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44 results on '"Marchand, L. le"'

1. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis

Author: Yarmolinsky, J., Robinson, J.W., Mariosa, D., Karhunen, V., Huang, Jian, Dimou, N., Murphy, N., Burrows, K., Bouras, E., Smith-Byrne, K., Lewis, S.J., Galesloot, T.E., Kiemeney, B., Vermeulen, S., Martin, P., Albanes, D., Hou, L., Newcomb, P.A., White, E., Wolk, A., Wu, A.H., Marchand, L. Le, Phipps, A.I., Buchanan, D.D., Zhao, S.S., Gill, D., Chanock, S.J., Purdue, M.P., Smith, G. Davey, Brennan, P., Herzig, K.H., Järvelin, M.R., Amos, C.I., Hung, R.J., Dehghan, A., Johansson, M., Gunter, M.J., Tsilidis, K.K., Martin, R.M., Yarmolinsky, J., Robinson, J.W., Mariosa, D., Karhunen, V., Huang, Jian, Dimou, N., Murphy, N., Burrows, K., Bouras, E., Smith-Byrne, K., Lewis, S.J., Galesloot, T.E., Kiemeney, B., Vermeulen, S., Martin, P., Albanes, D., Hou, L., Newcomb, P.A., White, E., Wolk, A., Wu, A.H., Marchand, L. Le, Phipps, A.I., Buchanan, D.D., Zhao, S.S., Gill, D., Chanock, S.J., Purdue, M.P., Smith, G. Davey, Brennan, P., Herzig, K.H., Järvelin, M.R., Amos, C.I., Hung, R.J., Dehghan, A., Johansson, M., Gunter, M.J., Tsilidis, K.K., and Martin, R.M.
Abstract: Contains fulltext : 304872.pdf (Publisher’s version ) (Open Access), BACKGROUND: Tumour-promoting inflammation is a "hallmark" of cancer and conventional epidemiological studies have reported links between various inflammatory markers and cancer risk. The causal nature of these relationships and, thus, the suitability of these markers as intervention targets for cancer prevention is unclear. METHODS: We meta-analysed 6 genome-wide association studies of circulating inflammatory markers comprising 59,969 participants of European ancestry. We then used combined cis-Mendelian randomization and colocalisation analysis to evaluate the causal role of 66 circulating inflammatory markers in risk of 30 adult cancers in 338,294 cancer cases and up to 1,238,345 controls. Genetic instruments for inflammatory markers were constructed using genome-wide significant (P < 5.0 × 10(-8)) cis-acting SNPs (i.e., in or ±250 kb from the gene encoding the relevant protein) in weak linkage disequilibrium (LD, r(2) < 0.10). Effect estimates were generated using inverse-variance weighted random-effects models and standard errors were inflated to account for weak LD between variants with reference to the 1000 Genomes Phase 3 CEU panel. A false discovery rate (FDR)-corrected P-value ("q-value") <0.05 was used as a threshold to define "strong evidence" to support associations and 0.05 ≤ q-value < 0.20 to define "suggestive evidence". A colocalisation posterior probability (PPH(4)) >70% was employed to indicate support for shared causal variants across inflammatory markers and cancer outcomes. Findings were replicated in the FinnGen study and then pooled using meta-analysis. FINDINGS: We found strong evidence to support an association of genetically-proxied circulating pro-adrenomedullin concentrations with increased breast cancer risk (OR: 1.19, 95% CI: 1.10-1.29, q-value = 0.033, PPH(4) = 84.3%) and suggestive evidence to support associations of interleukin-23 receptor concentrations with increased pancreatic cancer risk (OR: 1.42, 95% CI: 1.20-1.69, q-value = 0
Published: 2024

2. Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element

Author: Baxter, J.S., Johnson, N., Tomczyk, K., Gillespie, A., Maguire, S., Brough, R., Fachal, L., Michailidou, K., Bolla, M.K., Wang, Q., Dennis, J., Ahearn, T.U., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Arndt, V., Aronson, K.J., Augustinsson, A., Becher, H., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bogdanova, N.V., Bojesen, S.E., Brenner, H., Brucker, S.Y., Cai, Q.Y., Campa, D., Canzian, F., Castelao, J.E., Chan, T.L., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Choi, J.Y., Clarke, C.L., Collaborators, N., Colonna, S., Conroy, D.M., Couch, F.J., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Dork, T., Dossus, L., Dwek, M., Eccles, D.M., Ekici, A.B., Eliassen, A.H., Engel, C., Fasching, P.A., Figueroa, J., Flyger, H., Gago-Dominguez, M., Gao, C., Garcia-Closas, M., Garcia-Saenz, J.A., Ghoussaini, M., Giles, G.G., Goldberg, M.S., Gonzalez-Neira, A., Guenel, P., Gundert, M., Haeberle, L., Hahnen, E., Haiman, C.A., Hall, P., Hamann, U., Hartman, M., Hatse, S., Hauke, J., Hollestelle, A., Hoppe, R., Hopper, J.L., Hou, M.F., Ito, H., Iwasaki, M., Jager, A., Jakubowska, A., Janni, W., John, E.M., Joseph, V., Jung, A., Kaaks, R., Kang, D., Keeman, R., Khusnutdinova, E., Kim, S.W., Kosma, V.M., Kraft, P., Kristensen, V.N., Kubelka-Sabit, K., Kurian, A.W., Kwong, A., Lacey, J.V., Lambrechts, D., Larson, N.L., Larsson, S.C., Marchand, L. le, Lejbkowicz, F., Li, J.M., Long, J.R., Lophatananon, A., LubiNski, J., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Matsuo, K., Mavroudis, D., Mayes, R., Menon, U., Milne, R.L., Taib, N.A.M., Muir, K., Muranen, T.A., Murphy, R.A., Nevanlinna, H., O'Brien, K.M., Offit, K., Olson, J.E., Olsson, H., Park, S.K., Park-Simon, T.W., Patel, A.V., Peterlongo, P., Peto, J., Plaseska-Karanfilska, D., Presneau, N., Pylkas, K., Rack, B., Rennert, G., Romero, A., Ruebner, M., Rudiger, T., Saloustros, E., Sandler, D.P., Sawyer, E.J., Schmidt, M.K., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Shah, M., Shen, C.Y., Shu, X.O., Simard, J., Southey, M.C., Stone, J., Surowy, H., Swerdlow, A.J., Tamimi, R.M., Tapper, W.J., Taylor, J.A., Teo, S.H., Teras, L.R., Terry, M.B., Toland, A.E., Tomlinson, I., Truong, T., Tseng, C.C., Untch, M., Vachon, C.M., Ouweland, A.M.W. van den, Wang, S.S., Weinberg, C.R., Wendt, C., Winham, S.J., Winqvist, R., Wolk, A., Wu, A.H., Yamaji, T., Zheng, W., Ziogas, A., Pharoah, P.D.P., Dunning, A.M., Easton, D.F., Pettitt, S.J., Lord, C.J., Haider, S., Orr, N., Fletcher, O., kConFab Investigators, ABCTB Investigators, Medical Oncology, Clinical Genetics, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, Biosciences, 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: Basic medicine, breast cancer risk, 0302 clinical medicine, Transcription (biology), Risk Factors, WIDE ASSOCIATION, TRANSCRIPTION, Promoter Regions, Genetic, Genetics (clinical), Sequence Deletion, Genetics, Genetics & Heredity, 0303 health sciences, Chromosome Mapping, 3. Good health, 030220 oncology & carcinogenesis, Chromosomes, Human, Pair 2, Pair 2, Female, Medical Genetics, Life Sciences & Biomedicine, Human, Tumor suppressor gene, SUSCEPTIBILITY LOCI, In silico, 3122 Cancers, Locus (genetics), Breast Neoplasms, Biology, Chromosomes, Article, Cell Line, RNAS, Promoter Regions, 03 medical and health sciences, functional annotation, risk locus, CRISPR-Cas Systems, Genetic Association Studies, Genetic Variation, Humans, Insulin-Like Growth Factor Binding Protein 5, Molecular Sequence Annotation, 11Q13, Genetic, SDG 3 - Good Health and Well-being, Enhancer, Transcription factor, 030304 developmental biology, Medicinsk genetik, Reporter gene, Science & Technology, IDENTIFICATION, Clinical medicine, Estrogen receptor alpha
Abstract: A combination of genetic and functional approaches has identified three independent breast cancer risk loci at 2q35. A recent fine-scale mapping analysis to refine these associations resulted in 1 (signal 1), 5 (signal 2), and 42 (signal 3) credible causal variants at these loci. We used publicly available in silico DNase I and ChIP-seq data with in vitro reporter gene and CRISPR assays to annotate signals 2 and 3. We identified putative regulatory elements that enhanced cell-type-specific transcription from the IGFBP5 promoter at both signals (30- to 40-fold increased expression by the putative regulatory element at signal 2, 2- to 3-fold by the putative regulatory element at signal 3). We further identified one of the five credible causal variants at signal 2, a 1.4 kb deletion (esv3594306), as the likely causal variant; the deletion allele of this variant was associated with an average additional increase in IGFBP5 expression of 1.3-fold (MCF-7) and 2.2-fold (T-47D). We propose a model in which the deletion allele of esv3594306 juxtaposes two transcription factor binding regions (annotated by estrogen receptor alpha ChIP-seq peaks) to generate a single extended regulatory element. This regulatory element increases cell-type-specific expression of the tumor suppressor gene IGFBP5 and, thereby, reduces risk of estrogen receptor-positive breast cancer (odds ratio = 0.77, 95% CI 0.74-0.81, p = 3.1 × 10-31). ispartof: AMERICAN JOURNAL OF HUMAN GENETICS vol:108 issue:7 pages:1190-1203 ispartof: location:United States status: published
Published: 2021

3. Causal relationships between body mass index, smoking and lung cancer: Univariable and multivariable Mendelian randomization

Author: Zhou, W., Liu, G., Hung, R.J., Haycock, P.C., Aldrich, M.C., Andrew, A.S., Arnold, S.M., Bickeböller, H., Bojesen, S.E., Brennan, P., Brunnström, H., Melander, O., Caporaso, N.E., Landi, M.T., Chen, C, Goodman, G.E., Christiani, D.C., Cox, A, Field, J.K., Johansson, M., Kiemeney, L.A.L.M., Lam, S., Lazarus, P., Marchand, L. Le, Rennert, G., Risch, A., Schabath, M.B., Shete, S.S., Tardón, A., Zienolddiny, S., Shen, H., Amos, C.I., Zhou, W., Liu, G., Hung, R.J., Haycock, P.C., Aldrich, M.C., Andrew, A.S., Arnold, S.M., Bickeböller, H., Bojesen, S.E., Brennan, P., Brunnström, H., Melander, O., Caporaso, N.E., Landi, M.T., Chen, C, Goodman, G.E., Christiani, D.C., Cox, A, Field, J.K., Johansson, M., Kiemeney, L.A.L.M., Lam, S., Lazarus, P., Marchand, L. Le, Rennert, G., Risch, A., Schabath, M.B., Shete, S.S., Tardón, A., Zienolddiny, S., Shen, H., and Amos, C.I.
Abstract: Contains fulltext : 232176.pdf (Publisher’s version ) (Closed access), At the time of cancer diagnosis, body mass index (BMI) is inversely correlated with lung cancer risk, which may reflect reverse causality and confounding due to smoking behavior. We used two-sample univariable and multivariable Mendelian randomization (MR) to estimate causal relationships of BMI and smoking behaviors on lung cancer and histological subtypes based on an aggregated genome-wide association studies (GWASs) analysis of lung cancer in 29 266 cases and 56 450 controls. We observed a positive causal effect for high BMI on occurrence of small-cell lung cancer (odds ratio (OR) = 1.60, 95% confidence interval (CI) = 1.24-2.06, P = 2.70 × 10(-4) ). After adjustment of smoking behaviors using multivariable Mendelian randomization (MVMR), a direct causal effect on small cell lung cancer (OR(MVMR) = 1.28, 95% CI = 1.06-1.55, P(MVMR) = .011), and an inverse effect on lung adenocarcinoma (OR(MVMR) = 0.86, 95% CI = 0.77-0.96, P(MVMR) = .008) were observed. A weak increased risk of lung squamous cell carcinoma was observed for higher BMI in univariable Mendelian randomization (UVMR) analysis (OR(UVMR) = 1.19, 95% CI = 1.01-1.40, P(UVMR) = .036), but this effect disappeared after adjustment of smoking (OR(MVMR) = 1.02, 95% CI = 0.90-1.16, P(MVMR) = .746). These results highlight the histology-specific impact of BMI on lung carcinogenesis and imply mediator role of smoking behaviors in the association between BMI and lung cancer.
Published: 2021

4. Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk

Author: Kramer, I., Hooning, M.J., Mavaddat, N., Hauptmann, M., Keeman, R., Steyerberg, E.W., Giardiello, D., Antoniou, A.C., Pharoah, P.D.P., Canisius, S., Abu-Ful, Z., Andrulis, I.L., Anton-Culver, H., Aronson, K.J., Augustinsson, A., Becher, H., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bogdanova, N.V., Bojesen, S.E., Bolla, M.K., Bonanni, B., Brauch, H., Bremer, M., Brucker, S.Y., Burwinkel, B., Castelao, J.E., Chan, T.L., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Choi, J.Y., Clarke, C.L., Collee, J.M., Couch, F.J., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Dork, T., dos-Santos-Silva, I., Dunning, A.M., Dwek, M., Eccles, D.M., Evans, D.G., Fasching, P.A., Flyger, H., Gago-Dominguez, M., Garcia-Closas, M., Garcia-Saenz, J.A., Giles, G.G., Goldgar, D.E., Gonzalez-Neira, A., Haiman, C.A., Hakansson, N., Hamann, U., Hartman, M., Heemskerk-Gerritsen, B.A.M., Hollestelle, A., Hopper, J.L., Hou, M.F., Howell, A., Ito, H., Jakimovska, M., Jakubowska, A., Janni, W., John, E.M., Jung, A., Kang, D., Kets, C.M., Khusnutdinova, E., Ko, Y.D., Kristensen, V.N., Kurian, A.W., Kwong, A., Lambrechts, D., Marchand, L. le, Li, J.M., Lindblom, A., Mannermaa, A., Manoochehri, M., Margolin, S., Matsuo, K., Mavroudis, D., Meindl, A., Milne, R.L., Mulligan, A.M., Muranen, T.A., Neuhausen, S.L., Nevanlinna, H., Newman, W.G., Olshan, A.F., Olson, J.E., Olsson, H., Park-Simon, T.W., Peto, J., Petridis, C., Plaseska-Karanfilska, D., Presneau, N., Pylkas, K., Radice, P., Rennert, G., Romero, A., Roylance, R., Saloustros, E., Sawyer, E.J., Schmutzler, R.K., Schwentner, L., Scott, C., See, M.H., Shah, M., Shen, C.Y., Shu, X.O., Siesling, S., Slager, S., Sohn, C., Southey, M.C., Spinelli, J.J., Stone, J., Tapper, W.J., Tengstrom, M., Teo, S.H., Terry, M.B., Tollenaar, R.A.E.M., Tomlinson, I., Troester, M.A., Vachon, C.M., Ongeval, C. van, Veen, E.M. van, Winqvist, R., Wolk, A., Zheng, W., Ziogas, A., Easton, D.F., Hall, P., Schmidt, M.K., NBCS Collaborators, ABCTB Investigators, and kConFab Investigators
Subjects: parasitic diseases
Abstract: Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 germline variants (PRS313) and contralateral breast cancer (CBC) risk. We included 56,068 women of European ancestry diagnosed with first invasive breast cancer from 1990 onward with follow-up from the Breast Cancer Association Consortium. Metachronous CBC risk (N = 1,027) according to the distribution of PRS313 was quantified using Cox regression analyses. We assessed PRS313 interaction with age at first diagnosis, family history, morphology, ER status, PR status, and HER2 status, and (neo)adjuvant therapy. In studies of Asian women, with limited follow-up, CBC risk associated with PRS313 was assessed using logistic regression for 340 women with CBC compared with 12,133 women with unilateral breast cancer. Higher PRS313 was associated with increased CBC risk: hazard ratio per standard deviation (SD) = 1.25 (95%CI = 1.18-1.33) for Europeans, and an OR per SD = 1.15 (95%CI = 1.02-1.29) for Asians. The absolute lifetime risks of CBC, accounting for death as competing risk, were 12.4% for European women at the 10th percentile and 20.5% at the 90th percentile of PRS313. We found no evidence of confounding by or interaction with individual characteristics, characteristics of the primary tumor, or treatment. The C-index for the PRS313 alone was 0.563 (95%CI = 0.547-0.586). In conclusion, PRS313 is an independent factor associated with CBC risk and can be incorporated into CBC risk prediction models to help improve stratification and optimize surveillance and treatment strategies.
Published: 2020

