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1. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

Author

Zhan, H.Y., Ahearn, T.U., Lecarpentier, J., Barnes, D., Beesley, J., Qi, G.H., Jiang, X., O'Mara, T.A., Zhao, N., Bolla, M.K., Dunning, A.M., Dennis, J., Wang, Q., Abu Ful, Z., Aittomaki, K., Andrulis, I.L., Anton-Culver, H., Arndt, V., Aronson, K.J., Arun, B.K., Auer, P.L., Azzollini, J., Barrowdale, D., Becher, H., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bialkowska, K., Blanco, A., Blomqvist, C., Bogdanova, N.V., Bojesen, S.E., Bonanni, B., Bondavalli, D., Borg, A., Brauch, H., Brenner, H., Briceno, I., Broeks, A., Brucker, S.Y., Bruning, T., Burwinkel, B., Buys, S.S., Byers, H., Caldes, T., Caligo, M.A., Calvello, M., Campa, D., Castelao, J.E., Chang-Claude, J., Chanock, S.J., Christiaens, M., Christiansen, H., Chung, W.K., Claes, K.B.M., Clarke, C.L., Cornelissen, S., Couch, F.J., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Diez, O., Domchek, S.M., Dork, T., Dwek, M., Eccles, D.M., Ekici, A.B., Evans, D.G., Fasching, P.A., Figueroa, J., Foretova, L., Fostira, F., Friedman, E., Frost, D., Gago-Dominguez, M., Gapstur, S.M., Garber, J., Garcia-Saenz, J.A., Gaudet, M.M., Gayther, S.A., Giles, G.G., Godwin, A.K., Goldberg, M.S., Goldgar, D.E., Gonzalez-Neira, A., Greene, M.H., Gronwald, J., Guenel, P., Haberle, L., Hahnen, E., Haiman, C.A., Hake, C.R., Hall, P., Hamann, U., Harkness, E.F., Heemskerk-Gerritsen, B.A.M., Hillemanns, P., Hogervorst, F.B.L., Holleczek, B., Hollestelle, A., Hooning, M.J., Hoover, R.N., Hopper, J.L., Howell, A., Huebner, H., Hulick, P.J., Imyanitov, E.N., Isaacs, C., Izatt, L., Jager, A., Jakimovska, M., Jakubowska, A., James, P., Janavicius, R., Janni, W., John, E.M., Jones, M.E., Jung, A., Kaaks, R., Kapoor, P.M., Karlan, B.Y., Keeman, R., Khan, S., Khusnutdinova, E., Kitahara, C.M., Ko, Y.D., Konstantopoulou, I., Koppert, L.B., Koutros, S., Kristensen, V.N., Laenkholm, A.V., Lambrechts, D., Larsson, S.C., Laurent-Puig, P., Lazaro, C., Lazarova, E., Lejbkowicz, F., Leslie, G., Lesueur, F., Lindblom, A., Lissowska, J., W.Y. lo, Loud, J.T., Lubinski, J., Lukomska, A., MacInnis, R.J., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Matricardi, L., McGuffog, L., McLean, C., Mebirouk, N., Meindl, A., Menon, U., Miller, A., Mingazheva, E., Montagna, M., Mulligan, A.M., Mulot, C., Muranen, T.A., Nathanson, K.L., Neuhausen, S.L., Nevanlinna, H., Neven, P., Newman, W.G., Nielsens, F.C., Nikitina-Zake, L., Nodora, J., Offit, K., Olah, E., Olopade, O.I., Olsson, H., Orr, N., Papi, L., Papp, J., Park-Simon, T.W., Parsons, M.T., Peissel, B., Peixoto, A., Peshkin, B., Peterlongo, P., Peto, J., Phillips, K.A., Piedmonte, M., Plaseska-Karanfilska, D., Prajzendanc, K., Prentice, R., Prokofyeva, D., Rack, B., Radice, P., Ramus, S.J., Rantala, J., Rashid, M.U., Rennert, G., Rennert, H.S., Risch, H.A., Romero, A., Rookus, M.A., Rubner, M., Rudiger, T., Saloustros, E., Sampson, S., Sandler, D.P., Sawyer, E.J., Scheuner, M.T., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Schottker, B., Schurmann, P., Senter, L., Sharma, P., Sherman, M.E., Shu, X.O., Singer, C.F., Smichkoska, S., Soucy, P., Southey, M.C., Spinelli, J.J., Stone, J., Stoppa-Lyonnet, D., Swerdlow, A.J., Szabo, C.I., Tamimi, R.M., Tapper, W.J., Taylor, J.A., Teixeira, M.R., Terry, M., Thomassen, M., Thull, D.L., Tischkowitz, M., Toland, A.E., Tollenaar, R.A.E.M., Tomlinson, I., Torres, D., Troester, M.A., Truong, T., Tung, N., Untch, M., Vachon, C.M., Ouweland, A.M.W. van den, Kolk, L.E. van der, Veen, E.M. van, vanRensburg, E.J., Vega, A., Wappenschmidt, B., Weinberg, C.R., Weitzel, J.N., Wildiers, H., Winqvist, R., Wolk, A., Yang, X.H.R., Yannoukakos, D., Zheng, W., Zorn, K.K., Milne, R.L., Kraft, P., Simard, J., Pharoah, P.D.P., Michailidou, K., Antoniou, A.C., Schmidt, M.K., Chenevix-Trench, G., Easton, D.F., Chatterjee, N., Garcia-Closas, M., kConFab Investigators, ABCTB Investigators, EMBRACE Study, and GEMO Study Collaborators

Abstract

Genome-wide analysis identifies 32 loci associated with breast cancer susceptibility, accounting for estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade.Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype(1-3). To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P < 5.0 x 10(-8)), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate < 0.05). Five loci showed associations (P < 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.

