.L., Awasthi S., Rounbehler R.J., Gerke T., Dhillon J., Eeles R., Teixeira M.R., Cannon-Albright L., Brenner H., Kaneva R., Fang Z., Srinivasan S., Clements J., Batra J., Park J.Y., Lin H.-Y., Huang P.-Y., Cheng C.-H., Tung H.-Y., Kote-Jarai Z., Muir K., Schleutker J., Pashayan N., Neal D.E., Nielsen S.F., Nordestgaard B.G., Gronberg H., Wiklund F., Giles G.G., Haiman C.A., Travis R.C., Stanford J.L., Kibel A.S., Cybulski C., Khaw K.-T., Maier C., Thibodeau S.N., Pandha H., Berglund A.E., Chen A., French-Kwawu J., Harris D., Pow-Sang J., Yamoah K., Cleveland J.L., Awasthi S., Rounbehler R.J., Gerke T., Dhillon J., Eeles R., Teixeira M.R., Cannon-Albright L., Brenner H., Kaneva R., Fang Z., Srinivasan S., Clements J., Batra J., Park J.Y., Lin H.-Y., Huang P.-Y., Cheng C.-H., Tung H.-Y., Kote-Jarai Z., Muir K., Schleutker J., Pashayan N., Neal D.E., Nielsen S.F., Nordestgaard B.G., Gronberg H., Wiklund F., Giles G.G., Haiman C.A., Travis R.C., Stanford J.L., Kibel A.S., Cybulski C., Khaw K.-T., Maier C., and Thibodeau S.N.
Abstract: Risk classification for prostate cancer (PCa) aggressiveness and underlying mechanisms remain inadequate. Interactions between single nucleotide polymorphisms (SNPs) may provide a solution to fill these gaps. To identify SNP-SNP interactions in the four pathways (the angiogenesis-, mitochondria-, miRNA-, and androgen metabolism-related pathways) associated with PCa aggressiveness, we tested 8587 SNPs for 20,729 cases from the PCa consortium. We identified 3 KLK3 SNPs, and 1083 (P<3.5x10-9) and 3145 (P<1x10-5) SNP-SNP interaction pairs significantly associated with PCa aggressiveness. These SNP pairs associated with PCa aggressiveness were more significant than each of their constituent SNP individual effects. The majority (98.6%) of the 3145 pairs involved KLK3. The 3 most common gene-gene interactions were KLK3-COL4A1:COL4A2, KLK3-CDH13, and KLK3-TGFBR3. Predictions from the SNP interaction-based polygenic risk score based on 24 SNP pairs are promising. The prevalence of PCa aggressiveness was 49.8%, 21.9%, and 7.0% for the PCa cases from our cohort with the top 1%, middle 50%, and bottom 1% risk profiles. Potential biological functions of the identified KLK3 SNP-SNP interactions were supported by gene expression and protein-protein interaction results. Our findings suggest KLK3 SNP interactions may play an important role in PCa aggressiveness.
Published: 2021

11. The CHEK2 variant C.349A>G is associated with prostate cancer risk and carriers share a common ancestor.

Author: Neuhausen S.L., Brandao A., Paulo P., Maia S., Pinheiro M., Peixoto A., Cardoso M., Silva M.P., Santos C., Eeles R.A., John E.M., Kaneva R., Logothetis C.J., De Ruyck K., Razack A., Newcomb L.F., Lessel D., Usmani N., Claessens F., Gago-Dominguez M., Townsend P.A., Roobol M.J., Teixeira M.R., Kote-Jarai Z., Muir K., Schleutker J., Wang Y., Pashayan N., Batra J., Gronberg H., Neal D.E., Nordestgaard B.G., Tangen C.M., Southey M.C., Wolk A., Albanes D., Haiman C.A., Travis R.C., Stanford J.L., Mucci L.A., West C.M.L., Nielsen S.F., Kibel A.S., Cussenot O., Berndt S.I., Koutros S., Sorensen K.D., Cybulski C., Grindedal E.M., Park J.Y., Ingles S.A., Maier C., Hamilton R.J., Rosenstein B.S., Vega A., Kogevinas M., Wiklund F., Penney K.L., Brenner H., Neuhausen S.L., Brandao A., Paulo P., Maia S., Pinheiro M., Peixoto A., Cardoso M., Silva M.P., Santos C., Eeles R.A., John E.M., Kaneva R., Logothetis C.J., De Ruyck K., Razack A., Newcomb L.F., Lessel D., Usmani N., Claessens F., Gago-Dominguez M., Townsend P.A., Roobol M.J., Teixeira M.R., Kote-Jarai Z., Muir K., Schleutker J., Wang Y., Pashayan N., Batra J., Gronberg H., Neal D.E., Nordestgaard B.G., Tangen C.M., Southey M.C., Wolk A., Albanes D., Haiman C.A., Travis R.C., Stanford J.L., Mucci L.A., West C.M.L., Nielsen S.F., Kibel A.S., Cussenot O., Berndt S.I., Koutros S., Sorensen K.D., Cybulski C., Grindedal E.M., Park J.Y., Ingles S.A., Maier C., Hamilton R.J., Rosenstein B.S., Vega A., Kogevinas M., Wiklund F., Penney K.L., and Brenner H.
Abstract: The identification of recurrent founder variants in cancer predisposing genes may have important implications for implementing cost-effective targeted genetic screening strategies. In this study, we evaluated the prevalence and relative risk of the CHEK2 recurrent variant c.349A>G in a series of 462 Portuguese patients with early-onset and/or familial/hereditary prostate cancer (PrCa), as well as in the large multicentre PRACTICAL case-control study comprising 55,162 prostate cancer cases and 36,147 controls. Additionally, we investigated the potential shared ancestry of the carriers by performing identity-by-descent, haplotype and age estimation analyses using high-density SNP data from 70 variant carriers belonging to 11 different populations included in the PRACTICAL consortium. The CHEK2 missense variant c.349A>G was found significantly associated with an increased risk for PrCa (OR 1.9; 95% CI: 1.1-3.2). A shared haplotype flanking the variant in all carriers was identified, strongly suggesting a common founder of European origin. Additionally, using two independent statistical algorithms, implemented by DMLE+2.3 and ESTIAGE, we were able to estimate the age of the variant between 2300 and 3125 years. By extending the haplotype analysis to 14 additional carrier families, a shared core haplotype was revealed among all carriers matching the conserved region previously identified in the high-density SNP analysis. These findings are consistent with CHEK2 c.349A>G being a founder variant associated with increased PrCa risk, suggesting its potential usefulness for cost-effective targeted genetic screening in PrCa families.Copyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Published: 2021

12. Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: a Mendelian randomization study.

Author: 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

13. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

Author: 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.
Published: 2021

14. Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: A Mendelian randomization study.

Author: 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
Published: 2021

15. A New Pipeline for the Normalization and Pooling of Metabolomics Data

Author: IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Sub Inorganic Chemistry and Catalysis, Viallon, V., His, M., Rinaldi, S., Breeur, M., Gicquiau, A., Hemon, B., Overvad, K., Tjønneland, A., Rostgaard-Hansen, A.L., Rothwell, J.A., Lecuyer, L., Severi, G., Kaaks, R., Johnson, T., Schulze, M.B., Palli, D., Agnoli, C., Panico, S., Tumino, R., Ricceri, F., Monique Verschuren, W.M., Engelfriet, P., Onland-Moret, C., Vermeulen, R., Nøst, T.H., Urbarova, I., Zamora-Ros, R., Rodriguez-Barranco, M., Amiano, P., Huerta, J.M., Ardanaz, E., Melander, O., Ottoson, F., Vidman, L., Rentoft, M., Schmidt, J.A., Travis, R.C., Weiderpass, E., Johansson, M., Dossus, L., Jenab, M., Gunter, M.J., Bermejo, J.L., Scherer, D., Salek, R.M., Keski-Rahkonen, P., Ferrari, P., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Sub Inorganic Chemistry and Catalysis, Viallon, V., His, M., Rinaldi, S., Breeur, M., Gicquiau, A., Hemon, B., Overvad, K., Tjønneland, A., Rostgaard-Hansen, A.L., Rothwell, J.A., Lecuyer, L., Severi, G., Kaaks, R., Johnson, T., Schulze, M.B., Palli, D., Agnoli, C., Panico, S., Tumino, R., Ricceri, F., Monique Verschuren, W.M., Engelfriet, P., Onland-Moret, C., Vermeulen, R., Nøst, T.H., Urbarova, I., Zamora-Ros, R., Rodriguez-Barranco, M., Amiano, P., Huerta, J.M., Ardanaz, E., Melander, O., Ottoson, F., Vidman, L., Rentoft, M., Schmidt, J.A., Travis, R.C., Weiderpass, E., Johansson, M., Dossus, L., Jenab, M., Gunter, M.J., Bermejo, J.L., Scherer, D., Salek, R.M., Keski-Rahkonen, P., and Ferrari, P.
Published: 2021

16. Prospective analysis of circulating metabolites and endometrial cancer risk

Author: Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Dossus, L., Kouloura, E., Biessy, C., Viallon, V., Siskos, A.P., Dimou, N., Rinaldi, S., Merritt, M.A., Allen, N., Fortner, R., Kaaks, R., Weiderpass, E., Gram, I.T., Rothwell, J.A., Lécuyer, L., Severi, G., Schulze, M.B., Nøst, T.H., Crous-Bou, M., Sánchez, M.-J., Amiano, P., Colorado-Yohar, S.M., Gurrea, A.B., Schmidt, J.A., Palli, D., Agnoli, C., Tumino, R., Sacerdote, C., Mattiello, A., Vermeulen, R., Heath, A.K., Christakoudi, S., Tsilidis, K.K., Travis, R.C., Gunter, M.J., Keun, H.C., Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Dossus, L., Kouloura, E., Biessy, C., Viallon, V., Siskos, A.P., Dimou, N., Rinaldi, S., Merritt, M.A., Allen, N., Fortner, R., Kaaks, R., Weiderpass, E., Gram, I.T., Rothwell, J.A., Lécuyer, L., Severi, G., Schulze, M.B., Nøst, T.H., Crous-Bou, M., Sánchez, M.-J., Amiano, P., Colorado-Yohar, S.M., Gurrea, A.B., Schmidt, J.A., Palli, D., Agnoli, C., Tumino, R., Sacerdote, C., Mattiello, A., Vermeulen, R., Heath, A.K., Christakoudi, S., Tsilidis, K.K., Travis, R.C., Gunter, M.J., and Keun, H.C.
Published: 2021

17. Circulating tryptophan metabolites and risk of colon cancer: Results from case-control and prospective cohort studies

