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41 results on '"Perez, J.I."'

9. Development of solar arrays for Argentine satellite missions

Author

Alurralde, M., Barrera, M., Bolzi, C.G., Bruno, C.J., Cabot, P., Carella, E., Di Santo, J., Durán, J.C., Fernández Slezak, D., Fernández Vázquez, J., Filevich, A., Franciulli, C.D., García, J.A., Godfrin, E.M., González, L., Goldbeck, V., Iglesias, A., Martínez Bogado, M.G., Mezzabolta, E., Moglioni, A., Muñoz, S., Nigri, C., Nigro, S.L., Pérez, J.I., Plá, J., Prario, I., Raffo Calderón, M.C., Raggio, D., Rinaldi, C., Rodríguez, S.E., Socolovsky, H., and Tamasi, M.J.L.

Published
2013
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13. Performance of automated scoring of ER, PR, HER2, CK5/6 and EGFR in breast cancer tissue microarrays in the Breast Cancer Association Consortium

Author

Howat, W.J., Blows, F.M., Provenzano, E., Brook, M.N., Morris, L., Gazinska, P., Johnson, N., McDuffus, L.A., Miller, J., Sawyer, E.J., Pinder, S., van Deurzen, C.H., Jones, L., Sironen, R., Visscher, D., Caldas, C., Daley, F., Coulson, P., Broeks, A., Sanders, J., Wesseling, J., Nevanlinna, H., Fagerholm, R., Blomqvist, C., Heikkilä, P., Ali, H.R., Dawson, S.J., Figueroa, J., Lissowska, J., Brinton, L., Mannermaa, A., Kataja, V., Kosma, V.M., Cox, A., Brock, I.W., Cross, S.S., Reed, M.W., Couch, F.J., Olson, J.E., Devillee, P., Mesker, W.E., Seyaneve, C.M., Hollestelle, A., Benitez, J., Perez, J.I., Menéndez, P., Bolla, M.K., Easton, D.F., Schmidt, M.K., Pharoah, P.D., Sherman, M.E., García-Closas, M., Caldas, Carlos [0000-0003-3547-1489], Ali, Raza [0000-0001-7587-0906], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], Apollo - University of Cambridge Repository, Department of Obstetrics and Gynecology, Clinicum, University of Helsinki, Department of Oncology, Department of Pathology, Medicum, Pathology, and Medical Oncology

Subjects
tissue microarrays, SDG 3 - Good Health and Well-being, 3123 Gynaecology and paediatrics, 3122 Cancers, automated scoring, immunohistochemistry, Original Article, Original Articles, breast tumours, digital pathology
Abstract

Breast cancer risk factors and clinical outcomes vary by tumour marker expression. However, individual studies often lack the power required to assess these relationships, and large-scale analyses are limited by the need for high throughput, standardized scoring methods. To address these limitations, we assessed whether automated image analysis of immunohistochemically stained tissue microarrays can permit rapid, standardized scoring of tumour markers from multiple studies. Tissue microarray sections prepared in nine studies containing 20 263 cores from 8267 breast cancers stained for two nuclear (oestrogen receptor, progesterone receptor), two membranous (human epidermal growth factor receptor 2 and epidermal growth factor receptor) and one cytoplasmic (cytokeratin 5/6) marker were scanned as digital images. Automated algorithms were used to score markers in tumour cells using the Ariol system. We compared automated scores against visual reads, and their associations with breast cancer survival. Approximately 65–70% of tissue microarray cores were satisfactory for scoring. Among satisfactory cores, agreement between dichotomous automated and visual scores was highest for oestrogen receptor (Kappa = 0.76), followed by human epidermal growth factor receptor 2 (Kappa = 0.69) and progesterone receptor (Kappa = 0.67). Automated quantitative scores for these markers were associated with hazard ratios for breast cancer mortality in a dose-response manner. Considering visual scores of epidermal growth factor receptor or cytokeratin 5/6 as the reference, automated scoring achieved excellent negative predictive value (96–98%), but yielded many false positives (positive predictive value = 30–32%). For all markers, we observed substantial heterogeneity in automated scoring performance across tissue microarrays. Automated analysis is a potentially useful tool for large-scale, quantitative scoring of immunohistochemically stained tissue microarrays available in consortia. However, continued optimization, rigorous marker-specific quality control measures and standardization of tissue microarray designs, staining and scoring protocols is needed to enhance results.

