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1. The associations of anthropometric, behavioural and sociodemographic factors with circulating concentrations of IGF‐I, IGF‐II, IGFBP‐1, IGFBP‐2 and IGFBP‐3 in a pooled analysis of 16,024 men from 22 studies

Author

Watts, Eleanor L, Perez‐Cornago, Aurora, Appleby, Paul N, Albanes, Demetrius, Ardanaz, Eva, Black, Amanda, Bueno‐de‐Mesquita, H Bas, Chan, June M, Chen, Chu, Chubb, SA Paul, Cook, Michael B, Deschasaux, Mélanie, Donovan, Jenny L, English, Dallas R, Flicker, Leon, Freedman, Neal D, Galan, Pilar, Giles, Graham G, Giovannucci, Edward L, Gunter, Marc J, Habel, Laurel A, Häggström, Christel, Haiman, Christopher, Hamdy, Freddie C, Hercberg, Serge, Holly, Jeff M, Huang, Jiaqi, Huang, Wen‐Yi, Johansson, Mattias, Kaaks, Rudolf, Kubo, Tatsuhiko, Lane, J Athene, Layne, Tracy M, Le Marchand, Loic, Martin, Richard M, Metter, E Jeffrey, Mikami, Kazuya, Milne, Roger L, Morris, Howard A, Mucci, Lorelei A, Neal, David E, Neuhouser, Marian L, Oliver, Steven E, Overvad, Kim, Ozasa, Kotaro, Pala, Valeria, Pernar, Claire H, Pollak, Michael, Rowlands, Mari‐Anne, Schaefer, Catherine A, Schenk, Jeannette M, Stattin, Pär, Tamakoshi, Akiko, Thysell, Elin, Touvier, Mathilde, Trichopoulou, Antonia, Tsilidis, Konstantinos K, Van Den Eeden, Stephen K, Weinstein, Stephanie J, Wilkens, Lynne, Yeap, Bu B, Key, Timothy J, Allen, Naomi E, and Travis, Ruth C

Subjects
Cancer, Aging, Urologic Diseases, Adult, Aged, Aged, 80 and over, Anthropometry, Biomarkers, Tumor, Cross-Sectional Studies, Humans, Insulin-Like Growth Factor Binding Proteins, Insulin-Like Growth Factor I, Insulin-Like Growth Factor II, Male, Middle Aged, Neoplasms, Prospective Studies, Young Adult, IGFs, IGFBPs, pooled analysis, correlates, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Insulin-like growth factors (IGFs) and insulin-like growth factor binding proteins (IGFBPs) have been implicated in the aetiology of several cancers. To better understand whether anthropometric, behavioural and sociodemographic factors may play a role in cancer risk via IGF signalling, we examined the cross-sectional associations of these exposures with circulating concentrations of IGFs (IGF-I and IGF-II) and IGFBPs (IGFBP-1, IGFBP-2 and IGFBP-3). The Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group dataset includes individual participant data from 16,024 male controls (i.e. without prostate cancer) aged 22-89 years from 22 prospective studies. Geometric means of protein concentrations were estimated using analysis of variance, adjusted for relevant covariates. Older age was associated with higher concentrations of IGFBP-1 and IGFBP-2 and lower concentrations of IGF-I, IGF-II and IGFBP-3. Higher body mass index was associated with lower concentrations of IGFBP-1 and IGFBP-2. Taller height was associated with higher concentrations of IGF-I and IGFBP-3 and lower concentrations of IGFBP-1. Smokers had higher concentrations of IGFBP-1 and IGFBP-2 and lower concentrations of IGFBP-3 than nonsmokers. Higher alcohol consumption was associated with higher concentrations of IGF-II and lower concentrations of IGF-I and IGFBP-2. African Americans had lower concentrations of IGF-II, IGFBP-1, IGFBP-2 and IGFBP-3 and Hispanics had lower IGF-I, IGF-II and IGFBP-3 than non-Hispanic whites. These findings indicate that a range of anthropometric, behavioural and sociodemographic factors are associated with circulating concentrations of IGFs and IGFBPs in men, which will lead to a greater understanding of the mechanisms through which these factors influence cancer risk.

Published
2019

2. Low Free Testosterone and Prostate Cancer Risk: A Collaborative Analysis of 20 Prospective Studies

Author

Watts, Eleanor L, Appleby, Paul N, Perez-Cornago, Aurora, Bueno-de-Mesquita, H Bas, Chan, June M, Chen, Chu, Cohn, Barbara A, Cook, Michael B, Flicker, Leon, Freedman, Neal D, Giles, Graham G, Giovannucci, Edward, Gislefoss, Randi E, Hankey, Graeme J, Kaaks, Rudolf, Knekt, Paul, Kolonel, Laurence N, Kubo, Tatsuhiko, Le Marchand, Loïc, Luben, Robert N, Luostarinen, Tapio, Männistö, Satu, Metter, E Jeffrey, Mikami, Kazuya, Milne, Roger L, Ozasa, Kotaro, Platz, Elizabeth A, Quirós, J Ramón, Rissanen, Harri, Sawada, Norie, Stampfer, Meir, Stanczyk, Frank Z, Stattin, Pär, Tamakoshi, Akiko, Tangen, Catherine M, Thompson, Ian M, Tsilidis, Konstantinos K, Tsugane, Shoichiro, Ursin, Giske, Vatten, Lars, Weiss, Noel S, Yeap, Bu B, Allen, Naomi E, Key, Timothy J, and Travis, Ruth C

Subjects
Cancer, Clinical Research, Prevention, Urologic Diseases, Prostate Cancer, Aging, Aetiology, 2.1 Biological and endogenous factors, Adult, Aged, Biomarkers, Case-Control Studies, Down-Regulation, Humans, Male, Middle Aged, Neoplasm Grading, Prospective Studies, Prostatic Neoplasms, Protective Factors, Risk Assessment, Risk Factors, Testosterone, Time Factors, Androgens Pooled analysis, Prospective studies, Prostate cancer, Sex hormones, Epidemiology, Androgens, Pooled analysis, Clinical Sciences, Urology & Nephrology
Abstract

BackgroundExperimental and clinical evidence implicates testosterone in the aetiology of prostate cancer. Variation across the normal range of circulating free testosterone concentrations may not lead to changes in prostate biology, unless circulating concentrations are low. This may also apply to prostate cancer risk, but this has not been investigated in an epidemiological setting.ObjectiveTo examine whether men with low concentrations of circulating free testosterone have a reduced risk of prostate cancer.Design, setting, and participantsAnalysis of individual participant data from 20 prospective studies including 6933 prostate cancer cases, diagnosed on average 6.8 yr after blood collection, and 12 088 controls in the Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group.Outcome measurements and statistical analysisOdds ratios (ORs) of incident overall prostate cancer and subtypes by stage and grade, using conditional logistic regression, based on study-specific tenths of calculated free testosterone concentration.Results and limitationsMen in the lowest tenth of free testosterone concentration had a lower risk of overall prostate cancer (OR=0.77, 95% confidence interval [CI] 0.69-0.86; p

Published
2018

3. Genome-wide association analyses identify new susceptibility loci for oral cavity and pharyngeal cancer

Author

Lesseur, Corina, Diergaarde, Brenda, Olshan, Andrew F, Wünsch-Filho, Victor, Ness, Andrew R, Liu, Geoffrey, Lacko, Martin, Eluf-Neto, José, Franceschi, Silvia, Lagiou, Pagona, Macfarlane, Gary J, Richiardi, Lorenzo, Boccia, Stefania, Polesel, Jerry, Kjaerheim, Kristina, Zaridze, David, Johansson, Mattias, Menezes, Ana M, Curado, Maria Paula, Robinson, Max, Ahrens, Wolfgang, Canova, Cristina, Znaor, Ariana, Castellsagué, Xavier, Conway, David I, Holcátová, Ivana, Mates, Dana, Vilensky, Marta, Healy, Claire M, Szeszenia-Dąbrowska, Neonila, Fabiánová, Eleonóra, Lissowska, Jolanta, Grandis, Jennifer R, Weissler, Mark C, Tajara, Eloiza H, Nunes, Fabio D, de Carvalho, Marcos B, Thomas, Steve, Hung, Rayjean J, Peters, Wilbert HM, Herrero, Rolando, Cadoni, Gabriella, Bueno-de-Mesquita, H Bas, Steffen, Annika, Agudo, Antonio, Shangina, Oxana, Xiao, Xiangjun, Gaborieau, Valérie, Chabrier, Amélie, Anantharaman, Devasena, Boffetta, Paolo, Amos, Christopher I, McKay, James D, and Brennan, Paul

Subjects
Biological Sciences, Genetics, Cancer, Clinical Research, Dental/Oral and Craniofacial Disease, Digestive Diseases, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Aged, Case-Control Studies, Female, Genetic Markers, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, HLA Antigens, Haplotypes, Humans, Male, Middle Aged, Mouth, Mouth Neoplasms, Papillomaviridae, Papillomavirus Infections, Pharyngeal Neoplasms, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

We conducted a genome-wide association study of oral cavity and pharyngeal cancer in 6,034 cases and 6,585 controls from Europe, North America and South America. We detected eight significantly associated loci (P < 5 × 10-8), seven of which are new for these cancer sites. Oral and pharyngeal cancers combined were associated with loci at 6p21.32 (rs3828805, HLA-DQB1), 10q26.13 (rs201982221, LHPP) and 11p15.4 (rs1453414, OR52N2-TRIM5). Oral cancer was associated with two new regions, 2p23.3 (rs6547741, GPN1) and 9q34.12 (rs928674, LAMC3), and with known cancer-related loci-9p21.3 (rs8181047, CDKN2B-AS1) and 5p15.33 (rs10462706, CLPTM1L). Oropharyngeal cancer associations were limited to the human leukocyte antigen (HLA) region, and classical HLA allele imputation showed a protective association with the class II haplotype HLA-DRB1*1301-HLA-DQA1*0103-HLA-DQB1*0603 (odds ratio (OR) = 0.59, P = 2.7 × 10-9). Stratified analyses on a subgroup of oropharyngeal cases with information available on human papillomavirus (HPV) status indicated that this association was considerably stronger in HPV-positive (OR = 0.23, P = 1.6 × 10-6) than in HPV-negative (OR = 0.75, P = 0.16) cancers.

Published
2016

4. Main nutrient patterns are associated with prospective weight change in adults from 10 European countries

Author

Freisling, Heinz, Pisa, Pedro T, Ferrari, Pietro, Byrnes, Graham, Moskal, Aurelie, Dahm, Christina C, Vergnaud, Anne-Claire, Boutron-Ruault, Marie-Christine, Fagherazzi, Guy, Cadeau, Claire, Kühn, Tilman, Neamat-Allah, Jasmine, Buijsse, Brian, Boeing, Heiner, Halkjær, Jytte, Tjonneland, Anne, Hansen, Camilla P, Quirós, J Ramón, Travier, Noémie, Molina-Montes, Esther, Amiano, Pilar, Huerta, José M, Barricarte, Aurelio, Khaw, Kay-Tee, Wareham, Nicholas, Key, Tim J, Romaguera, Dora, Lu, Yunxia, Lassale, Camille M, Naska, Androniki, Orfanos, Philippos, Trichopoulou, Antonia, Masala, Giovanna, Pala, Valeria, Berrino, Franco, Tumino, Rosario, Ricceri, Fulvio, de Magistris, Maria Santucci, Bueno-de-Mesquita, H Bas, Ocké, Marga C, Sonestedt, Emily, Ericson, Ulrika, Johansson, Mattias, Skeie, Guri, Weiderpass, Elisabete, Braaten, Tonje, Peeters, Petra HM, and Slimani, Nadia

Subjects
Public Health, Biomedical and Clinical Sciences, Nutrition and Dietetics, Health Sciences, Clinical Research, Prevention, Nutrition, Metabolic and endocrine, Adult, Aged, Ascorbic Acid, Calcium, Dietary, Diet, Dietary Fiber, Dietary Proteins, Europe, Female, Folic Acid, Follow-Up Studies, Humans, Linear Models, Male, Middle Aged, Nutrition Assessment, Phosphorus, Dietary, Prospective Studies, Riboflavin, Surveys and Questionnaires, Weight Gain, beta Carotene, Dietary patterns, Energy balance, Nutrients, Obesity, Public health, Weight gain, Nutrition & Dietetics, Nutrition and dietetics, Epidemiology
Abstract

PurposeVarious food patterns have been associated with weight change in adults, but it is unknown which combinations of nutrients may account for such observations. We investigated associations between main nutrient patterns and prospective weight change in adults.MethodsThis study includes 235,880 participants, 25-70 years old, recruited between 1992 and 2000 in 10 European countries. Intakes of 23 nutrients were estimated from country-specific validated dietary questionnaires using the harmonized EPIC Nutrient DataBase. Four nutrient patterns, explaining 67 % of the total variance of nutrient intakes, were previously identified from principal component analysis. Body weight was measured at recruitment and self-reported 5 years later. The relationship between nutrient patterns and annual weight change was examined separately for men and women using linear mixed models with random effect according to center controlling for confounders.ResultsMean weight gain was 460 g/year (SD 950) and 420 g/year (SD 940) for men and women, respectively. The annual differences in weight gain per one SD increase in the pattern scores were as follows: principal component (PC) 1, characterized by nutrients from plant food sources, was inversely associated with weight gain in men (-22 g/year; 95 % CI -33 to -10) and women (-18 g/year; 95 % CI -26 to -11). In contrast, PC4, characterized by protein, vitamin B2, phosphorus, and calcium, was associated with a weight gain of +41 g/year (95 % CI +2 to +80) and +88 g/year (95 % CI +36 to +140) in men and women, respectively. Associations with PC2, a pattern driven by many micro-nutrients, and with PC3, a pattern driven by vitamin D, were less consistent and/or non-significant.ConclusionsWe identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.

Published
2016

5. Dietary polyphenol intake in Europe: the European Prospective Investigation into Cancer and Nutrition (EPIC) study

Author

Zamora-Ros, Raul, Knaze, Viktoria, Rothwell, Joseph A, Hémon, Bertrand, Moskal, Aurelie, Overvad, Kim, Tjønneland, Anne, Kyrø, Cecilie, Fagherazzi, Guy, Boutron-Ruault, Marie-Christine, Touillaud, Marina, Katzke, Verena, Kühn, Tilman, Boeing, Heiner, Förster, Jana, Trichopoulou, Antonia, Valanou, Elissavet, Peppa, Eleni, Palli, Domenico, Agnoli, Claudia, Ricceri, Fulvio, Tumino, Rosario, de Magistris, Maria Santucci, Peeters, Petra HM, Bueno-de-Mesquita, H Bas, Engeset, Dagrun, Skeie, Guri, Hjartåker, Anette, Menéndez, Virginia, Agudo, Antonio, Molina-Montes, Esther, Huerta, José María, Barricarte, Aurelio, Amiano, Pilar, Sonestedt, Emily, Nilsson, Lena Maria, Landberg, Rikard, Key, Timothy J, Khaw, Kay-Thee, Wareham, Nicholas J, Lu, Yunxia, Slimani, Nadia, Romieu, Isabelle, Riboli, Elio, and Scalbert, Augustin

Subjects
Public Health, Biomedical and Clinical Sciences, Nutrition and Dietetics, Health Sciences, Complementary and Integrative Health, Nutrition, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, Cancer, Adult, Aged, Body Mass Index, Coffee, Cross-Sectional Studies, Diet, Europe, Exercise, Female, Flavonoids, Food Analysis, Food Handling, Fruit, Humans, Hydroxybenzoates, Life Style, Male, Mental Recall, Middle Aged, Nutrition Assessment, Polyphenols, Proanthocyanidins, Prospective Studies, Socioeconomic Factors, Tea, Dietary intake, EPIC, Food sources, Nutrition & Dietetics, Nutrition and dietetics, Epidemiology
Abstract

Background/objectivesPolyphenols are plant secondary metabolites with a large variability in their chemical structure and dietary occurrence that have been associated with some protective effects against several chronic diseases. To date, limited data exist on intake of polyphenols in populations. The current cross-sectional analysis aimed at estimating dietary intakes of all currently known individual polyphenols and total intake per class and subclass, and to identify their main food sources in the European Prospective Investigation into Cancer and Nutrition cohort.MethodsDietary data at baseline were collected using a standardized 24-h dietary recall software administered to 36,037 adult subjects. Dietary data were linked with Phenol-Explorer, a database with data on 502 individual polyphenols in 452 foods and data on polyphenol losses due to cooking and food processing.ResultsMean total polyphenol intake was the highest in Aarhus-Denmark (1786 mg/day in men and 1626 mg/day in women) and the lowest in Greece (744 mg/day in men and 584 mg/day in women). When dividing the subjects into three regions, the highest intake of total polyphenols was observed in the UK health-conscious group, followed by non-Mediterranean (non-MED) and MED countries. The main polyphenol contributors were phenolic acids (52.5-56.9 %), except in men from MED countries and in the UK health-conscious group where they were flavonoids (49.1-61.7 %). Coffee, tea, and fruits were the most important food sources of total polyphenols. A total of 437 different individual polyphenols were consumed, including 94 consumed at a level >1 mg/day. The most abundant ones were the caffeoylquinic acids and the proanthocyanidin oligomers and polymers.ConclusionThis study describes the large number of dietary individual polyphenols consumed and the high variability of their intakes between European populations, particularly between MED and non-MED countries.

Published
2016

6. Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of European ancestry

Author

Figueroa, Jonine D, Middlebrooks, Candace D, Banday, A Rouf, Ye, Yuanqing, Garcia-Closas, Montserrat, Chatterjee, Nilanjan, Koutros, Stella, Kiemeney, Lambertus A, Rafnar, Thorunn, Bishop, Timothy, Furberg, Helena, Matullo, Giuseppe, Golka, Klaus, Gago-Dominguez, Manuela, Taylor, Jack A, Fletcher, Tony, Siddiq, Afshan, Cortessis, Victoria K, Kooperberg, Charles, Cussenot, Olivier, Benhamou, Simone, Prescott, Jennifer, Porru, Stefano, Dinney, Colin P, Malats, Núria, Baris, Dalsu, Purdue, Mark P, Jacobs, Eric J, Albanes, Demetrius, Wang, Zhaoming, Chung, Charles C, Vermeulen, Sita H, Aben, Katja K, Galesloot, Tessel E, Thorleifsson, Gudmar, Sulem, Patrick, Stefansson, Kari, Kiltie, Anne E, Harland, Mark, Teo, Mark, Offit, Kenneth, Vijai, Joseph, Bajorin, Dean, Kopp, Ryan, Fiorito, Giovanni, Guarrera, Simonetta, Sacerdote, Carlotta, Selinski, Silvia, Hengstler, Jan G, Gerullis, Holger, Ovsiannikov, Daniel, Blaszkewicz, Meinolf, Castelao, Jose Esteban, Calaza, Manuel, Martinez, Maria Elena, Cordeiro, Patricia, Xu, Zongli, Panduri, Vijayalakshmi, Kumar, Rajiv, Gurzau, Eugene, Koppova, Kvetoslava, Bueno-De-Mesquita, H Bas, Ljungberg, Börje, Clavel-Chapelon, Françoise, Weiderpass, Elisabete, Krogh, Vittorio, Dorronsoro, Miren, Travis, Ruth C, Tjønneland, Anne, Brennan, Paul, Chang-Claude, Jenny, Riboli, Elio, Conti, David, Stern, Marianna C, Pike, Malcolm C, Van Den Berg, David, Yuan, Jian-Min, Hohensee, Chancellor, Jeppson, Rebecca P, Cancel-Tassin, Geraldine, Roupret, Morgan, Comperat, Eva, Turman, Constance, De Vivo, Immaculata, Giovannucci, Edward, Hunter, David J, Kraft, Peter, Lindstrom, Sara, Carta, Angela, Pavanello, Sofia, Arici, Cecilia, Mastrangelo, Giuseppe, Kamat, Ashish M, Zhang, Liren, Gong, Yilei, Pu, Xia, Hutchinson, Amy, Burdett, Laurie, Wheeler, William A, and Karagas, Margaret R

Subjects
Cancer, Prevention, Human Genome, Genetics, Biotechnology, Urologic Diseases, Aetiology, 2.1 Biological and endogenous factors, Biomarkers, Tumor, Case-Control Studies, Chromosomes, Human, Pair 13, Chromosomes, Human, Pair 20, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Male, Polymorphism, Single Nucleotide, Risk Factors, Urinary Bladder Neoplasms, White People, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Candidate gene and genome-wide association studies (GWAS) have identified 15 independent genomic regions associated with bladder cancer risk. In search for additional susceptibility variants, we followed up on four promising single-nucleotide polymorphisms (SNPs) that had not achieved genome-wide significance in 6911 cases and 11 814 controls (rs6104690, rs4510656, rs5003154 and rs4907479, P < 1 × 10(-6)), using additional data from existing GWAS datasets and targeted genotyping for studies that did not have GWAS data. In a combined analysis, which included data on up to 15 058 cases and 286 270 controls, two SNPs achieved genome-wide statistical significance: rs6104690 in a gene desert at 20p12.2 (P = 2.19 × 10(-11)) and rs4907479 within the MCF2L gene at 13q34 (P = 3.3 × 10(-10)). Imputation and fine-mapping analyses were performed in these two regions for a subset of 5551 bladder cancer cases and 10 242 controls. Analyses at the 13q34 region suggest a single signal marked by rs4907479. In contrast, we detected two signals in the 20p12.2 region-the first signal is marked by rs6104690, and the second signal is marked by two moderately correlated SNPs (r(2) = 0.53), rs6108803 and the previously reported rs62185668. The second 20p12.2 signal is more strongly associated with the risk of muscle-invasive (T2-T4 stage) compared with non-muscle-invasive (Ta, T1 stage) bladder cancer (case-case P ≤ 0.02 for both rs62185668 and rs6108803). Functional analyses are needed to explore the biological mechanisms underlying these novel genetic associations with risk for bladder cancer.

Published
2016

7. Fine mapping of chromosome 5p15.33 based on a targeted deep sequencing and high density genotyping identifies novel lung cancer susceptibility loci

Author

Kachuri, Linda, Amos, Christopher I, McKay, James D, Johansson, Mattias, Vineis, Paolo, Bueno-de-Mesquita, H Bas, Boutron-Ruault, Marie-Christine, Johansson, Mikael, Quirós, J Ramón, Sieri, Sabina, Travis, Ruth C, Weiderpass, Elisabete, Le Marchand, Loic, Henderson, Brian E, Wilkens, Lynne, Goodman, Gary E, Chen, Chu, Doherty, Jennifer A, Christiani, David C, Wei, Yongyue, Su, Li, Tworoger, Shelley, Zhang, Xuehong, Kraft, Peter, Zaridze, David, Field, John K, Marcus, Michael W, Davies, Michael PA, Hyde, Russell, Caporaso, Neil E, Landi, Maria Teresa, Severi, Gianluca, Giles, Graham G, Liu, Geoffrey, McLaughlin, John R, Li, Yafang, Xiao, Xiangjun, Fehringer, Gord, Zong, Xuchen, Denroche, Robert E, Zuzarte, Philip C, McPherson, John D, Brennan, Paul, and Hung, Rayjean J

Subjects
Lung, Human Genome, Genetics, Cancer, Prevention, Lung Cancer, 2.1 Biological and endogenous factors, Aetiology, Case-Control Studies, Chromosome Mapping, Chromosomes, Human, Pair 5, Female, Genetic Loci, Genetic Predisposition to Disease, Genotyping Techniques, Humans, Lung Neoplasms, Male, Middle Aged, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Chromosome 5p15.33 has been identified as a lung cancer susceptibility locus, however the underlying causal mechanisms were not fully elucidated. Previous fine-mapping studies of this locus have relied on imputation or investigated a small number of known, common variants. This study represents a significant advance over previous research by investigating a large number of novel, rare variants, as well as their underlying mechanisms through telomere length. Variants for this fine-mapping study were identified through a targeted deep sequencing (average depth of coverage greater than 4000×) of 576 individuals. Subsequently, 4652 SNPs, including 1108 novel SNPs, were genotyped in 5164 cases and 5716 controls of European ancestry. After adjusting for known risk loci, rs2736100 and rs401681, we identified a new, independent lung cancer susceptibility variant in LPCAT1: rs139852726 (OR = 0.46, P = 4.73×10(-9)), and three new adenocarcinoma risk variants in TERT: rs61748181 (OR = 0.53, P = 2.64×10(-6)), rs112290073 (OR = 1.85, P = 1.27×10(-5)), rs138895564 (OR = 2.16, P = 2.06×10(-5); among young cases, OR = 3.77, P = 8.41×10(-4)). In addition, we found that rs139852726 (P = 1.44×10(-3)) was associated with telomere length in a sample of 922 healthy individuals. The gene-based SKAT-O analysis implicated TERT as the most relevant gene in the 5p15.33 region for adenocarcinoma (P = 7.84×10(-7)) and lung cancer (P = 2.37×10(-5)) risk. In this largest fine-mapping study to investigate a large number of rare and novel variants within 5p15.33, we identified novel lung and adenocarcinoma susceptibility loci with large effects and provided support for the role of telomere length as the potential underlying mechanism.

Published
2016

8. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types

Author

Sampson, Joshua N, Wheeler, William A, Yeager, Meredith, Panagiotou, Orestis, Wang, Zhaoming, Berndt, Sonja I, Lan, Qing, Abnet, Christian C, Amundadottir, Laufey T, Figueroa, Jonine D, Landi, Maria Teresa, Mirabello, Lisa, Savage, Sharon A, Taylor, Philip R, De Vivo, Immaculata, McGlynn, Katherine A, Purdue, Mark P, Rajaraman, Preetha, Adami, Hans-Olov, Ahlbom, Anders, Albanes, Demetrius, Amary, Maria Fernanda, An, She-Juan, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Angelucci, Emanuele, Ansell, Stephen M, Arici, Cecilia, Armstrong, Bruce K, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Becker, Nikolaus, Benavente, Yolanda, Benhamou, Simone, Berg, Christine, Van Den Berg, David, Bernstein, Leslie, Bertrand, Kimberly A, Birmann, Brenda M, Black, Amanda, Boeing, Heiner, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brinton, Louise, Brooks-Wilson, Angela R, Bueno-de-Mesquita, H Bas, Burdett, Laurie, Buring, Julie, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chan, John KC, Chang, Ellen T, Chang, Gee-Chen, Chang, I-Shou, Chang, Jiang, Chang-Claude, Jenny, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chu, Chen, Chung-Hsing, Chen, Constance, Chen, Hongyan, Chen, Kexin, Chen, Kuan-Yu, Chen, Kun-Chieh, Chen, Ying, Chen, Ying-Hsiang, Chen, Yi-Song, Chen, Yuh-Min, Chien, Li-Hsin, Chirlaque, María-Dolores, Choi, Jin Eun, Choi, Yi Young, Chow, Wong-Ho, Chung, Charles C, Clavel, Jacqueline, Clavel-Chapelon, Françoise, Cocco, Pierluigi, Colt, Joanne S, Comperat, Eva, Conde, Lucia, Connors, Joseph M, Conti, David, Cortessis, Victoria K, Cotterchio, Michelle, Cozen, Wendy, Crouch, Simon, Crous-Bou, Marta, Cussenot, Olivier, and Davis, Faith G

Subjects
Tobacco, Clinical Research, Urologic Diseases, Lung, Genetics, Rare Diseases, Lung Cancer, Human Genome, Hematology, Cancer, Tobacco Smoke and Health, Prevention, Lymphoma, Adult, Aged, Asian People, Bone Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Kidney Neoplasms, Leukemia, Lymphocytic, Chronic, B-Cell, Lung Neoplasms, Lymphoma, Large B-Cell, Diffuse, Male, Middle Aged, Neoplasms, Osteosarcoma, Polymorphism, Single Nucleotide, Smoking, Testicular Neoplasms, Tissue Array Analysis, Urinary Bladder Neoplasms, White People, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundStudies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.MethodsBetween 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.ResultsGWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.ConclusionOur results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.

Published
2015

9. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types.

Author

Sampson, Joshua N, Wheeler, William A, Yeager, Meredith, Panagiotou, Orestis, Wang, Zhaoming, Berndt, Sonja I, Lan, Qing, Abnet, Christian C, Amundadottir, Laufey T, Figueroa, Jonine D, Landi, Maria Teresa, Mirabello, Lisa, Savage, Sharon A, Taylor, Philip R, De Vivo, Immaculata, McGlynn, Katherine A, Purdue, Mark P, Rajaraman, Preetha, Adami, Hans-Olov, Ahlbom, Anders, Albanes, Demetrius, Amary, Maria Fernanda, An, She-Juan, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Angelucci, Emanuele, Ansell, Stephen M, Arici, Cecilia, Armstrong, Bruce K, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Becker, Nikolaus, Benavente, Yolanda, Benhamou, Simone, Berg, Christine, Van Den Berg, David, Bernstein, Leslie, Bertrand, Kimberly A, Birmann, Brenda M, Black, Amanda, Boeing, Heiner, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brinton, Louise, Brooks-Wilson, Angela R, Bueno-de-Mesquita, H Bas, Burdett, Laurie, Buring, Julie, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chan, John KC, Chang, Ellen T, Chang, Gee-Chen, Chang, I-Shou, Chang, Jiang, Chang-Claude, Jenny, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chu, Chen, Chung-Hsing, Chen, Constance, Chen, Hongyan, Chen, Kexin, Chen, Kuan-Yu, Chen, Kun-Chieh, Chen, Ying, Chen, Ying-Hsiang, Chen, Yi-Song, Chen, Yuh-Min, Chien, Li-Hsin, Chirlaque, María-Dolores, Choi, Jin Eun, Choi, Yi Young, Chow, Wong-Ho, Chung, Charles C, Clavel, Jacqueline, Clavel-Chapelon, Françoise, Cocco, Pierluigi, Colt, Joanne S, Comperat, Eva, Conde, Lucia, Connors, Joseph M, Conti, David, Cortessis, Victoria K, Cotterchio, Michelle, Cozen, Wendy, Crouch, Simon, Crous-Bou, Marta, Cussenot, Olivier, and Davis, Faith G

Subjects
Humans, Neoplasms, Osteosarcoma, Bone Neoplasms, Testicular Neoplasms, Lung Neoplasms, Kidney Neoplasms, Genetic Predisposition to Disease, Tissue Array Analysis, Smoking, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, Asian Continental Ancestry Group, European Continental Ancestry Group, Female, Male, Urinary Bladder Neoplasms, Leukemia, Lymphocytic, Chronic, B-Cell, Lymphoma, Large B-Cell, Diffuse, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Leukemia, Lymphocytic, Chronic, B-Cell, Lymphoma, Large B-Cell, Diffuse, Oncology And Carcinogenesis, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

BackgroundStudies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.MethodsBetween 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.ResultsGWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.ConclusionOur results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.

Published
2015

10. Carotenoids, retinol, tocopherols, and prostate cancer risk: pooled analysis of 15 studies 1–3

Author

Key, Timothy J, Appleby, Paul N, Travis, Ruth C, Albanes, Demetrius, Alberg, Anthony J, Barricarte, Aurelio, Black, Amanda, Boeing, Heiner, Bueno-de-Mesquita, H Bas, Chan, June M, Chen, Chu, Cook, Michael B, Donovan, Jenny L, Galan, Pilar, Gilbert, Rebecca, Giles, Graham G, Giovannucci, Edward, Goodman, Gary E, Goodman, Phyllis J, Gunter, Marc J, Hamdy, Freddie C, Heliövaara, Markku, Helzlsouer, Kathy J, Henderson, Brian E, Hercberg, Serge, Hoffman-Bolton, Judy, Hoover, Robert N, Johansson, Mattias, Khaw, Kay-Tee, King, Irena B, Knekt, Paul, Kolonel, Laurence N, Le Marchand, Loic, Männistö, Satu, Martin, Richard M, Meyer, Haakon E, Mondul, Alison M, Moy, Kristin A, Neal, David E, Neuhouser, Marian L, Palli, Domenico, Platz, Elizabeth A, Pouchieu, Camille, Rissanen, Harri, Schenk, Jeannette M, Severi, Gianluca, Stampfer, Meir J, Tjønneland, Anne, Touvier, Mathilde, Trichopoulou, Antonia, Weinstein, Stephanie J, Ziegler, Regina G, Zhou, Cindy Ke, Allen, Naomi E, Biomarkers, Endogenous Hormones Nutritional, and Group, Prostate Cancer Collaborative

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Urologic Diseases, Nutrition, Prostate Cancer, Cancer, Aging, Clinical Research, Adult, Biomarkers, Carotenoids, Case-Control Studies, Cohort Studies, Cross-Sectional Studies, Humans, Lycopene, Male, Meta-Analysis as Topic, Middle Aged, Neoplasm Grading, Neoplasm Staging, Observational Studies as Topic, Prospective Studies, Prostate, Prostatic Neoplasms, Risk Factors, Vitamin A, alpha-Tocopherol, prostate cancer, carotenoids, retinol, tocopherols, vitamin E, vitamin A, pooled analysis, nested case-control study, biomarkers, Endogenous Hormones Nutritional Biomarkers Prostate Cancer Collaborative Group, Engineering, Medical and Health Sciences, Nutrition & Dietetics, Clinical sciences, Nutrition and dietetics
Abstract

BackgroundIndividual studies have suggested that circulating carotenoids, retinol, or tocopherols may be associated with prostate cancer risk, but the studies have not been large enough to provide precise estimates of associations, particularly by stage and grade of disease.ObjectiveThe objective of this study was to conduct a pooled analysis of the associations of the concentrations of 7 carotenoids, retinol, α-tocopherol, and γ-tocopherol with risk of prostate cancer and to describe whether any associations differ by stage or grade of the disease or other factors.DesignPrincipal investigators of prospective studies provided individual participant data for prostate cancer cases and controls. Risk by study-specific fifths of each biomarker was estimated by using multivariable-adjusted conditional logistic regression in matched case-control sets.ResultsData were available for up to 11,239 cases (including 1654 advanced stage and 1741 aggressive) and 18,541 controls from 15 studies. Lycopene was not associated with overall risk of prostate cancer, but there was statistically significant heterogeneity by stage of disease, and the OR for aggressive disease for the highest compared with the lowest fifth of lycopene was 0.65 (95% CI: 0.46, 0.91; P-trend = 0.032). No other carotenoid was significantly associated with overall risk of prostate cancer or with risk of advanced-stage or aggressive disease. For retinol, the OR for the highest compared with the lowest fifth was 1.13 (95% CI: 1.04, 1.22; P-trend = 0.015). For α-tocopherol, the OR for the highest compared with the lowest fifth was 0.86 (95% CI: 0.78, 0.94; P-trend < 0.001), with significant heterogeneity by stage of disease; the OR for aggressive prostate cancer was 0.74 (95% CI: 0.59, 0.92; P-trend = 0.001). γ-Tocopherol was not associated with risk.ConclusionsOverall prostate cancer risk was positively associated with retinol and inversely associated with α-tocopherol, and risk of aggressive prostate cancer was inversely associated with lycopene and α-tocopherol. Whether these associations reflect causal relations is unclear.