Author: Papadimitriou, N., Papadimitriou, N., Gunter, M.J., Murphy, N., Gicquiau, A., Achaintre, D., Brezina, S., Gumpenberger, T., Baierl, A., Ose, J., Geijsen, A.J.M.R., van Roekel, E.H., Gsur, A., Gigic, B., Habermann, N., Ulrich, C.M., Kampman, E., Weijenberg, M.P., Ueland, P.M., Kaaks, R., Katzke, V., Krogh, V., Bueno-de-Mesquita, B., Ardanaz, E., Travis, R.C., Schulze, M.B., Sanchez, M.J., Colorado-Yohar, S.M., Weiderpass, E., Scalbert, A., Keski-Rahkonen, P., Papadimitriou, N., Papadimitriou, N., Gunter, M.J., Murphy, N., Gicquiau, A., Achaintre, D., Brezina, S., Gumpenberger, T., Baierl, A., Ose, J., Geijsen, A.J.M.R., van Roekel, E.H., Gsur, A., Gigic, B., Habermann, N., Ulrich, C.M., Kampman, E., Weijenberg, M.P., Ueland, P.M., Kaaks, R., Katzke, V., Krogh, V., Bueno-de-Mesquita, B., Ardanaz, E., Travis, R.C., Schulze, M.B., Sanchez, M.J., Colorado-Yohar, S.M., Weiderpass, E., Scalbert, A., and Keski-Rahkonen, P.
Abstract: Dysregulation of tryptophan metabolism has been linked to colorectal tumorigenesis; however, epidemiological studies investigating tryptophan metabolites in relation to colorectal cancer risk are limited. We studied associations of plasma tryptophan, serotonin and kynurenine with colon cancer risk in two studies with cancer patients and controls, and in one prospective cohort: ColoCare Study (110 patients/153 controls), the Colorectal Cancer Study of Austria (CORSA; 46 patients/390 controls) and the European Prospective Investigation into Cancer and Nutrition (EPIC; 456 matched case-control pairs). Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for colon cancer risk. Tryptophan was inversely associated with colon cancer risk in ColoCare (OR per 1-SD = 0.44; 95% CI, 0.31-0.64) and EPIC (OR per 1-SD = 0.86; 95% CI, 0.74-0.99). Comparing detectable vs nondetectable levels, serotonin was positively associated with colon cancer in CORSA (OR = 6.39; 95% CI, 3.61-11.3) and EPIC (OR = 2.03; 95% CI, 1.20-3.40). Kynurenine was inversely associated with colon cancer in ColoCare (OR per 1-SD = 0.74; 95% CI, 0.55-0.98), positively associated in CORSA (OR per 1-SD = 1.79; 95% CI, 1.27-2.52), while no association was observed in EPIC. The kynurenine-to-tryptophan ratio was positively associated with colon cancer in ColoCare (OR per 1-SD = 1.38; 95% CI, 1.03-1.84) and CORSA (OR per 1-SD = 1.44; 95% CI, 1.06-1.96), but not in EPIC. These results suggest that higher plasma tryptophan may be associated with lower colon cancer risk, while increased serotonin may be associated with a higher risk of colon cancer. The kynurenine-to-tryptophan ratio may also reflect altered tryptophan catabolism during colon cancer development.
Published: 2021

18. Exogenous hormone use and cutaneous melanoma risk in women: The European Prospective Investigation into Cancer and Nutrition

Author: Cervenka, I. Al Rahmoun, M. Mahamat-Saleh, Y. Fournier, A. Boutron-Ruault, M.-C. Severi, G. Caini, S. Palli, D. Ghiasvand, R. Veierod, M.B. Botteri, E. Tjønneland, A. Olsen, A. Fortner, R.T. Kaaks, R. Schulze, M.B. Panico, S. Trichopoulou, A. Dessinioti, C. Niforou, K. Sieri, S. Tumino, R. Sacerdote, C. Bueno-de-Mesquita, B. Sandanger, T.M. Colorado-Yohar, S. Sánchez, M.J. Gil Majuelo, L. Lujan-Barroso, L. Ardanaz, E. Merino, S. Isaksson, K. Butt, S. Ljuslinder, I. Jansson, M. Travis, R.C. Khaw, K.-T. Weiderpass, E. Dossus, L. Rinaldi, S. Kvaskoff, M.
Abstract: Evidence suggests an influence of sex hormones on cutaneous melanoma risk, but epidemiologic findings are conflicting. We examined the associations between use of oral contraceptives (OCs) and menopausal hormone therapy (MHT) and melanoma risk in women participating in the European Prospective Investigation into Cancer and Nutrition (EPIC). EPIC is a prospective cohort study initiated in 1992 in 10 European countries. Information on exogenous hormone use at baseline was derived from country-specific self-administered questionnaires. We used Cox proportional hazards regression models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). Over 1992–2015, 1,696 melanoma cases were identified among 334,483 women, whereof 770 cases among 134,758 postmenopausal women. There was a positive, borderline-significant association between OC use and melanoma risk (HR = 1.12, 95% CI = 1.00–1.26), with no detected heterogeneity across countries (phomogeneity = 0.42). This risk increased linearly with duration of use (ptrend = 0.01). Among postmenopausal women, ever use of MHT was associated with a nonsignificant increase in melanoma risk overall (HR = 1.14, 95% CI = 0.97–1.43), which was heterogeneous across countries (phomogeneity = 0.05). Our findings do not support a strong and direct association between exogenous hormone use and melanoma risk. In order to better understand these relations, further research should be performed using prospectively collected data including detailed information on types of hormone, and on sun exposure, which may act as an important confounder or effect modifier on these relations. © 2019 UICC
Published: 2020

19. Healthy lifestyle and the risk of pancreatic cancer in the EPIC study

Author: Naudin, S. Viallon, V. Hashim, D. Freisling, H. Jenab, M. Weiderpass, E. Perrier, F. McKenzie, F. Bueno-de-Mesquita, H.B. Olsen, A. Tjønneland, A. Dahm, C.C. Overvad, K. Mancini, F.R. Rebours, V. Boutron-Ruault, M.-C. Katzke, V. Kaaks, R. Bergmann, M. Boeing, H. Peppa, E. Karakatsani, A. Trichopoulou, A. Pala, V. Masala, G. Panico, S. Tumino, R. Sacerdote, C. May, A.M. van Gils, C.H. Rylander, C. Borch, K.B. Chirlaque López, M.D. Sánchez, M.-J. Ardanaz, E. Quirós, J.R. Amiano Exezarreta, P. Sund, M. Drake, I. Regnér, S. Travis, R.C. Wareham, N. Aune, D. Riboli, E. Gunter, M.J. Duell, E.J. Brennan, P. Ferrari, P.
Abstract: Pancreatic cancer (PC) is a highly fatal cancer with currently limited opportunities for early detection and effective treatment. Modifiable factors may offer pathways for primary prevention. In this study, the association between the Healthy Lifestyle Index (HLI) and PC risk was examined. Within the European Prospective Investigation into Cancer and Nutrition cohort, 1113 incident PC (57% women) were diagnosed from 400,577 participants followed-up for 15 years (median). HLI scores combined smoking, alcohol intake, dietary exposure, physical activity and, in turn, overall and central adiposity using BMI (HLIBMI) and waist-to-hip ratio (WHR, HLIWHR), respectively. High values of HLI indicate adherence to healthy behaviors. Cox proportional hazard models with age as primary time variable were used to estimate PC hazard ratios (HR) and 95% confidence intervals (CI). Sensitivity analyses were performed by excluding, in turn, each factor from the HLI score. Population attributable fractions (PAF) were estimated assuming participants’ shift to healthier lifestyles. The HRs for a one-standard deviation increment of HLIBMI and HLIWHR were 0.84 (95% CI: 0.79, 0.89; ptrend = 4.3e−09) and 0.77 (0.72, 0.82; ptrend = 1.7e−15), respectively. Exclusions of smoking from HLIWHR resulted in HRs of 0.88 (0.82, 0.94; ptrend = 4.9e−04). The overall PAF estimate was 19% (95% CI: 11%, 26%), and 14% (6%, 21%) when smoking was removed from the score. Adherence to a healthy lifestyle was inversely associated with PC risk, beyond the beneficial role of smoking avoidance. Public health measures targeting compliance with healthy lifestyles may have an impact on PC incidence. © 2019, Springer Nature B.V.
Published: 2020

20. Intake of individual fatty acids and risk of prostate cancer in the European prospective investigation into cancer and nutrition

Author: 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.
Abstract: 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
Published: 2020

21. 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

Author: 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.
Abstract: 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
Published: 2020

22. Genetically Determined Height and Risk of Non-hodgkin Lymphoma

Author: Moore, A., Kane, E., Panagiotou, O.A., Teras, L.R., Monnereau, A., Wong Doo, N., Machiela, M.J., Skibola, C.F., Slager, S.L., Salles, G., Camp, N.J., Bracci, P.M., Nieters, A., Vermeulen, R.C.H., Vijai, J., Smedby, K.E., Vajdic, C.M., Cozen, W., Spinelli, J.J., Hjalgrim, H., Giles, G.G., Link, B.K., Clavel, J., Arslan, A.A., Purdue, M.P., Tinker, L.F., Albanes, D., Ferri, G.M., Habermann, T.M., Adami, H.-O., Becker, N., Benavente, Y., Bisanzi, S., Boffetta, P., Brennan, P., Brooks-Wilson, A.R., Canzian, F., Conde, L., Cox, D.G., Curtin, K., Foretova, L., Gapstur, S.M., Ghesquières, H., Glenn, M., Glimelius, B., Jackson, R.D., Lan, Q., Liebow, M., Maynadie, M., McKay, J., Melbye, M., Miligi, L., Milne, R.L., Molina, T.J., Morton, L.M., North, K.E., Offit, K., Padoan, M., Piro, S., Ravichandran, V., Riboli, E., de Sanjose, S., Severson, R.K., Southey, M.C., Staines, A., Stewart, C., Travis, R.C., Weiderpass, E., Weinstein, S., Zheng, T., Chanock, S.J., Chatterjee, N., Rothman, N., Birmann, B.M., Cerhan, J.R., Berndt, S.I., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2
Subjects: follicular lymphoma, non-Hodgkin lymphoma, polygenic risk score, diffuse large B-celllymphoma, chronic lymphocytic leukemia, genetics, marginal zone lymphoma, height
Abstract: Although the evidence is not consistent, epidemiologic studies have suggested that taller adult height may be associated with an increased risk of some non-Hodgkin lymphoma (NHL) subtypes. Height is largely determined by genetic factors, but how these genetic factors may contribute to NHL risk is unknown. We investigated the relationship between genetic determinants of height and NHL risk using data from eight genome-wide association studies (GWAS) comprising 10,629 NHL cases, including 3,857 diffuse large B-cell lymphoma (DLBCL), 2,847 follicular lymphoma (FL), 3,100 chronic lymphocytic leukemia (CLL), and 825 marginal zone lymphoma (MZL) cases, and 9,505 controls of European ancestry. We evaluated genetically predicted height by constructing polygenic risk scores using 833 height-associated SNPs. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between genetically determined height and the risk of four NHL subtypes in each GWAS and then used fixed-effect meta-analysis to combine subtype results across studies. We found suggestive evidence between taller genetically determined height and increased CLL risk (OR = 1.08, 95% CI = 1.00–1.17, p = 0.049), which was slightly stronger among women (OR = 1.15, 95% CI: 1.01–1.31, p = 0.036). No significant associations were observed with DLBCL, FL, or MZL. Our findings suggest that there may be some shared genetic factors between CLL and height, but other endogenous or environmental factors may underlie reported epidemiologic height associations with other subtypes.
Published: 2020

23. Recommended definitions of aggressive prostate cancer for etiologic epidemiologic research.

Author: 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.
Published: 2020

24. The risk of ovarian cancer increases with an increase in the lifetime number of ovulatory cycles: An analysis from the Ovarian Cancer Cohort Consortium (OC3).