Published
2020

2. 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

3. Genome-wide association study of germline variants and breast cancer-specific mortality

Author

Escala-Garcia, M., Guo, Q., Dork, T., Canisius, S., Keeman, R., Dennis, J., Beesley, J., Lecarpentier, J., Bolla, M.K., Wang, Q., Abraham, J., Andrulis, I.L., Anton-Culver, H., Arndt, V., Auer, P.L., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bernstein, L., Blomqvist, C., Boeckx, B., Bojesen, S.E., Bonanni, B., Borresen-Dale, A.L., Brauch, H., Brenner, H., Brentnall, A., Brinton, L., Broberg, P., Brock, I.W., Brucker, S.Y., Burwinkel, B., Caldas, C., Caldes, T., Campa, D., Canzian, F., Carracedo, A., Carter, B.D., Castelao, J.E., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Cheng, T.Y.D., Chin, S.F., Clarke, C.L., Cordina-Duverger, E., Couch, F.J., Cox, D.G., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Dunn, J.A., Dunning, A.M., Durcan, L., Dwek, M., Earl, H.M., Ekici, A.B., Eliassen, A.H., Ellberg, C., Engel, C., Eriksson, M., Evans, D.G., Figueroa, J., Flesch-Janys, D., Flyger, H., Gabrielson, M., Gago-Dominguez, M., Galle, E., Gapstur, S.M., Garcia-Closas, M., Garcia-Saenz, J.A., Gaudet, M.M., George, A., Georgoulias, V., Giles, G.G., Glendon, G., Goldgar, D.E., Gonzalez-Neira, A., Alnaes, G.I.G., Grip, M., Guenel, P., Haeberle, L., Hahnen, E., Haiman, C.A., Hakansson, N., Hall, P., Hamann, U., Hankinson, S., Harkness, E.F., Harrington, P.A., Hart, S.N., Hartikainen, J.M., Hein, A., Hillemanns, P., Hiller, L., Holleczek, B., Hollestelle, A., Hooning, M.J., Hoover, R.N., Hopper, J.L., Howell, A., Huang, G.M.Q., Humphreys, K., Hunter, D.J., Janni, W., John, E.M., Jones, M.E., Jukkola-Vuorinen, A., Jung, A., Kaaks, R., Kabisch, M., Kaczmarek, K., Kerin, M.J., Khan, S., Khusnutdinova, E., Kiiski, J.I., Kitahara, C.M., Knight, J.A., Ko, Y.D., Koppert, L.B., Kosma, V.M., Kraft, P., Kristensen, V.N., Kruger, U., Kuhl, T., Lambrechts, D., Marchand, L. le, Lee, E., Lejbkowicz, F., Li, L., Lindblom, A., Lindstrom, S., Linet, M., Lissowska, J., W.Y. lo, Loibl, S., Lubinski, J., Lux, M.P., MacInnis, R.J., Maierthaler, M., Maishman, T., Makalic, E., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Mavroudis, D., McLean, C., Meindl, A., Middha, P., Miller, N., Milne, R.L., Moreno, F., Mulligan, A.M., Mulot, C., Nassir, R., Neuhausen, S.L., Newman, W.T., Nielsen, S.F., Nordestgaard, B.G., Norman, A., Olsson, H., Orr, N., Pankratz, V.S., Park-Simon, T.W., Perez, J.I.A., Perez-Barrios, C., Peterlongo, P., Petridis, C., Pinchev, M., Prajzendanc, K., Prentice, R., Presneau, N., Prokofieva, D., Pylkas, K., Rack, B., Radice, P., Ramachandran, D., Rennert, G., Rennert, H.S., Rhenius, V., Romero, A., Roylance, R., Saloustros, E., Sawyer, E.J., Schmidt, D.F., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Schumacher, F., Schwentner, L., Scott, R.J., Scott, C., Seynaeve, C., Shah, M., Simard, J., Smeets, A., Sohn, C., Southey, M.C., Swerdlow, A.J., Talhouk, A., Tamimi, R.M., Tapper, W.J., Teixeira, M.R., Tengstrom, M., Terry, M.B., Thone, K., Tollenaar, R.A.E.M., Tomlinson, I., Torres, D., Truong, T., Turman, C., Turnbull, C., Ulmer, H.U., Untch, M., Vachon, C., Asperen, C.J. van, Ouweland, A.M.W. van den, Veen, E.M. van, Wendt, C., Whittemore, A.S., Willett, W., Winqvist, R., Wolk, A., Yang, X.R., Zhang, Y., Easton, D.F., Fasching, P.A., Nevanlinna, H., Eccles, D.M., Pharoah, P.D.P., Schmidt, M.K., and NBCS Collaborators

Abstract

BACKGROUND: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry.METHODS: Meta-analyses included summary estimates based on Cox models of twelve datasets using similar to 10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP).RESULTS: We did not find any variant associated with breast cancer-specific mortality at P

Published
2019

4. Genome-wide association study identifies the GLDC/IL33 locus associated with survival of osteosarcoma patients

Author

Koster, R. (Roelof), Panagiotou, O.A. (Orestis A.), Wheeler, W. (William), Karlins, E. (Eric), Gastier-Foster, J.M. (Julie M.), Caminada-de-Toledo, S.R. (Silvia Regina), Petrilli, A.S. (Antonio S.), Flanagan, A.M. (Adrienne M.), Tirabosco, R. (Roberto), Andrulis, I.L. (Irene L.), Wunder, J.S. (Jay S.), Gokgoz, N. (Nalan), Patiño-García, A. (Ana), Lecanda, F. (Fernando), Serra, M. (Massimo), Hattinger, C. (Claudia), Picci, P. (Piero), Scotlandi, K. (Katia), Thomas, D.M. (David M.), Ballinger, M.L. (Mandy L.), Gorlick, R.G. (Richard G.), Barkauskas, D.A. (Donald A.), Spector, L. (Logan), Tucker, M. (Margaret), Hicks, B. (Belynda), Yeager, M. (Meredith), Hoover, R.N. (Robert N.), Wacholder, S. (Sholom), Chanock, S.J. (Stephen J.), Savage, S.A. (Sharon A.), and Mirabello, L. (Lisa)

Subjects
Osteosarcoma, Genome-wide association study, Overall survival, Osteosarcoma-specific survival
Abstract

Survival rates for osteosarcoma, the most common primary bone cancer, have changed little over the past three decades and are particularly low for patients with metastatic disease. We conducted a multi-institutional genome-wide association study (GWAS) to identify germline genetic variants associated with overall survival in 632 patients with osteosarcoma, including 523 patients of European ancestry and 109 from Brazil. We conducted a time-to-event analysis and estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional hazards models, with and without adjustment for metastatic disease.

Published
2018

5. Genome-wide association study identifies multiple new loci associated with Ewing sarcoma susceptibility

Author

Machiela, M.J. (Mitchell J.), Grünewald, T.G.P. (Thomas G. P.), Surdez, D. (Didier), Reynaud, S. (Stephanie), Mirabeau, O. (Olivier), Karlins, E. (Eric), Rubio, R.A. (Rebeca Alba), Zaidi, S. (Sakina), Grossetete-Lalami, S. (Sandrine), Ballet, S. (Stelly), Lapouble, E. (Eve), Laurence, V. (Valérie), Michon, J. (Jean), Pierron, G. (Gaelle), Kovar, H. (Heinrich), Gaspar, N. (Nathalie), Kontny, U. (Udo), Gonzalez-Neira, A. (Anna), Picci, P. (Piero), Alonso, J. (Javier), Patiño-García, A. (Ana), Corradini, N. (Nadege), Bérard, P.M. (Perrine Marec), Freedman, N.D. (Neal D.), Rothman, N. (Nathaniel), Dagnall, C. (Casey), Burdett, L. (Laurie), Jones, K. (Krisitine), Manning, M. (Michelle), Wyatt, K. (Kathleen), Zhou, W. (Weiyin), Yeager, M. (Meredith), Cox, D.G. (David G.), Hoover, R.N. (Robert N.), Khan, J. (Javed), Armstrong, G.T. (Gregory T.), Leisenring, W.M. (Wendy M.), Bhatia, S. (Smita), Robison, L.L. (Leslie L.), Kulozik, A. (Andreas E.), Kriebel, J. (Jennifer), Meitinger, T. (Thomas), Metzler, M. (Markus), Hartmann, W. (Wolfgang), Strauch, K. (Konstantin), Kirchner, T. (Thomas), Dirksen, U. (Uta), Morton, L.M. (Lindsay M.), Mirabello, L. (Lisa), Tucker, M. (Margaret), Tirode, F. (Franck), Chanock, S.J. (Stephen J.), and Delattre, O. (Olivier)

Subjects
Genome-wide association study, Ewing sarcoma (EWS), Pediatric cancer
Abstract

Ewing sarcoma (EWS) is a pediatric cancer characterized by the EWSR1-FLI1 fusion. We performed a genome-wide association study of 733 EWS cases and 1346 unaffected individuals of European ancestry. Our study replicates previously reported susceptibility loci at 1p36.22, 10q21.3 and 15q15.1, and identifies new loci at 6p25.1, 20p11.22 and 20p11.23. Effect estimates exhibit odds ratios in excess of 1.7, which is high for cancer GWAS, and striking in light of the rarity of EWS cases in familial cancer syndromes. Expression quantitative trait locus (eQTL) analyses identify candidate genes at 6p25.1 (RREB1) and 20p11.23 (KIZ). The 20p11.22 locus is near NKX2-2, a highly overexpressed gene in EWS. Interestingly, most loci reside near GGAA repeat sequences and may disrupt binding of the EWSR1-FLI1 fusion protein. The high locus to case discovery ratio from 733 EWS cases suggests a genetic architecture in which moderate risk SNPs constitute a significant fraction of risk.

Published
2018

6. Circulating sex hormones in relation to anthropometric, sociodemographic and behavioural factors in an international dataset of 12,300 men

Author

Watts, E.L. Appleby, P.N. Albanes, D. Black, A. Chan, J.M. Chen, C. Cirillo, P.M. Cohn, B.A. Cook, M.B. Donovan, J.L. Ferrucci, L. Garland, C.F. Giles, G.G. Goodman, P.J. Habel, L.A. Haiman, C.A. Holly, J.M.P. Hoover, R.N. Kaaks, R. Knekt, P. Kolonel, L.N. Kubo, T. Le Marchand, L. Luostarinen, T. MacInnis, R.J. Mäenpää, H.O. Männistö, S. Metter, E.J. Milne, R.L. Nomura, A.M.Y. Oliver, S.E. Parsons, J.K. Peeters, P.H. Platz, E.A. Riboli, E. Ricceri, F. Rinaldi, S. Rissanen, H. Sawada, N. Schaefer, C.A. Schenk, J.M. Stanczyk, F.Z. Stampfer, M. Stattin, P. Stenman, U.-H. Tjønneland, A. Trichopoulou, A. Thompson, I.M. Tsugane, S. Vatten, L. Whittemore, A.S. Ziegler, R.G. Allen, N.E. Key, T.J. Travis, R.C.

Abstract

Introduction Sex hormones have been implicated in the etiology of a number of diseases. To better understand disease etiology and the mechanisms of disease-risk factor associations, this analysis aimed to investigate the associations of anthropometric, sociodemographic and behavioural factors with a range of circulating sex hormones and sex hormone-binding globulin. Methods Statistical analyses of individual participant data from 12,330 male controls aged 25–85 years from 25 studies involved in the Endogenous Hormones Nutritional Biomarkers and Prostate Cancer Collaborative Group. Analysis of variance was used to estimate geometric means adjusted for study and relevant covariates. Results Older age was associated with higher concentrations of sex hormone-binding globulin and dihydrotestosterone and lower concentrations of dehydroepiandrosterone sulfate, free testosterone, androstenedione, androstanediol glucuronide and free estradiol. Higher body mass index was associated with higher concentrations of free estradiol, androstanediol glucuronide, estradiol and estrone and lower concentrations of dihydrotestosterone, testosterone, sex hormone-binding globulin, free testosterone, androstenedione and dehydroepiandrosterone sulfate. Taller height was associated with lower concentrations of androstenedione, testosterone, free testosterone and sex hormone-binding globulin and higher concentrations of androstanediol glucuronide. Current smoking was associated with higher concentrations of androstenedione, sex hormone-binding globulin and testosterone. Alcohol consumption was associated with higher concentrations of dehydroepiandrosterone sulfate, androstenedione and androstanediol glucuronide. East Asians had lower concentrations of androstanediol glucuronide and African Americans had higher concentrations of estrogens. Education and marital status were modestly associated with a small number of hormones. Conclusion Circulating sex hormones in men are strongly associated with age and body mass index, and to a lesser extent with smoking status and alcohol consumption. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Published
2017

7. A Case-Control Study of Fluoridation and Osteosarcoma.

Author

Kim, F.M., Hayes, C., Burgard, S.L., Kim, H.D., Hoover, R.N., Douglass, C.W., Couper, D., and National Osteosarcoma Etiology Group

Subjects
WATER fluoridation, OSTEOSARCOMA, ORAL health, HEALTH policy, ORTHOPEDICS, CASE-control method, BONE tumors, WATER supply, RESEARCH funding, ODDS ratio
Abstract

Public health policy decisions in the United States have resulted in 62.4% of the population having access to fluoridated water. The purpose of this study was to examine the association between community water fluoridation and osteosarcoma. A secondary data analysis was performed with data collected from 2 separate but linked studies. Patients for phase 1 and phase 2 were selected from US hospitals via a matched case-control study design. For both phases, cases included patients diagnosed with osteosarcoma, and controls were patients diagnosed with other bone tumors or nonneoplastic conditions. In phase 1, cases (n = 209) and controls (n = 440) were patients of record in the participating orthopedic departments from 1989 to 1993. In phase 2, cases (n = 108) and controls (n = 296) were incident patients who were identified and treated by orthopedic physicians from 1994 to 2000. This analysis included all patients who met eligibility criteria on whom we had complete data on covariates, exposures, and outcome. Conditional logistic regression was used to estimate odds ratios (ORs) and 95% CIs for the association of community water fluoridation with osteosarcoma. A modestly significant interaction existed between fluoridation living status and bottled water use (P = 0.047). The adjusted OR for osteosarcoma and ever having lived in a fluoridated area for nonbottled water drinkers was 0.51 (95% CI, 0.31 to 0.84; P = 0.008). In the same comparison, the adjusted OR for bottled water drinkers was 1.86 (95% CI, 0.54 to 6.41; P = 0.326). Findings from this study demonstrated that community water fluoridation is not associated with an increased risk for osteosarcoma. [ABSTRACT FROM AUTHOR]

Published
2020
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8. Identification of novel genetic markers of breast cancer survival

Author

Guo, Q., Schmidt, M.K., Kraft, P., Canisius, S., Chen, C., Khan, S., Tyrer, J., Bolla, M.K., Wang, Q., Dennis, J., Michailidou, K., Lush, M., Kar, S., Beesley, J., Dunning, A.M., Shah, M., Czene, K., Darabi, H., Eriksson, M., Lambrechts, D., Weltens, C., Leunen, K., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Blomqvist, C., Aittomaki, K., Fagerholm, R., Muranen, T.A., Couch, F.J., Olson, J.E., Vachon, C., Andrulis, I.L., Knight, J.A., Glendon, G., Mulligan, A.M., Broeks, A., Hogervorst, F.B., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Hopper, J.L., Tsimiklis, H., Apicella, C., Southey, M.C., Cox, A., Cross, S.S., Reed, M.W.R., Giles, G.G., Milne, R.L., McLean, C., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Hooning, M.J., Hollestelle, A., Martens, J.W.M., Ouweland, A.M.W. van den, Marme, F., Schneeweiss, A., Yang, R.X., Burwinkel, B., Figueroa, J., Chanock, S.J., Lissowska, J., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Brenner, H., Dieffenbach, A.K., Arndt, V., Holleczek, B., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Li, J.M., Brand, J.S., Humphreys, K., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Radice, P., Peterlongo, P., Bonanni, B., Mariani, P., Fasching, P.A., Beckmann, M.W., Hein, A., Ekici, A.B., Chenevix-Trench, G., Balleine, R., Phillips, K.A., Benitez, J., Zamora, M.P., Perez, J.I.A., Menendez, P., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Hamann, U., Kabisch, M., Ulmer, H.U., Rudiger, T., Margolin, S., Kristensen, V., Nord, S., Evans, D.G., Abraham, J.E., Earl, H.M., Hiller, L., Dunn, J.A., Bowden, S., Berg, C., Campa, D., Diver, W.R., Gapstur, S.M., Gaudet, M.M., Hankinson, S.E., Hoover, R.N., Husing, A., Kaaks, R., Machiela, M.J., Willett, W., Barrdahl, M., Canzian, F., Chin, S.F., Caldas, C., Hunter, D.J., Lindstrom, S., Garcia-Closas, M., Hall, P., Easton, D.F., Eccles, D.M., Rahman, N., Nevanlinna, H., Pharoah, P.D.P., kConFab Investigators, Tyrer, Jonathan [0000-0003-3724-4757], Wang, Jean [0000-0002-9139-0627], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Abraham, Jean [0000-0003-0688-4807], Earl, Helena [0000-0003-1549-8094], Chin, Suet-Feung [0000-0001-5697-1082], Caldas, Carlos [0000-0003-3547-1489], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], and Apollo - University of Cambridge Repository

Subjects
Genetic Markers, Genotype, Receptors, Estrogen, Humans, Breast Neoplasms, Female, Genetic Predisposition to Disease, Prognosis, Polymorphism, Single Nucleotide, Survival Analysis, White People
Abstract