Published
2015

11. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33

Author

Wang, Zhaoming, Zhu, Bin, Zhang, Mingfeng, Parikh, Hemang, Jia, Jinping, Chung, Charles C, Sampson, Joshua N, Hoskins, Jason W, Hutchinson, Amy, Burdette, Laurie, Ibrahim, Abdisamad, Hautman, Christopher, Raj, Preethi S, Abnet, Christian C, Adjei, Andrew A, Ahlbom, Anders, Albanes, Demetrius, Allen, Naomi E, Ambrosone, Christine B, Aldrich, Melinda, Amiano, Pilar, Amos, Christopher, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Arici, Cecilia, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Beane Freeman, Laura E, Berg, Christine D, Berndt, Sonja I, Bertazzi, Pier Alberto, Biritwum, Richard B, Black, Amanda, Blot, William, Boeing, Heiner, Boffetta, Paolo, Bolton, Kelly, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brennan, Paul, Brinton, Louise A, Brotzman, Michelle, Bueno-de-Mesquita, H Bas, Buring, Julie E, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Cao, Guangwen, Caporaso, Neil E, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chang, Gee-Chen, Chang, I-Shou, Chang-Claude, Jenny, Che, Xu, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chung-Hsing, Chen, Constance, Chen, Kuan-Yu, Chen, Yuh-Min, Chokkalingam, Anand P, Chu, Lisa W, Clavel-Chapelon, Francoise, Colditz, Graham A, Colt, Joanne S, Conti, David, Cook, Michael B, Cortessis, Victoria K, Crawford, E David, Cussenot, Olivier, Davis, Faith G, De Vivo, Immaculata, Deng, Xiang, Ding, Ti, Dinney, Colin P, Di Stefano, Anna Luisa, Diver, W Ryan, Duell, Eric J, Elena, Joanne W, Fan, Jin-Hu, Feigelson, Heather Spencer, Feychting, Maria, Figueroa, Jonine D, Flanagan, Adrienne M, Fraumeni, Joseph F, Freedman, Neal D, Fridley, Brooke L, Fuchs, Charles S, Gago-Dominguez, Manuela, Gallinger, Steven, Gao, Yu-Tang, Gapstur, Susan M, and Garcia-Closas, Montserrat

Subjects
Biological Sciences, Genetics, Cancer, Clinical Research, Human Genome, Prevention, Aetiology, 2.1 Biological and endogenous factors, Alleles, Chromosomes, Human, Pair 5, Computational Biology, DNA Methylation, Epigenesis, Genetic, Female, Gene Expression Regulation, Neoplastic, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Membrane Proteins, Neoplasm Proteins, Neoplasms, Odds Ratio, Polymorphism, Single Nucleotide, Risk, Telomerase, Medical and Health Sciences, Genetics & Heredity
Abstract

Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10(-39); Region 3: rs2853677, P = 3.30 × 10(-36) and PConditional = 2.36 × 10(-8); Region 4: rs2736098, P = 3.87 × 10(-12) and PConditional = 5.19 × 10(-6), Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10(-6); and Region 6: rs10069690, P = 7.49 × 10(-15) and PConditional = 5.35 × 10(-7)) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10(-18) and PConditional = 7.06 × 10(-16)). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.

Published
2014

12. Genome-wide association study identifies multiple susceptibility loci for pancreatic cancer

Author

Wolpin, Brian M, Rizzato, Cosmeri, Kraft, Peter, Kooperberg, Charles, Petersen, Gloria M, Wang, Zhaoming, Arslan, Alan A, Beane-Freeman, Laura, Bracci, Paige M, Buring, Julie, Canzian, Federico, Duell, Eric J, Gallinger, Steven, Giles, Graham G, Goodman, Gary E, Goodman, Phyllis J, Jacobs, Eric J, Kamineni, Aruna, Klein, Alison P, Kolonel, Laurence N, Kulke, Matthew H, Li, Donghui, Malats, Núria, Olson, Sara H, Risch, Harvey A, Sesso, Howard D, Visvanathan, Kala, White, Emily, Zheng, Wei, Abnet, Christian C, Albanes, Demetrius, Andreotti, Gabriella, Austin, Melissa A, Barfield, Richard, Basso, Daniela, Berndt, Sonja I, Boutron-Ruault, Marie-Christine, Brotzman, Michelle, Büchler, Markus W, Bueno-de-Mesquita, H Bas, Bugert, Peter, Burdette, Laurie, Campa, Daniele, Caporaso, Neil E, Capurso, Gabriele, Chung, Charles, Cotterchio, Michelle, Costello, Eithne, Elena, Joanne, Funel, Niccola, Gaziano, J Michael, Giese, Nathalia A, Giovannucci, Edward L, Goggins, Michael, Gorman, Megan J, Gross, Myron, Haiman, Christopher A, Hassan, Manal, Helzlsouer, Kathy J, Henderson, Brian E, Holly, Elizabeth A, Hu, Nan, Hunter, David J, Innocenti, Federico, Jenab, Mazda, Kaaks, Rudolf, Key, Timothy J, Khaw, Kay-Tee, Klein, Eric A, Kogevinas, Manolis, Krogh, Vittorio, Kupcinskas, Juozas, Kurtz, Robert C, LaCroix, Andrea, Landi, Maria T, Landi, Stefano, Le Marchand, Loic, Mambrini, Andrea, Mannisto, Satu, Milne, Roger L, Nakamura, Yusuke, Oberg, Ann L, Owzar, Kouros, Patel, Alpa V, Peeters, Petra HM, Peters, Ulrike, Pezzilli, Raffaele, Piepoli, Ada, Porta, Miquel, Real, Francisco X, Riboli, Elio, Rothman, Nathaniel, Scarpa, Aldo, Shu, Xiao-Ou, Silverman, Debra T, Soucek, Pavel, Sund, Malin, Talar-Wojnarowska, Renata, Taylor, Philip R, and Theodoropoulos, George E

Subjects
Cancer, Aged, Case-Control Studies, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Pancreatic Neoplasms, Polymorphism, Single Nucleotide, White People, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We performed a multistage genome-wide association study including 7,683 individuals with pancreatic cancer and 14,397 controls of European descent. Four new loci reached genome-wide significance: rs6971499 at 7q32.3 (LINC-PINT, per-allele odds ratio (OR) = 0.79, 95% confidence interval (CI) 0.74-0.84, P = 3.0 × 10(-12)), rs7190458 at 16q23.1 (BCAR1/CTRB1/CTRB2, OR = 1.46, 95% CI 1.30-1.65, P = 1.1 × 10(-10)), rs9581943 at 13q12.2 (PDX1, OR = 1.15, 95% CI 1.10-1.20, P = 2.4 × 10(-9)) and rs16986825 at 22q12.1 (ZNRF3, OR = 1.18, 95% CI 1.12-1.25, P = 1.2 × 10(-8)). We identified an independent signal in exon 2 of TERT at the established region 5p15.33 (rs2736098, OR = 0.80, 95% CI 0.76-0.85, P = 9.8 × 10(-14)). We also identified a locus at 8q24.21 (rs1561927, P = 1.3 × 10(-7)) that approached genome-wide significance located 455 kb telomeric of PVT1. Our study identified multiple new susceptibility alleles for pancreatic cancer that are worthy of follow-up studies.

Published
2014

13. Genome-wide association study of survival in patients with pancreatic adenocarcinoma

Author

Wu, Chen, Kraft, Peter, Stolzenberg-Solomon, Rachael, Steplowski, Emily, Brotzman, Michelle, Xu, Mousheng, Mudgal, Poorva, Amundadottir, Laufey, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, Kooperberg, Charles, Petersen, Gloria M, Zheng, Wei, Albanes, Demetrius, Boutron-Ruault, Marie-Christine, Buring, Julie E, Canzian, Federico, Cao, Guangwen, Duell, Eric J, Elena, Joanne W, Gaziano, J Michael, Giovannucci, Edward L, Hallmans, Goran, Hutchinson, Amy, Hunter, David J, Jenab, Mazda, Jiang, Guoliang, Khaw, Kay-Tee, LaCroix, Andrea, Li, Zhaoshen, Mendelsohn, Julie B, Panico, Salvatore, Patel, Alpa V, Qian, Zhi Rong, Riboli, Elio, Sesso, Howard, Shen, Hongbing, Shu, Xiao-Ou, Tjonneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Virtamo, Jarmo, Visvanathan, Kala, Wactawski-Wende, Jean, Wang, Chengfeng, Yu, Kai, Zeleniuch-Jacquotte, Anne, Chanock, Stephen, Hoover, Robert, Hartge, Patricia, Fuchs, Charles S, Lin, Dongxin, and Wolpin, Brian M

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Digestive Diseases, Prevention, Rare Diseases, Pancreatic Cancer, Genetics, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Adenocarcinoma, Adult, Aged, Aged, 80 and over, Asian People, Biomarkers, Tumor, China, Europe, Female, Follow-Up Studies, Genome-Wide Association Study, Humans, Kaplan-Meier Estimate, Male, Middle Aged, Models, Genetic, Pancreatic Neoplasms, Polymorphism, Single Nucleotide, Principal Component Analysis, Proportional Hazards Models, Protein Tyrosine Phosphatases, Non-Receptor, Survival Rate, White People, Cancer Genetics, Molecular Epidemiology, Clinical Sciences, Paediatrics and Reproductive Medicine, Gastroenterology & Hepatology, Clinical sciences, Nutrition and dietetics
Abstract

Background and objectiveSurvival of patients with pancreatic adenocarcinoma is limited and few prognostic factors are known. We conducted a two-stage genome-wide association study (GWAS) to identify germline variants associated with survival in patients with pancreatic adenocarcinoma.MethodsWe analysed overall survival in relation to single nucleotide polymorphisms (SNPs) among 1005 patients from two large GWAS datasets, PanScan I and ChinaPC. Cox proportional hazards regression was used in an additive genetic model with adjustment for age, sex, clinical stage and the top four principal components of population stratification. The first stage included 642 cases of European ancestry (PanScan), from which the top SNPs (p≤10(-5)) were advanced to a joint analysis with 363 additional patients from China (ChinaPC).ResultsIn the first stage of cases of European descent, the top-ranked loci were at chromosomes 11p15.4, 18p11.21 and 1p36.13, tagged by rs12362504 (p=1.63×10(-7)), rs981621 (p=1.65×10(-7)) and rs16861827 (p=3.75×10(-7)), respectively. 131 SNPs with p≤10(-5) were advanced to a joint analysis with cases from the ChinaPC study. In the joint analysis, the top-ranked SNP was rs10500715 (minor allele frequency, 0.37; p=1.72×10(-7)) on chromosome 11p15.4, which is intronic to the SET binding factor 2 (SBF2) gene. The HR (95% CI) for death was 0.74 (0.66 to 0.84) in PanScan I, 0.79 (0.65 to 0.97) in ChinaPC and 0.76 (0.68 to 0.84) in the joint analysis.ConclusionsGermline genetic variation in the SBF2 locus was associated with overall survival in patients with pancreatic adenocarcinoma of European and Asian ancestry. This association should be investigated in additional large patient cohorts.

Published
2014

14. Diabetes and risk of pancreatic cancer: a pooled analysis from the pancreatic cancer cohort consortium

Author

Elena, Joanne W, Steplowski, Emily, Yu, Kai, Hartge, Patricia, Tobias, Geoffrey S, Brotzman, Michelle J, Chanock, Stephen J, Stolzenberg-Solomon, Rachael Z, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Petersen, Gloria, Zheng, Wei, Albanes, Demetrius, Allen, Naomi E, Amundadottir, Laufey, Bao, Ying, Boeing, Heiner, Boutron-Ruault, Marie-Christine, Buring, Julie E, Gaziano, J Michael, Giovannucci, Edward L, Duell, Eric J, Hallmans, Göran, Howard, Barbara V, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Kooperberg, Charles, Kraft, Peter, Mendelsohn, Julie B, Michaud, Dominique S, Palli, Domenico, Phillips, Lawrence S, Overvad, Kim, Patel, Alpa V, Sansbury, Leah, Shu, Xiao-Ou, Simon, Michael S, Slimani, Nadia, Trichopoulos, Dimitrios, Visvanathan, Kala, Virtamo, Jarmo, Wolpin, Brian M, Zeleniuch-Jacquotte, Anne, Fuchs, Charles S, Hoover, Robert N, and Gross, Myron

Subjects
Biomedical and Clinical Sciences, Epidemiology, Health Services and Systems, Health Sciences, Oncology and Carcinogenesis, Rare Diseases, Cancer, Pancreatic Cancer, Prevention, Digestive Diseases, Clinical Research, Diabetes, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Good Health and Well Being, Adenocarcinoma, Adult, Aged, Aged, 80 and over, Case-Control Studies, Cohort Studies, Diabetes Complications, Diabetes Mellitus, Female, Humans, Male, Middle Aged, Pancreatic Neoplasms, Risk Factors, Public Health and Health Services, Oncology and carcinogenesis
Abstract

PurposeDiabetes is a suspected risk factor for pancreatic cancer, but questions remain about whether it is a risk factor or a result of the disease. This study prospectively examined the association between diabetes and the risk of pancreatic adenocarcinoma in pooled data from the NCI pancreatic cancer cohort consortium (PanScan).MethodsThe pooled data included 1,621 pancreatic adenocarcinoma cases and 1,719 matched controls from twelve cohorts using a nested case-control study design. Subjects who were diagnosed with diabetes near the time (

Published
2013

15. Anthropometric Measures, Body Mass Index, and Pancreatic Cancer: A Pooled Analysis From the Pancreatic Cancer Cohort Consortium (PanScan)

Author

Arslan, Alan A, Helzlsouer, Kathy J, Kooperberg, Charles, Shu, Xiao-Ou, Steplowski, Emily, Bueno-de-Mesquita, H Bas, Fuchs, Charles S, Gross, Myron D, Jacobs, Eric J, Lacroix, Andrea Z, Petersen, Gloria M, Stolzenberg-Solomon, Rachael Z, Zheng, Wei, Albanes, Demetrius, Amundadottir, Laufey, Bamlet, William R, Barricarte, Aurelio, Bingham, Sheila A, Boeing, Heiner, Boutron-Ruault, Marie-Christine, Buring, Julie E, Chanock, Stephen J, Clipp, Sandra, Gaziano, J Michael, Giovannucci, Edward L, Hankinson, Susan E, Hartge, Patricia, Hoover, Robert N, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin B, Kraft, Peter, Lynch, Shannon M, Manjer, Jonas, Manson, Joann E, McTiernan, Anne, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Palli, Domenico, Rohan, Thomas E, Slimani, Nadia, Thomas, Gilles, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Virtamo, Jarmo, Wolpin, Brian M, Yu, Kai, Zeleniuch-Jacquotte, Anne, and Patel, Alpa V

Subjects
Obesity, Cancer, Clinical Research, Nutrition, Prevention, Pancreatic Cancer, Rare Diseases, Digestive Diseases, Adult, Aged, Aged, 80 and over, Body Mass Index, Case-Control Studies, Female, Humans, Logistic Models, Male, Middle Aged, Overweight, Pancreatic Neoplasms, Risk Factors, Sex Distribution, United States, Waist Circumference, Pancreatic Cancer Cohort Consortium, Clinical Sciences, Opthalmology and Optometry, Public Health and Health Services
Abstract

BackgroundObesity has been proposed as a risk factor for pancreatic cancer.MethodsPooled data were analyzed from the National Cancer Institute Pancreatic Cancer Cohort Consortium (PanScan) to study the association between prediagnostic anthropometric measures and risk of pancreatic cancer. PanScan applied a nested case-control study design and included 2170 cases and 2209 control subjects. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using unconditional logistic regression for cohort-specific quartiles of body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]), weight, height, waist circumference, and waist to hip ratio as well as conventional BMI categories (underweight, or = 35.0). Models were adjusted for potential confounders.ResultsIn all of the participants, a positive association between increasing BMI and risk of pancreatic cancer was observed (adjusted OR for the highest vs lowest BMI quartile, 1.33; 95% CI, 1.12-1.58; P(trend) < .001). In men, the adjusted OR for pancreatic cancer for the highest vs lowest quartile of BMI was 1.33 (95% CI, 1.04-1.69; P(trend) < .03), and in women it was 1.34 (95% CI, 1.05-1.70; P(trend) = .01). Increased waist to hip ratio was associated with increased risk of pancreatic cancer in women (adjusted OR for the highest vs lowest quartile, 1.87; 95% CI, 1.31-2.69; P(trend) = .003) but less so in men.ConclusionsThese findings provide strong support for a positive association between BMI and pancreatic cancer risk. In addition, centralized fat distribution may increase pancreatic cancer risk, especially in women.

Published
2010

16. Pancreatic cancer risk and ABO blood group alleles: results from the pancreatic cancer cohort consortium.

Author

Wolpin, Brian M, Kraft, Peter, Gross, Myron, Helzlsouer, Kathy, Bueno-de-Mesquita, H Bas, Steplowski, Emily, Stolzenberg-Solomon, Rachael Z, Arslan, Alan A, Jacobs, Eric J, Lacroix, Andrea, Petersen, Gloria, Zheng, Wei, Albanes, Demetrius, Allen, Naomi E, Amundadottir, Laufey, Anderson, Garnet, Boutron-Ruault, Marie-Christine, Buring, Julie E, Canzian, Federico, Chanock, Stephen J, Clipp, Sandra, Gaziano, John Michael, Giovannucci, Edward L, Hallmans, Göran, Hankinson, Susan E, Hoover, Robert N, Hunter, David J, Hutchinson, Amy, Jacobs, Kevin, Kooperberg, Charles, Lynch, Shannon M, Mendelsohn, Julie B, Michaud, Dominique S, Overvad, Kim, Patel, Alpa V, Rajkovic, Aleksandar, Sanchéz, Maria-José, Shu, Xiao-Ou, Slimani, Nadia, Thomas, Gilles, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Vineis, Paolo, Virtamo, Jarmo, Wactawski-Wende, Jean, Yu, Kai, Zeleniuch-Jacquotte, Anne, Hartge, Patricia, and Fuchs, Charles S

Subjects
Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, ABO Blood-Group System, Logistic Models, Odds Ratio, Risk Factors, Cohort Studies, Gene Frequency, Genotype, Alleles, Aged, Middle Aged, Female, Male, Clinical Research, Genetics, Pancreatic Cancer, Rare Diseases, Digestive Diseases, Cancer, Prevention, 2.1 Biological and endogenous factors, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

A recent genome-wide association study (PanScan) identified significant associations at the ABO gene locus with risk of pancreatic cancer, but the influence of specific ABO genotypes remains unknown. We determined ABO genotypes (OO, AO, AA, AB, BO, and BB) in 1,534 cases and 1,583 controls from 12 prospective cohorts in PanScan, grouping participants by genotype-derived serologic blood type (O, A, AB, and B). Adjusted odds ratios (ORs) for pancreatic cancer by ABO alleles were calculated using logistic regression. Compared with blood type O, the ORs for pancreatic cancer in subjects with types A, AB, and B were 1.38 [95% confidence interval (95% CI), 1.18-1.62], 1.47 (95% CI, 1.07-2.02), and 1.53 (95% CI, 1.21-1.92), respectively. The incidence rates for blood types O, A, AB, and B were 28.9, 39.9, 41.8, and 44.5 cases per 100,000 subjects per year. An increase in risk was noted with the addition of each non-O allele. Compared with OO genotype, subjects with AO and AA genotype had ORs of 1.33 (95% CI, 1.13-1.58) and 1.61 (95% CI, 1.22-2.18), whereas subjects with BO and BB genotypes had ORs of 1.45 (95% CI, 1.14-1.85) and 2.42 (1.28-4.57). The population attributable fraction for non-O blood type was 19.5%. In a joint model with smoking, current smokers with non-O blood type had an adjusted OR of 2.68 (95% CI, 2.03-3.54) compared with nonsmokers of blood type O. We concluded that ABO genotypes were significantly associated with pancreatic cancer risk.

Published
2010

17. Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer.

Author

Amundadottir, Laufey, Kraft, Peter, Stolzenberg-Solomon, Rachael Z, Fuchs, Charles S, Petersen, Gloria M, Arslan, Alan A, Bueno-de-Mesquita, H Bas, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Zheng, Wei, Albanes, Demetrius, Bamlet, William, Berg, Christine D, Berrino, Franco, Bingham, Sheila, Buring, Julie E, Bracci, Paige M, Canzian, Federico, Clavel-Chapelon, Françoise, Clipp, Sandra, Cotterchio, Michelle, de Andrade, Mariza, Duell, Eric J, Fox, John W, Gallinger, Steven, Gaziano, J Michael, Giovannucci, Edward L, Goggins, Michael, González, Carlos A, Hallmans, Göran, Hankinson, Susan E, Hassan, Manal, Holly, Elizabeth A, Hunter, David J, Hutchinson, Amy, Jackson, Rebecca, Jacobs, Kevin B, Jenab, Mazda, Kaaks, Rudolf, Klein, Alison P, Kooperberg, Charles, Kurtz, Robert C, Li, Donghui, Lynch, Shannon M, Mandelson, Margaret, McWilliams, Robert R, Mendelsohn, Julie B, Michaud, Dominique S, Olson, Sara H, Overvad, Kim, Patel, Alpa V, Peeters, Petra HM, Rajkovic, Aleksandar, Riboli, Elio, Risch, Harvey A, Shu, Xiao-Ou, Thomas, Gilles, Tobias, Geoffrey S, Trichopoulos, Dimitrios, Van Den Eeden, Stephen K, Virtamo, Jarmo, Wactawski-Wende, Jean, Wolpin, Brian M, Yu, Herbert, Yu, Kai, Zeleniuch-Jacquotte, Anne, Chanock, Stephen J, Hartge, Patricia, and Hoover, Robert N

Subjects
Chromosomes, Human, Pair 9, Humans, Pancreatic Neoplasms, Genetic Predisposition to Disease, ABO Blood-Group System, Logistic Models, Odds Ratio, Risk Factors, Case-Control Studies, Cohort Studies, Prospective Studies, Gene Frequency, Genotype, Haplotypes, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Alleles, Introns, United States, Female, Male, Genetic Variation, Genome-Wide Association Study, Prevention, Rare Diseases, Cancer, Genetics, Clinical Research, Pancreatic Cancer, Digestive Diseases, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We conducted a two-stage genome-wide association study of pancreatic cancer, a cancer with one of the lowest survival rates worldwide. We genotyped 558,542 SNPs in 1,896 individuals with pancreatic cancer and 1,939 controls drawn from 12 prospective cohorts plus one hospital-based case-control study. We conducted a combined analysis of these groups plus an additional 2,457 affected individuals and 2,654 controls from eight case-control studies, adjusting for study, sex, ancestry and five principal components. We identified an association between a locus on 9q34 and pancreatic cancer marked by the SNP rs505922 (combined P = 5.37 x 10(-8); multiplicative per-allele odds ratio 1.20; 95% confidence interval 1.12-1.28). This SNP maps to the first intron of the ABO blood group gene. Our results are consistent with earlier epidemiologic evidence suggesting that people with blood group O may have a lower risk of pancreatic cancer than those with groups A or B.

Published
2009

18. Cigarette Smoking and Pancreatic Cancer: A Pooled Analysis From the Pancreatic Cancer Cohort Consortium

Author

Lynch, Shannon M, Vrieling, Alina, Lubin, Jay H, Kraft, Peter, Mendelsohn, Julie B, Hartge, Patricia, Canzian, Federico, Steplowski, Emily, Arslan, Alan A, Gross, Myron, Helzlsouer, Kathy, Jacobs, Eric J, LaCroix, Andrea, Petersen, Gloria, Zheng, Wei, Albanes, Demetrius, Amundadottir, Laufey, Bingham, Sheila A, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Chanock, Stephen J, Clipp, Sandra, Hoover, Robert N, Jacobs, Kevin, Johnson, Karen C, Kooperberg, Charles, Luo, Juhua, Messina, Catherine, Palli, Domenico, Patel, Alpa V, Riboli, Elio, Shu, Xiao-Ou, Rodriguez Suarez, Laudina, Thomas, Gilles, Tjønneland, Anne, Tobias, Geoffrey S, Tong, Elissa, Trichopoulos, Dimitrios, Virtamo, Jarmo, Ye, Weimin, Yu, Kai, Zeleniuch-Jacquette, Anne, Bueno-de-Mesquita, H Bas, and Stolzenberg-Solomon, Rachael Z

Subjects
Tobacco, Digestive Diseases, Cancer, Pancreatic Cancer, Rare Diseases, Prevention, Tobacco Smoke and Health, Prevention of disease and conditions, and promotion of well-being, 3.1 Primary prevention interventions to modify behaviours or promote wellbeing, Adenocarcinoma, Adult, Aged, Aged, 80 and over, Case-Control Studies, Cohort Studies, Female, Humans, Male, Middle Aged, Pancreatic Neoplasms, Prospective Studies, Risk, Smoking, Smoking Cessation, United States, pancreas, pancreatic neoplasms, smoking, tobacco use cessation, Mathematical Sciences, Medical and Health Sciences, Epidemiology
Abstract

Smoking is an established risk factor for pancreatic cancer; however, detailed examination of the association of smoking intensity, smoking duration, and cumulative smoking dose with pancreatic cancer is limited. The authors analyzed pooled data from the international Pancreatic Cancer Cohort Consortium nested case-control study (1,481 cases, 1,539 controls). Odds ratios and 95% confidence intervals were calculated by using unconditional logistic regression. Smoking intensity effects were examined with an excess odds ratio model that was linear in pack-years and exponential in cigarettes smoked per day and its square. When compared with never smokers, current smokers had a significantly elevated risk (odds ratio (OR) = 1.77, 95% confidence interval (CI): 1.38, 2.26). Risk increased significantly with greater intensity (> or =30 cigarettes/day: OR = 1.75, 95% CI: 1.27, 2.42), duration (> or =50 years: OR = 2.13, 95% CI: 1.25, 3.62), and cumulative smoking dose (> or =40 pack-years: OR = 1.78, 95% CI: 1.35, 2.34). Risk more than 15 years after smoking cessation was similar to that for never smokers. Estimates of excess odds ratio per pack-year declined with increasing intensity, suggesting greater risk for total exposure delivered at lower intensity for longer duration than for higher intensity for shorter duration. This finding and the decline in risk after smoking cessation suggest that smoking has a late-stage effect on pancreatic carcinogenesis.

Published
2009

19. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses

Author

Khoei, Nazlisadat Seyed, Jenab, Mazda, Murphy, Neil, Banbury, Barbara L., Carreras Torres, Robert, Viallon, Vivian, Kühn, Tilman, Bueno de Mesquita, H. Bas, Aleksandrova, Krasimira, Cross, Amanda J., Weiderpass, Elisabete, Stepien, Magdalena, Bulmer, Andrew, Tjønneland, Anne, Boutron-Ruault, Marie-Christine, Severi, Gianluca, Carbonnel, Franck, Katzke, Verena, Boeing, Heiner, Bergmann, Manuela M., Trichopoulou, Antonia, Karakatsani, Anna, Martimianaki, Georgia, Palli, Domenico, Tagliabue, Giovanna, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Skeie, Guri, Merino, Susana, Bonet Bonet, Catalina, Rodríguez Barranco, Miguel, Gil, Leire, Chirlaque, María Dolores, Ardanaz, Eva, Myte, Robin, Hultdin, Johan, Pérez Cornago, Aurora, Aune, Dagfinn, Tsilidis, Konstantinos K., Albanes, Demetrius, Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Brenner, Hermann, Campbell, Peter T., Casey, Graham, Chan, Andrew T., Chang Claude, Jenny, Chanock, Stephen J., Cotterchio, Michelle, Gallinger, Steven, Gruber, Stephen B., Haile, Robert W., Hampe, Jochen, Hoffmeister, Michael, Hopper, John L., Hsu, Li, Huyghe, Jeroen R., Jenkins, Mark A., Joshi, Amit D., Kampman, Ellen, Larsson, Susanna C., Marchand, Loïc Le, Li, Christopher I., Li, Li, Lindblom, Annika, Lindor, Noralane M., Martín Sánchez, Vicente, Moreno Aguado, Víctor, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Parfrey, Patrick S., Pharoah, Paul D. P., Rennert, Gad, Sakoda, Lori C., Schafmayer, Clemens, Schmit, Stephanie L., Schoen, Robert E., Slattery, Martha L., Thibodeau, Stephen N., Ulrich, Cornelia M., van Duijnhoven, Franzel J. B., Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zhang, Xuehong, Ferrari, Pietro, Anton, Gabriele, Peters, Annette, Peters, Ulrike, Gunter, Marc J., Wagner, Karl-Heinz, Freisling, Heinz, Apollo - University of Cambridge Repository, and Pharoah, Paul [0000-0001-8494-732X]

Subjects
Adult, Male, Nutrition and Disease, Mendelian randomization analysis, lcsh:Medicine, Polymorphism, Single Nucleotide, Antioxidants, Càncer colorectal, Risk Factors, Voeding en Ziekte, Humans, Prospective Studies, VLAG, Cancer, Aged, lcsh:R, Bilirubin, Middle Aged, Colorectal cancer, Europe, Case-Control Studies, Anti-oxidants, Female, Colorectal Neoplasms, Research Article
Abstract

Background: Bilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex. Methods: In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 × 10−8) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study. Results: The associations between circulating UCB levels and CRC risk differed by sex (Pheterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04–1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76–0.97)). In the MR analysis of the main UGT1A1 SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02–1.12); P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96–1.06); P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs6431625, were suggestive of an inverse association with CRC in men, but not in women. These differences by sex did not reach formal statistical significance (Pheterogeneity ≥ 0.2). Conclusions: Additional insight into the relationship between circulating bilirubin and CRC is needed in order to conclude on a potential causal role of bilirubin in CRC development.