Author: Rohan T.E., Sandler D.P., Schairer C., Schouten L.J., Setiawan V.W., Swerdlow A.J., Travis R.C., Trichopoulou A., Van Den Brandt P.A., Visvanathan K., Wilkens L.R., Wolk A., Zeleniuch-Jacquotte A., Wentzensen N., Trabert B., Tworoger S.S., O'Brien K.M., Townsend M.K., Fortner R.T., Iversen E.S., Hartge P., White E., Amiano P., Arslan A.A., Bernstein L., Brinton L.A., Buring J.E., Dossus L., Fraser G.E., Gaudet M.M., Giles G.G., Gram I.T., Harris H.R., Bolton J.H., Idahl A., Jones M.E., Kaaks R., Kirsh V.A., Knutsen S.F., Kvaskoff M., Lacey J.V., Lee I.-M., Milne R.L., Onland-Moret N.C., Overvad K., Patel A.V., Peters U., Poynter J.N., Riboli E., Robien K., Rohan T.E., Sandler D.P., Schairer C., Schouten L.J., Setiawan V.W., Swerdlow A.J., Travis R.C., Trichopoulou A., Van Den Brandt P.A., Visvanathan K., Wilkens L.R., Wolk A., Zeleniuch-Jacquotte A., Wentzensen N., Trabert B., Tworoger S.S., O'Brien K.M., Townsend M.K., Fortner R.T., Iversen E.S., Hartge P., White E., Amiano P., Arslan A.A., Bernstein L., Brinton L.A., Buring J.E., Dossus L., Fraser G.E., Gaudet M.M., Giles G.G., Gram I.T., Harris H.R., Bolton J.H., Idahl A., Jones M.E., Kaaks R., Kirsh V.A., Knutsen S.F., Kvaskoff M., Lacey J.V., Lee I.-M., Milne R.L., Onland-Moret N.C., Overvad K., Patel A.V., Peters U., Poynter J.N., Riboli E., and Robien K.
Abstract: Repeated exposure to the acute proinflammatory environment that follows ovulation at the ovarian surface and distal fallopian tube over a woman's reproductive years may increase ovarian cancer risk. To address this, analyses included individual-level data from 558,709 naturally menopausal women across 20 prospective cohorts, among whom 3,246 developed invasive epithelial ovarian cancer (2,045 serous, 319 endometrioid, 184 mucinous, 121 clear cell, 577 other/unknown). Cox models were used to estimate multivariable-adjusted HRs between lifetime ovulatory cycles (LOC) and its components and ovarian cancer risk overall and by histotype. Women in the 90th percentile of LOC (>514 cycles) were almost twice as likely to be diagnosed with ovarian cancer than womenin the 10th percentile (<294) [HR (95% confidence interval): 1.92 (1.60-2.30)]. Risk increased 14% per 5-year increase in LOC (60 cycles) [(1.10-1.17)]; this association remained after adjustment for LOC components: number of pregnancies and oral contraceptive use [1.08 (1.04-1.12)]. The association varied by histotype, with increased risk of serous [1.13 (1.09-1.17)], endometrioid [1.20 (1.10-1.32)], and clear cell [1.37 (1.18-1.58)], but not mucinous [0.99 (0.88-1.10), P-heterogeneity = 0.01] tumors. Heterogeneity across histotypes was reduced [P-heterogeneity = 0.15] with adjustment for LOC components [1.08 serous, 1.11 endometrioid, 1.26 clear cell, 0.94 mucinous]. Although the 10-year absolute risk of ovarian cancer is small, it roughly doubles as the number of LOC rises from approximately 300 to 500. The consistency and linearity of effects strongly support the hypothesis that each ovulation leads to small increases in the risk of most ovarian cancers, a risk that cumulates through life, suggesting this as an important area for identifying intervention strategies. Significance: Although ovarian cancer is rare, risk of most ovarian cancers doubles as the number of lifetime ovulatory cycles increases from approx
Published: 2020

25. Circulating Levels of Insulin-like Growth Factor 1 and Insulin-like Growth Factor Binding Protein 3 Associate With Risk of Colorectal Cancer Based on Serologic and Mendelian Randomization Analyses.

Author: English D., Van Guelpen B., Visvanathan K., Vodicka P., Vodickova L., Vymetalkova V., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Peters U., Gunter M.J., Murphy N., Carreras-Torres R., Song M., Chan A.T., Martin R.M., Papadimitriou N., Dimou N., Tsilidis K.K., Banbury B., Bradbury K.E., Besevic J., Rinaldi S., Riboli E., Cross A.J., Travis R.C., Agnoli C., Albanes D., Berndt S.I., Bezieau S., Bishop D.T., Brenner H., Buchanan D.D., Onland-Moret N.C., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chang-Claude J., Chirlaque M.-D., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Gruber S.B., Gsur A., Hampe J., Hampel H., Harrison T.A., Hoffmeister M., Hsu L., Huang W.-Y., Huyghe J.R., Jenkins M.A., Keku T.O., Kuhn T., Kweon S.-S., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Newcomb P.A., Offit K., Ogino S., Ose J., Perduca V., Phipps A.I., Platz E.A., Potter J.D., Qu C., Rennert G., Sakoda L.C., Schafmayer C., Schoen R.E., Slattery M.L., Tangen C.M., Ulrich C.M., van Duijnhoven F.J.B., English D., Van Guelpen B., Visvanathan K., Vodicka P., Vodickova L., Vymetalkova V., Wang H., White E., Wolk A., Woods M.O., Wu A.H., Zheng W., Peters U., Gunter M.J., Murphy N., Carreras-Torres R., Song M., Chan A.T., Martin R.M., Papadimitriou N., Dimou N., Tsilidis K.K., Banbury B., Bradbury K.E., Besevic J., Rinaldi S., Riboli E., Cross A.J., Travis R.C., Agnoli C., Albanes D., Berndt S.I., Bezieau S., Bishop D.T., Brenner H., Buchanan D.D., Onland-Moret N.C., Burnett-Hartman A., Campbell P.T., Casey G., Castellvi-Bel S., Chang-Claude J., Chirlaque M.-D., de la Chapelle A., Figueiredo J.C., Gallinger S.J., Giles G.G., Gruber S.B., Gsur A., Hampe J., Hampel H., Harrison T.A., Hoffmeister M., Hsu L., Huang W.-Y., Huyghe J.R., Jenkins M.A., Keku T.O., Kuhn T., Kweon S.-S., Le Marchand L., Li C.I., Li L., Lindblom A., Martin V., Milne R.L., Moreno V., Newcomb P.A., Offit K., Ogino S., Ose J., Perduca V., Phipps A.I., Platz E.A., Potter J.D., Qu C., Rennert G., Sakoda L.C., Schafmayer C., Schoen R.E., Slattery M.L., Tangen C.M., Ulrich C.M., and van Duijnhoven F.J.B.
Abstract: Background & Aims: Human studies examining associations between circulating levels of insulin-like growth factor 1 (IGF1) and insulin-like growth factor binding protein 3 (IGFBP3) and colorectal cancer risk have reported inconsistent results. We conducted complementary serologic and Mendelian randomization (MR) analyses to determine whether alterations in circulating levels of IGF1 or IGFBP3 are associated with colorectal cancer development. Method(s): Serum levels of IGF1 were measured in blood samples collected from 397,380 participants from the UK Biobank, from 2006 through 2010. Incident cancer cases and cancer cases recorded first in death certificates were identified through linkage to national cancer and death registries. Complete follow-up was available through March 31, 2016. For the MR analyses, we identified genetic variants associated with circulating levels of IGF1 and IGFBP3. The association of these genetic variants with colorectal cancer was examined with 2-sample MR methods using genome-wide association study consortia data (52,865 cases with colorectal cancer and 46,287 individuals without [controls]) Results: After a median follow-up period of 7.1 years, 2665 cases of colorectal cancer were recorded. In a multivariable-adjusted model, circulating level of IGF1 associated with colorectal cancer risk (hazard ratio per 1 standard deviation increment of IGF1, 1.11; 95% confidence interval [CI] 1.05-1.17). Similar associations were found by sex, follow-up time, and tumor subsite. In the MR analyses, a 1 standard deviation increment in IGF1 level, predicted based on genetic factors, was associated with a higher risk of colorectal cancer risk (odds ratio 1.08; 95% CI 1.03-1.12; P = 3.3 x 10-4). Level of IGFBP3, predicted based on genetic factors, was associated with colorectal cancer risk (odds ratio per 1 standard deviation increment, 1.12; 95% CI 1.06-1.18; P = 4.2 x 10-5). Colorectal cancer risk was associated with only 1 variant in the IGFBP3 gene re
Published: 2020