5. Two truncating variants in FANCC and breast cancer risk

Author: Dork, T., Peterlongo, P., Mannermaa, A., Bolla, M.K., Wang, Q., Dennis, J., Ahearn, T., Andrulis, I.L., Anton-Culver, H., Arndt, V., Aronson, K.J., Augustinsson, A., Freeman, L.E.B., Beckmann, M.W., Beeghly-Fadiel, A., Behrens, S., Bermisheva, M., Blomqvist, C., Bogdanova, N., Bojesen, S.E., Brauch, H., Brenner, H., Burwinkel, B., Canzian, F., Chan, T.L., Chang-Claude, J., Chanock, S.J., Choi, J.Y., Christiansen, H., Clarke, C.L., Couch, F.J., Czene, K., Daly, M.B., dos-Santos-Silva, I., Dwek, M., Eccles, D.M., Ekici, A.B., Eriksson, M., Evans, D.G., Fasching, P.A., Figueroa, J., Flyger, H., Fritschisl, L., Gabrielson, M., Gago-Dominguez, M., Gao, C., Gapstur, S.M., Garcia-Closas, M., Garcia-Saenz, J.A., Gaudet, M.M., Giles, G.G., Goldberg, M.S., Goldgar, D.E., Guenel, P., Haeberle, L., Haiman, C.A., Hakansson, N., Hall, P., Hamann, U., Hartman, M., Hauke, J., Hein, A., Hillemanns, P., Hogervorst, F.B.L., Hooning, M.J., Hopper, J.L., Howell, T., Huo, D.Z., Ito, H., Iwasaki, M., Jakubowska, A., Janni, W., John, E.M., Jung, A., Kaaks, R., Kang, D., Kapoor, P.M., Khusnutdinova, E., Kim, S.W., Kitahara, C.M., Koutros, S., Kraft, P., Kristensen, V.N., Kwon, A., Lambrechts, D., Marchand, L. le, Li, J.M., Lindstrom, S., Linet, M., W.Y. lo, Long, J.R., Lophatananon, A., Lubinski, J., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, E., Matsuo, K., Mavroudis, D., Meindl, A., Menon, U., Milne, R.L., Taib, N.A.M., Muir, K., Mulligan, A.M., Neuhausen, S.L., Nevanlinna, H., Neven, P., Newman, W.G., Offit, K., Olopade, O.I., Olshan, A.F., Olson, J.E., Olsson, H., Park, S.K., Park-Simon, T.W., Peto, J., Plaseska-Karanfilska, D., Pohl-Rescigno, E., Presneau, N., Rack, B., Radice, P., Rashid, M.U., Rennert, G., Rennert, H.S., Romero, A., Ruebner, M., Saloustros, E., Schmidt, M.K., Schmutzler, R.K., Schneider, M.O., Schoemaker, M.J., Scott, C., Shen, C.Y., Shu, X.O., Simard, J., Slager, S., Smichkoska, S., Southey, M.C., Spinelli, J.J., Stone, J., Surowy, H., Swerdlow, A.J., Tamimi, R.M., Tapper, W.J., Teo, S.H., Terry, M.B., Toland, A.E., Tollenaar, R.A.E.M., Torres, D., Torres-Mejia, G., Troester, M.A., Truong, T., Tsugane, S., Untch, M., Vachon, C.M., Ouweland, A.M.W. van den, Veen, E.M. van, Vijai, J., Wendt, C., Wolk, A., Yu, J.C., Zheng, W., Ziogas, A., Ziv, E., Dunning, A.M., Pharoah, P.D.P., Schindler, D., Devilee, P., Easton, D.F., Balleine, R., Baxter, R., Braye, S., Carpenter, J., Dahlstrom, J., Forbes, J., Lee, C.S., Marsh, D., Morey, A., Pathmanathan, N., Scott, R., Simpson, P., Spigelman, A., Wilcken, N., Yip, D., Zeps, N., Borresen-Dale, A.L., Alnaes, G.I.G., Sahlberg, K.K., Ottestad, L., Karesen, R., Schlichting, E., Holmen, M.M., Sauer, T., Haakensen, V., Engebraten, O., Naume, B., Fossa, A., Kiserud, C.E., Reinertsen, K.V., Helland, A., Riis, M., Geisler, J., ABCTB Investigators, NBCS Collaborators, Andrulis, Irene L [0000-0002-4226-6435], Arndt, Volker [0000-0001-9320-8684], Brauch, Hiltrud [0000-0001-7531-2736], Dwek, Miriam [0000-0001-7184-2932], Ekici, Arif B [0000-0001-6099-7066], Fasching, Peter A [0000-0003-4885-8471], Figueroa, Jonine [0000-0002-5100-623X], Hein, Alexander [0000-0003-2601-3398], Ito, Hidemi [0000-0002-8023-4581], Matsuo, Keitaro [0000-0003-1761-6314], Menon, Usha [0000-0003-3708-1732], Milne, Roger L [0000-0001-5764-7268], Muir, Kenneth [0000-0001-6429-988X], Nevanlinna, Heli [0000-0002-0916-2976], Newman, William G [0000-0002-6382-4678], Peto, Julian [0000-0002-1685-8912], Rennert, Gad [0000-0002-8512-068X], Romero, Atocha [0000-0002-1634-7397], Schmidt, Marjanka K [0000-0002-2228-429X], Scott, Christopher [0000-0003-1340-0647], Stone, Jennifer [0000-0001-5077-0124], Truong, Thérèse [0000-0002-2943-6786], Tsugane, Shoichiro [0000-0003-4105-2774], Ziogas, Argyrios [0000-0003-4529-3727], Dunning, Alison M [0000-0001-6651-7166], Pharoah, Paul DP [0000-0001-8494-732X], Devilee, Peter [0000-0002-8023-2009], Easton, Douglas F [0000-0003-2444-3247], Apollo - University of Cambridge Repository, Andrulis, Irene L. [0000-0002-4226-6435], Ekici, Arif B. [0000-0001-6099-7066], Fasching, Peter A. [0000-0003-4885-8471], Milne, Roger L. [0000-0001-5764-7268], Newman, William G. [0000-0002-6382-4678], Schmidt, Marjanka K. [0000-0002-2228-429X], Dunning, Alison M. [0000-0001-6651-7166], Pharoah, Paul D. P. [0000-0001-8494-732X], Easton, Douglas F. [0000-0003-2444-3247], HUS Comprehensive Cancer Center, Clinicum, University Management, Department of Oncology, University of Helsinki, Department of Obstetrics and Gynecology, HUS Gynecology and Obstetrics, Medical Oncology, and Clinical Genetics
Subjects: 0301 basic medicine, Oncology, PROTEIN, lcsh:Medicine, 45/47, 0302 clinical medicine, Fanconi anemia, Genotype, lcsh:Science, Sequence Deletion, Multidisciplinary, BRCA1 Protein, Fanconi Anemia Complementation Group C Protein, 1184 Genetics, developmental biology, physiology, BRCA2 Protein, 3. Good health, BIALLELIC MUTATIONS, DNA-REPAIR, Female, 692/499, Medical Genetics, medicine.medical_specialty, PALB2, 3122 Cancers, ABCTB Investigators, Breast Neoplasms, FANCONIS ANEMIA, Article, 692/4028, NBCS Collaborators, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, medicine, Humans, NONSENSE MUTATION, Genetic Predisposition to Disease, Medicinsk genetik, 45, business.industry, Genetic heterogeneity, lcsh:R, Case-control study, Genetic Variation, Odds ratio, medicine.disease, GENE, Fanconi Anemia, 030104 developmental biology, Risk factors, Case-Control Studies, lcsh:Q, 3111 Biomedicine, business, 030217 neurology & neurosurgery
Abstract: Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44–1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.
Published: 2019

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

Author: Escala-Garcia, M., Guo, Q., Dork, T., Canisius, S., Keeman, R., Dennis, J., Beesley, J., Lecarpentier, J., Bolla, M.K., Wang, Q., Abraham, J., Andrulis, I.L., Anton-Culver, H., Arndt, V., Auer, P.L., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bernstein, L., Blomqvist, C., Boeckx, B., Bojesen, S.E., Bonanni, B., Borresen-Dale, A.L., Brauch, H., Brenner, H., Brentnall, A., Brinton, L., Broberg, P., Brock, I.W., Brucker, S.Y., Burwinkel, B., Caldas, C., Caldes, T., Campa, D., Canzian, F., Carracedo, A., Carter, B.D., Castelao, J.E., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Cheng, T.Y.D., Chin, S.F., Clarke, C.L., Cordina-Duverger, E., Couch, F.J., Cox, D.G., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Dunn, J.A., Dunning, A.M., Durcan, L., Dwek, M., Earl, H.M., Ekici, A.B., Eliassen, A.H., Ellberg, C., Engel, C., Eriksson, M., Evans, D.G., Figueroa, J., Flesch-Janys, D., Flyger, H., Gabrielson, M., Gago-Dominguez, M., Galle, E., Gapstur, S.M., Garcia-Closas, M., Garcia-Saenz, J.A., Gaudet, M.M., George, A., Georgoulias, V., Giles, G.G., Glendon, G., Goldgar, D.E., Gonzalez-Neira, A., Alnaes, G.I.G., Grip, M., Guenel, P., Haeberle, L., Hahnen, E., Haiman, C.A., Hakansson, N., Hall, P., Hamann, U., Hankinson, S., Harkness, E.F., Harrington, P.A., Hart, S.N., Hartikainen, J.M., Hein, A., Hillemanns, P., Hiller, L., Holleczek, B., Hollestelle, A., Hooning, M.J., Hoover, R.N., Hopper, J.L., Howell, A., Huang, G.M.Q., Humphreys, K., Hunter, D.J., Janni, W., John, E.M., Jones, M.E., Jukkola-Vuorinen, A., Jung, A., Kaaks, R., Kabisch, M., Kaczmarek, K., Kerin, M.J., Khan, S., Khusnutdinova, E., Kiiski, J.I., Kitahara, C.M., Knight, J.A., Ko, Y.D., Koppert, L.B., Kosma, V.M., Kraft, P., Kristensen, V.N., Kruger, U., Kuhl, T., Lambrechts, D., Marchand, L. le, Lee, E., Lejbkowicz, F., Li, L., Lindblom, A., Lindstrom, S., Linet, M., Lissowska, J., W.Y. lo, Loibl, S., Lubinski, J., Lux, M.P., MacInnis, R.J., Maierthaler, M., Maishman, T., Makalic, E., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Mavroudis, D., McLean, C., Meindl, A., Middha, P., Miller, N., Milne, R.L., Moreno, F., Mulligan, A.M., Mulot, C., Nassir, R., Neuhausen, S.L., Newman, W.T., Nielsen, S.F., Nordestgaard, B.G., Norman, A., Olsson, H., Orr, N., Pankratz, V.S., Park-Simon, T.W., Perez, J.I.A., Perez-Barrios, C., Peterlongo, P., Petridis, C., Pinchev, M., Prajzendanc, K., Prentice, R., Presneau, N., Prokofieva, D., Pylkas, K., Rack, B., Radice, P., Ramachandran, D., Rennert, G., Rennert, H.S., Rhenius, V., Romero, A., Roylance, R., Saloustros, E., Sawyer, E.J., Schmidt, D.F., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Schumacher, F., Schwentner, L., Scott, R.J., Scott, C., Seynaeve, C., Shah, M., Simard, J., Smeets, A., Sohn, C., Southey, M.C., Swerdlow, A.J., Talhouk, A., Tamimi, R.M., Tapper, W.J., Teixeira, M.R., Tengstrom, M., Terry, M.B., Thone, K., Tollenaar, R.A.E.M., Tomlinson, I., Torres, D., Truong, T., Turman, C., Turnbull, C., Ulmer, H.U., Untch, M., Vachon, C., Asperen, C.J. van, Ouweland, A.M.W. van den, Veen, E.M. van, Wendt, C., Whittemore, A.S., Willett, W., Winqvist, R., Wolk, A., Yang, X.R., Zhang, Y., Easton, D.F., Fasching, P.A., Nevanlinna, H., Eccles, D.M., Pharoah, P.D.P., Schmidt, M.K., and NBCS Collaborators
Abstract: BACKGROUND: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry.METHODS: Meta-analyses included summary estimates based on Cox models of twelve datasets using similar to 10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP).RESULTS: We did not find any variant associated with breast cancer-specific mortality at P
Published: 2019

7. Associations of obesity and circulating insulin and glucose with breast cancer risk: a Mendelian randomization analysis

Author: Shu, X., Wu, L., Khankari, N.K., Shu, X.O., Wang, T.J., Michailidou, K., Bolla, M.K., Wang, Q., Dennis, J., Milne, R.L., Schmidt, M.K., Pharoah, P.D.P., Andrulis, I.L., Hunter, D.J., Simard, J., Easton, D.F., Zheng, W., Alicia, B.F.J., Anton-Culver, H., Antonenkova, N.N., Arndt, V., Aronson, K.J., Auer, P.L., Barrdahl, M., Baynes, C., Freeman, L.E.B., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Blomqvist, C., Bogdanova, N.V., Bojesen, S.E., Brauch, H., Brenner, H., Brinton, L., Broberg, P., Brucker, S.Y., Bruning, T., Burwinkel, B., Cai, Q.Y., Caldes, T., Canzian, F., Carter, B.D., Castelao, J.E., Chang-Claude, J., Chenevix-Trench, G., Cheng, T.Y.D., Clarke, C.L., Conroy, D.M., Couch, F.J., Cox, D.G., Cox, A., Cross, S.S., Cunningham, J.M., Czene, K., Daly, M.B., Doheny, K.F., Dork, T., dos-Santos-Silva, I., Dumont, M., Dunning, A.M., Dwek, M., Earp, H.S., Eccles, D.M., Eliassen, A.H., Engel, C., Eriksson, M., Evans, D.G., Fachal, L., Fasching, P.A., Figueroa, J., Fletcher, O., Flyger, H., Fritschi, L., Gabrielson, M., Gago-Dominguez, M., Gapstur, S.M., Garcia-Closas, M., Gaudet, M.M., Ghoussaini, M., Giles, G.G., Goldberg, M.S., Goldgar, D.E., Gonzalez-Neira, A., Guenel, P., Hahnen, E., Haiman, C.A., Hakansson, N., Hall, P., Hallberg, E., Hamann, U., Harrington, P., He, W., Hein, A., Hicks, B., Hillemanns, P., Hogervorst, F.B., Hollestelle, A., Hoover, R.N., Hopper, J.L., Howell, A., Huang, G., Jakubowska, A., Janni, W., John, E.M., Johnson, N., Jones, K., Jung, A., Kaaks, R., Kabisch, M., Kerin, M.J., Khusnutdinova, E., Kitahara, C.M., Kosma, V.M., Koutros, S., Kraft, P., Kristensen, V.N., Lambrechts, D., Marchand, L. le, Lindstrom, S., Linet, M.S., Lissowska, J., Loibl, S., Lubinski, J., Luccarini, C., Lux, M.P., Maishman, T., Kostovska, I.M., Mannermaa, A., Manoukian, S., Manson, J.E., Margolin, S., Mavroudis, D., Meijers-Heijboer, H., Meindl, A., Menon, U., Meyer, J., Mulligan, A.M., Neuhausen, S.L., Nevanlinna, H., Neven, P., Newman, W.T., Nielsen, S.F., Nordestgaard, B.G., Olopade, O.I., Olshan, A.F., Olson, J.E., Olsson, H., Olswol, C., Orr, N., Perou, C.M., Peto, J., Plaseska-Karanfilska, D., Prentice, R., Presneau, N., Pylkas, K., Rack, B., Radice, P., Rahman, N., Rennert, G., Rennert, H.S., Romero, A., Romm, J., Saloustros, E., Sandler, D.P., Sawyer, E.J., Schmutzler, R.K., Schneeweiss, A., Scott, R.J., Scott, C., Seal, S., Seynaeve, C., Smeets, A., Southey, M.C., Spinelli, J.J., Stone, J., Surowy, H., Swerdlow, A.J., Tamimi, R., Tapper, W., Taylor, J.A., Terry, M.B., Tessier, D.C., Thone, K., Tollenaar, R.A.E.M., Torres, D., Troester, M.A., Truong, T., Untch, M., Vachon, C., Berg, D. van den, Ouweland, A.M.W. van den, Veen, E.M. van, Vincent, D., Waisfisz, Q., Weinberg, C.R., Wendt, C., Whittemore, A.S., Wildiers, H., Winqvist, R., Wolk, A., Xia, L., Yang, X.H.R., Ziogas, A., Ziv, E., Breast Canc Assoc Consortium, NBCS Collaborators, and Clinical Genetics
Subjects: 0301 basic medicine, Oncology, medicine.medical_specialty, insulin, obesity, Epidemiology, medicine.medical_treatment, Mendelian randomization analysis, Type 2 diabetes, VARIANTS, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Waist–hip ratio, FATNESS, SDG 3 - Good Health and Well-being, Mendelian Randomization, Internal medicine, Diabetes mellitus, medicine, genetics, COHORT, 030212 general & internal medicine, glucose, Public, Environmental & Occupational Health, 2. Zero hunger, Science & Technology, business.industry, Insulin, Cancer, PATHWAYS, General Medicine, Odds ratio, INSTRUMENTS, medicine.disease, 3. Good health, BODY-MASS INDEX, INSIGHTS, 030104 developmental biology, FASTING PLASMA-GLUCOSE, business, Body mass index, Life Sciences & Biomedicine, RESISTANCE, EXPENDITURE
Abstract: Background In addition to the established association between general obesity and breast cancer risk, central obesity and circulating fasting insulin and glucose have been linked to the development of this common malignancy. Findings from previous studies, however, have been inconsistent, and the nature of the associations is unclear. Methods We conducted Mendelian randomization analyses to evaluate the association of breast cancer risk, using genetic instruments, with fasting insulin, fasting glucose, 2-h glucose, body mass index (BMI) and BMI-adjusted waist-hip-ratio (WHRadj BMI). We first confirmed the association of these instruments with type 2 diabetes risk in a large diabetes genome-wide association study consortium. We then investigated their associations with breast cancer risk using individual-level data obtained from 98 842 cases and 83 464 controls of European descent in the Breast Cancer Association Consortium. Results All sets of instruments were associated with risk of type 2 diabetes. Associations with breast cancer risk were found for genetically predicted fasting insulin [odds ratio (OR) = 1.71 per standard deviation (SD) increase, 95% confidence interval (CI) = 1.26-2.31, p = 5.09 × 10–4], 2-h glucose (OR = 1.80 per SD increase, 95% CI = 1.3 0-2.49, p = 4.02 × 10–4), BMI (OR = 0.70 per 5-unit increase, 95% CI = 0.65-0.76, p = 5.05 × 10–19) and WHRadj BMI (OR = 0.85, 95% CI = 0.79-0.91, p = 9.22 × 10–6). Stratified analyses showed that genetically predicted fasting insulin was more closely related to risk of estrogen-receptor [ER]-positive cancer, whereas the associations with instruments of 2-h glucose, BMI and WHRadj BMI were consistent regardless of age, menopausal status, estrogen receptor status and family history of breast cancer. Conclusions We confirmed the previously reported inverse association of genetically predicted BMI with breast cancer risk, and showed a positive association of genetically predicted fasting insulin and 2-h glucose and an inverse association of WHRadj BMI with breast cancer risk. Our study suggests that genetically determined obesity and glucose/insulin-related traits have an important role in the aetiology of breast cancer.
Published: 2019

8. Systematic analyses of regulatory variants in DNase I hypersensitive sites identified two novel lung cancer susceptibility loci

