361 results on '"Sand, S"'
Search Results
2. A comparison of several methodologies of selection index for productive and reproductive characteristics in Egyptian buffaloes
- Author
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Khattab, A.S., Peters, S.O., Adenaike, A.S., Amal El–Sawy, A., Safa Sand, S., El-Barbary, A.S., and Thiruvenkadan, A.K.
- Published
- 2023
- Full Text
- View/download PDF
3. CEC03-05: Guidance on Uncertainty Analysis Including Quantitative Methods of Relevance for a NAM-based Chemical Risk Assessment
- Author
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Sand, S., primary
- Published
- 2023
- Full Text
- View/download PDF
4. A KRAS variant is a biomarker of poor outcome, platinum chemotherapy resistance and a potential target for therapy in ovarian cancer
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Ratner, ES, Keane, FK, Lindner, R, Tassi, RA, Paranjape, T, Glasgow, M, Nallur, S, Deng, Y, Lu, L, Steele, L, Sand, S, Muller, R-U, Bignotti, E, Bellone, S, Boeke, M, Yao, X, Pecorelli, S, Ravaggi, A, Katsaros, D, Zelterman, D, Cristea, MC, Yu, H, Rutherford, TJ, Weitzel, JN, Neuhausen, SL, Schwartz, PE, Slack, FJ, Santin, AD, and Weidhaas, JB
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Ovarian Cancer ,Genetics ,Rare Diseases ,Clinical Research ,Cancer ,2.1 Biological and endogenous factors ,Aetiology ,3' Untranslated Regions ,Aged ,Antineoplastic Combined Chemotherapy Protocols ,BRCA1 Protein ,BRCA2 Protein ,Biomarkers ,Tumor ,Carboplatin ,Cell Line ,Tumor ,Cell Survival ,Drug Resistance ,Neoplasm ,Female ,Genotype ,Humans ,Kaplan-Meier Estimate ,Middle Aged ,Multivariate Analysis ,Mutation ,Neoplasms ,Glandular and Epithelial ,Ovarian Neoplasms ,Paclitaxel ,Polymorphism ,Single Nucleotide ,Prognosis ,Proto-Oncogene Proteins ,Proto-Oncogene Proteins p21(ras) ,RNA Interference ,Treatment Outcome ,ras Proteins ,platinum resistance ,KRAS variant ,ovarian cancer ,outcome ,Clinical Sciences ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
Germline variants in the 3' untranslated region (3'UTR) of cancer genes disrupting microRNA (miRNA) regulation have recently been associated with cancer risk. A variant in the 3'UTR of the KRAS oncogene, referred to as the KRAS variant, is associated with both cancer risk and altered tumor biology. Here, we test the hypothesis that the KRAS variant can act as a biomarker of outcome in epithelial ovarian cancer (EOC), and investigate the cause of altered outcome in KRAS variant-positive EOC patients. As this variant seems to be associated with tumor biology, we additionally test the hypothesis that this variant can be directly targeted to impact cell survival. EOC patients with complete clinical data were genotyped for the KRAS variant and analyzed for outcome (n=536), response to neoadjuvant chemotherapy (n=125) and platinum resistance (n=306). Outcome was separately analyzed for women with known BRCA mutations (n=79). Gene expression was analyzed on a subset of tumors with available tissue. Cell lines were used to confirm altered sensitivity to chemotherapy associated with the KRAS variant. Finally, the KRAS variant was directly targeted through small-interfering RNA/miRNA oligonucleotides in cell lines and survival was measured. Postmenopausal EOC patients with the KRAS variant were significantly more likely to die of ovarian cancer by multivariate analysis (hazard ratio=1.67, 95% confidence interval: 1.09-2.57, P=0.019, n=279). Perhaps explaining this finding, EOC patients with the KRAS variant were significantly more likely to be platinum resistant (odds ratio=3.18, confidence interval: 1.31-7.72, P=0.0106, n=291). In addition, direct targeting of the KRAS variant led to a significant reduction in EOC cell growth and survival in vitro. These findings confirm the importance of the KRAS variant in EOC, and indicate that the KRAS variant is a biomarker of poor outcome in EOC likely due to platinum resistance. In addition, this study supports the hypothesis that these tumors have continued dependence on such 3'UTR lesions, and that direct targeting may be a viable future treatment approach.