26. An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk

Author: Wu, L. (Lang), Yang, Y. (Yaohua), Guo, X. (Xingyi), Shu, X.-O. (Xiao-Ou), Cai, Q. (Qiuyin), Shu, X. (Xiang), Li, B. (Bingshan), Tao, R. (Ran), Wu, C. (Chong), Nikas, J.B. (Jason B.), Sun, Y. (Yanfa), Zhu, J. (Jingjing), Roobol-Bouts, M.J. (Monique), Giles, G.G. (Graham G.), Brenner, H. (Hermann), John, E.M. (Esther M.), Clements, J. (Judith), Grindedal, E.M. (Eli Marie), Park, J.Y. (Jong Y.), Stanford, J.L. (Janet L.), Kote-Jarai, Z. (Zsofia), Haiman, C.A. (Christopher), Eeles, R.A. (Rosalind A.), Zheng, W. (Wei), Long, J. (Jirong), Henderson, B.E. (Brian E.), Haiman, C.A. (Christopher A.), Kote-Jarai, Z., Schumacher, F.R. (Fredrick R), Easton, D. (Douglas), Benlloch, S. (Sara), Olama, A.A.A. (Ali Amin Al), Muir, K.R. (K.), Berndt, S.I. (Sonja I.), Conti, G. (Giario), Wiklund, F. (Fredrik), Chanock, S.J. (Stephen), Gapstur, S.M. (Susan M.), Stevens, V.L. (Victoria L.), Tangen, C.M. (Catherine M.), Batra, J. (Jyotsna), Grönberg, H. (Henrik), Pashayan, N. (Nora), Schleutker, J. (Johanna), Albanes, D. (Demetrius), Weinstein, S. (Stephanie), Wolk, K. (Kerstin), West, C. (Catharine), Mucci, L. (Lorelei), Cancel-Tassin, G. (Géraldine), Koutros, S. (Stella), Sorensen, K.D. (Karina Dalsgaard), Neal, D. (David), Hamdy, F.C. (Freddie C.), Donovan, J. (Jenny), Travis, R.C. (Ruth C.), Hamilton, R.J. (Robert J.), Ingles, S.A. (Sue), Rosenstein, B.S. (Barry S.), Lu, Y.-J. (Yong-Jie), Kibel, A. (Adam), Vega, A. (Ana), Kogevinas, M. (Manolis), Penney, K.L. (Kathryn L.), Cybulski, C. (Cezary), Nordestgaard, B.G. (Børge), Maier, C. (Christiane), Kim, J. (Jongoh), John, E.M. (Esther), Teixeira, P.J., Floris, O.A.M., De Ruyck, K. (Kim), Razack, A. (Azad), Newcomb, L.F. (Lisa F.), Gamulin, M. (Marija), Kaneva, R. (Radka), Usmani, N. (Nawaid), Claessens, F. (Frank), Townsend, P.A. (Paul A.), Dominguez, M.G. (Manuela Gago), Menegaux, F. (Florence), Khaw, K.-T. (Kay-Tee), Cannon-Albright, L.A. (Lisa), Pandha, H. (Hardev), Thibodeau, S.N. (Stephen), Hunter, D.J. (David), Blot, W.J. (William), Riboli, E. (Elio), Eeles, R. (Rosalind), Neal, D.E. (David E.), Hamdy, F. (Freddie), Donovan, J.L. (Jenny L.), Schumacher, F.R. (Fredrick R.), Berndt, S.I. (Sonja), Chanock, S. (Stephen), Travis, S.P.L. (Simon), Hunter, D.J. (David J.), Gronberg, H. (Henrik), Wu, L. (Lang), Yang, Y. (Yaohua), Guo, X. (Xingyi), Shu, X.-O. (Xiao-Ou), Cai, Q. (Qiuyin), Shu, X. (Xiang), Li, B. (Bingshan), Tao, R. (Ran), Wu, C. (Chong), Nikas, J.B. (Jason B.), Sun, Y. (Yanfa), Zhu, J. (Jingjing), Roobol-Bouts, M.J. (Monique), Giles, G.G. (Graham G.), Brenner, H. (Hermann), John, E.M. (Esther M.), Clements, J. (Judith), Grindedal, E.M. (Eli Marie), Park, J.Y. (Jong Y.), Stanford, J.L. (Janet L.), Kote-Jarai, Z. (Zsofia), Haiman, C.A. (Christopher), Eeles, R.A. (Rosalind A.), Zheng, W. (Wei), Long, J. (Jirong), Henderson, B.E. (Brian E.), Haiman, C.A. (Christopher A.), Kote-Jarai, Z., Schumacher, F.R. (Fredrick R), Easton, D. (Douglas), Benlloch, S. (Sara), Olama, A.A.A. (Ali Amin Al), Muir, K.R. (K.), Berndt, S.I. (Sonja I.), Conti, G. (Giario), Wiklund, F. (Fredrik), Chanock, S.J. (Stephen), Gapstur, S.M. (Susan M.), Stevens, V.L. (Victoria L.), Tangen, C.M. (Catherine M.), Batra, J. (Jyotsna), Grönberg, H. (Henrik), Pashayan, N. (Nora), Schleutker, J. (Johanna), Albanes, D. (Demetrius), Weinstein, S. (Stephanie), Wolk, K. (Kerstin), West, C. (Catharine), Mucci, L. (Lorelei), Cancel-Tassin, G. (Géraldine), Koutros, S. (Stella), Sorensen, K.D. (Karina Dalsgaard), Neal, D. (David), Hamdy, F.C. (Freddie C.), Donovan, J. (Jenny), Travis, R.C. (Ruth C.), Hamilton, R.J. (Robert J.), Ingles, S.A. (Sue), Rosenstein, B.S. (Barry S.), Lu, Y.-J. (Yong-Jie), Kibel, A. (Adam), Vega, A. (Ana), Kogevinas, M. (Manolis), Penney, K.L. (Kathryn L.), Cybulski, C. (Cezary), Nordestgaard, B.G. (Børge), Maier, C. (Christiane), Kim, J. (Jongoh), John, E.M. (Esther), Teixeira, P.J., Floris, O.A.M., De Ruyck, K. (Kim), Razack, A. (Azad), Newcomb, L.F. (Lisa F.), Gamulin, M. (Marija), Kaneva, R. (Radka), Usmani, N. (Nawaid), Claessens, F. (Frank), Townsend, P.A. (Paul A.), Dominguez, M.G. (Manuela Gago), Menegaux, F. (Florence), Khaw, K.-T. (Kay-Tee), Cannon-Albright, L.A. (Lisa), Pandha, H. (Hardev), Thibodeau, S.N. (Stephen), Hunter, D.J. (David), Blot, W.J. (William), Riboli, E. (Elio), Eeles, R. (Rosalind), Neal, D.E. (David E.), Hamdy, F. (Freddie), Donovan, J.L. (Jenny L.), Schumacher, F.R. (Fredrick R.), Berndt, S.I. (Sonja), Chanock, S. (Stephen), Travis, S.P.L. (Simon), Hunter, D.J. (David J.), and Gronberg, H. (Henrik)
Abstract: It remains elusive whether some of the associations identified in genome-wide association studies of prostate cancer (PrCa) may be due to regulatory effects of genetic variants on CpG sites, which may further influence expression of PrCa target genes. To search for CpG
Published: 2020
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27. Genetically Determined Height and Risk of Non-hodgkin Lymphoma

Author: IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Moore, A., Kane, E., Panagiotou, O.A., Teras, L.R., Monnereau, A., Wong Doo, N., Machiela, M.J., Skibola, C.F., Slager, S.L., Salles, G., Camp, N.J., Bracci, P.M., Nieters, A., Vermeulen, R.C.H., Vijai, J., Smedby, K.E., Vajdic, C.M., Cozen, W., Spinelli, J.J., Hjalgrim, H., Giles, G.G., Link, B.K., Clavel, J., Arslan, A.A., Purdue, M.P., Tinker, L.F., Albanes, D., Ferri, G.M., Habermann, T.M., Adami, H.-O., Becker, N., Benavente, Y., Bisanzi, S., Boffetta, P., Brennan, P., Brooks-Wilson, A.R., Canzian, F., Conde, L., Cox, D.G., Curtin, K., Foretova, L., Gapstur, S.M., Ghesquières, H., Glenn, M., Glimelius, B., Jackson, R.D., Lan, Q., Liebow, M., Maynadie, M., McKay, J., Melbye, M., Miligi, L., Milne, R.L., Molina, T.J., Morton, L.M., North, K.E., Offit, K., Padoan, M., Piro, S., Ravichandran, V., Riboli, E., de Sanjose, S., Severson, R.K., Southey, M.C., Staines, A., Stewart, C., Travis, R.C., Weiderpass, E., Weinstein, S., Zheng, T., Chanock, S.J., Chatterjee, N., Rothman, N., Birmann, B.M., Cerhan, J.R., Berndt, S.I., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Moore, A., Kane, E., Panagiotou, O.A., Teras, L.R., Monnereau, A., Wong Doo, N., Machiela, M.J., Skibola, C.F., Slager, S.L., Salles, G., Camp, N.J., Bracci, P.M., Nieters, A., Vermeulen, R.C.H., Vijai, J., Smedby, K.E., Vajdic, C.M., Cozen, W., Spinelli, J.J., Hjalgrim, H., Giles, G.G., Link, B.K., Clavel, J., Arslan, A.A., Purdue, M.P., Tinker, L.F., Albanes, D., Ferri, G.M., Habermann, T.M., Adami, H.-O., Becker, N., Benavente, Y., Bisanzi, S., Boffetta, P., Brennan, P., Brooks-Wilson, A.R., Canzian, F., Conde, L., Cox, D.G., Curtin, K., Foretova, L., Gapstur, S.M., Ghesquières, H., Glenn, M., Glimelius, B., Jackson, R.D., Lan, Q., Liebow, M., Maynadie, M., McKay, J., Melbye, M., Miligi, L., Milne, R.L., Molina, T.J., Morton, L.M., North, K.E., Offit, K., Padoan, M., Piro, S., Ravichandran, V., Riboli, E., de Sanjose, S., Severson, R.K., Southey, M.C., Staines, A., Stewart, C., Travis, R.C., Weiderpass, E., Weinstein, S., Zheng, T., Chanock, S.J., Chatterjee, N., Rothman, N., Birmann, B.M., Cerhan, J.R., and Berndt, S.I.
Published: 2020

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

Author: 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
Published: 2020
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29. Association between macronutrients and fibre with circulating Insulin-Like Growth Factor-I in the UK Biobank

Author: 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
Published: 2020
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30. Sleep duration and breast cancer incidence: results from the million women study and a meta-analysis of published prospective studies

Author: Wong, A.T.Y., primary, Heath, A.K., additional, Reeves, G.K., additional, Floud, S., additional, Beral, V., additional, and Travis, R.C., additional
Published: 2019
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31. Shared heritability and functional enrichment across six solid cancers (vol 10, 431, 2019)