Author: Dai, J., Li, Z., Amos, C.I., Hung, R.J., Tardon, A., Andrew, A.S., Chen, C, Christiani, D.C., Albanes, D., Heijden, E. van der, Duell, E.J., Rennert, G., McKay, J.D., Yuan, J.M., Field, J.K., Manjer, J., Grankvist, K., Marchand, L. Le, Teare, M.D., Schabath, M.B., Aldrich, M.C., Tsao, M.S., Lazarus, P., Lam, S., Bojesen, S.E., Arnold, S, Wu, X., Haugen, A., Janout, V., Johansson, M., Brhane, Y., Fernandez-Somoano, A., Kiemeney, B., Davies, M.P., Zienolddiny, S., Hu, Z, Shen, H., Dai, J., Li, Z., Amos, C.I., Hung, R.J., Tardon, A., Andrew, A.S., Chen, C, Christiani, D.C., Albanes, D., Heijden, E. van der, Duell, E.J., Rennert, G., McKay, J.D., Yuan, J.M., Field, J.K., Manjer, J., Grankvist, K., Marchand, L. Le, Teare, M.D., Schabath, M.B., Aldrich, M.C., Tsao, M.S., Lazarus, P., Lam, S., Bojesen, S.E., Arnold, S, Wu, X., Haugen, A., Janout, V., Johansson, M., Brhane, Y., Fernandez-Somoano, A., Kiemeney, B., Davies, M.P., Zienolddiny, S., Hu, Z, and Shen, H.
Abstract: Item does not contain fulltext, DNase I hypersensitive sites (DHS) are abundant in regulatory elements, such as promoter, enhancer and transcription factor binding sites. Many studies have revealed that disease-associated variants were concentrated in DHS-related regions. However, limited studies are available on the roles of DHS-related variants in lung cancer. In this study, we performed a large-scale case-control study with 20 871 lung cancer cases and 15 971 controls to evaluate the associations between regulatory genetic variants in DHS and lung cancer susceptibility. The expression quantitative trait loci (eQTL) analysis and pathway-enrichment analysis were performed to identify the possible target genes and pathways. In addition, we performed motif-based analysis to explore the lung-cancer-related motifs using sequence kernel association test. Two novel variants, rs186332 in 20q13.3 (C>T, odds ratio [OR] = 1.17, 95% confidence interval [95% CI]: 1.10-1.24, P = 8.45 x 10-7) and rs4839323 in 1p13.2 (T>C, OR = 0.92, 95% CI: 0.89-0.95, P = 1.02 x 10-6) showed significant association with lung cancer risk. The eQTL analysis suggested that these two SNPs might regulate the expression of MRGBP and SLC16A1, respectively. What's more, the expression of both MRGBP and SLC16A1 was aberrantly elevated in lung tumor tissues. The motif-based analysis identified 10 motifs related to the risk of lung cancer (P < 1.71 x 10-4). Our findings suggested that variants in DHS might modify lung cancer susceptibility through regulating the expression of surrounding genes. This study provided us a deeper insight into the roles of DHS-related genetic variants for lung cancer.
Published: 2019

9. Mendelian Randomization and mediation analysis of leukocyte telomere length and risk of lung and head and neck cancers

Author: Kachuri, L., Saarela, O., Bojesen, S.E., Smith, G., Liu, G., Landi, M.T., Caporaso, N.E., Christiani, D.C., Johansson, M., Panico, S., Overvad, K., Trichopoulou, A., Vineis, P., Scelo, G., Zaridze, D., Wu, X., Albanes, D., Diergaarde, B., Lagiou, P., Macfarlane, G.J., Aldrich, M.C., Tardon, A., Rennert, G., Olshan, A.F., Weissler, M.C., Chen, C, Goodman, G.E., Doherty, J.A., Ness, A.R., Bickeboller, H., Wichmann, H.E., Risch, A., Field, J.K., Teare, M.D., Kiemeney, L.A.L.M., Heijden, E. van der, Carroll, J.C., Haugen, A., Zienolddiny, S., Skaug, V., Wunsch-Filho, V., Tajara, E.H., Moyses, R. Ayoub, Nunes, F. Daumas, Lam, S., Eluf-Neto, J., Lacko, M., Peters, W.H.M., Marchand, L. Le, Duell, E.J., Andrew, A.S., Franceschi, S., Schabath, M.B., Manjer, J., Arnold, S, Lazarus, P., Mukeriya, A., Swiatkowska, B., Janout, V., Holcatova, I., Stojsic, J., Mates, D., Lissowska, J., Boccia, S., Lesseur, C., Zong, X., McKay, J.D., Brennan, P., Amos, C.I., Hung, R.J., Kachuri, L., Saarela, O., Bojesen, S.E., Smith, G., Liu, G., Landi, M.T., Caporaso, N.E., Christiani, D.C., Johansson, M., Panico, S., Overvad, K., Trichopoulou, A., Vineis, P., Scelo, G., Zaridze, D., Wu, X., Albanes, D., Diergaarde, B., Lagiou, P., Macfarlane, G.J., Aldrich, M.C., Tardon, A., Rennert, G., Olshan, A.F., Weissler, M.C., Chen, C, Goodman, G.E., Doherty, J.A., Ness, A.R., Bickeboller, H., Wichmann, H.E., Risch, A., Field, J.K., Teare, M.D., Kiemeney, L.A.L.M., Heijden, E. van der, Carroll, J.C., Haugen, A., Zienolddiny, S., Skaug, V., Wunsch-Filho, V., Tajara, E.H., Moyses, R. Ayoub, Nunes, F. Daumas, Lam, S., Eluf-Neto, J., Lacko, M., Peters, W.H.M., Marchand, L. Le, Duell, E.J., Andrew, A.S., Franceschi, S., Schabath, M.B., Manjer, J., Arnold, S, Lazarus, P., Mukeriya, A., Swiatkowska, B., Janout, V., Holcatova, I., Stojsic, J., Mates, D., Lissowska, J., Boccia, S., Lesseur, C., Zong, X., McKay, J.D., Brennan, P., Amos, C.I., and Hung, R.J.
Abstract: Contains fulltext : 208363.pdf (publisher's version ) (Closed access), BACKGROUND: Evidence from observational studies of telomere length (TL) has been conflicting regarding its direction of association with cancer risk. We investigated the causal relevance of TL for lung and head and neck cancers using Mendelian Randomization (MR) and mediation analyses. METHODS: We developed a novel genetic instrument for TL in chromosome 5p15.33, using variants identified through deep-sequencing, that were genotyped in 2051 cancer-free subjects. Next, we conducted an MR analysis of lung (16 396 cases, 13 013 controls) and head and neck cancer (4415 cases, 5013 controls) using eight genetic instruments for TL. Lastly, the 5p15.33 instrument and distinct 5p15.33 lung cancer risk loci were evaluated using two-sample mediation analysis, to quantify their direct and indirect, telomere-mediated, effects. RESULTS: The multi-allelic 5p15.33 instrument explained 1.49-2.00% of TL variation in our data (p = 2.6 x 10-9). The MR analysis estimated that a 1000 base-pair increase in TL increases risk of lung cancer [odds ratio (OR) = 1.41, 95% confidence interval (CI): 1.20-1.65] and lung adenocarcinoma (OR = 1.92, 95% CI: 1.51-2.22), but not squamous lung carcinoma (OR = 1.04, 95% CI: 0.83-1.29) or head and neck cancers (OR = 0.90, 95% CI: 0.70-1.05). Mediation analysis of the 5p15.33 instrument indicated an absence of direct effects on lung cancer risk (OR = 1.00, 95% CI: 0.95-1.04). Analysis of distinct 5p15.33 susceptibility variants estimated that TL mediates up to 40% of the observed associations with lung cancer risk. CONCLUSIONS: Our findings support a causal role for long telomeres in lung cancer aetiology, particularly for adenocarcinoma, and demonstrate that telomere maintenance partially mediates the lung cancer susceptibility conferred by 5p15.33 loci.
Published: 2019

10. Association of metabolic gene polymorphisms with alcohol consumption in controls

Author: Raimondi, S., Benhamou, S., Coutelle, C., Garte, S., Hayes, R., Kiemeney, L., Lazarus, P., Marchand, L. LE, Morita, S., Povey, A., Romkes, M., Zijno, A., and Taioli, E.
Published: 2004

11. The BRCA2 c.68-7T > A variant is not pathogenic: A model for clinical calibration of spliceogenicity

Author: Colombo, M., Lopez-Perolio, I., Meeks, H.D., Caleca, L., Parsons, M.T., Li, H.Y., Vecchi, G. de, Tudini, E., Foglia, C., Mondini, P., Manoukian, S., Behar, R., Garcia, E.B.G., Meindl, A., Montagna, M., Niederacher, D., Schmidt, A.Y., Varesco, L., Wappenschmidt, B., Bolla, M.K., Dennis, J., Michailidou, K., Wang, Q., Aittomaki, K., Andrulis, I.L., Anton-Culver, H., Arndt, V., Beckmann, M.W., Beeghly-Fadel, A., Benitez, J., Boeckx, B., Bogdanova, N.V., Bojesen, S.E., Bonanni, B., Brauch, H., Brenner, H., Burwinkel, B., Chang-Claude, J., Conroy, D.M., Couch, F.J., Cox, A., Cross, S.S., Czene, K., Devilee, P., Dork, T., Eriksson, M., Fasching, P.A., Figueroa, J., Fletcher, O., Flyger, H., Gabrielson, M., Garcia-Closas, M., Giles, G.G., Gonzalez-Neira, A., Guenel, P., Haiman, C.A., Hall, P., Hamann, U., Hartman, M., Hauke, J., Hollestelle, A., Hopper, J.L., Jakubowska, A., Jung, A., Kosma, V.M., Lambrechts, D., Marchand, L. le, Lindblom, A., Lubinski, J., Mannermaa, A., Margolin, S., Miao, H., Milne, R.L., Neuhausen, S.L., Nevanlinna, H., Olson, J.E., Peterlongo, P., Peto, J., Pylkas, K., Sawyer, E.J., Schmidt, M.K., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., See, M.H., Southey, M.C., Swerdlow, A., Teo, S.H., Toland, A.E., Tomlinson, I., Truong, T., Asperen, C.J. van, Ouweland, A.M.W. van den, Kolk, L.E. van der, Winqvist, R., Yannoukakos, D., Zheng, W., Dunning, A.M., Easton, D.F., Henderson, A., Hogervorst, F.B.L., Izatt, L., Offitt, K., Side, L.E., Rensburg, E.J. van, McGuffog, L., Antoniou, A.C., Chenevix-Trench, G., Spurdle, A.B., Goldgar, D.E., Hoya, M. de la, Radice, P., kConFab AOCS Investigators, Study EMBRACE, Study HEBON, Colombo, Mara [0000-0001-5465-354X], and Apollo - University of Cambridge Repository
Subjects: BRCA2 Protein, Base Sequence, Models, Genetic, digital PCR, multifactorial likelihood analysis, Mitomycin, RNA Splicing, spliceogenic variants, kConFab/AOCS Investigators, Genetic Variation, Exons, BRCA2, Cell Line, Calibration, Humans, Female, Genetic Predisposition to Disease, RNA, Messenger, quantitative real-time PCR
Abstract: Although the spliceogenic nature of the BRCA2 c.68-7T > A variant has been demonstrated, its association with cancer risk remains controversial. In this study, we accurately quantified by real-time PCR and digital PCR (dPCR), the BRCA2 isoforms retaining or missing exon 3. In addition, the combined odds ratio for causality of the variant was estimated using genetic and clinical data, and its associated cancer risk was estimated by case-control analysis in 83,636 individuals. Co-occurrence in trans with pathogenic BRCA2 variants was assessed in 5,382 families. Exon 3 exclusion rate was 4.5-fold higher in variant carriers (13%) than controls (3%), indicating an exclusion rate for the c.68-7T > A allele of approximately 20%. The posterior probability of pathogenicity was 7.44 × 10-115 . There was neither evidence for increased risk of breast cancer (OR 1.03; 95% CI 0.86-1.24) nor for a deleterious effect of the variant when co-occurring with pathogenic variants. Our data provide for the first time robust evidence of the nonpathogenicity of the BRCA2 c.68-7T > A. Genetic and quantitative transcript analyses together inform the threshold for the ratio between functional and altered BRCA2 isoforms compatible with normal cell function. These findings might be exploited to assess the relevance for cancer risk of other BRCA2 spliceogenic variants.
Published: 2018

12. 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

13. Genetic modifiers of radon-induced lung cancer risk: a genome-wide interaction study in former uranium miners

Author: Rosenberger, A., Hung, R.J., Christiani, D.C., Caporaso, N.E., Liu, G., Bojesen, S.E., Marchand, L. Le, Haiman, C.A., Albanes, D., Aldrich, M.C., Tardon, A., Fernandez-Tardon, G., Rennert, G., Field, J.K., Kiemeney, B., Lazarus, P., Haugen, A., Zienolddiny, S., Lam, S., Schabath, M.B., Andrew, A.S., Brunnsstom, H., Goodman, G.E., Doherty, J.A., Chen, C, Teare, M.D., Wichmann, H.E., Manz, J., Risch, A., Muley, T.R., Johansson, M., Brennan, P., Landi, M.T., Amos, C.I., Pesch, B., Johnen, G., Bruning, T., Bickeboller, H., Gomolka, M., Rosenberger, A., Hung, R.J., Christiani, D.C., Caporaso, N.E., Liu, G., Bojesen, S.E., Marchand, L. Le, Haiman, C.A., Albanes, D., Aldrich, M.C., Tardon, A., Fernandez-Tardon, G., Rennert, G., Field, J.K., Kiemeney, B., Lazarus, P., Haugen, A., Zienolddiny, S., Lam, S., Schabath, M.B., Andrew, A.S., Brunnsstom, H., Goodman, G.E., Doherty, J.A., Chen, C, Teare, M.D., Wichmann, H.E., Manz, J., Risch, A., Muley, T.R., Johansson, M., Brennan, P., Landi, M.T., Amos, C.I., Pesch, B., Johnen, G., Bruning, T., Bickeboller, H., and Gomolka, M.
Abstract: Item does not contain fulltext, PURPOSE: Radon is a risk factor for lung cancer and uranium miners are more exposed than the general population. A genome-wide interaction analysis was carried out to identify genomic loci, genes or gene sets that modify the susceptibility to lung cancer given occupational exposure to the radioactive gas radon. METHODS: Samples from 28 studies provided by the International Lung Cancer Consortium were pooled with samples of former uranium miners collected by the German Federal Office of Radiation Protection. In total, 15,077 cases and 13,522 controls, all of European ancestries, comprising 463 uranium miners were compared. The DNA of all participants was genotyped with the OncoArray. We fitted single-marker and in multi-marker models and performed an exploratory gene-set analysis to detect cumulative enrichment of significance in sets of genes. RESULTS: We discovered a genome-wide significant interaction of the marker rs12440014 within the gene CHRNB4 (OR = 0.26, 95% CI 0.11-0.60, p = 0.0386 corrected for multiple testing). At least suggestive significant interaction of linkage disequilibrium blocks was observed at the chromosomal regions 18q21.23 (p = 1.2 x 10(-6)), 5q23.2 (p = 2.5 x 10(-6)), 1q21.3 (p = 3.2 x 10(-6)), 10p13 (p = 1.3 x 10(-5)) and 12p12.1 (p = 7.1 x 10(-5)). Genes belonging to the Gene Ontology term "DNA dealkylation involved in DNA repair" (GO:0006307; p = 0.0139) or the gene family HGNC:476 "microRNAs" (p = 0.0159) were enriched with LD-blockwise significance. CONCLUSION: The well-established association of the genomic region 15q25 to lung cancer might be influenced by exposure to radon among uranium miners. Furthermore, lung cancer susceptibility is related to the functional capability of DNA damage signaling via ubiquitination processes and repair of radiation-induced double-strand breaks by the single-strand annealing mechanism.
Published: 2018

14. Genetic variation in mitotic regulatory pathway genes is associated with breast tumor grade

Author: Purrington, K.S., Slettedahl, S., Bolla, M.K., Michailidou, K., Czene, K., Nevanlinna, H., Bojesen, S.E., Andrulis, I.L., Cox, A., Hall, P., Carpenter, J., Yannoukakos, D., Haiman, C.A., Fasching, P.A., Mannermaa, A., Winqvist, R., Brenner, H., Lindblom, A., Chenevix-Trench, G., Benitez, J., Swerdlow, A., Kristensen, V., Guenel, P., Meindl, A., Darabi, H., Eriksson, M., Fagerholm, R., Aittomaki, K., Blomqvist, C., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Wang, X.S., Olswold, C., Olson, J.E., Mulligan, A.M., Knight, J.A., Tchatchou, S., Reed, M.W.R., Cross, S.S., Liu, J.J., Li, J.M., Humphreys, K., Clarke, C., Scott, R., Fostira, F., Fountzilas, G., Konstantopoulou, I., Henderson, B.E., Schumacher, F., Marchand, L. le, Ekici, A.B., Hartmann, A., Beckmann, M.W., Hartikainen, J.M., Kosma, V.M., Kataja, V., Jukkola-Vuorinen, A., Pylkas, K., Kauppila, S., Dieffenbach, A.K., Stegmaier, C., Arndt, V., Margolin, S., Balleine, R., Perez, J.I.A., Zamora, M.P., Menendez, P., Ashworth, A., Jones, M., Orr, N., Arveux, P., Kerbrat, P., Truong, T., Bugert, P., Toland, A.E., Ambrosone, C.B., Labreche, F., Goldberg, M.S., Dumont, M., Ziogas, A., Lee, E., Dite, G.S., Apicella, C., Southey, M.C., Long, J.R., Shrubsole, M., Deming-Halverson, S., Ficarazzi, F., Barile, M., Peterlongo, P., Durda, K., Jaworska-Bieniek, K., Tollenaar, R.A.E.M., Seynaeve, C., Bruning, T., Ko, Y.D., Deurzen, C.H.M. van, Martens, J.W.M., Kriege, M., Figueroa, J.D., Chanock, S.J., Lissowska, J., Tomlinson, I., Kerin, M.J., Miller, N., Schneeweiss, A., Tapper, W.J., Gerty, S.M., Durcan, L., Mclean, C., Milne, R.L., Baglietto, L., Silva, I.D., Fletcher, O., Johnson, N., Van'T Veer, L.J., Cornelissen, S., Forsti, A., Torres, D., Rudiger, T., Rudolph, A., Flesch-Janys, D., Nickels, S., Weltens, C., Floris, G., Moisse, M., Dennis, J., Wang, Q., Dunning, A.M., Shah, M., Brown, J., Simard, J., Anton-Culver, H., Neuhausen, S.L., Hopper, J.L., Bogdanova, N., Dork, T., Zheng, W., Radice, P., Jakubowska, A., Lubinski, J., Devillee, P., Brauch, H., Hooning, M., Garcia-Closas, M., Sawyer, E., Burwinkel, B., Marmee, F., Eccles, D.M., Giles, G.G., Peto, J., Schmidt, M., Broeks, A., Hamann, U., Chang-Claude, J., Lambrechts, D., Pharoah, P.D.P., Easton, D., Pankratz, V.S., Slager, S., Vachon, C.M., Couch, F.J., ABCTB Investigators, Australian Ovarian Canc Study Grp, kConFab Investigators, GENICA Network, Medical Oncology, Pathology, and Clinical Genetics
Subjects: Oncology, Candidate gene, Fibroblast Growth Factor, amplification, cancer susceptibility loci, Bioinformatics, medicine.disease_cause, Medical and Health Sciences, prostate-cancer, Prostate cancer, Risk Factors, Medizinische Fakultät, Genetics (clinical), Genetics & Heredity, tacc2, Association Studies Articles, Single Nucleotide, General Medicine, Biological Sciences, ddc, risk loci, cell-division, kConFab Investigators, Female, GENICA Network, Type 2, Receptor, Australian Ovarian Cancer Study Group, Breast Neoplasms, Carrier Proteins, Case-Control Studies, Haplotypes, Humans, Neoplasm Staging, Polymorphism, Single Nucleotide, Receptor, Fibroblast Growth Factor, Type 2, Tumor Suppressor Proteins, Genetic Variation, Molecular Biology, Genetics, medicine.medical_specialty, Mitotic index, ABCTB Investigators, Single-nucleotide polymorphism, Biology, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, medicine, ddc:610, Polymorphism, Lung cancer, Odds ratio, medicine.disease, genome-wide association, lung-cancer, progression, Carcinogenesis
Abstract: Mitotic index is an important component of histologic grade and has an etiologic role in breast tumorigenesis. Several small candidate gene studies have reported associations between variation in mitotic genes and breast cancer risk. We measured associations between 2156 single nucleotide polymorphisms (SNPs) from 194 mitotic genes and breast cancer risk, overall and by histologic grade, in the Breast Cancer Association Consortium (BCAC) iCOGS study (n = 39 067 cases; n = 42 106 controls). SNPs in TACC2 [rs17550038: odds ratio (OR) = 1.24, 95% confidence interval (CI) 1.16-1.33, P = 4.2 × 10(-10)) and EIF3H (rs799890: OR = 1.07, 95% CI 1.04-1.11, P = 8.7 × 10(-6)) were significantly associated with risk of low-grade breast cancer. The TACC2 signal was retained (rs17550038: OR = 1.15, 95% CI 1.07-1.23, P = 7.9 × 10(-5)) after adjustment for breast cancer risk SNPs in the nearby FGFR2 gene, suggesting that TACC2 is a novel, independent genome-wide significant genetic risk locus for low-grade breast cancer. While no SNPs were individually associated with high-grade disease, a pathway-level gene set analysis showed that variation across the 194 mitotic genes was associated with high-grade breast cancer risk (P = 2.1 × 10(-3)). These observations will provide insight into the contribution of mitotic defects to histological grade and the etiology of breast cancer.
Published: 2014

15. Obesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study

Author: Carreras-Torres, R., Johansson, M., Haycock, P.C., Wade, K.H., Relton, C.L., Martin, R.M., Smith, G., Albanes, D., Aldrich, M.C., Andrew, A., Arnold, S.M., Bickeboller, H., Bojesen, S.E., Brunnstrom, H., Manjer, J., Bruske, I., Caporaso, N.E., Chen, C., Christiani, D.C., Christian, W.J., Doherty, J.A., Duell, E.J., Field, J.K., Davies, M.P., Marcus, M.W., Goodman, G.E., Grankvist, K., Haugen, A., Hong, Y.C., Kiemeney, L.A.L.M., Heijden, E. van der, Kraft, P., Johansson, M.B., Lam, S., Landi, M.T., Lazarus, P., Marchand, L. Le, Liu, G., Melander, O., Park, S.L., Rennert, G., Risch, A., Haura, E.B., Scelo, G., Zaridze, D., Mukeriya, A., Savic, M., Lissowska, J., Swiatkowska, B., Janout, V., Holcatova, I., Mates, D., Schabath, M.B., Shen, H., Tardon, A., Teare, M.D., Woll, P., Tsao, M.S., Wu, X., Yuan, J.M., Hung, R.J., Amos, C.I., McKay, J., Brennan, P., Carreras-Torres, R., Johansson, M., Haycock, P.C., Wade, K.H., Relton, C.L., Martin, R.M., Smith, G., Albanes, D., Aldrich, M.C., Andrew, A., Arnold, S.M., Bickeboller, H., Bojesen, S.E., Brunnstrom, H., Manjer, J., Bruske, I., Caporaso, N.E., Chen, C., Christiani, D.C., Christian, W.J., Doherty, J.A., Duell, E.J., Field, J.K., Davies, M.P., Marcus, M.W., Goodman, G.E., Grankvist, K., Haugen, A., Hong, Y.C., Kiemeney, L.A.L.M., Heijden, E. van der, Kraft, P., Johansson, M.B., Lam, S., Landi, M.T., Lazarus, P., Marchand, L. Le, Liu, G., Melander, O., Park, S.L., Rennert, G., Risch, A., Haura, E.B., Scelo, G., Zaridze, D., Mukeriya, A., Savic, M., Lissowska, J., Swiatkowska, B., Janout, V., Holcatova, I., Mates, D., Schabath, M.B., Shen, H., Tardon, A., Teare, M.D., Woll, P., Tsao, M.S., Wu, X., Yuan, J.M., Hung, R.J., Amos, C.I., McKay, J., and Brennan, P.
Abstract: Contains fulltext : 174154.pdf (publisher's version ) (Open Access), BACKGROUND: Assessing the relationship between lung cancer and metabolic conditions is challenging because of the confounding effect of tobacco. Mendelian randomization (MR), or the use of genetic instrumental variables to assess causality, may help to identify the metabolic drivers of lung cancer. METHODS AND FINDINGS: We identified genetic instruments for potential metabolic risk factors and evaluated these in relation to risk using 29,266 lung cancer cases (including 11,273 adenocarcinomas, 7,426 squamous cell and 2,664 small cell cases) and 56,450 controls. The MR risk analysis suggested a causal effect of body mass index (BMI) on lung cancer risk for two of the three major histological subtypes, with evidence of a risk increase for squamous cell carcinoma (odds ratio (OR) [95% confidence interval (CI)] = 1.20 [1.01-1.43] and for small cell lung cancer (OR [95%CI] = 1.52 [1.15-2.00]) for each standard deviation (SD) increase in BMI [4.6 kg/m2]), but not for adenocarcinoma (OR [95%CI] = 0.93 [0.79-1.08]) (Pheterogeneity = 4.3x10-3). Additional analysis using a genetic instrument for BMI showed that each SD increase in BMI increased cigarette consumption by 1.27 cigarettes per day (P = 2.1x10-3), providing novel evidence that a genetic susceptibility to obesity influences smoking patterns. There was also evidence that low-density lipoprotein cholesterol was inversely associated with lung cancer overall risk (OR [95%CI] = 0.90 [0.84-0.97] per SD of 38 mg/dl), while fasting insulin was positively associated (OR [95%CI] = 1.63 [1.25-2.13] per SD of 44.4 pmol/l). Sensitivity analyses including a weighted-median approach and MR-Egger test did not detect other pleiotropic effects biasing the main results. CONCLUSIONS: Our results are consistent with a causal role of fasting insulin and low-density lipoprotein cholesterol in lung cancer etiology, as well as for BMI in squamous cell and small cell carcinoma. The latter relation may be mediated by a previously unrecognized
Published: 2017

16. Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes

Author: McKay, J.D., Hung, R.J., Han, Y., Zong, X., Carreras-Torres, R., Christiani, D.C., Caporaso, N., Johansson, M., Li, Y., Byun, J.Y., Dunning, A., Pooley, K.A., Qian, D.C., Liu, G., Bojesen, S.E., Wu, X., Marchand, L. le, Albanes, D., Bickeböller, H., Aldrich, M.C., Bush, W.S., Tardon, A., Rennert, G., Teare, M.D., Field, J.K., Kiemeney, L.A., Lazarus, P., Haugen, A., Schabath, M.B., Andrew, A.S., Shen, H., Hong, Y.C., Yuan, J.M., Bertazzi, P.A., Pesatori, A.C., Ye, Y., Diao, N., Su, L., Zhang, R., Brhane, Y., Leighl, N., Johansen, J.S., Mellemgaard, A., Saliba, W., Haiman, C.A., Wilkens, L.R., Fernandez-Somoano, A., Fernandez-Tardon, G., Heijden, H.F.M. van der, Kim, J.H., Hu, Z, Davies, M., Brunnström, H., Manjer, J., Melander, O., Muller, D., Overvad, K., Trichopoulou, A., Tumino, R., Doherty, J.A., Barnett, M.P., Chen, C., Goodman, G.E., Cox, A, Taylor, F., Woll, P.J., Brüske, I., Wichmann, H.E., Manz, J., Muley, T.R., Risch, A., Rosenberger, A., Grankvist, K., Shepherd, F.A., Tsao, M.S., Haura, E.B., Bolca, C., Holcatova, I., Janout, V., Kontic, M., Lissowska, J., Mukeria, A., Ognjanovic, S., Orlowski, T.M., Scelo, G., Swiatkowska, B., Zaridze, D., Bakke, P., Skaug, V., Zienolddiny, S., Duell, E.J., Butler, L.M., Koh, W.P., Gao, Y.T., Houlston, R.S., McLaughlin, J., Stevens, V.L., Joubert, P., Lamontagne, M., Nickle, D.C., Obeidat, M., Timens, W., Zhu, B, Kachuri, L., Artigas, M.S., Tobin, M.D., Wain, L.V., Rafnar, T., Thorgeirsson, T.E., Reginsson, G.W., Stefansson, K., Hancock, D.B., Bierut, L.J., Spitz, M.R., Gaddis, N.C., Lutz, S.M., Kamal, A., Pikielny, C., Zhu, D., Lindströem, S., Jiang, X., Tyndale, R.F., Chenevix-Trench, G., Beesley, J., Bossé, Y., Chanock, S., Brennan, P., Landi, M.T., Amos, C.I., McKay, J.D., Hung, R.J., Han, Y., Zong, X., Carreras-Torres, R., Christiani, D.C., Caporaso, N., Johansson, M., Li, Y., Byun, J.Y., Dunning, A., Pooley, K.A., Qian, D.C., Liu, G., Bojesen, S.E., Wu, X., Marchand, L. le, Albanes, D., Bickeböller, H., Aldrich, M.C., Bush, W.S., Tardon, A., Rennert, G., Teare, M.D., Field, J.K., Kiemeney, L.A., Lazarus, P., Haugen, A., Schabath, M.B., Andrew, A.S., Shen, H., Hong, Y.C., Yuan, J.M., Bertazzi, P.A., Pesatori, A.C., Ye, Y., Diao, N., Su, L., Zhang, R., Brhane, Y., Leighl, N., Johansen, J.S., Mellemgaard, A., Saliba, W., Haiman, C.A., Wilkens, L.R., Fernandez-Somoano, A., Fernandez-Tardon, G., Heijden, H.F.M. van der, Kim, J.H., Hu, Z, Davies, M., Brunnström, H., Manjer, J., Melander, O., Muller, D., Overvad, K., Trichopoulou, A., Tumino, R., Doherty, J.A., Barnett, M.P., Chen, C., Goodman, G.E., Cox, A, Taylor, F., Woll, P.J., Brüske, I., Wichmann, H.E., Manz, J., Muley, T.R., Risch, A., Rosenberger, A., Grankvist, K., Shepherd, F.A., Tsao, M.S., Haura, E.B., Bolca, C., Holcatova, I., Janout, V., Kontic, M., Lissowska, J., Mukeria, A., Ognjanovic, S., Orlowski, T.M., Scelo, G., Swiatkowska, B., Zaridze, D., Bakke, P., Skaug, V., Zienolddiny, S., Duell, E.J., Butler, L.M., Koh, W.P., Gao, Y.T., Houlston, R.S., McLaughlin, J., Stevens, V.L., Joubert, P., Lamontagne, M., Nickle, D.C., Obeidat, M., Timens, W., Zhu, B, Kachuri, L., Artigas, M.S., Tobin, M.D., Wain, L.V., Rafnar, T., Thorgeirsson, T.E., Reginsson, G.W., Stefansson, K., Hancock, D.B., Bierut, L.J., Spitz, M.R., Gaddis, N.C., Lutz, S.M., Kamal, A., Pikielny, C., Zhu, D., Lindströem, S., Jiang, X., Tyndale, R.F., Chenevix-Trench, G., Beesley, J., Bossé, Y., Chanock, S., Brennan, P., Landi, M.T., and Amos, C.I.
Abstract: Contains fulltext : 177377.pdf (Publisher’s version ) (Closed access)
Published: 2017

17. 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

18. Fine-scale mapping of 8q24 locus identifies multiple independent risk variants for breast cancer

Author: Shi, J.J., Zhang, Y.F., Zheng, W., Michailidou, K., Ghoussaini, M., Bolla, M.K., Wang, Q., Dennis, J., Lush, M., Milne, R.L., Shu, X.O., Beesley, J., Kar, S., Andrulis, I.L., Anton-Culver, H., Arndt, V., Beckmann, M.W., Zhao, Z.G., Guo, X.Y., Benitez, J., Beeghly-Fadiel, A., Blot, W., Bogdanova, N.V., Bojesen, S.E., Brauch, H., Brenner, H., Brinton, L., Broeks, A., Bruening, T., Burwinkel, B., Cai, H., Canisius, S., Chang-Claude, J., Choi, J.Y., Couch, F.J., Cox, A., Cross, S.S., Czene, K., Darabi, H., Devilee, P., Droit, A., Dork, T., Fasching, P.A., Fletcher, O., Flyger, H., Fostira, F., Gaborieau, V., Garcia-Closas, M., Giles, G.G., Grip, M., Guenel, P., Haiman, C.A., Hamann, U., Hartman, M., Miao, H., Hollestelle, A., Hopper, J.L., Hsiung, C.N., Investigators, K., Ito, H., Jakubowska, A., Johnson, N., Torres, D., Kabisch, M., Kang, D., Khan, S., Knight, J.A., Kosma, V.M., Lambrechts, D., Li, J.M., Lindblom, A., Lophatananon, A., Lubinski, J., Mannermaa, A., Manoukian, S., Marchand, L. le, Margolin, S., Marme, F., Matsuo, K., McLean, C., Meindl, A., Muir, K., Neuhausen, S.L., Nevanlinna, H., Nord, S., Borresen-Dale, A.L., Olson, J.E., Orr, N., Ouweland, A.M.W. van den, Peterlongo, P., Putti, T.C., Rudolph, A., Sangrajrang, S., Sawyer, E.J., Schmidt, M.K., Schmutzler, R.K., Shen, C.Y., Hou, M.F., Shrubsole, M.J., Southey, M.C., Swerdlow, A., Teo, S.H., Thienpont, B., Toland, A.E., Tollenaar, R.A.E.M., Tomlinson, I., Truong, T., Tseng, C.C., Wen, W.Q., Winqvist, R., Wu, A.H., Yip, C.H., Zamora, P.M., Zheng, Y., Floris, G., Cheng, C.Y., Hooning, M.J., Martens, J.W.M., Seynaeve, C., Kristensen, V.N., Hall, P., Pharoah, P.D.P., Simard, J., Chenevix-Trench, G., Dunning, A.M., Antoniou, A.C., Easton, D.F., Cai, Q.Y., Long, J.R., 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], Antoniou, Antonis [0000-0001-9223-3116], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository
Subjects: breast cancer, fine-mapping, single nucleotide polymorphism, 8q24, genetic susceptibility
Abstract: Previous genome-wide association studies among women of European ancestry identified two independent breast cancer susceptibility loci represented by single nucleotide polymorphisms (SNPs) rs13281615 and rs11780156 at 8q24. A fine-mapping study across 2.06 Mb (chr8:127,561,724-129,624,067, hg19) in 55,540 breast cancer cases and 51,168 controls within the Breast Cancer Association Consortium was conducted. Three additional independent association signals in women of European ancestry, represented by rs35961416 (OR = 0.95, 95% CI = 0.93-0.97, conditional p = 5.8 × 10(-6) ), rs7815245 (OR = 0.94, 95% CI = 0.91-0.96, conditional p = 1.1 × 10(-6) ) and rs2033101 (OR = 1.05, 95% CI = 1.02-1.07, conditional p = 1.1 × 10(-4) ) were found. Integrative analysis using functional genomic data from the Roadmap Epigenomics, the Encyclopedia of DNA Elements project, the Cancer Genome Atlas and other public resources implied that SNPs rs7815245 in Signal 3, and rs1121948 in Signal 5 (in linkage disequilibrium with rs11780156, r(2) = 0.77), were putatively functional variants for two of the five independent association signals. The results highlighted multiple 8q24 variants associated with breast cancer susceptibility in women of European ancestry.
Published: 2016

19. 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

20. Genetic predisposition to ductal carcinoma in situ of the breast

Author: Petridis, C., Brook, M.N., Shah, V., Kohut, K., Gorman, P., Caneppele, M., Levi, D., Papouli, E., Orr, N., Cox, A., Cross, S.S., dos-Santos-Silva, I., Peto, J., Swerdlow, A., Schoemaker, M.J., Bolla, M.K., Wang, Q., Dennis, J., Michailidou, K., Benitez, J., Gonzalez-Neira, A., Tessier, D.C., Vincent, D., Li, J.M., Figueroa, J., Kristensen, V., Borresen-Dale, A.L., Soucy, P., Simard, J., Milne, R.L., Giles, G.G., Margolin, S., Lindblom, A., Bruning, T., Brauch, H., Southey, M.C., Hopper, J.L., Dork, T., Bogdanova, N.V., Kabisch, M., Hamann, U., Schmutzler, R.K., Meindl, A., Brenner, H., Arndt, V., Winqvist, R., Pylkas, K., Fasching, P.A., Beckmann, M.W., Lubinski, J., Jakubowska, A., Mulligan, A.M., Andrulis, I.L., Tollenaar, R.A.E.M., Devilee, P., Marchand, L. le, Haiman, C.A., Mannermaa, A., Kosma, V.M., Radice, P., Peterlongo, P., Marme, F., Burwinkel, B., Deurzen, C.H.M. van, Hollestelle, A., Miller, N., Kerin, M.J., Lambrechts, D., Floris, G., Wesseling, J., Flyger, H., Bojesen, S.E., Yao, S., Ambrosone, C.B., Chenevix-Trench, G., Truong, T., Guenel, P., Rudolph, A., Chang-Claude, J., Nevanlinna, H., Blomqvist, C., Czene, K., Brand, J.S., Olson, J.E., Couch, F.J., Dunning, A.M., Hall, P., Easton, D.F., Pharoah, P.D.P., Pinder, S.E., Schmidt, M.K., Tomlinson, I., Roylance, R., Garcia-Closas, M., Sawyer, E.J., Pathology, Medical Oncology, Department of Obstetrics and Gynecology, Clinicum, and Department of Oncology
Subjects: 3122 Cancers, Breast Neoplasms, cancer risk, 610 Medical sciences Medicine, SDG 3 - Good Health and Well-being, Medizinische Fakultät, Humans, Genetic Predisposition to Disease, Neoplasm Invasiveness, ddc:610, risk-factors, skin and connective tissue diseases, neoplasms, Medicine(all), grade, variants, Genetic predisposition, Common variants, Carcinoma, Ductal, Breast, Ductal carcinoma in situ, susceptibility loci, Association study, body regions, dcis, Carcinoma, Intraductal, Noninfiltrating, genome-wide association, Carcinoma in Situ, metaanalysis, Research Article
Abstract: Background Ductal carcinoma in situ (DCIS) is a non-invasive form of breast cancer. It is often associated with invasive ductal carcinoma (IDC), and is considered to be a non-obligate precursor of IDC. It is not clear to what extent these two forms of cancer share low-risk susceptibility loci, or whether there are differences in the strength of association for shared loci. Methods To identify genetic polymorphisms that predispose to DCIS, we pooled data from 38 studies comprising 5,067 cases of DCIS, 24,584 cases of IDC and 37,467 controls, all genotyped using the iCOGS chip. Results Most (67 %) of the 76 known breast cancer predisposition loci showed an association with DCIS in the same direction as previously reported for invasive breast cancer. Case-only analysis showed no evidence for differences between associations for IDC and DCIS after considering multiple testing. Analysis by estrogen receptor (ER) status confirmed that loci associated with ER positive IDC were also associated with ER positive DCIS. Analysis of DCIS by grade suggested that two independent SNPs at 11q13.3 near CCND1 were specific to low/intermediate grade DCIS (rs75915166, rs554219). These associations with grade remained after adjusting for ER status and were also found in IDC. We found no novel DCIS-specific loci at a genome wide significance level of P
Published: 2016

21. 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

22. Identification of novel genetic markers of breast cancer survival

Author: Guo, Q., Schmidt, M.K., Kraft, P., Canisius, S., Chen, C., Khan, S., Tyrer, J., Bolla, M.K., Wang, Q., Dennis, J., Michailidou, K., Lush, M., Kar, S., Beesley, J., Dunning, A.M., Shah, M., Czene, K., Darabi, H., Eriksson, M., Lambrechts, D., Weltens, C., Leunen, K., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Blomqvist, C., Aittomaki, K., Fagerholm, R., Muranen, T.A., Couch, F.J., Olson, J.E., Vachon, C., Andrulis, I.L., Knight, J.A., Glendon, G., Mulligan, A.M., Broeks, A., Hogervorst, F.B., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Hopper, J.L., Tsimiklis, H., Apicella, C., Southey, M.C., Cox, A., Cross, S.S., Reed, M.W.R., Giles, G.G., Milne, R.L., McLean, C., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Hooning, M.J., Hollestelle, A., Martens, J.W.M., Ouweland, A.M.W. van den, Marme, F., Schneeweiss, A., Yang, R.X., Burwinkel, B., Figueroa, J., Chanock, S.J., Lissowska, J., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Brenner, H., Dieffenbach, A.K., Arndt, V., Holleczek, B., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Li, J.M., Brand, J.S., Humphreys, K., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Radice, P., Peterlongo, P., Bonanni, B., Mariani, P., Fasching, P.A., Beckmann, M.W., Hein, A., Ekici, A.B., Chenevix-Trench, G., Balleine, R., Phillips, K.A., Benitez, J., Zamora, M.P., Perez, J.I.A., Menendez, P., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Hamann, U., Kabisch, M., Ulmer, H.U., Rudiger, T., Margolin, S., Kristensen, V., Nord, S., Evans, D.G., Abraham, J.E., Earl, H.M., Hiller, L., Dunn, J.A., Bowden, S., Berg, C., Campa, D., Diver, W.R., Gapstur, S.M., Gaudet, M.M., Hankinson, S.E., Hoover, R.N., Husing, A., Kaaks, R., Machiela, M.J., Willett, W., Barrdahl, M., Canzian, F., Chin, S.F., Caldas, C., Hunter, D.J., Lindstrom, S., Garcia-Closas, M., Hall, P., Easton, D.F., Eccles, D.M., Rahman, N., Nevanlinna, H., Pharoah, P.D.P., kConFab Investigators, Tyrer, Jonathan [0000-0003-3724-4757], Wang, Jean [0000-0002-9139-0627], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Abraham, Jean [0000-0003-0688-4807], Earl, Helena [0000-0003-1549-8094], Chin, Suet-Feung [0000-0001-5697-1082], Caldas, Carlos [0000-0003-3547-1489], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], and Apollo - University of Cambridge Repository
Subjects: Genetic Markers, Genotype, Receptors, Estrogen, Humans, Breast Neoplasms, Female, Genetic Predisposition to Disease, Prognosis, Polymorphism, Single Nucleotide, Survival Analysis, White People
Abstract: BACKGROUND: Survival after a diagnosis of breast cancer varies considerably between patients, and some of this variation may be because of germline genetic variation. We aimed to identify genetic markers associated with breast cancer-specific survival. METHODS: We conducted a large meta-analysis of studies in populations of European ancestry, including 37954 patients with 2900 deaths from breast cancer. Each study had been genotyped for between 200000 and 900000 single nucleotide polymorphisms (SNPs) across the genome; genotypes for nine million common variants were imputed using a common reference panel from the 1000 Genomes Project. We also carried out subtype-specific analyses based on 6881 estrogen receptor (ER)-negative patients (920 events) and 23059 ER-positive patients (1333 events). All statistical tests were two-sided. RESULTS: We identified one new locus (rs2059614 at 11q24.2) associated with survival in ER-negative breast cancer cases (hazard ratio [HR] = 1.95, 95% confidence interval [CI] = 1.55 to 2.47, P = 1.91 x 10(-8)). Genotyping a subset of 2113 case patients, of which 300 were ER negative, provided supporting evidence for the quality of the imputation. The association in this set of case patients was stronger for the observed genotypes than for the imputed genotypes. A second locus (rs148760487 at 2q24.2) was associated at genome-wide statistical significance in initial analyses; the association was similar in ER-positive and ER-negative case patients. Here the results of genotyping suggested that the finding was less robust. CONCLUSIONS: This is currently the largest study investigating genetic variation associated with breast cancer survival. Our results have potential clinical implications, as they confirm that germline genotype can provide prognostic information in addition to standard tumor prognostic factors.
Published: 2015

23. 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

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

Author: Southey, M.C., Goldgar, D.E., Winqvist, R., Pylkas, K., Couch, F., Tischkowitz, M., Foulkes, W.D., Dennis, J., Michailidou, K., Rensburg, E.J. van, Heikkinen, T., Nevanlinna, H., Hopper, J.L., Dork, T., Claes, K.B., Reis-Filho, J., Teo, Z.L., Radice, P., Catucci, I., Peterlongo, P., Tsimiklis, H., Odefrey, F.A., Dowty, J.G., Schmidt, M.K., Broeks, A., Hogervorst, F.B., Verhoef, S., Carpenter, J., Clarke, C., Scott, R.J., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Peto, J., Dos-Santos-Silva, I., Fletcher, O., Johnson, N., Bolla, M.K., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Marme, F., Burwinkel, B., Yang, R., Guenel, P., Truong, T., Menegaux, F., Sanchez, M., Bojesen, S., Nielsen, S.F., Flyger, H., Benitez, J., Zamora, M.P., Perez, J.I., Menendez, P., Anton-Culver, H., Neuhausen, S., Ziogas, A., Clarke, C.A., Brenner, H., Arndt, V., Stegmaier, C., Brauch, H., Bruning, T., Ko, Y.D., Muranen, T.A., Aittomaki, K., Blomqvist, C., Bogdanova, N.V., Antonenkova, N.N., Lindblom, A., Margolin, S., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Spurdle, A.B., Wauters, E., Smeets, D., Beuselinck, B., Floris, G., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Olson, J.E., Vachon, C., Pankratz, V.S., McLean, C., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. Le, Kristensen, V., Alnaes, G.G., Zheng, W., Hunter, D.J., Altena, A.M. van, Aben, K.K.H., Kiemeney, L.A.L.M., Massuger, L.F.A.G., et al., Southey, M.C., Goldgar, D.E., Winqvist, R., Pylkas, K., Couch, F., Tischkowitz, M., Foulkes, W.D., Dennis, J., Michailidou, K., Rensburg, E.J. van, Heikkinen, T., Nevanlinna, H., Hopper, J.L., Dork, T., Claes, K.B., Reis-Filho, J., Teo, Z.L., Radice, P., Catucci, I., Peterlongo, P., Tsimiklis, H., Odefrey, F.A., Dowty, J.G., Schmidt, M.K., Broeks, A., Hogervorst, F.B., Verhoef, S., Carpenter, J., Clarke, C., Scott, R.J., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Peto, J., Dos-Santos-Silva, I., Fletcher, O., Johnson, N., Bolla, M.K., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Marme, F., Burwinkel, B., Yang, R., Guenel, P., Truong, T., Menegaux, F., Sanchez, M., Bojesen, S., Nielsen, S.F., Flyger, H., Benitez, J., Zamora, M.P., Perez, J.I., Menendez, P., Anton-Culver, H., Neuhausen, S., Ziogas, A., Clarke, C.A., Brenner, H., Arndt, V., Stegmaier, C., Brauch, H., Bruning, T., Ko, Y.D., Muranen, T.A., Aittomaki, K., Blomqvist, C., Bogdanova, N.V., Antonenkova, N.N., Lindblom, A., Margolin, S., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Spurdle, A.B., Wauters, E., Smeets, D., Beuselinck, B., Floris, G., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Olson, J.E., Vachon, C., Pankratz, V.S., McLean, C., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. Le, Kristensen, V., Alnaes, G.G., Zheng, W., Hunter, D.J., Altena, A.M. van, Aben, K.K.H., Kiemeney, L.A.L.M., Massuger, L.F.A.G., and et al.
Abstract: Contains fulltext : 171115.pdf (publisher's version ) (Open Access), BACKGROUND: The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. METHODS: We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2 c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. RESULTS: For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1x10-5), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p=6.9x10-8) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (pG OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. CONCLUSIONS: This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.
Published: 2016

25. Genetic Risk Can Be Decreased: Quitting Smoking Decreases and Delays Lung Cancer for Smokers With High and Low CHRNA5 Risk Genotypes - A Meta-Analysis

Author: Chen, L.S., Baker, T., Hung, R.J., Horton, A., Culverhouse, R., Hartz, S., Saccone, N., Cheng, I., Deng, B., Han, Y., Hansen, H.M., Horsman, J., Kim, C., Rosenberger, A., Aben, K.K.H., Andrew, A.S., Chang, S.C., Saum, K.U., Dienemann, H., Hatsukami, D.K., Johnson, E.O., Pande, M., Wrensch, M.R., McLaughlin, J., Skaug, V., Heijden, E. van der, Wampfler, J., Wenzlaff, A., Woll, P., Zienolddiny, S., Bickeboller, H., Brenner, H., Duell, E.J., Haugen, A., Bruske, I., Kiemeney, L.A.L.M., Lazarus, P., Marchand, L. Le, Liu, G., Mayordomo, J., Risch, A., Schwartz, A.G., Teare, M.D., Wu, X., Wiencke, J.K., Yang, P., Zhang, Z.F., Spitz, M.R., Amos, C.I., Bierut, L.J., Chen, L.S., Baker, T., Hung, R.J., Horton, A., Culverhouse, R., Hartz, S., Saccone, N., Cheng, I., Deng, B., Han, Y., Hansen, H.M., Horsman, J., Kim, C., Rosenberger, A., Aben, K.K.H., Andrew, A.S., Chang, S.C., Saum, K.U., Dienemann, H., Hatsukami, D.K., Johnson, E.O., Pande, M., Wrensch, M.R., McLaughlin, J., Skaug, V., Heijden, E. van der, Wampfler, J., Wenzlaff, A., Woll, P., Zienolddiny, S., Bickeboller, H., Brenner, H., Duell, E.J., Haugen, A., Bruske, I., Kiemeney, L.A.L.M., Lazarus, P., Marchand, L. Le, Liu, G., Mayordomo, J., Risch, A., Schwartz, A.G., Teare, M.D., Wu, X., Wiencke, J.K., Yang, P., Zhang, Z.F., Spitz, M.R., Amos, C.I., and Bierut, L.J.
Abstract: Contains fulltext : 172618.pdf (publisher's version ) (Open Access), BACKGROUND: Recent meta-analyses show that individuals with high risk variants in CHRNA5 on chromosome 15q25 are likely to develop lung cancer earlier than those with low-risk genotypes. The same high-risk genetic variants also predict nicotine dependence and delayed smoking cessation. It is unclear whether smoking cessation confers the same benefits in terms of lung cancer risk reduction for those who possess CHRNA5 risk variants versus those who do not. METHODS: Meta-analyses examined the association between smoking cessation and lung cancer risk in 15 studies of individuals with European ancestry who possessed varying rs16969968 genotypes (N=12,690 ever smokers, including 6988 cases of lung cancer and 5702 controls) in the International Lung Cancer Consortium. RESULTS: Smoking cessation (former vs. current smokers) was associated with a lower likelihood of lung cancer (OR=0.48, 95%CI=0.30-0.75, p=0.0015). Among lung cancer patients, smoking cessation was associated with a 7-year delay in median age of lung cancer diagnosis (HR=0.68, 95%CI=0.61-0.77, p=4.9 *10-10). The CHRNA5 rs16969968 risk genotype (AA) was associated with increased risk and earlier diagnosis for lung cancer, but the beneficial effects of smoking cessation were very similar in those with and without the risk genotype. CONCLUSION: We demonstrate that quitting smoking is highly beneficial in reducing lung cancer risks for smokers regardless of their CHRNA5 rs16969968 genetic risk status. Smokers with high-risk CHRNA5 genotypes, on average, can largely eliminate their elevated genetic risk for lung cancer by quitting smoking- cutting their risk of lung cancer in half and delaying its onset by 7years for those who develop it. These results: 1) underscore the potential value of smoking cessation for all smokers, 2) suggest that CHRNA5 rs16969968 genotype affects lung cancer diagnosis through its effects on smoking, and 3) have potential value for framing preventive interventions for those who smoke.
Published: 2016

26. 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

27. MicroRNA related polymorphisms and breast cancer risk

Author: Khan, S., Greco, D., Michailidou, K., Milne, R.L., Muranen, T.A., Heikkinen, T., Aaltonen, K., Dennis, J., Bolla, M.K., Liu, J., Hall, P., Irwanto, A., Humphreys, K., Li, J., Czene, K., Chang-Claude, J., Hein, R., Rudolph, A., Seibold, P., Flesch-Janys, D., Fletcher, O., Peto, J., Silva, I.D., Johnson, N., Gibson, L., Aitken, Z., Hopper, J.L., Tsimiklis, H., Bui, M., Makalic, E., Schmidt, D.F., Southey, M.C., Apicella, C., Stone, J., Waisfisz, Q., Meijers-Heijboer, H., Adank, M.A., Luijt, R.B. van der, Meindl, A., Schmutzler, R.K., Muller-Myhsok, B., Lichtner, P., Turnbull, C., Rahman, N., Chanock, S.J., Hunter, D.J., Cox, A., Cross, S.S., Reed, M.W.R., Schmidt, M.K., Broeks, A., Van't Veer, L.J., Hogervorst, F.B., Fasching, P.A., Schrauder, M.G., Ekici, A.B., Beckmann, M.W., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Benitez, J., Zamora, P.M., Perez, J.I.A., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Pharoah, P.D.P., Dunning, A.M., Shah, M., Luben, R., Brown, J., Couch, F.J., Wang, X., Vachon, C., Olson, J.E., Lambrechts, D., Moisse, M., Paridaens, R., Christiaens, M.R., Guenel, P., Truong, T., Laurent-Puig, P., Mulot, C., Marme, F., Burwinkel, B., Schneeweiss, A., Sohn, C., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Andrulis, I.L., Knight, J.A., Tchatchou, S., Mulligan, A.M., Dork, T., Bogdanova, N.V., Antonenkova, N.N., Anton-Culver, H., Darabi, H., Eriksson, M., Garcia-Closas, M., Figueroa, J., Lissowska, J., Brinton, L., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Asperen, C.J. van, Kristensen, V.N., Slager, S., Toland, A.E., Ambrosone, C.B., Yannoukakos, D., Lindblom, A., Margolin, S., Radice, P., Peterlongo, P., Barile, M., Mariani, P., Hooning, M.J., Martens, J.W.M., Collee, J.M., Jager, A., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Giles, G.G., McLean, C., Brauch, H., Bruning, T., Ko, Y.D., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Swerdlow, A., Ashworth, A., Orr, N., Jones, M., Simard, J., Goldberg, M.S., Labreche, F., Dumont, M., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Kataja, V., Kosma, V.M., Hartikainen, J.M., Mannermaa, A., Hamann, U., Chenevix-Trench, G., Blomqvist, C., Aittomaki, K., Easton, D.F., Nevanlinna, H., KConFab Investigators, Australian Ovarian Canc Study Grp, GENICA Network, Department of Obstetrics and Gynecology, Clinicum, Department of Oncology, Haartman Institute (-2014), Department of Medical and Clinical Genetics, HUS Gynecology and Obstetrics, Human genetics, CCA - Oncogenesis, Obstetrics & Gynecology, Medical Oncology, Erasmus MC other, and Clinical Genetics
Subjects: Heredity, IDENTIFIES 3, lcsh:Medicine, Estrogen receptor, Genome-wide association study, Bioinformatics, 3123 Gynaecology and paediatrics, HUMAN GENES, lcsh:Science, 3' Untranslated Regions, Multidisciplinary, Research Support, Non-U.S. Gov't, Chromosome Mapping, SINGLE-NUCLEOTIDE POLYMORPHISMS, 3. Good health, Receptors, Estrogen, Female, CASP8 GENE, Research Article, EXPRESSION, Genotype, SUSCEPTIBILITY LOCI, education, 3122 Cancers, MiRNA binding, Single-nucleotide polymorphism, Breast Neoplasms, Biology, Genetic Predisposition, Polymorphism, Single Nucleotide, BINDING-SITES, Breast cancer, REDUCED RISK, Research Support, N.I.H., Extramural, SDG 3 - Good Health and Well-being, microRNA, Genetic predisposition, medicine, Journal Article, Genetics, Cancer Genetics, Humans, GENOME-WIDE ASSOCIATION, Drosha, Genetic Association Studies, Binding Sites, Complex Traits, lcsh:R, Biology and Life Sciences, Computational Biology, Human Genetics, medicine.disease, Research Support, N.I.H., Intramural, COMMON VARIANT, MicroRNAs, Case-Control Studies, Genetics of Disease, lcsh:Q, Research Support, U.S. Gov't, Non-P.H.S, Genome-Wide Association Study
Abstract: Genetic variations, such as single nucleotide polymorphisms (SNPs) in microRNAs (miRNA) or in the miRNA binding sites may affect the miRNA dependent gene expression regulation, which has been implicated in various cancers, including breast cancer, and may alter individual susceptibility to cancer. We investigated associations between miRNA related SNPs and breast cancer risk. First we evaluated 2,196 SNPs in a case-control study combining nine genome wide association studies (GWAS). Second, we further investigated 42 SNPs with suggestive evidence for association using 41,785 cases and 41,880 controls from 41 studies included in the Breast Cancer Association Consortium (BCAC). Combining the GWAS and BCAC data within a meta-analysis, we estimated main effects on breast cancer risk as well as risks for estrogen receptor (ER) and age defined subgroups. Five miRNA binding site SNPs associated significantly with breast cancer risk: rs1045494 (odds ratio (OR) 0.92; 95 confidence interval (CI): 0.88-0.96), rs1052532 (OR 0.97; 95 CI: 0.95-0.99), rs10719 (OR 0.97; 95 Cl: 0.94-0.99), rs4687554 (OR 0.97; 95 CI: 0.95-0.99, and rs3134615 (OR 1.03; 95 CI: 1.01 -1.05) located in the 3' UTR of CASP8, HDDC3, DROSHA, MUSTN1, and MYCL1, respectively. DROSHA belongs to miRNA machinery genes and has a central role in initial miRNA processing. The remaining genes are involved in different molecular functions, including apoptosis and gene expression regulation. Further studies are warranted to elucidate whether the miRNA binding site SNPs are the causative variants for the observed risk effects. This is an open-access article free of all copyright.
Published: 2014