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- 2012
5. Risks for human health related to the presence of grayanotoxins in certain honey
- Author
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Schrenk, D., Bignami, M., Bodin, L., Chipman, J.K., Del Mazo, J., Grasl-Kraupp, B., Hogstrand, C., Hoogenboom, L.R., Leblanc, J., Nebbia, C.S., Nielsen, E., Ntzani, E., Petersen, A., Sand, S., Schwerdtle, T., Vleminckx, C., Dusemund, B., Hart, A., Mulder, P., Viviani, B., Anastassiadou, M., Cascio, C., Riolo, F., and Wallace, H.
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grayananes ,Settore BIO/14 - Farmacologia ,Rhododendron honey ,Ericaceae ,grayanotoxins - Published
- 2023
6. Iterative Channel Estimation for MIMO MC-CDMA
- Author
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Sand, S., Raulefs, R., Dammann, A., Fazel, Khaled, editor, and Kaiser, Stefan, editor
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- 2006
- Full Text
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7. On Pilot-Symbol Aided Channel Estimation for MC-CDMA in the Presence of Cellular Interference
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Auer, G., Dammann, A., Sand, S., Kaiser, S., Fazel, Khaled, editor, and Kaiser, Stefan, editor
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- 2004
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8. Inorganic arsenic in rice and rice products on the Swedish market 2015 Part 2: Risk assessment
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Sand, S, primary, Concha, G, additional, Öhrvik, V, additional, and Abramsson, L, additional
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- 2016
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9. MULTISOURCE DATA INTEGRATION FOR GEORGIA LAND-COVER MAPPING
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Payne, K., Samples, K., Epstein, J., Ostrander, A., Lee, J. W., Schmidt, J. P., Mathes, S., Elliott, M., Nackone, J., Sand, S., Hay, F., Merrill, M., Golbali, M., Higgens, M., Howell, J., and Kramer, L.
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- 2003
10. Report from the Working Group on Breaking and Freak Waves
- Author
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Peregrine, D. H., Sand, S., Tørum, A., editor, and Gudmestad, O. T., editor
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- 1990
- Full Text
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11. Nocturnal foraging lifts time constraints in winter for migratory geese but hardly speeds up fueling
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Lameris, T. K. (Thomas K), Dokter, A. M. (Adriaan M), van der Jeugd, H. P. (Henk P), Bouten, W. (Willem), Koster, J. (Jasper), Sand, S. H. (Stefan H H), Westerduin, C. (Coen), Nolet, B. A. (Bart A), Lameris, T. K. (Thomas K), Dokter, A. M. (Adriaan M), van der Jeugd, H. P. (Henk P), Bouten, W. (Willem), Koster, J. (Jasper), Sand, S. H. (Stefan H H), Westerduin, C. (Coen), and Nolet, B. A. (Bart A)
- Abstract
Climate warming advances the optimal timing of breeding for many animals. For migrants to start breeding earlier, a concurrent advancement of migration is required, including premigratory fueling of energy reserves. We investigate whether barnacle geese are time constrained during premigratory fueling and whether there is potential to advance or shorten the fueling period to allow an earlier migratory departure. We equipped barnacle geese with GPS trackers and accelerometers to remotely record birds’ behavior, from which we calculated time budgets. We examined how time spent foraging was affected by the available time (during daylight and moonlit nights) and thermoregulation costs. We used an energetic model to assess onset and rates of fueling and whether geese can further advance fueling by extending foraging time. We show that, during winter, when facing higher thermoregulation costs, geese consistently foraged at night, especially during moonlit nights, in order to balance their energy budgets. In spring, birds made use of the increasing day length and gained body stores by foraging longer during the day, but birds stopped foraging extensively during the night. Our model indicates that, by continuing nighttime foraging throughout spring, geese may have some leeway to advance and increase fueling rate, potentially reaching departure body mass 4 days earlier. In light of rapid climatic changes on the breeding grounds, whether this advancement can be realized and whether it will be sufficient to prevent phenological mismatches remains to be determined.