Published
2015

14. PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS

Author

Southey, M.C., Goldgar, D.E., Winqvist, R., Pylkas, K., Couch, F., Tischkowitz, M., Foulkes, W.D., Dennis, J., Michailidou, K., Rensburg, E.J. van, Heikkinen, T., Nevanlinna, H., Hopper, J.L., Dork, T., Claes, K.B., Reis-Filho, J., Teo, Z.L., Radice, P., Catucci, I., Peterlongo, P., Tsimiklis, H., Odefrey, F.A., Dowty, J.G., Schmidt, M.K., Broeks, A., Hogervorst, F.B., Verhoef, S., Carpenter, J., Clarke, C., Scott, R.J., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Peto, J., Dos-Santos-Silva, I., Fletcher, O., Johnson, N., Bolla, M.K., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Marme, F., Burwinkel, B., Yang, R., Guenel, P., Truong, T., Menegaux, F., Sanchez, M., Bojesen, S., Nielsen, S.F., Flyger, H., Benitez, J., Zamora, M.P., Perez, J.I., Menendez, P., Anton-Culver, H., Neuhausen, S., Ziogas, A., Clarke, C.A., Brenner, H., Arndt, V., Stegmaier, C., Brauch, H., Bruning, T., Ko, Y.D., Muranen, T.A., Aittomaki, K., Blomqvist, C., Bogdanova, N.V., Antonenkova, N.N., Lindblom, A., Margolin, S., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Spurdle, A.B., Wauters, E., Smeets, D., Beuselinck, B., Floris, G., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Olson, J.E., Vachon, C., Pankratz, V.S., McLean, C., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. Le, Kristensen, V., Alnaes, G.G., Zheng, W., Hunter, D.J., Altena, A.M. van, Aben, K.K.H., Kiemeney, L.A.L.M., Massuger, L.F.A.G., et al., Southey, M.C., Goldgar, D.E., Winqvist, R., Pylkas, K., Couch, F., Tischkowitz, M., Foulkes, W.D., Dennis, J., Michailidou, K., Rensburg, E.J. van, Heikkinen, T., Nevanlinna, H., Hopper, J.L., Dork, T., Claes, K.B., Reis-Filho, J., Teo, Z.L., Radice, P., Catucci, I., Peterlongo, P., Tsimiklis, H., Odefrey, F.A., Dowty, J.G., Schmidt, M.K., Broeks, A., Hogervorst, F.B., Verhoef, S., Carpenter, J., Clarke, C., Scott, R.J., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Peto, J., Dos-Santos-Silva, I., Fletcher, O., Johnson, N., Bolla, M.K., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Marme, F., Burwinkel, B., Yang, R., Guenel, P., Truong, T., Menegaux, F., Sanchez, M., Bojesen, S., Nielsen, S.F., Flyger, H., Benitez, J., Zamora, M.P., Perez, J.I., Menendez, P., Anton-Culver, H., Neuhausen, S., Ziogas, A., Clarke, C.A., Brenner, H., Arndt, V., Stegmaier, C., Brauch, H., Bruning, T., Ko, Y.D., Muranen, T.A., Aittomaki, K., Blomqvist, C., Bogdanova, N.V., Antonenkova, N.N., Lindblom, A., Margolin, S., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Spurdle, A.B., Wauters, E., Smeets, D., Beuselinck, B., Floris, G., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Olson, J.E., Vachon, C., Pankratz, V.S., McLean, C., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. Le, Kristensen, V., Alnaes, G.G., Zheng, W., Hunter, D.J., Altena, A.M. van, Aben, K.K.H., Kiemeney, L.A.L.M., Massuger, L.F.A.G., and et al.

Abstract

Contains fulltext : 171115.pdf (publisher's version ) (Open Access), BACKGROUND: The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. METHODS: We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2 c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. RESULTS: For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1x10-5), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p=6.9x10-8) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (pG OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. CONCLUSIONS: This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.