Published
2020

20. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Author

Rodriguez-Martinez, Andrea, Zhou, Bin, Sophiea, Marisa K, Bentham, James, Paciorek, Christopher J, Iurilli, Maria LC, Carrillo-Larco, Rodrigo M, Bennett, James E, Di Cesare, Mariachiara, Taddei, Cristina, Bixby, Honor, Stevens, Gretchen A, Riley, Leanne M, Cowan, Melanie J, Savin, Stefan, Danaei, Goodarz, Chirita-Emandi, Adela, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Malekzadeh, Reza, Miranda, J Jaime, Moon, Jin Soo, Popovic, Stevo R, Sorensen, Thorkild IA, Soric, Maroje, Starc, Gregor, Zainuddin, Ahmad A, Gregg, Edward W, Bhutta, Zulfiqar A, Black, Robert, Ezzati, Majid, Abarca-Gomez, Leandra, Abdeen, Ziad A, Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Rahim, Hanan F Abdul, Abu-Rmeileh, Niveen M, Garba, Jamila Abubakar, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alkandari, Abdullah, Alkerwi, Ala'a, Allin, Kristine, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiri, Parisa, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Angquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araujo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assuncao, Maria Cecilia F, Aung, May Soe, Auvinen, Juha, Avdicova, Maria, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Jorgensen, Maja Baeksgaard, Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R, Baran, Joanna, Barbagallo, Carlo M, Barcelo, Alberto, Barkat, Amina, Barros, Aluisio JD, Barros, Mauro Virgilio Gomes, Basit, Abdul, Bastos, Joao Luiz D, Bata, Iqbal, Batieha, Anwar M, Batista, Rosangela L, Battakova, Zhamilya, Batyrbek, Assembekov, Baur, Louise A, Beaglehole, Robert, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedics, Judith, Benet, Mikhail, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloisa, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bi, Hongsheng, Bi, Yufang, Bia, Daniel, Lele, Elysee Claude Bika, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Bjorkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boeing, Heiner, Boggia, Jose G, Bogova, Elena, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Bovet, Pascal, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn CE, Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, Joao, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Brinduse, Lacramioara, Brophy, Sinead, Bruno, Graziella, Bueno-de-Mesquita, H Bas, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, de Leon, Antonio Cabrera, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, Jose, Can, Gunay, Candido, Ana Paula C, Canete, Felicia, Capanzana, Mario V, Capkova, Nadezda, Capuano, Eduardo, Capuano, Vincenzo, Cardol, Marloes, Cardoso, Viviane C, Carlsson, Axel C, Carmuega, Esteban, Carvalho, Joana, Casajus, Jose A, Casanueva, Felipe F, Celikcan, Ertugrul, Censi, Laura, Cervantes-Loaiza, Marvin, Cesar, Juraci A, Chamukuttan, Snehalatha, Chan, Angelique W, Chan, Queenie, Chaturvedi, Himanshu K, Chaturvedi, Nish, Rahim, Norsyamlina Che Abdul, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chiolero, Arnaud, Chiou, Shu-Ti, Chirlaque, Maria-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Claessens, Frank, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Concin, Hans, Confortin, Susana C, Cooper, Cyrus, Coppinger, Tara C, Corpeleijn, Eva, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crampin, Amelia C, Crujeiras, Ana B, Csilla, Semanova, Cucu, Alexandra M, Cui, Liufu, Cureau, Felipe V, D'Arrigo, Graziella, d'Orsi, Eleonora, Dacica, Liliana, Saavedra, Maria Angeles Dal Re, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T, Dankner, Rachel, Dantoft, Thomas M, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, De Backer, Guy, De Bacquer, Dirk, de Gaetano, Giovanni, De Henauw, Stefaan, de Oliveira, Paula Duarte, De Ridder, David, De Ridder, Karin, de Rooij, Susanne R, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, DeGennaro, Vincent, Dehghan, Abbas, Delisle, Helene, Delpeuch, Francis, Demarest, Stefaan, Dennison, Elaine, Deren, Katarzyna, Deschamps, Valerie, Dhana, Klodian, Dhimal, Meghnath, Di Castelnuovo, Augusto F, Dias-da-Costa, Juvenal Soares, Diaz-Sanchez, Maria Elena, Diaz, Alejandro, Dika, Zivka, Djalalinia, Shirin, Djordjic, Visnja, Do, Ha TP, Dobson, Annette J, Donati, Maria Benedetta, Donfrancesco, Chiara, Donoso, Silvana P, Doring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Doua, Kouamelan, Drygas, Wojciech, Duan, Jia Li, Duante, Charmaine A, Duboz, Priscilla, Duda, Rosemary B, Duleva, Vesselka, Dulskiene, Virginija, Dumith, Samuel C, Dushpanova, Anar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Eddie, Ricky, Eftekhar, Ebrahim, Egbagbe, Eruke E, Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ati, Jalila, Eldemire-Shearer, Denise, Eliasen, Marie, Elliott, Paul, Engle-Stone, Reina, Enguerran, Macia, Erasmus, Rajiv T, Erbel, Raimund, Erem, Cihangir, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Pena, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Faeh, David, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Sant'Angelo, Victoria Farrugia, Farzadfar, Farshad, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernandez-Berges, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferrer, Eldridge, Ferrieres, Jean, Figueiro, Thamara Hubler, Fijalkowska, Anna, Fink, Gunther, Fischer, Krista, Foger, Bernhard, Foo, Leng Huat, Forsner, Maria, Fouad, Heba M, Francis, Damian K, Franco, Maria do Carmo, Franco, Oscar H, Frikke-Schmidt, Ruth, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujiati, Isti I, Fujita, Yuki, Fumihiko, Matsuda, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Galbarczyk, Andrzej, Galenkamp, Henrike, Galeone, Daniela, Galfo, Myriam, Galvano, Fabio, Gao, Jingli, Garcia-de-la-Hera, Manoli, Garcia-Solano, Marta, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gaya, Adroaldo Cesar Araujo, Gaya, Anelise Reis, Gazzinelli, Andrea, Gehring, Ulrike, Geiger, Harald, Geleijnse, Johanna M, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Giampaoli, Simona, Gianfagna, Francesco, Gill, Tiffany K, Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Godos, Justyna, Gogen, Sibel, Goldsmith, Rebecca A, Goltzman, David, Gomez, Santiago F, Gomula, Aleksandra, da Silva, Bruna Goncalves Cordeiro, Goncalves, Helen, Gonzalez-Chica, David A, Gonzalez-Gross, Marcela, Gonzalez-Leon, Margot, Gonzalez-Rivas, Juan P, Gonzalez-Villalpando, Clicerio, Gonzalez-Villalpando, Maria-Elena, Gonzalez, Angel R, Gottrand, Frederic, Graca, Antonio Pedro, Graff-Iversen, Sidsel, Grafnetter, Dusan, Grajda, Aneta, Grammatikopoulou, Maria G, Gregor, Ronald D, Grodzicki, Tomasz, Groholt, Else Karin, Grontved, Anders, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Gualdi-Russo, Emanuela, Guallar-Castillon, Pilar, Gualtieri, Andrea, Gudmundsson, Elias F, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L, Gulliford, Martin C, Gunnlaugsdottir, Johanna, Gunter, Marc J, Guo, Xiu-Hua, Guo, Yin, Gupta, Prakash C, Gupta, Rajeev, Gureje, Oye, Gurzkowska, Beata, Gutierrez-Gonzalez, Enrique, Gutierrez, Laura, Gutzwiller, Felix, Ha, Seongjun, Hadaegh, Farzad, Hadjigeorgiou, Charalambos A, Haghshenas, Rosa, Hakimi, Hamid, Halkjaer, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Kumar, Rachakulla Hari, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J, He, Jiang, He, Yuan, He, Yuna, Heidinger-Felso, Regina, Heinen, Mirjam, Hejgaard, Tatjana, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Cadena, Leticia Hernandez, Herrala, Sauli, Herrera, Victor M, Herter-Aeberli, Isabelle, Heshmat, Ramin, Hill, Allan G, Ho, Sai Yin, Ho, Suzanne C, Hobbs, Michael, Hofman, Albert, Bergh, Ingunn Holden, Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hopman, Wilma M, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Thein, Thein Htay, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, Jose Maria, Huhtaniemi, Ilpo Tapani, Petrescu, Constanta Huidumac, Husseini, Abdullatif, Chinh, Nguyen Huu, Huybrechts, Inge, Hwalla, Nahla, Hyska, Jolanda, Iacoviello, Licia, Ibarluzea, Jesus M, Ibrahim, Mohsen M, Wong, Norazizah Ibrahim, Ikeda, Nayu, Ikram, M Arfan, Iotova, Violeta, Irazola, Vilma E, Ishida, Takafumi, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Iwasaki, Masanori, Jackson, Rod T, Jacobs, Jeremy M, Jaddou, Hashem Y, Jafar, Tazeen, James, Kenneth, Jamil, Kazi M, Jamrozik, Konrad, Janszky, Imre, Janus, Edward, Jarani, Juel, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelakovic, Ana, Jelakovic, Bojan, Jennings, Garry, Jha, Anjani Kumar, Jiang, Chao Qiang, Jimenez, Ramon O, Jockel, Karl-Heinz, Joffres, Michel, Johansson, Mattias, Jokelainen, Jari J, Jonas, Jost B, Jorgensen, Torben, Joshi, Pradeep, Joukar, Farahnaz, Jovic, Dragana P, Jozwiak, Jacek J, Juolevi, Anne, Jurak, Gregor, Simina, Iulia Jurca, Juresa, Vesna, Kaaks, Rudolf, Kaducu, Felix O, Kafatos, Anthony, Kajantie, Eero O, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Kameli, Yves, Kanala, Kodanda R, Kannan, Srinivasan, Kapantais, Efthymios, Karki, Khem B, Katibeh, Marzieh, Katz, Joanne, Katzmarzyk, Peter T, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M, Keil, Ulrich, Boker, Lital Keinan, Keinanen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han CG, Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, 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De Ridder K, de Rooij SR, De Smedt D, Deepa M, Deev AD, DeGennaro V, Jr, Dehghan A, Delisle H, Delpeuch F, Demarest S, Dennison E, Deren K, Deschamps V, Dhana K, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Díaz-Sánchez ME, Diaz A, Dika Z, Djalalinia S, Djordjic V, Do HT, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, Doua K, Drygas W, Duan JL, Duante CA, Duboz P, Duda RB, Duleva V, Dulskiene V, Dumith SC, Dushpanova A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Egbagbe EE, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elliott P, Engle-Stone R, Enguerran M, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Farrugia Sant'Angelo V, Farzadfar F, Fattahi MR, Fawwad A, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferrer E, Ferrieres J, Figueiró TH, Fijalkowska A, Fink G, Fischer K, Föger B, Foo LH, Forsner M, Fouad HM, Francis DK, Franco MDC, Franco OH, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujiati II, Fujita Y, Fumihiko M, Furusawa T, Gaciong Z, Gafencu M, Galbarczyk A, Galenkamp H, Galeone D, Galfo M, Galvano F, Gao J, Garcia-de-la-Hera M, García-Solano M, Gareta D, Garnett SP, Gaspoz J-M, Gasull M, Gaya ACA, Gaya AR, Gazzinelli A, Gehring U, Geiger H, Geleijnse JM, Ghanbari A, Ghasemi E, Gheorghe-Fronea O-F, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Godos J, Gogen S, Goldsmith RA, Goltzman D, Gómez SF, Gomula A, Goncalves Cordeiro da Silva B, Gonçalves H, Gonzalez-Chica DA, Gonzalez-Gross M, González-Leon M, González-Rivas JP, González-Villalpando C, González-Villalpando M-E, Gonzalez AR, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøholt EK, 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Banach M., Bandosz P., Banegas J.R., Baran J., Barbagallo C.M., Barcelo A., Barkat A., Barros A.J., Barros M.V.G., Basit A., Bastos J.L.D., Bata I., Batieha A.M., Batista R.L., Battakova Z., Batyrbek A., Baur L.A., Beaglehole R., Bel-Serrat S., Belavendra A., Ben Romdhane H., Benedics J., Benet M., Berkinbayev S., Bernabe-Ortiz A., Bernotiene G., Bettiol H., Bezerra J., Bhagyalaxmi A., Bharadwaj S., Bhargava S.K., Bi H., Bi Y., Bia D., Bika Lele E.C., Bikbov M.M., Bista B., Bjelica D.J., Bjerregaard P., Bjertness E., Bjertness M.B., Bjorkelund C., Bloch K.V., Blokstra A., Bo S., Bobak M., Boddy L.M., Boehm B.O., Boeing H., Boggia J.G., Bogova E., Boissonnet C.P., Bojesen S.E., Bonaccio M., Bongard V., Bonilla-Vargas A., Bopp M., Borghs H., Bovet P., Braeckevelt L., Braeckman L., Bragt M.C., Brajkovich I., Branca F., Breckenkamp J., Breda J., Brenner H., Brewster L.M., Brian G.R., Brinduse L., Brophy S., Bruno G., Bueno-de-Mesquita H.B., Bugge A., Buoncristiano M., Burazeri G., Burns C., Cabrera de Leon A., Cacciottolo J., Cai H., Cama T., Cameron C., Camolas J., Can G., Candido A.P.C., Canete F., Capanzana M.V., Capkova N., Capuano E., Capuano V., Cardol M., Cardoso V.C., Carlsson A.C., Carmuega E., Carvalho J., Casajus J.A., Casanueva F.F., Celikcan E., Censi L., Cervantes-Loaiza M., Cesar J.A., Chamukuttan S., Chan A.W., Chan Q., Chaturvedi H.K., Chaturvedi N., Che Abdul Rahim N., Chen C.-J., Chen F., Chen H., Chen S., Chen Z., Cheng C.-Y., Cheraghian B., Chetrit A., Chikova-Iscener E., Chiolero A., Chiou S.-T., Chirlaque M.-D., Cho B., Christensen K., Christofaro D.G., Chudek J., Cifkova R., Cilia M., Cinteza E., Claessens F., Clarke J., Clays E., Cohen E., Concin H., Confortin S.C., Cooper C., Coppinger T.C., Corpeleijn E., Costanzo S., Cottel D., Cowell C., Craig C.L., Crampin A.C., Crujeiras A.B., Csilla S., Cucu A.M., Cui L., Cureau F.V., D'Arrigo G., d'Orsi E., Dacica L., Dal Re Saavedra M.A., Dallongeville J., Damasceno A., Damsgaard C.T., Dankner R., Dantoft T.M., Dasgupta P., Dastgiri S., Dauchet L., Davletov K., De Backer G., De Bacquer D., de Gaetano G., De Henauw S., de Oliveira P.D., De Ridder D., De Ridder K., de Rooij S.R., De Smedt D., Deepa M., Deev A.D., DeGennaro V., Dehghan A., Delisle H., Delpeuch F., Demarest S., Dennison E., Deren K., Deschamps V., Dhana K., Dhimal M., Di Castelnuovo A.F., Dias-da-Costa J.S., Diaz-Sanchez M.E., Diaz A., Dika Z., Djalalinia S., Djordjic V., Do H.T., Dobson A.J., Donati M.B., Donfrancesco C., Donoso S.P., Doring A., Dorobantu M., Dorosty A.R., Doua K., Drygas W., Duan J.L., Duante C.A., Duboz P., Duda R.B., Duleva V., Dulskiene V., Dumith S.C., Dushpanova A., Dzerve V., Dziankowska-Zaborszczyk E., Eddie R., Eftekhar E., Egbagbe E.E., Eggertsen R., Eghtesad S., Eiben G., Ekelund U., El-Khateeb M., El Ati J., Eldemire-Shearer D., Eliasen M., Elliott P., Engle-Stone R., Enguerran M., Erasmus R.T., Erbel R., Erem C., Eriksen L., Eriksson J.G., Escobedo-de la Pena J., Eslami S., Esmaeili A., Evans A., Faeh D., Fakhretdinova A.A., Fall C.H., Faramarzi E., Farjam M., Farrugia Sant'Angelo V., Farzadfar F., Fattahi M.R., Fawwad A., Felix-Redondo F.J., Ferguson T.S., Fernandes R.A., Fernandez-Berges D., Ferrante D., Ferrao T., Ferrari M., Ferrario M.M., Ferreccio C., Ferrer E., Ferrieres J., Figueiro T.H., Fijalkowska A., Fink G., Fischer K., Foger B., Foo L.H., Forsner M., Fouad H.M., Francis D.K., Franco M.D.C., Franco O.H., Frikke-Schmidt R., Frontera G., Fuchs F.D., Fuchs S.C., Fujiati I.I., Fujita Y., Fumihiko M., Furusawa T., Gaciong Z., Gafencu M., Galbarczyk A., Galenkamp H., Galeone D., Galfo M., Galvano F., Gao J., Garcia-de-la-Hera M., Garcia-Solano M., Gareta D., Garnett S.P., Gaspoz J.-M., Gasull M., Gaya A.C.A., Gaya A.R., Gazzinelli A., Gehring U., Geiger H., Geleijnse J.M., Ghanbari A., Ghasemi E., Gheorghe-Fronea O.-F., Giampaoli S., Gianfagna F., Gill T.K., Giovannelli J., Gironella G., Giwercman A., Gkiouras K., Godos J., Gogen S., Goldsmith R.A., Goltzman D., Gomez S.F., Gomula A., Goncalves Cordeiro da Silva B., Goncalves H., Gonzalez-Chica D.A., Gonzalez-Gross M., Gonzalez-Leon M., Gonzalez-Rivas J.P., Gonzalez-Villalpando C., Gonzalez-Villalpando M.-E., Gonzalez A.R., Gottrand F., Graca A.P., Graff-Iversen S., Grafnetter D., Grajda A., Grammatikopoulou M.G., Gregor R.D., Grodzicki T., Groholt E.K., Grontved A., Grosso G., Gruden G., Gu D., Gualdi-Russo E., Guallar-Castillon P., Gualtieri A., Gudmundsson E.F., Gudnason V., Guerrero R., Guessous I., Guimaraes A.L., Gulliford M.C., Gunnlaugsdottir J., Gunter M.J., Guo X.-H., Guo Y., Gupta P.C., Gupta R., Gureje O., Gurzkowska B., Gutierrez-Gonzalez E., Gutierrez L., Gutzwiller F., Ha S., Hadaegh F., Hadjigeorgiou C.A., Haghshenas R., Hakimi H., Halkjaer J., Hambleton I.R., Hamzeh B., Hange D., Hanif A.A., Hantunen S., Hari Kumar R., Hashemi-Shahri S.M., Hassapidou M., Hata J., Haugsgjerd T., Hayes A.J., He J., He Y., Heidinger-Felso R., Heinen M., Hejgaard T., Hendriks M.E., Henrique R.D.S., Henriques A., Hernandez Cadena L., Herrala S., Herrera V.M., Herter-Aeberli I., Heshmat R., Hill A.G., Ho S.Y., Ho S.C., Hobbs M., Hofman A., Holden Bergh I., Holdsworth M., Homayounfar R., Homs C., Hopman W.M., Horimoto A.R., Hormiga C.M., Horta B.L., Houti L., Howitt C., Htay T.T., Htet A.S., Htike M.M.T., Hu Y., Huerta J.M., Huhtaniemi I.T., Huidumac Petrescu C., Husseini A., Huu C.N., Huybrechts I., Hwalla N., Hyska J., Iacoviello L., Ibarluzea J.M., Ibrahim M.M., Ibrahim Wong N., Ikeda N., Ikram M.A., Iotova V., Irazola V.E., Ishida T., Islam M., Islam S.M.S., Iwasaki M., Jackson R.T., Jacobs J.M., Jaddou H.Y., Jafar T., James K., Jamil K.M., Jamrozik K., Janszky I., Janus E., Jarani J., Jarvelin M.-R., Jasienska G., Jelakovic A., Jelakovic B., Jennings G., Jha A.K., Jiang C.Q., Jimenez R.O., Jockel K.-H., Joffres M., Johansson M., Jokelainen J.J., Jonas J.B., Jorgensen T., Joshi P., Joukar F., Jovic D.P., Jozwiak J.J., Juolevi A., Jurak G., Jurca Simina I., Juresa V., Kaaks R., Kaducu F.O., Kafatos A., Kajantie E.O., Kalmatayeva Z., Kalter-Leibovici O., Kameli Y., Kanala K.R., Kannan S., Kapantais E., Karki K.B., Katibeh M., Katz J., Katzmarzyk P.T., Kauhanen J., Kaur P., Kavousi M., Kazakbaeva G.M., Keil U., Keinan Boker L., Keinanen-Kiukaanniemi S., Kelishadi R., Kelleher C., Kemper H.C., Keramati M., Kerimkulova A., Kersting M., Key T., Khader Y.S., Khalili D., Khaw K.-T., Kheiri B., Kheradmand M., Khosravi A., Khouw I.M., Kiechl-Kohlendorfer U., Kiechl S., Killewo J., Kim D.W., Kim H.C., Kim J., Kindblom J.M., Klakk H., Klimek M., Klimont J., Klumbiene J., Knoflach M., Koirala B., Kolle E., Kolsteren P., Konig J., Korpelainen R., Korrovits P., Korzycka M., Kos J., Koskinen S., Kouda K., Kovacs V.A., Kowlessur S., Koziel S., Kratzer W., Kriemler S., Kristensen P.L., Krokstad S., Kromhout D., Krtalic B., Kruger H.S., Kubinova R., Kuciene R., Kujala U.M., Kujundzic E., Kulaga Z., Kumar R.K., Kunesova M., Kurjata P., Kusuma Y.S., Kuulasmaa K., Kyobutungi C., La Q.N., Laamiri F.Z., Laatikainen T., Lachat C., Laid Y., Lam T.H., Lambrinou C.-P., Landais E., Lanska V., Lappas G., Larijani B., Latt T.S., Lauria L., Lazo-Porras M., Le Nguyen Bao K., Le Port A., Le T.D., Lee J., Lee P.H., Lehmann N., Lehtimaki T., Lemogoum D., Levitt N.S., Li Y., Liivak M., Lilly C.L., Lim W.-Y., Lima-Costa M.F., Lin H.-H., Lin X., Lin Y.-T., Lind L., Linneberg A., Lissner L., Litwin M., Liu J., Liu L., Lo W.-C., Loit H.-M., Long K.Q., Lopes L., Lopes O., Lopez-Garcia E., Lopez T., Lotufo P.A., Lozano J.E., Lukrafka J.L., Luksiene D., Lundqvist A., Lundqvist R., Lunet N., Lunogelo C., Lustigova M., Luszczki E., Ma G., Ma J., Ma X., Machado-Coelho G.L., Machado-Rodrigues A.M., Machi S., Macieira L.M., Madar A.A., Maggi S., Magliano D.J., Magnacca S., Magriplis E., Mahasampath G., Maire B., Majer M., Makdisse M., Maki P., Malekzadeh F., Malhotra R., Mallikharjuna Rao K., Malyutina S.K., Maniego L.V., Manios Y., Mann J.I., Mansour-Ghanaei F., Manzato E., Margozzini P., Markaki A., Markey O., Markidou Ioannidou E., Marques-Vidal P., Marques L.P., Marrugat J., Martin-Prevel Y., Martin R., Martorell R., Martos E., Marventano S., Mascarenhas L.P., Masoodi S.R., Mathiesen E.B., Mathur P., Matijasevich A., Matsha T.E., Mavrogianni C., Mazur A., Mbanya J.C.N., McFarlane S.R., McGarvey S.T., McKee M., McLachlan S., McLean R.M., McLean S.B., McNulty B.A., Mediene-Benchekor S., Medzioniene J., Mehdipour P., Mehlig K., Mehrparvar A.H., Meirhaeghe A., Meisfjord J., Meisinger C., Menezes A.M.B., Menon G.R., Mensink G.B., Menzano M.T., Mereke A., Meshram I.I., Metspalu A., Mi J., Michaelsen K.F., Michels N., Mikkel K., Milkowska K., Miller J.C., Minderico C.S., Mini G.K., Miquel J.F., Mirjalili M.R., Mirkopoulou D., Mirrakhimov E., Misigoj-Durakovic M., Mistretta A., Mocanu V., Modesti P.A., Moghaddam S.S., Mohajer B., Mohamed M.K., Mohamed S.F., Mohammad K., Mohammadi Z., Mohammadifard N., Mohammadpourhodki R., Mohan V., Mohanna S., Mohd Yusoff M.F., Mohebbi I., Mohebi F., Moitry M., Molbo D., Mollehave L.T., Moller N.C., Molnar D., Momenan A., Mondo C.K., Monroy-Valle M., Monterrubio-Flores E., Monyeki K.D.K., Moosazadeh M., Moreira L.B., Morejon A., Moreno L.A., Morgan K., Morin S.N., Mortensen E.L., Moschonis G., Mossakowska M., Mostafa A., Mota-Pinto A., Mota J., Motlagh M.E., Motta J., Moura-dos-Santos M.A., Mridha M.K., Msyamboza K.P., Mu T.T., Muc M., Mugosa B., Muiesan M.L., Mukhtorova P., Muller-Nurasyid M., Murphy N., Mursu J., Murtagh E.M., Musa K.I., Music Milanovic S., Musil V., Mustafa N., Nabipour I., Naderimagham S., Nagel G., Naidu B.M., Najafi F., Nakamura H., Namesna J., Nang E.E.K., Nangia V.B., Nankap M., Narake S., Nardone P., Nauck M., Neal W.A., Nejatizadeh A., Nelis K., Nelis L., Nenko I., Neovius M., Nervi F., Nguyen C.T., Nguyen D., Nguyen Q.N., Nieto-Martinez R.E., Nikitin Y.P., Ning G., Ninomiya T., Nishtar S., Noale M., Noboa O.A., Nogueira H., Norat T., Nordendahl M., Nordestgaard B.G., Noto D., Nowak-Szczepanska N., Nsour M.A., Nuhoglu I., Nurk E., O'Neill T.W., O'Reilly D., Obreja G., Ochimana C., Ochoa-Aviles A.M., Oda E., Oh K., Ohara K., Ohlsson C., Ohtsuka R., Olafsson O., Olinto M.T.A., Oliveira I.O., Omar M.A., Onat A., Ong S.K., Ono L.M., Ordunez P., Ornelas R., Ortiz A.P., Ortiz P.J., Osler M., Osmond C., Ostojic S.M., Ostovar A., Otero J.A., Overvad K., Owusu-Dabo E., Paccaud F.M., Padez C., Pagkalos I., Pahomova E., Paiva K.M.D., Pajak A., Palli D., Palloni A., Palmieri L., Pan W.-H., Panda-Jonas S., Pandey A., Panza F., Papandreou D., Park S.-W., Park S., Parnell W.R., Parsaeian M., Pascanu I.M., Pasquet P., Patel N.D., Pednekar M.S., Peer N., Peixoto S.V., Peltonen M., Pereira A.C., Peres M.A., Perez-Farinos N., Perez C.M., Peterkova V., Peters A., Petersmann A., Petkeviciene J., Petrauskiene A., Pettenuzzo E., Peykari N., Pham S.T., Pichardo R.N., Pierannunzio D., Pigeot I., Pikhart H., Pilav A., Pilotto L., Pistelli F., Pitakaka F., Piwonska A., Pizarro A.N., Plans-Rubio P., Poh B.K., Pohlabeln H., Pop R.M., Porta M., Posch G., Poudyal A., Poulimeneas D., Pouraram H., Pourfarzi F., Pourshams A., Poustchi H., Pradeepa R., Price A.J., Price J.F., Providencia R., Puder J.J., Pudule I., Puhakka S.E., Puiu M., Punab M., Qasrawi R.F., Qorbani M., Quoc Bao T., Radic I., Radisauskas R., Rahimikazerooni S., Rahman M., Raitakari O., Raj M., Rakhimova E., Rakhmatulloev S., Rakovac I., Ramachandra Rao S., Ramachandran A., Ramke J., Ramos E., Ramos R., Rampal L., Rampal S., Rarra V., Rascon-Pacheco R.A., Rasmussen M., Rech C.R., Redon J., Reganit P.F.M., Regecova V., Revilla L., Rezaianzadeh A., Ribas-Barba L., Ribeiro R., Riboli E., Richter A., Rigo F., Rinaldo N., Rinke de Wit T.F., Rito A., Ritti-Dias R.M., Rivera J.A., Robitaille C., Roccaldo R., Rodrigues D., Rodriguez-Artalejo F., Rodriguez-Perez M.D.C., Rodriguez-Villamizar L.A., Roggenbuck U., Rojas-Martinez R., Rojroongwasinkul N., Romaguera D., Romeo E.L., Rosario R.V., Rosengren A., Rouse I., Roy J.G., Rubinstein A., Ruhli F.J., Ruidavets J.-B., Ruiz-Betancourt B.S., Ruiz Moreno E., Rusakova I.A., Russell Jonsson K., Russo P., Rust P., Rutkowski M., Sabanayagam C., Sacchini E., Sachdev H.S., Sadjadi A., Safarpour A.R., Safi S., Safiri S., Saidi O., Saki N., Salanave B., Salazar Martinez E., Salmeron D., Salomaa V., Salonen J.T., Salvetti M., Samoutian M., Sanchez-Abanto J., Sandjaja, Sans S., Santa Marina L., Santos D.A., Santos I.S., Santos L.C., Santos M.P., Santos O., Santos R., Santos Sanz S., Saramies J.L., Sardinha L.B., Sarrafzadegan N., Sathish T., Saum K.-U., Savva S., Savy M., Sawada N., Sbaraini M., Scazufca M., Schaan B.D., Schaffrath Rosario A., Schargrodsky H., Schienkiewitz A., Schindler K., Schipf S., Schmidt C.O., Schmidt I.M., Schnohr P., Schottker B., Schramm S., Schroder H., Schultsz C., Schutte A.E., Sebert S., Sein A.A., Selamat R., Sember V., Sen A., Senbanjo I.O., Sepanlou S.G., Sequera V., Serra-Majem L., Servais J., Sevcikova L., Shalnova S.A., Shamah-Levy T., Shamshirgaran M., Shanthirani C.S., Sharafkhah M., Sharma S.K., Shaw J.E., Shayanrad A., Shayesteh A.A., Shengelia L., Shi Z., Shibuya K., Shimizu-Furusawa H., Shin D.W., Shin Y., Shirani M., Shiri R., Shrestha N., Si-Ramlee K., Siani A., Siantar R., Sibai A.M., Silva A.M., Silva D.A.S., Simon M., Simons J., Simons L.A., Sjoberg A., Sjostrom M., Skodje G., Slowikowska-Hilczer J., Slusarczyk P., Smeeth L., So H.-K., Soares F.C., Sobek G., Sobngwi E., Sodemann M., Soderberg S., Soekatri M.Y., Soemantri A., Sofat R., Solfrizzi V., Somi M.H., Sonestedt E., Song Y., Sorgjerd E.P., Sossa Jerome C., Soto-Rojas V.E., Soumare A., Sovic S., Sparboe-Nilsen B., Sparrenberger K., Spinelli A., Spiroski I., Staessen J.A., Stamm H., Stathopoulou M.G., Staub K., Stavreski B., Steene-Johannessen J., Stehle P., Stein A.D., Stergiou G.S., Stessman J., Stevanovic R., Stieber J., Stockl D., Stocks T., Stokwiszewski J., Stoyanova E., Stratton G., Stronks K., Strufaldi M.W., Sturua L., Suarez-Medina R., Suka M., Sun C.-A., Sundstrom J., Sung Y.-T., Sunyer J., Suriyawongpaisal P., Swinburn B.A., Sy R.G., Syddall H.E., Sylva R.C., Szklo M., Szponar L., Tai E.S., Tammesoo M.-L., Tamosiunas A., Tan E.J., Tang X., Tanser F., Tao Y., Tarawneh M.R., Tarp J., Tarqui-Mamani C.B., Taxova Braunerova R., Taylor A., Taylor J., Tchibindat F., Tebar W.R., Tell G.S., Tello T., Thankappan K.R., Theobald H., Theodoridis X., Thijs L., Thomas N., Thuesen B.H., Ticha L., Timmermans E.J., Tjonneland A., Tolonen H.K., Tolstrup J.S., Topbas M., Topor-Madry R., Torheim L.E., Tormo M.J., Tornaritis M.J., Torrent M., Torres-Collado L., Toselli S., Traissac P., Tran T.T.-H., Trichopoulos D., Trichopoulou A., Trinh O.T., Trivedi A., Tshepo L., Tsigga M., Tsugane S., Tuliakova A.M., Tulloch-Reid M.K., Tullu F., Tuomainen T.-P., Tuomilehto J., Turley M.L., Tynelius P., Tzotzas T., Tzourio C., Ueda P., Ugel E., Ukoli F.A., Ulmer H., Unal B., Usupova Z., Uusitalo H.M., Uysal N., Vaitkeviciute J., Valdivia G., Vale S., Valvi D., van Dam R.M., Van der Heyden J., van der Schouw Y.T., Van Herck K., Van Minh H., van Valkengoed I.G., Vanderschueren D., Vanuzzo D., Varbo A., Varela-Moreiras G., Varona-Perez P., Vasan S.K., Vega T., Veidebaum T., Velasquez-Melendez G., Velika B., Veronesi G., Verschuren W.M., Victora C.G., Viegi G., Viet L., Villalpando S., Vineis P., Vioque J., Virtanen J.K., Visser M., Visvikis-Siest S., Viswanathan B., Vladulescu M., Vlasoff T., Vocanec D., Volzke H., Voutilainen A., Voutilainen S., Vrijheid M., Vrijkotte T.G., Wade A.N., Wagner A., Waldhor T., Walton J., Wambiya E.O., Wan Bebakar W.M., Wan Mohamud W.N., Wanderley Junior R.D.S., Wang M.-D., Wang N., Wang Q., Wang X., Wang Y.X., Wang Y.-W., Wannamethee S.G., Wareham N., Weber A., Wedderkopp N., Weerasekera D., Weghuber D., Wei W., Weres A., Werner B., Whincup P.H., Widhalm K., Widyahening I.S., Wiecek A., Wilks R.J., Willeit J., Willeit P., Williams J., Wilsgaard T., Wojtyniak B., Wong-McClure R.A., Wong A., Wong J.E., Wong T.Y., Woo J., Woodward M., Wu F.C., Wu J., Wu L.J., Wu S., Xu H., Xu L., Yaacob N.A., Yamborisut U., Yan W., Yang L., Yang X., Yang Y., Yardim N., Yaseri M., Yasuharu T., Ye X., Yiallouros P.K., Yoosefi M., Yoshihara A., You Q.S., You S.-L., Younger-Coleman N.O., Yusof S.M., Yusoff A.F., Zaccagni L., Zafiropulos V., Zakavi S.R., Zamani F., Zambon S., Zampelas A., Zamrazilova H., Zapata M.E., Zargar A.H., Zaw K.K., Zdrojewski T., Zeljkovic Vrkic T., Zeng Y., Zhang L., Zhang Z.-Y., Zhao D., Zhao M.-H., Zhao W., Zhen S., Zheng W., Zheng Y., Zholdin B., Zhou M., Zhu D., Zocalo Y., Zuniga Cisneros J., Zuziak M., and Ezzati M.

Subjects
Male, body-mass index, ADULTHOOD, Adolescents, pituuskasvu, Pediatrics, Body Mass Index, 0302 clinical medicine, Child Development, nuoret, Public health surveillance, Medicine, Health Status Indicators, 10. No inequality, Child, 11 Medical and Health Sciences, Body mass index, ComputingMilieux_MISCELLANEOUS, education.field_of_study, VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801, General Medicine, Body mass indexes, kansainvälinen vertailu, 3. Good health, Geography, Health, 030220 oncology & carcinogenesis, Child, Preschool, Medical and Health sciences, purl.org/becyt/ford/3 [https], medicine.medical_specialty, School-aged adolescents, Socio-culturale, lapset (ikäryhmät), Nursing, territories, ravinto, purl.org/becyt/ford/3.3 [https], 03 medical and health sciences, School Children, SDG 3 - Good Health and Well-being, SYSTEMATIC ANALYSIS, Humans, school-aged children and adolescents, Montenegro, education, Science & Technology, Omvårdnad, Health sciences, Medical and Health sciences, Ciências médicas e da saúde, Bayes Theorem, Anthropometry, Adolescent Development, medicine.disease, TRENDS, Height and Body-mass Index, Faculdade de Ciências Sociais, UNDERNUTRITION, Height index trajectories, Height, body mass index, children , epidemiology, risk factors, growth, Stature, Demography, Settore MED/09 - Medicina Interna, Internationality, [SDV]Life Sciences [q-bio], 030204 cardiovascular system & hematology, Body-mass index trajectories, Epidemiology, Medicine and Health Sciences, risk factors, countries, EPIDEMIOLOGY, height, children, adolescents, BMI, 030212 general & internal medicine, painoindeksi, Child development, 2. Zero hunger, Medicine(all), School age child, obestity children cardiovascular, Population Health, 1. No poverty, Pediatrik, Public Health, Global Health, Social Medicine and Epidemiology, 3142 Public health care science, environmental and occupational health, Pooled analysis, NUTRITION, Female, medicine.symptom, pooled analysis, Life Sciences & Biomedicine, terveys, height, BMI, nutrition, health, children, adolescents, Adolescent, growth, Population, body-mass, Population based, Body-mass index, Young Adult, Medicine, General & Internal, Meta-Analysis as Topic, General & Internal Medicine, parasitic diseases, Weight gain, School-aged childrens, Age trajectories, business.industry, Height, Weight, Body Height, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Malnutrition, ONSET, Ciências da Saúde, Ciências médicas e da saúde, School-aged children, VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801, business, terveysriskit, Estilos de Vida e Impacto na Saúde
Abstract

BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents., METHODS: For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence., FINDINGS: We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls., INTERPRETATION: The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks., Wellcome Trust, AstraZeneca Young Health Programme, EU., peer-reviewed

Published
2020

21. Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Author

Bixby, Honor, Bentham, James, Zhou, Bin, Di Cesare, Mariachiara, Paciorek, Christopher J., Bennett, James E., Taddei, Cristina, Stevens, Gretchen A., Rodriguez-Martinez, Andrea, Carrillo-Larco, Rodrigo M., Khang, Young-Ho, Soric, Maroje, Gregg, Edward W., Miranda, J. Jaime, Bhutta, Zulfiqar A., Savin, Stefan, Sophiea, Marisa K., Iurilli, Maria L. C., Solomon, Bethlehem D., Cowan, Melanie J., Riley, Leanne M., Danaei, Goodarz, Bovet, Pascal, Chirita-Emandi, Adela, Hambleton, Ian R., Hayes, Alison J., Ikeda, Nayu, Kengne, Andre P., Laxmaiah, Avula, Li, Yanping, McGarvey, Stephen T., Mostafa, Aya, Neovius, Martin, Starc, Gregor, Zainuddin, Ahmad A., Abarca-Gomez, Leandra, Abdeen, Ziad A., Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Hamid, Zargar Abdul, Garba, Jamila Abubakar, Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert J., Aekplakorn, Wichai, Afsana, Kaosar, Agdeppa, Imelda A., Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Naser, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, AlBuhairan, Fadia, AlDhukair, Shahla, Al-Hazzaa, Hazzaa M., Ali, Mohamed M., Ali, Osman, Alkerwi, Ala'a, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N., Amouyel, Philippe, Amuzu, Antoinette, Bo, Lars, Anderssen, Sigmund A., Angquist, Lars H., Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araujo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E., Arlappa, Nimmathota, Aryal, Krishna K., Aspelund, Thor, Assah, Felix K., Assuncao, Maria Cecilia F., Aung, May Soe, Auvinen, Juha, Avdicova, Maria, Azevedo, Ana, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V., Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L., Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R., Barbagallo, Carlo M., Barcelo, Alberto, Barkat, Amina, Barros, Aluisio J. D., Barros, Mauro V. G., Bata, Iqbal, Batieha, Anwar M., Batista, Rosangela L., Battakova, Zhamilya, Batyrbek, Assembekov, Baur, Louise A., Beaglehole, Robert, Bel-Serrat, Silvia, Ben Romdhane, Habiba, Benedics, Judith, Benet, Mikhail, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K., Bi, Hongsheng, Bi, Yufang, Biehl, Anna, Lele, Elysee Claude Bika, Bikbov, Mukharram, Bista, Bihungum, Bjelica, Dusko J., Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B., Bjorkelund, Cecilia, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M., Boehm, Bernhard O., Boeing, Heiner, Boggia, Jose G., Boissonnet, Carlos P., Bonaccio, Marialaura, Bongard, Vanina, Bopp, Matthias, Borchini, Rossana, Borghs, Herman, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn C. E., Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, Joao, Brenner, Hermann, Brewster, Lizzy M., Brian, Garry R., Brinduse, Lacramioara, Bruno, Graziella, Bueno-de-Mesquita, H. Bas, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, Cabrera de Leon, Antonio, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, Jose, Can, Gamze, Can, Gunay, Candido, Ana Paula C., Canete, Felicia, Capanzana, Mario V., Capuano, Eduardo, Capuano, Vincenzo, Cardoso, Viviane C., Carlsson, Axel C., Carmuega, Esteban, Carvalho, Maria J., Casanueva, Felipe F., Casas, Juan-Pablo, Caserta, Carmelo A., Celikcan, Ertugrul, Censi, Laura, Cesar, Juraci A., Chamukuttan, Snehalatha, Chan, Angelique W., Chan, Queenie, Chaturvedi, Himanshu K., Chaturvedi, Nishi, Rahim, Norsyamlina Che Abdul, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheng, Yiling J., Chetrit, Angela, Chikova-Iscener, Ekaterina, Chiolero, Arnaud, Chiou, Shu-Ti, Chirlaque, Maria-Dolores, Cho, Belong, Cho, Yumi, Christensen, Kaare, Christofaro, Diego G., Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Claessens, Frank, Clarke, Janine, Clays, Els, Concin, Hans, Confortin, Susana C., Cooper, Cyrus, Coppinger, Tara C., Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L., Crampin, Amelia C., Crujeiras, Ana B., Cruz, Juan J., Cucu, Alexandra, Cui, Liufu, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T., Dankner, Rachel, Dantoft, Thomas M., D'Arrigo, Graziella, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, De Backer, Guy, De Bacquer, Dirk, De Curtis, Amalia, de Gaetano, Giovanni, De Henauw, Stefaan, de Oliveira, Paula Duarte, De Ridder, Karin, de Rooij, Susanne R., De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D., Dehghan, Abbas, Delisle, Helene, Delpeuch, Francis, Dennison, Elaine, Deschamps, Valerie, Dhana, Klodian, Dhimal, Meghnath, Di Castelnuovo, Augusto F., Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Dika, Zivka, Djalalinia, Shirin, Do, Ha T. P., Dobson, Annette J., Donati, Maria Benedetta, Donfrancesco, Chiara, Donoso, Silvana P., Doering, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, d'Orsi, Eleonora, Doua, Kouamelan, Drygas, Wojciech, Duan, Jia Li, Duante, Charmaine A., Duda, Rosemary B., Duleva, Vesselka, Dulskiene, Virginija, Dumith, Samuel C., Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Eddie, Ricky, Egbagbe, Eruke E., Eggertsen, Robert, Eiben, Gabriele, Ekelund, Ulf, El Ati, Jalila, Eldemire-Shearer, Denise, Eliasen, Marie, Elliott, Paul, Engle-Stone, Reina, Erasmus, Rajiv T., Erem, Cihangir, Eriksen, Louise, Eriksson, Johan G., Escobedo-de la Pena, Jorge, Evans, Alun, Faeh, David, Fall, Caroline H., Sant'Angelo, Victoria Farrugia, Farzadfar, Farshad, Fattahi, Mohammad R., Felix-Redondo, Francisco J., Ferguson, Trevor S., Fernandes, Romulo A., Fernandez-Berges, Daniel, Ferrante, Daniel, Ferrari, Marika, Ferreccio, Catterina, Ferrer, Eldridge, Ferrieres, Jean, Fijalkowska, Anna, Fink, Gunther, Fischer, Krista, Flores, Eric Monterubio, Foeger, Bernhard, Foo, Leng Huat, Forslund, Ann-Sofie, Forsner, Maria, Fouad, Heba M., Francis, Damian K., Franco, Maria do Carmo, Franco, Oscar H., Frontera-Juan, Guillem, Fuchs, Flavio D., Fuchs, Sandra C., Fujita, Yuki, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Galeone, Daniela, Galvano, Fabio, Gao, Jingli, Garcia-de-la-Hera, Manoli, Gareta, Dickman, Garnett, Sarah P., Gaspoz, Jean-Michel, Gasull, Magda, Gates, Louise, Gazzinelli, Andrea, Geiger, Harald, Geleijnse, Johanna M., Ghanbari, Ali, Ghasemi, Erfan, Ghasemian, Anoosheh, Gheorghe-Fronea, Oana-Florentina, Giampaoli, Simona, Gianfagna, Francesco, Gill, Tiffany K., Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Godos, Justyna, Gogen, Sibel, Goldsmith, Rebecca A., Goltzman, David, Goncalves, Helen, Gonzalez, Angel R., Gonzalez-Chica, David A., Gonzalez-Gross, Marcela, Gonzalez-Leon, Margot, Gonzalez-Rivas, Juan P., Gonzalez-Villalpando, Maria-Elena, Gottrand, Frederic, Graca, Antonio Pedro, Graff-Iversen, Sidsel, Grafnetter, Dusan, Grajda, Aneta, Grammatikopoulou, Maria G., Gregor, Ronald D., Grodzicki, Tomasz, Grontved, Anders, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Gualdi-Russo, Emanuela, Gudmundsson, Elias F., Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L., Gulliford, Martin C., Gunnlaugsdottir, Johanna, Gunter, Marc, Guo, Xiuhua, Guo, Yin, Gupta, Prakash C., Gupta, Rajeev, Gureje, Oye, Gurzkowska, Beata, Gutierrez, Laura, Gutzwiller, Felix, Hadaegh, Farzad, Hadjigeorgiou, Charalambos A., Haghshenas, Rosa, Halkjaer, Jytte, Hardy, Rebecca, Kumar, Rachakulla Hari, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, He, Jiang, He, Yuna, Heidinger-Felso, Regina, Heinen, Mirjam, Hejgaard, Tatjana, Hendriks, Marleen Elisabeth, Henriques, Ana, Hernandez Cadena, Leticia, Herrala, Sauli, Herrera, Victor M., Herter-Aeberli, Isabelle, Heshmat, Ramin, Hill, Allan G., Ho, Sai Yin, Ho, Suzanne C., Hobbs, Michael, Hofman, Albert, Hopman, Wilma M., Horimoto, Andrea R. V. R., Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, Jose Maria, Huhtaniemi, Ilpo Tapani, Petrescu, Constanta Huidumac, Huisman, Martijn, Husseini, Abdullatif, Chinh Nguyen Huu, Huybrechts, Inge, Hwalla, Nahla, Hyska, Jolanda, Iacoviello, Licia, Ibarluzea, Jesus M., Ibrahim, Mohsen M., Wong, Norazizah Ibrahim, Ikram, M. Arfan, Irazola, Vilma E., Ishida, Takafumi, Islam, Muhammad, Ismail, Aziz al-Safi, Ivkovic, Vanja, Iwasaki, Masanori, Jaaskelainen, Tuija, Jackson, Rod T., Jacobs, Jeremy M., Jaddou, Hashem, Jafar, Tazeen, James, Kenneth, Jamil, Kazi M., Jamrozik, Konrad, Janszky, Imre, Janus, Edward, Jarani, Juel, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelakovic, Ana, Jelakovic, Bojan, Jennings, Garry, Jeong, Seung-Lyeal, Jiang, Chao Qiang, Jimenez, Ramon O., Joffres, Michel, Johansson, Mattias, Jokelainen, Jari J., Jonas, Jost B., Jorgensen, Torben, Joshi, Pradeep, Jovic, Dragana P., Jozwiak, Jacek, Juolevi, Anne, Jurak, Gregor, Juresa, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kajantie, Eero O., Kalter-Leibovici, Ofra, Kamaruddin, Nor Azmi, Kameli, Yves, Kapantais, Efthymios, Karki, Khem B., Kasaeian, Amir, Katibeh, Marzieh, Katz, Joanne, Katzmarzyk, Peter T., Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli, Keil, Ulrich, Keinan-Boker, Lital, Keinanen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han C. G., Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khateeb, Mohammad, Khaw, Kay-Tee, Kheiri, Bahareh, Khosravi, Alireza, Khouw, Ilse M. S. L., Kiechl, Stefan, Kiechl-Kohlendorfer, Ursula, Killewo, Japhet, Kim, Jeongseon, Kim, Yeon-Yong, Klimont, Jeannette, Klumbiene, Jurate, Knoflach, Michael, Koirala, Bhawesh, Kolle, Elin, Kolsteren, Patrick, Koenig, Jurgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Koskinen, Seppo, Kouda, Katsuyasu, Kovacs, Viktoria A., Kowlessur, Sudhir, Koziel, Slawomir, Kratzer, Wolfgang, Kriemler, Susi, Kristensen, Peter Lund, Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S., Kubinova, Ruzena, Kuciene, Renata, Kuh, Diana, Kujala, Urho M., Kujundzic, Enisa, Kulaga, Zbigniew, Kumar, R. Krishna, Kunesova, Marie, Kurjata, Pawel, Kusuma, Yadlapalli S., Kuulasmaa, Kari, Kyobutungi, Catherine, Quang Ngoc La, Laamiri, Fatima Zahra, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Tai Hing Lam, Morovic, Maja Lang, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Laugsand, Lars E., Lauria, Laura, Lazo-Porras, Maria, Khanh Le Nguyen Bao, Le Port, Agnes, Le, Tuyen D., Lee, Jeannette, Lee, Jeonghee, Lee, Paul H., Lehtimaki, Terho, Lemogoum, Daniel, Levitt, Naomi S., Lilly, Christa L., Lim, Wei-Yen, Lima-Costa, M. Fernanda, Lin, Hsien-Ho, Lin, Xu, Lind, Lars, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Jing, Loit, Helle-Mai, Lopes, Luis, Lopez, Tania, Lopez-Garcia, Esther, Lorbeer, Roberto, Lotufo, Paulo A., Lozano, Jose Eugenio, Luksiene, Dalia, Lundqvist, Annamari, Lundqvist, Robert, Lunet, Nuno, Lytsy, Per, Ma, Guansheng, Ma, Jun, Machado-Coelho, George L. L., Machado-Rodrigues, Aristides M., Machi, Suka, Maggi, Stefania, Magliano, Dianna J., Magriplis, Emmanuella, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Malyutina, Sofia, Maniego, Lynell V., Manios, Yannis, Mann, Jim I., Manzato, Enzo, Margozzini, Paula, Markaki, Anastasia, Markey, Oonagh, Ioannidou, Eliza Markidou, Marques, Larissa Pruner, Marques-Vidal, Pedro, Marrugat, Jaume, Martin, Rosemarie, Martin-Prevel, Yves, Martorell, Reynaldo, Martos, Eva, Marventano, Stefano, Masoodi, Shariq R., Mathiesen, Ellisiv B., Mathur, Prashant, Matijasevich, Alicia, Matsha, Tandi E., Mazur, Artur, Mbanya, Jean Claude N., McFarlane, Shelly R., Mckee, Martin, McLachlan, Stela, McLean, Rachael M., McLean, Scott B., McNulty, Breige A., Yusof, Safiah Md, Mediene-Benchekor, Sounnia, Medzioniene, Jurate, Mehdipour, Parinaz, Meirhaeghe, Aline, Meisfjord, Jorgen, Meisinger, Christa, Menezes, Ana Maria B., Menon, Geetha R., Mensink, Gert B. M., Mereke, Alibek, Meshram, Indrapal I., Metspalu, Andres, Meyer, Haakon E., Mi, Jie, Michaelsen, Kim F., Michels, Nathalie, Mikkel, Kairit, Miller, Jody C., Minderico, Claudia S., Francisco Miquel, Juan, Mirkopoulou, Daphne, Mirrakhimov, Erkin, Misigoj-Durakovic, Marjeta, Mistretta, Antonio, Mocanu, Veronica, Modesti, Pietro A., Moghaddam, Sahar Saeeidi, Mohajer, Bahram, Mohamed, Mostafa K., Mohammad, Kazem, Mohammadifard, Noushin, Mohan, Viswanathan, Mohanna, Salim, Yusoff, Muhammad Fadhli Mohd, Mohebi, Farnam, Moitry, Marie, Molbo, Drude, Mollehave, Line T., Moller, Niels C., Molnar, Denes, Momenan, Amirabbas, Mondo, Charles K., Monterrubio, Eric A., Monyeki, Kotsedi Daniel K., Moon, Jin Soo, Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morgan, Karen, Morin, Suzanne, Mortensen, Erik Lykke, Moschonis, George, Mossakowska, Malgorzata, Mota, Jorge, Mota-Pinto, Anabela, Motlagh, Mohammad Esmaeel, Motta, Jorge, Msyamboza, Kelias P., Mu, Thet Thet, Muc, Magdalena, Mugosa, Boban, Muiesan, Maria Lorenza, Mukhtorova, Parvina, Mueller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Murtagh, Elaine M., Milanovic, Sanja Music, Musil, Vera, Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Naidu, Balkish M., Nakamura, Harunobu, Namesna, Jana, Nang, Ei Ei K., Nangia, Vinay B., Nankap, Martin, Narake, Sameer, Nardone, Paola, Nauck, Matthias, Navarrete-Munoz, Eva Maria, Neal, William A., Nelis, Keiu, Nelis, Liis, Nenko, Ilona, Nervi, Flavio, Nguyen, Chung T., Nguyen, Nguyen D., Quang Ngoc Nguyen, Nieto-Martinez, Ramfis E., Ning, Guang, Ninomiya, Toshiharu, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A., Norat, Teresa, Norie, Sawada, Noto, Davide, Al Nsour, Mohannad, Nurk, Eha, Nyirenda, Moffat, Obreja, Galina, Ochoa-Aviles, Angelica M., Oda, Eiji, Oh, Kyungwon, Ohara, Kumiko, Ohtsuka, Ryutaro, Olafsson, Orn, Anselmo Olinto, Maria Teresa, Oliveira, Isabel O., Oltarzewski, Maciej, Omar, Mohd Azahadi, Onat, Altan, O'Neill, Terence W., Ong, Sok King, Ono, Lariane M., Ordunez, Pedro, O'Reilly, Dermot, Ornelas, Rui, Ortiz, Ana P., Ortiz, Pedro J., Osler, Merete, Osmond, Clive, Ostojic, Sergej M., Ostovar, Afshin, Otero, Johanna A., Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pagkalos, Ioannis, Pahomova, Elena, Pajak, Andrzej, Palli, Domenico, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Pandey, Arvind, Panza, Francesco, Papandreou, Dimitrios, Park, Soon-Woo, Parnell, Winsome R., Parsaeian, Mahboubeh, Pascanu, Ionela M., Patel, Nikhil D., Pecin, Ivan, Pednekar, Mangesh S., Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C., Perez, Cynthia M., Perez-Farinos, Napoleon, Peters, Annette, Petersmann, Astrid, Petkeviciene, Janina, Petrauskiene, Ausra, Peykari, Niloofar, Son Thai Pham, Pierannunzio, Daniela, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Plans-Rubio, Pedro, Poh, Bee Koon, Pohlabeln, Hermann, Pop, Raluca M., Popovic, Stevo R., Porta, Miquel, Portegies, Marileen L. 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H., Stathopoulou M.G., Staub K., Stavreski B., Steene-Johannessen J., Stehle P., Stein A.D., Stergiou G.S., Stessman J., Stockl D., Stocks T., Stokwiszewski J., Stratton G., Stronks K., Strufaldi M.W., Sturua L., Suarez-Medina R., Sun C.-A., Sundstrom J., Sung Y.-T., Sunyer J., Suriyawongpaisal P., Swinburn B.A., Sy R.G., Sylva R.C., Szponar L., Tai E.S., Tammesoo M.-L., Tamosiunas A., Tan E.J., Tang X., Tanser F., Tao Y., Tarawneh M.R., Tarp J., Tarqui-Mamani C.B., TaxovaBraunerova R., Taylor A., Tchibindat F., Tebar W.R., Tell G., Tello T., Theobald H., Theodoridis X., Thijs L., Thuesen B.H., Ticha L., Timmermans E.J., Tjonneland A., Tolonen H.K., Tolstrup J.S., Topbas M., Topor-Madry R., Tormo M.J., Tornaritis M.J., Torrent M., Toselli S., Traissac P., Trichopoulos D., Trichopoulou A., Trinh O.T.H., Trivedi A., Tsao Y.-H., Tshepo L., Tsigga M., Tsugane S., Tulloch-Reid M.K., Tullu F., Tuomainen T.-P., Tuomilehto J., Turley M.L., Tynelius P., Tzotzas T., Tzourio C., Ueda P., Ugel E.E., Ukoli F.A.M., Ulmer H., Unal B., Uusitalo H.M.T., Vaitkeviciute J., Valdivia G., Vale S., Valvi D., van der Schouw Y.T., Van Herck K., Van Minh H., van Rossem L., Van Schoor N.M., van Valkengoed I.G.M., Vanderschueren D., Vanuzzo D., Varela-Moreiras G., Varona-Perez P., Vatten L., Vega T., Veidebaum T., Velasquez-Melendez G., Velika B., Veronesi G., Verschuren W.M.M., Victora C.G., Viegi G., Viet L., Vineis P., Vioque J., Virtanen J.K., Visser M., Visvikis-Siest S., Viswanathan B., Vlasoff T., Vollenweider P., Volzke H., Voutilainen A., Voutilainen S., Vrijheid M., Vrijkotte T.G.M., Wade A.N., Wagner A., Waldhor T., Walton J., WanBebakar W.M., WanMohamud W.N., Wanderley R.S., Wang M.-D., Wang Q., Wang X., Wang Y.X., Wang Y.-W., Wannamethee S.G., Wareham N., Weber A., Weerasekera D., Weghuber D., Wei W., Whincup P.H., Widhalm K., Widyahening I.S., Wiecek A., Wijga A.H., Wilks R.J., Willeit J., Willeit P., Wilsgaard T., Wojtyniak B., Wong J.E., Wong T.Y., Wong-McClure R.A., Woo J., Woodward M., Wu F.C., Wu J., Wu S., Xu H., Xu L., Yamborisut U., Yan W., Yang L., Yang X., Yang Y., Yardim N., Yaseri M., Ye X., Yiallouros P.K., Yngve A., Yoosefi M., Yoshihara A., You Q.S., You S.-L., Younger-Coleman N.O., Yusoff A.F., Zaccagni L., Zafiropulos V., Zamani F., Zambon S., Zampelas A., Zamrazilova H., Zapata M.E., Zaw K.K., Zdrojewski T., ZeljkovicVrkic T., Zeng Y., Zhao D., Zhao W., Zheng W., Zheng Y., Zholdin B., Zhou M., Zhu D., Zhussupov B., Zimmermann E., ZunigaCisneros J., Ezzati M., Bixby H, Bentham J, Zhou B, Di Cesare M, Paciorek CJ, Bennett JE, Taddei C, Stevens GA, Rodriguez-Martinez A, Carrillo-Larco RM, Khang Y-H, Sorić M, Gregg EW, Miranda JJ, Bhutta ZA, Savin S, Sophiea MK, Iurilli MLC, Solomon BD, Cowan MJ, Riley LM, Danaei G, Bovet P, Chirita-Emandi A, Hambleton IR, Hayes AJ, Ikeda N, Kengne AP, Laxmaiah A, Li Y, McGarvey ST, Mostafa A, Neovius M, Starc G, Zainuddin AA, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Abdul Ghaffar S, Abdul Hamid Z, Abubakar Garba J, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Agdeppa IA, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmad NA, Ahmadi N, Ahmadvand A, Ahrens W, Ajlouni K, AlBuhairan F, AlDhukair S, Al-Hazzaa HM, Ali MM, Ali O, Alkerwi A, Al-Othman AR, Al-Raddadi R, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amouyel P, Amuzu A, Andersen LB, Anderssen SA, Ängquist LH, Anjana RM, Ansari-Moghaddam A, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Aung MS, Auvinen J, Avdicová M, Azevedo A, Azizi F, Azmin M, Babu BV, Baharudin A, Bahijri S, Baker JL, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MVG, Bata I, Batieha AM, Batista RL, Battakova Z, Batyrbek A, Baur LA, Beaglehole R, Bel-Serrat S, Ben Romdhane H, Benedics J, Benet M, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bi H, Bi Y, Biehl A, Bika Lele EC, Bikbov M, Bista B, Bjelica DJ, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boeing H, Boggia JG, Boissonnet CP, Bonaccio M, Bongard V, Bopp M, Borchini R, Borghs H, Braeckevelt L, Braeckman L, Bragt MCE, Brajkovich I, Branca F, Breckenkamp J, Breda J, Brenner H, Brewster LM, Brian GR, Brinduse L, Bruno G, Bueno-de-Mesquita HB, Bugge A, Buoncristiano M, Burazeri G, Burns C, Cabrera de León A, Cacciottolo J, Cai H, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Cañete F, Capanzana MV, Capuano E, Capuano V, Cardoso VC, Carlsson AC, Carmuega E, Carvalho MJ, Casanueva FF, Casas J-P, Caserta CA, Celikcan E, Censi L, Cesar JA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Che Abdul Rahim N, Chen C-J, Chen F, Chen H, Chen S, Chen Z, Cheng C-Y, Cheng YJ, Chetrit A, Chikova-Iscener E, Chiolero A, Chiou S-T, Chirlaque M-D, Cho B, Cho Y, Christensen K, Christofaro DG, Chudek J, Cifkova R, Cilia M, Cinteza E, Claessens F, Clarke J, Clays E, Concin H, Confortin SC, Cooper C, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Cruz JJ, Cucu A, Cui L, Dallongeville J, Damasceno A, Damsgaard CT, Dankner R, Dantoft TM, D’Arrigo G, Dasgupta P, Dastgiri S, Dauchet L, Davletov K, De Backer G, De Bacquer D, De Curtis A, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder K, de Rooij SR, De Smedt D, Deepa M, Deev AD, Dehghan A, Delisle H, Delpeuch F, Dennison E, Deschamps V, Dhana K, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dika Z, Djalalinia S, Do HTP, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, d’Orsi E, Doua K, Drygas W, Duan JL, Duante CA, Duda RB, Duleva V, Dulskiene V, Dumith SC, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Egbagbe EE, Eggertsen R, Eiben G, Ekelund U, El Ati J, Eldemire-Shearer D, Eliasen M, Elliott P, Engle-Stone R, Erasmus RT, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Evans A, Faeh D, Fall CH, Farrugia Sant’Angelo V, Farzadfar F, Fattahi MR, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrer E, Ferrieres J, Fijalkowska A, Fink G, Fischer K, Flores EM, Föger B, Foo LH, Forslund A-S, Forsner M, Fouad HM, Francis DK, Franco MC, Franco OH, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Furusawa T, Gaciong Z, Gafencu M, Galeone D, Galvano F, Gao J, Garcia-de-la-Hera M, Gareta D, Garnett SP, Gaspoz J-M, Gasull M, Gates L, Gazzinelli A, Geiger H, Geleijnse JM, Ghanbari A, Ghasemi E, Ghasemian A, Gheorghe-Fronea O-F, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Godos J, Gogen S, Goldsmith RA, Goltzman D, Gonçalves H, Gonzalez AR, Gonzalez-Chica DA, Gonzalez-Gross M, González-Leon M, González-Rivas JP, González-Villalpando M-E, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Gu D, Gualdi-Russo E, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter M, Guo X, Guo Y, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Hadaegh F, Hadjigeorgiou CA, Haghshenas R, Halkjær J, Hardy R, Hari Kumar R, Hassapidou M, Hata J, Haugsgjerd T, He J, He Y, Heidinger-Felso R, Heinen M, Hejgaard T, Hendriks ME, Henriques A, Hernandez Cadena L, Herrala S, Herrera VM, Herter-Aeberli I, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Hofman A, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huidumac Petrescu C, Huisman M, Husseini A, Huu CN, Huybrechts I, Hwalla N, Hyska J, Iacoviello L, Ibarluzea JM, Ibrahim MM, Ibrahim Wong N, Ikram MA, Irazola VE, Ishida T, Islam M, Ismail A-S, Ivkovic V, Iwasaki M, Jääskeläinen T, Jackson RT, Jacobs JM, Jaddou H, Jafar T, James K, Jamil KM, Jamrozik K, Janszky I, Janus E, Jarani J, Jarvelin M-R, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jeong S-L, Jiang CQ, Jimenez RO, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Jovic DP, Józwiak J, Juolevi A, Jurak G, Juresa V, Kaaks R, Kafatos A, Kajantie EO, Kalter-Leibovici O, Kamaruddin NA, Kameli Y, Kapantais E, Karki KB, Kasaeian A, Katibeh M, Katz J, Katzmarzyk PT, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva G, Keil U, Keinan-Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HCG, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khateeb M, Khaw K-T, Kheiri B, Khosravi A, Khouw IMSL, Kiechl S, Kiechl-Kohlendorfer U, Killewo J, Kim J, Kim Y-Y, Klimont J, Klumbiene J, Knoflach M, Koirala B, Kolle E, Kolsteren P, König J, Korpelainen R, Korrovits P, Korzycka M, Koskinen S, Kouda K, Kovacs VA, Kowlessur S, Koziel S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kuh D, Kujala UM, Kujundzic E, Kulaga Z, Kumar RK, Kunešová M, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, La QN, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Lang Morovic M, Lanska V, Lappas G, Larijani B, Latt TS, Laugsand LE, Lauria L, Lazo-Porras M, Le Nguyen Bao K, Le Port A, Le TD, Lee J, Lee PH, Lehtimäki T, Lemogoum D, Levitt NS, Lilly CL, Lim W-Y, Lima-Costa MF, Lin H-H, Lin X, Lind L, Linneberg A, Lissner L, Litwin M, Liu J, Loit H-M, Lopes L, Lopez T, López-García E, Lorbeer R, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lytsy P, Ma G, Ma J, Machado-Coelho GLL, Machado-Rodrigues AM, Machi S, Maggi S, Magliano DJ, Magriplis E, Maire B, Majer M, Makdisse M, Malekzadeh F, Malekzadeh R, Malhotra R, Malyutina S, Maniego LV, Manios Y, Mann JI, Manzato E, Margozzini P, Markaki A, Markey O, Markidou Ioannidou E, Marques LP, Marques-Vidal P, Marrugat J, Martin R, Martin-Prevel Y, Martorell R, Martos E, Marventano S, Masoodi SR, Mathiesen EB, Mathur P, Matijasevich A, Matsha TE, Mazur A, Mbanya JCN, McFarlane SR, McKee M, McLachlan S, McLean RM, McLean SB, McNulty BA, Md Yusof S, Mediene-Benchekor S, Medzioniene J, Mehdipour P, Meirhaeghe A, Meisfjord J, Meisinger C, Menezes AMB, Menon GR, Mensink GBM, Mereke A, Meshram II, Metspalu A, Meyer HE, Mi J, Michaelsen KF, Michels N, Mikkel K, Miller JC, Minderico CS, Miquel JF, Mirkopoulou D, Mirrakhimov E, Misigoj-Durakovic M, Mistretta A, Mocanu V, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebi F, Moitry M, Molbo D, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monterrubio EA, Monyeki KDK, Moon JS, Moreira LB, Morejon A, Moreno LA, Morgan K, Morin S, Mortensen EL, Moschonis G, Mossakowska M, Mota J, Mota-Pinto A, Motlagh ME, Motta J, Msyamboza KP, Mu TT, Muc M, Mugoša B, Muiesan ML, Mukhtorova P, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Milanovic SM, Musil V, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Nardone P, Nauck M, Navarrete-Muñoz EM, Neal WA, Nelis K, Nelis L, Nenko I, Nervi F, Nguyen CT, Nguyen ND, Nguyen QN, Nieto-Martínez RE, Ning G, Ninomiya T, Nishtar S, Noale M, Noboa OA, Norat T, Norie S, Noto D, Nsour MA, Nurk E, Nyirenda M, Obreja G, Ochoa-Avilés AM, Oda E, Oh K, Ohara K, Ohtsuka R, Olafsson Ö, Olinto MTA, Oliveira IO, Oltarzewski M, Omar MA, Onat A, O’Neill TW, Ong SK, Ono LM, Ordunez P, O’Reilly D, Ornelas R, Ortiz AP, Ortiz PJ, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pagkalos I, Pahomova E, Pająk A, Palli D, Palloni A, Palmieri L, Pan W-H, Panda-Jonas S, Pandey A, Panza F, Papandreou D, Park S-W, Parnell WR, Parsaeian M, Pascanu IM, Patel ND, Pecin I, Pednekar MS, Peer N, Peixoto SV, Peltonen M, Pereira AC, Pérez CM, Perez-Farinos N, Peters A, Petersmann A, Petkeviciene J, Petrauskiene A, Peykari N, Pham ST, Pierannunzio D, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Plans-Rubió P, Poh BK, Pohlabeln H, Pop RM, Popovic SR, Porta M, Portegies MLP, Posch G, Poulimeneas D, Pouraram H, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Puder JJ, Pudule I, Puhakka SE, Puiu M, Punab M, Qasrawi RF, Qorbani M, Quoc Bao T, Radhika MS, Radic I, Radisauskas R, Rahman M, Raitakari O, Raj M, Rajkumar H, Rakhmatulloev S, Ramachandra Rao S, Ramachandran A, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Rao KM, Rascon-Pacheco RA, Rasmussen M, Redon J, Reganit PFM, Regecová V, Revilla L, Ribas-Barba L, Ribeiro R, Riboli E, Rigo F, Rinaldo N, Rinke de Wit TF, Rito A, Ritti-Dias RM, Rivera JA, Robitaille C, Rodrigues D, Rodríguez-Artalejo F, Rodriguez-Perez MC, Rodríguez-Villamizar LA, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Rosengren A, Rouse I, Roy JGR, Rubinstein A, Rühli FJ, Ruidavets J-B, Ruiz Moreno E, Ruiz-Betancourt BS, Russo P, Rust P, Rutkowski M, Sabanayagam C, Sachdev HS, Safiri S, Saidi O, Salanave B, Salazar-Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sandjaja, Sans S, Santa-Marina L, Santos DA, Santos IS, Santos O, Santos R, Sanz SS, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum K-U, Savva S, Savy M, Scazufca M, Schaffrath Rosario A, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt CO, Schmidt IM, Schöttker B, Schultsz C, Schutte AE, Sebert S, Sein AA, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera V, Serra-Majem L, Servais J, Shalnova SA, Sharma SK, Shaw JE, Shengelia L, Shibuya K, Shimizu-Furusawa H, Shin DW, Shin Y, Siani A, Siantar R, Sibai AM, Silva AM, Silva DAS, Simon M, Simons J, Simons LA, Si-Ramlee K, Sjöberg A, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Snijder MB, So H-K, Sobngwi E, Söderberg S, Soekatri MYE, Soemantri A, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Sossa Jérome C, Soumaré A, Spinelli A, Spiroski I, Staessen JA, Stamm H, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stöckl D, Stocks T, Stokwiszewski J, Stratton G, Stronks K, Strufaldi MW, Sturua L, Suárez-Medina R, Sun C-A, Sundström J, Sung Y-T, Sunyer J, Suriyawongpaisal P, Swinburn BA, Sy RG, Sylva RC, Szponar L, Tai ES, Tammesoo M-L, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Taxová Braunerová R, Taylor A, Tchibindat F, Tebar WR, Tell G, Tello T, Theobald H, Theodoridis X, Thijs L, Thuesen BH, Tichá L, Timmermans EJ, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Toselli S, Traissac P, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tsao Y-H, Tshepo L, Tsigga M, Tsugane S, Tulloch-Reid MK, Tullu F, Tuomainen T-P, Tuomilehto J, Turley ML, Tynelius P, Tzotzas T, Tzourio C, Ueda P, Ugel EE, Ukoli FAM, Ulmer H, Unal B, Uusitalo HMT, Vaitkeviciute J, Valdivia G, Vale S, Valvi D, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varela-Moreiras G, Varona-Pérez P, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Vineis P, Vioque J, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Völzke H, Voutilainen A, Voutilainen S, Vrijheid M, Vrijkotte TGM, Wade AN, Wagner A, Waldhör T, Walton J, Wan Bebakar WM, Wan Mohamud WN, Wanderley RS, Jr, Wang M-D, Wang Q, Wang X, Wang YX, Wang Y-W, Wannamethee SG, Wareham N, Weber A, Weerasekera D, Weghuber D, Wei W, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong JE, Wong TY, Wong-McClure RA, Woo J, Woodward M, Wu FC, Wu J, Wu S, Xu H, Xu L, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yaseri M, Ye X, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, You QS, You S-L, Younger-Coleman NO, Yusoff AF, Zaccagni L, Zafiropulos V, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zhussupov B, Zimmermann E, Zuñiga Cisneros J, Ezzati M, Yiallouros, Panayiotis K. [0000-0002-8339-9285], APH - Societal Participation & Health, APH - Aging & Later Life, Epidemiology and Data Science, Public and occupational health, APH - Health Behaviors & Chronic Diseases, and APH - Personalized Medicine

Subjects
Male, Rural Population, obesity, Obesity, body mass index, Settore MED/09 - Medicina Interna, Letter, Urban Population, Epidemiology, [SDV]Life Sciences [q-bio], humanos, body-mass index, adolescente, Geographic Mapping, Sex Factor, países desarrollados, Rural Health, purl.org/pe-repo/ocde/ford#3.03.09 [https], systematic analysis, Body Mass Index, países en desarrollo, 80 and over, risk factors, Age Factor, physical-activity, mediana edad, mapeo geográfico, Aged, 80 and over, anciano, purl.org/pe-repo/ocde/ford#3.02.18 [https], dieta, Age Factors, health, adulto, Middle Aged, Multidisciplinary Sciences, adulto joven, [SDV] Life Sciences [q-bio], estado nutricional, nutrition, Science & Technology - Other Topics, NUTRITION, Female, HEALTH, pooled analysis, Diet, Healthy, worldwide trends, Human, Developed Countrie, Adult, Adolescent, purl.org/pe-repo/ocde/ford#3.03.04 [https], FOOD SYSTEM, Socio-culturale, Nutritional Status, URBAN, Aged, Developed Countries, Developing Countries, Humans, Obesity, Sex Factors, Urban Health, Young Adult, POOLED ANALYSIS, Developing Countrie, MIDDLE-INCOME COUNTRIES, SYSTEMATIC ANALYSIS, Urban rural Obesity Body-Mass-Index, obesidad, Middle-income countries, food system, urban, weight, Healthy, Science & Technology, índice de masa corporal, Diet, PHYSICAL-ACTIVITY, WORLDWIDE TRENDS, Risk factors, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, WEIGHT
Abstract

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories., This study was funded by the Wellcome Trust. H.B. was supported by a Medical Research Council Doctoral Training Partnership Studentship, J.B. by a Royal Society Research Grant, and M.D.C. by an Academy of Medical Sciences Springboard Award. We thank L. Jaacks, B. Popkin, S. Sundberg and W. Willett for recommendations of relevant citations. The authors are responsible for the views expressed in this Letter and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated.