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- 2021
12. First description of adenovirus, enterovirus, rotavirus and torque teno virus in water samples collected from the Arroio Diluvio, Porto Alegre, Brazil/Primeira descricao de adenovirus, enterovirus, rotavirus e torque teno virus em amostras de agua coletadas do Arroio Diluvio, Porto Alegre, Brasil
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Vecchia, A.D., Fleck, J.D., Comerlato, J., Kluge, M., Bergamaschi, B., Da Silva, J.V.S., Da Luz, R.B., Teixeira, T.F., Garbinatto, G.N., Oliveira, D.V., Zanin, J.G., Van der Sand, S., Frazzon, A.P.G., Franco, A.C., Roehe, P.M., and Spilki, F.R.
- Published
- 2012
13. Morphology, Physiology, and Virulence of Bipolaris sorokiniana Isolates
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Poloni, A., Pessi, I. S., Frazzon, A. P. G., and Van Der Sand, S. T.
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- 2009
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14. Vegetative Incompatibility Among Monoconidial Isolates of Bipolaris sorokiniana
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Poloni, A., Pessi, I. S., Frazzon, A. P. G., and Van Der Sand, S. T.
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- 2009
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15. Effectiveness of Laser Acupoints on Women With Polycystic Ovarian Syndrome: A Randomized Controlled Trial
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Sand S El-Kholy, Marwa M Abd El-Rahman, and Fayiz F. El-shamy
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Infertility ,medicine.medical_specialty ,endocrine system diseases ,Urology ,030209 endocrinology & metabolism ,Dermatology ,Laser Acupuncture ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Insulin resistance ,Randomized controlled trial ,law ,Internal medicine ,medicine ,Acupuncture ,Dentistry (miscellaneous) ,Orthopedics and Sports Medicine ,030219 obstetrics & reproductive medicine ,business.industry ,nutritional and metabolic diseases ,Effective management ,medicine.disease ,female genital diseases and pregnancy complications ,Nephrology ,Original Article ,Surgery ,business ,Body mass index ,Hormone - Abstract
Introduction: Polycystic ovarian syndrome (PCOS) is one of the most widely recognized reasons for infertility. The aim of this study was to examine the impact of laser acupuncture on PCOS women. Methods: Twenty-five PCOS women were randomly allocated to either the study group (SG; n=13), treated by laser acupuncture, or the control group (CG; n = 12). Blood hormonal levels and insulin resistance were measured at baseline and after 12 weeks of intervention. Results: The pre-intervention levels showed no statistically significant differences between SG and CG for baseline characteristics (P>0.05). After 12 weeks of intervention, within-group analyses showed that body mass index (BMI), blood hormonal levels, and insulin resistance were significantly decreased (P 0.05) were recorded in the 2 groups. Between-groups analyses showed that most outcomes measures were significantly decreased (P 0.05). Conclusion: Laser acupuncture can be suggested as an effective management for PCOS women.
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- 2018
16. Variants of uncertain significance in BRCA testing: evaluation of surgical decisions, risk perception, and cancer distress
- Author
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Culver, J O, Brinkerhoff, C D, Clague, J, Yang, K, Singh, K E, Sand, S R, and Weitzel, J N
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- 2013
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17. Stress measurement and rock excavation at Skaland mine, Norway
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Trinh, N, primary, Larsen, T, additional, Sand, S, additional, and Myrvang, A, additional
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- 2010
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18. Effects of a cancer genetics education programme on clinician knowledge and practice
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Blazer, K R, Grant, M, Sand, S R, MacDonald, D J, Uman, G C, and Weitzel, J N
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- 2004
19. Concerns of women presenting to a comprehensive cancer centre for genetic cancer risk assessment
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MacDonald, D J, Choi, J, Ferrell, B, Sand, S, McCaffrey, S, Blazer, K R, Grant, M, and Weitzel, J N
- Published
- 2002
20. A common approach for ranking of microbiological and chemical hazards in foods based on risk assessment - useful but is it possible?