Published
2016

15. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170

Author

Dunning, A.M., Michailidou, K., Kuchenbaecker, K.B., Thompson, D., French, J.D., Beesley, J., Healey, C.S., Kar, S., Pooley, K.A., Lopez-Knowles, E., Dicks, E., Barrowdale, D., Sinnott-Armstrong, N.A., Sallari, R.C., Hillman, K.M., Kaufmann, S., Sivakumaran, H., Marjaneh, M. Moradi, Lee, J.S., Hills, M., Jarosz, M., Drury, S., Canisius, S., Bolla, M.K., Dennis, J., Wang, Q., Hopper, J.L., Southey, M.C., Broeks, A., Schmidt, M.K., Lophatananon, A., Muir, K., Beckmann, M.W., Fasching, P.A., Dos-Santos-Silva, I., Peto, J., Sawyer, E.J., Tomlinson, I., Burwinkel, B., Marme, F., Guenel, P., Truong, T., Bojesen, S.E., Flyger, H., Gonzalez-Neira, A., Perez, J.I., Anton-Culver, H., Eunjung, L., Arndt, V., Brenner, H., Meindl, A., Schmutzler, R.K., Brauch, H., Hamann, U., Aittomaki, K., Blomqvist, C., Ito, H., Matsuo, K., Bogdanova, N., Dork, T., Lindblom, A., Margolin, S., Kosma, V.M., Mannermaa, A., Tseng, C.C., Wu, A.H., Lambrechts, D., Wildiers, H., Chang-Claude, J., Rudolph, A., Peterlongo, P., Radice, P., Olson, J.E., Giles, G.G., Milne, R.L., Haiman, C.A., Henderson, B.E., Goldberg, M.S., Teo, S.H., Yip, C.H., Nord, S., Borresen-Dale, A.L., Kristensen, V., Long, J., Zheng, W., Pylkas, K., Winqvist, R., Andrulis, I.L., Knight, J.A., Devilee, P., Seynaeve, C., Figueroa, J., Sherman, M.E., Czene, K., Darabi, H., Hollestelle, A., Ouweland, A.M. van den, Humphreys, K., Gao, Y.T., Shu, X.O., Mensenkamp, A.R., et al., Dunning, A.M., Michailidou, K., Kuchenbaecker, K.B., Thompson, D., French, J.D., Beesley, J., Healey, C.S., Kar, S., Pooley, K.A., Lopez-Knowles, E., Dicks, E., Barrowdale, D., Sinnott-Armstrong, N.A., Sallari, R.C., Hillman, K.M., Kaufmann, S., Sivakumaran, H., Marjaneh, M. Moradi, Lee, J.S., Hills, M., Jarosz, M., Drury, S., Canisius, S., Bolla, M.K., Dennis, J., Wang, Q., Hopper, J.L., Southey, M.C., Broeks, A., Schmidt, M.K., Lophatananon, A., Muir, K., Beckmann, M.W., Fasching, P.A., Dos-Santos-Silva, I., Peto, J., Sawyer, E.J., Tomlinson, I., Burwinkel, B., Marme, F., Guenel, P., Truong, T., Bojesen, S.E., Flyger, H., Gonzalez-Neira, A., Perez, J.I., Anton-Culver, H., Eunjung, L., Arndt, V., Brenner, H., Meindl, A., Schmutzler, R.K., Brauch, H., Hamann, U., Aittomaki, K., Blomqvist, C., Ito, H., Matsuo, K., Bogdanova, N., Dork, T., Lindblom, A., Margolin, S., Kosma, V.M., Mannermaa, A., Tseng, C.C., Wu, A.H., Lambrechts, D., Wildiers, H., Chang-Claude, J., Rudolph, A., Peterlongo, P., Radice, P., Olson, J.E., Giles, G.G., Milne, R.L., Haiman, C.A., Henderson, B.E., Goldberg, M.S., Teo, S.H., Yip, C.H., Nord, S., Borresen-Dale, A.L., Kristensen, V., Long, J., Zheng, W., Pylkas, K., Winqvist, R., Andrulis, I.L., Knight, J.A., Devilee, P., Seynaeve, C., Figueroa, J., Sherman, M.E., Czene, K., Darabi, H., Hollestelle, A., Ouweland, A.M. van den, Humphreys, K., Gao, Y.T., Shu, X.O., Mensenkamp, A.R., and et al.

Abstract

Item does not contain fulltext, We analyzed 3,872 common genetic variants across the ESR1 locus (encoding estrogen receptor alpha) in 118,816 subjects from three international consortia. We found evidence for at least five independent causal variants, each associated with different phenotype sets, including estrogen receptor (ER(+) or ER(-)) and human ERBB2 (HER2(+) or HER2(-)) tumor subtypes, mammographic density and tumor grade. The best candidate causal variants for ER(-) tumors lie in four separate enhancer elements, and their risk alleles reduce expression of ESR1, RMND1 and CCDC170, whereas the risk alleles of the strongest candidates for the remaining independent causal variant disrupt a silencer element and putatively increase ESR1 and RMND1 expression.

Published
2016

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

Author

Milne, R.L., Burwinkel, B., Michailidou, K., Arias-Perez, J.I., Zamora, M.P., Menendez-Rodriguez, P., Hardisson, D., Mendiola, M., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Dennis, J., Wang, Q., Bolla, M.K., Swerdlow, A., Ashworth, A., Orr, N., Schoemaker, M., Ko, Y.D., Brauch, H., Hamann, U., Andrulis, I.L., Knight, J.A., Glendon, G., Tchatchou, S., Matsuo, K., Ito, H., Iwata, H., Tajima, K., Li, J.M., Brand, J.S., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Lambrechts, D., Peuteman, G., Christiaens, M.R., Smeets, A., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Hartman, M., Hui, M., Lim, W.Y., Chan, C.W., Marme, F., Yang, R.X., Bugert, P., Lindblom, A., Margolin, S., Garcia-Closas, M., Chanock, S.J., Lissowska, J., Figueroa, J.D., Bojesen, S.E., Nordestgaard, B.G., Flyger, H., Hooning, M.J., Kriege, M., Ouweland, A.M.W. van den, Koppert, L.B., Fletcher, O., Johnson, N., Dos-Santos-Silva, I., Peto, J., Zheng, W., Deming-Halverson, S., Shrubsole, M.J., Long, J.R., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Cox, A., Cross, S.S., Reed, M.W.R., Schmidt, M.K., Broeks, A., Cornelissen, S., Braaf, L., Kang, D., Choi, J.Y., Park, S.K., Noh, D.Y., Simard, J., Dumont, M., Goldberg, M.S., Labreche, F., Fasching, P.A., Hein, A., Ekici, A.B., Beckmann, M.W., Radice, P., Peterlongo, P., Azzollini, J., Barile, M., Sawyer, E., Tomlinson, I., Kerin, M., Miller, N., Hopper, J.L., Schmidt, D.F., Makalic, E., Southey, M.C., Teo, S.H., Yip, C.H., Sivanandan, K., Tay, W.T., Shen, C.Y., Hsiung, C.N., Yu, J.C., Hou, M.F., Guenel, P., Truong, T., Sanchez, M., Mulot, C., Blot, W., Cai, Q.Y., Nevanlinna, H., Muranen, T.A., Aittomaki, K., Blomqvist, C., Wu, A.H., Tseng, C.C., Berg, D. van den, Stram, D.O., Bogdanova, N., Dork, T., Muir, K., Lophatananon, A., Stewart-Brown, S., Siriwanarangsan, P., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Shu, X.O., Lu, W., Gao, Y.T., Zhang, B., Couch, F.J., Toland, A.E., Yannoukakos, D., Sangrajrang, S., McKay, J., Wang, X.S., Olson, J.E., Vachon, C., Purrington, K., Severi, G., Baglietto, L., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Czene, K., Eriksson, M., Humphreys, K., Darabi, H., Ahmed, S., Shah, M., Pharoah, P.D.P., Hall, P., Giles, G.G., Benitez, J., Dunning, A.M., Chenevix-Trench, G., Easton, D.F., GENICA Network, kConFab Investigators, Australian Ovarian Canc Study Grp, TNBCC, Dennis, Joe [0000-0003-4591-1214], Wang, Jean [0000-0002-9139-0627], Pharoah, Paul [0000-0001-8494-732X], Dunning, Alison [0000-0001-6651-7166], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
Adult, Ataxin-7, A Kinase Anchor Proteins, Breast Neoplasms, Nerve Tissue Proteins, Middle Aged, Protein Serine-Threonine Kinases, Polymorphism, Single Nucleotide, Cytoskeletal Proteins, Case-Control Studies, Humans, NIMA-Related Kinases, Female, Genetic Predisposition to Disease, health care economics and organizations, Alleles, Genome-Wide Association Study
Abstract

Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility\ud variants, although most studies have been underpowered to detect associations of a realistic magnitude.\ud We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which\ud evidence of association with breast cancer risk had been previously reported. Case-control data were combined\ud from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional\ud logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21\ud [rs1053338, per allele OR 5 1.07, 95% confidence interval (CI) 5 1.04–1.10, P 5 2.9 3 1026\ud ], AKAP9-M463I at\ud 7q21 (rs6964587, OR 5 1.05, 95% CI 5 1.03–1.07, P 5 1.7 3 1026\ud ) and NEK10-L513S at 3p24 (rs10510592,\ud OR 5 1.10, 95% CI 5 1.07 –1.12, P 5 5.1 3 10217). The first two associations reached genome-wide statistical\ud significance in a combined analysis of available data, including independent data from nine genome-wide association\ud studies (GWASs): for ATXN7-K264R, OR 5 1.07 (95% CI 5 1.05–1.10, P 5 1.0 3 1028\ud ); for AKAP9-M463I,\ud OR 5 1.05 (95% CI 5 1.04–1.07, P 5 2.0 3 10210). Further analysis of other common variants in these two\ud regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified\ud a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is\ud associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility\ud region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of\ud the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast\ud cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying\ud variants and the genes through which they act.

Published
2014

17. Genetic variation at CYP3A is associated with age at menarche and breast cancer risk: a case-control study

Author

Johnson, N., Dudbridge, F., Orr, N., Gibson, L., Jones, M.E., Schoemaker, M.J., Folkerd, E.J., Haynes, B.P., Hopper, J.L., Southey, M.C., Dite, G.S., Apicella, C., Schmidt, M.K., Broeks, A., Van't Veer, L.J., Atsma, F., Muir, K., Lophatananon, A., Fasching, P.A., Beckmann, M.W., Ekici, A.B., Renner, S.P., Sawyer, E., Tomlinson, I., Kerin, M., Miller, N., Burwinkel, B., Marme, F., Schneeweiss, A., Sohn, C., Guenel, P., Truong, T., Cordina, E., Menegaux, F., Bojesen, S.E., Nordestgaard, B.G., Flyger, H., Milne, R., Zamora, M.P., Arias Perez, J.I., Benitez, J., Bernstein, L., Anton-Culver, H., Ziogas, A., Dur, C.C., Brenner, H., Mueller, H., Arndt, V., Dieffenbach, A.K., Meindl, A., Heil, J., Bartram, C.R., Schmutzler, R.K., Brauch, H., Justenhoven, C., Ko, Y-D., Nevanlinna, H., Muranen, T.A., Aittomaeki, K., Blomqvist, C., Matsuo, K., Doerk, T., Bogdanova, NV., Antonenkova, N.N., Lindblom, A., Mannermaa, A., Kataja, V., Kosma, V-M., Hartikainen, J.M., Chenevix-Trench, G., Beesley, J., Wu, A.H., Van den Berg, D., Tseng, C-C., Lambrechts, D., Smeets, D., Neven, P., Wildiers, H., Chang-Claude, J., Rudolph, A., Nickels, S., Flesch-Janys, D., Radice, P., Peterlongo, P., Bonanni, B., Pensotti, V., Couch, F.J., Olson, J.E., Wang, X., Fredericksen, Z., Pankratz, V.S., Giles, G.G., Severi, G., Baglietto, L., Haiman, C., Simard, J., Goldberg, M.S., Labreche, F., Dumont, M., Soucy, P., Teo, S., Yip, C.H., Phuah, S.Y., Cornes, B.K., Kristensen, V.N., Alnaes, G.G., Borresen-Dale, A-L., Zheng, W., Winqvist, R., Pylkaes, K., Jukkola-Vuorinen, A., Grip, M., Andrulis, I.L, Knight, J.A., Glendon, G., Mulligan, A.M., Devillee, P., Figueroa, J., Chanock, S.J., Lissowska, J., Sherman, M.E., Hall, P., Schoof, N., Hooning, M., Hollestelle, A., Oldenburg, R.A., Tilanus-Linthorst, M., Liu, J., Cox, A., Brock, I.W., Reed, M.W.R., Cross, S.S., Blot, W., Signorello, L.B., Pharoah, P.D.P., Dunning, A.M., Shah, M., Kang, D., Noh, D-Y., Park, S.K., Choi, J-Y., Hartman, M., Miao, H., Lim, W.Y., Tang, A., Hamann, U., Foersti, A., Ruediger, T., Ulmer, H.U., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Sangrajrang, S., Gaborieau, V., Brennan, P., Mckay, J., Slager, S., Toland, A.E., Vachon, C., Yannoukakos, D., Shen, C-Y., Yu, J-C., Huang, C-S., Hou, M-F., Gonzalez-Neira, A., Tessier, D.C., Vincent, D., Bacot, F., Luccarini, C., Dennis, J., Michailidou, K., Bolla, M.K., Wang, J., Easton, D.F., Garcia-Closas, M., Dowsett, M., Ashworth, A., Swerdlow, A.J., Peto, J., Silva, I.D.S., Fletcher, O., Breast, G.E.I., Investigators, K., Grp, AOCS, Pharoah, Paul [0000-0001-8494-732X], Dunning, Alison [0000-0001-6651-7166], Dennis, Joe [0000-0003-4591-1214], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
Adult, Menarche, Genotype, Age Factors, Breast Neoplasms, Middle Aged, Polymorphism, Single Nucleotide, White People, Premenopause, Risk Factors, Cytochrome P-450 CYP3A, Humans, Female, Genetic Predisposition to Disease, Age of Onset, Reproductive History, Genetic Association Studies, Aged
Abstract

Introduction: We have previously shown that a tag single nucleotide polymorphism (rs10235235), which maps to\ud the CYP3A locus (7q22.1), was associated with a reduction in premenopausal urinary estrone glucuronide levels and\ud a modest reduction in risk of breast cancer in women age ≤50 years.\ud Methods: We further investigated the association of rs10235235 with breast cancer risk in a large case control study of\ud 47,346 cases and 47,570 controls from 52 studies participating in the Breast Cancer Association Consortium. Genotyping\ud of rs10235235 was conducted using a custom Illumina Infinium array. Stratified analyses were conducted to determine\ud whether this association was modified by age at diagnosis, ethnicity, age at menarche or tumor characteristics.\ud Results: We confirmed the association of rs10235235 with breast cancer risk for women of European ancestry but found\ud no evidence that this association differed with age at diagnosis. Heterozygote and homozygote odds ratios (ORs) were\ud OR = 0.98 (95% CI 0.94, 1.01; P = 0.2) and OR = 0.80 (95% CI 0.69, 0.93; P = 0.004), respectively (Ptrend = 0.02). There was\ud no evidence of effect modification by tumor characteristics. rs10235235 was, however, associated with age at menarche\ud in controls (Ptrend = 0.005) but not cases (Ptrend = 0.97). Consequently the association between rs10235235 and breast\ud cancer risk differed according to age at menarche (Phet = 0.02); the rare allele of rs10235235 was associated with a\ud reduction in breast cancer risk for women who had their menarche age ≥15 years (ORhet = 0.84, 95% CI 0.75, 0.94;\ud ORhom = 0.81, 95% CI 0.51, 1.30; Ptrend = 0.002) but not for those who had their menarche age ≤11 years (ORhet = 1.06,\ud 95% CI 0.95, 1.19, ORhom = 1.07, 95% CI 0.67, 1.72; Ptrend = 0.29).\ud Conclusions: To our knowledge rs10235235 is the first single nucleotide polymorphism to be associated with both\ud breast cancer risk and age at menarche consistent with the well-documented association between later age at menarche\ud and a reduction in breast cancer risk. These associations are likely mediated via an effect on circulating hormone levels.

Published
2014

18. Comparison of 6q25 Breast Cancer Hits from Asian and\ud European Genome Wide Association Studies in the\ud Breast Cancer Association Consortium (BCAC)