28. CHRNA5 risk variant predicts delayed smoking cessation and earlier lung cancer diagnosis--a meta-analysis

Author: Chen, L.S., Hung, R.J., Baker, T., Horton, A., Culverhouse, R., Saccone, N., Cheng, I., Deng, B., Han, Y., Hansen, H.M., Horsman, J., Kim, C., Lutz, S., Rosenberger, A., Aben, K.K.H., Andrew, A.S., Breslau, N., Chang, S.C., Dieffenbach, A.K., Dienemann, H., Frederiksen, B., Han, J., Hatsukami, D.K., Johnson, E.O., Pande, M., Wrensch, M.R., McLaughlin, J., Skaug, V., Heijden, H.F.M. van der, Wampfler, J., Wenzlaff, A., Woll, P., Zienolddiny, S., Bickeboller, H., Brenner, H., Duell, E.J., Haugen, A., Heinrich, J., Hokanson, J.E., Hunter, D.J., Kiemeney, B., Lazarus, P., Marchand, L. Le, Liu, G., Mayordomo, J., Risch, A., Schwartz, A.G., Teare, D., Wu, X., Wiencke, J.K., Yang, P., Zhang, Z.F., Spitz, M.R., Kraft, P., Amos, C.I., Bierut, L.J., Chen, L.S., Hung, R.J., Baker, T., Horton, A., Culverhouse, R., Saccone, N., Cheng, I., Deng, B., Han, Y., Hansen, H.M., Horsman, J., Kim, C., Lutz, S., Rosenberger, A., Aben, K.K.H., Andrew, A.S., Breslau, N., Chang, S.C., Dieffenbach, A.K., Dienemann, H., Frederiksen, B., Han, J., Hatsukami, D.K., Johnson, E.O., Pande, M., Wrensch, M.R., McLaughlin, J., Skaug, V., Heijden, H.F.M. van der, Wampfler, J., Wenzlaff, A., Woll, P., Zienolddiny, S., Bickeboller, H., Brenner, H., Duell, E.J., Haugen, A., Heinrich, J., Hokanson, J.E., Hunter, D.J., Kiemeney, B., Lazarus, P., Marchand, L. Le, Liu, G., Mayordomo, J., Risch, A., Schwartz, A.G., Teare, D., Wu, X., Wiencke, J.K., Yang, P., Zhang, Z.F., Spitz, M.R., Kraft, P., Amos, C.I., and Bierut, L.J.
Abstract: Item does not contain fulltext, BACKGROUND: Recent meta-analyses show strong evidence of associations among genetic variants in CHRNA5 on chromosome 15q25, smoking quantity, and lung cancer. This meta-analysis tests whether the CHRNA5 variant rs16969968 predicts age of smoking cessation and age of lung cancer diagnosis. METHODS: Meta-analyses examined associations between rs16969968, age of quitting smoking, and age of lung cancer diagnosis in 24 studies of European ancestry (n = 29 072). In each dataset, we used Cox regression models to evaluate the association between rs16969968 and the two primary phenotypes (age of smoking cessation among ever smokers and age of lung cancer diagnosis among lung cancer case patients) and the secondary phenotype of smoking duration. Heterogeneity across studies was assessed with the Cochran Q test. All statistical tests were two-sided. RESULTS: The rs16969968 allele (A) was associated with a lower likelihood of smoking cessation (hazard ratio [HR] = 0.95, 95% confidence interval [CI] = 0.91 to 0.98, P = .0042), and the AA genotype was associated with a four-year delay in median age of quitting compared with the GG genotype. Among smokers with lung cancer diagnoses, the rs16969968 genotype (AA) was associated with a four-year earlier median age of diagnosis compared with the low-risk genotype (GG) (HR = 1.08, 95% CI = 1.04 to 1.12, P = 1.1*10(-5)). CONCLUSION: These data support the clinical significance of the CHRNA5 variant rs16969968. It predicts delayed smoking cessation and an earlier age of lung cancer diagnosis in this meta-analysis. Given the existing evidence that this CHRNA5 variant predicts favorable response to cessation pharmacotherapy, these findings underscore the potential clinical and public health importance of rs16969968 in CHRNA5 in relation to smoking cessation success and lung cancer risk.
Published: 2015

29. Large-scale genotyping identifies 41 new loci associated with breast cancer risk

Author: Michailidou, K., Hall, P., Gonzalez-Neira, A., Ghoussaini, M., Dennis, J., Milne, R.L., Schmidt, M.K., Chang-Claude, J., Bojesen, S.E., Bolla, M.K., Wang, Q., Dicks, E., Lee, A., Turnbull, C., Rahman, N., Fletcher, O., Peto, J., Gibson, L., Silva, I.D., Nevanlinna, H., Muranen, T.A., Aittomaki, K., Blomqvist, C., Czene, K., Irwanto, A., Liu, J.J., Waisfisz, Q., Meijers-Heijboer, H., Adank, M., Luijt, R.B. van der, Hein, R., Dahmen, N., Beckman, L., Meindl, A., Schmutzler, R.K., Muller-Myhsok, B., Lichtner, P., Hopper, J.L., Southey, M.C., Makalic, E., Schmidt, D.F., Uitterlinden, A.G., Hofman, A., Hunter, D.J., Chanock, S.J., Vincent, D., Bacot, F., Tessier, D.C., Canisius, S., Wessels, L.F.A., Haiman, C.A., Shah, M., Luben, R., Brown, J., Luccarini, C., Schoof, N., Humphreys, K., Li, J.M., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Couch, F.J., Wang, X.S., Vachon, C., Stevens, K.N., Lambrechts, D., Moisse, M., Paridaens, R., Christiaens, M.R., Rudolph, A., Nickels, S., Flesch-Janys, D., Johnson, N., Aitken, Z., Aaltonen, K., Heikkinen, T., Broeks, A., Van't Veer, L.J., Schoot, C.E. van der, Guenel, P., Truong, T., Laurent-Puig, P., Menegaux, F., Marme, F., Schneeweiss, A., Sohn, C., Burwinke, B., Zamora, M.P., Perez, J.I.A., Pita, G., Alonso, M.R., Cox, A., Brock, I.W., Cross, S.S., Reed, M.W.R., Sawyer, E.J., Tomlinson, I., Kerin, M.J., Miller, N., Henderson, B.E., Schumacher, F., Marchand, L. le, Andrulis, I.L., Knight, J.A., Glendon, G., Mulligan, A.M., Lindblom, A., Margolin, S., Hooning, M.J., Hollestelle, A., Ouweland, A.M.W. van den, Jager, A., Bui, Q.M., Stone, J., Dite, G.S., Apicella, C., Tsimiklis, H., Giles, G.G., Severi, G., Baglietto, L., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Brenner, H., Muller, H., Arndt, V., Stegmaier, C., Swerdlown, A., Ashworth, A., Orr, N., Jones, M., Figueroa, J., Lissowska, J., Brinton, L., Goldberg, M.S., Labreche, F., Dumont, M., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Brauch, H., Hamann, U., Bruning, T., Radice, P., Peterlongo, P., Manouldan, S., Bonanni, B., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Asperen, C.J. van, Jakubowska, A., Lubinski, J., Jaworska, K., Durda, K., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Bogdanova, N.V., Antonenkova, N.N., Dork, T., Kristensen, V.N., Anton-Culver, H., Slager, S., Toland, A.E., Edge, S., Fostira, F., Kang, D., Yoo, K.Y., Noh, D.Y., Matsuo, K., Ito, H., Iwata, H., Sueta, A., Wu, A.H., Tseng, C.C., Berg, D. van den, Stram, D.O., Shu, X.O., Lu, W., Gao, Y.T., Cai, H., Teo, S.H., Yip, C.H., Phuah, S.Y., Cornes, B.K., Hartman, M., Miao, H., Lim, W.Y., Sng, J.H., Muir, K., Lophatananon, A., Stewart-Brown, S., Siriwanarangsan, P., Shen, C.Y., Hsiung, C.N., Wu, P.E., Ding, S.L., Sangrajrang, S., Gaborieau, V., Brennan, P., Mckay, J., Blot, W.J., Signorello, L.B., Cai, Q.Y., Zheng, W., Deming-Halverson, S., Shrubsole, M., Long, J.R., Simard, J., Garcia-Closas, M., Pharoah, P.D.P., Chenevix-Trench, G., Dunning, A.M., Benitez, J., Easton, D.F., Breast Ovarian Canc Susceptibility, Hereditary Breast Ovarian Canc Res, kConFab Investigators, Australian Ovarian Can Study Grp, GENICA Gene Environm Interaction B, CCA -Cancer Center Amsterdam, ARD - Amsterdam Reproduction and Development, Human Genetics, Landsteiner Laboratory, Clinical Haematology, Clinical Genetics, Internal Medicine, Epidemiology, Medical Oncology, Cardiothoracic Surgery, Human genetics, CCA - Oncogenesis, and ~
Subjects: signaling pathway, Genotyping, Genotype, Single-nucleotide polymorphism, Genome-wide association study, Breast Neoplasms, consortium, Biology, Case-Control Studies, Cooperative Behavior, Female, Gene-Environment Interaction, Genetic Loci, Genome-Wide Association Study, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Risk Factors, Genetic Predisposition to Disease, Genetics, Article, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, SDG 3 - Good Health and Well-being, common variants, expression, medicine, Polymorphism, gene, hormone-related protein, 030304 developmental biology, Genetic association, 0303 health sciences, Breast cancer susceptibility, Cancer, Single Nucleotide, medicine.disease, confer susceptibility, susceptibility loci, 3. Good health, 14q24.1 rad51l1, TOX3, 030220 oncology & carcinogenesis, genome-wide association
Abstract: Journal article Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ~9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P < 5 × 10!¿8). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility. European Community Seventh Framework Programme - grant agreement 223175 (HEALTH-F2-2009-223175) (COGS) peer-reviewed
Published: 2013

30. 2079 Risk factors for metachronous colorectal cancer following a primary colorectal cancer: A prospective cohort study

Author: Jayasekara, H., primary, Reece, J., additional, Dashti, S.G., additional, Buchanan, D., additional, Rosty, C., additional, Macrae, F., additional, Boussioutas, A., additional, Giles, G., additional, Ahnen, D., additional, Lowery, J., additional, Casey, G., additional, Haile, R., additional, Gallinger, S., additional, Marchand, L. Le, additional, Newcomb, P., additional, Lindor, N., additional, Hopper, J., additional, Parry, S., additional, Jenkins, M., additional, and Win, A., additional
Published: 2015
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31. Ethnic Groups

Author: Kolonel, L. N., primary and Marchand, L. Le, additional
Published: 2014
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32. Increased risk of lung cancer in individuals with a family history of the disease: A pooled analysis from the International Lung Cancer Consortium.

Author: Cote, M.L., Liu, M., Bonassi, S., Neri, M., Schwartz, A.G., Christiani, D.C., Spitz, M.R., Muscat, J.E., Rennert, G., Aben, K.K.H., Andrew, A.S., Bencko, V., Bickeboller, H., Boffetta, P., Brennan, P., Brenner, H., Duell, E.J., Fabianova, E., Field, J.K., Foretova, L., Friis, S., Harris, C.C., Holcatova, I., Hong, Y.C., Isla, D., Janout, V., Kiemeney, L.A.L.M., Kiyohara, C., Lan, Q., Lazarus, P., Lissowska, J., Marchand, L. le, Mates, D., Matsuo, K., Mayordomo, J.I., McLaughlin, J.R., Morgenstern, H., Mueller, H., Orlow, I., Park, B.J., Pinchev, M., Raji, O.Y., Rennert, H.S., Rudnai, P., Seow, A., Stucker, I., Szeszenia-Dabrowska, N., Teare, M.D., Tjonnelan, A., Ugolini, D., Heijden, E. van der, Wichmann, E., Wiencke, J.K., Woll, P.J., Yang, P., Zaridze, D., Zhang, Z.F., Etzel, C.J., Hung, R.J., Cote, M.L., Liu, M., Bonassi, S., Neri, M., Schwartz, A.G., Christiani, D.C., Spitz, M.R., Muscat, J.E., Rennert, G., Aben, K.K.H., Andrew, A.S., Bencko, V., Bickeboller, H., Boffetta, P., Brennan, P., Brenner, H., Duell, E.J., Fabianova, E., Field, J.K., Foretova, L., Friis, S., Harris, C.C., Holcatova, I., Hong, Y.C., Isla, D., Janout, V., Kiemeney, L.A.L.M., Kiyohara, C., Lan, Q., Lazarus, P., Lissowska, J., Marchand, L. le, Mates, D., Matsuo, K., Mayordomo, J.I., McLaughlin, J.R., Morgenstern, H., Mueller, H., Orlow, I., Park, B.J., Pinchev, M., Raji, O.Y., Rennert, H.S., Rudnai, P., Seow, A., Stucker, I., Szeszenia-Dabrowska, N., Teare, M.D., Tjonnelan, A., Ugolini, D., Heijden, E. van der, Wichmann, E., Wiencke, J.K., Woll, P.J., Yang, P., Zaridze, D., Zhang, Z.F., Etzel, C.J., and Hung, R.J.
Abstract: 1 september 2012, Item does not contain fulltext, BACKGROUND AND METHODS: Familial aggregation of lung cancer exists after accounting for cigarette smoking. However, the extent to which family history affects risk by smoking status, histology, relative type and ethnicity is not well described. This pooled analysis included 24 case-control studies in the International Lung Cancer Consortium. Each study collected age of onset/interview, gender, race/ethnicity, cigarette smoking, histology and first-degree family history of lung cancer. Data from 24,380 lung cancer cases and 23,305 healthy controls were analysed. Unconditional logistic regression models and generalised estimating equations were used to estimate odds ratios and 95% confidence intervals. RESULTS: Individuals with a first-degree relative with lung cancer had a 1.51-fold increase in the risk of lung cancer, after adjustment for smoking and other potential confounders (95% CI: 1.39, 1.63). The association was strongest for those with a family history in a sibling, after adjustment (odds ratios (OR)=1.82, 95% CI: 1.62, 2.05). No modifying effect by histologic type was found. Never smokers showed a lower association with positive familial history of lung cancer (OR=1.25, 95% CI: 1.03, 1.52), slightly stronger for those with an affected sibling (OR=1.44, 95% CI: 1.07, 1.93), after adjustment. CONCLUSIONS: The occurrence of lung cancer among never smokers and similar magnitudes of the effect of family history on lung cancer risk across histological types suggests familial aggregation of lung cancer is independent of those risks associated with cigarette smoking. While the role of genetic variation in the aetiology of lung cancer remains to be fully characterised, family history assessment is immediately available and those with a positive history represent a higher risk group.
Published: 2012

