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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. 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

5. 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

6. Combination of phenotype and polygenic risk score in breast cancer risk evaluation in the Spanish population: a case –control study

Author

Triviño, J. C., Ceba, A., Rubio-Solsona, E., Serra, D., Sanchez-Guiu, I., Ribas, G., Rosa, R., Cabo, M., Bernad, L., Pita, G., Gonzalez-Neira, A., Legarda, G., Diaz, J. L., García-Vigara, A., Martínez-Aspas, A., Escrig, M., Bermejo, B., Eroles, P., Ibáñez, J., Salas, D., Julve, A., Cano, A., Lluch, A., Miñambres, R., and Benitez, J.

Published
2020
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7. CO2 balance of boreal, temperate, and tropical forests derived from a global database

Author

LUYSSAERT, S, INGLIMA, I, JUNG, M, RICHARDSON, AD, REICHSTEIN, M, PAPALE, D, PIAO, SL, SCHULZE, E‐D, WINGATE, L, MATTEUCCI, G, ARAGAO, L, AUBINET, M, BEER, C, BERNHOFER, C, BLACK, KG, BONAL, D, BONNEFOND, J‐M, CHAMBERS, J, CIAIS, P, COOK, B, DAVIS, KJ, DOLMAN, AJ, GIELEN, B, GOULDEN, M, GRACE, J, GRANIER, A, GRELLE, A, GRIFFIS, T, GRÜNWALD, T, GUIDOLOTTI, G, HANSON, PJ, HARDING, R, HOLLINGER, DY, HUTYRA, LR, KOLARI, P, KRUIJT, B, KUTSCH, W, LAGERGREN, F, LAURILA, T, LAW, BE, LE MAIRE, G, LINDROTH, A, LOUSTAU, D, MALHI, Y, MATEUS, J, MIGLIAVACCA, M, MISSON, L, MONTAGNANI, L, MONCRIEFF, J, MOORS, E, MUNGER, JW, NIKINMAA, E, OLLINGER, SV, PITA, G, REBMANN, C, ROUPSARD, O, SAIGUSA, N, SANZ, MJ, SEUFERT, G, SIERRA, C, SMITH, M‐L, TANG, J, VALENTINI, R, VESALA, T, and JANSSENS, IA

Subjects
Climate Action, carbon cycle, CO2, forest ecosystems, global database, gross primary productivity, net ecosystem productivity, net primary productivity, Environmental Sciences, Biological Sciences, Ecology
Abstract

Terrestrial ecosystems sequester 2.1 Pg of atmospheric carbon annually. A large amount of the terrestrial sink is realized by forests. However, considerable uncertainties remain regarding the fate of this carbon over both short and long timescales. Relevant data to address these uncertainties are being collected at many sites around the world, but syntheses of these data are still sparse. To facilitate future synthesis activities, we have assembled a comprehensive global database for forest ecosystems, which includes carbon budget variables (fluxes and stocks), ecosystem traits (e.g. leaf area index, age), as well as ancillary site information such as management regime, climate, and soil characteristics. This publicly available database can be used to quantify global, regional or biome-specific carbon budgets; to re-examine established relationships; to test emerging hypotheses about ecosystem functioning [e.g. a constant net ecosystem production (NEP) to gross primary production (GPP) ratio]; and as benchmarks for model evaluations. In this paper, we present the first analysis of this database. We discuss the climatic influences on GPP, net primary production (NPP) and NEP and present the CO2 balances for boreal, temperate, and tropical forest biomes based on micrometeorological, ecophysiological, and biometric flux and inventory estimates. Globally, GPP of forests benefited from higher temperatures and precipitation whereas NPP saturated above either a threshold of 1500 mm precipitation or a mean annual temperature of 10 °C. The global pattern in NEP was insensitive to climate and is hypothesized to be mainly determined by nonclimatic conditions such as successional stage, management, site history, and site disturbance. In all biomes, closing the CO2 balance required the introduction of substantial biome-specific closure terms. Nonclosure was taken as an indication that respiratory processes, advection, and non-CO2 carbon fluxes are not presently being adequately accounted for. © 2007 Blackwell Publishing Ltd.

Published
2007

15. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author

Ahearn, TU, Zhang, H, Michailidou, K, Milne, RL, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baten, A, Becher, H, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bojesen, SE, Bonanni, B, Børresen-Dale, A-L, Brauch, H, Brenner, H, Brooks-Wilson, A, Brüning, T, Burwinkel, B, Buys, SS, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Sahlberg, KK, Ottestad, L, Kåresen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebråten, O, Naume, B, Fosså, A, Kiserud, CE, Reinertsen, KV, Helland, Å, Riis, M, Geisler, J, Collée, JM, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dörk, T, Dwek, M, Eccles, DM, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Gago-Dominguez, M, Gapstur, SM, García-Sáenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, González-Neira, A, Alnæs, GIG, Grip, M, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Clarke, C, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, C, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Fox, S, Campbell, I, Bowtell, D, Spurdle, A, Webb, P, de Fazio, A, Tassell, M, Kirk, J, Lindeman, G, Price, M, Southey, M, Milne, R, Deb, S, Jakimovska, M, Jakubowska, A, John, EM, Jones, ME, Jung, A, Kaaks, R, Kauppila, S, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Koutros, S, Kristensen, VN, Krüger, U, Kubelka-Sabit, K, Kurian, AW, Kyriacou, K, Lambrechts, D, Lee, DG, Lindblom, A, Linet, M, Lissowska, J, Llaneza, A, Lo, W-Y, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, McLean, C, Meindl, A, Menon, U, Nevanlinna, H, Newman, WG, Nodora, J, Offit, K, Olsson, H, Orr, N, Park-Simon, T-W, Patel, AV, Peto, J, Pita, G, Plaseska-Karanfilska, D, Prentice, R, Punie, K, Pylkäs, K, Radice, P, Rennert, G, Romero, A, Rüdiger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Schoemaker, MJ, Schöttker, B, Sherman, ME, Shu, X-O, Smichkoska, S, Southey, MC, Spinelli, JJ, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Teras, LR, Terry, MB, Torres, D, Troester, MA, Vachon, CM, van Deurzen, CHM, van Veen, EM, Wagner, P, Weinberg, CR, Wendt, C, Wesseling, J, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Couch, FJ, Simard, J, Kraft, P, Easton, DF, Pharoah, PDP, Schmidt, MK, García-Closas, M, Chatterjee, N, Ahearn, Thomas U [0000-0003-0771-7752], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], Apollo - University of Cambridge Repository, Medicum, HUS Comprehensive Cancer Center, Department of Oncology, Clinicum, Department of Obstetrics and Gynecology, Biosciences, HUS Gynecology and Obstetrics, Clinical Genetics, Medical Oncology, and Pathology

Subjects
False discovery rate, Oncology, Common breast cancer susceptibility variants, Receptor, ErbB-2, Estrogen receptor, PROGRESSION, Etiologic heterogeneity, Logistic regression, Basic medicine, Breast cancer, 0302 clinical medicine, PRIMARY THERAPY, HETEROGENEITY, RC254-282, HISTOLOGICAL GRADE, 0303 health sciences, Breast Neoplasms/epidemiology, Receptors, Estrogen/genetics, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, INTERNATIONAL EXPERT CONSENSUS, humanities, Receptor, ErbB-2/genetics, 3. Good health, Receptors, Estrogen, Receptors, Progesterone/genetics, 030220 oncology & carcinogenesis, Female, Biomarkers, Tumor/genetics, Receptors, Progesterone, Medical Genetics, Research Article, Risk, medicine.medical_specialty, SUSCEPTIBILITY LOCI, 3122 Cancers, Breast Neoplasms, Single-nucleotide polymorphism, Biology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, Progesterone receptor, Biomarkers, Tumor, medicine, Genetic predisposition, Humans, ddc:610, GENOME-WIDE ASSOCIATION, Genetic association, Medicinsk genetik, 030304 developmental biology, Cancer och onkologi, medicine.disease, Cancer and Oncology, Clinical medicine, Genome-Wide Association Study
Abstract

Background Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate p Conclusion This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.

Published
2020

16. Association Between ABCB1 Genetic Variants and Persistent Chemotherapy-Induced Alopecia in Women With Breast Cancer

Author

Nunez-Torres R, Martin M, Garcia-Saenz J, Rodrigo-Faus M, Del Monte-Millan M, Tejera-Perez H, Pita G, de la Torre-Montero J, Pinilla K, Herraez B, Peiro-Chova L, Bermejo B, Lluch A, and Gonzalez-Neira A

Abstract

Importance: Persistent chemotherapy-induced alopecia (pCIA) has been recently described in patients with breast cancer and in its most severe form occurs in up to 10% of these patients. Genetic risk factors associated with pCIA have not been adequately explored.; Objective: To identify genetic variants associated with pCIA.; Design, Setting, and Participants: In this genetic association study, 215 women with breast cancer treated with docetaxel-based chemotherapy with a follow-up of 1.5 to 10 years after the end of the treatment were recruited retrospectively through 3 hospital oncology units across Spain between 2005 and 2018. Severe pCIA was defined as lack of scalp hair recovery (Common Terminology Criteria for Adverse Events, version 3.0, grade 2) 18 months or more after the end of treatment. Patients with grade 2 pCIA were selected as cases, and those with no sign of residual alopecia 12 months after the end of docetaxel treatment were selected as controls. A genome-wide association study in a discovery phase was conducted, and logistic regression was used to identify variants associated with the risk to develop this adverse effect. The validity of the association was addressed through a replication phase.; Exposures: Docetaxel-based chemotherapy.; Main Outcomes and Measures: Genotypes of single-nucleotide variants associated with pCIA.; Results: In total, 215 women with breast cancer (median age, 51.6 years; interquartile range, 44-60 years) were recruited (173 patients for the discovery phase and 42 patients for the replication phase). In the discovery phase, ABCB1 genetic variants were associated with risk to develop pCIA. In particular, single-nucleotide variation rs1202179, a regulatory variant located in an enhancer element that interacts with the ABCB1 promoter, was associated with the occurrence of pCIA. This finding was validated in the replication cohort (combined odds ratio, 4.05; 95% CI, 2.46-6.67; P=3.946*10-8). This variant is associated with ABCB1 mRNA expression, and the risk allele was associated with decreased ABCB1 expression levels (P=1.64*10-20).; Conclusions and Relevance: This is the first study, to our knowledge, that identifies an association between a regulatory variant in the ABCB1 gene and the occurrence of pCIA in patients with breast cancer who were treated with docetaxel-based therapies. This finding suggests an important insight into the biological mechanisms underlying pCIA and opens the opportunity to explore personalized treatment of these patients.

Published
2020

17. Evidence for soil water control on carbon and water dynamics in European forests during the extremely dry year: 2003

Author

Granier, A., Reichstein, M., Bréda, N., Janssens, I.A., Falge, E., Ciais, P., Grünwald, T., Aubinet, M., Berbigier, P., Bernhofer, C., Buchmann, N., Facini, O., Grassi, G., Heinesch, B., Ilvesniemi, H., Keronen, P., Knohl, A., Köstner, B., Lagergren, F., Lindroth, A., Longdoz, B., Loustau, D., Mateus, J., Montagnani, L., Nys, C., Moors, E., Papale, D., Peiffer, M., Pilegaard, K., Pita, G., Pumpanen, J., Rambal, S., Rebmann, C., Rodrigues, A., Seufert, G., Tenhunen, J., Vesala, T., and Wang, Q.

Published
2007
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18. Combination of phenotype and polygenic risk score in breast cancer risk evaluation in the Spanish population: A case –control study

Author

Trivino, juan, primary, Ceba, A, additional, Rubio-Solsona, E, additional, Serra, D, additional, Sanchez-Guiu, I, additional, Ribas, G, additional, Rosa, R, additional, Cabo, M, additional, Bernad, L, additional, Pita, G, additional, Gonzalez-Neira, A, additional, Legarda, G, additional, Diaz, JL, additional, García-Vigara, A, additional, Martínez-Aspas, A, additional, Escrig, M, additional, Bermejo, B, additional, Eroles, P, additional, Ibáñez, J, additional, Salas, D, additional, Julve, A, additional, Cano, A, additional, Lluch, A, additional, Miñambres, R, additional, and Benitez, Javier, additional

Published
2020
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24. Combination of phenotype and polygenic risk score in breast cancer risk evaluation in the Spanish population

Author

Trivino, Juan, primary, Ceba, A, additional, Rubio-Solsona, E, additional, Serra, D, additional, Sanchez-Guiu, I, additional, Ribas, G, additional, Rosa, R, additional, Cabo, M, additional, Bernad, L, additional, Pita, G, additional, Gonzalez-Neira, A, additional, Legarda, G, additional, Diaz, JL, additional, García-Vigara, A, additional, Martínez-Aspas, A, additional, Escrig, M, additional, Bermejo, B, additional, Eroles, P, additional, Ibáñez, J, additional, Salas, D, additional, Julve, A, additional, Cano, A, additional, Lluch, A, additional, Miñambres, R, additional, and Benitez, Javier, additional

Published
2020
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25. Testicular cancer and genetic susceptibility: Analysis of Spanish cohort

Author

Autran Gomez, AM, primary, Martin-Gimeno, P., additional, Paumard-Hernández, B., additional, Gonzalez-Enguita, C.C, additional, Garranzo-Ibarrola, M., additional, Oriol, C.O., additional, Inglada-Pérez, L., additional, Tejero, H., additional, Al-Shahrour, F., additional, Pita, G., additional, Barroso, A., additional, Triviño, J.C, additional, Urioste, M., additional, and Benitez, J., additional

Published
2020
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28. BrecanRisk: Stratification of high-risk women to suffer from breast cancer

Author

Minambres, R, Trivino, J, Sanchez, M, Serra, D, Lluch, A, Julve, A, Cano, A, Garcia, A, Hoyas, S, Martinez, A, Rubio-Solsona, E, Cortina, B, Ceba, A, Bernad, L, Moya, C, Santillan, S, Montoya, J, Montes, L, Rosa, R, Salas, D, Ibanez, J, Escrig, M, Pita, G, Llaneza, A, Marron, P, and Benitez, J

Published
2019

29. Evidence that breast cancer risk at the 2q35 locus is mediated through IGFBP5 regulation (vol 5, 4999, 2014)

Author

Ghoussaini, M., Edwards, S.L., Michailidou, K., Nord, S., Lari, R.C.S., Desai, K., Kar, S., Hillman, K.M., Kaufmann, S., Glubb, D.M., Beesley, J., Dennis, J., Bolla, M.K., Wang, Q., Dicks, E., Guo, Q., Schmidt, M.K., Shah, M., Luben, R., Brown, J., Czene, K., Darabi, H., Eriksson, M., Klevebring, D., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Lambrechts, D., Thienpont, B., Neven, P., Wildiers, H., Broeks, A., Van't Veer, L.J., Rutgers, E.J.T., Couch, F.J., Olson, J.E., Hallberg, E., Vachon, C., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Peto, J., dos-Santos-Silva, I., Gibson, L., Nevanlinna, H., Muranen, T.A., Aittomaki, K., Blomqvist, C., Hall, P., Li, J.M., Liu, J.J., Humphreys, K., Kang, D., Choi, J.Y., Park, S.K., Noh, D.Y., Matsuo, K., Ito, H., Iwata, H., Yatabe, Y., Guenel, P., Truong, T., Menegaux, F., Sanchez, M., Burwinkel, B., Marme, F., Schneeweiss, A., Sohn, C., Wu, A.H., Tseng, C.C., Berg, D. van den, Stram, D.O., Benitez, J., Zamora, M., Perez, J.I.A., Menendez, P., Shu, X.O., Lu, W., Gao, Y.T., Cai, Q.Y., Cox, A., Cross, S.S., Reed, M.W.R., Andrulis, I.L., Knight, J.A., Glendon, G., Tchatchou, S., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Lindblom, A., Margolin, S., Teo, S.H., Yip, C.H., Lee, D.S.C., Wong, T.Y., Hooning, M.J., Martens, J.W.M., Collee, J.M., Deurzen, C.H.M. van, Hopper, J.L., Southey, M.C., Tsimiklis, H., Kapuscinski, M.K., Shen, C.Y., Wu, P.E., Yu, J.C., Chen, S.T., Alnaes, G.G., Borresen-Dale, A.L., Giles, G.G., Milne, R.L., McLean, C., Muir, K., Lophatananon, A., Stewart-Brown, S., Siriwanarangsan, P., Hartman, M., Miao, H., Buhari, S.A.B.S., Teo, Y.Y., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Swerdlow, A., Ashworth, A., Orr, N., Schoemaker, M.J., Garcia-Closas, M., Figueroa, J., Chanock, S.J., Lissowska, J., Simard, J., Goldberg, M.S., Labreche, F., Dumont, M., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Brauch, H., Bruning, T., Koto, Y.D., Radice, P., Peterlongo, P., Bonanni, B., Volorio, S., Dork, T., Bogdanova, N.V., Helbig, S., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Asperen, C.J. van, Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Slager, S., Toland, A.E., Ambrosone, C.B., Yannoukakos, D., Sangrajrang, S., Gaborieau, V., Brennan, P., Mckay, J., Hamann, U., Torres, D., Zheng, W., Long, J.R., Anton-Culver, H., Neuhausen, S.L., Luccarini, C., Baynes, C., Ahmed, S., Maranian, M., Healey, C.S., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Alvarez, N., Herrero, D., Tessier, D.C., Vincent, D., Bacot, F., Santiago, I. de, Carroll, J., Caldas, C., Brown, M.A., Lupien, M., Kristensen, V.N., Pharoah, P.D.P., Chenevix-Trench, G., French, J.D., Easton, D.F., Dunning, A.M., and Australian Ovarian Canc Management

Published
2018

30. Timing of the compensation of winter respiratory carbon losses provides explanatory power for net ecosystem productivity of forests

Author

Haeni, M., Zweifel, R., Eugster, W., Gessler, A., Zielis, S., Bernhofer, C., Carrara, A., Grünwald, T., Havránková, K., Heinesch, B., Herbst, M., Ibrom, Andreas, Knohl, A., Lagergren, F., Law, B. E., Marek, M., Matteucci, G., McCaughey, J. H., Minerbi, S., Montagnani, L., Moors, E., Olejnik, J., Pavelka, M., Pilegaard, Kim, Pita, G., Rodrigues, A., Sanz Sánchez, M. J., Schelhaas, M.-J., Urbaniak, M., Valentini, R., Varlagin, A., Vesala, T., Vincke, C., Wu, J., and Buchmann, N.

Subjects
SDG 13 - Climate Action
Abstract

Accurate predictions of net ecosystem productivity (NEPc) of forest ecosystems are essential for climate change decisions and requirements in the context of national forest growth and greenhouse gas inventories. However, drivers and underlying mechanisms determining NEPc (e.g. climate, nutrients) are not entirely understood yet, particularly when considering the influence of past periods.Here we explored the explanatory power of the compensation day (cDOY) —defined as the day of year when winter net carbon losses are compensated by spring assimilation— for NEPc in 26 forests in Europe, North America, and Australia, using different NEPc integration methods.We found cDOY to be a particularly powerful predictor for NEPc of temperate evergreen needle-leaf forests (R2 = 0.58) and deciduous broadleaf forests (R2 = 0.68). In general, the latest cDOY correlated with the lowest NEPc. The explanatory power of cDOY depended on the integration method for NEPc, forest type, and whether the site had a distinct winter net respiratory carbon loss or not. The integration methods starting in autumn led to better predictions of NEPc from cDOY then the classical calendar method starting at January 1. Limited explanatory power of cDOY for NEPc was found for warmer sites with no distinct winter respiratory loss period.Our findings highlight the importance of the influence of winter processes and the delayed responses of previous seasons’ climatic conditions on current year's NEPc. Such carry-over effects may contain information from climatic conditions, carbon storage levels and hydraulic traits of several years back in time.

Published
2017

31. Descubriendo el enfoque formativo de la evaluación en un Curso de Matemáticas para estudiantes de Bioingeniería

Author

Carrere, L. C., Miyara, A., Ravera, E., Escher, L., Lapyckyj, I., Pita, G., Perassi, M., and Añino, M. M.

Subjects
Educación matemática, Participatory action research, Investigación acción participativa, Evaluación formativa, Mathematics education, Formative assessment
Abstract

[EN] This paper describes how formative assessment was introduced into a bioengineering mathematics course. This change was carried out within a Participatory Action Research project and involved a shift from an assessment system based on midterm tests, final exams and laboratory assignments to a new system which emphasizes debate, feedback and student participation. In this new assessment approach the students complete written reports and present them orally in class, giving rise to a rich exchange in which peer assessment, self-assessment and teacher assessment are combined. They are also asked to submit drafts for their laboratory assignments so as to receive teacher feedback; and in a further instance of self-assessment, they are asked to complete checklists and questionnaires on their performance in the course. The first results of this new system are encouraging as student performance has considerably improved and, furthermore, a healthy change of attitude has been observed in both students and teachers. [ES] Este trabajo describe cómo la evaluación formativa fue introducida en un curso de matemáticas para futuros bioingenieros. Este cambio se desarrolló en el contexto de una indagación enmarcada en los principios metodológicos de una Investigación Acción Participativa. Como resultado de la indagación el sistema tradicional de evaluación basado en exámenes parciales, evaluaciones finales y trabajos de laboratorio fue reemplazado por un nuevo sistema que incorpora nuevas actividades enfatizando el debate, la retroalimentación y la participación de los estudiantes. En este nuevo sistema se solicita a los estudiantes completar informes escritos y presentarlos oralmente en la clase, dando lugar a un intercambio enriquecido por la combinación de la evaluación entre pares, la autoevaluación y la evaluación del docente. Por otro lado también se les propone realizar entregas de borradores de los trabajos de laboratorio para recibir retroalimentación del docente, y en otra instancia de autoevaluación, se les presentan listas de cotejo y cuestionarios para reflexionar sobre su desempeño en el curso. Los primeros resultados de este nuevo sistema son alentadores, porque no sólo muestran mejoras en el desempeño de los alumnos, sino que también permiten observar un cambio de actitud beneficioso tanto en los alumnos como en los docentes.

Published
2017

32. Winter respiratory C losses provide explanatory power for net ecosystem productivity

Author

Haeni, M., Zweifel, R., Eugster, W., Gessler, A., Zielis, S., Bernhofer, C., Carrara, A., Gruenwald, T., Havrankova, K., Heinesch, B., Herbst, M., Ibrom, A., Knohl, A., Lagergren, F., Law, B. E., Marek, M., Matteucci, G., Mccaughey, J. H., Minerbi, S., Montagnani, L., Moors, E., Olejnik, J., Marian Pavelka, Pilegaard, K., Pita, G., Rodrigues, A., Sanz Sanchez, M. J., Schelhaas, M. -J, Urbaniak, M., Valentini, R., Varlagin, A., Vesala, T., Vincke, C., Wu, J., Buchmann, N., Earth and Climate, Department of Physics, Ecosystem processes (INAR Forest Sciences), Department of Forest Sciences, and Micrometeorology and biogeochemical cycles

Subjects
LEAF CHARACTERISTICS, 4112 Forestry, CO2 exchange, CO exchange, SPACEBORNE IMAGING SPECTROSCOPY, 114 Physical sciences, growing season length, TEMPERATE DECIDUOUS FOREST, BEECH FAGUS-SYLVATICA, Carbon sink, Carbon source, Eddy covariance, Growing season length, Winter respiration, carbon sink, STEM RADIUS CHANGES, carbon source, eddy covariance, winter respiration, MIXEDWOOD BOREAL FOREST, SDG 13 - Climate Action, WATER-VAPOR EXCHANGE, CARBON UPTAKE, INTERANNUAL VARIABILITY, PHOTOSYNTHETIC CAPACITY, 1172 Environmental sciences
Abstract

Accurate predictions of net ecosystem productivity (NEPc) of forest ecosystems are essential for climate change decisions and requirements in the context of national forest growth and greenhouse gas inventories. However, drivers and underlying mechanisms determining NEPc (e.g., climate and nutrients) are not entirely understood yet, particularly when considering the influence of past periods. Here we explored the explanatory power of the compensation day (cDOY)—defined as the day of year when winter net carbon losses are compensated by spring assimilation—for NEPc in 26 forests in Europe, North America, and Australia, using different NEPc integration methods. We found cDOY to be a particularly powerful predictor for NEPc of temperate evergreen needleleaf forests (R2 = 0.58) and deciduous broadleaf forests (R2 = 0.68). In general, the latest cDOY correlated with the lowest NEPc. The explanatory power of cDOY depended on the integration method for NEPc, forest type, and whether the site had a distinct winter net respiratory carbon loss or not. The integration methods starting in autumn led to better predictions of NEPc from cDOY then the classical calendar method starting 1 January. Limited explanatory power of cDOY for NEPc was found for warmer sites with no distinct winter respiratory loss period. Our findings highlight the importance of the influence of winter processes and the delayed responses of previous seasons' climatic conditions on current year's NEPc. Such carry-over effects may contain information from climatic conditions, carbon storage levels, and hydraulic traits of several years back in time.

Published
2017

33. Evidence that the 5p12 Variant rs10941679 Confers Susceptibility to Estrogen-Receptor-Positive Breast Cancer through FGF10 and MRPS30 Regulation

Author

Ghoussaini, M., French, J.D., Michailidou, K., Nord, S., Beesley, J., Canisus, S., Hillman, K.M., Kaufmann, S., Sivakumaran, H., Marjaneh, M.M., Lee, J.S., Dennis, J., Bolla, M.K., Wang, Q., Dicks, E., Milne, R.L., Hopper, J.L., Southey, M.C., Schmidt, M.K., Broeks, A., Muir, K., Lophatananon, A., Fasching, P.A., Beckmann, M.W., Fletcher, O., Johnson, N., Sawyer, E.J., Tomlinson, I., Burwinkel, B., Marme, F., Guenel, P., Truong, T., Bojesen, S.E., Flyger, H., Benitez, J., Gonzalez-Neira, A., Alonso, R., Pita, G., Neuhausen, S.L., Anton-Culver, H., Brenner, H., Arndt, V., Meindl, A., Schmutzler, R.K., Brauch, H., Hamann, U., Tessier, D.C., Vincent, D., Nevanlinna, H., Khan, S., Matsuo, K., Ito, H., Dork, T., Bogdanova, N.V., Lindblom, A., Margolin, S., Mannermaa, A., Kosma, V.M., Wu, A.H., Berg, D. van den, Lambrechts, D., Floris, G., Chang-Claude, J., Rudolph, A., Radice, P., Barile, M., Couch, F.J., Hallberg, E., Giles, G.G., Haiman, C.A., Marchand, L. le, Goldberg, M.S., Teo, S.H., Yip, C.H., Borresen-Dale, A.L., Zheng, W., Cai, Q.Y., Winqvist, R., Pylkas, K., Andrulis, I.L., Devilee, P., Tollenaar, R.A.E.M., Garcia-Closas, M., Figueroa, J., Hall, P., Czene, K., Brand, J.S., Darabi, H., Eriksson, M., Hooning, M.J., Koppert, L.B., Li, J.M., Shu, X.O., Zheng, Y., Cox, A., Cross, S.S., Shah, M., Rhenius, V., Choi, J.Y., Kang, D., Hartman, M., Chia, K.S., Kabisch, M., Torres, D., Luccarini, C., Conroy, D.M., Jakubowska, A., Lubinski, J., Sangrajrang, S., Brennan, P., Olswold, C., Slager, S., Shen, C.Y., Hou, M.F., Swerdlow, A., Schoemaker, M.J., Simard, J., Pharoah, P.D.P., Kristensen, V., Chenevix-Trench, G., Easton, D.F., Dunning, A.M., Edwards, S.L., kConFab AOCS, NBCS Collaborators, Dennis, Joe [0000-0003-4591-1214], Wang, Jean [0000-0002-9139-0627], Dicks, Ed [0000-0002-0617-0401], Rhenius, Valerie [0000-0003-4215-3235], Pharoah, Paul [0000-0001-8494-732X], Easton, Douglas [0000-0003-2444-3247], Dunning, Alison [0000-0001-6651-7166], and Apollo - University of Cambridge Repository

Subjects
Quantitative Trait Loci, Breast Neoplasms, Polymorphism, Single Nucleotide, Enhancer Elements, Genetic, Haplotypes, Receptors, Estrogen, Case-Control Studies, Cell Line, Tumor, Chromosomes, Human, Pair 5, Humans, Genetic Predisposition to Disease, Receptor, Fibroblast Growth Factor, Type 2, Promoter Regions, Genetic, Fibroblast Growth Factor 10, Alleles
Abstract

Genome-wide association studies (GWASs) have revealed increased breast cancer risk associated with multiple genetic variants at 5p12. Here, we report the fine mapping of this locus using data from 104,660 subjects from 50 case-control studies in the Breast Cancer Association Consortium (BCAC). With data for 3,365 genotyped and imputed SNPs across a 1 Mb region (positions 44,394,495-45,364,167; NCBI build 37), we found evidence for at least three independent signals: the strongest signal, consisting of a single SNP rs10941679, was associated with risk of estrogen-receptor-positive (ER+) breast cancer (per-g allele OR ER+ = 1.15; 95% CI 1.13-1.18; p = 8.35 × 10-30). After adjustment for rs10941679, we detected signal 2, consisting of 38 SNPs more strongly associated with ER-negative (ER-) breast cancer (lead SNP rs6864776: per-a allele OR ER- = 1.10; 95% CI 1.05-1.14; p conditional = 1.44 × 10-12), and a single signal 3 SNP (rs200229088: per-t allele OR ER+ = 1.12; 95% CI 1.09-1.15; p conditional = 1.12 × 10-05). Expression quantitative trait locus analysis in normal breast tissues and breast tumors showed that the g (risk) allele of rs10941679 was associated with increased expression of FGF10 and MRPS30. Functional assays demonstrated that SNP rs10941679 maps to an enhancer element that physically interacts with the FGF10 and MRPS30 promoter regions in breast cancer cell lines. FGF10 is an oncogene that binds to FGFR2 and is overexpressed in ∼10% of human breast cancers, whereas MRPS30 plays a key role in apoptosis. These data suggest that the strongest signal of association at 5p12 is mediated through coordinated activation of FGF10 and MRPS30, two candidate genes for breast cancer pathogenesis.

Published
2016

34. Evidence that the 5p12 variant rs10941679 confers susceptibility to estrogen receptor positive breast cancer through FGF10 and MRPS30 regulation

Author

Ghoussaini, M, French, J.D., Michailidou, K., Nord, S., Beesley, J., Canisus, S., Hillman, K.M., Kaufmann, S., Sivakumaran, H., Marjaneh, M.M., Lee, J.S., Dennis, J., Bolla, M.K., Wang, Q., Dicks, E., Milne, R.L., Hopper, J.L., Southey, M.C., Schmidt, M.K., Broeks, A., Muir, K., Lophatananon, A, Fasching, P.A., Beckmann, M.W., Fletcher, O., Johnson, N., Sawyer, E.J., Tomlinson, I., Burwinkel, B., Marme, F., Guenel, P., Truong, T., Bojesen, S.E., Flyger, H., Benitez, J., González-Neira, A., Alonson, M.R., Pita, G., Neuhausen, S.L., Anton-Culver, H., Brenner, H., Arndt, V., Meindl, A., Schmutzler, R.K., Brauch, H., Hamann, U., Tessier, D.C., Vincent, D., Nevanlinna, H., Khan, S., Matsuo, K., Ito, H., Dörk, T., Bogdanova, N.V., Lindblom, A., Margolin, S., Mannermaa, A., Kosma, V-M., kConFab/AOCS Investigators, Wu, A.H., Van Den Berg, D., Lambrechts, D., Floris, G., Chang-Claude, J., Rudolph, A., Radice, P., Barile, M., Couch, F.J., Hallberg, E., Giles, G.G., Haiman, C.A., Le Marchand, L., Goldberg, M.S., Teo, S.H., Yip, C.H., Borresen-Dale, A-L., NBCS Collaborators, Zheng, W., Cai, Q., Winqvist, R., Pylkäs, K., Andrulis, I.L., Devilee, P., Tollenaar, R.A.E.M., García-Closas, M., Figueroa, J., Hall, P., Czene, K, Brand, J.S., Darabi, H, Eriksson, M., Hooning, M.J., Koppert, L.B., Jingmei, L., Shu, X-O., Zheng, Y., Cox, A, Cross, S.S., Shah, M., Rhenius, V., Choi, J-Y., Kang, D., Hartman, M., Chia, K.S., Kabisch, M., Torres, D., Luccarini, C., Conroy, D.M, Jakubowska, A., Libinski, J., Sangrajrang, S., Brennan, P., Olswold, C., Slager, S., Shen, C-Y., Hou, M-F., Swerdlow, A., Schoemaker, M.J., Simard, J., Pharoah, P.D.P, Kristensen, V., Chenevix-Trench, G., Easton, D.F., Dunning, A.M., and Edwards, S.L.

Abstract

Genome-wide association studies (GWAS) have revealed increased breast cancer risk associated with multiple genetic variants at 5p12. Here, we report the fine-mapping of this locus using data from 104,660 subjects from 50 case-control studies in the Breast Cancer Association Consortium (BCAC). Using data for 3,365 genotyped and imputed single nucleotide polymorphisms (SNPs) across a 1Mb (positions 44394495-45364167; NCBI build 37) panel we found evidence for at least three independent signals: the strongest signal, consisting of a single SNP rs10941679, was associated with risk of estrogen receptor-positive (ER+) breast cancer (per-g allele OR ER+=1.15; 95% CI 1.13-1.18; P=8.35x10-30). After adjustment for rs10941679, we detected signal 2, consisting of 38 SNPs more strongly associated with ER-negative (ER-) breast cancer (lead SNP rs6864776: per-a allele OR ER-=1.10; 95% CI 1.05-1.14; P-conditional=1.44E-12); and a single signal 3 SNP (rs200229088: per-t allele OR ER+=1.12; 95% CI 1.09-1.15; P-conditional=1.12E-05). Expression quantitative trait locus analysis in normal breast tissues and breast tumors showed the g (risk) allele of rs10941679 was associated with increased expression of FGF10 and MRPS30. Functional assays demonstrated that SNP rs10941679 maps to an enhancer element that physically interacts with the FGF10 and MRPS30 promoter regions in breast cancer cell lines. FGF10 is an oncogene that binds to FGFR2 and is over-expressed in ~10% of human breast cancers, while MRPS30 plays a key role in apoptosis. These data suggest that the strongest signal of association at 5p12 is mediated through coordinated activation of FGF10 and MRPS30, two candidate genes for breast cancer pathogenesis.

Published
2016

36. Identification and characterization of novel associations in the CASP8/ALS2CR12 region on chromosome 2 with breast cancer risk

Author

Lin, W.Y., Camp, N.J., Ghoussaini, M., Beesley, J., Michailidou, K., Hopper, J.L., Apicella, C., Southey, M.C., Stone, J., Schmidt, M.K., Broeks, A., Van't Veer, L.J., Rutgers, E.J.T., Muir, K., Lophatananon, A., Stewart-Brown, S., Siriwanarangsan, P., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Peto, J., Dos-Santos-Silva, I., Fletcher, O., Johnson, N., Bolla, M.K., Wang, Q., Dennis, J., Sawyer, E.J., Cheng, T., Tomlinson, I., Kerin, M.J., Miller, N., Marme, F., Surowy, H.M., Burwinkel, B., Guenel, P., Truong, T., Menegaux, F., Mulot, C., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Benitez, J., Zamora, M.P., Perez, J.I.A., Menendez, P., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Alvarez, N., Herrera, D., Anton-Culver, H., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Meindl, A., Lichtner, P., Schmutzler, R.K., Muller-Myhsok, B., Brauch, H., Bruning, T., Ko, Y.D., Tessier, D.C., Vincent, D., Bacot, F., Nevanlinna, H., Aittomaki, K., Blomqvist, C., Khan, S., Matsuo, K., Ito, H., Iwata, H., Horio, A., Bogdanova, N.V., Antonenkova, N.N., Dork, T., Lindblom, A., Margolin, S., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Wu, A.H., Tseng, C.C., Berg, D. van den, Stram, D.O., Neven, P., Wauters, E., Wildiers, H., Lambrechts, D., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Radice, P., Peterlongo, P., Manoukian, S., Bonanni, B., Couch, F.J., Wang, X.S., Vachon, C., Purrington, K., Giles, G.G., Milne, R.L., Mclean, C., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Simard, J., Goldberg, M.S., Labreche, F., Dumont, M., Teo, S.H., Yip, C.H., Hassan, N., Vithana, E.N., Kristensen, V., Zheng, W., Deming-Halverson, S., Shrubsole, M.J., Long, J.R., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Kauppila, S., Andrulis, I.L., Knight, J.A., Glendon, G., Tchatchou, S., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Asperen, C.J. van, Garcia-Closas, M., Figueroa, J., Lissowska, J., Brinton, L., Czene, K., Darabi, H., Eriksson, M., Brand, J.S., Hooning, M.J., Hollestelle, A., Ouweland, A.M.W. van den, Jager, A., Li, J.M., Liu, J.J., Humphreys, K., Shu, X.O., Lu, W., Gao, Y.T., Cai, H., Cross, S.S., Reed, M.W.R., Blot, W., Signorello, L.B., Cai, Q.Y., Pharoah, P.D.P., Perkins, B., Shah, M., Blows, F.M., Kang, D., Yoo, K.Y., Noh, D.Y., Hartman, M., Miao, H., Chia, K.S., Putti, T.C., Hamann, U., Luccarini, C., Baynes, C., Ahmed, S., Maranian, M., Healey, C.S., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Sangrajrang, S., Gaborieau, V., Brennan, P., Mckay, J., Slager, S., Toland, A.E., Yannoukakos, D., Shen, C.Y., Hsiung, C.N., Wu, P.E., Ding, S.L., Ashworth, A., Jones, M., Orr, N., Swerdlow, A.J., Tsimiklis, H., Makalic, E., Schmidt, D.F., Bui, Q.M., Chanock, S.J., Hunter, D.J., Hein, R., Dahmen, N., Beckmann, L., Aaltonen, K., Muranen, T.A., Heikkinen, T., Irwanto, A., Rahman, N., Turnbull, C.A., Waisfisz, Q., Meijers-Heijboer, H.E.J., Adank, M.A., Luijt, R.B. van der, Hall, P., Chenevix-Trench, G., Dunning, A., Easton, D.F., Cox, A., GENICA Network, kConFab Investigators, Australian Ovarian Canc Study Grp, Breast Ovarian Canc Susceptibility, Clinical Genetics, Obstetrics & Gynecology, Medical Oncology, Cardiothoracic Surgery, Cancer Center Amsterdam, Amsterdam Reproduction & Development (AR&D), Human Genetics, Human genetics, CCA - Oncogenesis, Ghoussaini, Maya [0000-0002-2415-2143], Wang, Jean [0000-0002-9139-0627], Dennis, Joe [0000-0003-4591-1214], 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
Genotyping Techniques, Research Support, U.S. Gov't, P.H.S, CASP8 and FADD-Like Apoptosis Regulating Protein, Genome-wide association study, P.H.S, Medical and Health Sciences, Breast and Ovarian Cancer Susceptibility (BOCS) Study, Medizinische Fakultät, Genetics(clinical), Non-U.S. Gov't, Genetics (clinical), Genetics, Genetics & Heredity, variants, Caspase 8, Research Support, Non-U.S. Gov't, Association Studies Articles, General Medicine, Biological Sciences, ddc, Chromosomes, Human, Pair 2, kConFab Investigators, Female, GENICA Network, Australian Ovarian Cancer Study Group, European Continental Ancestry Group, Non-P.H.S, Single-nucleotide polymorphism, Breast Neoplasms, Biology, Research Support, Polymorphism, Single Nucleotide, White People, N.I.H, Breast cancer, Research Support, N.I.H., Extramural, SDG 3 - Good Health and Well-being, medicine, Journal Article, Humans, Genetic Predisposition to Disease, ddc:610, gene, Genotyping, Molecular Biology, Genetic association, disease, Extramural, Proteins, Odds ratio, medicine.disease, susceptibility loci, Minor allele frequency, Case-Control Studies, genome-wide association, enhancers, U.S. Gov't, casp8, Research Support, U.S. Gov't, Non-P.H.S, Genome-Wide Association Study
Abstract

Previous studies have suggested that polymorphisms in CASP8 on chromosome 2 are associated with breast cancer risk. To clarify the role of CASP8 in breast cancer susceptibility, we carried out dense genotyping of this region in the Breast Cancer Association Consortium (BCAC). Single-nucleotide polymorphisms (SNPs) spanning a 1 Mb region around CASP8 were genotyped in 46 450 breast cancer cases and 42 600 controls of European origin from 41 studies participating in the BCAC as part of a custom genotyping array experiment (iCOGS). Missing genotypes and SNPs were imputed and, after quality exclusions, 501 typed and 1232 imputed SNPs were included in logistic regressionmodels adjusting for study and ancestry principal components. The SNPs retained in the final model were investigated further in data from nine genome-wide association studies (GWAS) comprising in total 10 052 case and 12 575 control subjects. The most significant association signal observed in European subjects was for the imputed intronic SNP rs1830298 in ALS2CR12 (telomeric to CASP8), with per allele odds ratio and 95% confidence interval [OR (95% confidence interval, CI)] for the minor allele of 1.05 (1.03-1.07), P = 1 × 10-5. Three additional independent signals from intronic SNPs were identified, in CASP8 (rs36043647), ALS2CR11 (rs59278883) and CFLAR (rs7558475). The association with rs1830298 was replicated in the imputed results from the combined GWAS (P=3 × 10-6), yielding a combined OR (95% CI) of 1.06 (1.04-1.08), P = 1 × 10-9. Analyses of gene expression associations in peripheral blood and normal breast tissue indicate that CASP8might be the target gene, suggesting amechanism involving apoptosis.

Published
2016

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

Author

Milne, R, Burwinkel, B, Michailidou, K, Arias-Perez, J, Zamora, M, Menéndez-Rodríguez, P, Hardisson, D, Mendiola, M, González-Neira, A, Pita, G, Alonso, MR, Dennis, J, Wang, Q, Bolla, M, Swerdlow, A, Ashworth, A, Orr, N, Schoemaker, M, Ko, Y, Brauch, H, Hamann, U, Andrulis, I, Knight, J, Glendon, G, and Tchatchou, S

Abstract

Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data were combined from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 [rs1053338, per allele OR = 1.07, 95% confidence interval (CI) = 1.04-1.10, P = 2.9 × 10(-6)], AKAP9-M463I at 7q21 (rs6964587, OR = 1.05, 95% CI = 1.03-1.07, P = 1.7 × 10(-6)) and NEK10-L513S at 3p24 (rs10510592, OR = 1.10, 95% CI = 1.07-1.12, P = 5.1 × 10(-17)). The first two associations reached genome-wide statistical significance in a combined analysis of available data, including independent data from nine genome-wide association studies (GWASs): for ATXN7-K264R, OR = 1.07 (95% CI = 1.05-1.10, P = 1.0 × 10(-8)); for AKAP9-M463I, OR = 1.05 (95% CI = 1.04-1.07, P = 2.0 × 10(-10)). Further analysis of other common variants in these two regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act.

Published
2016

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

Author

Southey, M. C. (Melissa C.), Goldgar, D. E. (David E.), Winqvist, R. (Robert), Pylkäs, K. (Katri), Couch, F. (Fergus), Tischkowitz, M. (Marc), Foulkes, W. D. (William D.), Dennis, J. (Joe), Michailidou, K. (Kyriaki), van Rensburg, E. J. (Elizabeth J.), Heikkinen, T. (Tuomas), Nevanlinna, H. (Heli), Hopper, J. L. (John L.), Doerk, T. (Thilo), Claes, K. B. (Kathleen B. M.), Reis-Filho, J. (Jorge), Teo, Z. L. (Zhi Ling), Radice, P. (Paolo), Catucci, I. (Irene), Peterlongo, P. (Paolo), Tsimiklis, H. (Helen), Odefrey, F. A. (Fabrice A.), Dowty, J. G. (James G.), Schmidt, M. K. (Marjanka K.), Broeks, A. (Annegien), Hogervorst, F. B. (Frans B.), Verhoef, S. (Senno), Carpenter, J. (Jane), Clarke, C. (Christine), Scott, R. J. (Rodney J.), Fasching, P. A. (Peter A.), Haeberle, L. (Lothar), Ekici, A. B. (Arif B.), Beckmann, M. W. (Matthias W.), Peto, J. (Julian), dos-Santos-Silva, I. (Isabel), Fletcher, O. (Olivia), Johnson, N. (Nichola), Bolla, M. K. (Manjeet K.), Sawyer, E. J. (Elinor J.), Tomlinson, I. (Ian), Kerin, M. J. (Michael J.), Miller, N. (Nicola), Marme, F. (Federik), Burwinkel, B. (Barbara), Yang, R. (Rongxi), Guenel, P. (Pascal), Menegaux, F. (Florence), Sanchez, M. (Marie), Bojesen, S. (Stig), Nielsen, S. F. (Sune F.), Flyger, H. (Henrik), Benitez, J. (Javier), Pilar Zamora, M. (M.), Arias Perez, J. I. (Jose Ignacio), Menendez, P. (Primitiva), Anton-Culver, H. (Hoda), Neuhausen, S. (Susan), Ziogas, A. (Argyrios), Clarke, C. A. (Christina A.), Brenner, H. (Hermann), Arndt, V. (Volker), Stegmaier, C. (Christa), Brauch, H. (Hiltrud), Bruening, T. (Thomas), Ko, Y.-D. (Yon-Dschun), Muranen, T. A. (Taru A.), Aittomaki, K. (Kristiina), Blomqvist, C. (Carl), Bogdanova, N. V. (Natalia V.), Antonenkova, N. N. (Natalia N.), Lindblom, A. (Annika), Margolin, S. (Sara), Mannermaa, A. (Arto), Kataja, V. (Vesa), Kosma, V.-M. (Veli-Matti), Hartikainen, J. M. (Jaana M.), Spurdle, A. B. (Amanda B.), Wauters, E. (Els), Smeets, D. (Dominiek), Beuselinck, B. (Benoit), Floris, G. (Giuseppe), Chang-Claude, J. (Jenny), Rudolph, A. (Anja), Seibold, P. (Petra), Flesch-Janys, D. (Dieter), Olson, J. E. (Janet E.), Vachon, C. (Celine), Pankratz, V. S. (Vernon S.), McLean, C. (Catriona), Haiman, C. A. (Christopher A.), Henderson, B. E. (Brian E.), Schumacher, F. (Fredrick), Le Marchand, L. (Loic), Kristensen, V. (Vessela), Alnaes, G. G. (Grethe Grenaker), Zheng, W. (Wei), Hunter, D. J. (David J.), Lindstrom, S. (Sara), Hankinson, S. E. (Susan E.), Kraft, P. (Peter), Andrulis, I. (Irene), Knight, J. A. (Julia A.), Glendon, G. (Gord), Mulligan, A. M. (Anna Marie), Jukkola-Vuorinen, A. (Arja), Grip, M. (Mervi), Kauppila, S. (Saila), Devilee, P. (Peter), Tollenaar, R. A. (Robert A. E. M.), Seynaeve, C. (Caroline), Hollestelle, A. (Antoinette), Garcia-Closas, M. (Montserrat), Figueroa, J. (Jonine), Chanock, S. J. (Stephen J.), Lissowska, J. (Jolanta), Czene, K. (Kamila), Darabi, H. (Hatef), Eriksson, M. (Mikael), Eccles, D. M. (Diana M.), Rafiq, S. (Sajjad), Tapper, W. J. (William J.), Gerty, S. M. (Sue M.), Hooning, M. J. (Maartje J.), Martens, J. W. (John W. M.), Collee, J. M. (J. Margriet), Tilanus-Linthorst, M. (Madeleine), Hall, P. (Per), Li, J. (Jingmei), Brand, J. S. (Judith S.), Humphreys, K. (Keith), Cox, A. (Angela), Reed, M. W. (Malcolm W. R.), Luccarini, C. (Craig), Baynes, C. (Caroline), Dunning, A. M. (Alison M.), Hamann, U. (Ute), Torres, D. (Diana), Ulmer, H. U. (Hans Ulrich), Ruediger, T. (Thomas), Jakubowska, A. (Anna), Lubinski, J. (Jan), Jaworska, K. (Katarzyna), Durda, K. (Katarzyna), Slager, S. (Susan), Toland, A. E. (Amanda E.), Ambrosone, C. B. (Christine B.), Yannoukakos, D. (Drakoulis), Swerdlow, A. (Anthony), Ashworth, A. (Alan), Orr, N. (Nick), Jones, M. (Michael), Gonzalez-Neira, A. (Anna), Pita, G. (Guillermo), Rosario Alonso, M. (M.), Alvarez, N. (Nuria), Herrero, D. (Daniel), Tessier, D. C. (Daniel C.), Vincent, D. (Daniel), Bacot, F. (Francois), Simard, J. (Jacques), Dumont, M. (Martine), Soucy, P. (Penny), Eeles, R. (Rosalind), Muir, K. (Kenneth), Wiklund, F. (Fredrik), Gronberg, H. (Henrik), Schleutker, J. (Johanna), Nordestgaard, B. G. (Borge G.), Weischer, M. (Maren), Travis, R. C. (Ruth C.), Neal, D. (David), Donovan, J. L. (Jenny L.), Hamdy, F. C. (Freddie C.), Khaw, K.-T. (Kay-Tee), Stanford, J. L. (Janet L.), Blot, W. J. (William J.), Thibodeau, S. (Stephen), Schaid, D. J. (Daniel J.), Kelley, J. L. (Joseph L.), Maier, C. (Christiane), Kibel, A. S. (Adam S.), Cybulski, C. (Cezary), Cannon-Albright, L. (Lisa), Butterbach, K. (Katja), Park, J. (Jong), Kaneva, R. (Radka), Batra, J. (Jyotsna), Teixeira, M. R. (Manuel R.), Kote-Jarai, Z. (Zsofia), Al Olama, A. A. (Ali Amin), Benlloch, S. (Sara), Renner, S. P. (Stefan P.), Hartmann, A. (Arndt), Hein, A. (Alexander), Ruebner, M. (Matthias), Lambrechts, D. (Diether), Van Nieuwenhuysen, E. (Els), Vergote, I. (Ignace), Lambretchs, S. (Sandrina), Doherty, J. A. (Jennifer A.), Rossing, M. A. (Mary Anne), Nickels, S. (Stefan), Eilber, U. (Ursula), Wang-Gohrke, S. (Shan), Odunsi, K. (Kunle), Sucheston-Campbell, L. E. (Lara E.), Friel, G. (Grace), Lurie, G. (Galina), Killeen, J. L. (Jeffrey L.), Wilkens, L. R. (Lynne R.), Goodman, M. T. (Marc T.), Runnebaum, I. (Ingo), Hillemanns, P. A. (Peter A.), Pelttari, L. M. (Liisa M.), Butzow, R. (Ralf), Modugno, F. (Francesmary), Edwards, R. P. (Robert P.), Ness, R. B. (Roberta B.), Moysich, K. B. (Kirsten B.), du Bois, A. (Andreas), Heitz, F. (Florian), Harter, P. (Philipp), Kommoss, S. (Stefan), Karlan, B. Y. (Beth Y.), Walsh, C. (Christine), Lester, J. (Jenny), Jensen, A. (Allan), Kjaer, S. K. (Susanne Kruger), Hogdall, E. (Estrid), Peissel, B. (Bernard), Bonanni, B. (Bernardo), Bernard, L. (Loris), Goode, E. L. (Ellen L.), Fridley, B. L. (Brooke L.), Vierkant, R. A. (Robert A.), Cunningham, J. M. (Julie M.), Larson, M. C. (Melissa C.), Fogarty, Z. C. (Zachary C.), Kalli, K. R. (Kimberly R.), Liang, D. (Dong), Lu, K. H. (Karen H.), Hildebrandt, M. A. (Michelle A. T.), Wu, X. (Xifeng), Levine, D. A. (Douglas A.), Dao, F. (Fanny), Bisogna, M. (Maria), Berchuck, A. (Andrew), Iversen, E. S. (Edwin S.), Marks, J. R. (Jeffrey R.), Akushevich, L. (Lucy), Cramer, D. W. (Daniel W.), Schildkraut, J. (Joellen), Terry, K. L. (Kathryn L.), Poole, E. M. (Elizabeth M.), Stampfer, M. (Meir), Tworoger, S. S. (Shelley S.), Bandera, E. V. (Elisa V.), Orlow, I. (Irene), Olson, S. H. (Sara H.), Bjorge, L. (Line), Salvesen, H. B. (Helga B.), van Altena, A. M. (Anne M.), Aben, K. K. (Katja K. H.), Kiemeney, L. A. (Lambertus A.), Massuger, L. F. (Leon F. A. G.), Pejovic, T. (Tanja), Bean, Y. (Yukie), Brooks-Wilson, A. (Angela), Kelemen, L. E. (Linda E.), Cook, L. S. (Linda S.), Le, N. D. (Nhu D.), Grski, B. (Bohdan), Gronwald, J. (Jacek), Menkiszak, J. (Janusz), Hogdall, C. K. (Claus K.), Lundvall, L. (Lene), Nedergaard, L. (Lotte), Engelholm, S. A. (Svend Aage), Dicks, E. (Ed), Tyrer, J. (Jonathan), Campbell, I. (Ian), McNeish, I. (Iain), Paul, J. (James), Siddiqui, N. (Nadeem), Glasspool, R. (Rosalind), Whittemore, A. S. (Alice S.), Rothstein, J. H. (Joseph H.), McGuire, V. (Valerie), Sieh, W. (Weiva), Cai, H. (Hui), Shu, X.-O. (Xiao-Ou), Teten, R. T. (Rachel T.), Sutphen, R. (Rebecca), McLaughlin, J. R. (John R.), Narod, S. A. (Steven A.), Phelan, C. M. (Catherine M.), Monteiro, A. N. (Alvaro N.), Fenstermacher, D. (David), Lin, H.-Y. (Hui-Yi), Permuth, J. B. (Jennifer B.), Sellers, T. A. (Thomas A.), Chen, Y. A. (Y. Ann), Tsai, Y.-Y. (Ya-Yu), Chen, Z. (Zhihua), Gentry-Maharaj, A. (Aleksandra), Gayther, S. A. (Simon A.), Ramus, S. J. (Susan J.), Menon, U. (Usha), Wu, A. H. (Anna H.), Pearce, C. L. (Celeste L.), Van den Berg, D. (David), Pike, M. C. (Malcolm C.), Dansonka-Mieszkowska, A. (Agnieszka), Plisiecka-Halasa, J. (Joanna), Moes-Sosnowska, J. (Joanna), Kupryjanczyk, J. (Jolanta), Pharoah, P. D. (Paul D. P.), Song, H. (Honglin), Winship, I. (Ingrid), Chenevix-Trench, G. (Georgia), Giles, G. G. (Graham G.), Tavtigian, S. V. (Sean V.), Easton, D. F. (Doug F.), and Milne, R. L. (Roger L.)