Author

Hein, R., Maranian, M., Hopper, J.L., Kapuscinski, M.K., Southey, M.C., Park, D.J., Schmidt, M.K., Broeks, A., Hogervorst, F.B.L., Bueno-de-Mesquit, H.B., Muir, K.R., Lophatananon, A., Rattanamongkongul, S., Puttawibul, P., Fasching, P.A., Hein, A., Ekici, A.B., Beckmann, M.W., Fletcher, O., Johnson, N., Silva, I.D.S., Peto, J., Sawyer, E., Tomlinson, I., Kerin, M., Miller, N., Marmee, F., Schneeweiss, A., Sohn, C., Burwinkel, B., Guenel, P., Cordina-Duverger, E., Menegaux, F., Truong, T., Bojesen, S.E., Nordestgaard, B.G., Flyger, H., Milne, R.L., Arias Perez, J.I., Pilar Zamora, M., Benitez, J., Anton-Culver, H., Ziogas, A., Bernstein, L., Clarke, C.A., Brenner, H., Mueller, H., Arndt, V., Stegmaier, C., Rahman, N., Seal, S., Turnbull, C., Renwick, A., Meindl, A., Schott, S., Bartram, C.R., Schmutzler, R.K., Brauch, H., Hamann, U., Ko, Y-D., Wang-Gohrke, S., Doerk, T., Schuermann, P., Karstens, J.H., Hillemanns, P., Nevanlinna, H., Heikkinen, T., Aittomaki, K., Blomqvist, C., Bogdanova, N.V., Zalutsky, I.V., Antonenkova, N.N., Bermisheva, M., Prokovieva, D., Farahtdinova, A., Khusnutdinova, E., Lindblom, A., Margolin, S., Mannermaa, A., Kataja, V., Kosma, V-M., Hartikainen, J., Chen, X., Beesley, J., Lambrechts, D., Zhao, H., Neven, P., Wildiers, H., Nickels, S., Flesch-Janys, D., Radice, P., Peterlongo, P., Manoukian, S., Barile, M., Couch, F.J., Olson, J.E., Wang, X., Fredericksen, Z., Giles, G.G., Baglietto, L., McLean, C.A., Severi, G., Offit, K., Robson, M., Gaudet, M.M., Vijai, J., Alnaes, G.G., Kristensen, V., Borresen-Dale, A-L., John, E.M., Miron, A., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Andrulis, I.L., Knight, J.A., Glendon, G., Mulligan, A.M., Figueroa, J.D., Garcia-Closas, M., Lissowska, J., Sherman, M.E., Hooning, M., Martens, J.W.M., Seynaeve, C., Collee, M., Hall, P., Humpreys, K., Czene, K., Liu, J., Cox, A., Brock, I.W., Cross, S.S., Reed, M.W.R., Ahmed, S., Ghoussaini, M., Pharoah, P.D.P., Kang, D., Yoo, K-Y., Noh, D-Y., Jakubowska, A., Jaworska, K., Durda, K., Zlowocka, E., Sangrajrang, S., Gaborieau, V., Brennan, P., McKay, J., Shen, C-Y., Yu, J-C., Hsu, H-M., Hou, M-F., Orr, N., Schoemaker, M., Ashworth, A., Swerdlow, A., Trentham-Dietz, A., Newcomb, P.A., Titus, L., Egan, K.M., Chenevix-Trench, G., Antoniou, A.C., Humphreys, M.K., Morrison, J., Chang-Claude, J., Easton, D.F., Dunning, A.M., Network, GENICA, Investigators, K, and Group, AOCS

Abstract

The 6q25.1 locus was first identified via a genome-wide association study (GWAS) in Chinese women and marked by single\ud nucleotide polymorphism (SNP) rs2046210, approximately 180 Kb upstream of ESR1. There have been conflicting reports\ud about the association of this locus with breast cancer in Europeans, and a GWAS in Europeans identified a different SNP,\ud tagged here by rs12662670. We examined the associations of both SNPs in up to 61,689 cases and 58,822 controls from fortyfour\ud studies collaborating in the Breast Cancer Association Consortium, of which four studies were of Asian and 39 of European\ud descent. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). Case-only analyses were\ud used to compare SNP effects in Estrogen Receptor positive (ER+) versus negative (ER2) tumours. Models including both SNPs\ud were fitted to investigate whether the SNP effects were independent. Both SNPs are significantly associated with breast cancer\ud risk in both ethnic groups. Per-allele ORs are higher in Asian than in European studies [rs2046210: OR (A/G) = 1.36 (95% CI 1.26–\ud 1.48), p = 7.6610214 in Asians and 1.09 (95% CI 1.07–1.11), p = 6.8610218 in Europeans. rs12662670: OR (G/T) = 1.29 (95% CI\ud 1.19–1.41), p = 1.261029 in Asians and 1.12 (95% CI 1.08–1.17), p = 3.861029 in Europeans]. SNP rs2046210 is associated with a\ud significantly greater risk of ER2 than ER+ tumours in Europeans [OR (ER2) = 1.20 (95% CI 1.15–1.25), p = 1.8610217 versus OR\ud (ER+) = 1.07 (95% CI 1.04–1.1), p = 1.361027\ud , pheterogeneity = 5.161026\ud ]. In these Asian studies, by contrast, there is no clear\ud evidence of a differential association by tumour receptor status. Each SNP is associated with risk after adjustment for the other\ud SNP. These results suggest the presence of two variants at 6q25.1 each independently associated with breast cancer risk in\ud Asians and in Europeans. Of these two, the one tagged by rs2046210 is associated with a greater risk of ER2 tumours.

