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Your search keyword '"Michailidou K."' showing total 6 results
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6 results on '"Michailidou K."'

1. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

Author

Ashworth, Alan, Michailidou, K, Beesley, J, Lindstrom, S, Canisius, S, Dennis, J, Lush, MJ, Maranian, MJ, Bolla, MK, Wang, Q, and Shah, M

Abstract

© 2015 Nature America, Inc. All rights reserved.Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To ide

Published
2015

2. Prediction of breast cancer risk based on profiling with common genetic variants

Author

Ashworth, Alan, Mavaddat, N, Pharoah, PDP, Michailidou, K, Tyrer, J, Brook, MN, Bolla, MK, Wang, Q, Dennis, J, Dunning, AM, and Shah, M

Abstract

© 2015 © The Author 2015. Published by Oxford University Press.Background: Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preven

Published
2015

3. Common non-synonymous SNPs associated with breast cancer susceptibility: Findings from the Breast Cancer Association Consortium

Author

Ashworth, Alan, Milne, RL, Burwinkel, B, Michailidou, K, Arias, JI, Pilar, M, Menéndez-Rodríguez, P, Hardisson, D, Mendiola, M, González-Neira, A, and Pita, G

Abstract

© The Author 2014. Published by Oxford University Press. All rights reserved.Candidate variant association studies havebeenlargely unsuccessful in identifyingcommonbreast cancer susceptibility variants, although most studies have been underpowered to detec

Published
2014

4. MicroRNA related polymorphisms and breast cancer risk

Author

Ashworth, Alan, Van 'T Veer, Laura, Khan, S, Greco, D, Michailidou, K, Milne, RL, Muranen, TA, Heikkinen, T, Aaltonen, K, Dennis, J, Bolla, MK, and Liu, J

Abstract

Genetic variations, such as single nucleotide polymorphisms (SNPs) in microRNAs (miRNA) or in the miRNA binding sites may affect the miRNA dependent gene expression regulation, which has been implicated in various cancers, including breast cancer, and may

Published
2014

5. 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, L, Alonso, M, Dennis, J, Wang, Q, Bolla, M, Meyer, K, Menéndez-Rodríguez, P, Hardisson, D, Mendiola, M, González-Neira, A, Lindblom, A, Margolin, S, Swerdlow, A, Orr, N, Jones, M, Matsuo, K, Ito, H, Iwata, H, Kondo, N, Hartman, M, Hui, M, Lim, W, Iau, P, Sawyer, E, Tomlinson, I, Kerin, M, Miller, N, Kang, D, Choi, J-Y, Park, S, Noh, D-Y, Hopper, J, Schmidt, D, Makalic, E, Southey, M, Teo, S, Yip, C, Sivanandan, K, Tay, W-T, Brauch, H, Brüning, T, Hamann, U, Dunning, A, Shah, M, Andrulis, I, Knight, J, Glendon, G, Tchatchou, S, Schmidt, M, Broeks, A, Rosenberg, E, vant Veer, L, Fasching, P, Renner, S, Ekici, A, Beckmann, M, Shen, C-Y, Hsiung, C-N, Yu, J-C, Hou, M-F, Blot, W, Cai, Q, Tseng, C-C, Van Den Berg, D, Stram, D, Cox, A, Brock, I, Reed, M, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Zheng, W, Deming-Halverson, S, Shrubsole, M, Long, J, Shu, X-O, Lu, W, Gao, Y-T, Zhang, B, Radice, P, Peterlongo, P, Manoukian, S, Mariette, F, Sangrajrang, S, McKay, J, Couch, F, Toland, A, Yannoukakos, D, Fletcher, O, Johnson, N, dos Santos Silva, I, Peto, J, Marme, F, and Burwinkel, B

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

6. FGF receptor genes and breast cancer susceptibility: Results from the Breast Cancer Association Consortium

Author

Van 'T Veer, Laura, Wu, Alan, Ashworth, Alan, Agarwal, D, Pineda, S, Michailidou, K, Herranz, J, Pita, G, Moreno, LT, Alonso, MR, Dennis, J, Wang, Q, and Bolla, MK

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 ris

Published
2014

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