Published
2019

22. Intake of Individual Fatty Acids and Risk of Prostate Cancer in the European Prospective Investigation into Cancer and Nutrition

Author

Perez‐Cornago, Aurora, Huybrechts, Inge, Appleby, Paul N., Schmidt, Julie A., Crowe, Francesca L., Overvad, Kim, Tjønneland, Anne, Kühn, Tilman, Katzke, Verena, Trichopoulou, Antonia, Karakatsani, Anna, Peppa, Eleni, Grioni, Sara, Palli, Domenico, Sacerdote, Carlotta, Tumino, Rosario, Bueno‐de‐Mesquita, H. Bas, Larrañaga, Nerea, Sánchez, Maria‐Jose, Quirós, J. Ramón, Ardanaz, Eva, Chirlaque, María‐Dolores, Agudo, Antonio, Bjartell, Anders, Wallström, Peter, Chajes, Veronique, Tsilidis, Konstantinos K., Aune, Dagfinn, Riboli, Elio, Travis, Ruth C., and Key, Timothy J.

Subjects
Adult, Male, Prostatic Neoplasms/epidemiology, Àcids grassos, DIETARY-FAT, CALCIUM, ENERGY, SDG 3 - Good Health and Well-being, Risk Factors, Humans, COHORT, 1112 Oncology and Carcinogenesis, Oncology & Carcinogenesis, Prospective Studies, VALIDITY, Fatty acids, Nutrició, Aged, Dietary Fats/administration & dosage, Nutrition, Science & Technology, Prostate cancer, Càncer de pròstata, Fatty Acids, Prostatic Neoplasms, Fatty Acids/administration & dosage, ASSOCIATION, tumor subtypes, Middle Aged, prospective, prostate cancer, Dietary Fats, PHYSICAL-ACTIVITY, individual fatty acids, Oncology, Life Sciences & Biomedicine, Cancer Epidemiology
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 (p heterogeneity, What's new? Are individual dietary fatty acids associated with prostate cancer development and progression? In this large, prospective study, the authors found that for prostate cancer overall, the answer is no. However, a higher intake of butyric acid may be associated with an increased risk of advanced‐stage prostate cancer, and higher intakes of eicosenoic and eicosapentaenoic acids may be positively associated with risk of lethal prostate cancer.

Published
2019

23. Anthropometry and the Risk of Lung Cancer in EPIC

Author

Dewi, Nikmah Utami, Boshuizen, Hendriek C, Johansson, Mattias, Vineis, Paolo, Kampman, Ellen, Steffen, Annika, Tjønneland, Anne, Halkjær, Jytte, Overvad, Kim, Severi, Gianluca, Fagherazzi, Guy, Boutron-Ruault, Marie-Christine, Kaaks, Rudolf, Li, Kuanrong, Boeing, Heiner, Trichopoulou, Antonia, Bamia, Christina, Klinaki, Eleni, Tumino, Rosario, Palli, Domenico, Mattiello, Amalia, Tagliabue, Giovanna, Peeters, Petra H, Vermeulen, Roel, Weiderpass, Elisabete, Torhild Gram, Inger, Huerta, José María, Agudo, Antonio, Sánchez, María-José, Ardanaz, Eva, Dorronsoro, Miren, Quirós, José Ramón, Sonestedt, Emily, Johansson, Mikael, Grankvist, Kjell, Key, Tim, Khaw, Kay-Tee, Wareham, Nick, Cross, Amanda J, Norat, Teresa, Riboli, Elio, Fanidi, Anouar, Muller, David, Bueno-de-Mesquita, H Bas, LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-I&I RA, dIRAS RA-2, LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-I&I RA, dIRAS RA-2, and Imperial College Trust

Subjects
Male, obesity, Lung Neoplasms, Nutrition and Disease, Epidemiology, Comorbidity, waist to hip ratio, ORIGINAL CONTRIBUTIONS, Tumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14], 0302 clinical medicine, Waist–hip ratio, Voeding en Ziekte, Multicenter Studies as Topic, Medicine, Prospective Studies, 030212 general & internal medicine, POPULATION, Public, Environmental & Occupational Health, Human Nutrition & Health, Waist-to-height ratio, Anthropometry, Hazard ratio, Humane Voeding & Gezondheid, Confounding Factors, Epidemiologic, 11 Medical And Health Sciences, Middle Aged, waist circumference, Europe, LEANNESS, 030220 oncology & carcinogenesis, Female, Life Sciences & Biomedicine, Adult, medicine.medical_specialty, Waist, body mass index, waist-to-height ratio, Risk Assessment, smoking, 03 medical and health sciences, Journal Article, Humans, COHORT, Lung cancer, waist-to-heigh ratio, METAANALYSIS, 01 Mathematical Sciences, Aged, Proportional Hazards Models, VLAG, MODEL ANALYSIS, Science & Technology, Waist-Hip Ratio, business.industry, Proportional hazards model, CURRENT SMOKERS, Cancer, FAT DISTRIBUTION, medicine.disease, Diet, Surgery, BODY-MASS INDEX, lung cancer, business, Body mass index, Demography
Abstract

The associations of body mass index (BMI) and other anthropometric measurements with lung cancer were examined in 348,108 participants in the European Investigation Into Cancer and Nutrition (EPIC) between 1992 and 2010. The study population included 2,400 case patients with incident lung cancer, and the average length of follow-up was 11 years. Hazard ratios were calculated using Cox proportional hazard models in which we modeled smoking variables with cubic splines. Overall, there was a significant inverse association between BMI (weight (kg)/height (m)(2)) and the risk of lung cancer after adjustment for smoking and other confounders (for BMI of 30.0-34.9 versus 18.5-25.0, hazard ratio = 0.72, 95% confidence interval: 0.62, 0.84). The strength of the association declined with increasing follow-up time. Conversely, after adjustment for BMI, waist circumference and waist-to-height ratio were significantly positively associated with lung cancer risk (for the highest category of waist circumference vs. the lowest, hazard ratio = 1.25, 95% confidence interval: 1.05, 1.50). Given the decline of the inverse association between BMI and lung cancer over time, the association is likely at least partly due to weight loss resulting from preclinical lung cancer that was present at baseline. Residual confounding by smoking could also have influenced our findings.

Published
2016

24. Cohort profile: LIFEWORK, a prospective cohort study on occupational and environmental risk factors and health in the Netherlands

Author

Reedijk, Marije, Lenters, Virissa, Slottje, Pauline, Pijpe, Anouk, Peeters, Petra H., Korevaar, Joke C., Bueno-de-Mesquita, H. Bas, Verschuren, W M Monique, Verheij, Robert A., Pieterson, Inka, van Leeuwen, Flora E, Rookus, Matti a, Kromhout, Hans, Vermeulen, Roel C H, One Health Chemisch, LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-2, LS IRAS EEPI EXAS (Arb.hyg+bl.st.kar.), One Health Chemisch, LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-2, LS IRAS EEPI EXAS (Arb.hyg+bl.st.kar.), General practice, Plastic, Reconstructive and Hand Surgery, Epidemiology and Data Science, and APH - Quality of Care

Subjects
Male, 010501 environmental sciences, 01 natural sciences, Shift work, 0302 clinical medicine, Risk Factors, Epidemiology, Medicine, Prospective Studies, 030212 general & internal medicine, Prospective cohort study, Non-U.S. Gov't, Netherlands, Aged, 80 and over, General Medicine, Middle Aged, 3. Good health, Cohort, Regression Analysis, Female, epidemiology, Environmental Health, Environmental Monitoring, Cohort study, Adult, electromagnetic fields, medicine.medical_specialty, Nitrogen Dioxide, population-based studies, Research Support, Young Adult, 03 medical and health sciences, Air Pollution, Occupational Exposure, Environmental health, Humans, occupational and environmental exposures, repeatability, Baseline (configuration management), Aged, 0105 earth and related environmental sciences, Occupational and Environmental Medicine, Cohort Profile, Data collection, business.industry, Mobile phone, Particulate Matter, Self Report, business, Cell Phone
Abstract

PurposeLIFEWORK is a large federated prospective cohort established in the Netherlands to quantify the health effects of occupational and environmental exposures. This cohort is also the Dutch contribution to the international Cohort Study of Mobile Phone Use and Health (COSMOS). In this paper, we describe the study design, ongoing data collection, baseline characteristics of participants and the repeatability of key questionnaire items.Participants88 466 participants were enrolled in three cohort studies in 2011–2012. Exposure information was collected by a harmonised core questionnaire, or modelled based on occupational and residential histories; domains include air pollution (eg, nitrogen dioxide (NO2), particulate matter with diameter ≤2.5 µm (PM2.5)), noise, electromagnetic fields (EMF), mobile phone use, shift work and occupational chemical exposures. Chronic and subacute health outcomes are assessed by self-report and through linkage with health registries.Findings to dateParticipants had a median age of 51 years at baseline (range 19–87), and the majority are female (90%), with nurses being over-represented. Median exposure levels of NO2, PM2.5, EMF from base stations and noise at the participants’ home addresses at baseline were 22.9 µg/m3, 16.6 µg/m3, 0.003 mWm2and 53.1 dB, respectively. Twenty-two per cent of participants reported to have started using a mobile phone more than 10 years prior to baseline. Repeatability for self-reported exposures was moderate to high (weighted kappa range: 0.69–1) for a subset of participants (n=237) who completed the questionnaire twice.Future plansWe are actively and passively observing participants; we plan to administer a follow-up questionnaire every 4–5 years—the first follow-up will be completed in 2018—and linkage to cause-of-death and cancer registries occurs on a (bi)annual basis. This prospective cohort offers a unique, large and rich resource for research on contemporary occupational and environmental health risks and will contribute to the large international COSMOS study on mobile phone use and health.

Published
2018

25. Low Free Testosterone and Prostate Cancer Risk : A Collaborative Analysis of 20 Prospective Studies

Author

Watts, Eleanor L., Appleby, Paul N., Perez-Cornago, Aurora, Bueno-de-Mesquita, H. Bas, Chan, June M., Chen, Chu, Cohn, Barbara A., Cook, Michael B., Flicker, Leon, Freedman, Neal D., Giles, Graham G., Giovannucci, Edward, Gislefoss, Randi E., Hankey, Graeme J., Kaaks, Rudolf, Knekt, Paul, Kolonel, Laurence N., Kubo, Tatsuhiko, Le Marchand, Loic, Luben, Robert N., Luostarinen, Tapio, Mannisto, Satu, Metter, E. Jeffrey, Mikami, Kazuya, Milne, Roger L., Ozasa, Kotaro, Platz, Elizabeth A., Quiros, J. Ramon, Rissanen, Harri, Sawada, Norie, Stampfer, Meir, Stanczyk, Frank Z., Stattin, Pär, Tamakoshi, Akiko, Tangen, Catherine M., Thompson, Ian M., Tsilidis, Konstantinos K., Tsugane, Shoichiro, Ursin, Giske, Vatten, Lars, Weiss, Noel S., Yeap, Bu B., Allen, Naomi E., Key, Timothy J., and Travis, Ruth C.

Subjects
Adult, Male, Urologic Diseases, Aging, Time Factors, Epidemiology, Clinical Sciences, FLOATING ABSOLUTE RISK, Down-Regulation, Risk Assessment, Pooled analysis, SEX STEROID ASSAYS, Risk Factors, Clinical Research, Urologi och njurmedicin, Humans, 2.1 Biological and endogenous factors, Urology and Nephrology, Sex hormones, Testosterone, Prospective Studies, Aetiology, Aged, Cancer, PREVENTION TRIAL, Science & Technology, Prostate cancer, Prevention, ANDROGEN RECEPTOR, Prostatic Neoplasms, MEN, 1103 Clinical Sciences, MASS-SPECTROMETRY, Androgens Pooled analysis, Middle Aged, Protective Factors, Urology & Nephrology, SERUM TESTOSTERONE, Case-Control Studies, Androgens, FINASTERIDE, CLINICAL-IMPLICATIONS, HORMONES, Neoplasm Grading, Life Sciences & Biomedicine, Prospective studies, Biomarkers
Abstract

Background Experimental and clinical evidence implicates testosterone in the aetiology of prostate cancer. Variation across the normal range of circulating free testosterone concentrations may not lead to changes in prostate biology, unless circulating concentrations are low. This may also apply to prostate cancer risk, but this has not been investigated in an epidemiological setting. Objective To examine whether men with low concentrations of circulating free testosterone have a reduced risk of prostate cancer. Design, setting, and participants Analysis of individual participant data from 20 prospective studies including 6933 prostate cancer cases, diagnosed on average 6.8 yr after blood collection, and 12 088 controls in the Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group. Outcome measurements and statistical analysis Odds ratios (ORs) of incident overall prostate cancer and subtypes by stage and grade, using conditional logistic regression, based on study-specific tenths of calculated free testosterone concentration. Results and limitations Men in the lowest tenth of free testosterone concentration had a lower risk of overall prostate cancer (OR = 0.77, 95% confidence interval [CI] 0.69–0.86; p < 0.001) compared with men with higher concentrations (2nd–10th tenths of the distribution). Heterogeneity was present by tumour grade (phet = 0.01), with a lower risk of low-grade disease (OR = 0.76, 95% CI 0.67–0.88) and a nonsignificantly higher risk of high-grade disease (OR = 1.56, 95% CI 0.95–2.57). There was no evidence of heterogeneity by tumour stage. The observational design is a limitation. Conclusions Men with low circulating free testosterone may have a lower risk of overall prostate cancer; this may be due to a direct biological effect, or detection bias. Further research is needed to explore the apparent differential association by tumour grade. Patient summary In this study, we looked at circulating testosterone levels and risk of developing prostate cancer, finding that men with low testosterone had a lower risk of prostate cancer. © 2018 The Authors. Published by Elsevier B.V. on behalf of European Association of Urology. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Published
2018

26. WHO guidelines for a healthy diet and mortality from cardiovascular disease in European and American elderly: the CHANCES project12

Author

Jankovic, Nicole, Geelen, Anouk, Streppel, Martinette T, de Groot, Lisette CPGM, Kiefte-de Jong, Jessica C, Orfanos, Philippos, Bamia, Christina, Trichopoulou, Antonia, Boffetta, Paolo, Bobak, Martin, Pikhart, Hynek, Kee, Frank, O’Doherty, Mark G, Buckland, Genevieve, Woodside, Jayne, Franco, Oscar H, Ikram, M Arfan, Struijk, Ellen A, Pajak, Andrzej, Malyutina, Sofia, Kubinova, Růžena, Wennberg, Maria, Park, Yikyung, Bueno-de-Mesquita, H Bas, Kampman, Ellen, and Feskens, Edith J

Subjects
Dietary Fiber, Male, World Health Organization, Nutrition Policy, Cholesterol, Dietary, Meta-Analysis as Topic, cardiovascular disease, Vegetables, Dietary Carbohydrates, Ethnicity, Humans, Prospective Studies, CHANCES, Aged, aging, Fatty Acids, cohort, Cardiovascular Disease Risk, Middle Aged, United States, Diet, meta-analysis, Europe, Nutrition Assessment, Cardiovascular Diseases, Fruit, Chronic Disease, Fatty Acids, Unsaturated, Patient Compliance, Female, Dietary Proteins
Abstract

Background: Cardiovascular disease (CVD) represents a leading cause of mortality worldwide, especially in the elderly. Lowering the number of CVD deaths requires preventive strategies targeted on the elderly. Objective: The objective was to generate evidence on the association between WHO dietary recommendations and mortality from CVD, coronary artery disease (CAD), and stroke in the elderly aged ≥60 y. Design: We analyzed data from 10 prospective cohort studies from Europe and the United States comprising a total sample of 281,874 men and women free from chronic diseases at baseline. Components of the Healthy Diet Indicator (HDI) included saturated fatty acids, polyunsaturated fatty acids, mono- and disaccharides, protein, cholesterol, dietary fiber, and fruit and vegetables. Cohort-specific HRs adjusted for sex, education, smoking, physical activity, and energy and alcohol intakes were pooled by using a random-effects model. Results: During 3,322,768 person-years of follow-up, 12,492 people died of CVD. An increase of 10 HDI points (complete adherence to an additional WHO guideline) was, on average, not associated with CVD mortality (HR: 0.94; 95% CI: 0.86, 1.03), CAD mortality (HR: 0.99; 95% CI: 0.85, 1.14), or stroke mortality (HR: 0.95; 95% CI: 0.88, 1.03). However, after stratification of the data by geographic region, adherence to the HDI was associated with reduced CVD mortality in the southern European cohorts (HR: 0.87; 95% CI: 0.79, 0.96; I2 = 0%) and in the US cohort (HR: 0.85; 95% CI: 0.83, 0.87; I2 = not applicable). Conclusion: Overall, greater adherence to the WHO dietary guidelines was not significantly associated with CVD mortality, but the results varied across regions. Clear inverse associations were observed in elderly populations in southern Europe and the United States.

Published
2015

27. Tall height and obesity are associated with an increased risk of aggressive prostate cancer : results from the EPIC cohort study

Author

Perez-Cornago, Aurora, Appleby, Paul N, Pischon, Tobias, Tsilidis, Konstantinos K, Tjønneland, Anne, Olsen, Anja, Overvad, Kim, Kaaks, Rudolf, Kühn, Tilman, Boeing, Heiner, Steffen, Annika, Trichopoulou, Antonia, Lagiou, Pagona, Kritikou, Maria, Krogh, Vittorio, Palli, Domenico, Sacerdote, Carlotta, Tumino, Rosario, Bueno-de-Mesquita, H Bas, Agudo, Antonio, Larrañaga, Nerea, Molina-Portillo, Elena, Barricarte, Aurelio, Chirlaque, Maria-Dolores, Quirós, J Ramón, Stattin, Pär, Häggström, Christel, Wareham, Nick, Khaw, Kay-Tee, Schmidt, Julie A, Gunter, Marc, Freisling, Heinz, Aune, Dagfinn, Ward, Heather, Riboli, Elio, Key, Timothy J, Travis, Ruth C, Imperial College Trust, Wareham, Nicholas [0000-0003-1422-2993], Khaw, Kay-Tee [0000-0002-8802-2903], and Apollo - University of Cambridge Repository

Subjects
Male, Medicin och hälsovetenskap, European Continental Ancestry Group, lcsh:Medicine, Medical and Health Sciences, White People, Tumour characteristics, Body Mass Index, Cohort Studies, SDG 3 - Good Health and Well-being, High grade, Risk Factors, General & Internal Medicine, Urologi och njurmedicin, Journal Article, Urology and Nephrology, Humans, Prospective Studies, Obesity, Aged, Proportional Hazards Models, Adiposity, Cancer och onkologi, Prostate cancer, Càncer de pròstata, Height, lcsh:R, Prostatic Neoplasms, 11 Medical And Health Sciences, Middle Aged, Body Height, Pathobiology, Nutrition Assessment, Cardiovascular and Metabolic Diseases, Cancer and Oncology, Obesitat, Waist Circumference, Cohort study, Patobiologi, Research Article
Abstract

Background The relationship between body size and prostate cancer risk, and in particular risk by tumour characteristics, is not clear because most studies have not differentiated between high-grade or advanced stage tumours, but rather have assessed risk with a combined category of aggressive disease. We investigated the association of height and adiposity with incidence of and death from prostate cancer in 141,896 men in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Methods Multivariable-adjusted Cox proportional hazards models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). After an average of 13.9 years of follow-up, there were 7024 incident prostate cancers and 934 prostate cancer deaths. Results Height was not associated with total prostate cancer risk. Subgroup analyses showed heterogeneity in the association with height by tumour grade (P heterogeneity = 0.002), with a positive association with risk for high-grade but not low-intermediate-grade disease (HR for high-grade disease tallest versus shortest fifth of height, 1.54; 95% CI, 1.18–2.03). Greater height was also associated with a higher risk for prostate cancer death (HR = 1.43, 1.14–1.80). Body mass index (BMI) was significantly inversely associated with total prostate cancer, but there was evidence of heterogeneity by tumour grade (P heterogeneity = 0.01; HR = 0.89, 0.79–0.99 for low-intermediate grade and HR = 1.32, 1.01–1.72 for high-grade prostate cancer) and stage (P heterogeneity = 0.01; HR = 0.86, 0.75–0.99 for localised stage and HR = 1.11, 0.92–1.33 for advanced stage). BMI was positively associated with prostate cancer death (HR = 1.35, 1.09–1.68). The results for waist circumference were generally similar to those for BMI, but the associations were slightly stronger for high-grade (HR = 1.43, 1.07–1.92) and fatal prostate cancer (HR = 1.55, 1.23–1.96). Conclusions The findings from this large prospective study show that men who are taller and who have greater adiposity have an elevated risk of high-grade prostate cancer and prostate cancer death. Electronic supplementary material The online version of this article (doi:10.1186/s12916-017-0876-7) contains supplementary material, which is available to authorized users.

Published
2017

28. Diet quality scores and prediction of all-cause, cardiovascular and cancer mortality in a pan-european cohort study

Author

Lassale, Camille, Gunter, Marc J., Romaguera, Dora, Peelen, Linda M., Van der Schouw, Yvonne T., Beulens, Joline W. J., Freisling, Heinz, Muller, David C., Ferrari, Pietro, Huybrechts, Inge, Fagherazzi, Guy, Boutron-Ruault, Marie-Christine, Affret, Aurelie, Overvad, Kim, Dahm, Christina C., Olsen, Anja, Roswall, Nina, Tsilidis, Konstantinos K., Katzke, Verena A., Kuehn, Tilman, Buijsse, Brian, Quiros, Jose-Ramon, Sanchez-Cantalejo, Emilio, Etxezarreta, Nerea, Maria Huerta, Jose, Barricarte, Aurelio, Bonet, Catalina, Khaw, Kay-Tee, Key, Timothy J., Trichopoulou, Antonia, Bamia, Christina, Lagiou, Pagona, Palli, Domenico, Agnoli, Claudia, Tumino, Rosario, Fasanelli, Francesca, Panico, Salvatore, Bueno-de-Mesquita, H. Bas, Boer, Jolanda M. A., Sonestedt, Emily, Nilsson, Lena Maria, Renstrom, Frida, Weiderpass, Elisabete, Skeie, Guri, Lund, Eiliv, Moons, Karel G. M., Riboli, Elio, Tzoulaki, Ioanna, Khaw, Kay-Tee [0000-0002-8802-2903], Apollo - University of Cambridge Repository, Epidemiology and Data Science, EMGO - Lifestyle, overweight and diabetes, Lassale, Camille, Gunter, Marc J, Romaguera, Dora, Peelen, Linda M, Van der Schouw, Yvonne T, Beulens, Joline W. J, Freisling, Heinz, Muller, David C, Ferrari, Pietro, Huybrechts, Inge, Fagherazzi, Guy, Boutron Ruault, Marie Christine, Affret, Aurélie, Overvad, Kim, Dahm, Christina C, Olsen, Anja, Roswall, Nina, Tsilidis, Konstantinos K, Katzke, Verena A, Kühn, Tilman, Buijsse, Brian, Quirós, José Ramón, Sánchez Cantalejo, Emilio, Etxezarreta, Nerea, Huerta, José María, Barricarte, Aurelio, Bonet, Catalina, Khaw, Kay Tee, Key, Timothy J, Trichopoulou, Antonia, Bamia, Christina, Lagiou, Pagona, Palli, Domenico, Agnoli, Claudia, Tumino, Rosario, Fasanelli, Francesca, Panico, Salvatore, Bueno de Mesquita, H. Ba, Boer, Jolanda M. A, Sonestedt, Emily, Nilsson, Lena Maria, Renström, Frida, Weiderpass, Elisabete, Skeie, Guri, Lund, Eiliv, Moons, Karel G. M, Riboli, Elio, Tzoulaki, Ioanna, [Lassale,C, Gunter,MJ, Romaguera,D, Tsilidis,KK, Riboli,E, Tzoulaki,I] Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom. [Romaguera,D] Instituto de Investigación Sanitaria de Palma (IdISPa), Palma de Mallorca, Spain. [Romaguera,D, Quirós,J, Sánchez-Cantalejo,E, Etxezarreta,N, Huerta,JM, Barricarte,A, Bonet,C] CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain. [Peelen,LM, Schouw,ITV, Beulens,JWJ, Moons,KGM] Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands.[Freisling,H, Muller,DC, Ferrari,P, Huybrechts,I] International Agency for Research on Cancer, Lyon, France. [Fagherazz,G, Boutron-Ruault,M, Affret,A] Institut National de la Santé et de la Recherche Médicale, Center for Research in Epidemiology and Population, Health, Villejuif, France. Institut Gustave Roussy, Villejuif, France. Paris South University, Unité Mixte de Recherche, Villejuif, France. [Overvad,K, Dahm,CC] Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark. [Olsen,A, Roswall,N] Danish Cancer Society, Institute of Cancer Epidemiology, Copenhagen, Denmark. [Tsilidis,KK] German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany. [Katzke,VA, Kühn,T] Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke German Institute of Human Nutrition, Potsdam, Germany. [Buijsse,B] Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece. [Quirós,R] Public Health Directorate, Asturias, Oviedo, Spain. [Sánchez-Cantalejo,E] Andalusian School of Public Health, Granada, Spain. [Etxezarreta,N] Public Health Direction and Biodonostia Basque Regional Health Department, San Sebastian, Spain. [Huerta,JM] Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain. [Barricarte,A] Navarre Public Health Institute, Pamplona, Spain. [Bonet,C] Unit of Nutrition, Environment and Cancer, Catalan Institute of Oncology, Barcelona, Spain. [Khaw,K] University of Cambridge School of Clinical Medicine, Clinical Gerontology Unit, Cambridge, United Kingdom. [Key,J] Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, United Kingdom. [Trichopoulou,A, Bamia,C, Lagiou,P] Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece. Hellenic Health Foundation, Athens, Greece. [Palli,D] Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute—ISPO, Florence, Italy. [Agnoli,C] Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Foundation of the Carlo Besta Neurological Institute, Milan, Italy. [Tumino,R] Cancer Registry and Histopathology Unit, 'Civic MP Arezzo' Hospital, Ragusa, Italy. [Fasanelli,F] Human Genetics Foundation, Turin, Italy. [Bueno-de-Mesquita,HB, Boer,JMA] Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, Netherlands. [Sonestedt,E] Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden. [Nilsson,LM, Renström,F] Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden. [Weiderpass,E, Skeie,G, Lund,E] Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway. [Weiderpass,E] Department of Research, Cancer Registry of Norway, Oslo, Norway. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland., Funding: The coordination of EPIC is financially supported by the European Commission (DGSANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France), German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany), the Hellenic Health Foundation (Greece), Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands), Health Research Fund (FIS), PI13/00061 to Granada, Regional Governments of Andalucía, Asturias, Basque Country, Murcia (no. 6236) and Navarra, ISCIII RETIC (RD06/0020) (Spain), Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden), Cancer Research UK (14136 to EPIC-Norfolk, and C570/ A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/ M012190/1 to EPIC-Oxford) (United Kingdom).

Subjects
Male, humanos, Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Weights and Measures::Body Mass Index [Medical Subject Headings], Social Sciences, Índice de masa corporal, Global Health, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings], Cohort Studies, distribución por sexos, Mathematical and Statistical Techniques, Sociology, Risk Factors, Neoplasms, Medicine and Health Sciences, Phenomena and Processes::Musculoskeletal and Neural Physiological Phenomena::Musculoskeletal Physiological Phenomena::Musculoskeletal Physiological Processes::Movement::Motor Activity [Medical Subject Headings], Public and Occupational Health, Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Nutritional Status [Medical Subject Headings], Estado Nutricional, estudios de cohortes, mediana edad, Factores de Riesgo, neoplasias, Medicine(all), Nutrition and Dietetics, VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801, Agricultural and Biological Sciences(all), dieta, Agriculture, Public Health, Global Health, Social Medicine and Epidemiology, Estudios Prospectivos, Plants, Diseases::Neoplasms [Medical Subject Headings], Middle Aged, Neoplasias, Näringslära, Cardiovascular Diseases, Hábitos alimenticios, estilo de vida, Physical Sciences, Medicine, Dieta, Female, Statistics (Mathematics), Research Article, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Prospective Studies [Medical Subject Headings], General Science & Technology, Science, Estudios de cohortes, European Continental Ancestry Group, Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Habits::Smoking [Medical Subject Headings], enfermedades cardiovasculares, Crops, Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet [Medical Subject Headings], Research and Analysis Methods, White People, Education, Fruits, Age Distribution, distribución por edades, SDG 3 - Good Health and Well-being, MD Multidisciplinary, Anatomy::Cardiovascular System [Medical Subject Headings], Journal Article, factores de riesgo, Humans, Statistical Methods, Sex Distribution, Life Style, Educational Attainment, Nutrition, Sistema cardiovascular, Biochemistry, Genetics and Molecular Biology(all), Organisms, Biology and Life Sciences, Physical Activity, Nutrients, Actividad motora, Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Feeding Behavior::Food Habits [Medical Subject Headings], Diet, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies [Medical Subject Headings], Hábito de Fumar, VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801, grupo de ascendencia continental europea, Mathematics, Forecasting, Crop Science
Abstract

Scores of overall diet quality have received increasing attention in relation to disease aetiology; however, their value in risk prediction has been little examined. The objective was to assess and compare the association and predictive performance of 10 diet quality scores on 10-year risk of all-cause, CVD and cancer mortality in 451,256 healthy participants to the European Prospective Investigation into Cancer and Nutrition, followed-up for a median of 12.8y. All dietary scores studied showed significant inverse associations with all outcomes. The range of HRs (95% CI) in the top vs. lowest quartile of dietary scores in a composite model including non-invasive factors (age, sex, smoking, body mass index, education, physical activity and study centre) was 0.75 (0.72-0.79) to 0.88 (0.84-0.92) for all-cause, 0.76 (0.69-0.83) to 0.84 (0.76-0.92) for CVD and 0.78 (0.73-0.83) to 0.91 (0.85-0.97) for cancer mortality. Models with dietary scores alone showed low discrimination, but composite models also including age, sex and other non-invasive factors showed good discrimination and calibration, which varied little between different diet scores examined. Mean C-statistic of full models was 0.73, 0.80 and 0.71 for all-cause, CVD and cancer mortality. Dietary scores have poor predictive performance for 10-year mortality risk when used in isolation but display good predictive ability in combination with other non-invasive common risk factors., The coordination of EPIC is financially supported by the European Commission (D-GSANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Generale de l'Education Nationale, Institut National de la Sante et de la Recherche Medicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany); the Hellenic Health Foundation (Greece); Associazione Italiana per la Ricerca sul Cancro-AIRC- Italy and National Research Council (Italy); Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS), PI13/00061 to Granada, Regional Governments of Andalucia, Asturias, Basque Country, Murcia (no. 6236) and Navarra, ISCIII RETIC (RD06/0020) (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Skane and Vasterbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C570/A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/M012190/1 to EPIC-Oxford) (United Kingdom).