Subjects
skin and connective tissue diseases
Abstract

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 = 7.1 × 10⁻⁵), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p = 6.9 × 10⁻⁸) 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) (p ≤ 0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T>G 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

40. Germline genetic background contribution to metastatic dissemination in breast cancer extreme phenotype patients

Author

Santonja, A., primary, Pajares, B., additional, Jiménez-Rodríguez, B., additional, Sousa, C. Fernández-De, additional, Ribelles, N., additional, Lluch-Hernandez, A., additional, Catoira, I., additional, Perez-Ruiz, E., additional, Martin, M., additional, Del Monte-Millan, M., additional, Gonzalez-Neira, A., additional, Pita, G., additional, Pujana, M.A., additional, Ruiz, M., additional, Bonifaci, N., additional, De la Haba, J., additional, Sanchez-Rovira, P., additional, Alba, E., additional, and Romero, A., additional

Published
2016
Full Text
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41. Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants

Author

Mavaddat, N., Pharoah, P.D.P., Michailidou, K., Tyrer, J., Brook, M.N., Bolla, M.K., Wang, Q., Dennis, J., Dunning, A.M., Shah, M., Luben, R., Brown, J., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Czene, K., Darabi, H., Eriksson, M., Peto, J., dos-Santos-Silva, I., Dudbridge, F., Johnson, N., Schmidt, M.K., Broeks, A., Verhoef, S., Rutgers, E.J., Swerdlow, A., Ashworth, A., Orr, N., Schoemaker, M.J., Figueroa, J., Chanock, S.J., Brinton, L., Lissowska, J., Couch, F.J., Olson, J.E., Vachon, C., Pankratz, V.S., Lambrechts, D., Wildiers, H., Ongeval, C. van, Limbergen, E. van, Kristensen, V., Alnaes, G.G., Nord, S., Borresen-Dale, A.L., Nevanlinna, H., Muranen, T.A., Aittomaki, K., Blomqvist, C., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Burwinkel, B., Marme, F., Schneeweiss, A., Sohn, C., Trentham-Dietz, A., Newcomb, P., Titus, L., Egan, K.M., Hunter, D.J., Lindstrom, S., Tamimi, R.M., Kraft, P., Rahman, N., Turnbull, C., Renwick, A., Seal, S., Li, J.M., Liu, J.J., Humphreys, K., Benitez, J., Zamora, M.P., Perez, J.I.A., Menendez, P., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Bogdanova, N.V., Antonenkova, N.N., Dork, T., Anton-Culver, H., Neuhausen, S.L., Ziogas, A., Bernstein, L., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Asperen, C.J. van, Cox, A., Cross, S.S., Reed, M.W.R., Khusnutdinova, E., Bermisheva, M., Prokofyeva, D., Takhirova, Z., Meindl, A., Schmutzler, R.K., Sutter, C., Yang, R.X., Schurmann, P., Bremer, M., Christiansen, H., Park-Simon, T.W., Hillemanns, P., Guenel, P., Truong, T., Menegaux, F., Sanchez, M., Radice, P., Peterlongo, P., Manoukian, S., Pensotti, V., Hopper, J.L., Tsimiklis, H., Apicella, C., Southey, M.C., Brauch, H., Bruning, T., Ko, Y.D., Sigurdson, A.J., Doody, M.M., Hamann, U., Torres, D., Ulmer, H.U., Forsti, A., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Andrulis, I.L., Knight, J.A., Glendon, G., Mulligan, A.M., Chenevix-Trench, G., Balleine, R., Giles, G.G., Milne, R.L., McLean, C., Lindblom, A., Margolin, S., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Eilber, U., Wang-Gohrke, S., Hooning, M.J., Hollestelle, A., Ouweland, A.M.W. van den, Koppert, L.B., Carpenter, J., Clarke, C., Scott, R., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Brenner, H., Arndt, V., Stegmaier, C., Dieffenbach, A.K., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Offit, K., Vijai, J., Robson, M., Rau-Murthy, R., Dwek, M., Swann, R., Perkins, K.A., Goldberg, M.S., Labreche, F., Dumont, M., Eccles, D.M., Tapper, W.J., Rafiq, S., John, E.M., Whittemore, A.S., Slager, S., Yannoukakos, D., Toland, A.E., Yao, S., Zheng, W., Halverson, S.L., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Alvarez, N., Herrero, D., Tessier, D.C., Vincent, D., Bacot, F., Luccarini, C., Baynes, C., Ahmed, S., Maranian, M., Healey, C.S., Simard, J., Hall, P., Easton, D.F., Garcia-Closas, M., Clinical Genetics, Medical Oncology, Surgery, Department of Obstetrics and Gynecology, Clinicum, Medicum, Kristiina Aittomäki / Principal Investigator, Department of Medical and Clinical Genetics, Department of Oncology, HUS Gynecology and Obstetrics, Mavaddat, Nasim [0000-0003-0307-055X], Pharoah, Paul [0000-0001-8494-732X], Tyrer, Jonathan [0000-0003-3724-4757], Wang, Jean [0000-0002-9139-0627], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Luben, Robert [0000-0002-5088-6343], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
Adult, Genotype, 3122 Cancers, Breast Neoplasms, consortium, Polymorphism, Single Nucleotide, Risk Assessment, Article, prevention, SDG 3 - Good Health and Well-being, Predictive Value of Tests, Risk Factors, 3123 Gynaecology and paediatrics, Biomarkers, Tumor, Odds Ratio, Humans, Genetic Predisposition to Disease, family-history, Aged, prostate, Gene Expression Profiling, subtypes, Middle Aged, susceptibility loci, Europe, Gene Expression Regulation, Neoplastic, Receptors, Estrogen, Tumor Markers, Biological, Cancer and Oncology, genome-wide association, Female, women
Abstract

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 preventive and screening strategies. However, empirical evidence for genetic risk stratification is lacking. Methods: We investigated the value of using 77 breast cancer-associated single nucleotide polymorphisms (SNPs) for risk stratification, in a study of 33 673 breast cancer cases and 33 381 control women of European origin. We tested all possible pair-wise multiplicative interactions and constructed a 77-SNP polygenic risk score (PRS) for breast cancer overall and by estrogen receptor (ER) status. Absolute risks of breast cancer by PRS were derived from relative risk estimates and UK incidence and mortality rates. Results: There was no strong evidence for departure from a multiplicative model for any SNP pair. Women in the highest 1 of the PRS had a three-fold increased risk of developing breast cancer compared with women in the middle quintile (odds ratio [OR] = 3.36, 95% confidence interval [CI] = 2.95 to 3.83). The ORs for ER-positive and ER-negative disease were 3.73 (95% CI = 3.24 to 4.30) and 2.80 (95% CI = 2.26 to 3.46), respectively. Lifetime risk of breast cancer for women in the lowest and highest quintiles of the PRS were 5.2% and 16.6% for a woman without family history, and 8.6% and 24.4% for a woman with a first-degree family history of breast cancer. Conclusions: The PRS stratifies breast cancer risk in women both with and without a family history of breast cancer. The observed level of risk discrimination could inform targeted screening and prevention strategies. Further discrimination may be achievable through combining the PRS with lifestyle/environmental factors, although these were not considered in this report. © 2015 © The Author 2015. Published by Oxford University Press.