Published
2012

19. Identification of new genetic susceptibility loci for breast cancer through consideration of gene-environment interactions

Author

Schoeps, A., Rudolph, A., Seibold, P., Dunning, A.M., Milne, R.L., Bojesen, S.E., Swerdlow, A., Andrulis, I., Brenner, H., Behrens, S., Orr, N., Jones, M., Ashworth, A., Li, J., Cramp, H., Connley, D., Czene, K., Darabi, H., Chanock, S.J., Lissowska, J., Figueroa, J.D., Knight, J., Glendon, G., Mulligan, A.M., Dumont, M., Severi, G., Baglietto, L., Olson, J., Vachon, C., Purrington, K., Moisse, M., Neven, P., Wildiers, H., Spurdle, A., Kosma, V.M., Kataja, V., Hartikainen, J.M., Hamann, U., Ko, Y.D., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Malats, N., Perez, J.I., Benitez, J., Flyger, H., Nordestgaard, B.G., Truong, T., Cordina-Duverger, E., Menegaux, F., dos Santos Silva, I., Fletcher, O., Johnson, N., Haberle, L., Beckmann, M.W., Ekici, A.B., Braaf, L., Atsma, F., Broek, A.J. van den, Makalic, E., Schmidt, D.F., Southey, M.C., Cox, A, Simard, J., Giles, G.G., Lambrechts, D., Mannermaa, A., Brauch, H., Guenel, P., Peto, J., Fasching, P.A., Hopper, J., Flesch-Janys, D., Couch, F., Chenevix-Trench, G., Pharoah, P.D., Garcia-Closas, M., Schmidt, M.K., Hall, P., Easton, D.F., Chang-Claude, J., Schoeps, A., Rudolph, A., Seibold, P., Dunning, A.M., Milne, R.L., Bojesen, S.E., Swerdlow, A., Andrulis, I., Brenner, H., Behrens, S., Orr, N., Jones, M., Ashworth, A., Li, J., Cramp, H., Connley, D., Czene, K., Darabi, H., Chanock, S.J., Lissowska, J., Figueroa, J.D., Knight, J., Glendon, G., Mulligan, A.M., Dumont, M., Severi, G., Baglietto, L., Olson, J., Vachon, C., Purrington, K., Moisse, M., Neven, P., Wildiers, H., Spurdle, A., Kosma, V.M., Kataja, V., Hartikainen, J.M., Hamann, U., Ko, Y.D., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Malats, N., Perez, J.I., Benitez, J., Flyger, H., Nordestgaard, B.G., Truong, T., Cordina-Duverger, E., Menegaux, F., dos Santos Silva, I., Fletcher, O., Johnson, N., Haberle, L., Beckmann, M.W., Ekici, A.B., Braaf, L., Atsma, F., Broek, A.J. van den, Makalic, E., Schmidt, D.F., Southey, M.C., Cox, A, Simard, J., Giles, G.G., Lambrechts, D., Mannermaa, A., Brauch, H., Guenel, P., Peto, J., Fasching, P.A., Hopper, J., Flesch-Janys, D., Couch, F., Chenevix-Trench, G., Pharoah, P.D., Garcia-Closas, M., Schmidt, M.K., Hall, P., Easton, D.F., and Chang-Claude, J.

Abstract

Item does not contain fulltext, Genes that alter disease risk only in combination with certain environmental exposures may not be detected in genetic association analysis. By using methods accounting for gene-environment (G x E) interaction, we aimed to identify novel genetic loci associated with breast cancer risk. Up to 34,475 cases and 34,786 controls of European ancestry from up to 23 studies in the Breast Cancer Association Consortium were included. Overall, 71,527 single nucleotide polymorphisms (SNPs), enriched for association with breast cancer, were tested for interaction with 10 environmental risk factors using three recently proposed hybrid methods and a joint test of association and interaction. Analyses were adjusted for age, study, population stratification, and confounding factors as applicable. Three SNPs in two independent loci showed statistically significant association: SNPs rs10483028 and rs2242714 in perfect linkage disequilibrium on chromosome 21 and rs12197388 in ARID1B on chromosome 6. While rs12197388 was identified using the joint test with parity and with age at menarche (P-values = 3 x 10(-07)), the variants on chromosome 21 q22.12, which showed interaction with adult body mass index (BMI) in 8,891 postmenopausal women, were identified by all methods applied. SNP rs10483028 was associated with breast cancer in women with a BMI below 25 kg/m(2) (OR = 1.26, 95% CI 1.15-1.38) but not in women with a BMI of 30 kg/m(2) or higher (OR = 0.89, 95% CI 0.72-1.11, P for interaction = 3.2 x 10(-05)). Our findings confirm comparable power of the recent methods for detecting G x E interaction and the utility of using G x E interaction analyses to identify new susceptibility loci.