Author: Jiang, X., Finucane, H.K., Schumacher, F.R., Schmit, S.L., Tyrer, J.P., Han, Y., Michailidou, K., Lesseur, C., Kuchenbaecker, K.B., Dennis, J., Conti, D.V., Casey, G., Gaudet, M.M., Huyghe, J.R., Albanes, D., Aldrich, M.C., Andrew, A.S., Andrulis, I.L., Anton-Culver, H., Antoniou, A.C., Antonenkova, N.N., Arnold, S.M., Aronson, K.J., Arun, B.K., Bandera, E.V., Barkardottir, R.B., Barnes, D.R., Batra, J., Beckmann, M.W., Benitez, J., Benlloch, S., Berchuck, A., Berndt, S.I., Bickeboller, H., Bien, S.A., Blomqvist, C., Boccia, S., Bogdanova, N.V., Bojesen, S.E., Bolla, M.K., Brauch, H., Brenner, H., Brenton, J.D., Brook, M.N., Brunet, J., Brunnstrom, H., Buchanan, D.D., Burwinkel, B., Butzow, R., Cadoni, G., Caldes, T., Caligo, M.A., Campbell, I., Campbell, P.T., Cancel-Tassin, G., Cannon-Albright, L., Campa, D., Caporaso, N., Carvalho, A.L., Chan, A.T., Chang-Claude, J., Chanock, S.J., Chen, C., Christiani, D.C., Claes, K.B.M., Claessens, F., Clements, J., Collee, J.M., Correa, M.C., Couch, F.J., Cox, A., Cunningham, J.M., Cybulski, C., Czene, K., Daly, M.B., deFazio, A., Devilee, P., Diez, O., Gago-Dominguez, M., Donovan, J.L., Dork, T., Duell, E.J., Dunning, A.M., Dwek, M., Eccles, D.M., Edlund, C.K., Edwards, D.R.V., Ellberg, C., Evans, D.G., Fasching, P.A., Ferris, R.L., Liloglou, T., Figueiredo, J.C., Fletcher, O., Fortner, R.T., Fostira, F., Franceschi, S., Friedman, E., Gallinger, S.J., Ganz, P.A., Garber, J., Garcia-Saenz, J.A., Gayther, S.A., Giles, G.G., Godwin, A.K., Goldberg, M.S., Goldgar, D.E., Goode, E.L., Goodman, M.T., Goodman, G., Grankvist, K., Greene, M.H., Gronberg, H., Gronwald, J., Guenel, P., Hakansson, N., Hall, P., Hamann, U., Hamdy, F.C., Hamilton, R.J., Hampe, J., Haugen, A., Heitz, F., Herrero, R., Hillemanns, P., Hoffmeister, M., Hogdall, E., Hong, Y.C., Hopper, J.L., Houlston, R., Hulick, P.J., Hunter, D.J., Huntsman, D.G., Idos, G., Imyanitov, E.N., Ingles, S.A., Isaacs, C., Jakubowska, A., James, P., Jenkins, M.A., Johansson, M., John, E.M., Joshi, A.D., Kaneva, R., Karlan, B.Y., Kelemen, L.E., Kuhl, T., Khaw, K.T., Khusnutdinova, E., Kibel, A.S., Kiemeney, L.A., Kim, J., Kjaer, S.K., Knight, J.A., Kogevinas, M., Kote-Jarai, Z., Koutros, S., Kristensen, V.N., Kupryjanczyk, J., Lacko, M., Lam, S., Lambrechts, D., Landi, M.T., Lazarus, P., N.D. le, Lee, E., Lejbkowicz, F., Lenz, H.J., Leslie, G., Lessel, D., Lester, J., Levine, D.A., Li, L., Li, C.I., Lindblom, A., Lindor, N.M., Liu, G., Loupakis, F., Lubinski, J., Maehle, L., Maier, C., Mannermaa, A., Marchand, L., Margolin, S., May, T., McGuffog, L., Meindl, A., Middha, P., Miller, A., Milne, R.L., MacInnis, R.J., Modugno, F., Montagna, M., Moreno, V., Moysich, K.B., Mucci, L., Muir, K., Mulligan, A.M., Nathanson, K.L., Neal, D.E., Ness, A.R., Neuhausen, S.L., Nevanlinna, H., Newcomb, P.A., Newcomb, L.F., Nielsen, F.C., Nikitina-Zake, L., Nordestgaard, B.G., Nussbaum, R.L., Offit, K., Olah, E., Olama, A.A. al, Olopade, O.I., Olshan, A.F., Olsson, H., Osorio, A., Pandha, H., Park, J.Y., Pashayan, N., Parsons, M.T., Pejovic, T., Penney, K.L., Peters, W.H.M., Phelan, C.M., Phipps, A.I., Plaseska-Karanfilska, D., Pring, M., Prokofyeva, D., Radice, P., Stefansson, K., Ramus, S.J., Raskin, L., Rennert, G., Rennert, H.S., Rensburg, E.J., Riggan, M.J., Risch, H.A., Risch, A., Roobol, M.J., Rosenstein, B.S., Rossing, M.A., Ruyck, K., Saloustros, E., Sandler, D.P., Sawyer, E.J., Schabath, M.B., Schleutker, J., Schmidt, M.K., Setiawan, V.W., Shen, H.B., Siegel, E.M., Sieh, W., Singer, C.F., Slattery, M.L., Sorensen, K.D., Southey, M.C., Spurdle, A.B., Stanford, J.L., Stevens, V.L., Stintzing, S., Stone, J., Sundfeldt, K., Sutphen, R., Swerdlow, A.J., Tajara, E.H., Tangen, C.M., Tardon, A., Taylor, J.A., Teare, M.D., Teixeira, M.R., Terry, M.B., Terry, K.L., Thibodeau, S.N., Thomassen, M., Bjorge, L., Tischkowitz, M., Toland, A.E., Torres, D., Townsend, P.A., Travis, R.C., Tung, N., and Tworoger
Published: 2019

32. Haem iron intake and risk of lung cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

Author: Ward, H.A. Whitman, J. Muller, D.C. Johansson, M. Jakszyn, P. Weiderpass, E. Palli, D. Fanidi, A. Vermeulen, R. Tjønneland, A. Hansen, L. Dahm, C.C. Overvad, K. Severi, G. Boutron-Ruault, M.-C. Affret, A. Kaaks, R. Fortner, R. Boeing, H. Trichopoulou, A. La Vecchia, C. Kotanidou, A. Berrino, F. Krogh, V. Tumino, R. Ricceri, F. Panico, S. Bueno-de-Mesquita, H.B. Peeters, P.H. Nøst, T.H. Sandanger, T.M. Quirós, J.R. Agudo, A. Rodríguez-Barranco, M. Larrañaga, N. Huerta, J.M. Ardanaz, E. Drake, I. Brunnström, H. Johansson, M. Grankvist, K. Travis, R.C. Freisling, H. Stepien, M. Merritt, M.A. Riboli, E. Cross, A.J.
Abstract: Background: Epidemiological studies suggest that haem iron, which is found predominantly in red meat and increases endogenous formation of carcinogenic N-nitroso compounds, may be positively associated with lung cancer. The objective was to examine the relationship between haem iron intake and lung cancer risk using detailed smoking history data and serum cotinine to control for potential confounding. Methods: In the European Prospective Investigation into Cancer and Nutrition (EPIC), 416,746 individuals from 10 countries completed demographic and dietary questionnaires at recruitment. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for incident lung cancer (n = 3731) risk relative to haem iron, non-haem iron, and total dietary iron intake. A corresponding analysis was conducted among a nested subset of 800 lung cancer cases and 1489 matched controls for whom serum cotinine was available. Results: Haem iron was associated with lung cancer risk, including after adjustment for details of smoking history (time since quitting, number of cigarettes per day): as a continuous variable (HR per 0.3 mg/1000 kcal 1.03, 95% CI 1.00–1.07), and in the highest versus lowest quintile (HR 1.16, 95% CI 1.02–1.32; trend across quintiles: P = 0.035). In contrast, non-haem iron intake was related inversely with lung cancer risk; however, this association attenuated after adjustment for smoking history. Additional adjustment for serum cotinine did not considerably alter the associations detected in the nested case–control subset. Conclusions: Greater haem iron intake may be modestly associated with lung cancer risk. © 2018, Springer Nature Limited.
Published: 2019

33. Reproductive and Lifestyle Factors and Circulating sRANKL and OPG Concentrations in Women: Results from the EPIC Cohort

Author: Sarink, D. Yang, J. Johnson, T. Chang-Claude, J. Overvad, K. Olsen, A. Tjønneland, A. Fournier, A. Mancini, F.R. Kvaskoff, M. Boeing, H. Trichopoulou, A. Karakatsani, A. Valanou, E. Agnoli, C. Sacerdote, C. Masala, G. Mattiello, A. Tumino, R. Van Gils, C.H. Skeie, G. Gram, I.T. Weiderpass, E. Lujan-Barroso, L. Petrova, D. Santiuste, C. Quirós, J.R. Barricarte, A. Amiano, P. Travis, R.C. Gunter, M. Dossus, L. Christakoudi, S. Kaaks, R. Fortner, R.T.
Subjects: musculoskeletal diseases
Abstract: Background: Except for a documented increase in osteoprotegerin (OPG) concentrations with older age, data on determinants of soluble Receptor Activator of Nuclear Factor kB (sRANKL) and OPG concentrations in women are limited. We evaluated reproductive and lifestyle factors as potential sources of variation in circulating sRANKL and OPG concentrations in pre- and postmenopausal women. Methods: This study includes 2,016 controls [n = 1,552 (76%) postmenopausal, n = 757 (38%) using postmenopausal hormone therapy (PMH)] from a breast cancer case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Serum sRANKL was measured using an ELISA and serum OPG using an electrochemiluminescent assay. Generalized linear models were used to evaluate associations between these analytes and reproductive and lifestyle factors. Results: Older age at blood collection was associated with lower sRANKL concentrations in postmenopausal women (Ptrend < 0.03) and higher OPG concentrations in all women (Ptrend < 0.01). Longer duration of oral contraceptive use among premenopausal women and postmenopausal PMH users was associated with higher OPG (Ptrend < 0.04). In postmenopausal non-PMH users, sRANKL concentrations were lower with longer duration of oral contraceptive use and current (vs. never) smoking (P < 0.01). sRANKL concentrations were higher among women with higher BMI (Ptrend < 0.01). The evaluated factors accounted for 12% of the variation in sRANKL concentrations and 21% of the variation in OPG concentrations. Conclusions: Circulating sRANKL and OPG concentrations are minimally impacted by hormone-related factors in pre- and postmenopausal women. Impact: This study suggests circulating concentrations of sRANKL and OPG are unlikely to be strongly modified by hormone-related reproductive and lifestyle factors. © 2019 American Association for Cancer Research.
Published: 2019