- Author
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Lindqvist, R., primary, Langerholc, T., additional, Ranta, J., additional, Hirvonen, T., additional, and Sand, S., additional
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- 2019
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21. Inorganic arsenic in food products on the Swedish market and a risk-based intake assessment
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Kollander, B., primary, Sand, S., additional, Almerud, P., additional, Ankarberg, E. Halldin, additional, Concha, G., additional, Barregård, L., additional, and Darnerud, P.O., additional
- Published
- 2019
- Full Text
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22. A common approach for ranking of microbiological and chemical hazards in foods based on risk assessment - useful but is it possible?
- Author
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Lindqvist, R., Langerholc, T., Ranta, J., Hirvonen, T., and Sand, S.
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RISK assessment ,HAZARDS ,HAZARD Analysis & Critical Control Point (Food safety system) ,RISK exposure - Abstract
This article compares and contrasts microbial and chemical risk assessment methodologies in order to evaluate the potential for a common framework for ranking of risk of chemical and microbiological hazards, and developments needed for such a framework. An overview of microbial (MRA) and chemical (CRA) risk assessment is presented and important differences are highlighted. Two microbiological and two chemical hazard-food combinations were ranked based on both a margin of exposure and a risk assessment approach. The comparisons illustrated that it is possible to rank chemical and microbiological hazard-food combinations with traditional approaches from each domain and indicated that the rank order but not the absolute measures is similar using either approach. Including severity in the assessment using DALY reduced differences between hazards and affected the outcome more than which approach was used. Ranking frameworks should include assessment of uncertainty as an integral part of the ranking, and be based on assessment of risk, not safety, and expressed in a common health metric such as disease burden. Necessary simplifications to address data gaps can involve the use of default scenarios. Challenges include comparisons of case-based vs. non-case-based health-endpoints, e.g. biomarker concentration, and integration of the severity of health effects into ranking. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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23. Effectiveness of Laser Acupoints on Women With Polycystic Ovarian Syndrome: A Randomized Controlled Trial
- Author
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El-Shamy, Fayiz F., primary, El-kholy, Sand S., additional, and El-Rahman, Marwa M. Abd, additional
- Published
- 2018
- Full Text
- View/download PDF
24. Abstract P6-09-05: Factors associated with the uptake of risk-reducing surgeries among Hispanic women at high risk of breast and ovarian cancer
- Author
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Chavarri-Guerra, Y, primary, Yang, K, additional, Komenaka, I, additional, Brown, S, additional, Del Toro Valero, A, additional, Mora Alférez, P, additional, Duncan, P, additional, Rodríguez, Y, additional, Ganschow, P, additional, Campbell-Fontaine, A, additional, Unzeitig, G, additional, Horcasitas, D, additional, Feldman, NR, additional, Slavin, T, additional, Nehoray, B, additional, Guerrero-Llamas, N, additional, Mejia, R, additional, Sand, S, additional, Blazer, K, additional, and Weitzel, J, additional
- Published
- 2018
- Full Text
- View/download PDF
25. Detection and Localization of Non-Cooperative Road Users based on Propagation Measurements at C-Band
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Schmidhammer, M., primary, de Ponte Muller, F., additional, Sand, S., additional, and Rashdan, I., additional
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- 2018
- Full Text
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26. Influences of Train Wagon Vibrations on the mmWave Wagon-to-Wagon Channel
- Author
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Soliman, M., primary, Dawoud, Y., additional, Staudinger, E., additional, Sand, S., additional, Schuetz, A., additional, and Dekorsy, A., additional
- Published
- 2018
- Full Text
- View/download PDF
27. Israël face à son passé
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Shlaïm, A, Penslar, D, and Sand, S
- Published
- 2016
28. Food safety and toxicology: Uncertainty analysis in human risk assessment from chemical exposure
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Sahlin, U., Sand, S., Wallace, H., and Galán-Madruga, David
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- 2015
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29. Knowledge of genetic discrimination in healthcare practitioners in a large metropolitan area
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Nedulcu, R., Mantha, P., Yu, J., Sand, S., Choi, J., Schwerin, B., Blazer, K., McCaffrey, S., McDonald, D., and Weitzel, J.