BACKGROUND: Survival after a diagnosis of breast cancer varies considerably between patients, and some of this variation may be because of germline genetic variation. We aimed to identify genetic markers associated with breast cancer-specific survival. METHODS: We conducted a large meta-analysis of studies in populations of European ancestry, including 37954 patients with 2900 deaths from breast cancer. Each study had been genotyped for between 200000 and 900000 single nucleotide polymorphisms (SNPs) across the genome; genotypes for nine million common variants were imputed using a common reference panel from the 1000 Genomes Project. We also carried out subtype-specific analyses based on 6881 estrogen receptor (ER)-negative patients (920 events) and 23059 ER-positive patients (1333 events). All statistical tests were two-sided. RESULTS: We identified one new locus (rs2059614 at 11q24.2) associated with survival in ER-negative breast cancer cases (hazard ratio [HR] = 1.95, 95% confidence interval [CI] = 1.55 to 2.47, P = 1.91 x 10(-8)). Genotyping a subset of 2113 case patients, of which 300 were ER negative, provided supporting evidence for the quality of the imputation. The association in this set of case patients was stronger for the observed genotypes than for the imputed genotypes. A second locus (rs148760487 at 2q24.2) was associated at genome-wide statistical significance in initial analyses; the association was similar in ER-positive and ER-negative case patients. Here the results of genotyping suggested that the finding was less robust. CONCLUSIONS: This is currently the largest study investigating genetic variation associated with breast cancer survival. Our results have potential clinical implications, as they confirm that germline genotype can provide prognostic information in addition to standard tumor prognostic factors.

Published
2015

9. Common germline polymorphisms\ud associated with breast cancer-specific survival

Author

Pirie, A., Guo, Q., Kraft, P., Canisius, S., Eccles, D.M., Rahman, N., Nevanlinna, H., Chen, C., Khan, S., Tyrer, J., Bolla, M.K., Wang, Q., Dennis, J., Michailidou, K., Lush, M., Dunning, A.M., Shah, M., Czene, K., Darabi, H., Eriksson, M., Lambrechts, D., Weltens, C., Leunen, K., van Ongeval, C., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Rudolph, A., Seibold, P., Flesch-Janys, D., Blomqvist, C., Aittomaki, K., Fagerholm, R., Muranen, T.A., Olsen, J.E., Hallberg, E., Vachon, C., Knight, J.A., Glendon, G., Mulligan, A.M., Broeks, A., Cornelissen, S., Haiman, C.A., Henderson, B.E., Schumacher, F., Le Marchand, L., Hopper, J.L., Tsimiklis, H., Apicella, C., Southey, M.C., Cross, S.S., Reed, M.W.R., Giles, G.G., Milne, R.L., McLean, C., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Hooning, M.J., Hollestelle, A., Martens, J.W.M., van den Ouweland, A.M.W., Marme, F., Schneeweiss, A., Yang, R., Burwinkel, B., Figueroa, J., Chanock, S.J., Lissowska, J., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Brenner, H., Butterbach, K., Holleczek, B., Kataja, V., Kosma, V-M., Hartikainen, J.M., Li, J., Brand, J.S., Humphreys, K., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Radice, P., Peterlongo, P., Manoukian, S., Ficarazzi, F., Beckmann, M.W., Hein, A., Ekici, A.B., Balleine, R., Phillips, K-A., Benitez, J., Zamora, M.P., Perez, J.I.A., Menendez, P., Jakubowska, A., Lubinski, J., Gronwald, J., Durda, K., Hamann, U., Kabisch, M., Ulmer, H.U., Ruediger, T., Margolin, S., Kristensen, V., Nord, S., Evans, D.G., Abraham, J., Earl, H., Poole, C.J., Hiller, L., Dunn, J.A., Bowden, S., Campa, D., Diver, W.R., Gapstur, S.M., Gaudet, M.M., Hankinson, S., Hoover, R.N., Husing, A., Kaaks, R., Machiela, M.J., Willett, W., Barrdahl, M., Canzian, F., Chin, S-F., Caldas, C., Hunter, D.J., Lindstrom, S., Garcia-Closas, M., Couch, F.J., Investigators, kConFab, Chenevix-Trench, G., Mannermaa, A., Andrulis, I.L., Hall, P., Chang-Claude, J., Easton, D.F., Bojesen, S.E., Cox, A., Fasching, P.A., Pharoah, P.D.P., Schmidt, M.K., and Investigators, NBCS

Abstract

Introduction: Previous studies have identified common germline variants nominally associated with breast cancer\ud survival. These associations have not been widely replicated in further studies. The purpose of this study was to\ud evaluate the association of previously reported SNPs with breast cancer-specific survival using data from a pooled\ud analysis of eight breast cancer survival genome-wide association studies (GWAS) from the Breast Cancer Association\ud Consortium.\ud Methods: A literature review was conducted of all previously published associations between common germline\ud variants and three survival outcomes: breast cancer-specific survival, overall survival and disease-free survival.\ud All associations that reached the nominal significance level of P value

Published
2015

10. Common variation at 2p13.3, 3q29, 7p13 and 17q25.1 associated with susceptibility to pancreatic cancer

Author

Childs, E.J. Mocci, E. Campa, D. Bracci, P.M. Gallinger, S. Goggins, M. Li, D. Neale, R.E. Olson, S.H. Scelo, G. Amundadottir, L.T. Bamlet, W.R. Bijlsma, M.F. Blackford, A. Borges, M. Brennan, P. Brenner, H. Bueno-De-Mesquita, H.B. Canzian, F. Capurso, G. Cavestro, G.M. Chaffee, K.G. Chanock, S.J. Cleary, S.P. Cotterchio, M. Foretova, L. Fuchs, C. Funel, N. Gazouli, M. Hassan, M. Herman, J.M. Holcatova, I. Holly, E.A. Hoover, R.N. Hung, R.J. Janout, V. Key, T.J. Kupcinskas, J. Kurtz, R.C. Landi, S. Lu, L. Malecka-Panas, E. Mambrini, A. Mohelnikova-Duchonova, B. Neoptolemos, J.P. Oberg, A.L. Orlow, I. Pasquali, C. Pezzilli, R. Rizzato, C. Saldia, A. Scarpa, A. Stolzenberg-Solomon, R.Z. Strobel, O. Tavano, F. Vashist, Y.K. Vodicka, P. Wolpin, B.M. Yu, H. Petersen, G.M. Risch, H.A. Klein, A.P.

Abstract

Pancreatic cancer is the fourth leading cause of cancer death in the developed world. Both inherited high-penetrance mutations in BRCA2 (ref. 2), ATM, PALB2 (ref. 4), BRCA1 (ref. 5), STK11 (ref. 6), CDKN2A and mismatch-repair genes and low-penetrance loci are associated with increased risk. To identify new risk loci, we performed a genome-wide association study on 9,925 pancreatic cancer cases and 11,569 controls, including 4,164 newly genotyped cases and 3,792 controls in 9 studies from North America, Central Europe and Australia. We identified three newly associated regions: 17q25.1 (LINC00673, rs11655237, odds ratio (OR) = 1.26, 95% confidence interval (CI) = 1.19-1.34, P = 1.42 × 10-14), 7p13 (SUGCT, rs17688601, OR = 0.88, 95% CI = 0.84-0.92, P = 1.41 × 10-8) and 3q29 (TP63, rs9854771, OR = 0.89, 95% CI = 0.85-0.93, P = 2.35 × 10-8). We detected significant association at 2p13.3 (ETAA1, rs1486134, OR = 1.14, 95% CI = 1.09-1.19, P = 3.36 × 10-9), a region with previous suggestive evidence in Han Chinese. We replicated previously reported associations at 9q34.2 (ABO), 13q22.1 (KLF5), 5p15.33 (TERT and CLPTM1), 13q12.2 (PDX1), 1q32.1 (NR5A2), 7q32.3 (LINC-PINT), 16q23.1 (BCAR1) and 22q12.1 (ZNRF3). Our study identifies new loci associated with pancreatic cancer risk. © 2015 Nature America, Inc. All rights reserved.

Published
2015

11. Prostate cancer (PC)-management of 669 cases in Ghana West Africa

Author

Yeboah, E.D., Hsing, A.W., Biritwum, R.B., Tettey, Y., Mante, S., Mensah, J.E., Kyei, Y.M., Yarney, J., Vanderpuije, V., Beechem, K., Asante, K., Ampadu, K., Adusei, B., Attee, S.G., Klufio, G.O., Lamptey, E., Owoo, C., Marzo, A., Netto, G., Yu, K., Li, V., Chokkalingham, A., Chia, D., Jaddalah, S., Partin, A., Thompson, I.M., Quaraishi, S.M., Addo-Ayensu, G., Niwa, S., Tarone, R., and Hoover, R.N.

Published
2014
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12. An Assessment of Bone Fluoride and Osteosarcoma.

Author

Kim, F.M., Hayes, C., Williams, P.L., Whitford, G.M., Joshipura, K.J., Hoover, R.N., and Douglass, C.W.

Subjects
FLUORIDES, BONES, OSTEOSARCOMA, CASE-control method, ONCOLOGY, LOGISTIC regression analysis, CONTROL groups
Abstract

The association between fluoride and risk for osteosarcoma is controversial. The purpose of this study was to determine if bone fluoride levels are higher in individuals with osteosarcoma. Incident cases of osteosarcoma (N = 137) and tumor controls (N = 51) were identified by orthopedic physicians, and segments of tumor-adjacent bone and iliac crest bone were analyzed for fluoride content. Logistic regression adjusted for age and sex and potential confounders of osteosarcoma was used to estimate odds ratios (OR) and 95% confidence intervals (CI). There was no significant difference in bone fluoride levels between cases and controls. The OR adjusted for age, gender, and a history of broken bones was 1.33 (95% CI: 0.56-3.15). No significant association between bone fluoride levels and osteosarcoma risk was detected in our case-control study, based on controls with other tumor diagnoses. [ABSTRACT FROM PUBLISHER]

Published
2011
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13. Does place of birth influence endogenous hormone levels in Asian-American women?

Author

Falk, R.T., Fears, T.R., Hoover, R.N., Pike, M.C., Wu, A.H., Nomura, A.M.Y., Kolonel, L.N., West, D.W., and Ziegler, R.G.

Subjects
BREAST cancer risk factors, ASIANS, DISEASES in women, PERIMENOPAUSE, EMIGRATION & immigration, DISEASE incidence, POPULATION geography, CASE-control method, RISK assessment, SEX hormones, POSTMENOPAUSE, GENETIC techniques, BREAST tumors, GENEALOGY
Abstract

In 1983-87, we conducted a population-based case-control study of breast cancer in Asian women living in California and Hawaii, in which migration history (a composite of the subject's place of birth, usual residence in Asia (urban/rural), length of time living in the West, and grandparents' place of birth) was associated with a six-fold risk gradient that paralleled the historical differences in incidence rates between the US and Asian countries. This provided the opportunity to determine whether endogenous hormones vary with migration history in Asian-American women. Plasma obtained from 316 premenopausal and 177 naturally premenopausal study controls was measured for levels of estrone (E1), estradiol (E2), estrone sulphate (E1S), androstenedione (A), testosterone (T), dehydroepiandrosterone (DHEA), dehydroepiandrosterone sulphate (DHEAS), progesterone (PROG) and sex hormone-binding globulin (SHBG). Levels of the oestrogens and sex hormone-binding globulin did not differ significantly between Asian- and Western-born women, although among premenopausal women, those least westernised had the lowest levels of E1, E2, and E1S. Androgen levels, particularly DHEA, were lower in women born in the West. Among premenopausal women, age-adjusted geometric mean levels of DHEA were 16.5 and 13.8 nmol l(-1) in Asian- and Western-born women respectively; in postmenopausal women these values were 11.8 and 9.2 nmol l(-1), (P<0.001) respectively. Among postmenopausal women, androgens tended to be highest among the least westernised women and declined as the degree of westernisation increased. Our findings suggest that aspects of hormone metabolism play a role in population differences in breast cancer incidence. [ABSTRACT FROM AUTHOR]

Published
2002
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14. METHODOLOGICAL NOTE: Biomarkers (sex-hormone binding globulin (SHBG), bioavailable oestradiol, and bioavailable testosterone) and processing of blood samples in epidemiological studies.

Author

Fillmore, C.M., Fears, T.R., Hoover, R.N., Falk, R.T., Vaught, J.B., Chandler, D.W., Stanczyk, F.Z., Galmarini, M., and Ziegler, R.G.

Subjects
EPIDEMIOLOGICAL research, BIOMARKERS, BLOOD testing
Abstract

Discusses the use of biochemical markers and blood collection for epidemiological studies. Methods used in taking blood samples; Evaluation of biomarkers optimal processing; Variations among laboratory practices on the use of sex-hormone binding globulin (SHBG).

Published
2000
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15. Seroreactivity to Human Papillomavirus Types 16, 18, 31, and 45 Virus-Like Particles in a Case-Control Study of Cervical Squamous Intraepithelial Lesions.

Author

Wideroff, L., Schiffman, M., Haderer, P., Armstrong, A., Greer, C.E., Manos, M.M., Burk, R.D., Scott, D.R., Sherman, M.E., Schiller, J.T., Hoover, R.N., Tarone, R.E., and Kirnbauer, R.

Subjects
PAPILLOMAVIRUS diseases, CERVIX uteri, EPITHELIAL cells, CYTOLOGY, IMMUNOLOGY
Abstract

Examines patterns of immunologic response to human papillomavirus (HPV) infection in cervical squamous epithelial cells. Assessment of serologic cross-reactivity; Prevalence odds ratios and confidence intervals of different HPV types; Seroreactivity to single versus multiple virus-like particle types in cases and controls.

Published
1999
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16. Lower levels of urinary 2-amino-3,8-dimethylimidazo[4,5-f]-quinoxaline (MeIQx) in humans with higher CYP1A2 activity.

Author

Sinha, R., Rothman, N., Mark, S.D., Murray, S., Brown, E.D., Levander, O.A., Davies, D.S., Lang, N.P., Kadlubar, F.F., and Hoover, R.N.

Abstract

Heterocyclic aromatic amines (HAAs), such as 2-amino-3,8-dimethylimidazo[4,5-]quinoxaline (MeIQx), are metabolically activated by cytochrome P4501A2 (CYP1A2) and -acetyltransferase (NAT2). We examined the relationship between CYP1A2 and NAT2 activity and the excretion of total unconjugated MeIQx in 66 healthy subjects. The subjects ate a controlled diet for 7 days containing lean ground beef cooked at low temperature. On day 8, they were tested for CYP1A2 and NAT2 activity by caffeine phenotyping. On the evening of day 8, subjects consumed lean ground beef cooked at high temperature containing 9.0 ng of MeIQx/g of meat. The subjects ate 3.1–4.0 g meat/ kg body wt. Twelve-hour urine samples were collected and MeIQx was measured by gas chromatography-mass spectrometry. Using linear regression analyses, we found that higher CYP1A2 activity was associated with lower levels of total unconjugated MeIQx in the urine ( = 0.008) when adjusted for amount of meat eaten, while NAT2 activity showed no relationship with the latter. This suggests that a greater percentage of MeIQx is converted to metabolites such as the -hydroxy derivative when CYP1A2 activity is higher. This finding supports the concept that inter-individual variation in CYP1A2 activity may be relevant for cancers associated with exposure to HAAs. [ABSTRACT FROM PUBLISHER]

Published
1995

17. Therapeutic radiation at a young age is linked to secondary cancer

Author

Tucker, M.A., Jones, P.H., Boice, Jr., J.D., Robinson, L.L., Stovall, M., Jenkin, R.D.T., Lubin, J.H., Baum, E.S., Siegel, S.E., Meadows, A.T., Hoover, R.N., and Fraumeni, Jr., J.F.

Subjects
Radiation -- Physiological aspects, Thyroid cancer -- Causes of -- Complications and side effects, Radiotherapy -- Physiological aspects
Abstract

SOURCE: Cancer Research, June 1, 1991;51:2885-2888. The risk of late thyroid cancer is greater than average in childhood cancer patients treated with therapeutic radiation, regardless of whether patients received small [...]

Published
1991

18. CYP2E1 genetic polymorphisms and risk of nasopharyngeal carcinoma in Taiwan

Author

Hildesheim, A., Anderson, L.M., Chen, C.J., Cheng, Y.J., Brinton, L.A., Daly, A.K., Reed, C.D., Chen, I.H., Caporaso, N.E., Hsu, M.M., Chen, J.Y., Idle, J.R., Hoover, R.N., Yang, C.S., and Chhabra, S.K.

Subjects
Nose cancer -- Risk factors -- Genetic aspects, Genetic polymorphisms -- Health aspects -- Genetic aspects, Cytochrome P-450 -- Genetic aspects -- Health aspects, Health, Genetic aspects, Risk factors, Health aspects
Abstract

Hildesheim, A.; Anderson, L.M.; Chen, C.J.; Cheng, Y.J.; Brinton, L.A.; Daly, A.K.; Reed, C.D.; Chen, I.H.; Caporaso, N.E.; Hsu, M.M.; Chen, J.Y.; Idle, J.R.; Hoover, R.N.; Yang, C.S.; Chhabra, S.K. [...]

Published
1997

20. A new approach to measuring estrogen exposure and metabolism in epidemiologic studies

Author

Ziegler, R.G., Faupel-Badger, J.M., Sue, L.Y., Fuhrman, B.J., Falk, R.T., Boyd-Morin, J., Henderson, M.K., Hoover, R.N., Veenstra, T.D., Keefer, L.K., and Xu, X.