34. Prospective analysis of circulating metabolites and breast cancer in EPIC

Author: His, M. Viallon, V. Dossus, L. Gicquiau, A. Achaintre, D. Scalbert, A. Ferrari, P. Romieu, I. Onland-Moret, N.C. Weiderpass, E. Dahm, C.C. Overvad, K. Olsen, A. Tjønneland, A. Fournier, A. Rothwell, J.A. Severi, G. Kühn, T. Fortner, R.T. Boeing, H. Trichopoulou, A. Karakatsani, A. Martimianaki, G. Masala, G. Sieri, S. Tumino, R. Vineis, P. Panico, S. Van Gils, C.H. Nøst, T.H. Sandanger, T.M. Skeie, G. Quirós, J.R. Agudo, A. Sánchez, M.-J. Amiano, P. Huerta, J.M. Ardanaz, E. Schmidt, J.A. Travis, R.C. Riboli, E. Tsilidis, K.K. Christakoudi, S. Gunter, M.J. Rinaldi, S.
Abstract: Background: Metabolomics is a promising molecular tool to identify novel etiologic pathways leading to cancer. Using a targeted approach, we prospectively investigated the associations between metabolite concentrations in plasma and breast cancer risk. Methods: A nested case-control study was established within the European Prospective Investigation into Cancer cohort, which included 1624 first primary incident invasive breast cancer cases (with known estrogen and progesterone receptor and HER2 status) and 1624 matched controls. Metabolites (n = 127, acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, sphingolipids) were measured by mass spectrometry in pre-diagnostic plasma samples and tested for associations with breast cancer incidence using multivariable conditional logistic regression. Results: Among women not using hormones at baseline (n = 2248), and after control for multiple tests, concentrations of arginine (odds ratio [OR] per SD = 0.79, 95% confidence interval [CI] = 0.70-0.90), asparagine (OR = 0.83 (0.74-0.92)), and phosphatidylcholines (PCs) ae C36:3 (OR = 0.83 (0.76-0.90)), aa C36:3 (OR = 0.84 (0.77-0.93)), ae C34:2 (OR = 0.85 (0.78-0.94)), ae C36:2 (OR = 0.85 (0.78-0.88)), and ae C38:2 (OR = 0.84 (0.76-0.93)) were inversely associated with breast cancer risk, while the acylcarnitine C2 (OR = 1.23 (1.11-1.35)) was positively associated with disease risk. In the overall population, C2 (OR = 1.15 (1.06-1.24)) and PC ae C36:3 (OR = 0.88 (0.82-0.95)) were associated with risk of breast cancer, and these relationships did not differ by breast cancer subtype, age at diagnosis, fasting status, menopausal status, or adiposity. Conclusions: These findings point to potentially novel pathways and biomarkers of breast cancer development. Results warrant replication in other epidemiological studies. © 2019 The Author(s).
Published: 2019

35. Circulating insulin-like growth factor I in relation to melanoma risk in the European prospective investigation into cancer and nutrition

Author: 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.
Published: 2019

36. CA19-9 and apolipoprotein-A2 isoforms as detection markers for pancreatic cancer: a prospective evaluation

Author: Honda, K. Katzke, V.A. Hüsing, A. Okaya, S. Shoji, H. Onidani, K. Olsen, A. Tjønneland, A. Overvad, K. Weiderpass, E. Vineis, P. Muller, D. Tsilidis, K. Palli, D. Pala, V. Tumino, R. Naccarati, A. Panico, S. Aleksandrova, K. Boeing, H. Bueno-de-Mesquita, H.B. Peeters, P.H. Trichopoulou, A. Lagiou, P. Khaw, K.-T. Wareham, N. Travis, R.C. Merino, S. Duell, E.J. Rodríguez-Barranco, M. Chirlaque, M.D. Barricarte, A. Rebours, V. Boutron-Ruault, M.-C. Romana Mancini, F. Brennan, P. Scelo, G. Manjer, J. Sund, M. Öhlund, D. Canzian, F. Kaaks, R.
Subjects: digestive system diseases
Abstract: Recently, we identified unique processing patterns of apolipoprotein A2 (ApoA2) in patients with pancreatic cancer. Our study provides a first prospective evaluation of an ApoA2 isoform (“ApoA2-ATQ/AT”), alone and in combination with carbohydrate antigen 19–9 (CA19-9), as an early detection biomarker for pancreatic cancer. We performed ELISA measurements of CA19-9 and ApoA2-ATQ/AT in 156 patients with pancreatic cancer and 217 matched controls within the European EPIC cohort, using plasma samples collected up to 60 months prior to diagnosis. The detection discrimination statistics were calculated for risk scores by strata of lag-time. For CA19-9, in univariate marker analyses, C-statistics to distinguish future pancreatic cancer patients from cancer-free individuals were 0.80 for plasma taken ≤6 months before diagnosis, and 0.71 for >6–18 months; for ApoA2-ATQ/AT, C-statistics were 0.62, and 0.65, respectively. Joint models based on ApoA2-ATQ/AT plus CA19-9 significantly improved discrimination within >6–18 months (C = 0.74 vs. 0.71 for CA19-9 alone, p = 0.022) and ≤ 18 months (C = 0.75 vs. 0.74, p = 0.022). At 98% specificity, and for lag times of ≤6, >6–18 or ≤ 18 months, sensitivities were 57%, 36% and 43% for CA19-9 combined with ApoA2-ATQ/AT, respectively, vs. 50%, 29% and 36% for CA19-9 alone. Compared to CA19-9 alone, the combination of CA19-9 and ApoA2-ATQ/AT may improve detection of pancreatic cancer up to 18 months prior to diagnosis under usual care, and may provide a useful first measure for pancreatic cancer detection prior to imaging. © 2018 UICC
Published: 2019

37. 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: 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.
Published: 2019

38. Germline variation at 8q24 and prostate cancer risk in men of European ancestry.

Author: 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).
Published: 2019

39. Shared heritability and functional enrichment across six solid cancers.

Author: Fletcher O., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., Wu A.H., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., Tangen C.M., Fletcher O., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., Wu A.H., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., and Tangen C.M.
Abstract: Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 x 10-8), breast and ovarian cancer (rg = 0.24, p = 7 x 10-5), breast and lung cancer (rg = 0.18, p =1.5 x 10-6) and breast and colorectal cancer (rg = 0.15, p = 1.1 x 10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.Copyright © 2019, The Author(s).
Published: 2019

40. Publisher Correction: Shared heritability and functional enrichment across six solid cancers (Nature Communications, (2019), 10, 1, (431), 10.1038/s41467-018-08054-4).

Author: Tangen C.M., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fletcher O., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., Wu A.H., Tangen C.M., Wu X., Yannoukakos D., Zheng W., Zienolddiny S., Ziogas A., Zorn K.K., Lane J.M., Saxena R., Thomas D., Hung R.J., Diergaarde B., McKay J., Peters U., Hsu L., Garcia-Closas M., Eeles R.A., Chenevix-Trench G., Brennan P.J., Haiman C.A., Simard J., Easton D.F., Gruber S.B., Pharoah P.D.P., Price A.L., Pasaniuc B., Amos C.I., Kraft P., Lindstrom S., Chen C., Jiang X., Finucane H.K., Schumacher F.R., Schmit S.L., Tyrer J.P., Han Y., Michailidou K., Lesseur C., Kuchenbaecker K.B., Dennis J., Conti D.V., Casey G., Gaudet M.M., Huyghe J.R., Albanes D., Aldrich M.C., Andrew A.S., Andrulis I.L., Anton-Culver H., Antoniou A.C., Antonenkova N.N., Arnold S.M., Aronson K.J., Arun B.K., Bandera E.V., Barkardottir R.B., Barnes D.R., Batra J., Beckmann M.W., Benitez J., Benlloch S., Berchuck A., Berndt S.I., Bickeboller H., Bien S.A., Blomqvist C., Boccia S., Bogdanova N.V., Bojesen S.E., Bolla M.K., Brauch H., Brenner H., Brenton J.D., Brook M.N., Brunet J., Brunnstrom H., Buchanan D.D., Burwinkel B., Butzow R., Cadoni G., Caldes T., Caligo M.A., Campbell I., Campbell P.T., Cancel-Tassin G., Cannon-Albright L., Campa D., Caporaso N., Carvalho A.L., Chan A.T., Chang-Claude J., Chanock S.J., Christiani D.C., Claes K.B.M., Claessens F., Clements J., Collee J.M., Correa M.C., Couch F.J., Cox A., Cunningham J.M., Cybulski C., Czene K., Daly M.B., deFazio A., Devilee P., Diez O., Gago-Dominguez M., Donovan J.L., Dork T., Duell E.J., Dunning A.M., Dwek M., Eccles D.M., Edlund C.K., Edwards D.R.V., Ellberg C., Evans D.G., Fasching P.A., Ferris R.L., Liloglou T., Figueiredo J.C., Fletcher O., Fortner R.T., Fostira F., Franceschi S., Friedman E., Gallinger S.J., Ganz P.A., Garber J., Garcia-Saenz J.A., Gayther S.A., Giles G.G., Godwin A.K., Goldberg M.S., Goldgar D.E., Goode E.L., Goodman M.T., Goodman G., Grankvist K., Greene M.H., Gronberg H., Gronwald J., Guenel P., Hakansson N., Hall P., Hamann U., Hamdy F.C., Hamilton R.J., Hampe J., Haugen A., Heitz F., Herrero R., Hillemanns P., Hoffmeister M., Hogdall E., Hong Y.-C., Hopper J.L., Houlston R., Hulick P.J., Hunter D.J., Huntsman D.G., Idos G., Imyanitov E.N., Ingles S.A., Isaacs C., Jakubowska A., James P., Jenkins M.A., Johansson M., John E.M., Joshi A.D., Kaneva R., Karlan B.Y., Kelemen L.E., Kuhl T., Khaw K.-T., Khusnutdinova E., Kibel A.S., Kiemeney L.A., Kim J., Kjaer S.K., Knight J.A., Kogevinas M., Kote-Jarai Z., Koutros S., Kristensen V.N., Kupryjanczyk J., Lacko M., Lam S., Lambrechts D., Landi M.T., Lazarus P., Le N.D., Lee E., Lejbkowicz F., Lenz H.-J., Leslie G., Lessel D., Lester J., Levine D.A., Li L., Li C.I., Lindblom A., Lindor N.M., Liu G., Loupakis F., Lubinski J., Maehle L., Maier C., Mannermaa A., Marchand L.L., Margolin S., May T., McGuffog L., Meindl A., Middha P., Miller A., Milne R.L., MacInnis R.J., Modugno F., Montagna M., Moreno V., Moysich K.B., Mucci L., Muir K., Mulligan A.M., Nathanson K.L., Neal D.E., Ness A.R., Neuhausen S.L., Nevanlinna H., Newcomb P.A., Newcomb L.F., Nielsen F.C., Nikitina-Zake L., Nordestgaard B.G., Nussbaum R.L., Offit K., Olah E., Olama A.A.A., Olopade O.I., Olshan A.F., Olsson H., Osorio A., Pandha H., Park J.Y., Pashayan N., Parsons M.T., Pejovic T., Penney K.L., Peters W.H.M., Phelan C.M., Phipps A.I., Plaseska-Karanfilska D., Pring M., Prokofyeva D., Radice P., Stefansson K., Ramus S.J., Raskin L., Rennert G., Rennert H.S., van Rensburg E.J., Riggan M.J., Risch H.A., Risch A., Roobol M.J., Rosenstein B.S., Rossing M.A., De Ruyck K., Saloustros E., Sandler D.P., Sawyer E.J., Schabath M.B., Schleutker J., Schmidt M.K., Setiawan V.W., Shen H., Siegel E.M., Sieh W., Singer C.F., Slattery M.L., Sorensen K.D., Southey M.C., Spurdle A.B., Stanford J.L., Stevens V.L., Stintzing S., Stone J., Sundfeldt K., Sutphen R., Swerdlow A.J., Tajara E.H., Tardon A., Taylor J.A., Teare M.D., Teixeira M.R., Terry M.B., Terry K.L., Thibodeau S.N., Thomassen M., Bjorge L., Tischkowitz M., Toland A.E., Torres D., Townsend P.A., Travis R.C., Tung N., Tworoger S.S., Ulrich C.M., Usmani N., Vachon C.M., Van Nieuwenhuysen E., Vega A., Aguado-Barrera M.E., Wang Q., Webb P.M., Weinberg C.R., Weinstein S., Weissler M.C., Weitzel J.N., West C.M.L., White E., Whittemore A.S., Wichmann H.-E., Wiklund F., Winqvist R., Wolk A., Woll P., Woods M., and Wu A.H.
Published: 2019