Published
2015

42. Fine-mapping identifies two additional breast cancer susceptibility loci at 9q31.2

Author

Orr, N., Dudbridge, F., Dryden, N., Maguire, S., Novo, D., Perrakis, E., Johnson, N., Ghoussaini, M., Hopper, J.L., Southey, M.C., Apicella, C., Stone, J., Schmidt, M.K., Broeks, A., Van't Veer, L.J., Hogervorst, F.B., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Gibson, L., Aitken, Z., Warren, H., Sawyer, E., Tomlinson, I., Kerin, M.J., Miller, N., Burwinkel, B., Marme, F., Schneeweiss, A., Sohn, C., Guenel, P., Truong, T., Cordina-Duverger, E., Sanchez, M., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Benitez, J., Zamora, M.P., Perez, J.I.A., Menendez, P., Anton-Culver, H., Neuhausen, S.L., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Hamann, U., Brauch, H., Justenhoven, C., Bruning, T., Ko, Y.D., Nevanlinna, H., Aittomaki, K., Blomqvist, C., Khan, S., Bogdanova, N., Dork, T., Lindblom, A., Margolin, S., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Chenevix-Trench, G., Beesley, J., Lambrechts, D., Moisse, M., Floris, G., Beuselinck, B., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Radice, P., Peterlongo, P., Peissel, B., Pensotti, V., Couch, F.J., Olson, J.E., Slettedahl, S., Vachon, C., Giles, G.G., Milne, R.L., McLean, C., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Simard, J., Goldberg, M.S., Labreche, F., Dumont, M., Kristensen, V., Alnaes, G.G., Nord, S., Borresen-Dale, A.L., Zheng, W., Deming-Halverson, S., Shrubsole, M., Long, J.R., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Andrulis, I.L., Knight, J.A., Glendon, G., Tchatchou, S., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C.M., Asperen, C.J. van, Garcia-Closas, M., Figueroa, J., Chanock, S.J., Lissowska, J., Czene, K., Darabi, H., Eriksson, M., Klevebring, D., Hooning, M.J., Hollestelle, A., Deurzen, C.H.M. van, Kriege, M., Hall, P., Li, J.M., Liu, J.J., Humphreys, K., Cox, A., Cross, S.S., Reed, M.W.R., Pharoah, P.D.P., Dunning, A.M., Shah, M., Perkins, B.J., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Ashworth, A., Swerdlow, A., Jones, M., Schoemaker, M.J., Meindl, A., Schmutzler, R.K., Olswold, C., Slager, S., Toland, A.E., Yannoukakos, D., Muir, K., Lophatananon, A., Stewart-Brown, S., Siriwanarangsan, P., Matsuo, K., Ito, H., Iwata, H., Ishiguro, J., Wu, A.H., Tseng, C.C., Berg, D. van den, Stram, D.O., Teo, S.H., Yip, C.H., Kang, P., Ikram, M.K., Shu, X.O., Lu, W., Gao, Y.T., Cai, H., Kang, D., Choi, J.Y., Park, S.K., Noh, D.Y., Hartman, M., Miao, H., Lim, W.Y., Lee, S.C., Sangrajrang, S., Gaborieau, V., Brennan, P., McKay, J., Wu, P.E., Hou, M.F., Yu, J.C., Shen, C.Y., Blot, W., Cai, Q.Y., Signorello, L.B., Luccarini, C., Bayes, C., Ahmed, S., Maranian, M., Healey, C.S., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Alvarez, N., Herrero, D., Tessier, D.C., Vincent, D., Bacot, F., Hunter, D.J., Lindstrom, S., Dennis, J., Michailidou, K., Bolla, M.K., Easton, D.F., Silva, I.D., Fletcher, O., Peto, J., GENICA Network, kConFab Investigators, Australian Ovarian Canc Study Grp, Obstetrics & Gynecology, Medical Oncology, Pathology, Ophthalmology, Cardiothoracic Surgery, and Clinical Genetics

Subjects
Asian Continental Ancestry Group, Adult, Hepatocyte Nuclear Factor 3-alpha, Risk, binding, European Continental Ancestry Group, Kruppel-Like Transcription Factors, estrogen-receptor-alpha, Breast Neoplasms, GATA3 Transcription Factor, Polymorphism, Single Nucleotide, White People, Kruppel-Like Factor 4, Asian People, SDG 3 - Good Health and Well-being, Medizinische Fakultät, common variants, expression, Humans, Genetic Predisposition to Disease, ddc:610, Genetic Association Studies, Aged, Association Studies Articles, Estrogen Receptor alpha, Chromosome Mapping, foxa1, Middle Aged, confer susceptibility, analyses reveal, Enhancer Elements, Genetic, risk locus, Genetic Loci, functional variants, genome-wide association, Female, Chromosomes, Human, Pair 9
Abstract

We recently identified a novel susceptibility variant, rs865686, for estrogen-receptor positive breast cancer at 9q31.2. Here, we report a fine-mapping analysis of the 9q31.2 susceptibility locus using 43 160 cases and 42 600 controls of European ancestry ascertained from 52 studies and a further 5795 cases and 6624 controls of Asian ancestry from nine studies. Single nucleotide polymorphism (SNP) rs676256 was most strongly associated with risk in Europeans (odds ratios [OR] = 0.90 [0.88-0.92]; P-value = 1.58 × 10(-25)). This SNP is one of a cluster of highly correlated variants, including rs865686, that spans ∼14.5 kb. We identified two additional independent association signals demarcated by SNPs rs10816625 (OR = 1.12 [1.08-1.17]; P-value = 7.89 × 10(-09)) and rs13294895 (OR = 1.09 [1.06-1.12]; P-value = 2.97 × 10(-11)). SNP rs10816625, but not rs13294895, was also associated with risk of breast cancer in Asian individuals (OR = 1.12 [1.06-1.18]; P-value = 2.77 × 10(-05)). Functional genomic annotation using data derived from breast cancer cell-line models indicates that these SNPs localise to putative enhancer elements that bind known drivers of hormone-dependent breast cancer, including ER-α, FOXA1 and GATA-3. In vitro analyses indicate that rs10816625 and rs13294895 have allele-specific effects on enhancer activity and suggest chromatin interactions with the KLF4 gene locus. These results demonstrate the power of dense genotyping in large studies to identify independent susceptibility variants. Analysis of associations using subjects with different ancestry, combined with bioinformatic and genomic characterisation, can provide strong evidence for the likely causative alleles and their functional basis. ispartof: Human Molecular Genetics vol:24 issue:10 pages:2966-84 ispartof: location:England status: published

Published
2015

43. Genome wide association study identifies a novel putative mammographic density locus at 1q12-q21

Author

Fernandez-Navarro P, González-Neira A, Pita G, Díaz-Uriarte R, Tais Moreno L, Ederra M, Pedraz-Pingarrón C, Sánchez-Contador C, Ja, Vázquez-Carrete, Moreo P, Carmen Vidal, Salas-Trejo D, Stone J, Mc, Southey, Jl, Hopper, Pérez-Gómez B, Benitez J, Pollan M, and Ministerio de Economía y Competitividad (España)

Subjects
Adult, Australia, Genetic Variation, Proteins, Breast Neoplasms, Middle Aged, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Cross-Sectional Studies, Chromosomes, Human, Pair 1, Spain, Endopeptidases, Humans, Twin Studies as Topic, Female, Genetic Predisposition to Disease, Mammary Glands, Human, Aged, Breast Density, Genome-Wide Association Study, Mammography
Abstract

Mammographic density (MD) is an intermediate phenotype for breast cancer. Previous studies have identified genetic variants associated with MD; however, much of the genetic contribution to MD is unexplained. We conducted a two-stage genome-wide association analysis among the participants in the Determinants of Density in Mammographies in Spain study, together with a replication analysis in women from the Australian MD Twins and Sisters Study. Our discovery set covered a total of 3,351 Caucasian women aged 45 to 68 years, recruited from Spanish breast cancer screening centres. MD was blindly assessed by a single reader using Boyd's scale. A two-stage approach was employed, including a feature selection phase exploring 575,374 SNPs in 239 pairs of women with extreme phenotypes and a verification stage for the 183 selected SNPs in the remaining sample (2,873 women). Replication was conducted in 1,786 women aged 40 to 70 years old recruited via the Australian Twin Registry, where MD were measured using Cumulus-3.0, assessing 14 SNPs with a p value

Published
2015

44. 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

45. Genetic Predisposition to In Situ and Invasive Lobular\ud Carcinoma of the Breast

Author

Sawyer, E., Roylance, R., Petridis, C., Brook, M.N., Nowinski, S., Papouli, E., Fletcher, O., Pinder, S., Hanby, A., Kohut, K., Gorman, P., Caneppele, M., Peto, J., Silva, I.D.S., Johnson, N., Swann, R., Dwek, M., Perkins, K-A., Gillett, C., Houlston, R., Ross, G., De Ieso, P., Southey, M.C., Hopper, J.L., Provenzano, E., Apicella, C., Wesseling, J., Cornelissen, S., Keeman, R., Fasching, P.A., Jud, S.M., Ekici, A.B., Beckmann, M.W., Kerin, M.J., Marme, F., Schneeweiss, A., Sohn, C., Burwinkel, B., Guenel, P., Truong, T., Laurent-Puig, P., Kerbrat, P., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Milne, R.L., Perez, J.I.A., Menendez, P., Benitez, J., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Meindl, A., Lichtner, P., Schmutzler, R.K., Lochmann, M., Brauch, H., Fischer, H-P., Ko, Y-D., Nevanlinna, H., Muranen, T.A., Aittomaki, K., Blomqvist, C., Bogdanova, N.V., Dork, T., Lindblom, A., Margolin, S., Mannermaa, A., Kataja, V., Kosma, V-M., Hartikainen, J.M., Chenevix-Trench, G., Lambrechts, D., Weltens, C., Van Limbergen, E., Hatse, S., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Radice, P., Peterlongo, P., Bonanni, B., Volorio, S., Giles, G.G., Severi, G., Baglietto, L., Mclean, C.A., Haiman, C.A., Henderson, B.E., Schumacher, F., Le Marchand, L., Simard, J., Goldberg, M.S., Labreche, F., Dumont, M., Kristensen, V., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Kauppila, S., Andrulis, I.L., Knight, J.A., Glendon, G., Mulligan, A.M., Devillee, P., Tollenaar, R.A.E.M., Seynaeve, C.M., Kriege, M., Figueroa, J., Chanock, S.J., Sherman, M.E., Hooning, M.J., Hollestelle, A., van den Ouweland, A.M.W., van Deurzen, C.H.M., Li, J., Czene, K., Humphreys, K., Cox, A., Cross, S.S., Reed, M.W.R., Shah, M., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Swerdlow, A., Ashworth, A., Orr, N., Schoemaker, M., Couch, F.J., Hallberg, E., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Tessier, D.C., Vincent, D., Bacot, F., Bolla, M.K., Wang, Q., Dennis, J., Michailidou, K., Dunning, A.M., Hall, P., Easton, D., Pharoah, P., Schmidt, M.K., Tomlinson, I., Garcia-Closas, M., Network, GENICA, and Investigators, K

Subjects
body regions, skin and connective tissue diseases
Abstract

Invasive lobular breast cancer (ILC) accounts for 10–15% of all invasive breast carcinomas. It is generally ER positive (ER+) and\ud often associated with lobular carcinoma in situ (LCIS). Genome-wide association studies have identified more than 70 common\ud polymorphisms that predispose to breast cancer, but these studies included predominantly ductal (IDC) carcinomas. To\ud identify novel common polymorphisms that predispose to ILC and LCIS, we pooled data from 6,023 cases (5,622 ILC, 401 pure\ud LCIS) and 34,271 controls from 36 studies genotyped using the iCOGS chip. Six novel SNPs most strongly associated with ILC/\ud LCIS in the pooled analysis were genotyped in a further 516 lobular cases (482 ILC, 36 LCIS) and 1,467 controls. These analyses\ud identified a lobular-specific SNP at 7q34 (rs11977670, OR (95%CI) for ILC = 1.13 (1.09–1.18), P = 6.0610210; P-het for ILC vs IDC\ud ER+ tumors = 1.861024\ud ). Of the 75 known breast cancer polymorphisms that were genotyped, 56 were associated with ILC and\ud 15 with LCIS at P,0.05. Two SNPs showed significantly stronger associations for ILC than LCIS (rs2981579/10q26/FGFR2, Phet\ud = 0.04 and rs889312/5q11/MAP3K1, P-het = 0.03); and two showed stronger associations for LCIS than ILC (rs6678914/1q32/\ud LGR6, P-het = 0.001 and rs1752911/6q14, P-het = 0.04). In addition, seven of the 75 known loci showed significant differences\ud between ER+ tumors with IDC and ILC histology, three of these showing stronger associations for ILC (rs11249433/1p11,\ud rs2981579/10q26/FGFR2 and rs10995190/10q21/ZNF365) and four associated only with IDC (5p12/rs10941679; rs2588809/\ud 14q24/RAD51L1, rs6472903/8q21 and rs1550623/2q31/CDCA7). In conclusion, we have identified one novel lobular breast\ud cancer specific predisposition polymorphism at 7q34, and shown for the first time that common breast cancer polymorphisms\ud predispose to LCIS. We have shown that many of the ER+ breast cancer predisposition loci also predispose to ILC, although\ud there is some heterogeneity between ER+ lobular and ER+ IDC tumors. These data provide evidence for overlapping, but\ud distinct etiological pathways within ER+ breast cancer between morphological subtypes.

Published
2014

46. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium

Author

Rl, Milne, Herranz J, Michailidou K, Joe Dennis, Jp, Tyrer, Mp, Zamora, Ji, Arias-Perez, González-Neira A, Pita G, Alonso MR, Wang Q, Mk, Bolla, Czene K, Eriksson M, Humphreys K, Darabi H, Li J, Anton-Culver H, Sl, Neuhausen, Ziogas A, Ca, Clarke, Jl, Hopper, Gs, Dite, Apicella C, Mc, Southey, Chenevix-Trench G, kConFab Investigators, Australian Ovarian Cancer Study Group, Swerdlow A, Ashworth A, Orr N, Schoemaker M, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Il, Andrulis, Ja, Knight, Glendon G, Am, Mulligan, Se, Bojesen, Bg, Nordestgaard, Flyger H, Nevanlinna H, Ta, Muranen, Aittomäki K, Blomqvist C, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Wang X, Je, Olson, Vachon C, Purrington K, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Am, Dunning, Shah M, Guénel P, Truong T, Sanchez M, Mulot C, Brenner H, Ak, Dieffenbach, Arndt V, Stegmaier C, Lindblom A, Margolin S, Hooning M, Hollestelle A, Collée M, Jager A, Cox A, Iw, Brock, Mw, Reed, Devilee P, Ra, Tollenaar, Seynaeve C, Ca, Haiman, Be, Henderson, Schumacher F, Le Marchand L, Simard J, Dumont M, Soucy P, Dörk T, Nv, Bogdanova, Hamann U, Försti A, Rüdiger T, Hu, Ulmer, Pa, Fasching, Häberle L, Ab, Ekici, Mw, Beckmann, Fletcher O, Johnson N, Id, Silva, Peto J, Radice P, Peterlongo P, Peissel B, Mariani P, Gg, Giles, Severi G, Baglietto L, Sawyer E, Tomlinson I, Kerin M, Miller N, Marme F, Burwinkel B, Mannermaa A, Kataja V, Vm, Kosma, Hartikainen J, Lambrechts D, Bt, Yesilyurt, Floris G, Leunen K, Gg, Alnæs, Kristensen V, Al, Børresen-Dale, García-Closas M, Sj, Chanock, Lissowska J, Jd, Figueroa, Mk, Schmidt, Broeks A, Verhoef S, Ej, Rutgers, Brauch H, Brüning T, Yd, Ko, Genica, The Network, Fj, Couch, Ae, Toland, Tnbcc, The, Yannoukakos D, Pd, Pharoah, Hall P, Benítez J, Malats N, and Df, Easton

Subjects
Australian Ovarian Cancer Study Group, Genetics & Heredity, Breast Neoplasms, Epistasis, Genetic, Biological Sciences, TNBCC, Polymorphism, Single Nucleotide, Medical and Health Sciences, Logistic Models, Case-Control Studies, kConFab Investigators, Humans, Genetic Predisposition to Disease, Female, GENICA Network, Genome-Wide Association Study
Abstract

Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.

Published
2014

47. Exome sequencing of three cases of familial exceptional longevity

Author

Cash TP, Pita G, Domínguez O, Alonso MR, Moreno LT, Borrás C, Rodríguez-Mañas L, Santiago C, Garatachea N, Lucia A, Avellana JA, Viña J, González-Neira A, and Serrano M

Subjects
apolipoprotein B, centenarians, exome sequencing, longevity, rare variants
Abstract

Exceptional longevity (EL) is a rare phenotype that can cluster in families, and co-segregation of genetic variation in these families may point to candidate genes that could contribute to extended lifespan. In this study, for the first time, we have sequenced a total of seven exomes from exceptionally long-lived siblings (probands = 103 years and at least one sibling = 97 years) that come from three separate families. We have focused on rare functional variants (RFVs) which have = 1% minor allele frequency according to databases and that are likely to alter gene product function. Based on this, we have identified one candidate longevity gene carrying RFVs in all three families, APOB. Interestingly, APOB is a component of lipoprotein particles together with APOE, and variants in the genes encoding these two proteins have been previously associated with human longevity. Analysis of nonfamilial EL cases showed a trend, without reaching statistical significance, toward enrichment of APOB RFVs. We have also identified candidate longevity genes shared between two families (5-13) or within individual families (66-156 genes). Some of these genes have been previously linked to longevity in model organisms, such as PPARGC1A, NRG1, RAD52, RAD51, NCOR1, and ADCY5 genes. This work provides an initial catalog of genes that could contribute to exceptional familial longevity.

Published
2014

48. DNA Glycosylases Involved in Base Excision Repair May Be Associated with Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

Author

Osorio, A, Milne, RL, Kuchenbaecker, K, Vaclová, T, Pita, G, Alonso, R, Peterlongo, P, Blanco, I, de la Hoya, M, Duran, M, Díez, O, Ramón y Cajal, T, Konstantopoulou, I, Martínez-Bouzas, C, Andrés Conejero, R, Soucy, P, McGuffog, L, Barrowdale, D, Lee, A, Arver, B, Rantala, J, Loman, N, Ehrencrona, H, Olopade, OI, Beattie, MS, Domchek, SM, Nathanson, K, Rebbeck, TR, Arun, BK, Karlan, BY, Walsh, C, Lester, J, John, EM, Whittemore, AS, Daly, MB, Southey, M, Hopper, J, Terry, MB, Buys, SS, Janavicius, R, Dorfling, CM, van Rensburg, EJ, Steele, L, Neuhausen, SL, Ding, YC, Hansen, TVO, Jønson, L, Ejlertsen, B, Gerdes, AM, Infante, M, Herráez, B, Moreno, LT, Weitzel, JN, Herzog, J, Weeman, K, Manoukian, S, Peissel, B, Zaffaroni, D, Scuvera, G, Bonanni, B, Mariette, F, Volorio, S, Viel, A, Varesco, L, Papi, L, Ottini, L, Tibiletti, MG, Radice, P, Yannoukakos, D, Garber, J, Ellis, S, Frost, D, Platte, R, Fineberg, E, Evans, G, Lalloo, F, Izatt, L, Eeles, R, Adlard, J, Davidson, R, Cole, T, Eccles, D, Cook, J, Hodgson, S, Brewer, C, Tischkowitz, M, Douglas, F, Porteous, M, Side, L, Walker, L, Morrison, P, Donaldson, A, Kennedy, J, Foo, C, Godwin, AK, Schmutzler, RK, Wappenschmidt, B, Rhiem, K, and Engel, C

Subjects
endocrine system diseases, skin and connective tissue diseases
Abstract

Single Nucleotide Polymorphisms (SNPs) in genes involved in the DNA Base Excision Repair (BER) pathway could be associated with cancer risk in carriers of mutations in the high-penetrance susceptibility genes BRCA1 and BRCA2, given the relation of synthetic lethality that exists between one of the components of the BER pathway, PARP1 (poly ADP ribose polymerase), and both BRCA1 and BRCA2. In the present study, we have performed a comprehensive analysis of 18 genes involved in BER using a tagging SNP approach in a large series of BRCA1 and BRCA2 mutation carriers. 144 SNPs were analyzed in a two stage study involving 23,463 carriers from the CIMBA consortium (the Consortium of Investigators of Modifiers of BRCA1 and BRCA2). Eleven SNPs showed evidence of association with breast and/or ovarian cancer at p

Published
2014

50. Design of Web-Based Archive Management Information System

Author

Syukhri Syukhri and Pita Gusmayeni

Subjects
information systems, incoming mail, outgoing mail, codeigniter framework, archives, Information technology, T58.5-58.64
Abstract

The advancement of information technology has now developed so rapidly, information has spread to the digital era, namely information that was previously processed in conventional ways, is now being managed with computer technology. Likewise with the archive management system for incoming and outgoing mail. The large number of incoming and outgoing letters every day at SMA PGRI 1 Padang makes the Administration section find it difficult to find files because they are looking for data one by one so that it takes quite a long time to search for archives, even archives often cannot be found because of the large number of archives. Realizing this, the title of Archival Management Information System Design at SMA PGRI 1 Padang West Sumatra Province using the Web-based CodeIgniter framework is expected to facilitate the Administration in the process of searching and distributing archives in a short time. The system development method used in this design is the Waterfall method. Because it is web-based, this application has the ability, the admin can manage the user, the Administrative Staff can add, edit, delete and save incoming and outgoing mail, the Head of Administration and the Principal can search for incoming and outgoing mail and can print the periodic letter report. . The results obtained from the implementation of this archiving application are to facilitate the Administration section in the computerized process of filing incoming and outgoing mail so that it becomes more efficient.

Published
2021
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