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Genetic discrimination -- Surveys ,Medical personnel -- Surveys ,Genetic screening -- Surveys ,Biological sciences - Published
- 2001
30. Design and Outcomes of an Intensive Course in Cancer Risk Assessment
- Author
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Blazer, K.R., MacDonald, D.J., Choi, J., Nedelcu, R.A., Sand, S., and Weitzel, J.N.
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Human genetics -- Research ,Cancer -- Genetic aspects ,Biological sciences - Published
- 2001
31. Using Video Conferencing to Extend Genetic Cancer Risk Assessment Expertise to Community-Based Medical Centers
- Author
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Sand, S., Nedelcu, R., Grady, I., Congleton, J., Blazer, K., Choi, J., MacDonald, D., and Weitzel, J.
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Genetic research ,Videoconferencing -- Usage ,Cancer -- Research ,Distance education -- Equipment and supplies ,Genetic screening -- Services ,Second opinions (Medical care) ,Rural health services ,Biological sciences - Published
- 2001
32. Communication of Cancer Risk with Family Members and Evaluation of Duty to Inform
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Choi, J., Arbayo, C., Sand, S., Mantha, P., Blazer, K., Nedelcu, R., Grant, M., Weitzel, J., and MacDonald, D.
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Cancer -- Genetic aspects ,Human genetics -- Research ,Ovarian cancer -- Genetic aspects ,Breast cancer -- Genetic aspects ,Biological sciences - Published
- 2001
33. Outcomes from an enhanced cancer genetics education program for clinicians
- Author
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Blazer, K.R., MacDonald, D.J., Sand, S., Grant, M., and Weitzel, J.N.
- Subjects
Genetic research -- Analysis ,Human genetics -- Research ,Cancer -- Genetic aspects ,Biological sciences - Published
- 2000
34. Risk-benefit Assessment of Foods in Sweden -Developing a Working Procedure
- Author
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Eneroth, H, primary, Zetterberg, L, additional, Andersson, C, additional, Becker, W, additional, Darnerud, P, additional, Glynn, A, additional, Lindqvist, R, additional, Sand, S, additional, and Ilbäck, N, additional
- Published
- 2016
- Full Text
- View/download PDF
35. Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk
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Couch, Fergus J., Xianshu, Wang, Lesley, Mcguffog, Andrew, Lee, Curtis, Olswold, Kuchenbaecker, Karoline B., Penny, Soucy, Zachary, Fredericksen, Daniel, Barrowdale, Joe, Dennis, Gaudet, Mia M., Dicks, Ed, Matthew, Kosel, Sue, Healey, Sinilnikova, Olga M., Adam, Lee, François, Bacot, Daniel, Vincent, Hogervorst, Frans B. L., Susan, Peock, Dominique Stoppa Lyonnet, Anna, Jakubowska, Paolo, Radice, Rita Katharina Schmutzler, Domchek, S. M., Piedmonte, M., Singer, C. F., Friedman, E., Thomassen, M., Hansen, T. V. O., Neuhausen, S. L., Szabo, C. I., Blanco, I., Greene, M. H., Karlan, B. Y., Garber, J., Phelan, C. M., Weitzel, J. N., Montagna, M., Olah, E., Andrulis, I. L., Godwin, A. K., Yannoukakos, D., Goldgar, D. E., Caldes, T., Nevanlinna, H., Osorio, A., Terry, M. B., Daly, M. B., Van