Subjects
*ESTROGEN, *EPIDEMIOLOGY, *METABOLISM, *ETIOLOGY of diseases, *BREAST cancer, *BIOCHEMISTRY, *MOLECULAR biology
Abstract

Abstract: Endogenous estrogen plays an integral role in the etiology of breast and endometrial cancer, and conceivably ovarian cancer. However, the underlying mechanisms and the importance of patterns of estrogen metabolism and specific estrogen metabolites have not been adequately explored. Long-standing hypotheses, derived from laboratory experiments, have not been tested in epidemiologic research because of the lack of robust, rapid, accurate measurement techniques appropriate for large-scale studies. We have developed a stable isotope dilution liquid chromatography–tandem mass spectrometry (LC–MS2) method that can measure concurrently all 15 estrogens and estrogen metabolites (EM) in urine and serum with high sensitivity (level of detection=2.5–3.0fmol EM/mL serum), specificity, accuracy, and precision [laboratory coefficients of variation (CV''s) ≤5% for nearly all EM]. The assay requires only extraction, a single chemical derivatization, and less than 0.5mL of serum or urine. By incorporating enzymatic hydrolysis, the assay measures total (glucuronidated+sulfated+unconjugated) EM. If the hydrolysis step is omitted, the assay measures unconjugated EM. Interindividual differences in urinary EM concentrations (pg/mL creatinine), which reflect total EM production, were consistently large, with a range of 10–100-fold for nearly all EM in premenopausal and postmenopausal women and men. Correlational analyses indicated that urinary estrone and estradiol, the most commonly measured EM, do not accurately represent levels of total urinary EM or of the other EM. In serum, all 15 EM were detected as conjugates, but only 5 were detected in unconjugated form. When we compared our assay methods with indirect radioimmunoassays for estrone, estradiol, and estriol and enzyme-linked immunosorbent assays for 2-hydroxyestrone and 16α-hydroxyestrone, ranking of individuals agreed well for premenopausal women [Spearman r (r s)=0.8–0.9], but only moderately for postmenopausal women (r s =0.4–0.8). Our absolute readings were consistently lower, especially at the low concentrations characteristic of postmenopausal women, possibly because of improved specificity. We are currently applying our EM measurement techniques in several epidemiologic studies of premenopausal and postmenopausal breast cancer. [Copyright &y& Elsevier]

Published
2010
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23. Common colorectal cancer risk alleles contribute to the multiple colorectal adenoma phenotype, but do not influence colonic polyposis in FAP

Author

Cheng, T. H. T., Gorman, M., Martin, L., Barclay, E., Casey, G., Newcomb, P. A., Conti, D. V., Schumacher, F. R., Gallinger, S., Lindor, N. M., Hopper, J., Jenkins, M., Hunter, D. J., Kraft, P., Jacobs, K. B., Cox, D. G., Yeager, M., Hankinson, S. E., Wacholder, S., Wang, Z., Welch, R., Hutchinson, A., Wang, J., Yu, K., Chatterjee, N., Orr, N., Willett, W. C., Colditz, G. A., Ziegler, R. G., Berg, C. D., Buys, S. S., McCarty, C. A., Feigelson, H. S., Calle, E. E., Thun, M. J., Hayes, R. B., Tucker, M., Gerhard, D. S., Fraumeni, J. F., Jr., Hoover, R. N., Thomas, G., Chanock, S. J., Ciampa, J., Gonzalez-Bosquet, J., Berndt, S., Amundadottir, L., Diver, W. R., Albanes, D., Virtamo, J., Weinstein, S. J., Cancel-Tassin, G., Cussenot, O., Valeri, A., Andriole, G. L., Crawford, E. D., Haiman, C. A., Henderson, B., Kolonel, L., March, L. L., Siddiq, A., Riboli, E., Key, T. J., Kaaks, R., Isaacs, W., Isaacs, S., Wiley, K. E., Gronberg, H., Wiklund, F., Stattin, P., Xu, J., Zheng, S. L., Sun, J., Vatten, L. J., Hveem, K., Kumle, M., Purdue, M. P., Johansson, M., Zelenika, D., Toro, J. R., Scelo, G., Moore, L. E., Prokhortchouk, E., Wu, X., Kiemeney, L. A., Gaborieau, V., Chow, W. -H., Zaridze, D., Matveev, V., Lubinski, J., Trubicka, J., Szeszenia-Dabrowska, N., Lissowska, J., Rudnai, P., Fabianova, E., Bucur, A., Bencko, V., Foretova, L., Janout, V., Boffetta, P., Colt, J. S., Davis, F. G., Schwartz, K. L., Banks, R. E., Selby, P. J., Harnden, P., Hsing, A. W., Grubb, R. L., III, Boeing, H., Vineis, P., Clavel-Chapelon, F., Palli, D., Tumino, R., Krogh, V., Panico, S., Duell, E. J., Quirós, J. R., Sanchez, M. -J., Navarro, C., Ardanaz, E., Dorronsoro, M., Khaw, K. -T., Allen, N. E., Bueno-de-Mesquita, H. B., Peeters, P. H. M., Trichopoulos, D., Linseisen, J., Ljungberg, B., Overvad, K., Tjønnel, Romieu, I., Mukeria, A., Shangina, O., Stevens, V. L., Gapstur, S. M., Pharoah, P. D., Easton, D. F., Njølstad, I., Tell, G. S., Stoltenberg, C., Kumar, R., Koppova, K., Benhamou, S., Oosterwijk, E., Vermeulen, S. H., Aben, K. K. H., Van Der Marel, S. L., Ye, Y., Wood, C. G., Pu, X., Mazur, A. M., Boulygina, E. S., Chekanov, N. N., Foglio, M., Lechner, D., Gut, I., Heath, S., Blanche, H., Skryabin, K. G., McKay, J. 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Subjects
Male, pathogenesi, genetic association, phenotype, Adenomatous Polyposis Coli Protein, colorectal cancer, Colorectal Neoplasm, cancer risk, gene frequency, Polymorphism, Single Nucleotide, Article, DNA glycosyltransferase, adult, DNA glycosylase MutY, colon polyposi, single nucleotide polymorphism, genetic variability, middle aged, controlled study, Genetic Predisposition to Disease, human, DNA Glycosylase, Germ-Line Mutation, Aged, colorectal adenoma, Allele, modifier gene, Genes, Modifier, disease predisposition, APC protein, human, major clinical study, digestive system diseases, human tissue, APC protein, female, priority journal, Adenomatous Polyposis Coli, germline mutation, familial colon polyposi, adenoma, single nucleotide polymorphism, Adenoma, genetic, genetic predisposition
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. © 2015 Macmillan Publishers Limited All rights reserved.

Published
2015

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