Published
2016

29. A meta-analysis of individual participant data reveals an association between circulating levels of IGF-I and prostate cancer risk

Author

Travis, Ruth, Appleby, Paul, Martin, Richard, Holly, Jeff M.P., Albanes, Demetrius, Black, Amanda, Bueno-De-Mesquita, H. Bas, Chan, June, Chen, Chu, Chirlaque, María-Dolores, Cook, Michael, Deschasaux, Mélanie, Donovan, Jenny, Ferrucci, Luigi, Galan, Pilar, Giles, Graham, Giovannucci, Edward, Gunter, Marc, Habel, Laurel, Hamdy, Freddie, Helzlsouer, Kathy, Hercberg, Serge, Hoover, Robert, Janssen, Joseph A.M.J.L., Kaaks, Rudolf, Kubo, Tatsuhiko, Le Marchand, Loïc, Metter, E. Jeffrey, Mikami, Kazuya, Morris, Joan, Neal, David, Neuhouser, Marian, Ozasa, Kotaro, Palli, Domenico, Platz, Elizabeth, Pollak, Michael, Price, Alison, Roobol, Monique, Schaefer, Catherine, Schenk, Jeannette, Severi, Gianluca, Stampfer, Meir, Stattin, Pär, Tamakoshi, Akiko, Tangen, Catherine, Touvier, Mathilde, Wald, Nicholas, Weiss, Noel, Ziegler, Regina, Key, Timothy, Allen, Naomi, Nuffield Department of Population Health [Oxford], University of Oxford [Oxford], School of Social and Community Medicine [Bristol], University of Bristol [Bristol], National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), National Institute for Public Health and the Environment [Bilthoven] (RIVM), University of California [San Francisco] (UCSF), University of California, Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Consorcio de Investigación Biomédica en Red especializado en Epidemiología y Salud Pública (CIBERESP), Los Centros de Investigación Biomédica en Red (CIBER), Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), National Institute on Aging [Bethesda, USA] (NIA), University of Melbourne, Harvard School of Public Health, School of Public Health - Department of Epidemiology and Biostatistics, Imperial College London, Kaiser Permanente, Nuffield (Nuffield), Mercy Medical Center, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Division of Cancer Epidemiology, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), University of Occupational and Environmental Health [Kitakyushu] (UEOH), University of Hawai‘i [Mānoa] (UHM), Kyoto Prefectural University of Medicine [Kyoto, Japon], Queen Mary University of London (QMUL), University of Cambridge [UK] (CAM), Radiation Effects Research Foundation, Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute – ISPO, Johns Hopkins Bloomberg School of Public Health [Baltimore], Johns Hopkins University (JHU), Cancer Prevention Research Unit, Department of Oncology, McGill University = Université McGill [Montréal, Canada]-Jewish General Hospital, University of Washington [Seattle], Cancer Epidemiology Centre, Cancer Council Victoria, Human Genetics Foundation (HuGeF), Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Hokkaido University Hospital [Sapporo], University of Oxford, University of California [San Francisco] (UC San Francisco), University of California (UC), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), and Deschasaux-Tanguy, Mélanie

Subjects
Urologic Diseases, Male, Aging, Oncology and Carcinogenesis, Article, growth-factor-i, serum-insulin, Risk Factors, prevention trial, Humans, Oncology & Carcinogenesis, Insulin-Like Growth Factor I, factor axis, igfbp-3, Cancer, Aged, Prostate Cancer, hyperplasia, Prostatic Neoplasms, Middle Aged, susceptibility loci, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, factor-binding protein-2, Centre for Surgical Research, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, factor (igf)-i, diet, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Abstract

The role of insulin-like growth factors (IGF) in prostate cancer development is not fully understood. To investigate the association between circulating concentrations of IGFs (IGF-I, IGF-II, IGFBP-1, IGFBP-2, and IGFBP-3) and prostate cancer risk, we pooled individual participant data from 17 prospective and two cross-sectional studies, including up to 10,554 prostate cancer cases and 13,618 control participants. Conditional logistic regression was used to estimate the ORs for prostate cancer based on the study-specific fifth of each analyte. Overall, IGF-I, IGF-II, IGFBP-2, and IGFBP-3 concentrations were positively associated with prostate cancer risk (Ptrend all ≤ 0.005), and IGFBP-1 was inversely associated weakly with risk (Ptrend = 0.05). However, heterogeneity between the prospective and cross-sectional studies was evident (Pheterogeneity = 0.03), unless the analyses were restricted to prospective studies (with the exception of IGF-II, Pheterogeneity = 0.02). For prospective studies, the OR for men in the highest versus the lowest fifth of each analyte was 1.29 (95% confidence interval, 1.16-1.43) for IGF-I, 0.81 (0.68-0.96) for IGFBP-1, and 1.25 (1.12-1.40) for IGFBP-3. These associations did not differ significantly by time-to-diagnosis or tumor stage or grade. Aftermutual adjustment for each of the other analytes, only IGF-I remained associated with risk. Our collaborative study represents the largest pooled analysis of the relationship between prostate cancer risk and circulating concentrations of IGF-I, providing strong evidence that IGF-I is highly likely to be involved in prostate cancer development.

Published
2016

30. Flavonoid and lignan intake and pancreatic cancer risk in the European prospective investigation into cancer and nutrition cohort

Author

Molina-Montes, Esther, Sánchez, María José, Zamora-Ros, Raul, Bueno-de-Mesquita, H. Bas, Wark, Petra A., Obon-Santacana, Mireia, Kühn, Tilman, Katzke, Verena, Travis, Ruth C., Ye, Weimin, Sund, Malin, Naccarati, Alessio, Mattiello, Amalia, Krogh, Vittorio, Martorana, Caterina, Masala, Giovanna, Amiano, Pilar, Huerta, José María, Barricarte, Aurelio, Quirós, José Ramón, Weiderpass, Elisabete, Angell Åsli, Lene, Skeie, Guri, Ericson, Ulrika, Sonestedt, Emily, Peeters, Petra H., Romieu, Isabelle, Scalbert, Augustin, Overvad, Kim, Clemens, Matthias, Boeing, Heiner, Trichopoulou, Antonia, Peppa, Eleni, Vidalis, Pavlos, Khaw, Kay Tee, Wareham, Nick, Olsen, Anja, Tjønneland, Anne, Boutroun-Rualt, Marie Christine, Clavel-Chapelon, Françoise, Cross, Amanda J., Lu, Yunxia, Riboli, Elio, Duell, Eric J., Khaw, Kay-Tee [0000-0002-8802-2903], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository

Subjects
Male, Cancer Research, Oncology and Carcinogenesis, pancreatic cancer, Cohort Studies, Rare Diseases, Complementary and Integrative Health, Journal Article, Humans, Oncology & Carcinogenesis, Prospective Studies, Life Style, Nutrition, Cancer, Proportional Hazards Models, VDP::Medical disciplines: 700::Clinical medical disciplines: 750::Oncology: 762, Prevention, lignans, food and beverages, cohort, Middle Aged, Diet Records, Europe, Pancreatic Neoplasms, Multicenter Study, VDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Onkologi: 762, Oncology, flavonoids, Female, Digestive Diseases, diet, Cancer Epidemiology
Abstract

Despite the potential cancer preventive effects of flavonoids and lignans, their ability to reduce pancreatic cancer risk has not been demonstrated in epidemiological studies. Our aim was to examine the association between dietary intakes of flavonoids and lignans and pancreatic cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. A total of 865 exocrine pancreatic cancer cases occurred after 11.3 years of follow‐up of 477,309 cohort members. Dietary flavonoid and lignan intake was estimated through validated dietary questionnaires and the US Department of Agriculture (USDA) and Phenol Explorer databases. Hazard ratios (HR) and 95% confidence intervals (CIs) were calculated using age, sex and center‐stratified Cox proportional hazards models, adjusted for energy intake, body mass index (BMI), smoking, alcohol and diabetes status. Our results showed that neither overall dietary intake of flavonoids nor of lignans were associated with pancreatic cancer risk (multivariable‐adjusted HR for a doubling of intake = 1.03, 95% CI: 0.95–1.11 and 1.02; 95% CI: 0.89–1.17, respectively). Statistically significant associations were also not observed by flavonoid subclasses. An inverse association between intake of flavanones and pancreatic cancer risk was apparent, without reaching statistical significance, in microscopically confirmed cases (HR for a doubling of intake = 0.96, 95% CI: 0.91–1.00). In conclusion, we did not observe an association between intake of flavonoids, flavonoid subclasses or lignans and pancreatic cancer risk in the EPIC cohort., What's new? Flavonoids and lignans found in plant‐based foods are potent cancer chemopreventive agents but little is known about their effects on pancreatic cancer risk. Here the authors address this question in a large prospective epidemiological study using comprehensively derived dietary data. Their results support growing evidence that there is no association between food‐based consumption of both substances with pancreatic cancer risk.

Published
2016

31. The association of coffee intake with liver cancer risk is mediated by biomarkers of inflammation and hepatocellular injury: data from the European Prospective Investigation into Cancer and Nutrition

Author

Aleksandrova, Krasimira, Bamia, Christina, Drogan, Dagmar, Lagiou, Pagona, Trichopoulou, Antonia, Jenab, Mazda, Fedirko, Veronika, Romieu, Isabelle, Bueno-de-Mesquita, H Bas, Pischon, Tobias, Tsilidis, Kostas, Overvad, Kim, Tjønneland, Anne, Bouton-Ruault, Marie-Christine, Dossus, Laure, Racine, Antoine, Kaaks, Rudolf, Kühn, Tilman, Tsironis, Christos, Papatesta, Eleni-Maria, Saitakis, George, Palli, Domenico, Panico, Salvatore, Grioni, Sara, Tumino, Rosario, Vineis, Paolo, Peeters, Petra H, Weiderpass, Elisabete, Lukic, Marko, Braaten, Tonje, Quirós, J. Ramón, Luján-Barroso, Leila, Sánchez, María-José, Chilarque, Maria-Dolores, Ardanas, Eva, Dorronsoro, Miren, Nilsson, Lena Maria, Sund, Malin, Wallström, Peter, Ohlsson, Bodil, Bradbury, Kathryn E, Khaw, Kay-Tee, Wareham, Nick, Stepien, Magdalena, Duarte-Salles, Talita, Assi, Nada, Murphy, Neil, Gunter, Marc J., Riboli, Elio, Boeing, Heiner, Trichopoulos, Dimitrios, Aleksandrova, Krasimira, Bamia, Christina, Drogan, Dagmar, Lagiou, Pagona, Trichopoulou, Antonia, Jenab, Mazda, Fedirko, Veronika, Romieu, Isabelle, Bueno de Mesquita, H. Ba, Pischon, Tobia, Tsilidis, Kosta, Overvad, Kim, Tjønneland, Anne, Bouton Ruault, Marie Christine, Dossus, Laure, Racine, Antoine, Kaaks, Rudolf, Kühn, Tilman, Tsironis, Christo, Papatesta, Eleni Maria, Saitakis, George, Palli, Domenico, Panico, Salvatore, Grioni, Sara, Tumino, Rosario, Vineis, Paolo, Peeters, Petra H, Weiderpass, Elisabete, Lukic, Marko, Braaten, Tonje, Quirós, J. Ramón, Luján Barroso, Leila, Sánchez, María José, Chilarque, Maria Dolore, Ardanas, Eva, Dorronsoro, Miren, Nilsson, Lena Maria, Sund, Malin, Wallström, Peter, Ohlsson, Bodil, Bradbury, Kathryn E, Khaw, Kay Tee, Wareham, Nick, Stepien, Magdalena, Duarte Salles, Talita, Assi, Nada, Murphy, Neil, Gunter, Marc J, Riboli, Elio, Boeing, Heiner, Trichopoulos, Dimitrios, Khaw, Kay-Tee [0000-0002-8802-2903], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, and University Medical Center Utrecht

Subjects
Male, Statistics as Topic, Medicine (miscellaneous), DISEASE, 09 Engineering, Hepatitis, Cohort Studies, Risk Factors, Prospective Studies, diation, Cancer, Nutrition and Dietetics, DECAFFEINATED COFFEE, Research Support, Non-U.S. Gov't, Incidence, Liver Neoplasms, WOMEN, 11 Medical And Health Sciences, Middle Aged, Europe, Näringslära, Liver, Liver Neoplasm, Female, Case-Control Studie, Life Sciences & Biomedicine, CHRONIC HEPATITIS-C, Human, Adult, Carcinoma, Hepatocellular, CARCINOMA, Hepatiti, coffee, GAMMA-GLUTAMYL-TRANSFERASE, mediation, European Prospective Investigation into Cancer and Nutrition, liver cancer, biomarkers, Journal Article, Humans, METAANALYSIS, Aged, EPIC PROJECT, Cancer och onkologi, Science & Technology, Nutrition & Dietetics, Risk Factor, Mediation, CONSUMPTION, Biomarker, digestive system diseases, Diet, Prospective Studie, Cardiovascular and Metabolic Diseases, Case-Control Studies, Cancer and Oncology, REACTIVE PROTEIN, Cohort Studie
Abstract

BACKGROUND: Higher coffee intake has been purportedly related to a lower risk of liver cancer. However, it remains unclear whether this association may be accounted for by specific biological mechanisms.OBJECTIVE: We aimed to evaluate the potential mediating roles of inflammatory, metabolic, liver injury, and iron metabolism biomarkers on the association between coffee intake and the primary form of liver cancer-hepatocellular carcinoma (HCC).DESIGN: We conducted a prospective nested case-control study within the European Prospective Investigation into Cancer and Nutrition among 125 incident HCC cases matched to 250 controls using an incidence-density sampling procedure. The association of coffee intake with HCC risk was evaluated by using multivariable-adjusted conditional logistic regression that accounted for smoking, alcohol consumption, hepatitis infection, and other established liver cancer risk factors. The mediating effects of 21 biomarkers were evaluated on the basis of percentage changes and associated 95% CIs in the estimated regression coefficients of models with and without adjustment for biomarkers individually and in combination.RESULTS: The multivariable-adjusted RR of having ≥4 cups (600 mL) coffee/d compared with CONCLUSION: These data suggest that the inverse association of coffee intake with HCC risk was partly accounted for by biomarkers of inflammation and hepatocellular injury.

Published
2015

32. Carotenoids, retinol, tocopherols, and prostate cancer risk: pooled analysis of 15 studies

Author

Key, Timothy J, Appleby, Paul N, Travis, Ruth C, Albanes, Demetrius, Alberg, Anthony J, Barricarte, Aurelio, Black, Amanda, Boeing, Heiner, Bueno-de-Mesquita, H Bas, Chan, June M, Chen, Chu, Cook, Michael B, Donovan, Jenny L, Galan, Pilar, Gilbert, Rebecca, Giles, Graham G, Giovannucci, Edward, Goodman, Gary E, Goodman, Phyllis J, Gunter, Marc J, Hamdy, Freddie C, Heliövaara, Markku, Helzlsouer, Kathy J, Henderson, Brian E, Hercberg, Serge, Hoffman-Bolton, Judy, Hoover, Robert N, Johansson, Mattias, Khaw, Kay-Tee, King, Irena B, Knekt, Paul, Kolonel, Laurence N, Le Marchand, Loic, Männistö, Satu, Martin, Richard M, Meyer, Haakon E, Mondul, Alison M, Moy, Kristin A, Neal, David E, Neuhouser, Marian L, Palli, Domenico, Platz, Elizabeth A, Pouchieu, Camille, Rissanen, Harri, Schenk, Jeannette M, Severi, Gianluca, Stampfer, Meir J, Tjønneland, Anne, Touvier, Mathilde, Trichopoulou, Antonia, Weinstein, Stephanie J, Ziegler, Regina G, Zhou, Cindy Ke, Allen, Naomi E, and Endogenous Hormones Nutritional Biomarkers Prostate Cancer Collaborative Group

Subjects
Adult, Male, Urologic Diseases, Aging, alpha-Tocopherol, vitamin E, Medical and Health Sciences, vitamin A, Cohort Studies, Lycopene, Engineering, Meta-Analysis as Topic, nested case-control study, Risk Factors, Clinical Research, Humans, Prospective Studies, Neoplasm Staging, Cancer, Nutrition, Endogenous Hormones Nutritional Biomarkers Prostate Cancer Collaborative Group, Nutrition & Dietetics, Prostate Cancer, Prevention, Prostate, carotenoids, Prostatic Neoplasms, biomarkers, Middle Aged, Observational Studies as Topic, Cross-Sectional Studies, Case-Control Studies, Neoplasm Grading, pooled analysis, tocopherols, retinol
Abstract

BackgroundIndividual studies have suggested that circulating carotenoids, retinol, or tocopherols may be associated with prostate cancer risk, but the studies have not been large enough to provide precise estimates of associations, particularly by stage and grade of disease.ObjectiveThe objective of this study was to conduct a pooled analysis of the associations of the concentrations of 7 carotenoids, retinol, α-tocopherol, and γ-tocopherol with risk of prostate cancer and to describe whether any associations differ by stage or grade of the disease or other factors.DesignPrincipal investigators of prospective studies provided individual participant data for prostate cancer cases and controls. Risk by study-specific fifths of each biomarker was estimated by using multivariable-adjusted conditional logistic regression in matched case-control sets.ResultsData were available for up to 11,239 cases (including 1654 advanced stage and 1741 aggressive) and 18,541 controls from 15 studies. Lycopene was not associated with overall risk of prostate cancer, but there was statistically significant heterogeneity by stage of disease, and the OR for aggressive disease for the highest compared with the lowest fifth of lycopene was 0.65 (95% CI: 0.46, 0.91; P-trend = 0.032). No other carotenoid was significantly associated with overall risk of prostate cancer or with risk of advanced-stage or aggressive disease. For retinol, the OR for the highest compared with the lowest fifth was 1.13 (95% CI: 1.04, 1.22; P-trend = 0.015). For α-tocopherol, the OR for the highest compared with the lowest fifth was 0.86 (95% CI: 0.78, 0.94; P-trend < 0.001), with significant heterogeneity by stage of disease; the OR for aggressive prostate cancer was 0.74 (95% CI: 0.59, 0.92; P-trend = 0.001). γ-Tocopherol was not associated with risk.ConclusionsOverall prostate cancer risk was positively associated with retinol and inversely associated with α-tocopherol, and risk of aggressive prostate cancer was inversely associated with lycopene and α-tocopherol. Whether these associations reflect causal relations is unclear.

Published
2015

33. Analysis of heritability and shared heritability based on Genome-Wide Association Studies for 13 Cancer Types

Author

Sampson, Joshua N., Wheeler, William A., Yeager, Meredith, Panagiotou, Orestis, Wang, Zhaoming, Berndt, Sonja I., Lan, Qing, Abnet, Christian C., Amundadottir, Laufey T., Figueroa, Jonine D., Landi, Maria Teresa, Mirabello, Lisa, Savage, Sharon A., Taylor, Philip R., Vivo, Immaculata De, McGlynn, Katherine A., Purdue, Mark P., Rajaraman, Preetha, Adami, Hans-Olov, Ahlbom, Anders, Albanes, Demetrius, Amary, Maria Fernanda, An, She-Juan, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L., Angelucci, Emanuele, Ansell, Stephen M., Arici, Cecilia, Armstrong, Bruce K., Arslan, Alan A., Austin, Melissa A., Baris, Dalsu, Barkauskas, Donald A., Bassig, Bryan A., Becker, Nikolaus, Benavente, Yolanda, Benhamou, Simone, Berg, Christine, Van Den Berg, David, Bernstein, Leslie, Bertrand, Kimberly A., Birmann, Brenda M., Black, Amanda, Boeing, Heiner, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Bracci, Paige M., Brinton, Louise, Brooks-Wilson, Angela R., Bueno-de-Mesquita, H. Bas, Burdett, Laurie, Buring, Julie, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chan, John K. C., Chang, Ellen T., Chang, Gee-Chen, Chang, I-Shou, Chang, Jiang, Chang-Claude, Jenny, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chu, Chen, Chung-Hsing, Chen, Constance, Chen, Hongyan, Chen, Kexin, Chen, Kuan-Yu, Chen, Kun-Chieh, Chen, Ying, Chen, Ying-Hsiang, Chen, Yi-Song, Chen, Yuh-Min, Chien, Li-Hsin, Chirlaque, María-Dolores, Choi, Jin Eun, Choi, Yi Young, Chow, Wong-Ho, Chung, Charles C., Clavel, Jacqueline, Clavel-Chapelon, Françoise, Cocco, Pierluigi, Colt, Joanne S., Comperat, Eva, Conde, Lucia, Connors, Joseph M., Conti, David, Cortessis, Victoria K., Cotterchio, Michelle, Cozen, Wendy, Crouch, Simon, Crous-Bou, Marta, Cussenot, Olivier, Davis, Faith G., Ding, Ti, Diver, W. Ryan, Dorronsoro, Miren, Dossus, Laure, Duell, Eric J., Ennas, Maria Grazia, Erickson, Ralph L., Feychting, Maria, Flanagan, Adrienne M., Foretova, Lenka, Fraumeni, Joseph F., Freedman, Neal D., Beane Freeman, Laura E., Fuchs, Charles, Gago-Dominguez, Manuela, Gallinger, Steven, Gao, Yu-Tang, Gapstur, Susan M., Garcia-Closas, Montserrat, García-Closas, Reina, Gascoyne, Randy D., Gastier-Foster, Julie, Gaudet, Mia M., Gaziano, J. Michael, Giffen, Carol, Giles, Graham G., Giovannucci, Edward, Glimelius, Bengt, Goggins, Michael, Gokgoz, Nalan, Goldstein, Alisa M., Gorlick, Richard, Gross, Myron, Grubb, Robert, Gu, Jian, Guan, Peng, Gunter, Marc, Guo, Huan, Habermann, Thomas M., Haiman, Christopher A., Halai, Dina, Hallmans, Goran, Hassan, Manal, Hattinger, Claudia, He, Qincheng, He, Xingzhou, Helzlsouer, Kathy, Henderson, Brian, Henriksson, Roger, Hjalgrim, Henrik, Hoffman-Bolton, Judith, Hohensee, Chancellor, Holford, Theodore R., Holly, Elizabeth A., Hong, Yun-Chul, Hoover, Robert N., Horn-Ross, Pamela L., Hosain, G. M. Monawar, Hosgood, H. Dean, Hsiao, Chin-Fu, Hu, Nan, Hu, Wei, Hu, Zhibin, Huang, Ming-Shyan, Huerta, Jose-Maria, Hung, Jen-Yu, Hutchinson, Amy, Inskip, Peter D., Jackson, Rebecca D., Jacobs, Eric J., Jenab, Mazda, Jeon, Hyo-Sung, Ji, Bu-Tian, Jin, Guangfu, Jin, Li, Johansen, Christoffer, Johnson, Alison, Jung, Yoo Jin, Kaaks, Rudolph, Kamineni, Aruna, Kane, Eleanor, Kang, Chang Hyun, Karagas, Margaret R., Kelly, Rachel S., Khaw, Kay-Tee, Kim, Christopher, Kim, Hee Nam, Kim, Jin Hee, Kim, Jun Suk, Kim, Yeul Hong, Kim, Young Tae, Kim, Young-Chul, Kitahara, Cari M., Klein, Alison P., Klein, Robert J., Kogevinas, Manolis, Kohno, Takashi, Kolonel, Laurence N., Kooperberg, Charles, Kricker, Anne, Krogh, Vittorio, Kunitoh, Hideo, Kurtz, Robert C., Kweon, Sun-Seog, LaCroix, Andrea, Lawrence, Charles, Lecanda, Fernando, Lee, Victor Ho Fun, Li, Donghui, Li, Haixin, Li, Jihua, Li, Yao-Jen, Li, Yuqing, Liao, Linda M., Liebow, Mark, Lightfoot, Tracy, Lim, Wei-Yen, Lin, Chien-Chung, Lin, Dongxin, Lindstrom, Sara, Linet, Martha S., Link, Brian K., Liu, Chenwei, Liu, Jianjun, Liu, Li, Ljungberg, Börje, Lloreta, Josep, Lollo, Simonetta Di, Lu, Daru, Lund, Eiluv, Malats, Nuria, Mannisto, Satu, Marchand, Loic Le, Marina, Neyssa, Masala, Giovanna, Mastrangelo, Giuseppe, Matsuo, Keitaro, Maynadie, Marc, McKay, James, McKean-Cowdin, Roberta, Melbye, Mads, Melin, Beatrice S., Michaud, Dominique S., Mitsudomi, Tetsuya, Monnereau, Alain, Montalvan, Rebecca, Moore, Lee E., Mortensen, Lotte Maxild, Nieters, Alexandra, North, Kari E., Novak, Anne J., Oberg, Ann L., Offit, Kenneth, Oh, In-Jae, Olson, Sara H., Palli, Domenico, Pao, William, Park, In Kyu, Park, Jae Yong, Park, Kyong Hwa, Patiño-Garcia, Ana, Pavanello, Sofia, Peeters, Petra H. M., Perng, Reury-Perng, Peters, Ulrike, Petersen, Gloria M., Picci, Piero, Pike, Malcolm C., Porru, Stefano, Prescott, Jennifer, Prokunina-Olsson, Ludmila, Qian, Biyun, Qiao, You-Lin, Rais, Marco, Riboli, Elio, Riby, Jacques, Risch, Harvey A., Rizzato, Cosmeri, Rodabough, Rebecca, Roman, Eve, Roupret, Morgan, Ruder, Avima M., de Sanjose, Silvia, Scelo, Ghislaine, Schned, Alan, Schumacher, Fredrick, Schwartz, Kendra, Schwenn, Molly, Scotlandi, Katia, Seow, Adeline, Serra, Consol, Serra, Massimo, Sesso, Howard D., Setiawan, Veronica Wendy, Severi, Gianluca, Severson, Richard K., Shanafelt, Tait D., Shen, Hongbing, Shen, Wei, Shin, Min-Ho, Shiraishi, Kouya, Shu, Xiao-Ou, Siddiq, Afshan, Sierrasesúmaga, Luis, Sihoe, Alan Dart Loon, Skibola, Christine F., Smith, Alex, Smith, Martyn T., Southey, Melissa C., Spinelli, John J., Staines, Anthony, Stampfer, Meir, Stern, Marianna C., Stevens, Victoria L., Stolzenberg-Solomon, Rachael S., Su, Jian, Su, Wu-Chou, Sund, Malin, Sung, Jae Sook, Sung, Sook Whan, Tan, Wen, Tang, Wei, Tardón, Adonina, Thomas, David, Thompson, Carrie A., Tinker, Lesley F., Tirabosco, Roberto, Tjønneland, Anne, Travis, Ruth C., Trichopoulos, Dimitrios, Tsai, Fang-Yu, Tsai, Ying-Huang, Tucker, Margaret, Turner, Jenny, Vajdic, Claire M., Vermeulen, Roel C. H., Villano, Danylo J., Vineis, Paolo, Virtamo, Jarmo, Visvanathan, Kala, Wactawski-Wende, Jean, Wang, Chaoyu, Wang, Chih-Liang, Wang, Jiu-Cun, Wang, Junwen, Wei, Fusheng, Weiderpass, Elisabete, Weiner, George J., Weinstein, Stephanie, Wentzensen, Nicolas, White, Emily, Witzig, Thomas E., Wolpin, Brian M., Wong, Maria Pik, Wu, Chen, Wu, Guoping, Wu, Junjie, Wu, Tangchun, Wu, Wei, Wu, Xifeng, Wu, Yi-Long, Wunder, Jay S., Xiang, Yong-Bing, Xu, Jun, Xu, Ping, Yang, Pan-Chyr, Yang, Tsung-Ying, Ye, Yuanqing, Yin, Zhihua, Yokota, Jun, Yoon, Ho-Il, Yu, Chong-Jen, Yu, Herbert, Yu, Kai, Yuan, Jian-Min, Zelenetz, Andrew, Zeleniuch-Jacquotte, Anne, Zhang, Xu-Chao, Zhang, Yawei, Zhao, Xueying, Zhao, Zhenhong, Zheng, Hong, Zheng, Tongzhang, Zheng, Wei, Zhou, Baosen, Zhu, Meng, Zucca, Mariagrazia, Boca, Simina M., Cerhan, James R., Ferri, Giovanni M., Hartge, Patricia, Hsiung, Chao Agnes, Magnani, Corrado, Miligi, Lucia, Morton, Lindsay M., Smedby, Karin E., Teras, Lauren R., Vijai, Joseph, Wang, Sophia S., Brennan, Paul, Caporaso, Neil E., Hunter, David J., Kraft, Peter, Rothman, Nathaniel, Silverman, Debra T., Slager, Susan L., Chanock, Stephen J., and Chatterjee, Nilanjan

Subjects
Adult, Asian Continental Ancestry Group, Male, Lung Neoplasms, DATABASE, European Continental Ancestry Group, RELATIVES, Bone Neoplasms, Polymorphism, Single Nucleotide, Article, LUNG-CANCER, Testicular Neoplasms, Neoplasms, SWEDEN, LYMPHOMA, Humans, Genetic Predisposition to Disease, FAMILIAL RISK, Oncology & Carcinogenesis, Aged, Osteosarcoma, Science & Technology, MUTATIONS, Smoking, Middle Aged, Leukemia, Lymphocytic, Chronic, B-Cell, PANCREATIC-CANCER, Kidney Neoplasms, MULTIPLE SUSCEPTIBILITY LOCI, INDIVIDUALS, Oncology, Urinary Bladder Neoplasms, Tissue Array Analysis, Female, Lymphoma, Large B-Cell, Diffuse, Life Sciences & Biomedicine, 1112 Oncology And Carcinogenesis, Genome-Wide Association Study
Abstract

Background: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common SNPs for cancer at 13 anatomical sites. Methods: Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49,492 cancer cases and 34,131 controls. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers. Results: GWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl2, on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% CI = 14% - 37%) and 7% (4% - 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ=0.73, SE=0.28), Diffuse Large B-Cell Lymphoma (DLBCL) and pediatric osteosarcoma (ρ=0.53, SE=0.21), DLBCL and Chronic Lymphocytic Leukemia (CLL) (ρ=0.51, SE=0.18), and bladder and lung (ρ=0.35, SE=0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a non-smoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures. Conclusion: Our results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.