Published
2014

20. Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes: findings from the Breast Cancer Association Consortium

Author

Broeks, A., Schmidt, M.K., Sherman, M.E., Couch, F.J., Hopper, J.L., Dite, G.S., Apicella, C., Smith, L.D., Hammet, F., Southey, M.C., Veer, L.J. van 't, Groot, R. de, Smit, V.T., Fasching, P.A., Beckmann, M.W., Jud, S., Ekici, A.B., Hartmann, A., Hein, A., Schulz-Wendtland, R., Burwinkel, B., Marme, F., Schneeweiss, A., Sinn, H.P., Sohn, C., Tchatchou, S., Bojesen, S.E., Nordestgaard, B.G., Flyger, H., Orsted, D.D., Kaur-Knudsen, D., Milne, R.L., Perez, J.I., Zamora, P., Rodriguez, P.M., Benitez, J., Brauch, H., Justenhoven, C., Ko, Y.D., Hamann, U., Fischer, H.P., Bruning, T., Pesch, B., Chang-Claude, J., Wang-Gohrke, S., Bremer, M., Karstens, J.H., Hillemanns, P., Dork, T., Nevanlinna, H.A., Heikkinen, T., Heikkila, P., Blomqvist, C., Aittomaki, K., Aaltonen, K., Lindblom, A., Margolin, S., Mannermaa, A., Kosma, V.M., Kauppinen, J.M., Kataja, V., Auvinen, P., Eskelinen, M., Soini, Y., Chenevix-Trench, G., Spurdle, A.B., Beesley, J., Chen, X., Holland, H., Lambrechts, D., Claes, B., Vandorpe, T., Neven, P., Wildiers, H., Flesch-Janys, D., Hein, R., Loning, T., Kosel, M., Fredericksen, Z.S., Wang, X., Giles, G.G., Baglietto, L., Severi, G., McLean, C., Haiman, C.A., Henderson, B.E., Marchand, L. le, Kolonel, L.N., Alnaes, G.G., Kristensen, V., Borresen-Dale, A.L., Hunter, D.J., Hankinson, S.E., Andrulis, I.L., Mulligan, A.M., O'Malley, F.P., Devilee, P., Huijts, P.E., Tollenaar, R.A.E.M., Asperen, C.J. van, Broeks, A., Schmidt, M.K., Sherman, M.E., Couch, F.J., Hopper, J.L., Dite, G.S., Apicella, C., Smith, L.D., Hammet, F., Southey, M.C., Veer, L.J. van 't, Groot, R. de, Smit, V.T., Fasching, P.A., Beckmann, M.W., Jud, S., Ekici, A.B., Hartmann, A., Hein, A., Schulz-Wendtland, R., Burwinkel, B., Marme, F., Schneeweiss, A., Sinn, H.P., Sohn, C., Tchatchou, S., Bojesen, S.E., Nordestgaard, B.G., Flyger, H., Orsted, D.D., Kaur-Knudsen, D., Milne, R.L., Perez, J.I., Zamora, P., Rodriguez, P.M., Benitez, J., Brauch, H., Justenhoven, C., Ko, Y.D., Hamann, U., Fischer, H.P., Bruning, T., Pesch, B., Chang-Claude, J., Wang-Gohrke, S., Bremer, M., Karstens, J.H., Hillemanns, P., Dork, T., Nevanlinna, H.A., Heikkinen, T., Heikkila, P., Blomqvist, C., Aittomaki, K., Aaltonen, K., Lindblom, A., Margolin, S., Mannermaa, A., Kosma, V.M., Kauppinen, J.M., Kataja, V., Auvinen, P., Eskelinen, M., Soini, Y., Chenevix-Trench, G., Spurdle, A.B., Beesley, J., Chen, X., Holland, H., Lambrechts, D., Claes, B., Vandorpe, T., Neven, P., Wildiers, H., Flesch-Janys, D., Hein, R., Loning, T., Kosel, M., Fredericksen, Z.S., Wang, X., Giles, G.G., Baglietto, L., Severi, G., McLean, C., Haiman, C.A., Henderson, B.E., Marchand, L. le, Kolonel, L.N., Alnaes, G.G., Kristensen, V., Borresen-Dale, A.L., Hunter, D.J., Hankinson, S.E., Andrulis, I.L., Mulligan, A.M., O'Malley, F.P., Devilee, P., Huijts, P.E., Tollenaar, R.A.E.M., and Asperen, C.J. van

Abstract

Contains fulltext : 96071.pdf (publisher's version ) (Closed access), Breast cancers demonstrate substantial biological, clinical and etiological heterogeneity. We investigated breast cancer risk associations of eight susceptibility loci identified in GWAS and two putative susceptibility loci in candidate genes in relation to specific breast tumor subtypes. Subtypes were defined by five markers (ER, PR, HER2, CK5/6, EGFR) and other pathological and clinical features. Analyses included up to 30 040 invasive breast cancer cases and 53 692 controls from 31 studies within the Breast Cancer Association Consortium. We confirmed previous reports of stronger associations with ER+ than ER- tumors for six of the eight loci identified in GWAS: rs2981582 (10q26) (P-heterogeneity = 6.1 x 10(-18)), rs3803662 (16q12) (P = 3.7 x 10(-5)), rs13281615 (8q24) (P = 0.002), rs13387042 (2q35) (P = 0.006), rs4973768 (3p24) (P = 0.003) and rs6504950 (17q23) (P = 0.002). The two candidate loci, CASP8 (rs1045485, rs17468277) and TGFB1 (rs1982073), were most strongly related with the risk of PR negative tumors (P = 5.1 x 10(-6) and P = 4.1 x 10(-4), respectively), as previously suggested. Four of the eight loci identified in GWAS were associated with triple negative tumors (P

Published
2011

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