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

Author: Broeks, A., Schmidt, M.K., Sherman, M.E., Couch, F.J., Hopper, J.L., Dite, G.S., Apicella, C., Smith, L.D., Hammet, F., Southey, M.C., Veer, L.J. van 't, Groot, R. de, Smit, V.T., Fasching, P.A., Beckmann, M.W., Jud, S., Ekici, A.B., Hartmann, A., Hein, A., Schulz-Wendtland, R., Burwinkel, B., Marme, F., Schneeweiss, A., Sinn, H.P., Sohn, C., Tchatchou, S., Bojesen, S.E., Nordestgaard, B.G., Flyger, H., Orsted, D.D., Kaur-Knudsen, D., Milne, R.L., Perez, J.I., Zamora, P., Rodriguez, P.M., Benitez, J., Brauch, H., Justenhoven, C., Ko, Y.D., Hamann, U., Fischer, H.P., Bruning, T., Pesch, B., Chang-Claude, J., Wang-Gohrke, S., Bremer, M., Karstens, J.H., Hillemanns, P., Dork, T., Nevanlinna, H.A., Heikkinen, T., Heikkila, P., Blomqvist, C., Aittomaki, K., Aaltonen, K., Lindblom, A., Margolin, S., Mannermaa, A., Kosma, V.M., Kauppinen, J.M., Kataja, V., Auvinen, P., Eskelinen, M., Soini, Y., Chenevix-Trench, G., Spurdle, A.B., Beesley, J., Chen, X., Holland, H., Lambrechts, D., Claes, B., Vandorpe, T., Neven, P., Wildiers, H., Flesch-Janys, D., Hein, R., Loning, T., Kosel, M., Fredericksen, Z.S., Wang, X., Giles, G.G., Baglietto, L., Severi, G., McLean, C., Haiman, C.A., Henderson, B.E., Marchand, L. le, Kolonel, L.N., Alnaes, G.G., Kristensen, V., Borresen-Dale, A.L., Hunter, D.J., Hankinson, S.E., Andrulis, I.L., Mulligan, A.M., O'Malley, F.P., Devilee, P., Huijts, P.E., Tollenaar, R.A.E.M., Asperen, C.J. van, Broeks, A., Schmidt, M.K., Sherman, M.E., Couch, F.J., Hopper, J.L., Dite, G.S., Apicella, C., Smith, L.D., Hammet, F., Southey, M.C., Veer, L.J. van 't, Groot, R. de, Smit, V.T., Fasching, P.A., Beckmann, M.W., Jud, S., Ekici, A.B., Hartmann, A., Hein, A., Schulz-Wendtland, R., Burwinkel, B., Marme, F., Schneeweiss, A., Sinn, H.P., Sohn, C., Tchatchou, S., Bojesen, S.E., Nordestgaard, B.G., Flyger, H., Orsted, D.D., Kaur-Knudsen, D., Milne, R.L., Perez, J.I., Zamora, P., Rodriguez, P.M., Benitez, J., Brauch, H., Justenhoven, C., Ko, Y.D., Hamann, U., Fischer, H.P., Bruning, T., Pesch, B., Chang-Claude, J., Wang-Gohrke, S., Bremer, M., Karstens, J.H., Hillemanns, P., Dork, T., Nevanlinna, H.A., Heikkinen, T., Heikkila, P., Blomqvist, C., Aittomaki, K., Aaltonen, K., Lindblom, A., Margolin, S., Mannermaa, A., Kosma, V.M., Kauppinen, J.M., Kataja, V., Auvinen, P., Eskelinen, M., Soini, Y., Chenevix-Trench, G., Spurdle, A.B., Beesley, J., Chen, X., Holland, H., Lambrechts, D., Claes, B., Vandorpe, T., Neven, P., Wildiers, H., Flesch-Janys, D., Hein, R., Loning, T., Kosel, M., Fredericksen, Z.S., Wang, X., Giles, G.G., Baglietto, L., Severi, G., McLean, C., Haiman, C.A., Henderson, B.E., Marchand, L. le, Kolonel, L.N., Alnaes, G.G., Kristensen, V., Borresen-Dale, A.L., Hunter, D.J., Hankinson, S.E., Andrulis, I.L., Mulligan, A.M., O'Malley, F.P., Devilee, P., Huijts, P.E., Tollenaar, R.A.E.M., and Asperen, C.J. van
Abstract: Contains fulltext : 96071.pdf (publisher's version ) (Closed access), Breast cancers demonstrate substantial biological, clinical and etiological heterogeneity. We investigated breast cancer risk associations of eight susceptibility loci identified in GWAS and two putative susceptibility loci in candidate genes in relation to specific breast tumor subtypes. Subtypes were defined by five markers (ER, PR, HER2, CK5/6, EGFR) and other pathological and clinical features. Analyses included up to 30 040 invasive breast cancer cases and 53 692 controls from 31 studies within the Breast Cancer Association Consortium. We confirmed previous reports of stronger associations with ER+ than ER- tumors for six of the eight loci identified in GWAS: rs2981582 (10q26) (P-heterogeneity = 6.1 x 10(-18)), rs3803662 (16q12) (P = 3.7 x 10(-5)), rs13281615 (8q24) (P = 0.002), rs13387042 (2q35) (P = 0.006), rs4973768 (3p24) (P = 0.003) and rs6504950 (17q23) (P = 0.002). The two candidate loci, CASP8 (rs1045485, rs17468277) and TGFB1 (rs1982073), were most strongly related with the risk of PR negative tumors (P = 5.1 x 10(-6) and P = 4.1 x 10(-4), respectively), as previously suggested. Four of the eight loci identified in GWAS were associated with triple negative tumors (P
Published: 2011

34. Replication of lung cancer susceptibility loci at chromosomes 15q25, 5p15, and 6p21: a pooled analysis from the International Lung Cancer Consortium.

Author: Truong, T., Hung, R.J., Amos, C.I., Wu, X., Bickeboller, H., Rosenberger, A., Sauter, W., Illig, T., Wichmann, H.E., Risch, A., Dienemann, H., Kaaks, R., Yang, P., Jiang, R., Wiencke, J.K., Wrensch, M., Hansen, H., Kelsey, K.T., Matsuo, K., Tajima, K., Schwartz, A.G., Wenzlaff, A., Seow, A., Ying, C., Staratschek-Jox, A., Nurnberg, P., Stoelben, E., Wolf, J., Lazarus, P., Muscat, J.E., Gallagher, C.J., Zienolddiny, S., Haugen, A., Heijden, E. van der, Kiemeney, L.A.L.M., Isla, D., Mayordomo, J.I., Rafnar, T., Stefansson, K., Zhang, Z.F., Chang, S.C., Kim, J.H., Hong, Y.C., Duell, E.J., Andrew, A.S., Lejbkowicz, F., Rennert, G., Muller, H., Brenner, H., Marchand, L. le, Benhamou, S., Bouchardy, C., Teare, M.D., Xue, X., McLaughlin, J., Liu, G., McKay, J.D., Brennan, P., Spitz, M.R., Truong, T., Hung, R.J., Amos, C.I., Wu, X., Bickeboller, H., Rosenberger, A., Sauter, W., Illig, T., Wichmann, H.E., Risch, A., Dienemann, H., Kaaks, R., Yang, P., Jiang, R., Wiencke, J.K., Wrensch, M., Hansen, H., Kelsey, K.T., Matsuo, K., Tajima, K., Schwartz, A.G., Wenzlaff, A., Seow, A., Ying, C., Staratschek-Jox, A., Nurnberg, P., Stoelben, E., Wolf, J., Lazarus, P., Muscat, J.E., Gallagher, C.J., Zienolddiny, S., Haugen, A., Heijden, E. van der, Kiemeney, L.A.L.M., Isla, D., Mayordomo, J.I., Rafnar, T., Stefansson, K., Zhang, Z.F., Chang, S.C., Kim, J.H., Hong, Y.C., Duell, E.J., Andrew, A.S., Lejbkowicz, F., Rennert, G., Muller, H., Brenner, H., Marchand, L. le, Benhamou, S., Bouchardy, C., Teare, M.D., Xue, X., McLaughlin, J., Liu, G., McKay, J.D., Brennan, P., and Spitz, M.R.
Abstract: Contains fulltext : 89395.pdf (publisher's version ) (Closed access), BACKGROUND: Genome-wide association studies have identified three chromosomal regions at 15q25, 5p15, and 6p21 as being associated with the risk of lung cancer. To confirm these associations in independent studies and investigate heterogeneity of these associations within specific subgroups, we conducted a coordinated genotyping study within the International Lung Cancer Consortium based on independent studies that were not included in previous genome-wide association studies. METHODS: Genotype data for single-nucleotide polymorphisms at chromosomes 15q25 (rs16969968, rs8034191), 5p15 (rs2736100, rs402710), and 6p21 (rs2256543, rs4324798) from 21 case-control studies for 11 645 lung cancer case patients and 14 954 control subjects, of whom 85% were white and 15% were Asian, were pooled. Associations between the variants and the risk of lung cancer were estimated by logistic regression models. All statistical tests were two-sided. RESULTS: Associations between 15q25 and the risk of lung cancer were replicated in white ever-smokers (rs16969968: odds ratio [OR] = 1.26, 95% confidence interval [CI] = 1.21 to 1.32, P(trend) = 2 x 10(-26)), and this association was stronger for those diagnosed at younger ages. There was no association in never-smokers or in Asians between either of the 15q25 variants and the risk of lung cancer. For the chromosome 5p15 region, we confirmed statistically significant associations in whites for both rs2736100 (OR = 1.15, 95% CI = 1.10 to 1.20, P(trend) = 1 x 10(-10)) and rs402710 (OR = 1.14, 95% CI = 1.09 to 1.19, P(trend) = 5 x 10(-8)) and identified similar associations in Asians (rs2736100: OR = 1.23, 95% CI = 1.12 to 1.35, P(trend) = 2 x 10(-5); rs402710: OR = 1.15, 95% CI = 1.04 to 1.27, P(trend) = .007). The associations between the 5p15 variants and lung cancer differed by histology; odds ratios for rs2736100 were highest in adenocarcinoma and for rs402710 were highest in adenocarcinoma and squamous cell carcinomas. This pattern was o
Published: 2010

35. Common variants on chromosome 5p12 confer susceptibility to estrogen receptor-positive breast cancer.

Author: Stacey, S.N., Manolescu, A., Sulem, P., Thorlacius, S., Gudjonsson, S.A., Jonsson, G.F., Jakobsdottir, M., Bergthorsson, J.T., Gudmundsson, J., Aben, K.K.H., Strobbe, L.J., Swinkels, D.W., Engelenburg, K.C.A. van, Henderson, B.E., Kolonel, L.N., Marchand, L. le, Millastre, E., Andres, R., Saez, B., Lambea, J., Godino, J., Polo, E., Tres, A., Picelli, S., Rantala, J., Margolin, S., Jonsson, T., Sigurdsson, H., Jonsdottir, T., Hrafnkelsson, J., Johannsson, J., Sveinsson, T., Myrdal, G., Grimsson, H.N., Sveinsdottir, S.G., Alexiusdottir, K., Saemundsdottir, J., Sigurdsson, A., Kostic, J., Gudmundsson, L., Kristjansson, K., Masson, G., Fackenthal, J.D., Adebamowo, C., Ogundiran, T., Olopade, O.I., Haiman, C.A., Lindblom, A., Mayordomo, J.I., Kiemeney, L.A.L.M., Gulcher, J.R., Rafnar, T., Thorsteinsdottir, U., Johannsson, O.T., Kong, A., Stefansson, K., Stacey, S.N., Manolescu, A., Sulem, P., Thorlacius, S., Gudjonsson, S.A., Jonsson, G.F., Jakobsdottir, M., Bergthorsson, J.T., Gudmundsson, J., Aben, K.K.H., Strobbe, L.J., Swinkels, D.W., Engelenburg, K.C.A. van, Henderson, B.E., Kolonel, L.N., Marchand, L. le, Millastre, E., Andres, R., Saez, B., Lambea, J., Godino, J., Polo, E., Tres, A., Picelli, S., Rantala, J., Margolin, S., Jonsson, T., Sigurdsson, H., Jonsdottir, T., Hrafnkelsson, J., Johannsson, J., Sveinsson, T., Myrdal, G., Grimsson, H.N., Sveinsdottir, S.G., Alexiusdottir, K., Saemundsdottir, J., Sigurdsson, A., Kostic, J., Gudmundsson, L., Kristjansson, K., Masson, G., Fackenthal, J.D., Adebamowo, C., Ogundiran, T., Olopade, O.I., Haiman, C.A., Lindblom, A., Mayordomo, J.I., Kiemeney, L.A.L.M., Gulcher, J.R., Rafnar, T., Thorsteinsdottir, U., Johannsson, O.T., Kong, A., and Stefansson, K.
Abstract: Contains fulltext : 70749.pdf (publisher's version ) (Closed access), We carried out a genome-wide association study of breast cancer predisposition with replication and refinement studies involving 6,145 cases and 33,016 controls and identified two SNPs (rs4415084 and rs10941679) on 5p12 that confer risk, preferentially for estrogen receptor (ER)-positive tumors (OR = 1.27, P = 2.5 x 10(-12) for rs10941679). The nearest gene, MRPS30, was previously implicated in apoptosis, ER-positive tumors and favorable prognosis. A recently reported signal in FGFR2 was also found to associate specifically with ER-positive breast cancer.
Published: 2008

36. Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics

Author: Garcia-Closas, M., Hall, P., Nevanlinna, H., Pooley, K., Morrison, J., Richesson, D.A., Bojesen, S.E., Axelsson, C.K., Arias, J.I., Milne, R.L., Ribas, G., Gonzalez-Neira, A., Benitez, J., Zamora, P., Brauch, H., Justenhoven, C., Hamann, U., Ko, Y.D., Bruening, T., Haas, S., Dork, T., Schurmann, P., Hillemanns, P., Bogdanova, N., Bremer, M., Karstens, J.H., Fagerholm, R., Aaltonen, K., Aittomaki, K., Smitten, K. Von, Blomqvist, C., Mannermaa, A., Uusitupa, M., Eskelinen, M., Tengstrom, M., Kosma, V.M., Kataja, V., Chenevix-Trench, G., Spurdle, A.B., Beesley, J., Chen, X., Devilee, P., Asperen, C.J. Van, Jacobi, C.E., Tollenaar, R.A.E.M., Huijts, P.E.A., Klijn, J.G.M., Chang-Claude, J., Kropp, S., Slanger, T., Flesch-Janys, D., Mutschelknauss, E., Salazar, R., Wang-Gohrke, S., Couch, F., Goode, E.L., Olson, J.E., Vachon, C., Fredericksen, Z.S., Giles, G.G., Baglietto, L., Severi, G., Hopper, J.L., English, D.R., Southey, M.C., Haiman, C.A., Henderson, B.E., Kolonel, L.N., Marchand, L. Le, Stram, D.O., Hunter, D.J., Hankinson, S.E., Cox, D.G., Tamimi, R., Kraft, P., Sherman, M.E., Chanock, S.J., Lissowska, J., Brinton, L.A., Peplonska, B., Hooning, M.J., Meijers-Heijboer, H., Collee, J.M., Ouweland, A. Van den, Uitterlinden, A.G., Liu, J., Lin, L.Y., Yuqing, L., Humphreys, K., Czene, K., Cox, A., Balasubramanian, S.P., Cross, S.S., Reed, M.W.R., Blows, F., Driver, K., Dunning, A., Tyrer, J., Ponder, B.A.J., Sangrajrang, S., Brennan, P., Mckay, J., Odefrey, F., Gabrieau, V., Sigurdson, A., Doody, M., Struewing, J.P., Alexander, B., Easton, D.F., Pharoah, P.D., Nordestgaard, Børge, Garcia-Closas, M., Hall, P., Nevanlinna, H., Pooley, K., Morrison, J., Richesson, D.A., Bojesen, S.E., Axelsson, C.K., Arias, J.I., Milne, R.L., Ribas, G., Gonzalez-Neira, A., Benitez, J., Zamora, P., Brauch, H., Justenhoven, C., Hamann, U., Ko, Y.D., Bruening, T., Haas, S., Dork, T., Schurmann, P., Hillemanns, P., Bogdanova, N., Bremer, M., Karstens, J.H., Fagerholm, R., Aaltonen, K., Aittomaki, K., Smitten, K. Von, Blomqvist, C., Mannermaa, A., Uusitupa, M., Eskelinen, M., Tengstrom, M., Kosma, V.M., Kataja, V., Chenevix-Trench, G., Spurdle, A.B., Beesley, J., Chen, X., Devilee, P., Asperen, C.J. Van, Jacobi, C.E., Tollenaar, R.A.E.M., Huijts, P.E.A., Klijn, J.G.M., Chang-Claude, J., Kropp, S., Slanger, T., Flesch-Janys, D., Mutschelknauss, E., Salazar, R., Wang-Gohrke, S., Couch, F., Goode, E.L., Olson, J.E., Vachon, C., Fredericksen, Z.S., Giles, G.G., Baglietto, L., Severi, G., Hopper, J.L., English, D.R., Southey, M.C., Haiman, C.A., Henderson, B.E., Kolonel, L.N., Marchand, L. Le, Stram, D.O., Hunter, D.J., Hankinson, S.E., Cox, D.G., Tamimi, R., Kraft, P., Sherman, M.E., Chanock, S.J., Lissowska, J., Brinton, L.A., Peplonska, B., Hooning, M.J., Meijers-Heijboer, H., Collee, J.M., Ouweland, A. Van den, Uitterlinden, A.G., Liu, J., Lin, L.Y., Yuqing, L., Humphreys, K., Czene, K., Cox, A., Balasubramanian, S.P., Cross, S.S., Reed, M.W.R., Blows, F., Driver, K., Dunning, A., Tyrer, J., Ponder, B.A.J., Sangrajrang, S., Brennan, P., Mckay, J., Odefrey, F., Gabrieau, V., Sigurdson, A., Doody, M., Struewing, J.P., Alexander, B., Easton, D.F., Pharoah, P.D., and Nordestgaard, Børge
Abstract: A three-stage genome-wide association study recently identified single nucleotide polymorphisms ( SNPs) in five loci ( fibroblast growth receptor 2 ( FGFR2), trinucleotide repeat containing 9 ( TNRC9), mitogen-activated protein kinase 3 K1 (MAP3K1), 8q24, and lymphocyte- specific protein 1 ( LSP1)) associated with breast cancer risk. We investigated whether the associations between these SNPs and breast cancer risk varied by clinically important tumor characteristics in up to 23,039 invasive breast cancer cases and 26,273 controls from 20 studies. We also evaluated their influence on overall survival in 13,527 cases from 13 studies. All participants were of European or Asian origin. rs2981582 in FGFR2 was more strongly related to ER- positive ( per- allele OR ( 95%CI) = 1.31 (1.27-1.36)) than ER- negative (1.08 (1.03- 1.14)) disease ( P for heterogeneity = 10-(13)). This SNP was also more strongly related to PR-positive, low grade and node positive tumors (P = 10(-5), 10(-8), 0.013, respectively). The association for rs13281615 in 8q24 was stronger for ER- positive, PR-positive, and low grade tumors (P = 0.001, 0.011 and 10(-4), respectively). The differences in the associations between SNPs in FGFR2 and 8q24 and risk by ER and grade remained significant after permutation adjustment for multiple comparisons and after adjustment for other tumor characteristics. Three SNPs ( rs2981582, rs3803662, and rs889312) showed weak but significant associations with ER- negative disease, the strongest association being for rs3803662 in TNRC9 ( 1.14 ( 1.09-1.21)). rs13281615 in 8q24 was associated with an improvement in survival after diagnosis ( per- allele HR = 0.90 (0.83-0.97). The association was attenuated and non-significant after adjusting for known prognostic factors. Our findings show that common genetic variants influence the pathological subtype of breast cancer and provide further support for the hypothesis that ER- positive and ER- negative disease are biologically d
Published: 2008

37. Common variants on chromosomes 2q35 and 16q12 confer susceptibility to estrogen receptor-positive breast cancer.

Author: Stacey, S.N., Manolescu, A., Sulem, P., Rafnar, T., Gudmundsson, J., Gudjonsson, S.A., Masson, G., Jakobsdottir, M., Thorlacius, S., Helgason, A., Aben, K.K.H., Strobbe, L.J., Albers-Akkers, M.T., Swinkels, D.W., Henderson, B.E., Kolonel, L.N., Marchand, L. le, Millastre, E., Andres, R., Godino, J., Garcia-Prats, M.D., Polo, E., Tres, A., Mouy, M., Saemundsdottir, J., Backman, V.M., Gudmundsson, L., Kristjansson, K., Bergthorsson, J.T., Kostic, J., Frigge, M.L., Geller, F., Gudbjartsson, D.F., Sigurdsson, H., Jonsdottir, T., Hrafnkelsson, J., Johannsson, J., Sveinsson, T., Myrdal, G., Grimsson, H.N., Jonsson, T., Holst, S. von, Werelius, B., Margolin, S., Lindblom, A., Mayordomo, J.I., Haiman, C.A., Kiemeney, L.A.L.M., Johannsson, O.T., Gulcher, J.R., Thorsteinsdottir, U., Kong, A., Stefansson, K., Stacey, S.N., Manolescu, A., Sulem, P., Rafnar, T., Gudmundsson, J., Gudjonsson, S.A., Masson, G., Jakobsdottir, M., Thorlacius, S., Helgason, A., Aben, K.K.H., Strobbe, L.J., Albers-Akkers, M.T., Swinkels, D.W., Henderson, B.E., Kolonel, L.N., Marchand, L. le, Millastre, E., Andres, R., Godino, J., Garcia-Prats, M.D., Polo, E., Tres, A., Mouy, M., Saemundsdottir, J., Backman, V.M., Gudmundsson, L., Kristjansson, K., Bergthorsson, J.T., Kostic, J., Frigge, M.L., Geller, F., Gudbjartsson, D.F., Sigurdsson, H., Jonsdottir, T., Hrafnkelsson, J., Johannsson, J., Sveinsson, T., Myrdal, G., Grimsson, H.N., Jonsson, T., Holst, S. von, Werelius, B., Margolin, S., Lindblom, A., Mayordomo, J.I., Haiman, C.A., Kiemeney, L.A.L.M., Johannsson, O.T., Gulcher, J.R., Thorsteinsdottir, U., Kong, A., and Stefansson, K.
Abstract: Contains fulltext : 52079.pdf (publisher's version ) (Closed access), Familial clustering studies indicate that breast cancer risk has a substantial genetic component. To identify new breast cancer risk variants, we genotyped approximately 300,000 SNPs in 1,600 Icelandic individuals with breast cancer and 11,563 controls using the Illumina Hap300 platform. We then tested selected SNPs in five replication sample sets. Overall, we studied 4,554 affected individuals and 17,577 controls. Two SNPs consistently associated with breast cancer: approximately 25% of individuals of European descent are homozygous for allele A of rs13387042 on chromosome 2q35 and have an estimated 1.44-fold greater risk than noncarriers, and for allele T of rs3803662 on 16q12, about 7% are homozygous and have a 1.64-fold greater risk. Risk from both alleles was confined to estrogen receptor-positive tumors. At present, no genes have been identified in the linkage disequilibrium block containing rs13387042. rs3803662 is near the 5' end of TNRC9 , a high mobility group chromatin-associated protein whose expression is implicated in breast cancer metastasis to bone.
Published: 2007

38. Association of metabolic gene polymorphisms with tobacco consumption in healthy controls.

Author: Smits, K.M., Benhamou, S., Garte, S., Weijenberg, M.P., Alamanos, Y., Ambrosone, C., Autrup, H., Autrup, J.L., Baranova, H., Bathum, L., Boffetta, P., Bouchardy, C., Brockmoller, J., Butkiewicz, D., Cascorbi, I., Clapper, M.L., Coutelle, C., Daly, A., Muzi, G., Dolzan, V., Duzhak, T.G., Farker, K., Golka, K., Haugen, A., Hein, D.W., Hildesheim, A., Hirvonen, A., Hsieh, L.L., Ingelman-Sundberg, M., Kalina, I., Kang, D., Katoh, T., Kihara, M., Ono-Kihara, M., Kim, H.L., Kiyohara, C., Kremers, P., Lazarus, P., Marchand, L. le, Lechner, M.C., London, S., Manni, J.J., Maugard, C.M., Morgan, G.J., Morita, S., Nazar-Stewart, V., Kristensen, V.N., Oda, Y., Parl, F.F., Peters, W.H.M., Rannug, A., Rebbeck, T.R., Pinto, L.F., Risch, A., Romkes, M., Salagovic, J., Schoket, B., Seidegard, J., Shields, P.G., Sim, E., Sinnett, D., Strange, R.C., Stucker, I., Sugimura, H., To-Figueras, J., Vineis, P., Yu, M.C., Zheng, W., Pedotti, P., Taioli, E., Smits, K.M., Benhamou, S., Garte, S., Weijenberg, M.P., Alamanos, Y., Ambrosone, C., Autrup, H., Autrup, J.L., Baranova, H., Bathum, L., Boffetta, P., Bouchardy, C., Brockmoller, J., Butkiewicz, D., Cascorbi, I., Clapper, M.L., Coutelle, C., Daly, A., Muzi, G., Dolzan, V., Duzhak, T.G., Farker, K., Golka, K., Haugen, A., Hein, D.W., Hildesheim, A., Hirvonen, A., Hsieh, L.L., Ingelman-Sundberg, M., Kalina, I., Kang, D., Katoh, T., Kihara, M., Ono-Kihara, M., Kim, H.L., Kiyohara, C., Kremers, P., Lazarus, P., Marchand, L. le, Lechner, M.C., London, S., Manni, J.J., Maugard, C.M., Morgan, G.J., Morita, S., Nazar-Stewart, V., Kristensen, V.N., Oda, Y., Parl, F.F., Peters, W.H.M., Rannug, A., Rebbeck, T.R., Pinto, L.F., Risch, A., Romkes, M., Salagovic, J., Schoket, B., Seidegard, J., Shields, P.G., Sim, E., Sinnett, D., Strange, R.C., Stucker, I., Sugimura, H., To-Figueras, J., Vineis, P., Yu, M.C., Zheng, W., Pedotti, P., and Taioli, E.
Abstract: Contains fulltext : 58545.pdf (publisher's version ) (Closed access), Polymorphisms in genes that encode for metabolic enzymes have been associated with variations in enzyme activity between individuals. Such variations could be associated with differences in individual exposure to carcinogens that are metabolized by these genes. In this study, we examine the association between polymorphisms in several metabolic genes and the consumption of tobacco in a large sample of healthy individuals. The database of the International Collaborative Study on Genetic Susceptibility to Environmental Carcinogens was used. All the individuals who were controls from the case-control studies included in the data set with information on smoking habits and on genetic polymorphisms were selected (n = 20938). Sufficient information was available on the following genes that are involved in the metabolism of tobacco smoke constituents: CYP1A1, GSTM1, GSTT1, NAT2 and GSTP1. None of the tested genes was clearly associated with smoking behavior. Information on smoking dose, available for a subset of subjects, showed no effect of metabolic gene polymorphisms on the amount of smoking. No association between polymorphisms in the genes studied and tobacco consumption was observed; therefore, no effect of these genes on smoking behavior should be expected.
Published: 2004

39. Metabolic gene polymorphism frequencies in control populations.

Author: Garte, S., Gaspari, L., Alexandrie, A.K., Ambrosone, C., Autrup, H., Autrup, J.L., Baranova, H., Bathum, L., Benhamou, S., Boffetta, P., Bouchardy, C., Breskvar, K., Brockmoller, J., Cascorbi, I., Clapper, M.L., Coutelle, C., Daly, A., Dell'Omo, M., Dolzan, V., Dresler, C.M., Fryer, A., Haugen, A., Hein, D.W., Hildesheim, A., Hirvonen, A., Hsieh, L.L., Ingelman-Sundberg, M., Kalina, I., Kang, D., Kihara, M., Kiyohara, C., Kremers, P., Lazarus, P., Marchand, L. le, Lechner, M.C., Lieshout, E.M.M. van, London, S., Manni, J.J., Maugard, C.M., Morita, S., Nazar-Stewart, V., Noda, K., Oda, Y., Parl, F.F., Pastorelli, R., Persson, I., Peters, W.H.M., Rannug, A., Rebbeck, T.R., Risch, A., Roelandt, L., Romkes, M., Ryberg, D., Salagovic, J., Schoket, B., Seidegard, J., Shields, P.G., Sim, E., Sinnet, D., Strange, R.C., Stucker, I., Sugimura, H., To-Figueras, J., Vineis, P., Yu, M.C., Taioli, E., Garte, S., Gaspari, L., Alexandrie, A.K., Ambrosone, C., Autrup, H., Autrup, J.L., Baranova, H., Bathum, L., Benhamou, S., Boffetta, P., Bouchardy, C., Breskvar, K., Brockmoller, J., Cascorbi, I., Clapper, M.L., Coutelle, C., Daly, A., Dell'Omo, M., Dolzan, V., Dresler, C.M., Fryer, A., Haugen, A., Hein, D.W., Hildesheim, A., Hirvonen, A., Hsieh, L.L., Ingelman-Sundberg, M., Kalina, I., Kang, D., Kihara, M., Kiyohara, C., Kremers, P., Lazarus, P., Marchand, L. le, Lechner, M.C., Lieshout, E.M.M. van, London, S., Manni, J.J., Maugard, C.M., Morita, S., Nazar-Stewart, V., Noda, K., Oda, Y., Parl, F.F., Pastorelli, R., Persson, I., Peters, W.H.M., Rannug, A., Rebbeck, T.R., Risch, A., Roelandt, L., Romkes, M., Ryberg, D., Salagovic, J., Schoket, B., Seidegard, J., Shields, P.G., Sim, E., Sinnet, D., Strange, R.C., Stucker, I., Sugimura, H., To-Figueras, J., Vineis, P., Yu, M.C., and Taioli, E.
Abstract: Item does not contain fulltext, Using the International Project on Genetic Susceptibility to Environmental Carcinogens (GSEC) database containing information on over 15,000 control (noncancer) subjects, the allele and genotype frequencies for many of the more commonly studied metabolic genes (CYP1A1, CYP2E1, CYP2D6, GSTM1, GSTT1, NAT2, GSTP, and EPHX) in the human population were determined. Major and significant differences in these frequencies were observed between Caucasians (n = 12,525), Asians (n = 2,136), and Africans and African Americans (n = 996), and some, but much less, heterogeneity was observed within Caucasian populations from different countries. No differences in allele frequencies were seen by age, sex, or type of controls (hospital patients versus population controls). No examples of linkage disequilibrium between the different loci were detected based on comparison of observed and expected frequencies for combinations of specific alleles.
Published: 2001

40. Age and gender differences in the association between MPO 463>A and lung cancer. Results from the genetic susceptibility to environmental carcinogens pooled analysis

Author: Frullanti, E., primary, Forti, S., additional, Raimondi, S., additional, Benhamou, S., additional, Cascorbi, I., additional, Marchand, L. Le, additional, London, S.J., additional, Risch, A., additional, Spitz, M.R., additional, Stucker, I., additional, Yang, P., additional, and Taioli, E., additional
Published: 2006
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41. Meta- and Pooled Analyses of the Methylenetetrahydrofolate Reductase (MTHFR) C677T Polymorphism and Colorectal Cancer: A HuGE-GSEC Review.

Author: Taioli, E., Garza, M. A., Ahn, Y. O., Bishop, D. T., Bost, J., Budai, B., Chen, K., Gemignani, F., Keku, T., Lima, C. S. P., Marchand, L. Le, Matsuo, K., Moreno, V., Plaschke, J., Pufulete, M., Thomas, S. B., Toffoli, G., Wolf, C. R., Moore, C. G., and Little, J.
Subjects: EPIDEMIOLOGY, FOLIC acid, GENETICS, COLON cancer, METHYLENETETRAHYDROFOLATE reductase, GENES, CONFIDENCE intervals
Abstract: Worldwide, over 1 million cases of colorectal cancer (CRC) were reported in 2002, with a 50% mortality rate, making CRC the second most common cancer in adults. Certain racial/ethnic populations continue to experience a disproportionate burden of CRC. A common polymorphism in the 5,10-methylenetetrahydrofolate reductase (MTHFR) gene has been associated with a lower risk of CRC. The authors performed both a meta-analysis (29 studies; 11,936 cases, 18,714 controls) and a pooled analysis (14 studies; 5,068 cases, 7,876 controls) of the C677T MTHFR polymorphism and CRC, with stratification by racial/ethnic population and behavioral risk factors. There were few studies on different racial/ethnic populations. The overall meta-analysis odds ratio for CRC for persons with the TT genotype was 0.83 (95% confidence interval (CI): 0.77, 0.90). An inverse association was observed in whites (odds ratio = 0.83, 95% CI: 0.74, 0.94) and Asians (odds ratio = 0.80, 95% CI: 0.67, 0.96) but not in Latinos or blacks. Similar results were observed for Asians, Latinos, and blacks in the pooled analysis. The inverse association between the MTHFR 677TT polymorphism and CRC was not significantly modified by smoking status or body mass index; however, it was present in regular alcohol users only. The MTHFR 677TT polymorphism seems to be associated with a reduced risk of CRC, but this may not hold true for all populations. [ABSTRACT FROM PUBLISHER]
Published: 2009
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42. Relationship of Smoking to Other Life-Style Factors Among Several Ethnic Groups in Hawaii.

Author: Marchand, L Le, Ntilivamunda, A, Kolonel, LN, Vanderford, MK, and Lee, J
Abstract: Associations between smoking status and selected life-style characteristics (food and beverage consumption, alcohol use, weight, height, obesity, education and Income) were examined among the five main ethnic groups in Hawaii (Caucasians, Japanese, Hawaiians, Filipinos and Chinese) in a sample of 18, 632 male and 19, 031 female adults who were interviewed from 1975 to 1980. Mean values for each personal characteristic, adjusted for age and ethnicity by analysis of covariance, were compared in each sex among non-, ex-and current smokers. Linear relationships with extent of smoking were also sought. Significant findings from these analyses included: an increasing use of alcohol and coffee from non-to ex-to current smokers; a greater consumption of meat and eggs and a lower consumption of fresh fruits and raw vegetables by current than by ex-and non-smokers; higher intakes of protein and cholesterol by smokers; and less obesity among smokers than non-smokers (females only). These results were consistent across ethnic groups. They were also in agreement with those obtained among Caucasians in the US and Europe, suggesting that the dietary preferences of smokers do not reflect cultural influences but rather universal personality traits or biological needs. [ABSTRACT FROM PUBLISHER]
Published: 1988
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43. Association of metabolic gene polymorphisms with alcohol consumption in controls

Author: Raimondi, S., Benhamou, S., Coutelle, C., Garte, S., Hayes, R., Kiemeney, L., Lazarus, P., Marchand, L. Le, Morita, S., Povey, A., Romkes, M., Zijno, A., and Taioli, E.
Abstract: The objectives were to study the association between metabolic genes involved in alcohol metabolism (CYP2E1 RsaI, CYP2E1 DraI, ADH1C, NQO1) and alcohol consumption in a large sample of healthy controls. Healthy subjects were selected from the International Collaborative Study on Genetic Susceptibility to Environmental Carcinogens (GSEC). Subjects with information on both alcohol consumption and at least one of the studied polymorphisms were included in the analysis (n=2224). Information on the amount of alcohol consumption was available for a subset of subjects (n=844). None of the studied genes was significantly associated with drinking habits. A significant heterogeneity with age was observed when studying the association between CYP2E1 RsaIand alcohol drinking. CYP2E1 RsaIpolymorphism was significantly associated with being a never drinker at older ages (odds ratio [OR] 2.4, 95% confidence interval [CI] 1.2–4.8; at ages above 68 years), while the association was reversed at ages below 47 years (OR 0.5, 95% CI 0.2–1.4). For subjects with detailed information on alcohol intake, no association between alcohol quantity and polymorphisms in metabolic genes was observed; subjects carrying the NQO1polymorphism tended to drink more than subjects carrying the wild-type alleles. Therefore, no significant association between CYP2E1 RsaI, CYP2E1 DraI, ADH1C, NQO1polymorphisms and alcohol consumption was observed in healthy controls.
Published: 1955
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44. FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium.

Author: Agarwal D, Pineda S, Michailidou K, Herranz J, Pita G, Moreno LT, Alonso MR, Dennis J, Wang Q, Bolla MK, Meyer KB, Menéndez-Rodríguez P, Hardisson D, Mendiola M, González-Neira A, Lindblom A, Margolin S, Swerdlow A, Ashworth A, Orr N, Jones M, Matsuo K, Ito H, Iwata H, Kondo N, Hartman M, Hui M, Lim WY, Iau PT, Sawyer E, Tomlinson I, Kerin M, Miller N, Kang D, Choi J-, Park SK, Noh D-, Hopper JL, Schmidt DF, Makalic E, Southey MC, Teo SH, Yip CH, Sivanandan K, Tay W-, Brauch H, Brüning T, Hamann U, Dunning AM, Shah M, Andrulis IL, Knight JA, Glendon G, Tchatchou S, Schmidt MK, Broeks A, Rosenberg EH, van't Veer LJ, Fasching PA, Renner SP, Ekici AB, Beckmann MW, Shen C-, Hsiung C-, Yu J-, Hou M-, Blot W, Cai Q, Wu AH, Tseng C-, Van Den Berg D, Stram DO, Cox A, Brock IW, Reed MW, Muir K, Lophatananon A, Stewart-Brown S, Siriwanarangsan P, Zheng W, Deming-Halverson S, Shrubsole MJ, Long J, Shu X-, Lu W, Gao Y-, Zhang B, Radice P, Peterlongo P, Manoukian S, Mariette F, Sangrajrang S, McKay J, Couch FJ, Toland AE, Yannoukakos D, Fletcher O, Johnson N, dos Santos Silva I, Peto J, Marme F, Burwinkel B, Guénel P, Truong T, Sanchez M, Mulot C, Bojesen SE, Nordestgaard BG, Flyer H, Brenner H, Dieffenbach AK, Arndt V, Stegmaier C, Mannermaa A, Kataja V, Kosma V-, Hartikainen JM, Lambrechts D, Yesilyurt BT, Floris G, Leunen K, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Wang X, Olson JE, Vachon C, Purrington K, Giles GG, Severi G, Baglietto L, Haiman CA, Henderson BE, Schumacher F, Marchand LL, Simard J, Dumont M, Goldberg MS, Labréche F, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Devilee P, Tollenaar RA, Seynaeve C, García-Closas M, Chanock SJ, Lissowska J, Figueroa JD, Czene K, Eriksson M, Humphreys K, Darabi H, Hooning MJ, Kriege M, Collée JM, Tilanus-Linthorst M, Li J, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Bogdanova N, Dörk T, Hall P, Chenevix-Trench G, Easton DF, Pharroah PD, Arias-Perez JI, Zamora P, Benítez J, and Milne RL
Subjects: Case-Control Studies, Female, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide genetics, Receptor, Fibroblast Growth Factor, Type 1 genetics, Receptor, Fibroblast Growth Factor, Type 3 genetics, Receptor, Fibroblast Growth Factor, Type 4 genetics, Receptor, Fibroblast Growth Factor, Type 5 genetics, Breast Neoplasms genetics, Genetic Predisposition to Disease, Receptor, Fibroblast Growth Factor, Type 2 genetics
Abstract: Background: Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium., Methods: Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression., Results: Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval=1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2., Conclusion: Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2.
Published: 2014
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