Published
2015

34. Common colorectal cancer risk alleles contribute to the multiple colorectal adenoma phenotype, but do not influence colonic polyposis in FAP

Author

Cheng, Timothy H. T, Gorman, Maggie, Martin, Lynn, Barclay, Ella, Casey, Graham, Newcomb, Polly A., Conti, David V., Schumacher, Fred, Gallinger, Steve, Lindor, Noralane M., Hopper, John, Jenkins, Mark, Hunter, David J., Kraft, Peter, Jacobs, Kevin B., Cox, David G., Yeager, Meredith, Hankinson, Susan E., Wacholder, Sholom, Wang, Zhaoming, Welch, Robert, Hutchinson, Amy, Wang, Junwen, Yu, Kai, Chatterjee, Nilanjan, Orr, Nick, Willett, Walter C., Colditz, Graham A., Ziegler, Regina G., Berg, Christine D., Buys, Saundra S., Mccarty, Catherine A., Feigelson, Heather Spencer, Calle, Eugenia E., Thun, Michael J., Hayes, Richard B., Tucker, Margaret, Gerhard, Daniela S., Fraumeni, Joseph F., Hoover, Robert N., Thomas, Gilles, Chanock, Stephen J., Ciampa, Julia, Gonzalez Bosquet, Jesus, Berndt, Sonja, Amundadottir, Laufey, Diver, W. Ryan, Albanes, Demetrius, Virtamo, Jarmo, Weinstein, Stephanie, Schumacher, Fredrick R., Cancel Tassin, Geraldine, Cussenot, Olivier, Valeri, Antoine, Andriole, Gerald L., Crawford, E. David, Haiman, Christopher A., Henderson, Brian, Kolonel, Laurence, Marchand, Loic Le, Siddiq, Afshan, Riboli, Elio, Key, Timothy J., Kaaks, Rudolf, Isaacs, William, Isaacs, Sarah, Wiley, Kathleen E., Gronberg, Henrik, Wiklund, Fredrik, Stattin, Pär, Xu, Jianfeng, Zheng, S. Lilly, Sun, Jielin, Vatten, Lars J., Hveem, Kristian, Kumle, Merethe, Purdue, Mark P., Johansson, Mattias, Zelenika, Diana, Toro, Jorge R., Scelo, Ghislaine, Moore, Lee E., Prokhortchouk, Egor, Wu, Xifeng, Kiemeney, Lambertus A., Gaborieau, Valerie, Chow, Wong Ho, Zaridze, David, Matveev, Vsevolod, Lubinski, Jan, Trubicka, Joanna, Szeszenia Dabrowska, Neonila, Lissowska, Jolanta, Rudnai, Péter, Fabianova, Eleonora, Bucur, Alexandru, Bencko, Vladimir, Foretova, Lenka, Janout, Vladimir, Boffetta, Paolo, Colt, Joanne S., Davis, Faith G., Schwartz, Kendra L., Banks, Rosamonde E., Selby, Peter J., Harnden, Patricia, Hsing, Ann W., Grubb, Robert L., Boeing, Heiner, Vineis, Paolo, Clavel Chapelon, Franc¸oise, Palli, Domenico, Tumino, Rosario, Krogh, Vittorio, Duell, Eric J., Quirós, José Ramón, Sanchez, Maria José, Navarro, Carmen, Ardanaz, Eva, Dorronsoro, Miren, Khaw, Kay Tee, Allen, Naomi E., Bueno de Mesquita, H. Bas, Peeters, Petra H. M., Trichopoulos, Dimitrios, Linseisen, Jakob, Ljungberg, Börje, Overvad, Kim, Tjønneland, Anne, Romieu, Isabelle, Mukeria, Anush, Shangina, Oxana, Stevens, Victoria L., Gapstur, Susan M., Pharoah, Paul D., Easton, Douglas F., Weinstein, Stephanie J., Njølstad, Inger, Tell, Grethe S., Stoltenberg, Camilla, Kumar, Rajiv, Koppova, Kvetoslava, Benhamou, Simone, Oosterwijk, Egbert, Vermeulen, Sita H., Aben, Katja K. H., Van Der Marel, Saskia L., Ye, Yuanqing, Wood, Christopher G., Pu, Xia, Mazur, Alexander M., Boulygina, Eugenia S., Chekanov, Nikolai N., Foglio, Mario, Lechner, Doris, Gut, Ivo, Heath, Simon, Blanche, Hélène, Skryabin, Konstantin G., Mckay, James D., Rothman, Nathaniel, Lathrop, Mark, Brennan, Paul, Saunders, Brian, Thomas, Huw, Clark, Sue, Tomlinson, Ian, PANICO, SALVATORE, Cheng, Timothy H. T, Gorman, Maggie, Martin, Lynn, Barclay, Ella, Casey, Graham, Newcomb, Polly A., Conti, David V., Schumacher, Fred, Gallinger, Steve, Lindor, Noralane M., Hopper, John, Jenkins, Mark, Hunter, David J., Kraft, Peter, Jacobs, Kevin B., Cox, David G., Yeager, Meredith, Hankinson, Susan E., Wacholder, Sholom, Wang, Zhaoming, Welch, Robert, Hutchinson, Amy, Wang, Junwen, Yu, Kai, Chatterjee, Nilanjan, Orr, Nick, Willett, Walter C., Colditz, Graham A., Ziegler, Regina G., Berg, Christine D., Buys, Saundra S., Mccarty, Catherine A., Feigelson, Heather Spencer, Calle, Eugenia E., Thun, Michael J., Hayes, Richard B., Tucker, Margaret, Gerhard, Daniela S., Fraumeni, Joseph F., Hoover, Robert N., Thomas, Gille, Chanock, Stephen J., Ciampa, Julia, Gonzalez Bosquet, Jesu, Berndt, Sonja, Amundadottir, Laufey, Diver, W. Ryan, Albanes, Demetriu, Virtamo, Jarmo, Weinstein, Stephanie, Schumacher, Fredrick R., Cancel Tassin, Geraldine, Cussenot, Olivier, Valeri, Antoine, Andriole, Gerald L., Crawford, E. David, Haiman, Christopher A., Henderson, Brian, Kolonel, Laurence, Marchand, Loic Le, Siddiq, Afshan, Riboli, Elio, Key, Timothy J., Kaaks, Rudolf, Isaacs, William, Isaacs, Sarah, Wiley, Kathleen E., Gronberg, Henrik, Wiklund, Fredrik, Stattin, Pär, Xu, Jianfeng, Zheng, S. Lilly, Sun, Jielin, Vatten, Lars J., Hveem, Kristian, Kumle, Merethe, Purdue, Mark P., Johansson, Mattia, Zelenika, Diana, Toro, Jorge R., Scelo, Ghislaine, Moore, Lee E., Prokhortchouk, Egor, Wu, Xifeng, Kiemeney, Lambertus A., Gaborieau, Valerie, Chow, Wong Ho, Zaridze, David, Matveev, Vsevolod, Lubinski, Jan, Trubicka, Joanna, Szeszenia Dabrowska, Neonila, Lissowska, Jolanta, Rudnai, Péter, Fabianova, Eleonora, Bucur, Alexandru, Bencko, Vladimir, Foretova, Lenka, Janout, Vladimir, Boffetta, Paolo, Colt, Joanne S., Davis, Faith G., Schwartz, Kendra L., Banks, Rosamonde E., Selby, Peter J., Harnden, Patricia, Hsing, Ann W., Grubb, Robert L., Boeing, Heiner, Vineis, Paolo, Clavel Chapelon, Franc¸oise, Palli, Domenico, Tumino, Rosario, Krogh, Vittorio, Panico, Salvatore, Duell, Eric J., Quirós, José Ramón, Sanchez, Maria José, Navarro, Carmen, Ardanaz, Eva, Dorronsoro, Miren, Khaw, Kay Tee, Allen, Naomi E., Bueno de Mesquita, H. Ba, Peeters, Petra H. M., Trichopoulos, Dimitrio, Linseisen, Jakob, Ljungberg, Börje, Overvad, Kim, Tjønneland, Anne, Romieu, Isabelle, Mukeria, Anush, Shangina, Oxana, Stevens, Victoria L., Gapstur, Susan M., Pharoah, Paul D., Easton, Douglas F., Weinstein, Stephanie J., Njølstad, Inger, Tell, Grethe S., Stoltenberg, Camilla, Kumar, Rajiv, Koppova, Kvetoslava, Benhamou, Simone, Oosterwijk, Egbert, Vermeulen, Sita H., Aben, Katja K. H., Van Der Marel, Saskia L., Ye, Yuanqing, Wood, Christopher G., Pu, Xia, Mazur, Alexander M., Boulygina, Eugenia S., Chekanov, Nikolai N., Foglio, Mario, Lechner, Dori, Gut, Ivo, Heath, Simon, Blanche, Hélène, Skryabin, Konstantin G., Mckay, James D., Rothman, Nathaniel, Lathrop, Mark, Brennan, Paul, Saunders, Brian, Thomas, Huw, Clark, Sue, and Tomlinson, Ian

Subjects
Adenoma, Allele, Male, Genes, Modifier, Adenomatous Polyposis Coli Protein, Colorectal Neoplasm, Middle Aged, Polymorphism, Single Nucleotide, Phenotype, Adenomatous Polyposis Coli, Genetics, Female, Genetic Predisposition to Disease, DNA Glycosylase, Germ-Line Mutation, Genetics (clinical), Aged, Human
Abstract

The presence of multiple (5-100) colorectal adenomas suggests an inherited predisposition, but the genetic aetiology of this phenotype is undetermined if patients test negative for Mendelian polyposis syndromes such as familial adenomatous polyposis (FAP) and MUTYH-associated polyposis (MAP). We investigated whether 18 common colorectal cancer (CRC) predisposition single-nucleotide polymorphisms (SNPs) could help to explain some cases with multiple adenomas who phenocopied FAP or MAP, but had no pathogenic APC or MUTYH variant. No multiple adenoma case had an outlying number of CRC SNP risk alleles, but multiple adenoma patients did have a significantly higher number of risk alleles than population controls (P=5.7 × 10(-7)). The association was stronger in those with ≥10 adenomas. The CRC SNPs accounted for 4.3% of the variation in multiple adenoma risk, with three SNPs (rs6983267, rs10795668, rs3802842) explaining 3.0% of the variation. In FAP patients, the CRC risk score did not differ significantly from the controls, as we expected given the overwhelming effect of pathogenic germline APC variants on the phenotype of these cases. More unexpectedly, we found no evidence that the CRC SNPs act as modifier genes for the number of colorectal adenomas in FAP patients. In conclusion, common colorectal tumour risk alleles contribute to the development of multiple adenomas in patients without pathogenic germline APC or MUTYH variants. This phenotype may have 'polygenic' or monogenic origins. The risk of CRC in relatives of multiple adenoma cases is probably much lower for cases with polygenic disease, and this should be taken into account when counselling such patients.

Published
2015

35. Diabetes mellitus and risk of prostate cancer in the European Prospective Investigation into Cancer and Nutrition

Author

Tsilidis, Konstantinos K, Allen, Naomi E, Appleby, Paul N, Rohrmann, Sabine, Nöthlings, Ute, Arriola, Larraitz, Gunter, Marc J, Chajes, Veronique, Rinaldi, Sabina, Romieu, Isabelle, Murphy, Neil, Riboli, Elio, Tzoulaki, Ioanna, Kaaks, Rudolf, Lukanova, Annekatrin, Boeing, Heiner, Pischon, Tobias, Dahm, Christina C, Overvad, Kim, Quirós, J Ramón, Fonseca-Nunes, Ana, Molina-Montes, Esther, Gavrila Chervase, Diana, Ardanaz, Eva, Khaw, Kay T, Wareham, Nick J, Roswall, Nina, Tjønneland, Anne, Lagiou, Pagona, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Palli, Domenico, Pala, Valeria, Tumino, Rosario, Vineis, Paolo, Bueno-de-Mesquita, H Bas, Malm, Johan, Orho-Melander, Marju, Johansson, Mattias, Stattin, Pär, Travis, Ruth C, Key, Timothy J, University of Zurich, and Tsilidis, Konstantinos K

Subjects
Adult, Male, Cancer Research, Nutritional Status, 610 Medicine & health, Body Mass Index, Risk Factors, cohort study, Humans, 1306 Cancer Research, Testosterone, Prospective Studies, Aged, Neoplasm Staging, Cancer och onkologi, insulin-like growth factor proteins, Incidence, Prostatic Neoplasms, androgens, 10060 Epidemiology, Biostatistics and Prevention Institute (EBPI), Middle Aged, Prognosis, prostate cancer, Europe, Insulin-Like Growth Factor Binding Proteins, Oncology, Diabetes Mellitus, Type 2, Cancer and Oncology, Androgens, 2730 Oncology, type 2 diabetes, Neoplasm Grading, Follow-Up Studies
Abstract

The current epidemiologic evidence suggests that men with type 2 diabetes mellitus may be at lower risk of developing prostate cancer, but little is known about its association with stage and grade of the disease. The association between self-reported diabetes mellitus at recruitment and risk of prostate cancer was examined in the European Prospective Investigation into Cancer and Nutrition (EPIC). Among 139,131 eligible men, 4,531 were diagnosed with prostate cancer over an average follow-up of 12 years. Multivariable hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox proportional hazards models stratified by EPIC-participating center and age at recruitment, and adjusted for education, smoking status, body mass index, waist circumference, and physical activity. In a subset of men without prostate cancer, the cross-sectional association between circulating concentrations of androgens and insulin-like growth factor proteins with diabetes status was also investigated using linear regression models. Compared to men with no diabetes, men with diabetes had a 26% lower risk of prostate cancer (HR, 0.74; 95% CI, 0.63 - 0.86). There was no evidence that the association differed by stage (P-heterogeneity, 0.19) or grade (P-heterogeneity, 0.48) of the disease, although the numbers were small in some disease subgroups. In a subset of 626 men with hormone measurements, circulating concentrations of androstenedione, total testosterone and insulin-like growth factor binding protein-three were lower in men with diabetes compared to men without diabetes. This large European study has confirmed an inverse association between self-reported diabetes mellitus and subsequent risk of prostate cancer. © 2014 Wiley Periodicals, Inc.

Published
2015

36. Physical activity and all-cause mortality across levels of overall and abdominal adiposity in European men and women : the European Prospective Investigation into Cancer and Nutrition Study (EPIC)

Author

Ekelund, Ulf, Ward, Heather A, Norat, Teresa, Luan, Jian'An, May, Anne M, Weiderpass, Elisabete, Sharp, Stephen J, Overvad, Kim, Østergaard, Jane Nautrup, Tjønneland, Anne, Johnsen, Nina Føns, Mesrine, Sylvie, Fournier, Agnès, Fagherazzi, Guy, Trichopoulou, Antonia, Lagiou, Pagona, Trichopoulos, Dimitrios, Li, Kuanrong, Kaaks, Rudolf, Ferrari, Pietro, Licaj, Idlir, Jenab, Mazda, Bergmann, Manuela, Boeing, Heiner, Palli, Domenico, Sieri, Sabina, Tumino, Rosario, Vineis, Paolo, Peeters, Petra H, Monnikhof, Evelyn, Bueno de Mesquita, H. Bas, Quirós, J. Ramón, Agudo, Antonio, Sánchez, María José, Huerta, José María, Ardanaz, Eva, Arriola, Larraitz, Hedblad, Bo, Wirfält, Elisabet, Sund, Malin, Johansson, Mattias, Key, Timothy J, Travis, Ruth C, Khaw, Kay Tee, Brage, Søren, Wareham, Nicholas J, Riboli, Elio, PANICO, SALVATORE, Imperial College Trust, Luan, Jian'an [0000-0003-3137-6337], Sharp, Stephen [0000-0003-2375-1440], Khaw, Kay-Tee [0000-0002-8802-2903], Brage, Soren [0000-0002-1265-7355], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Ekelund, Ulf, Ward, Heather A, Norat, Teresa, Luan, Jian'An, May, Anne M, Weiderpass, Elisabete, Sharp, Stephen J, Overvad, Kim, Østergaard, Jane Nautrup, Tjønneland, Anne, Johnsen, Nina Føn, Mesrine, Sylvie, Fournier, Agnè, Fagherazzi, Guy, Trichopoulou, Antonia, Lagiou, Pagona, Trichopoulos, Dimitrio, Li, Kuanrong, Kaaks, Rudolf, Ferrari, Pietro, Licaj, Idlir, Jenab, Mazda, Bergmann, Manuela, Boeing, Heiner, Palli, Domenico, Sieri, Sabina, Panico, Salvatore, Tumino, Rosario, Vineis, Paolo, Peeters, Petra H, Monnikhof, Evelyn, Bueno de Mesquita, H. Ba, Quirós, J. Ramón, Agudo, Antonio, Sánchez, María José, Huerta, José María, Ardanaz, Eva, Arriola, Larraitz, Hedblad, Bo, Wirfält, Elisabet, Sund, Malin, Johansson, Mattia, Key, Timothy J, Travis, Ruth C, Khaw, Kay Tee, Brage, Søren, Wareham, Nicholas J, and Riboli, Elio

Subjects
Male, obesity, physical activity, 09 Engineering, Body Mass Index, Cohort Studies, Hospitals, University, Risk Factors, PARTICIPANTS, LIFE EXPECTANCY, Prospective Studies, Adiposity, RISK, Sex Characteristics, Nutrition and Dietetics, exercise, Public Health, Global Health, Social Medicine and Epidemiology, 11 Medical And Health Sciences, Middle Aged, Europe, population attributable action, Näringslära, CARDIOVASCULAR-DISEASE, Obesity, Abdominal, Female, epidemiology, HEALTH, Waist Circumference, COLLEGE, Life Sciences & Biomedicine, Human, Adult, COUNTRIES, Outpatient Clinics, Hospital, Abdominal Fat, QUESTIONNAIRE, Motor Activity, Follow-Up Studie, cohort study, Humans, VALIDITY, Proportional Hazards Models, Science & Technology, Nutrition & Dietetics, Risk Factor, Sex Characteristic, mortality, Prospective Studie, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Proportional Hazards Model, Self Report, Cohort Studie, population attributable fraction, Follow-Up Studies
Abstract

BACKGROUND: The higher risk of death resulting from excess adiposity may be attenuated by physical activity (PA). However, the theoretical number of deaths reduced by eliminating physical inactivity compared with overall and abdominal obesity remains unclear.OBJECTIVE: We examined whether overall and abdominal adiposity modified the association between PA and all-cause mortality and estimated the population attributable fraction (PAF) and the years of life gained for these exposures.DESIGN: This was a cohort study in 334,161 European men and women. The mean follow-up time was 12.4 y, corresponding to 4,154,915 person-years. Height, weight, and waist circumference (WC) were measured in the clinic. PA was assessed with a validated self-report instrument. The combined associations between PA, BMI, and WC with mortality were examined with Cox proportional hazards models, stratified by center and age group, and adjusted for sex, education, smoking, and alcohol intake. Center-specific PAF associated with inactivity, body mass index (BMI; in kg/m(2)) (>30), and WC (≥102 cm for men, ≥88 cm for women) were calculated and combined in random-effects meta-analysis. Life-tables analyses were used to estimate gains in life expectancy for the exposures.RESULTS: Significant interactions (PA × BMI and PA × WC) were observed, so HRs were estimated within BMI and WC strata. The hazards of all-cause mortality were reduced by 16-30% in moderately inactive individuals compared with those categorized as inactive in different strata of BMI and WC. Avoiding all inactivity would theoretically reduce all-cause mortality by 7.35% (95% CI: 5.88%, 8.83%). Corresponding estimates for avoiding obesity (BMI >30) were 3.66% (95% CI: 2.30%, 5.01%). The estimates for avoiding high WC were similar to those for physical inactivity.CONCLUSION: The greatest reductions in mortality risk were observed between the 2 lowest activity groups across levels of general and abdominal adiposity, which suggests that efforts to encourage even small increases in activity in inactive individuals may be beneficial to public health.

Published
2015

37. ABO blood group alleles and prostate cancer risk : Results from the breast and prostate cancer cohort consortium (BPC3)

Author

Markt, Sarah C, Shui, Irene M, Unger, Robert H, Urun, Yuksel, Berg, Christine D, Black, Amanda, Brennan, Paul, Bueno-de-Mesquita, H Bas, Gapstur, Susan M, Giovannucci, Edward, Haiman, Christopher, Henderson, Brian, Hoover, Robert N, Hunter, David J, Key, Timothy J, Khaw, Kay-Tee, Canzian, Federico, Larranga, Nerea, Le Marchand, Loic, Ma, Jing, Naccarati, Alessio, Siddiq, Afshan, Stampfer, Meir J, Stattin, Pär, Stevens, Victoria L, Stram, Daniel O, Tjønneland, Anne, Travis, Ruth C, Trichopoulos, Dimitrios, Ziegler, Regina G, Lindstrom, Sara, Kraft, Peter, Mucci, Lorelei A, Choueiri, Toni K, and Wilson, Kathryn M

Subjects
Male, ABO, Cancer och onkologi, blood type, genetic epidemiology, Genotype, Prostatic Neoplasms, Adenocarcinoma, prostate cancer, Polymorphism, Single Nucleotide, Article, ABO Blood-Group System, Case-Control Studies, Cancer and Oncology, Urologi och njurmedicin, Humans, Urology and Nephrology, Genetic Predisposition to Disease, Neoplasm Grading, Alleles
Abstract

BACKGROUND: ABO blood group has been associated with risk of cancers of the pancreas, stomach, ovary, kidney, and skin, but has not been evaluated in relation to risk of aggressive prostate cancer. METHODS: We used three single nucleotide polymorphisms (SNPs) (rs8176746, rs505922, and rs8176704) to determine ABO genotype in 2,774 aggressive prostate cancer cases and 4,443 controls from the Breast and Prostate Cancer Cohort Consortium (BPC3). Unconditional logistic regression was used to calculate age and study-adjusted odds ratios and 95% confidence intervals for the association between blood type, genotype, and risk of aggressive prostate cancer (Gleason score ≥8 or locally advanced/metastatic disease (stage T3/T4/N1/M1). RESULTS: We found no association between ABO blood type and risk of aggressive prostate cancer (Type A: OR = 0.97, 95%CI = 0.87-1.08; Type B: OR = 0.92, 95%CI =n0.77-1.09; Type AB: OR = 1.25, 95%CI = 0.98-1.59, compared to Type O, respectively). Similarly, there was no association between "dose" of A or B alleles and aggressive prostate cancer risk. CONCLUSIONS: ABO blood type was not associated with risk of aggressive prostate cancer.

Published
2015

38. Pre-diagnostic anthropometry and survival after colorectal cancer diagnosis in Western European populations

Author

Fedirko, Veronika, Romieu, Isabelle, Aleksandrova, Krasimira, Pischon, Tobias, Trichopoulos, Dimitrios, Peeters, Petra H, Romaguera-Bosch, Dora, Bueno-de-Mesquita, H Bas, Dahm, Christina C, Overvad, Kim, Chirlaque, Maria-Dolores, Johansen, Christoffer, Bidstrup, Pernille Envold Hansen, Dalton, Susanne Oksbjerg, Gunter, Marc J, Wark, Petra A, Norat, Teresa, Halkjaer, Jytte, Tjønneland, Anne, Dik, Vincent K, Siersema, Peter D, Boutron-Ruault, Marie-Christine, Dossus, Laure, Bastide, Nadia, Kühn, Tilman, Kaaks, Rudolf, Boeing, Heiner, Trichopoulou, Antonia, Klinaki, Eleni, Katsoulis, Michalis, Pala, Valeria, Panico, Salvatore, Tumino, Rosario, Palli, Domenico, Vineis, Paolo, Weiderpass, Elisabete, Skeie, Guri, González, Carlos A, Sánchez, María-José, Barricarte, Aurelio, Amiano, Pilar, Quiros, J Ramon, Manjer, Jonas, Jirström, Karin, Ljuslinder, Ingrid, Palmqvist, Richard, Khaw, Kay-Tee, Wareham, Nick, Bradbury, Kathryn E, Stepien, Magdalena, Duarte-Salles, Talita, Riboli, Elio, Jenab, Mazda, Fedirko, V, Romieu, I, Aleksandrova, K, Pischon, T, Trichopoulos, D, Peeters, Ph, Romaguera Bosch, D, Bueno de Mesquita, Hb, Dahm, Cc, Overvad, K, Chirlaque, Md, Johansen, C, Bidstrup, Pe, Dalton, So, Gunter, Mj, Wark, Pa, Norat, T, Halkjaer, J, Tj?nneland, A, Dik, Vk, Siersema, Pd, Boutron Ruault, Mc, Dossus, L, Bastide, N, K?hn, T, Kaaks, R, Boeing, H, Trichopoulou, A, Klinaki, E, Katsoulis, M, Pala, V, Panico, Salvatore, Tumino, R, Palli, D, Vineis, P, Weiderpass, E, Skeie, G, Gonz?lez, Ca, S?nchez, Mj, Barricarte, A, Amiano, P, Quiros, Jr, Manjer, J, Jirstr?m, K, Ljuslinder, I, Palmqvist, R, Khaw, Kt, Wareham, N, Bradbury, Ke, Stepien, M, Duarte Salles, T, Riboli, E, and Jenab, M.

Subjects
Male, Anthropometry, Waist-Hip Ratio, Incidence, Adenocarcinoma, Middle Aged, Body Mass Index, Europe, Multivariate Analysis, Humans, Female, Obesity, Prospective Studies, Sex Distribution, Waist Circumference, Colorectal Neoplasms, Aged, Proportional Hazards Models
Abstract

General and abdominal adiposity are associated with a high risk of developing colorectal cancer (CRC), but the role of these exposures on cancer survival has been less studied. The association between pre-diagnostic anthropometric characteristics and CRC-specific and all-cause death was examined among 3,924 men and women diagnosed with CRC between 1992 and 2009 in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Multivariable Cox proportional hazards models were used to calculate hazard ratios (HRs) and corresponding 95% confidence intervals (CIs). Over a mean follow-up period of 49 months, 1,309 deaths occurred of which 1,043 (79.7%) were due to CRC. In multivariable analysis, pre-diagnostic BMI ≥30 kg/m(2) was associated with a high risk for CRC-specific (HR = 1.26, 95% CI = 1.04-1.52) and all-cause (HR = 1.32, 95% CI = 1.12-1.56) death relative to BMI

Published
2014

39. Arterial blood pressure and long-term exposure to traffic-related air pollution: an analysis in the European Study of Cohorts for Air Pollution Effects (ESCAPE)

Author

Fuks, Kateryna B., Weinmayr, Gudrun, Foraster, Maria, Dratva, Julia, Hampel, Regina, Houthuijs, Danny, Oftedal, Bente, Oudin, Anna, Panasevich, Sviatlana, Penell, Johanna, Sommar, Johan N., Sorensen, Mette, Tiittanen, Pekka, Wolf, Kathrin, Xun, Wei W., Aguilera, Inmaculada, Basagana, Xavier, Beelen, Rob, Bots, Michiel L., Brunekreef, Bert, Bueno-de-Mesquita, H. Bas, Caracciolo, Barbara, Cirach, Marta, de Faire, Ulf, de Nazelle, Audrey, Eeftens, Marloes, Elosua, Roberto, Erbel, Raimund, Forsberg, Bertil, Fratiglioni, Laura, Gaspoz, Jean-Michel, Hilding, Agneta, Jula, Antti, Korek, Michal, Kraemer, Ursula, Kuenzli, Nino, Lanki, Timo, Leander, Karin, Magnusson, Patrik K. E., Marrugat, Jaume, Nieuwenhuijsen, Mark J., Oestenson, Claes-Goeran, Pedersen, Nancy L., Pershagen, Goeran, Phuleria, Harish C., Probst-Hensch, Nicole M., Raaschou-Nielsen, Ole, Schaffner, Emmanuel, Schikowski, Tamara, Schindler, Christian, Schwarze, Per E., Sogaard, Anne J., Sugiri, Dorothea, Swart, Wim J. R., Tsai, Ming-Yi, Turunen, Anu W., Vineis, Paolo, Peters, Annette, Hoffmann, Barbara, Dep IRAS, LS IRAS EEPI ME (Milieu epidemiologie), Risk Assessment of Toxic and Immunomodulatory Agents, IRAS RATIA2, Wolf, Kathrin, Gaspoz, Jean-Michel, Hoffmann, Barbara, Dep IRAS, LS IRAS EEPI ME (Milieu epidemiologie), Risk Assessment of Toxic and Immunomodulatory Agents, and IRAS RATIA2

Subjects
Male, Health, Toxicology and Mutagenesis, air pollution, 05 Environmental Sciences, Medizin, Air pollution, VDP::Medisinske fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803, Review, 030204 cardiovascular system & hematology, 010501 environmental sciences, medicine.disease_cause, Bioinformatics, NO2, Toxicology, 01 natural sciences, 0302 clinical medicine, Risk Factors, USE REGRESSION-MODELS, Medicine, Nitrogen oxides, land use regression (LUR) model, Public, Environmental & Occupational Health, Vehicle Emissions, RISK, education.field_of_study, Air Pollutants, 11 Medical And Health Sciences, ASSOCIATION, 3. Good health, Europe, Noise, Transportation, Female, Nitrogen Oxides, VDP::Midical sciences: 700::Health sciences: 800::Epidemiology, medical and dental statistics: 803, Life Sciences & Biomedicine, PROJECT, Population, Diastole, Environmental Sciences & Ecology, NOx, Land use regression, ESCAPE, 03 medical and health sciences, Arbetsmedicin och miljömedicin, Environmental health, Air Pollution, Humans, PARTICLES, Arterial Pressure, CORONARY-HEART-DISEASE, education, Antihypertensive Agents, METAANALYSIS, 0105 earth and related environmental sciences, ddc:613, Science & Technology, HYPERTENSION, business.industry, Public Health, Environmental and Occupational Health, European population, Odds ratio, Occupational Health and Environmental Health, Environmental Exposure, Blood pressure, Cross-Sectional Studies, ATHEROSCLEROSIS, 13. Climate action, Particulate Matter, business, PRIMARY PREVENTION, Environmental Sciences
Abstract

Background: Long-term exposure to air pollution has been hypothesized to elevate arterial blood pressure (BP). The existing evidence is scarce and country specific. Objectives: We investigated the cross-sectional association of long-term traffic-related air pollution with BP and prevalent hypertension in European populations. Methods: We analyzed 15 population-based cohorts, participating in the European Study of Cohorts for Air Pollution Effects (ESCAPE). We modeled residential exposure to particulate matter and nitrogen oxides with land use regression using a uniform protocol. We assessed traffic exposure with traffic indicator variables. We analyzed systolic and diastolic BP in participants medicated and nonmedicated with BP-lowering medication (BPLM) separately, adjusting for personal and area-level risk factors and environmental noise. Prevalent hypertension was defined as ≥ 140 mmHg systolic BP, or ≥ 90 mmHg diastolic BP, or intake of BPLM. We combined cohort-specific results using random-effects meta-analysis. Results: In the main meta-analysis of 113,926 participants, traffic load on major roads within 100 m of the residence was associated with increased systolic and diastolic BP in nonmedicated participants [0.35 mmHg (95% CI: 0.02, 0.68) and 0.22 mmHg (95% CI: 0.04, 0.40) per 4,000,000 vehicles × m/day, respectively]. The estimated odds ratio (OR) for prevalent hypertension was 1.05 (95% CI: 0.99, 1.11) per 4,000,000 vehicles × m/day. Modeled air pollutants and BP were not clearly associated. Conclusions: In this first comprehensive meta-analysis of European population-based cohorts, we observed a weak positive association of high residential traffic exposure with BP in nonmedicated participants, and an elevated OR for prevalent hypertension. The relationship of modeled air pollutants with BP was inconsistent. Citation: Fuks KB, Weinmayr G, Foraster M, Dratva J, Hampel R, Houthuijs D, Oftedal B, Oudin A, Panasevich S, Penell J, Sommar JN, Sørensen M, Tittanen P, Wolf K, Xun WW, Aguilera I, Basagaña X, Beelen R, Bots ML, Brunekreef B, Bueno-de-Mesquita HB, Caracciolo B, Cirach M, de Faire U, de Nazelle A, Eeftens M, Elosua R, Erbel R, Forsberg B, Fratiglioni L, Gaspoz JM, Hilding A, Jula A, Korek M, Krämer U, Künzli N, Lanki T, Leander K, Magnusson PK, Marrugat J, Nieuwenhuijsen MJ, Östenson CG, Pedersen NL, Pershagen G, Phuleria HC, Probst-Hensch NM, Raaschou-Nielsen O, Schaffner E, Schikowski T, Schindler C, Schwarze PE, Søgaard AJ, Sugiri D, Swart WJ, Tsai MY, Turunen AW, Vineis P, Peters A, Hoffmann B. 2014. Arterial blood pressure and long-term exposure to traffic-related air pollution: an analysis in the European Study of Cohorts for Air Pollution Effects (ESCAPE). Environ Health Perspect 122:896–905; http://dx.doi.org/10.1289/ehp.1307725

Published
2014

40. Adherence to the World Cancer Research Fund/American Institute for Cancer Research guidelines and risk of death in Europe: results from the European Prospective Investigation into Nutrition and Cancer cohort study1,4

Author

Vergnaud, Anne-Claire, Romaguera, Dora, Peeters, Petra H, van Gils, Carla H, Chan, Doris S M, Romieu, Isabelle, Freisling, Heinz, Ferrari, Pietro, Clavel-Chapelon, Françoise, Fagherazzi, Guy, Dartois, Laureen, Li, Kuanrong, Tikk, Kaja, Bergmann, Manuela M, Boeing, Heiner, Tjønneland, Anne, Olsen, Anja, Overvad, Kim, Dahm, Christina Catherine, Redondo, Maria Luisa, Agudo, Antonio, Sánchez, María-José, Amiano, Pilar, Chirlaque, María-Dolores, Ardanaz, Eva, Khaw, Kay-Tee, Wareham, Nick J, Crowe, Francesca, Trichopoulou, Antonia, Orfanos, Philippos, Trichopoulos, Dimitrios, Masala, Giovanna, Sieri, Sabina, Tumino, Rosario, Vineis, Paolo, Panico, Salvatore, Bueno-de-Mesquita, H Bas, Ros, Martine M, May, Anne, Wirfält, Elisabet, Sonestedt, Emily, Johansson, Ingegerd, Hallmans, Göran, Lund, Eiliv, Weiderpass, Elisabete, Parr, Christine L, Riboli, Elio, Norat, Teresa, Vergnaud, Ac, Romaguera, D, Peeters, Ph, van Gils, Ch, Chan, D, Romieu, I, Freisling, H, Ferrari, P, Clavel Chapelon, F, Fagherazzi, G, Dartois, L, Li, K, Tikk, K, Bergmann, Mm, Boeing, H, Tj?nneland, A, Olsen, A, Overvad, K, Dahm, Cc, Redondo, Ml, Agudo, A, S?nchez, Mj, Amiano, P, Chirlaque, Md, Ardanaz, E, Khaw, Kt, Wareham, Nj, Crowe, F, Trichopoulou, A, Orfanos, P, Trichopoulos, D, Masala, G, Sieri, S, Tumino, R, Vineis, P, Panico, Salvatore, Bueno de Mesquita, Hb, Ros, Mm, May, A, Wirf?lt, E, Sonestedt, E, Johansson, I, Hallmans, G, Lund, E, Weiderpass, E, Parr, Cl, Riboli, E, and Norat, T.

Subjects
Adult, Male, Questionnaires, European Continental Ancestry Group, Guidelines as Topic, Middle Aged, Motor Activity, Nutrition Surveys, Diet, Cohort Studies, Europe, Risk Factors, Neoplasms, Humans, Patient Compliance, Female, Prospective Studies, Energy Intake, Life Style, Aged, Follow-Up Studies, Proportional Hazards Models, Molecular epidemiology Aetiology, screening and detection [NCEBP 1]
Abstract

Item does not contain fulltext BACKGROUND: In 2007, the World Cancer Research Fund (WCRF) and the American Institute for Cancer Research (AICR) issued recommendations on diet, physical activity, and weight management for cancer prevention on the basis of the most comprehensive collection of available evidence. OBJECTIVE: We investigated whether concordance with WCRF/AICR recommendations is related to risk of death. DESIGN: The current study included 378,864 participants from 9 European countries enrolled in the European Prospective Investigation into Cancer and Nutrition study. At recruitment (1992-1998), dietary, anthropometric, and lifestyle information was collected. A WCRF/AICR score, which incorporated 6 of the WCRF/AICR recommendations for men [regarding body fatness, physical activity, foods and drinks that promote weight gain, plant foods, animal foods, and alcoholic drinks (score range: 0-6)] and 7 WCRF/AICR recommendations for women [plus breastfeeding (score range: 0-7)], was constructed. Higher scores indicated greater concordance with WCRF/AICR recommendations. Associations between the WCRF/AICR score and risks of total and cause-specific death were estimated by using Cox regression analysis. RESULTS: After a median follow-up time of 12.8 y, 23,828 deaths were identified. Participants within the highest category of the WCRF/AICR score (5-6 points in men; 6-7 points in women) had a 34% lower hazard of death (95% CI: 0.59, 0.75) compared with participants within the lowest category of the WCRF/AICR score (0-2 points in men; 0-3 points in women). Significant inverse associations were observed in all countries. The WCRF/AICR score was also significantly associated with a lower hazard of dying from cancer, circulatory disease, and respiratory disease. CONCLUSION: Results of this study suggest that following WCRF/AICR recommendations could significantly increase longevity.