41. 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

42. 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

43. Bromodomain protein 4 discriminates tissue-specific super-enhancers containing disease-specific susceptibility loci in prostate and breast cancer

Author: Zuber, V., Bettella, F., Witoelar, A.W., Andreassen, O.A., Mills, I.G., Urbanucci, A., Eeles, R.A., Easton, D.F., Kote-Jarai, Z., Al Olama, A.A., Benlloch, S., Muir, K., Giles, G.G., Wiklund, F., Grönberg, H., Haiman, C.A., Schleutker, J., Weischer, M., Travis, R.C., Neal, D., Pharoah, P., Khaw, K.T., Stanford, J.L., Blot, W.J., Thibodeau, S.N., Maier, C., Kibel, A.S., Cybulski, C., Cannon-Albright, L., Brenner, H., Park, J., Kaneva, R., Batra, J., Teixeira, M.R., Pandha, H., Chenevix-Trench, G., Humphreys, M.K., Hung, R.J., Han, Y., Brennan, P., Bickeböller, H., Rosenberger, A., Houlston, R.S., Caporaso, N., Landi, M.T., Heinrich, J., Risch, A., Wu, X., Ye, Y., Christiani, D.C., Amos, C.I., Michailidou, K., Bolla, M.K., Wang, Q., Berchuck, A., Antoniou, A.C., McGuffog, L., Couch, F.J., Offit, K., Dennis, J., Dunning, A.M., Lee, A., Dicks, E., Luccarini, C., Benítez, J., González-Neira, A., Simard, J., Tessier, D.C., Bacot, F., Vincent, D., Laboissiere, S., and Wrightson, R
Subjects: Male, Quantitative Trait Loci, Breast Neoplasms, Cell Cycle Proteins, Brd4, Breast Cancer Risk, Chromatin, Functional Annotation, Genome-wide Association Studies, Prostate Cancer Risk, Risk Loci, Schizophrenia, Snps, Super-enhancer, Genome-wide association studies, Polymorphism, Single Nucleotide, Epigenesis, Genetic, Histones, breast cancer risk, SDG 3 - Good Health and Well-being, super-enhancer, Genetics, Journal Article, Humans, Genetic Predisposition to Disease, Risk loci, Binding Sites, Chromosome Mapping, Computational Biology, Nuclear Proteins, Prostatic Neoplasms, Functional annotation, Prostate cancer risk, schizophrenia, Gene Expression Regulation, Neoplastic, Enhancer Elements, Genetic, Organ Specificity, Receptors, Androgen, BRD4, Female, Research Article, SNPs, Genome-Wide Association Study, Protein Binding, Transcription Factors, Biotechnology
Abstract: Background Epigenetic information can be used to identify clinically relevant genomic variants single nucleotide polymorphisms (SNPs) of functional importance in cancer development. Super-enhancers are cell-specific DNA elements, acting to determine tissue or cell identity and driving tumor progression. Although previous approaches have been tried to explain risk associated with SNPs in regulatory DNA elements, so far epigenetic readers such as bromodomain containing protein 4 (BRD4) and super-enhancers have not been used to annotate SNPs. In prostate cancer (PC), androgen receptor (AR) binding sites to chromatin have been used to inform functional annotations of SNPs. Results Here we establish criteria for enhancer mapping which are applicable to other diseases and traits to achieve the optimal tissue-specific enrichment of PC risk SNPs. We used stratified Q-Q plots and Fisher test to assess the differential enrichment of SNPs mapping to specific categories of enhancers. We find that BRD4 is the key discriminant of tissue-specific enhancers, showing that it is more powerful than AR binding information to capture PC specific risk loci, and can be used with similar effect in breast cancer (BC) and applied to other diseases such as schizophrenia. Conclusions This is the first study to evaluate the enrichment of epigenetic readers in genome-wide associations studies for SNPs within enhancers, and provides a powerful tool for enriching and prioritizing PC and BC genetic risk loci. Our study represents a proof of principle applicable to other diseases and traits that can be used to redefine molecular mechanisms of human phenotypic variation. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3620-y) contains supplementary material, which is available to authorized users.
Published: 2018

44. Ovarian cancer early detection by circulating CA125 in the context of anti-CA125 autoantibody levels: Results from the EPIC cohort

Author: Fortner, R.T. Schock, H. Le Cornet, C. Hüsing, A. Vitonis, A.F. Johnson, T.S. Fichorova, R.N. Fashemi, T. Yamamoto, H.S. Tjønneland, A. Hansen, L. Overvad, K. Boutron-Ruault, M.-C. Kvaskoff, M. Severi, G. Boeing, H. Trichopoulou, A. Papatesta, E.-M. La Vecchia, C. Palli, D. Sieri, S. Tumino, R. Sacerdote, C. Mattiello, A. Onland-Moret, N.C. Peeters, P.H. Bueno-de-Mesquita, H.B. Weiderpass, E. Quirós, J.R. Duell, E.J. Sánchez, M.-J. Navarro, C. Ardanaz, E. Larrañaga, N. Nodin, B. Jirström, K. Idahl, A. Lundin, E. Khaw, K.-T. Travis, R.C. Gunter, M. Johansson, M. Dossus, L. Merritt, M.A. Riboli, E. Terry, K.L. Cramer, D.W. Kaaks, R.
Subjects: endocrine system diseases, female genital diseases and pregnancy complications
Abstract: CA125 is the best ovarian cancer early detection marker to date; however, sensitivity is limited and complementary markers are required to improve discrimination between ovarian cancer cases and non-cases. Anti-CA125 autoantibodies are observed in circulation. Our objective was to evaluate whether these antibodies (1) can serve as early detection markers, providing evidence of an immune response to a developing tumor, and (2) modify the discriminatory capacity of CA125 by either masking CA125 levels (resulting in lower discrimination) or acting synergistically to improve discrimination between cases and non-cases. We investigated these objectives using a nested case–control study within the European Prospective Investigation into Cancer and Nutrition cohort (EPIC) including 250 cases diagnosed within 4 years of blood collection and up to four matched controls. Circulating CA125 antigen and antibody levels were quantified using an electrochemiluminescence assay. Adjusted areas under the curve (aAUCs) by 2-year lag-time intervals were calculated using conditional logistic regression calibrated toward the absolute risk estimates from a pre-existing epidemiological risk model as an offset-variable. Anti-CA125 levels alone did not discriminate cases from controls. For cases diagnosed
Published: 2018

45. Anti-CA15.3 and Anti-CA125 Antibodies and ovarian cancer risk: Results from the EPIC cohort

Author: Cramer, D.W. Fichorova, R.N. Terry, K.L. Yamamoto, H. Vitonis, A.F. Ardanaz, E. Aune, D. Boeing, H. Brandstedt, J. Boutron-Ruault, M.-C. Chirlaque, M.-D. Dorronsoro, M. Dossus, L. Duell, E.J. Gram, I.T. Gunter, M. Hansen, L. Idahl, A. Johnson, T. Khaw, K.-T. Krogh, V. Kvaskoff, M. Mattiello, A. Matullo, G. Merritt, M.A. Nodin, B. Orfanos, P. Onland-Moret, N.C. Palli, D. Peppa, E. Quiros, J.R. Sanchez-Perez, M.-J. Severi, G. Tjønneland, A. Travis, R.C. Trichopoulou, A. Tumino, R. Weiderpass, E. Fortner, R.T. Kaaks, R.
Subjects: endocrine system diseases, female genital diseases and pregnancy complications
Abstract: Background: Neoplastic and non-neoplastic events may raise levels of mucins, CA15.3, and CA125, and generate antibodies against them, but their impact on epithelial ovarian cancer (EOC) risk has not been fully defined. Methods: CA15.3, CA125, and IgG1 antibodies against them were measured in 806 women who developed EOC and 1,927 matched controls from the European Prospective Investigation of Nutrition and Cancer. Associations between epidemiologic factors and anti-mucin antibodies were evaluated using generalized linear models; EOC risks associated with anti-mucin antibodies, by themselves or in combination with respective antigens, were evaluated using conditional logistic regression. Results: In controls, lower antibodies against both mucins were associated with current smoking; and, in postmenopausal women, higher levels with longer oral contraceptive use and later-age-at and shorter-interval-since last birth. Lower anti-CA15.3 antibodies were associated with higher body mass and, in premenopausal women, more ovulatory cycles. Higher anti-CA15.3 and anti-CA125 antibodies were associated with higher risk for mucinous EOC occurring ≥ 3 years from enrollment. Long-term risk for serous EOC was reduced in women with low CA125 and high anti-CA125 antibodies relative to women with low concentrations of both. Conclusions: We found general support for the hypothesis that anti-mucin antibody levels correlate with risk factors for EOC. Antibodies alone or in combinations with their antigen may predict longer term risk of specific EOC types. Impact: Anti-CA125 and anti-CA15.3 antibodies alone or in perspective of antigens may be informative in the pathogenesis of EOC subtypes, but less useful for informing risk for all EOC. © 2018 American Association for Cancer Research.
Published: 2018

