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1,198 results on '"Albanes D"'

1. Timing of HPV16-E6 antibody seroconversion before OPSCC: findings from the HPVC3 consortium

Author

Kreimer, A.R., Ferreiro-Iglesias, A., Nygard, M., Bender, N., Schroeder, L., Hildesheim, A., Robbins, H.A., Pawlita, M., Langseth, H., Schlecht, N.F., Tinker, L.F., Agalliu, I., Smoller, S.W., Ness-Jensen, E., Hveem, K., D’Souza, G., Visvanathan, K., May, B., Ursin, G., Weiderpass, E., Giles, G.G., Milne, R.L., Cai, Q., Blot, W.J., Zheng, W., Weinstein, S.J., Albanes, D., Brenner, N., Hoffman-Bolton, J., Kaaks, R., Barricarte, A., Tjønneland, A., Sacerdote, C., Trichopoulou, A., Vermeulen, R.C.H., Huang, W.-Y., Freedman, N.D., Brennan, P., Waterboer, T., and Johansson, M.

Published
2019
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2. Vitamin B6 catabolism and lung cancer risk: results from the Lung Cancer Cohort Consortium (LC3)

Author

Zuo, H., Ueland, P.M., Midttun, Ø, Tell, G.S., Fanidi, A., Zheng, W., Shu, X., Xiang, Y., Wu, J., Prentice, R., Pettinger, M., Thomson, C.A., Giles, G.G., Hodge, A., Cai, Q., Blot, W.J., Johansson, M., Hultdin, J., Grankvist, K., Stevens, V.L., McCullough, M.L., Weinstein, S.J., Albanes, D., Ziegler, R.G., Freedman, N.D., Caporaso, N.E., Langhammer, A., Hveem, K., Næss, M., Buring, J.E., Lee, I., Gaziano, J.M., Severi, G., Zhang, X., Stampfer, M.J., Han, J., Zeleniuch-Jacquotte, A., Marchand, L.L., Yuan, J., Wang, R., Koh, W., Gao, Y., Ericson, U., Visvanathan, K., Jones, M.R., Relton, C., Brennan, P., and Ulvik, A.

Published
2019
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4. No association between circulating concentrations of vitamin D and risk of lung cancer: an analysis in 20 prospective studies in the Lung Cancer Cohort Consortium (LC3)

Author

Muller, D.C., Hodge, A.M., Fanidi, A., Albanes, D., Mai, X.M., Shu, X.O., Weinstein, S.J., Larose, T.L., Zhang, X., Han, J., Stampfer, M.J., Smith-Warner, S.A., Ma, J., Gaziano, J.M., Sesso, H.D., Stevens, V.L., McCullough, M.L., Layne, T.M., Prentice, R., Pettinger, M., Thomson, C.A., Zheng, W., Gao, Y.T., Rothman, N., Xiang, Y.B., Cai, H., Wang, R., Yuan, J.M., Koh, W.P., Butler, L.M., Cai, Q., Blot, W.J., Wu, J., Ueland, P.M., Midttun, Ø., Langhammer, A., Hveem, K., Johansson, M., Hultdin, J., Grankvist, K., Arslan, A.A., Le Marchand, L., Severi, G., and Brennan, P.

Published
2018
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5. Genome-wide Association Study of Bladder Cancer Reveals New Biological and Translational Insights

Author

Koutros, S., Kiemeney, L.A., Pal Choudhury, P., Milne, R.L., Lopez de Maturana, E., Ye, Y., Joseph, V., Florez-Vargas, O., Dyrskjøt, L., Figueroa, J., Dutta, D., Giles, G.G., Hildebrandt, M.A.T., Offit, K., Kogevinas, M., Weiderpass, E., McCullough, M.L., Freedman, N.D., Albanes, D., Kooperberg, C., Cortessis, V.K., Karagas, M.R., Johnson, A., Schwenn, M.R., Baris, D., Furberg, H., Bajorin, D.F., Cussenot, O., Cancel-Tassin, G., Benhamou, S., Kraft, P., Porru, S., Carta, A., Bishop, T., Southey, M.C., Matullo, G., Fletcher, T., Kumar, R., Taylor, J.A., Lamy, P., Prip, F., Kalisz, M., Weinstein, S.J., Hengstler, J.G., Selinski, S., Harland, M., Teo, M., Kiltie, A.E., Tardón, A., Serra, C., Carrato, A., García-Closas, R., Lloreta, J., Schned, A., Lenz, P., Riboli, E., Brennan, P., Tjønneland, A., Otto, T., Ovsiannikov, D., Volkert, F., Vermeulen, S.H., Aben, K.K.H., Galesloot, T.E., Turman, C., Vivo, I. De, Giovannucci, E., Hunter, D.J., Hohensee, C., Hunt, R., Patel, A.V., Huang, W.Y., Thorleifsson, G., Gago-Dominguez, M., Amiano, P., Golka, K., Stern, M.C., Yan, W., Liu, J., Li, S.A., Katta, S., Hutchinson, A., Hicks, B., Wheeler, W.A., Purdue, M.P., McGlynn, K.A., Kitahara, C.M., Haiman, C.A., Greene, M.H., Rafnar, T., Chatterjee, N., Chanock, S.J., Wu, X., Real, F.X., Silverman, D.T., Garcia-Closas, M., Stefansson, K., Prokunina-Olsson, L., Malats, N., and Rothman, N.

Abstract

BACKGROUND: Genomic regions identified by genome-wide association studies (GWAS) for bladder cancer risk provide new insights into etiology. OBJECTIVE: To identify new susceptibility variants for bladder cancer in a meta-analysis of new and existing genome-wide genotype data. DESIGN, SETTING, AND PARTICIPANTS: Data from 32 studies that includes 13,790 bladder cancer cases and 343,502 controls of European ancestry were used for meta-analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSES: Log-additive associations of genetic variants were assessed using logistic regression models. A fixed-effects model was used for meta-analysis of the results. Stratified analyses were conducted to evaluate effect modification by sex and smoking status. A polygenic risk score (PRS) was generated on the basis of known and novel susceptibility variants and tested for interaction with smoking. RESULTS AND LIMITATIONS: Multiple novel bladder cancer susceptibility loci (6p.22.3, 7q36.3, 8q21.13, 9p21.3, 10q22.1, 19q13.33) as well as improved signals in three known regions (4p16.3, 5p15.33, 11p15.5) were identified, bringing the number of independent markers at genome-wide significance (p

Published
2023

7. Dairy products and pancreatic cancer risk: a pooled analysis of 14 cohort studies

Author

Genkinger, J.M., Wang, M., Li, R., Albanes, D., Anderson, K.E., Bernstein, L., van den Brandt, P.A., English, D.R., Freudenheim, J.L., Fuchs, C.S., Gapstur, S.M., Giles, G.G., Goldbohm, R.A., Håkansson, N., Horn-Ross, P.L., Koushik, A., Marshall, J.R., McCullough, M.L., Miller, A.B., Robien, K., Rohan, T.E., Schairer, C., Silverman, D.T., Stolzenberg-Solomon, R.Z., Virtamo, J., Willett, W.C., Wolk, A., Ziegler, R.G., and Smith-Warner, S.A.

Published
2014
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10. Common genetic polymorphisms contribute to the association between chronic lymphocytic leukaemia and non-melanoma skin cancer

Author

Besson, C., Moore, A., Vajdic, C.M., de Sanjose, S., Camp, N.J., Smedby, K.E., Shanafelt, T.D., Morton, L.M., Brewer, J.D., Zablotska, L., Chung, C.C., Teras, L.R., Kleinstern, G., Monnereau, A., Kane, E., Benavente, Y., Purdue, M.P., Birmann, B.M., Link, B.K., Vermeulen, R.C.H., Spinelli, J.J., Albanes, D., Arslan, A.A., Miligi, L., Molina, T.J., Skibola, C.F., Cozen, W., Staines, A., Caporaso, N.E., Giles, G.G., Southey, M.C., Milne, R.L., Tinker, L.F., Severson, R.K., Melbye, M., Adami, H.-O., Glimelius, B., Bracci, P.M., Conde, L., Glenn, M., Curtin, K., Lan, Q., Zheng, T., Weinstein, S., Brooks-Wilson, A.R., Diver, W.R., Clavel, J., Vineis, P., Weiderpass, E., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Weinberg, J.B., Sanna, S., Gambelunghe, A., Jackson, R.D., Hjalgrim, H., North, K.E., McKay, J., Offit, K., Vijai, J., Nieters, A., Engels, E.A., Chanock, S.J., Rothman, N., Cerhan, J.R., Slager, S.L., Han, J., Berndt, S.I., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2

Subjects
0301 basic medicine, Oncology, medicine.medical_specialty, Skin Neoplasms, Epidemiology, Chronic lymphocytic leukemia, Single-nucleotide polymorphism, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Polygenic risk score, immune system diseases, Risk Factors, Polymorphism (computer science), hemic and lymphatic diseases, Internal medicine, Pleiotropism, Genetics, medicine, Genetic predisposition, Humans, Basal cell carcinoma, neoplasms, Pleiotropy, business.industry, General Medicine, Odds ratio, medicine.disease, Leukemia, Lymphocytic, Chronic, B-Cell, NMSC, 030104 developmental biology, Carcinoma, Basal Cell, 030220 oncology & carcinogenesis, Carcinoma, Squamous Cell, Skin cancer, business, CLL
Abstract

Background Epidemiological studies have demonstrated a positive association between chronic lymphocytic leukaemia (CLL) and non-melanoma skin cancer (NMSC). We hypothesized that shared genetic risk factors between CLL and NMSC could contribute to the association observed between these diseases. Methods We examined the association between (i) established NMSC susceptibility loci and CLL risk in a meta-analysis including 3100 CLL cases and 7667 controls and (ii) established CLL loci and NMSC risk in a study of 4242 basal cell carcinoma (BCC) cases, 825 squamous cell carcinoma (SCC) cases and 12802 controls. Polygenic risk scores (PRS) for CLL, BCC and SCC were constructed using established loci. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Results Higher CLL-PRS was associated with increased BCC risk (OR4th-quartile-vs-1st-quartile = 1.13, 95% CI: 1.02–1.24, Ptrend = 0.009), even after removing the shared 6p25.3 locus. No association was observed with BCC-PRS and CLL risk (Ptrend = 0.68). These findings support a contributory role for CLL in BCC risk, but not for BCC in CLL risk. Increased CLL risk was observed with higher SCC-PRS (OR4th-quartile-vs-1st-quartile = 1.22, 95% CI: 1.08–1.38, Ptrend = 1.36 × 10–5), which was driven by shared genetic susceptibility at the 6p25.3 locus. Conclusion These findings highlight the role of pleiotropy regarding the pathogenesis of CLL and NMSC and shows that a single pleiotropic locus, 6p25.3, drives the observed association between genetic susceptibility to SCC and increased CLL risk. The study also provides evidence that genetic susceptibility for CLL increases BCC risk.

Published
2021

11. Iam hiQ—a novel pair of accuracy indices for imputed genotypes

Author

Rosenberger, A., Tozzi, V., Bickeböller, H., Hung, R.J., Christiani, D.C., Caporaso, N.E., Liu, G., Bojesen, S.E., Le Marchand, L., Albanes, D., Aldrich, M.C., Tardon, A., Fernández-Tardón, G., Rennert, G., Field, J.K., Davies, M., Liloglou, T., Kiemeney, L.A., Lazarus, P., Haugen, A., Zienolddiny, S., Lam, S., Schabath, M.B., Andrew, A.S., Duell, E.J., Arnold, S.M., Brunnström, H., Melander, O., Goodman, G.E., Chen, C., Doherty, J.A., Teare, M.D., Cox, A., Woll, P.J., Risch, A., Muley, T.R., Johansson, M., Brennan, P., Landi, M.T., Shete, S.S., and Amos, C.I.

Abstract

Background\ud \ud Imputation of untyped markers is a standard tool in genome-wide association studies to close the gap between directly genotyped and other known DNA variants. However, high accuracy with which genotypes are imputed is fundamental. Several accuracy measures have been proposed and some are implemented in imputation software, unfortunately diversely across platforms. In the present paper, we introduce Iam hiQ, an independent pair of accuracy measures that can be applied to dosage files, the output of all imputation software. Iam (imputation accuracy measure) quantifies the average amount of individual-specific versus population-specific genotype information in a linear manner. hiQ (heterogeneity in quantities of dosages) addresses the inter-individual heterogeneity between dosages of a marker across the sample at hand.\ud \ud \ud \ud Results\ud \ud Applying both measures to a large case–control sample of the International Lung Cancer Consortium (ILCCO), comprising 27,065 individuals, we found meaningful thresholds for Iam and hiQ suitable to classify markers of poor accuracy. We demonstrate how Manhattan-like plots and moving averages of Iam and hiQ can be useful to identify regions enriched with less accurate imputed markers, whereas these regions would by missed when applying the accuracy measure info (implemented in IMPUTE2).\ud \ud \ud \ud Conclusion\ud \ud We recommend using Iam hiQ additional to other accuracy scores for variant filtering before stepping into the analysis of imputed GWAS data.

Published
2022

12. Association of antiparietal cell and anti-intrinsic factor antibodies with risk of gastric cancer

Author

Song, M. (Minkyo), Camargo, M. C. (M. Constanza), Katki, H. A. (Hormuzd A.), Weinstein, S. J. (Stephanie J.), Männistö, S. (Satu), Albanes, D. (Demetrius), Surcel, H.-M. (Heljä-Marja), and Rabkin, C. S. (Charles S.)

Abstract

Importance: Autoimmune gastritis is an alternative cause of gastric carcinogenesis. This cause may be gaining importance with declining prevalence of chronic Helicobacter pylori infection. Objectives: To determine the association of prediagnostic autoantibodies to gastric mucosa with gastric cancer (GC) risk. Design, Setting, and Participants: This cohort study used nested GC case-control analyses within separate Finnish cohorts of women of reproductive age (Finnish Maternity Cohort [FMC]; born 1938‐1989) and older men (Alpha-Tocopherol, Beta-Carotene Cancer Prevention [ATBC] Study; born 1916‐1939). There were 529 and 457 matched pairs from the FMC and ATBC Study, respectively, with mean participant ages of 30.5 and 57.5 years and medians of 17 and 11 years from baseline to cancer diagnosis. Data analyses were performed between August 2019 and November 2020. Exposures: Antiparietal cell antibodies (APCAs), anti-intrinsic factor antibodies, and anti–H pylori antibodies were measured in baseline serum using immunoassays. Main Outcomes and Measures: Autoantibody associations were estimated by odds ratios (ORs) and 95% CIs. Results: Of the 529 control participants in the FMC and 457 control participants in the ATBC Study, 53 (10%) women and 35 (7.7%) men were APCA seropositive, respectively, whereas 146 (28%) women and 329 (72%) men were H pylori seropositive. In the FMC, APCA seropositivity was statistically significantly associated with GC risk among H pylori-seronegative women (OR, 5.52; 95% CI, 3.16‐9.64) but not H pylori-seropositive women (OR, 1.29; 95% CI, 0.64‐2.60; P for interaction = .002). The APCA association with H pylori seronegativity was strongest for tumors in the fundus and corpus (OR, 24.84; 95% CI, 8.49‐72.72). In the ATBC Study, APCA seropositivity was not associated with GC among either H pylori–seronegative men (OR, 0.99; 95% CI, 0.32‐3.04) or H pylori–seropositive men (OR, 1.06; 95% CI, 0.60‐1.88). In both cohorts, anti-intrinsic factor antibody seroprevalence was less than 2% among cases as well as controls and not statistically associated with GC risk. Conclusions and relevance: Results of this cohort study demonstrate that autoantibody positivity may reflect subclinical autoimmune gastritis in younger women. The findings among young females and corpus subsite align with increasing cancer incidence trends for these groups. Stronger autoimmune associations in H pylori-seronegative individuals support a model of autoimmune gastritis replacing H pylori as the driving factor.

Published
2022

15. Poster Abstracts

Author

Lawson, T., Tsay, B.-L., Wolfinbarger, L., Jr., Locniskar, M., Maldve, R. E., Bechtel, D. H., Fischer, S. M., Vucenik, I., Shamsuddin, A. M., Choi, C. B., Keller, W., Park, C. S., Chen, M. F., Chen, L. T., Boyce, H. W., Jr., Millis, R. M., Diya, C. A., Huber, W., Kraupp-Grasl, B., Gschwentner, C., Schulte-Hermann, R., Goldin, B. R., Gualtieri, L., Moore, R., Gorbach, S. L., Prior, F. G. R., Boskamp, E. K. M., Blank, S. E., Elstad, C. A., Pfister, L., Woodall, K. L., Gallucci, R. M., Meadows, G. G., Foley-Nelson, T., Stallion, A., Chance, W. T., Fischer, J. E., Kim, Y. E., Beebe, L. E., Fornwald, L., Anderson, L. M., Dorgan, J., Schatzkin, A., Brown, C., Kreger, B., Barrett, M., Albanes, D., Splansky, G., Giles, T. C., Roebuck, B. D., Herrington, M. K., Permert, J., Kazakoff, K., Pour, P. M., Adrian, T. E., Caffrey, P. B., Frenkel, G. D., Golubic, M., Homayoun, P., Tanaka, K., Dobrowolski, S., Wood, D., Tsai, M.-H., Tamanoi, F., Stacey, D. W., Ramirez, M. E., Fernandes, G., Venkatraman, J., Cypel, Y. S., Benell, N., Douglass, J. S., Egan, S. K., Fleming, K. H., Petersen, B. J., Lane, H. W., White, M. T., Teer, P., Keith, R. E., Strahan, S., Mukhtar, H., Katiyar, S. K., Agarwal, R., Iafelice, R. W., Simonich, W. L., Lewis, D. K., Bautista, J. F., Tagliaferro, A. R., Ronan, A. M., Meeker, L. D., Agarwal, C., Rorke, E. A., Eckert, R. L., Lewis, C., Anver, M., Taylor, P. R., Kiremidjian-Schumacher, L., Roy, M., Wishe, H. I., Cohen, M. W., Stotzky, G., Yancy, A. K., Lupton, J. R., Sharp, S. W., Rooney, T. K., Hong, J.-Y., Wang, Z.-Y., Smith, T., Zhou, S., Shi, S. T., Yang, C. S., Yen, A., Forbes, M., Leonessa, F., Lim, W.-Y., Boulay, V., Lippman, J., Clarke, R., Huang, M.-T., Reuhl, K., Conney, A. H., Patterson, B. H., Clark, L. C., Weed, D. L., Tumbull, B. W., Turley, J. M., Sanders, B. G., Kline, K., Lu, C. Y., Dustin, L. B., Vazquez, M. A., Feuers, R. J., Weindruch, R., Leakey, J. E. A., and Jacobs, Maryce M., editor

Published
1992
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18. Corrigendum to ‘Measures of body fatness and height in early and mid-to-late adulthood and prostate cancer: risk and mortality in The Pooling Project of Prospective Studies of Diet and Cancer’

Author

Genkinger, J.M., primary, Wu, K., additional, Wang, M., additional, Albanes, D., additional, Black, A., additional, van den Brandt, P.A., additional, Burke, K.A., additional, Cook, M.B., additional, Gapstur, S.M., additional, Giles, G.G., additional, Giovannucci, E., additional, Goodman, G.G., additional, Goodman, P.J., additional, Håkansson, N., additional, Key, T.J., additional, Männistö, S., additional, Le Marchand, L., additional, Liao, L.M., additional, MacInnis, R.J., additional, Neuhouser, M.L., additional, Platz, E.A., additional, Sawada, N., additional, Schenk, J.M., additional, Stevens, V.L., additional, Travis, R.C., additional, Tsugane, S., additional, Visvanathan, K., additional, Wilkens, L.R., additional, Wolk, A., additional, and Smith-Warner, S.A., additional

Published
2021
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28. Lipid trait variants and the risk of non-hodgkin lymphoma subtypes: a mendelian randomization study

Author

Kleinstern, G., Camp, N.J., Berndt, S.I., Birmann, B.M., Nieters, A., Bracci, P.M., McKay, J.D., Ghesquieres, H., Lan, Q., Hjalgrim, H., Benavente, Y., Monnereau, A., Purdue, M.P., Zeleniuch-Jacquotte, A., Giles, G.G., Vermeulen, R., Cocco, P., Albanes, D., Teras, L.R., Brooks-Wilson, A.R., Vajdic, C.M., Kane, E., Caporaso, N.E., Smedby, K.E., Salles, G., Vijai, J., Chanock, S.J., Skibola, C.F., Rothman, N., Slager, S.L., Cerhan, J.R., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2

Abstract

Background: Lipid traits have been inconsistently linked to risk of non-Hodgkin lymphoma (NHL). We examined the association of genetically predicted lipid traits with risk of diffuse large B-cell lymphoma (DLBCL), chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), and marginal zone lymphoma (MZL) using Mendelian randomization (MR) analysis. Methods: Genome-wide association study data from the InterLymph Consortium were available for 2,661 DLBCLs, 2,179 CLLs, 2,142 FLs, 824 MZLs, and 6,221 controls. SNPs associated (P < 5 × 10−8) with high-density lipoprotein (HDL, n = 164), low-density lipoprotein (LDL, n = 137), total cholesterol (TC, n = 161), and triglycerides (TG, n = 123) were used as instrumental variables (IV), explaining 14.6%, 27.7%, 16.8%, and 12.8% of phenotypic variation, respectively. Associations between each lipid trait and NHL subtype were calculated using the MR inverse variance–weighted method, estimating odds ratios (OR) per standard deviation and 95% confidence intervals (CI). Results: HDL was positively associated with DLBCL (OR = 1.14; 95% CI, 1.00–1.30) and MZL (OR = 1.09; 95% CI, 1.01–1.18), while TG was inversely associated with MZL risk (OR = 0.90; 95% CI, 0.83–0.99), all at nominal significance (P < 0.05). A positive trend was observed for HDL with FL risk (OR = 1.08; 95% CI, 0.99–1.19; P = 0.087). No associations were noteworthy after adjusting for multiple testing. Conclusions: We did not find evidence of a clear or strong association of these lipid traits with the most common NHL subtypes. While these IVs have been previously linked to other cancers, our findings do not support any causal associations with these NHL subtypes. Impact: Our results suggest that prior reported inverse associations of lipid traits are not likely to be causal and could represent reverse causality or confounding.

Published
2020

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

Author

Seyed Khoei, N., Jenab, M., Murphy, N., Banbury, B.L., Carreras-Torres, R., Viallon, V., Kühn, T., Bueno-de-Mesquita, B., Aleksandrova, K., Cross, A.J., Weiderpass, E., Stepien, M., Bulmer, A., Tjønneland, A., Boutron-Ruault, M.C., Severi, G., Carbonnel, F., Katzke, V., Boeing, H., Bergmann, M.M., Trichopoulou, A., Karakatsani, A., Martimianaki, G., Palli, D., Tagliabue, G., Panico, S., Tumino, R., Sacerdote, C., Skeie, G., Merino, S., Bonet, C., Rodríguez-Barranco, M., Gil, L., Chirlaque, M.D., Ardanaz, E., Myte, R., Hultdin, J., Perez-Cornago, A., Aune, D., Tsilidis, K.K., Albanes, D., Baron, J.A., Berndt, S.I., Bézieau, S., Brenner, H., Campbell, P.T., Casey, G., Chang-Claude, J., Chanock, S.J., Cotterchio, M., Gallinger, S., Gruber, S.B., Haile, R.W., Hampe, J., Hoffmeister, M., Hopper, J.L., Hsu, L., Huyghe, J.R., Jenkins, M.A., Joshi, A.D., Kampman, E., Larsson, S.C., Le Marchand, L., Li, C.I., Li, L., Lindblom, A., Lindor, N.M., Martín, V., Moreno, V., Newcomb, P.A., Offit, K., Ogino, S., Parfrey, P.S., Pharoah, P.D.P., Rennert, G., Sakoda, L.C., Schafmayer, C., Schmit, S.L., Schoen, R.E., Slattery, M.L., Thibodeau, S.N., Ulrich, C.M., van Duijnhoven, F.J.B., Weigl, K., Weinstein, S.J., White, E., Wolk, A., Woods, M.O., Wu, A.H., Zhang, X., Ferrari, P., Anton, G., Peters, A., Peters, U., Gunter, M.J., Wagner, K.H., and Freisling, H.

Subjects
Bilirubin, Cancer, Colorectal Cancer, Anti-oxidants, Mendelian Randomization Analysis
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 x 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 (P-heterogeneity = 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 mainUGT1A1SNP (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 (P-heterogeneity >= 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

30. Genome-wide gene⇓diabetes and gene⇓obesity interaction scan in 8,255 cases and 11,900 controls from panscan and PanC4 consortia

Author

Tang, H. Jiang, L. Stolzenberg-Solomon, R.Z. Arslan, A.A. Beane Freeman, L.E. Bracci, P.M. Brennan, P. Canzian, F. Du, M. Gallinger, S. Giles, G.G. Goodman, P.J. Kooperberg, C. Le Marchand, L. Neale, R.E. Shu, X.-O. Visvanathan, K. White, E. Zheng, W. Albanes, D. Andreotti, G. Babic, A. Bamlet, W.R. Berndt, S.I. Blackford, A. Bueno-De-Mesquita, B. Buring, J.E. Campa, D. Chanock, S.J. Childs, E. Duell, E.J. Fuchs, C. Michael Gaziano, J. Goggins, M. Hartge, P. Hassam, M.H. Holly, E.A. Hoover, R.N. Hung, R.J. Kurtz, R.C. Lee, I.-M. Malats, N. Milne, R.L. Ng, K. Oberg, A.L. Orlow, I. Peters, U. Porta, M. Rabe, K.G. Rothman, N. Scelo, G. Sesso, H.D. Silverman, D.T. Thompson, I.M. Tjønneland, A. Trichopoulou, A. Wactawski-Wende, J. Wentzensen, N. Wilkens, L.R. Yu, H. Zeleniuch-Jacquotte, A. Amundadottir, L.T. Jacobs, E.J. Petersen, G.M. Wolpin, B.M. Risch, H.A. Chatterjee, N. Klein, A.P. Li, D. Kraft, P. Wei, P.

Abstract

Background: Obesity and diabetes are major modifiable risk factors for pancreatic cancer. Interactions between genetic variants and diabetes/obesity have not previously been comprehensively investigated in pancreatic cancer at the genome-wide level. Methods: We conducted a gene–environment interaction (GxE) analysis including 8,255 cases and 11,900 controls from four pancreatic cancer genome-wide association study (GWAS) datasets (Pancreatic Cancer Cohort Consortium I–III and Pancreatic Cancer Case Control Consortium). Obesity (body mass index ≥30 kg/m2) and diabetes (duration ≥3 years) were the environmental variables of interest. Approximately 870,000 SNPs (minor allele frequency ≥0.005, genotyped in at least one dataset) were analyzed. Case–control (CC), case-only (CO), and joint-effect test methods were used for SNP-level GxE analysis. As a complementary approach, gene-based GxE analysis was also performed. Age, sex, study site, and principal components accounting for population substructure were included as covariates. Meta-analysis was applied to combine individual GWAS summary statistics. Results: No genome-wide significant interactions (departures from a log-additive odds model) with diabetes or obesity were detected at the SNP level by the CC or CO approaches. The joint-effect test detected numerous genome-wide significant GxE signals in the GWAS main effects top hit regions, but the significance diminished after adjusting for the GWAS top hits. In the gene-based analysis, a significant interaction of diabetes with variants in the FAM63A (family with sequence similarity 63 member A) gene (significance threshold P < 1.25 106) was observed in the meta-analysis (PGxE ¼ 1.2 106, PJoint ¼ 4.2 107). Conclusions: This analysis did not find significant GxE interactions at the SNP level but found one significant interaction with diabetes at the gene level. A larger sample size might unveil additional genetic factors via GxE scans. Impact: This study may contribute to discovering the mechanism of diabetes-associated pancreatic cancer. © 2020 American Association for Cancer Research.

Published
2020

31. Inherited variants at 3q13.33 and 3p24.1 are associated with risk of diffuse large B-cell lymphoma and implicate immune pathways

Author

Kleinstern, G., Yan, H., Hildebrandt, M.A.T., Vijai, J., Berndt, S.I., Ghesquières, H., McKay, J., Nieters, A., Ye, Y., Monnereau, A., Brooks-Wilson, A.R., Lan, Q., Melbye, M., Jackson, R.D., Teras, L.R., Purdue, M.P., Vajdic, C.M., Vermeulen, R.C.H., Giles, G.G., Cocco, P.L., Birmann, B.M., Kraft, P., Albanes, D., Zeleniuch-Jacquotte, A., Crouch, S., Sarangi, V., Asmann, Y., Offit, K., Salles, G., Smedby, K.E., Skibola, C.F., Slager, S.L., Rothman, N., Chanock, S.J., Cerhan, J.R., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2

Abstract

We previously identified five single nucleotide polymorphisms (SNPs) at four susceptibility loci for diffuse large B-cell lymphoma (DLBCL) in individuals of European ancestry through a large genome-wide association study (GWAS). To further elucidate genetic susceptibility to DLBCL, we sought to validate two loci at 3q13.33 and 3p24.1 that were suggestive in the original GWAS with additional genotyping. In the meta-analysis (5662 cases and 9237 controls) of the four original GWAS discovery scans and three replication studies, the 3q13.33 locus (rs9831894; minor allele frequency [MAF] = 0.40) was associated with DLBCL risk [odds ratio (OR) = 0.83, P = 3.62 × 10−13]. rs9831894 is in linkage disequilibrium (LD) with additional variants that are part of a super-enhancer that physically interacts with promoters of CD86 and ILDR1. In the meta-analysis (5510 cases and 12 817 controls) of the four GWAS discovery scans and four replication studies, the 3p24.1 locus (rs6773363; MAF = 0.45) was also associated with DLBCL risk (OR = 1.20, P = 2.31 × 10−12). This SNP is 29 426-bp upstream of the nearest gene EOMES and in LD with additional SNPs that are part of a highly lineage-specific and tumor-acquired super-enhancer that shows long-range interaction with AZI2 promoter. These loci provide additional evidence for the role of immune function in the etiology of DLBCL, the most common lymphoma subtype.

Published
2020

32. Circulating bilirubin levels and risk of colorectal cancer: Serological and Mendelian randomization analyses

Author

Seyed Khoei, N. Jenab, M. Murphy, N. Banbury, B.L. Carreras-Torres, R. Viallon, V. Kühn, T. Bueno-De-Mesquita, B. Aleksandrova, K. Cross, A.J. Weiderpass, E. Stepien, M. Bulmer, A. Tjønneland, A. Boutron-Ruault, M.-C. Severi, G. Carbonnel, F. Katzke, V. Boeing, H. Bergmann, M.M. Trichopoulou, A. Karakatsani, A. Martimianaki, G. Palli, D. Tagliabue, G. Panico, S. Tumino, R. Sacerdote, C. Skeie, G. Merino, S. Bonet, C. Rodríguez-Barranco, M. Gil, L. Chirlaque, M.-D. Ardanaz, E. Myte, R. Hultdin, J. Perez-Cornago, A. Aune, D. Tsilidis, K.K. Albanes, D. Baron, J.A. Berndt, S.I. Bézieau, S. Brenner, H. Campbell, P.T. Casey, G. Chan, A.T. Chang-Claude, J. Chanock, S.J. Cotterchio, M. Gallinger, S. Gruber, S.B. Haile, R.W. Hampe, J. Hoffmeister, M. Hopper, J.L. Hsu, L. Huyghe, J.R. Jenkins, M.A. Joshi, A.D. Kampman, E. Larsson, S.C. Le Marchand, L. Li, C.I. Li, L. Lindblom, A. Lindor, N.M. Martín, V. Moreno, V. Newcomb, P.A. Offit, K. Ogino, S. Parfrey, P.S. Pharoah, P.D.P. Rennert, G. Sakoda, L.C. Schafmayer, C. Schmit, S.L. Schoen, R.E. Slattery, M.L. Thibodeau, S.N. Ulrich, C.M. Van Duijnhoven, F.J.B. Weigl, K. Weinstein, S.J. White, E. Wolk, A. Woods, M.O. Wu, A.H. Zhang, X. Ferrari, P. Anton, G. Peters, A. Peters, U. Gunter, M.J. Wagner, K.-H. Freisling, H.

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 (P heterogeneity = 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 (P heterogeneity ≥ 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. © 2020 The Author(s).

Published
2020

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

Author

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

Subjects
follicular lymphoma, non-Hodgkin lymphoma, polygenic risk score, diffuse large B-celllymphoma, chronic lymphocytic leukemia, genetics, marginal zone lymphoma, height
Abstract

Although the evidence is not consistent, epidemiologic studies have suggested that taller adult height may be associated with an increased risk of some non-Hodgkin lymphoma (NHL) subtypes. Height is largely determined by genetic factors, but how these genetic factors may contribute to NHL risk is unknown. We investigated the relationship between genetic determinants of height and NHL risk using data from eight genome-wide association studies (GWAS) comprising 10,629 NHL cases, including 3,857 diffuse large B-cell lymphoma (DLBCL), 2,847 follicular lymphoma (FL), 3,100 chronic lymphocytic leukemia (CLL), and 825 marginal zone lymphoma (MZL) cases, and 9,505 controls of European ancestry. We evaluated genetically predicted height by constructing polygenic risk scores using 833 height-associated SNPs. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between genetically determined height and the risk of four NHL subtypes in each GWAS and then used fixed-effect meta-analysis to combine subtype results across studies. We found suggestive evidence between taller genetically determined height and increased CLL risk (OR = 1.08, 95% CI = 1.00–1.17, p = 0.049), which was slightly stronger among women (OR = 1.15, 95% CI: 1.01–1.31, p = 0.036). No significant associations were observed with DLBCL, FL, or MZL. Our findings suggest that there may be some shared genetic factors between CLL and height, but other endogenous or environmental factors may underlie reported epidemiologic height associations with other subtypes.

Published
2020

35. Erratum to: Germline variation at 8q24 and prostate cancer risk in men of European ancestry (Nature Communications, (2018), 9, 1, (4616), 10.1038/s41467-018-06863-1)

Author

Matejcic, M, Saunders, EJ, Dadaev, T, Brook, MN, Wang, K, Sheng, X, Olama, AAA, Schumacher, FR, Ingles, SA, Govindasami, K, Benlloch, S, Berndt, SI, Albanes, D, Koutros, S, Muir, K, Stevens, VL, Gapstur, SM, Tangen, CM, Batra, J, Clements, J, Gronberg, H, Pashayan, N, Schleutker, J, Wolk, A, West, C, Mucci, L, Kraft, P, Cancel-Tassin, G, Sorensen, KD, Maehle, L, Grindedal, EM, Strom, SS, Neal, DE, Hamdy, FC, Donovan, JL, Travis, RC, Hamilton, RJ, Rosenstein, B, Lu, YJ, Giles, GG, Kibel, AS, Vega, A, Bensen, JT, Kogevinas, M, Penney, KL, Park, JY, Stanford, JL, Cybulski, C, Nordestgaard, BG, Brenner, H, Maier, C, Kim, J, Teixeira, MR, Neuhausen, SL, De Ruyck, K, Razack, A, Newcomb, LF, Lessel, D, Kaneva, R, Usmani, N, Claessens, F, Townsend, PA, Gago-Dominguez, M, Roobol, MJ, Menegaux, F, Khaw, KT, Cannon-Albright, LA, Pandha, H, Thibodeau, SN, Schaid, DJ, Henderson, BE, Stern, MC, Thwaites, A, Guy, M, Whitmore, I, Morgan, A, Fisher, C, Hazel, S, Livni, N, Cook, M, Fachal, L, Weinstein, S, Beane Freeman, LE, Hoover, RN, Machiela, MJ, Lophatananon, A, Carter, BD, Goodman, P, Moya, L, Srinivasan, S, Kedda, MA, Yeadon, T, Eckert, A, Eklund, M, Cavalli-Bjoerkman, C, Dunning, AM, Sipeky, C, Hakansson, N, Elliott, R, and Ranu, H

Abstract

© 2019, The Author(s). The original version of this Article contained an error in the spelling of the author Manuela Gago-Dominguez, which was incorrectly given as Manuela G. Dominguez. This has now been corrected in both the PDF and HTML versions of the Article.

Published
2019

39. Dietary and serum [alpha]-tocopherol, [beta]-carotene and retinol, and risk for colorectal cancer in male smokers

Author

Malila, N., Virtamo, J., Virtanen, M., Pietinen, P., Albanes, D., and Teppo, L.

Subjects
World Health Organization, Smokers -- Diseases, Colorectal cancer -- Risk factors, Smoking -- Risk factors, Cancer -- Research, Cancer -- Prevention, Chromophores, Retinoids, Oncology, Experimental, Phytochemicals, Beta carotene, Vitamin E, Lycopene
Abstract

Objective: To study the association between dietary and serum antioxidant vitamins and carotenoids and risk for colorectal cancer in male smokers. Design: A prospective cohort study within a randomised, double-blind, placebo-controlled trial testing supplementation with [alpha]-tocopherol (50 mg/day), [beta]-carotene (20 mg/day) or both in preventing cancer. Subjects and methods: Participants of the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study with complete dietary data and serum samples available from baseline. These included 26 951 middle-aged male smokers among whom 184 colorectal cancer cases were diagnosed during 8y of follow-up. Relative risks were calculated with Cox proportional hazards models adjusting for trial supplementation, age, body mass index, serum cholesterol, cigarettes smoked per day and physical activity. Results: There was no significant association between dietary vitamin C or E, [alpha] -or [gamma]-tocopherol, retinol, [alpha]- or [beta]-carotene, lycopene or lutein +zeaxanthin and risk for colorectal cancer. Serum [alpha] -tocopherol, [beta] -carotene or retinol was also not associated with the risk, neither did the season when baseline blood was drawn modify the relationship between serum [beta] -carotene and colorectal cancer risk. Conclusions: Our data support the results from previous studies in which no association between dietary antioxidant vitamins and carotenoids and risk for colorectal cancer has been observed. Likewise, no association between baseline serum antioxidant concentrations and colorectal cancer risk was evident. Sponsorship: The Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study was supported by a contract with the US National Cancer Institute (N01-CN-45165). doi:10.1038/sj.ejcn.1601366 Keywords: colorectal neoplasms; antioxidants; diet; plasma; vitamin E; [beta]-carotene; cohort studies, Introduction There are over 850 000 new cases of colorectal cancer annually, worldwide (Cannon, 1997). The incidence of colon cancer is similar in both men and women, but rectum cancer [...]

Published
2002

40. Measures of body fatness and height in early and mid-to-late adulthood and prostate cancer: risk and mortality in The Pooling Project of Prospective Studies of Diet and Cancer

Author

Genkinger, J.M., primary, Wu, K., additional, Wang, M., additional, Albanes, D., additional, Black, A., additional, van den Brandt, P.A., additional, Burke, K.A., additional, Cook, M.B., additional, Gapstur, S.M., additional, Giles, G.G., additional, Giovannucci, E., additional, Goodman, G.G., additional, Goodman, P.J., additional, Håkansson, N., additional, Key, T.J., additional, Männistö, S., additional, Le Marchand, L., additional, Liao, L.M., additional, MacInnis, R.J., additional, Neuhouser, M.L., additional, Platz, E.A., additional, Sawada, N., additional, Schenk, J.M., additional, Stevens, V.L., additional, Travis, R.C., additional, Tsugane, S., additional, Visvanathan, K., additional, Wilkens, L.R., additional, Wolk, A., additional, and Smith-Warner, S.A., additional

Published
2020
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44. Shared heritability and functional enrichment across six solid cancers (vol 10, 431, 2019)

Author

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

Published
2019

45. Correction to: Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci (Nature Genetics, (2018), 50, 7, (928-936), 10.1038/s41588-018-0142-8)

Author

Schumacher, FR, Olama, AAA, Berndt, SI, Benlloch, S, Ahmed, M, Saunders, EJ, Dadaev, T, Leongamornlert, D, Anokian, E, Cieza-Borrella, C, Goh, C, Brook, MN, Sheng, X, Fachal, L, Dennis, J, Tyrer, J, Muir, K, Lophatananon, A, Stevens, VL, Gapstur, SM, Carter, BD, Tangen, CM, Goodman, PJ, Thompson, IM, Batra, J, Chambers, S, Moya, L, Clements, J, Horvath, L, Tilley, W, Risbridger, GP, Gronberg, H, Aly, M, Nordström, T, Pharoah, P, Pashayan, N, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Albanes, D, Weinstein, S, Wolk, A, Håkansson, N, West, CML, Dunning, AM, Burnet, N, Mucci, LA, Giovannucci, E, Andriole, GL, Cussenot, O, Cancel-Tassin, G, Koutros, S, Beane Freeman, LE, Sorensen, KD, Orntoft, TF, Borre, M, Maehle, L, Grindedal, EM, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Travis, RC, Key, TJ, Hamilton, RJ, Fleshner, NE, Finelli, A, Ingles, SA, Stern, MC, Rosenstein, BS, Kerns, SL, Ostrer, H, Lu, YJ, Zhang, HW, Feng, N, Mao, X, Guo, X, Wang, G, Sun, Z, Giles, GG, Southey, MC, MacInnis, RJ, FitzGerald, LM, Kibel, AS, Drake, BF, Vega, A, Gómez-Caamaño, A, Szulkin, R, Eklund, M, Kogevinas, M, Llorca, J, Castaño-Vinyals, G, Penney, KL, Stampfer, M, Park, JY, Sellers, TA, Lin, HY, Stanford, JL, and Cybulski, C

Subjects
Developmental Biology
Abstract

© 2018, The Author(s), under exclusive licence to Springer Nature America, Inc. In the version of this article initially published, the name of author Manuela Gago-Dominguez was misspelled as Manuela Gago Dominguez. The error has been corrected in the HTML and PDF version of the article.

Published
2019

46. Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer

Author

Bien, S.A. Su, Y.-R. Conti, D.V. Harrison, T.A. Qu, C. Guo, X. Lu, Y. Albanes, D. Auer, P.L. Banbury, B.L. Berndt, S.I. Bézieau, S. Brenner, H. Buchanan, D.D. Caan, B.J. Campbell, P.T. Carlson, C.S. Chan, A.T. Chang-Claude, J. Chen, S. Connolly, C.M. Easton, D.F. Feskens, E.J.M. Gallinger, S. Giles, G.G. Gunter, M.J. Hampe, J. Huyghe, J.R. Hoffmeister, M. Hudson, T.J. Jacobs, E.J. Jenkins, M.A. Kampman, E. Kang, H.M. Kühn, T. Küry, S. Lejbkowicz, F. Le Marchand, L. Milne, R.L. Li, L. Li, C.I. Lindblom, A. Lindor, N.M. Martín, V. McNeil, C.E. Melas, M. Moreno, V. Newcomb, P.A. Offit, K. Pharaoh, P.D.P. Potter, J.D. Qu, C. Riboli, E. Rennert, G. Sala, N. Schafmayer, C. Scacheri, P.C. Schmit, S.L. Severi, G. Slattery, M.L. Smith, J.D. Trichopoulou, A. Tumino, R. Ulrich, C.M. van Duijnhoven, F.J.B. Van Guelpen, B. Weinstein, S.J. White, E. Wolk, A. Woods, M.O. Wu, A.H. Abecasis, G.R. Casey, G. Nickerson, D.A. Gruber, S.B. Hsu, L. Zheng, W. Peters, U.

Abstract

Genome-wide association studies have reported 56 independently associated colorectal cancer (CRC) risk variants, most of which are non-coding and believed to exert their effects by modulating gene expression. The computational method PrediXcan uses cis-regulatory variant predictors to impute expression and perform gene-level association tests in GWAS without directly measured transcriptomes. In this study, we used reference datasets from colon (n = 169) and whole blood (n = 922) transcriptomes to test CRC association with genetically determined expression levels in a genome-wide analysis of 12,186 cases and 14,718 controls. Three novel associations were discovered from colon transverse models at FDR ≤ 0.2 and further evaluated in an independent replication including 32,825 cases and 39,933 controls. After adjusting for multiple comparisons, we found statistically significant associations using colon transcriptome models with TRIM4 (discovery P = 2.2 × 10− 4, replication P = 0.01), and PYGL (discovery P = 2.3 × 10− 4, replication P = 6.7 × 10− 4). Interestingly, both genes encode proteins that influence redox homeostasis and are related to cellular metabolic reprogramming in tumors, implicating a novel CRC pathway linked to cell growth and proliferation. Defining CRC risk regions as one megabase up- and downstream of one of the 56 independent risk variants, we defined 44 non-overlapping CRC-risk regions. Among these risk regions, we identified genes associated with CRC (P < 0.05) in 34/44 CRC-risk regions. Importantly, CRC association was found for two genes in the previously reported 2q25 locus, CXCR1 and CXCR2, which are potential cancer therapeutic targets. These findings provide strong candidate genes to prioritize for subsequent laboratory follow-up of GWAS loci. This study is the first to implement PrediXcan in a large colorectal cancer study and findings highlight the utility of integrating transcriptome data in GWAS for discovery of, and biological insight into, risk loci. © 2019, The Author(s).

Published
2019

47. Germline variation at 8q24 and prostate cancer risk in men of European ancestry (vol 9, 4616, 2018)

Author

Matejcic, M, Saunders, EJ, Dadaev, T, Brook, MN, Wang, K, Sheng, X, Al Olama, AA, Schumacher, FR, Ingles, SA, Govindasami, K, Benlloch, S, Berndt, SI, Albanes, D, Koutros, S, Muir, K, Stevens, VL, Gapstur, SM, Tangen, CM, Batra, J, Clements, J, Gronberg, H, Pashayan, N, Schleutker, J, Wolk, A, West, C, Mucci, L, Kraft, P, Cancel-Tassin, G, Sorensen, KD, Maehle, L, Grindedal, EM, Strom, SS, Neal, DE, Hamdy, FC, Donovan, JL, Travis, RC, Hamilton, RJ, Rosenstein, B, Lu, Y-J, Giles, GG, Kibel, AS, Vega, A, Bensen, JT, Kogevinas, M, Penney, KL, Park, JY, Stanford, JL, Cybulski, C, Nordestgaard, BG, Brenner, H, Maier, C, Kim, J, Teixeira, MR, Neuhausen, SL, De Ruyck, K, Razack, A, Newcomb, LF, Lessel, D, Kaneva, R, Usmani, N, Claessens, F, Townsend, PA, Gago-Dominguez, M, Roobol, MJ, Menegaux, F, Khaw, K-T, Cannon-Albright, LA, Pandha, H, Thibodeau, SN, Schaid, DJ, Wiklund, F, Chanock, SJ, Easton, DF, Eeles, RA, Kote-Jarai, Z, Conti, DV, Haiman, CA, Henderson, BE, Stern, MC, Thwaites, A, Guy, M, Whitmore, I, Morgan, A, Fisher, C, Hazel, S, Livni, N, Cook, M, Fachal, L, Weinstein, S, Freeman, LEB, Hoover, RN, Machiela, MJ, Lophatananon, A, Carter, BD, Goodman, P, Moya, L, Srinivasan, S, Kedda, M-A, Yeadon, T, Eckert, A, Eklund, M, Cavalli-Bjoerkman, C, Dunning, AM, Sipeky, C, Hakansson, N, Elliott, R, Ranu, H, Giovannucci, E, Turman, C, Hunter, DJ, Cussenot, O, Orntoft, TF, Lane, A, Lewis, SJ, Davis, M, Key, TJ, Brown, P, Kulkarni, GS, Zlotta, AR, Fleshner, NE, Finelli, A, Mao, X, Marzec, J, MacInnis, RJ, Milne, R, Hopper, JL, Aguado, M, Bustamante, M, Castano-Vinyals, G, Gracia-Lavedan, E, Cecchini, L, Stampfer, M, Ma, J, Sellers, TA, Geybels, MS, Park, H, Zachariah, B, Kolb, S, Wokolorczyk, D, Lubinski, J, Kluzniak, W, Nielsen, SF, Weisher, M, Cuk, K, Vogel, W, Luedeke, M, Logothetis, CJ, Paulo, P, Cardoso, M, Maia, S, Silva, MP, Steele, L, Ding, YC, De Meerleer, G, De Langhe, S, Thierens, H, Lim, J, Tan, MH, Ong, AT, Lin, DW, Kachakova, D, Mitkova, A, Mitev, V, Parliament, M, Jenster, G, Bangma, C, Schroder, FH, Truong, T, Koudou, YA, Michael, A, Kierzek, A, Karlsson, A, Broms, M, Wu, H, Aukim-Hastie, C, Tillmans, L, Riska, S, McDonnell, SK, Dearnaley, D, Spurdle, A, Gardiner, R, Hayes, V, Butler, L, Taylor, R, Papargiris, M, Saunders, P, Kujala, P, Talala, K, Taari, K, Bentzen, S, Hicks, B, Vogt, A, Hutchinson, A, Cox, A, George, A, Toi, A, Evans, A, Van der Kwast, TH, Imai, T, Saito, S, Zhao, S-C, Ren, G, Zhang, Y, Yu, Y, Wu, Y, Wu, J, Zhou, B, Pedersen, J, Lobato-Busto, R, Manuel Ruiz-Dominguez, J, Mengual, L, Alcaraz, A, Pow-Sang, J, Herkommer, K, Vlahova, A, Dikov, T, Christova, S, Carracedo, A, Tretarre, B, Rebillard, X, Mulot, C, Adolfsson, J, Stattin, P, Johansson, J-E, Martin, RM, Thompson, IM, Chambers, S, Aitken, J, Horvath, L, Haynes, A-M, Tilley, W, Risbridger, G, Aly, M, Nordstrom, T, Pharoah, P, Tammela, TLJ, Murtola, T, Auvinen, A, Burnet, N, Barnett, G, Andriole, G, Klim, A, Drake, BF, Borre, M, Kerns, S, Ostrer, H, Zhang, H-W, Cao, G, Lin, J, Ling, J, Li, M, Feng, N, Li, J, He, W, Guo, X, Sun, Z, Wang, G, Guo, J, Southey, MC, FitzGerald, LM, Marsden, G, Gomez-Caamano, A, Carballo, A, Peleteiro, P, Calvo, P, Szulkin, R, Llorca, J, Dierssen-Sotos, T, Gomez-Acebo, I, Lin, H-Y, Ostrander, EA, Bisbjerg, R, Klarskov, P, Roder, MA, Iversen, P, Holleczek, B, Stegmaier, C, Schnoeller, T, Bohnert, P, John, EM, Ost, P, Teo, S-H, Gamulin, M, Kulis, T, Kastelan, Z, Slavov, C, Popov, E, Van den Broeck, T, Joniau, S, Larkin, S, Esteban Castelao, J, Martinez, ME, Van Schaik, RHN, Xu, J, Lindstrom, S, Riboli, E, Berry, C, Siddiq, A, Canzian, F, Kolonel, LN, Le Marchand, L, Freedman, M, Cenee, S, Sanchez, M, and Commission of the European Communities

Subjects
Multidisciplinary Sciences, Science & Technology, MD Multidisciplinary, Science & Technology - Other Topics, PRACTICAL Consortium
Abstract

Correction to: Nature Communications; https://doi.org/10.1038/s41467-018-06863-1, published online 5 November 2018.

Published
2019

48. Mendelian Randomization and mediation analysis of leukocyte telomere length and risk of lung and head and neck cancers

Author

Kachuri, L. Saarela, O. Bojesen, S.E. Davey Smith, G. Liu, G. Landi, M.T. Caporaso, N.E. Christiani, D.C. Johansson, M. Panico, S. Overvad, K. Trichopoulou, A. Vineis, P. Scelo, G. Zaridze, D. Wu, X. Albanes, D. Diergaarde, B. Lagiou, P. Macfarlane, G.J. Aldrich, M.C. Tardón, A. Rennert, G. Olshan, A.F. Weissler, M.C. Chen, C. Goodman, G.E. Doherty, J.A. Ness, A.R. Bickeböller, H. Wichmann, H.-E. Risch, A. Field, J.K. Teare, M.D. Kiemeney, L.A. Van Der Heijden, E.H.F.M. Carroll, J.C. Haugen, A. Zienolddiny, S. Skaug, V. Wünsch-Filho, V. Tajara, E.H. Ayoub Moysés, R. Daumas Nunes, F. Lam, S. Eluf-Neto, J. Lacko, M. Peters, W.H.M. Le Marchand, L. Duell, E.J. Andrew, A.S. Franceschi, S. Schabath, M.B. Manjer, J. Arnold, S. Lazarus, P. Mukeriya, A. Swiatkowska, B. Janout, V. Holcatova, I. Stojsic, J. Mates, D. Lissowska, J. Boccia, S. Lesseur, C. Zong, X. McKay, J.D. Brennan, P. Amos, C.I. Hung, R.J.

Abstract

Background: Evidence from observational studies of telomere length (TL) has been conflicting regarding its direction of association with cancer risk. We investigated the causal relevance of TL for lung and head and neck cancers using Mendelian Randomization (MR) and mediation analyses. Methods: We developed a novel genetic instrument for TL in chromosome 5p15.33, using variants identified through deep-sequencing, that were genotyped in 2051 cancer-free subjects. Next, we conducted an MR analysis of lung (16 396 cases, 13 013 controls) and head and neck cancer (4415 cases, 5013 controls) using eight genetic instruments for TL. Lastly, the 5p15.33 instrument and distinct 5p15.33 lung cancer risk loci were evaluated using two-sample mediation analysis, to quantify their direct and indirect, telomere-mediated, effects. Results: The multi-allelic 5p15.33 instrument explained 1.49-2.00% of TL variation in our data (p = 2.6 × 10-9). The MR analysis estimated that a 1000 base-pair increase in TL increases risk of lung cancer [odds ratio (OR) = 1.41, 95% confidence interval (CI): 1.20-1.65] and lung adenocarcinoma (OR = 1.92, 95% CI: 1.51-2.22), but not squamous lung carcinoma (OR = 1.04, 95% CI: 0.83-1.29) or head and neck cancers (OR = 0.90, 95% CI: 0.70-1.05). Mediation analysis of the 5p15.33 instrument indicated an absence of direct effects on lung cancer risk (OR = 1.00, 95% CI: 0.95-1.04). Analysis of distinct 5p15.33 susceptibility variants estimated that TL mediates up to 40% of the observed associations with lung cancer risk. Conclusions: Our findings support a causal role for long telomeres in lung cancer aetiology, particularly for adenocarcinoma, and demonstrate that telomere maintenance partially mediates the lung cancer susceptibility conferred by 5p15.33 loci. © 2018 The Author(s) 2018; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

Published
2019

49. 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, EL, Perez-Cornago, A, Appleby, PN, Albanes, D, Ardanaz, E, Black, A, Bueno-De-Mesquita, HB, Chan, JM, Chen, C, Chubb, SAP, Cook, MB, Deschasaux, M, Donovan, JL, English, DR, Flicker, L, Freedman, ND, Galan, P, Giles, GG, Giovannucci, EL, Gunter, MJ, Habel, LA, Häggström, C, Haiman, C, Hamdy, FC, Hercberg, S, Holly, JM, Huang, J, Huang, W-Y, Johansson, M, Kaaks, R, Kubo, T, Lane, JA, Layne, TM, Le Marchand, L, Martin, RM, Metter, EJ, Mikami, K, Milne, RL, Morris, HA, Mucci, LA, Neal, DE, Neuhouser, ML, Oliver, SE, Overvad, K, Ozasa, K, Pala, V, Pernar, CH, Pollak, M, Rowlands, M-A, Schaefer, CA, Schenk, JM, Stattin, P, Tamakoshi, A, Thysell, E, Touvier, M, Trichopoulou, A, Tsilidis, KK, Van Den Eeden, SK, Weinstein, SJ, Wilkens, L, Yeap, BB, Key, TJ, Allen, NE, Travis, RC, Nuffield Department of Population Health [Oxford], University of Oxford [Oxford], National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Public Health Institute of Navarra, 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), The University of Western Australia (UWA), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Paris 13 (UP13)-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), University of Bristol [Bristol], Melbourne School of Population and Global Health [Melbourne], University of Melbourne, Harvard T.H. Chan School of Public Health, Harvard Medical School [Boston] (HMS), Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Kaiser Permanente, Umeå University, Keck School of Medicine [Los Angeles], University of Southern California (USC), Nuffield (Nuffield), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), University of Occupational and Environmental Health [Kitakyushu] (UEOH), Icahn School of Medicine at Mount Sinai [New York] (MSSM), University of Hawai'i [Honolulu] (UH), The University of Tennessee Health Science Center [Memphis] (UTHSC), Japanese Red Cross Kyoto Daiichi Hospital, SA Pathology [Adelaide, SA, Australia], University of York [York, UK], Aarhus University [Aarhus], Radiation Effects Research Foundation, Fondazione IRCCS Istituto Nazionale Tumori - National Cancer Institute [Milan], McGill University = Université McGill [Montréal, Canada], Uppsala Universitet [Uppsala], Hokkaido University [Sapporo, Japan], Hellenic Health Foundation, Imperial College London, University of Ioannina, Deschasaux-Tanguy, Mélanie, 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 Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Male, Aging, Neoplasms, 80 and over, Prospective Studies, Insulin-Like Growth Factor I, POPULATION, Cancer, Aged, 80 and over, INSULIN-RESISTANCE, Tumor, Anthropometry, CARDIOVASCULAR RISK, SERUM-LEVELS, Middle Aged, Insulin-Like Growth Factor Binding Proteins, Oncology, Centre for Surgical Research, IGFBPs, ICEP, pooled analysis, Life Sciences & Biomedicine, Cancer Epidemiology, hormones, hormone substitutes, and hormone antagonists, Adult, Urologic Diseases, FACTOR-BINDING-PROTEIN, PROSTATE-CANCER RISK, Oncology and Carcinogenesis, and over, Young Adult, HORMONE, Insulin-Like Growth Factor II, GROWTH-FACTOR-I, Biomarkers, Tumor, Humans, 1112 Oncology and Carcinogenesis, Oncology & Carcinogenesis, METAANALYSIS, Aged, IGFs, Cancer och onkologi, Science & Technology, correlates, BODY-MASS INDEX, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, Cross-Sectional Studies, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Cancer and Oncology, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, Biomarkers
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., What's new? In many cancers, evidence points to insulin‐like growth factors and their associated binding proteins as a possible culprit. This study investigated how IGF and IGF binding proteins correlate with various other cancer‐associated factors. The authors obtained data from 16,000 cancer‐free males ranging in age from 22 to 89 years. Their analysis confirmed associations between circulating IGFs and IGFBPs and age, race/ethnicity and BMI. They also uncovered some new associations, including with height, drinking alcohol and smoking. IGFs and their binding proteins, they suggest, may be part of the mechanism by which these factors influence cancer risk.

Published
2019

50. Discovery of common and rare genetic risk variants for colorectal cancer

Author

Huyghe, J.R. Bien, S.A. Harrison, T.A. Kang, H.M. Chen, S. Schmit, S.L. Conti, D.V. Qu, C. Jeon, J. Edlund, C.K. Greenside, P. Wainberg, M. Schumacher, F.R. Smith, J.D. Levine, D.M. Nelson, S.C. Sinnott-Armstrong, N.A. Albanes, D. Alonso, M.H. Anderson, K. Arnau-Collell, C. Arndt, V. Bamia, C. Banbury, B.L. Baron, J.A. Berndt, S.I. Bézieau, S. Bishop, D.T. Boehm, J. Boeing, H. Brenner, H. Brezina, S. Buch, S. Buchanan, D.D. Burnett-Hartman, A. Butterbach, K. Caan, B.J. Campbell, P.T. Carlson, C.S. Castellví-Bel, S. Chan, A.T. Chang-Claude, J. Chanock, S.J. Chirlaque, M.-D. Cho, S.H. Connolly, C.M. Cross, A.J. Cuk, K. Curtis, K.R. de la Chapelle, A. Doheny, K.F. Duggan, D. Easton, D.F. Elias, S.G. Elliott, F. English, D.R. Feskens, E.J.M. Figueiredo, J.C. Fischer, R. FitzGerald, L.M. Forman, D. Gala, M. Gallinger, S. Gauderman, W.J. Giles, G.G. Gillanders, E. Gong, J. Goodman, P.J. Grady, W.M. Grove, J.S. Gsur, A. Gunter, M.J. Haile, R.W. Hampe, J. Hampel, H. Harlid, S. Hayes, R.B. Hofer, P. Hoffmeister, M. Hopper, J.L. Hsu, W.-L. Huang, W.-Y. Hudson, T.J. Hunter, D.J. Ibañez-Sanz, G. Idos, G.E. Ingersoll, R. Jackson, R.D. Jacobs, E.J. Jenkins, M.A. Joshi, A.D. Joshu, C.E. Keku, T.O. Key, T.J. Kim, H.R. Kobayashi, E. Kolonel, L.N. Kooperberg, C. Kühn, T. Küry, S. Kweon, S.-S. Larsson, S.C. Laurie, C.A. Le Marchand, L. Leal, S.M. Lee, S.C. Lejbkowicz, F. Lemire, M. Li, C.I. Li, L. Lieb, W. Lin, Y. Lindblom, A. Lindor, N.M. Ling, H. Louie, T.L. Männistö, S. Markowitz, S.D. Martín, V. Masala, G. McNeil, C.E. Melas, M. Milne, R.L. Moreno, L. Murphy, N. Myte, R. Naccarati, A. Newcomb, P.A. Offit, K. Ogino, S. Onland-Moret, N.C. Pardini, B. Parfrey, P.S. Pearlman, R. Perduca, V. Pharoah, P.D.P. Pinchev, M. Platz, E.A. Prentice, R.L. Pugh, E. Raskin, L. Rennert, G. Rennert, H.S. Riboli, E. Rodríguez-Barranco, M. Romm, J. Sakoda, L.C. Schafmayer, C. Schoen, R.E. Seminara, D. Shah, M. Shelford, T. Shin, M.-H. Shulman, K. Sieri, S. Slattery, M.L. Southey, M.C. Stadler, Z.K. Stegmaier, C. Su, Y.-R. Tangen, C.M. Thibodeau, S.N. Thomas, D.C. Thomas, S.S. Toland, A.E. Trichopoulou, A. Ulrich, C.M. Van Den Berg, D.J. van Duijnhoven, F.J.B. Van Guelpen, B. van Kranen, H. Vijai, J. Visvanathan, K. Vodicka, P. Vodickova, L. Vymetalkova, V. Weigl, K. Weinstein, S.J. White, E. Win, A.K. Wolf, C.R. Wolk, A. Woods, M.O. Wu, A.H. Zaidi, S.H. Zanke, B.W. Zhang, Q. Zheng, W. Scacheri, P.C. Potter, J.D. Bassik, M.C. Kundaje, A. Casey, G. Moreno, V. Abecasis, G.R. Nickerson, D.A. Gruber, S.B. Hsu, L. Peters, U.

Abstract

To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10 −8 , bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development. © 2018, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Published
2019

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