Published
2013

41. Reliability of Selected Antioxidants and Compounds Involved in One-Carbon Metabolism in Two Dutch Cohorts

Author

Leenders, Max, Ros, Martine M., Sluijs, Ivonne, Boshuizen, Hendriek C., Van Gils, Carla H., Jansen, Eug̀ene H J M, Bueno-de-Mesquita, H. Bas, LS IRAS EEPI GRA (Gezh.risico-analyse), and LS IRAS EEPI GRA (Gezh.risico-analyse)

Subjects
Male, Cancer Research, Homocysteine, Nutrition and Disease, Intraclass correlation, design, Physiology, Tocopherols, Medicine (miscellaneous), Ascorbic Acid, Wiskundige en Statistische Methoden - Biometris, Antioxidants, Cohort Studies, chemistry.chemical_compound, c-reactive protein, Voeding en Ziekte, oxidative stress, Vitamin A, Netherlands, Nutrition and Dietetics, Chemistry, Retinol, carotenoids, Middle Aged, tocopherol, European Prospective Investigation into Cancer and Nutrition, Vitamin B 12, Oncology, Female, retinol, Adult, Regression dilution, Nutritional Status, nutritional biomarkers, Young Adult, Folic Acid, Humans, cancer, Vitamin B12, Mathematical and Statistical Methods - Biometris, Aged, Molecular epidemiology Aetiology, screening and detection [NCEBP 1], Vitamin C, Carbon, Vitamin B 6, Diet, Risk Estimate, Immunology, plasma homocysteine, serum, Biomarkers
Abstract

Contains fulltext : 117571.pdf (Publisher’s version ) (Closed access) Many epidemiological studies assess nutritional status based on single blood measurements, without verifying if these remain reliable over repeated measurements. This study assessed the reliability over a period of 2 to 5 yr of plasma carotenoids, vitamin C, retinol, tocopherols, and serum compounds involved in 1-carbon metabolism in a subsample of Dutch participants of European Prospective Investigation into Cancer and Nutrition (EPIC). Blood samples from 38 men from MORGEN-EPIC and 35 women from Prospect-EPIC were collected between 1993 and 1997 and again after 2 to 5 yr. The reliability of plasma carotenoids, retinol, vitamin C, and tocopherols, and of serum folate, homocysteine, and vitamins B6 and B12 was estimated using an intraclass correlation coefficient (ICC). Serum homocysteine and vitamin B12 were highly reliable biomarkers, with ICCs of 0.91 and 0.75, respectively. All other analyzed biomarkers had a slight or fair reliability over several years (ICCs ranged from 0.17 to 0.56). Most examined biomarkers showed reliability values that may lead to considerable attenuation of the risk estimate when used as exposure assessment in a risk model. If multiple measurements are not available, the risk estimates can be adjusted for the regression dilution using the ICC as adjustment coefficient.

Published
2013

42. Physical activity and risk of Amyotrophic Lateral Sclerosis in a prospective cohort study

Author

Gallo, Valentina, Vanacore, Nicola, Bueno-de-Mesquita, H Bas, Vermeulen, Roel, Brayne, Carol, Pearce, Neil, Wark, Petra A, Ward, Heather A, Ferrari, Pietro, Jenab, Mazda, Andersen, Peter M, Wennberg, Patrik, Wareham, Nicholas, Katzke, Verena, Kaaks, Rudolf, Weiderpass, Elisabete, Peeters, Petra H, Mattiello, Amalia, Pala, Valeria, Barricante, Aurelio, Chirlaque, Maria-Dolores, Travier, Noémie, Travis, Ruth C, Sanchez, Maria-Jose, Pessah-Rasmussen, Hélène, Petersson, Jesper, Tjønneland, Anne, Tumino, Rosario, Quiros, Jose Ramon, Trichopoulou, Antonia, Kyrozis, Andreas, Oikonomidou, Despoina, Masala, Giovanna, Sacerdote, Carlotta, Arriola, Larraitz, Boeing, Heiner, Vigl, Matthaeus, Claver-Chapelon, Francoise, Middleton, Lefkos, Riboli, Elio, Vineis, Paolo, LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-I&I RA, dIRAS RA-2, LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-I&I RA, dIRAS RA-2, Department of Medical and Clinical Genetics, Medicum, University Medical Center Utrecht, and Imperial College Trust

Subjects
Gerontology, Male, Epidemiology, VDP::Medisinske Fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803, VDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Nevrologi: 752, Body Mass Index, EPIC COHORT, 0302 clinical medicine, Risk Factors, Surveys and Questionnaires, Medicine, MOTOR-NEURON DISEASE, 030212 general & internal medicine, Prospective Studies, Prospective cohort study, Non-U.S. Gov't, Vigorous physical activity, POPULATION, Public, Environmental & Occupational Health, education.field_of_study, Anthropometry, Research Support, Non-U.S. Gov't, DEATH, Age Factors, Public Health, Global Health, Social Medicine and Epidemiology, Middle Aged, Neuro-Epidemiology, CANCER, 3142 Public health care science, environmental and occupational health, 3. Good health, European Prospective Investigation into Cancer and Nutrition, VDP::Medical disciplines: 700::Health sciences: 800::Epidemiology medical and dental statistics: 803, Female, Cohort study, Life Sciences & Biomedicine, Neurovetenskaper, Adult, medicine.medical_specialty, Population, Public Health And Health Services, Motor Activity, Research Support, 03 medical and health sciences, BMI, Internal medicine, Journal Article, Humans, VALIDITY, PLAYERS, education, Aged, Proportional Hazards Models, Science & Technology, business.industry, Proportional hazards model, BLOOD-BRAIN-BARRIER, Physical activity, Amyotrophic Lateral Sclerosis, Neurosciences, BODY-MASS, EPIC study, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Socioeconomic Factors, VDP::Medical disciplines: 700::Clinical medical disciplines: 750::Neurology: 752, ALS, business, Body mass index, 030217 neurology & neurosurgery
Abstract

Previous case–control studies have suggested a possible increased risk of Amyotrophic Lateral Sclerosis (ALS) with physical activity (PA), but this association has never been studied in prospective cohort studies. We therefore assessed the association between PA and risk of death from ALS in the European Prospective Investigation into Cancer and Nutrition. A total of 472,100 individuals were included in the analysis, yielding 219 ALS deaths. At recruitment, information on PA was collected thorough standardised questionnaires. Total PA was expressed by the Cambridge Physical Activity Index (CPAI) and analysed in relation to ALS mortality, using Cox hazard models. Interactions with age, sex, and anthropometric measures were assessed. Total PA was weakly inversely associated with ALS mortality with a borderline statistically significant trend across categories (p = 0.042), with those physically active being 33 % less likely to die from ALS compared to those inactive: HR = 0.67 (95 % CI 0.42–1.06). Anthropometric measures, sex, and age did not modify the association with CPAI. The present study shows a slightly decreased—not increased like in case–control studies—risk of dying from ALS in those with high levels of total PA at enrolment. This association does not appear confounded by age, gender, anthropometry, smoking, and education. Ours was the first prospective cohort study on ALS and physical activity. Electronic supplementary material The online version of this article (doi:10.1007/s10654-016-0119-9) contains supplementary material, which is available to authorized users.

Published
2016

43. Plasma phytanic acid concentration and risk of prostate cancer: results from the European Prospective Investigation into Cancer and Nutrition1,2,3

Author

Price, Alison J, Allen, Naomi E, Appleby, Paul N, Crowe, Francesca L, Jenab, Mazda, Rinaldi, Sabina, Slimani, Nadia, Kaaks, Rudolf, Rohrmann, Sabine, Boeing, Heiner, Pischon, Tobias, Benetou, Vassiliki, Naska, Androniki, Trichopoulou, Antonia, Palli, Domenico, Sieri, Sabina, Tumino, Rosario, Vineis, Paolo, Bueno-de-Mesquita, H Bas, Donate, Ignacio, González, Carlos A, Sánchez, Maria-José, Chirlaque, Maria-Dolores, Ardanaz, Eva, Larrañaga, Nerea, Khaw, Kay-Tee, Rodwell, Sheila, Gallo, Valentina, Michaud, Dominique S, Riboli, Elio, and Key, Timothy J

Subjects
Adult, Male, Chi-Square Distribution, Prostatic Neoplasms, Middle Aged, Article, Gas Chromatography-Mass Spectrometry, Europe, Phytanic Acid, Case-Control Studies, Humans, Prospective Studies, Aged, Neoplasm Staging
Abstract

Phytanic acid, a fatty acid predominantly obtained from foods high in ruminant fat, may have a biological role in the up-regulation of the protein alpha-methylacyl-coenzyme A racemase, which is overexpressed in prostate cancer tissue.This study aimed to examine the association between plasma concentrations of phytanic acid and subsequent risk of prostate cancer.Within the European Prospective Investigation into Cancer and Nutrition cohort, 566 incident prostate cancer cases from Germany, Greece, Italy, the Netherlands, Spain, and the United Kingdom were individually matched to 566 controls by study center, age at recruitment, and time of day and duration of fasting at blood collection. Phytanic acid concentrations were measured by using a gas chromatography-mass spectrometry assay.In controls, plasma phytanic acid concentration was strongly correlated with dairy fat intake (r = 0.49, P0.0001), varied significantly by country (P for heterogeneity0.0001), and decreased with age (P for trend = 0.02) and duration of fasting at blood collection (P for trend = 0.002). There was no significant association of phytanic acid with prostate cancer risk overall (odds ratio for a doubling in concentration: 1.05; 95% CI: 0.91, 1.21; P for trend = 0.53) or by stage or grade of disease. However, in men who had fasted (3 h) at blood collection, the odds ratio for prostate cancer was 1.27 (95% CI: 1.01, 1.60; P for trend = 0.04).Plasma phytanic acid concentration is significantly associated with intake of dairy fat but not with overall risk of prostate cancer in this European population.

Published
2010

44. Occupational exposures contribute to educational inequalities in lung cancer incidence among men: evidence from the EPIC prospective cohort study

Author

Menvielle, Gwenn, Boshuizen, Hendriek, Kunst, Anton E., Vineis, Paolo, Dalton, Susanne O., Bergmann, Manuela M., Hermann, Silke, Veglia, Fabrizio, Ferrari, Pietro, Overvad, Kim, Raaschou-Nielsen, Ole, Tjønneland, Anne, Kaaks, Rudolf, Linseisen, Jakob, Palli, Domenico, Krogh, Vittorio, Tumino, Rosario, Rodriguez, Laudina, Agudo, Antonio, Sánchez, Maria-José, Arozena, Jone Miren Altzibar, Cirera, Lluis, Ardanaz, Eva, Bingham, Sheila, Khaw, Kay-Tee, Boffetta, Paolo, Duell, Eric, Slimani, Nadia, Gallo, Valentina, Riboli, Elio, Bueno-de-Mesquita, H. Bas, Menvielle, G., Boshuizen, H., Kunst, A.E., Vineis, P., Dalton, S.O., Bergmann, M.M., Hermann, S., Veglia, F., Ferrari, P., Overvad, K., Raaschou-Nielsen, O., Tjønneland, A., Kaaks, R., Linseisen, J., Palli, D., Krogh, V., Tumino, R., Rodriguez, L., Agudo, A., Sánchez, M.-J., Arozena, J.M.A., Cirera, L., Ardanaz, E., Bingham, S., Khaw, K.-T., Boffetta, P., Duell, E., Slimani, N., Gallo, V., Riboli, E., Bas Bueno-de-Mesquita, H., Public Health, Amsterdam Public Health, and Public and occupational health

Subjects
Male, prospective cohort study, Lung Neoplasms, Incidence, men, educational, Article, Occupational, Cohort Studies, lung cancer, SDG 3 - Good Health and Well-being, Socioeconomic Factors, exposure, inequalitie, Occupational Exposure, incidence, Educational Status, Humans, Prospective Studies, ddc:610, EPIC, Proportional Hazards Models
Abstract

The aim of this study is to investigate to what extent occupational exposures may explain socioeconomic inequalities in lung cancer incidence after adjusting for smoking and dietary factors. Analyses were based on a subsample of the European Prospective Investigation into Cancer and Nutrition (EPIC study), a prospective cohort. The analyses included 703 incident lung cancer cases among men in Denmark, the United Kingdom, Germany, Italy, Spain and Greece. The socioeconomic position was measured using the highest level of education. The estimates of relative indices of inequality (RII) were computed with Cox regression models. We first adjusted for smoking (with detailed information on duration and quantity) and dietary factors (fruits and vegetables consumption) and then for occupational exposures. The exposure to three carcinogens [asbestos, heavy metals and polycyclic aromatic hydrocarbons (PAH)] was analyzed. The occupational exposures explained 14% of the socioeconomic inequalities remaining after adjustment for smoking and fruits and vegetables consumption. The inequalities remained nevertheless statistically significant. The RII decreased from 1.87 (95% CI: 1.36-2.56) to 1.75 (1.27-2.41). The decrease was more pronounced when adjusting for asbestos than for heavy metals or PAH. Analyses by birth cohort suggested an effect of occupational exposures among older men, while due to small number of endpoints, no conclusion could be drawn about the role of occupational exposures in educational inequalities among younger men. Our study revealed that the impact of occupational exposures on socioeconomic inequalities in cancer incidence, rarely studied until now, exists while of modest magnitude. Some authors are partners of Environmental Cancer Risk, Nutrition and Individual Susceptibility, a network of excellence of the European Commission (6FP contract 513943). Antonio Agudo and Paolo Vineis were supported by ECNIS.

Published
2009

45. A Nested Case-Control Study of Metabolically Defined Body Size Phenotypes and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author

Murphy, Neil, Cross, Amanda J, Abubakar, Mustapha, Jenab, Mazda, Aleksandrova, Krasimira, Boutron-Ruault, Marie-Christine, Dossus, Laure, Racine, Antoine, Kühn, Tilman, Katzke, Verena A, Tjønneland, Anne, Petersen, Kristina EN, Overvad, Kim, Quirós, J Ramón, Jakszyn, Paula, Molina-Montes, Esther, Dorronsoro, Miren, Huerta, José-María, Barricarte, Aurelio, Khaw, Kay-Tee, Wareham, Nick, Travis, Ruth C, Trichopoulou, Antonia, Lagiou, Pagona, Trichopoulos, Dimitrios, Masala, Giovanna, Krogh, Vittorio, Tumino, Rosario, Vineis, Paolo, Panico, Salvatore, Bueno-De-Mesquita, H Bas, Siersema, Peter D, Peeters, Petra H, Ohlsson, Bodil, Ericson, Ulrika, Palmqvist, Richard, Nyström, Hanna, Weiderpass, Elisabete, Skeie, Guri, Freisling, Heinz, Kong, So Yeon, Tsilidis, Kostas, Muller, David C, Riboli, Elio, and Gunter, Marc J

Subjects
Male, Health Status, Risk Assessment, Body Mass Index, Risk Factors, Hyperinsulinism, Odds Ratio, Body Size, Humans, Obesity, Prospective Studies, Adiposity, 2. Zero hunger, Obesity, Metabolically Benign, Chi-Square Distribution, C-Peptide, Incidence, nutritional and metabolic diseases, Middle Aged, Protective Factors, 3. Good health, Europe, Logistic Models, Phenotype, Case-Control Studies, Multivariate Analysis, Female, Waist Circumference, Colorectal Neoplasms, Biomarkers
Abstract

BACKGROUND: Obesity is positively associated with colorectal cancer. Recently, body size subtypes categorised by the prevalence of hyperinsulinaemia have been defined, and metabolically healthy overweight/obese individuals (without hyperinsulinaemia) have been suggested to be at lower risk of cardiovascular disease than their metabolically unhealthy (hyperinsulinaemic) overweight/obese counterparts. Whether similarly variable relationships exist for metabolically defined body size phenotypes and colorectal cancer risk is unknown. METHODS AND FINDINGS: The association of metabolically defined body size phenotypes with colorectal cancer was investigated in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolic health/body size phenotypes were defined according to hyperinsulinaemia status using serum concentrations of C-peptide, a marker of insulin secretion. A total of 737 incident colorectal cancer cases and 737 matched controls were divided into tertiles based on the distribution of C-peptide concentration amongst the control population, and participants were classified as metabolically healthy if below the first tertile of C-peptide and metabolically unhealthy if above the first tertile. These metabolic health definitions were then combined with body mass index (BMI) measurements to create four metabolic health/body size phenotype categories: (1) metabolically healthy/normal weight (BMI < 25 kg/m2), (2) metabolically healthy/overweight (BMI ≥ 25 kg/m2), (3) metabolically unhealthy/normal weight (BMI < 25 kg/m2), and (4) metabolically unhealthy/overweight (BMI ≥ 25 kg/m2). Additionally, in separate models, waist circumference measurements (using the International Diabetes Federation cut-points [≥80 cm for women and ≥94 cm for men]) were used (instead of BMI) to create the four metabolic health/body size phenotype categories. Statistical tests used in the analysis were all two-sided, and a p-value of

46. Pre-diagnostic metabolite concentrations and prostate cancer risk in 1077 cases and 1077 matched controls in the European Prospective Investigation into Cancer and Nutrition

Author

Schmidt, Julie A, Fensom, Georgina K, Rinaldi, Sabina, Scalbert, Augustin, Appleby, Paul N, Achaintre, David, Gicquiau, Audrey, Gunter, Marc J, Ferrari, Pietro, Kaaks, Rudolf, Kühn, Tilman, Floegel, Anna, Boeing, Heiner, Trichopoulou, Antonia, Lagiou, Pagona, Anifantis, Eleutherios, Agnoli, Claudia, Palli, Domenico, Trevisan, Morena, Tumino, Rosario, Bueno-De-Mesquita, H Bas, Agudo, Antonio, Larrañaga, Nerea, Redondo-Sánchez, Daniel, Barricarte, Aurelio, Huerta, José Maria, Quirós, J Ramón, Wareham, Nick, Khaw, Kay-Tee, Perez-Cornago, Aurora, Johansson, Mattias, Cross, Amanda J, Tsilidis, Konstantinos K, Riboli, Elio, Key, Timothy J, and Travis, Ruth C

Subjects
Male, Sphingolipids, Mass spectrometry, Biogenic amines, Nutritional Status, Prostatic Neoplasms, European Prospective Investigation into Cancer and Nutrition (EPIC), Glycerophospholipids, Prostate cancer risk, Middle Aged, 3. Good health, Cohort Studies, Logistic Models, Hexose, Case-Control Studies, Odds Ratio, Amino acids, Metabolomics, Humans, Prospective Studies, Prospective study, Biomarkers, Acylcarnitines, Aged, Follow-Up Studies
Abstract

BACKGROUND: Little is known about how pre-diagnostic metabolites in blood relate to risk of prostate cancer. We aimed to investigate the prospective association between plasma metabolite concentrations and risk of prostate cancer overall, and by time to diagnosis and tumour characteristics, and risk of death from prostate cancer. METHODS: In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition, pre-diagnostic plasma concentrations of 122 metabolites (including acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose and sphingolipids) were measured using targeted mass spectrometry (AbsoluteIDQ p180 Kit) and compared between 1077 prostate cancer cases and 1077 matched controls. Risk of prostate cancer associated with metabolite concentrations was estimated by multi-variable conditional logistic regression, and multiple testing was accounted for by using a false discovery rate controlling procedure. RESULTS: Seven metabolite concentrations, i.e. acylcarnitine C18:1, amino acids citrulline and trans-4-hydroxyproline, glycerophospholipids PC aa C28:1, PC ae C30:0 and PC ae C30:2, and sphingolipid SM (OH) C14:1, were associated with prostate cancer (p < 0.05), but none of the associations were statistically significant after controlling for multiple testing. Citrulline was associated with a decreased risk of prostate cancer (odds ratio (OR1SD) = 0.73; 95% confidence interval (CI) 0.62-0.86; p trend = 0.0002) in the first 5 years of follow-up after taking multiple testing into account, but not after longer follow-up; results for other metabolites did not vary by time to diagnosis. After controlling for multiple testing, 12 glycerophospholipids were inversely associated with advanced stage disease, with risk reduction up to 46% per standard deviation increase in concentration (OR1SD = 0.54; 95% CI 0.40-0.72; p trend = 0.00004 for PC aa C40:3). Death from prostate cancer was associated with higher concentrations of acylcarnitine C3, amino acids methionine and trans-4-hydroxyproline, biogenic amine ADMA, hexose and sphingolipid SM (OH) C14:1 and lower concentration of glycerophospholipid PC aa C42:4. CONCLUSIONS: Several metabolites, i.e. C18:1, citrulline, trans-4-hydroxyproline, three glycerophospholipids and SM (OH) C14:1, might be related to prostate cancer. Analyses by time to diagnosis indicated that citrulline may be a marker of subclinical prostate cancer, while other metabolites might be related to aetiology. Several glycerophospholipids were inversely related to advanced stage disease. More prospective data are needed to confirm these associations.

47. One-carbon metabolism biomarkers and risk of urothelial cell carcinoma in the European prospective investigation into cancer and nutrition

Author

Vrieling, Alina, Bueno-De-Mesquita, H Bas, Ros, Martine M, Kampman, Ellen, Aben, Katja K, Büchner, Frederike L, Jansen, Eugène H, Roswall, Nina, Tjønneland, Anne, Boutron-Ruault, Marie-Christine, Cadeau, Claire, Chang-Claude, Jenny, Kaaks, Rudolf, Weikert, Steffen, Boeing, Heiner, Trichopoulou, Antonia, Lagiou, Pagona, Trichopoulos, Dimitrios, Sieri, Sabina, Palli, Domenico, Panico, Salvatore, Peeters, Petra H, Weiderpass, Elisabete, Skeie, Guri, Jakszyn, Paula, Chirlaque, María-Dolores, Ardanaz, Eva, Sánchez, María-José, Ehrnström, Roy, Malm, Johan, Ljungberg, Börje, Khaw, Kay-Tee, Wareham, Nick J, Brennan, Paul, Johansson, Mattias, Riboli, Elio, and Kiemeney, Lambertus A

Subjects
Male, Carcinoma, Transitional Cell, nested case-control, Smoking, Middle Aged, folate, Risk Assessment, urothelial cell carcinomas, Vitamin B 6, 3. Good health, Vitamin B 12, B-vitamins, Folic Acid, Urinary Bladder Neoplasms, Case-Control Studies, Biomarkers, Tumor, Odds Ratio, biomarker, Humans, Female, Prospective Studies, Homocysteine, Aged
Abstract

Published associations between dietary folate and bladder cancer risk are inconsistent. Biomarkers may provide more accurate measures of nutrient status. This nested case-control analysis within the European Prospective Investigation into Cancer and Nutrition (EPIC) investigated associations between pre-diagnostic serum folate, homocysteine, vitamins B6 and B12 and the risk of urothelial cell carcinomas of the bladder (UCC). A total of 824 patients with newly diagnosed UCC were matched with 824 cohort members. Serum folate, homocysteine, and vitamins B6 and B12 were measured. Odds ratios (OR) and 95% confidence intervals (CI) for total, aggressive, and non-aggressive UCC were estimated using conditional logistic regression with adjustment for smoking status, smoking duration and intensity, and other potential confounders. Additionally, statistical interaction with smoking status was assessed. A halving in serum folate concentrations was moderately associated with risk of UCC (OR: 1.18; 95% CI: 0.98-1.43), in particular aggressive UCC (OR: 1.34; 95% CI: 1.02-1.75; p-heterogeneity = 0.19). Compared to never smokers in the highest quartile of folate concentrations, this association seemed only apparent among current smokers in the lowest quartile of folate concentrations (OR: 6.26; 95% CI: 3.62-10.81, p-interaction = 0.07). Dietary folate was not associated with aggressive UCC (OR: 1.26; 95% CI: 0.81-1.95; p-heterogeneity = 0.14). No association was observed between serum homocysteine, vitamins B6 and B12 and risk of UCC. This study suggests that lower serum folate concentrations are associated with increased UCC risk, in particular aggressive UCC. Residual confounding by smoking cannot be ruled out and these findings require confirmation in future studies with multiple measurements.

48. Tall height and obesity are associated with an increased risk of aggressive prostate cancer: results from the EPIC cohort study

Author

Perez-Cornago, Aurora, Appleby, Paul N, Pischon, Tobias, Tsilidis, Konstantinos K, Tjønneland, Anne, Olsen, Anja, Overvad, Kim, Kaaks, Rudolf, Kühn, Tilman, Boeing, Heiner, Steffen, Annika, Trichopoulou, Antonia, Lagiou, Pagona, Kritikou, Maria, Krogh, Vittorio, Palli, Domenico, Sacerdote, Carlotta, Tumino, Rosario, Bueno-De-Mesquita, H Bas, Agudo, Antonio, Larrañaga, Nerea, Molina-Portillo, Elena, Barricarte, Aurelio, Chirlaque, Maria-Dolores, Quirós, J Ramón, Stattin, Pär, Häggström, Christel, Wareham, Nick, Khaw, Kay-Tee, Schmidt, Julie A, Gunter, Marc, Freisling, Heinz, Aune, Dagfinn, Ward, Heather, Riboli, Elio, Key, Timothy J, and Travis, Ruth C

Subjects
2. Zero hunger, Male, Prostate cancer, Height, Prostatic Neoplasms, Middle Aged, Tumour characteristics, Body Height, White People, 3. Good health, Body Mass Index, Cohort Studies, Nutrition Assessment, High grade, Risk Factors, Humans, Obesity, Prospective Studies, Waist Circumference, Cohort study, Adiposity, Aged, Proportional Hazards Models
Abstract

BACKGROUND: The relationship between body size and prostate cancer risk, and in particular risk by tumour characteristics, is not clear because most studies have not differentiated between high-grade or advanced stage tumours, but rather have assessed risk with a combined category of aggressive disease. We investigated the association of height and adiposity with incidence of and death from prostate cancer in 141,896 men in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. METHODS: Multivariable-adjusted Cox proportional hazards models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). After an average of 13.9 years of follow-up, there were 7024 incident prostate cancers and 934 prostate cancer deaths. RESULTS: Height was not associated with total prostate cancer risk. Subgroup analyses showed heterogeneity in the association with height by tumour grade (P heterogeneity = 0.002), with a positive association with risk for high-grade but not low-intermediate-grade disease (HR for high-grade disease tallest versus shortest fifth of height, 1.54; 95% CI, 1.18-2.03). Greater height was also associated with a higher risk for prostate cancer death (HR = 1.43, 1.14-1.80). Body mass index (BMI) was significantly inversely associated with total prostate cancer, but there was evidence of heterogeneity by tumour grade (P heterogeneity = 0.01; HR = 0.89, 0.79-0.99 for low-intermediate grade and HR = 1.32, 1.01-1.72 for high-grade prostate cancer) and stage (P heterogeneity = 0.01; HR = 0.86, 0.75-0.99 for localised stage and HR = 1.11, 0.92-1.33 for advanced stage). BMI was positively associated with prostate cancer death (HR = 1.35, 1.09-1.68). The results for waist circumference were generally similar to those for BMI, but the associations were slightly stronger for high-grade (HR = 1.43, 1.07-1.92) and fatal prostate cancer (HR = 1.55, 1.23-1.96). CONCLUSIONS: The findings from this large prospective study show that men who are taller and who have greater adiposity have an elevated risk of high-grade prostate cancer and prostate cancer death.

49. Reproductive factors and risk of mortality in the European Prospective Investigation into Cancer and Nutrition; a cohort study

Author

Merritt, Melissa A, Riboli, Elio, Murphy, Neil, Kadi, Mai, Tjønneland, Anne, Olsen, Anja, Overvad, Kim, Dossus, Laure, Dartois, Laureen, Clavel-Chapelon, Françoise, Fortner, Renée T, Katzke, Verena A, Boeing, Heiner, Trichopoulou, Antonia, Lagiou, Pagona, Trichopoulos, Dimitrios, Palli, Domenico, Sieri, Sabina, Tumino, Rosario, Sacerdote, Carlotta, Panico, Salvatore, Bueno-De-Mesquita, H Bas, Peeters, Petra H, Lund, Eiliv, Nakamura, Aurelie, Weiderpass, Elisabete, Quirós, J Ramón, Agudo, Antonio, Molina-Montes, Esther, Larrañaga, Nerea, Dorronsoro, Miren, Cirera, Lluís, Barricarte, Aurelio, Olsson, Åsa, Butt, Salma, Idahl, Annika, Lundin, Eva, Wareham, Nicholas J, Key, Timothy J, Brennan, Paul, Ferrari, Pietro, Wark, Petra A, Norat, Teresa, Cross, Amanda J, and Gunter, Marc J

Subjects
2. Zero hunger, Adult, Male, Menarche, Age Factors, Nutritional Status, Middle Aged, White People, 3. Good health, Cohort Studies, Parity, Pregnancy, Neoplasms, Humans, Female, Prospective Studies, Menopause, Reproductive History, Aged, Contraceptives, Oral
Abstract

BACKGROUND: Reproductive events are associated with important physiologic changes, yet little is known about how reproductive factors influence long-term health in women. Our objective was to assess the relation of reproductive characteristics with all-cause and cause-specific mortality risk. METHODS: The analysis was performed within the European Investigation into Cancer and Nutrition prospective cohort study, which enrolled >500,000 women and men from 1992 to 2000, who were residing in a given town/geographic area in 10 European countries. The current analysis included 322,972 eligible women aged 25-70 years with 99 % complete follow-up for vital status. We assessed reproductive characteristics reported at the study baseline including parity, age at the first birth, breastfeeding, infertility, oral contraceptive use, age at menarche and menopause, total ovulatory years, and history of oophorectomy/hysterectomy. Hazard ratios (HRs) and 95 % confidence intervals (CIs) for mortality were determined using Cox proportional hazards regression models adjusted for menopausal status, body mass index, physical activity, education level, and smoking status/intensity and duration. RESULTS: During a mean follow-up of 12.9 years, 14,383 deaths occurred. The HR (95 % CI) for risk of all-cause mortality was lower in parous versus nulliparous women (0.80; 0.76-0.84), in women who had ever versus never breastfed (0.92; 0.87-0.97), in ever versus never users of oral contraceptives (among non-smokers; 0.90; 0.86-0.95), and in women reporting a later age at menarche (≥15 years versus

50. Pre-diagnostic concordance with the WCRF/AICR guidelines and survival in European colorectal cancer patients: a cohort study

Author

Romaguera, Dora, Ward, Heather, Wark, Petra A, Vergnaud, Anne-Claire, Peeters, Petra H, Van Gils, Carla H, Ferrari, Pietro, Fedirko, Veronika, Jenab, Mazda, Boutron-Ruault, Marie-Christine, Dossus, Laure, Dartois, Laureen, Hansen, Camilla Plambeck, Dahm, Christina Catherine, Buckland, Genevieve, Sánchez, María José, Dorronsoro, Miren, Navarro, Carmen, Barricarte, Aurelio, Key, Timothy J, Trichopoulou, Antonia, Tsironis, Christos, Lagiou, Pagona, Masala, Giovanna, Pala, Valeria, Tumino, Rosario, Vineis, Paolo, Panico, Salvatore, Bueno-De-Mesquita, H Bas, Siersema, Peter D, Ohlsson, Bodil, Jirström, Karin, Wennberg, Maria, Nilsson, Lena M, Weiderpass, Elisabete, Kühn, Tilman, Katzke, Verena, Khaw, Kay-Tee, Wareham, Nick J, Tjønneland, Anne, Boeing, Heiner, Quirós, José R, Gunter, Marc J, Riboli, Elio, and Norat, Teresa

Subjects
2. Zero hunger, Adult, Aged, 80 and over, Male, Incidence, Middle Aged, White People, 3. Good health, Diet, Cohort Studies, Humans, Patient Compliance, Female, Prospective Studies, Colorectal Neoplasms, Life Style, Aged, Proportional Hazards Models
Abstract

BACKGROUND: Cancer survivors are advised to follow lifestyle recommendations on diet, physical activity, and body fatness proposed by the World Cancer Research Fund/American Institute of Cancer Research (WCRF/AICR) for cancer prevention. Previous studies have demonstrated that higher concordance with these recommendations measured using an index score (the WCRF/AICR score) was associated with lower cancer incidence and mortality. The aim of this study was to evaluate the association between pre-diagnostic concordance with WCRF/AICR recommendations and mortality in colorectal cancer (CRC) patients. METHODS: The association between the WCRF/AICR score (score range 0-6 in men and 0-7 in women; higher scores indicate greater concordance) assessed on average 6.4 years before diagnosis and CRC-specific (n = 872) and overall mortality (n = 1,113) was prospectively examined among 3,292 participants diagnosed with CRC in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (mean follow-up time after diagnosis 4.2 years). Multivariable Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality. RESULTS: The HRs (95% CIs) for CRC-specific mortality among participants in the second (score range in men/women: 2.25-2.75/3.25-3.75), third (3-3.75/4-4.75), and fourth (4-6/5-7) categories of the score were 0.87 (0.72-1.06), 0.74 (0.61-0.90), and 0.70 (0.56-0.89), respectively (P for trend

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