Rensburg, E. J., Hamann, U., Ramus, S. J., Ewart Toland, A., Caligo, M. A., Olopade, O. I., Tung, N., Claes, K., Beattie, M. S., Southey, M. C., Imyanitov, E. N., Tischkowitz, M., Janavicius, R., John, E. M., Kwong, A., Diez, O., Balmana, J., Barkardottir, R. B., Arun, B. K., Rennert, G., Teo, S. H., Ganz, P. A., Campbell, I., Van Der Hout, A. H., Van Deurzen, C. H. M., Seynaeve, C., Gomez Garcia, E. B., Van Leeuwen, F. E., Meijers Heijboer, H. E. J., Gille, J. J. P., Ausems, M. G. E. M., Blok, M. J., Ligtenberg, M. J. L., Rookus, M. A., Devilee, P., Verhoef, S., Van Os, T. A. M., Wijnen, J. T., Frost, D., Ellis, S., Fineberg, E., Platte, R., Evans, D. G., Izatt, L., Eeles, R. A., Adlard, J., Eccles, D. M., Cook, J., Brewer, C., Douglas, F., Hodgson, S., Morrison, P. J., Side, L. E., Donaldson, A., Houghton, C., Rogers, M. T., Dorkins, H., Eason, J., Gregory, H., Mccann, E., Murray, A., Calender, A., Hardouin, A., Berthet, P., Delnatte, C., Nogues, C., Lasset, C., Houdayer, C., Leroux, D., Rouleau, E., Prieur, F., Damiola, F., Sobol, H., Coupier, I., Venat Bouvet, L., Castera, L., Gauthier Villars, M., Leone, M., Pujol, P., Mazoyer, S., Bignon, Y. J., Zlowocka Perlowska, E., Gronwald, J., Lubinski, J., Durda, K., Jaworska, K., Huzarski, T., Spurdle, A. B., Viel, A., Peissel, B., Bonanni, B., Melloni, G., Ottini, Laura, Papi, L., Varesco, L., Tibiletti, M. G., Peterlongo, P., Volorio, S., Manoukian, S., Pensotti, V., Arnold, N., Engel, C., Deissler, H., Gadzicki, D., Gehrig, A., Kast, K., Rhiem, K., Meindl, A., Niederacher, D., Ditsch, N., Plendl, H., Preisler Adams, S., Engert, S., Sutter, C., Varon Mateeva, R., Wappenschmidt, B., Weber, B. H. F., Arver, B., Stenmark Askmalm, M., Loman, N., Rosenquist, R., Einbeigi, Z., Nathanson, K. L., Rebbeck, T. R., Blank, S. V., Cohn, D. E., Rodriguez, G. C., Small, L., Friedlander, M., Bae Jump, V. L., Fink Retter, A., Rappaport, C., Gschwantler Kaulich, D., Pfeiler, G., Tea, M. K., Lindor, N. M., Kaufman, B., Shimon Paluch, S., Laitman, Y., Skytte, A. B., Gerdes, A. M., Pedersen, I. S., Moeller, S. T., Kruse, T. A., Jensen, U. B., Vijai, J., Sarrel, K., Robson, M., Kauff, N., Mulligan, A. M., Glendon, G., Ozcelik, H., Ejlertsen, B., Nielsen, F. C., Jonson, L., Andersen, M. K., Ding, Y. C., Steele, L., Foretova, L., Teule, A., Lazaro, C., Brunet, J., Pujana, M. A., Mai, P. L., Loud, J. T., Walsh, C., Lester, J., Orsulic, S., Narod, S. A., Herzog, J., Sand, S. R., Tognazzo, S., Agata, S., Vaszko, T., Weaver, J., Stavropoulou, A. V., Buys, S. S., Romero, A., De La Hoya, M., Aittomaki, K., Muranen, T. A., Duran, M., Chung, W. K., Lasa, A., Dorfling, C. M., Miron, A., Benitez, J., Senter, L., Huo, D., Chan, S. B., Sokolenko, A. P., Chiquette, J., Tihomirova, L., Friebel, T. M., Agnarsson, B. A., K. H., Lu, Lejbkowicz, F., James, P. A., Hall, P., Dunning, A. M., Tessier, D., Cunningham, J., Slager, S. L., Wang, C., Hart, S., Stevens, K., Simard, J., Pastinen, T., Pankratz, V. S., Offit, K., Easton, D. F., Chenevix Trench, G., Antoniou, A. C., Thorne, H., Niedermayr, E., Borg, A., