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Your search keyword '"Brock, I W"' showing total 3 results
Start Over Author "Brock, I W" Topic genetic predisposition to disease
3 results on '"Brock, I W"'

1. FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium.

Author

Agarwal D, Pineda S, Michailidou K, Herranz J, Pita G, Moreno LT, Alonso MR, Dennis J, Wang Q, Bolla MK, Meyer KB, Menéndez-Rodríguez P, Hardisson D, Mendiola M, González-Neira A, Lindblom A, Margolin S, Swerdlow A, Ashworth A, Orr N, Jones M, Matsuo K, Ito H, Iwata H, Kondo N, Hartman M, Hui M, Lim WY, Iau PT, Sawyer E, Tomlinson I, Kerin M, Miller N, Kang D, Choi J-, Park SK, Noh D-, Hopper JL, Schmidt DF, Makalic E, Southey MC, Teo SH, Yip CH, Sivanandan K, Tay W-, Brauch H, Brüning T, Hamann U, Dunning AM, Shah M, Andrulis IL, Knight JA, Glendon G, Tchatchou S, Schmidt MK, Broeks A, Rosenberg EH, van't Veer LJ, Fasching PA, Renner SP, Ekici AB, Beckmann MW, Shen C-, Hsiung C-, Yu J-, Hou M-, Blot W, Cai Q, Wu AH, Tseng C-, Van Den Berg D, Stram DO, Cox A, Brock IW, Reed MW, Muir K, Lophatananon A, Stewart-Brown S, Siriwanarangsan P, Zheng W, Deming-Halverson S, Shrubsole MJ, Long J, Shu X-, Lu W, Gao Y-, Zhang B, Radice P, Peterlongo P, Manoukian S, Mariette F, Sangrajrang S, McKay J, Couch FJ, Toland AE, Yannoukakos D, Fletcher O, Johnson N, dos Santos Silva I, Peto J, Marme F, Burwinkel B, Guénel P, Truong T, Sanchez M, Mulot C, Bojesen SE, Nordestgaard BG, Flyer H, Brenner H, Dieffenbach AK, Arndt V, Stegmaier C, Mannermaa A, Kataja V, Kosma V-, Hartikainen JM, Lambrechts D, Yesilyurt BT, Floris G, Leunen K, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Wang X, Olson JE, Vachon C, Purrington K, Giles GG, Severi G, Baglietto L, Haiman CA, Henderson BE, Schumacher F, Marchand LL, Simard J, Dumont M, Goldberg MS, Labréche F, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Devilee P, Tollenaar RA, Seynaeve C, García-Closas M, Chanock SJ, Lissowska J, Figueroa JD, Czene K, Eriksson M, Humphreys K, Darabi H, Hooning MJ, Kriege M, Collée JM, Tilanus-Linthorst M, Li J, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Bogdanova N, Dörk T, Hall P, Chenevix-Trench G, Easton DF, Pharroah PD, Arias-Perez JI, Zamora P, Benítez J, and Milne RL

Subjects
Case-Control Studies, Female, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide genetics, Receptor, Fibroblast Growth Factor, Type 1 genetics, Receptor, Fibroblast Growth Factor, Type 3 genetics, Receptor, Fibroblast Growth Factor, Type 4 genetics, Receptor, Fibroblast Growth Factor, Type 5 genetics, Breast Neoplasms genetics, Genetic Predisposition to Disease, Receptor, Fibroblast Growth Factor, Type 2 genetics
Abstract

Background: Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium., Methods: Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression., Results: Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval=1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2., Conclusion: Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2.

Published
2014
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2. Evaluation of variation in the phosphoinositide-3-kinase catalytic subunit alpha oncogene and breast cancer risk.

Author

Stevens KN, Garcia-Closas M, Fredericksen Z, Kosel M, Pankratz VS, Hopper JL, Dite GS, Apicella C, Southey MC, Schmidt MK, Broeks A, Van 't Veer LJ, Tollenaar RA, Fasching PA, Beckmann MW, Hein A, Ekici AB, Johnson N, Peto J, dos Santos Silva I, Gibson L, Sawyer E, Tomlinson I, Kerin MJ, Chanock S, Lissowska J, Hunter DJ, Hoover RN, Thomas GD, Milne RL, Arias Pérez JI, González-Neira A, Benítez J, Burwinkel B, Meindl A, Schmutzler RK, Bartrar CR, Hamann U, Ko YD, Brüning T, Chang-Claude J, Hein R, Wang-Gohrke S, Dörk T, Schürmann P, Bremer M, Hillemanns P, Bogdanova N, Zalutsky JV, Rogov YI, Antonenkova N, Lindblom A, Margolin S, Mannermaa A, Kataja V, Kosma VM, Hartikainen J, Chenevix-Trench G, Chen X, Peterlongo P, Bonanni B, Bernard L, Manoukian S, Wang X, Cerhan J, Vachon CM, Olson J, Giles GG, Baglietto L, McLean CA, Severi G, John EM, Miron A, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Andrulis I, Knight JA, Glendon G, Mulligan AM, Cox A, Brock IW, Elliott G, Cross SS, Pharoah PP, Dunning AM, Pooley KA, Humphreys MK, Wang J, Kang D, Yoo KY, Noh DY, Sangrajrang S, Gabrieau V, Brennan P, McKay J, Anton-Culver H, Ziogas A, Couch FJ, and Easton DF

Subjects
Breast Neoplasms genetics, Case-Control Studies, Class I Phosphatidylinositol 3-Kinases, Female, Humans, Breast Neoplasms enzymology, Genetic Predisposition to Disease, Genetic Variation, Phosphatidylinositol 3-Kinases genetics
Abstract

Background: Somatic mutations in phosphoinositide-3-kinase catalytic subunit alpha (PIK3CA) are frequent in breast tumours and have been associated with oestrogen receptor (ER) expression, human epidermal growth factor receptor-2 overexpression, lymph node metastasis and poor survival. The goal of this study was to evaluate the association between inherited variation in this oncogene and risk of breast cancer., Methods: A single-nucleotide polymorphism from the PIK3CA locus that was associated with breast cancer in a study of Caucasian breast cancer cases and controls from the Mayo Clinic (MCBCS) was genotyped in 5436 cases and 5280 controls from the Cancer Genetic Markers of Susceptibility (CGEMS) study and in 30 949 cases and 29 788 controls from the Breast Cancer Association Consortium (BCAC)., Results: Rs1607237 was significantly associated with a decreased risk of breast cancer in MCBCS, CGEMS and all studies of white Europeans combined (odds ratio (OR)=0.97, 95% confidence interval (CI) 0.95-0.99, P=4.6 × 10(-3)), but did not reach significance in the BCAC replication study alone (OR=0.98, 95% CI 0.96-1.01, P=0.139)., Conclusion: Common germline variation in PIK3CA does not have a strong influence on the risk of breast cancer.

Published
2011
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3. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

Author

Mavaddat, N., Michailidou, K., Dennis, J., Lush, M., Fachal, L., Lee, A., Tyrer, J. P., Chen, T. H., Wang, Q., Bolla, M. K., Yang, X., Adank, M. A., Ahearn, T., Aittomaki, K., Allen, J., Andrulis, I. L., Anton-Culver, H., Antonenkova, N. N., Arndt, V., Aronson, K. J., Auer, P. L., Auvinen, P., Barrdahl, M., Beane Freeman, L. E., Beckmann, M. W., Behrens, S., Benitez, J., Bermisheva, M., Bernstein, L., Blomqvist, C., Bogdanova, N. V., Bojesen, S. E., Bonanni, B., Borresen-Dale, A. L., Brauch, H., Bremer, M., Brenner, H., Brentnall, A., Brock, I. W., Brooks-Wilson, A., Brucker, S. Y., Bruning, T., Burwinkel, B., Campa, D., Carter, B. D., Castelao Fernández, José Esteban, Chanock, S. J., Chlebowski, R., Christiansen, H., Clarke, C. L., Collee, J. M., Cordina-Duverger, E., Cornelissen, S., Couch, F. J., Cox, A., Cross, S. S., Czene, K., Daly, M. B., Devilee, P., Dork, T., Dos-Santos-Silva, I., Dumont, M., Durcan, L., Dwek, M., Eccles, D. M., Ekici, A. B., Eliassen, A. H., Ellberg, C., Engel, C., Eriksson, M., Evans, D. G., Fasching, P. A., Figueroa, J., Fletcher, O., Flyger, H., Forsti, A., Fritschi, L., Gabrielson, M., Gago Dominguez, Manuela, Gapstur, S. M., Garcia-Saenz, J. A., Gaudet, M. M., Georgoulias, V., Giles, G. G., Gilyazova, I. R., Glendon, G., Goldberg, M. S., Goldgar, D. E., Gonzalez-Neira, A., Grenaker Alnaes, G. I., Grip, M., Gronwald, J., Grundy, A., Guenel, P., Haeberle, L., Hahnen, E., Haiman, C. A., Hakansson, N., Hamann, U., Hankinson, S. E., Muñoz Garzón, Victor, and others

Subjects
Adult, Aged, 80 and over, Multifactorial Inheritance, anciano, humanos, Age Factors, Reproducibility of Results, Breast Neoplasms, neoplasias de la mama, predisposición genética a la enfermedad, Middle Aged, adulto, Risk Assessment, Polymorphism, Single Nucleotide, herencia multifactorial, reproducibilidad de resultados, Receptors, Estrogen, evaluación de riesgos, Humans, Genetic Predisposition to Disease, anamnesis, Female, Medical History Taking, mediana edad, Aged
Abstract

Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.

Published
2019

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