46. Tumor-associated autoantibodies as early detection markers for ovarian cancer? A prospective evaluation

Author: Kaaks, R. Fortner, R.T. Hüsing, A. Barrdahl, M. Hopper, M. Johnson, T. Tjønneland, A. Hansen, L. Overvad, K. Fournier, A. Boutron-Ruault, M.-C. Kvaskoff, M. Dossus, L. Johansson, M. Boeing, H. Trichopoulou, A. Benetou, V. La Vecchia, C. Sieri, S. Mattiello, A. Palli, D. Tumino, R. Matullo, G. Onland-Moret, N.C. Gram, I.T. Weiderpass, E. Sánchez, M.-J. Navarro Sanchez, C. Duell, E.J. Ardanaz, E. Larranaga, N. Lundin, E. Idahl, A. Jirström, K. Nodin, B. Travis, R.C. Riboli, E. Merritt, M. Aune, D. Terry, K. Cramer, D.W. Anderson, K.S.
Subjects: endocrine system diseases
Abstract: Immuno-proteomic screening has identified several tumor-associated autoantibodies (AAb) that may have diagnostic capacity for invasive epithelial ovarian cancer, with AAbs to P53 proteins and cancer-testis antigens (CTAGs) as prominent examples. However, the early detection potential of these AAbs has been insufficiently explored in prospective studies. We performed ELISA measurements of AAbs to CTAG1A, CTAG2, P53 and NUDT11 proteins, for 194 patients with ovarian cancer and 705 matched controls from the European EPIC cohort, using serum samples collected up to 36 months prior to diagnosis under usual care. CA125 was measured using electrochemo-luminiscence. Diagnostic discrimination statistics were calculated by strata of lead-time between blood collection and diagnosis. With lead times ≤6 months, ovarian cancer detection sensitivity at 0.98 specificity (SE98) varied from 0.19 [95% CI 0.08–0.40] for CTAG1A, CTAG2 and NUDT1 to 0.23 [0.10–0.44] for P53 (0.33 [0.11–0.68] for high-grade serous tumors). However, at longer lead-times, the ability of these AAb markers to distinguish future ovarian cancer cases from controls declined rapidly; at lead times >1 year, SE98 estimates were close to zero (all invasive cases, range: 0.01–0.11). Compared to CA125 alone, combined logistic regression scores of AAbs and CA125 did not improve detection sensitivity at equal level of specificity. The added value of these selected AAbs as markers for ovarian cancer beyond CA125 for early detection is therefore limited. © 2018 UICC
Published: 2018

47. Prediction of acute myeloid leukaemia risk in healthy individuals

Author: Abelson, S. Collord, G. Ng, S.W.K. Weissbrod, O. Mendelson Cohen, N. Niemeyer, E. Barda, N. Zuzarte, P.C. Heisler, L. Sundaravadanam, Y. Luben, R. Hayat, S. Wang, T.T. Zhao, Z. Cirlan, I. Pugh, T.J. Soave, D. Ng, K. Latimer, C. Hardy, C. Raine, K. Jones, D. Hoult, D. Britten, A. McPherson, J.D. Johansson, M. Mbabaali, F. Eagles, J. Miller, J.K. Pasternack, D. Timms, L. Krzyzanowski, P. Awadalla, P. Costa, R. Segal, E. Bratman, S.V. Beer, P. Behjati, S. Martincorena, I. Wang, J.C.Y. Bowles, K.M. Quirós, J.R. Karakatsani, A. La Vecchia, C. Trichopoulou, A. Salamanca-Fernández, E. Huerta, J.M. Barricarte, A. Travis, R.C. Tumino, R. Masala, G. Boeing, H. Panico, S. Kaaks, R. Krämer, A. Sieri, S. Riboli, E. Vineis, P. Foll, M. McKay, J. Polidoro, S. Sala, N. Khaw, K.-T. Vermeulen, R. Campbell, P.J. Papaemmanuil, E. Minden, M.D. Tanay, A. Balicer, R.D. Wareham, N.J. Gerstung, M. Dick, J.E. Brennan, P. Vassiliou, G.S. Shlush, L.I.
Subjects: hemic and lymphatic diseases, neoplasms
Abstract: The incidence of acute myeloid leukaemia (AML) increases with age and mortality exceeds 90% when diagnosed after age 65. Most cases arise without any detectable early symptoms and patients usually present with the acute complications of bone marrow failure 1 . The onset of such de novo AML cases is typically preceded by the accumulation of somatic mutations in preleukaemic haematopoietic stem and progenitor cells (HSPCs) that undergo clonal expansion 2,3 . However, recurrent AML mutations also accumulate in HSPCs during ageing of healthy individuals who do not develop AML, a phenomenon referred to as age-related clonal haematopoiesis (ARCH) 4-8 . Here we use deep sequencing to analyse genes that are recurrently mutated in AML to distinguish between individuals who have a high risk of developing AML and those with benign ARCH. We analysed peripheral blood cells from 95 individuals that were obtained on average 6.3 years before AML diagnosis (pre-AML group), together with 414 unselected age- and gender-matched individuals (control group). Pre-AML cases were distinct from controls and had more mutations per sample, higher variant allele frequencies, indicating greater clonal expansion, and showed enrichment of mutations in specific genes. Genetic parameters were used to derive a model that accurately predicted AML-free survival; this model was validated in an independent cohort of 29 pre-AML cases and 262 controls. Because AML is rare, we also developed an AML predictive model using a large electronic health record database that identified individuals at greater risk. Collectively our findings provide proof-of-concept that it is possible to discriminate ARCH from pre-AML many years before malignant transformation. This could in future enable earlier detection and monitoring, and may help to inform intervention. © 2018 Macmillan Publishers Ltd., part of Springer Nature.
Published: 2018

48. Circulating metabolites associated with alcohol intake in the european prospective investigation into cancer and nutrition cohort

Author: van Roekel, E.H. Trijsburg, L. Assi, N. Carayol, M. Achaintre, D. Murphy, N. Rinaldi, S. Schmidt, J.A. Stepien, M. Kaaks, R. Kühn, T. Boeing, H. Iqbal, K. Palli, D. Krogh, V. Tumino, R. Ricceri, F. Panico, S. Peeters, P.H. Bueno-de-Mesquita, B. Ardanaz, E. Lujan-Barroso, L. Quirós, J.R. Huerta, J.M. Molina-Portillo, E. Dorronsoro, M. Tsilidis, K.K. Riboli, E. Rostgaard-Hansen, A.L. Tjønneland, A. Overvad, K. Weiderpass, E. Boutron-Ruault, M.-C. Severi, G. Trichopoulou, A. Karakatsani, A. Kotanidou, A. Håkansson, A. Malm, J. Weijenberg, M.P. Gunter, M.J. Jenab, M. Johansson, M. Travis, R.C. Scalbert, A. Ferrari, P.
Abstract: Identifying the metabolites associated with alcohol consumption may provide insights into the metabolic pathways through which alcohol may affect human health. We studied associations of alcohol consumption with circulating concentrations of 123 metabolites among 2974 healthy participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Alcohol consumption at recruitment was self-reported through dietary questionnaires. Metabolite concentrations were measured by tandem mass spectrometry (BIOCRATES AbsoluteIDQTMp180 kit). Data were randomly divided into discovery (2/3) and replication (1/3) sets. Multivariable linear regression models were used to evaluate confounder-adjusted associations of alcohol consumption withmetabolite concentrations. Metabolites significantly related to alcohol intake in the discovery set (FDR q-value < 0.05) were further tested in the replication set (Bonferroni-corrected p-value < 0.05). Of the 72metabolites significantly related to alcohol intake in the discovery set, 34 were also significant in the replication analysis, including three acylcarnitines, the amino acid citrulline, four lysophosphatidylcholines, 13 diacylphosphatidylcholines, seven acyl-alkylphosphatidylcholines, and six sphingomyelins. Our results confirmed earlier findings that alcohol consumption was associated with several lipid metabolites, and possibly also with specific acylcarnitines and amino acids. This provides further leads for future research studies aiming at elucidating the mechanisms underlying the effects of alcohol in relation to morbid conditions. © 2018 by the authors.
Published: 2018

49. Assessment of Lung Cancer Risk on the Basis of a Biomarker Panel of Circulating Proteins

Author: Guida, F. Sun, N. Bantis, L.E. Muller, D.C. Li, P. Taguchi, A. Dhillon, D. Kundnani, D.L. Patel, N.J. Yan, Q. Byrnes, G. Moons, K.G.M. Tjønneland, A. Panico, S. Agnoli, C. Vineis, P. Palli, D. Bueno-De-Mesquita, B. Peeters, P.H. Agudo, A. Huerta, J.M. Dorronsoro, M. Barranco, M.R. Ardanaz, E. Travis, R.C. Byrne, K.S. Boeing, H. Steffen, A. Kaaks, R. Hüsing, A. Trichopoulou, A. Lagiou, P. La Vecchia, C. Severi, G. Boutron-Ruault, M.-C. Sandanger, T.M. Weiderpass, E. Nøst, T.H. Tsilidis, K. Riboli, E. Grankvist, K. Johansson, M. Goodman, G.E. Feng, Z. Brennan, P. Johansson, M. Hanash, S.M.
Abstract: Importance: There is an urgent need to improve lung cancer risk assessment because current screening criteria miss a large proportion of cases. Objective: To investigate whether a lung cancer risk prediction model based on a panel of selected circulating protein biomarkers can outperform a traditional risk prediction model and current US screening criteria. Design, Setting, and Participants: Prediagnostic samples from 108 ever-smoking patients with lung cancer diagnosed within 1 year after blood collection and samples from 216 smoking-matched controls from the Carotene and Retinol Efficacy Trial (CARET) cohort were used to develop a biomarker risk score based on 4 proteins (cancer antigen 125 [CA125], carcinoembryonic antigen [CEA], cytokeratin-19 fragment [CYFRA 21-1], and the precursor form of surfactant protein B [Pro-SFTPB]). The biomarker score was subsequently validated blindly using absolute risk estimates among 63 ever-smoking patients with lung cancer diagnosed within 1 year after blood collection and 90 matched controls from 2 large European population-based cohorts, the European Prospective Investigation into Cancer and Nutrition (EPIC) and the Northern Sweden Health and Disease Study (NSHDS). Main Outcomes and Measures: Model validity in discriminating between future lung cancer cases and controls. Discrimination estimates were weighted to reflect the background populations of EPIC and NSHDS validation studies (area under the receiver-operating characteristics curve [AUC], sensitivity, and specificity). Results: In the validation study of 63 ever-smoking patients with lung cancer and 90 matched controls (mean [SD] age, 57.7 [8.7] years; 68.6% men) from EPIC and NSHDS, an integrated risk prediction model that combined smoking exposure with the biomarker score yielded an AUC of 0.83 (95% CI, 0.76-0.90) compared with 0.73 (95% CI, 0.64-0.82) for a model based on smoking exposure alone (P =.003 for difference in AUC). At an overall specificity of 0.83, based on the US Preventive Services Task Force screening criteria, the sensitivity of the integrated risk prediction (biomarker) model was 0.63 compared with 0.43 for the smoking model. Conversely, at an overall sensitivity of 0.42, based on the US Preventive Services Task Force screening criteria, the integrated risk prediction model yielded a specificity of 0.95 compared with 0.86 for the smoking model. Conclusions and Relevance: This study provided a proof of principle in showing that a panel of circulating protein biomarkers may improve lung cancer risk assessment and may be used to define eligibility for computed tomography screening.. © 2018 American Medical Association. All rights reserved.
Published: 2018

50. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies

Author: 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.
Published: 2018

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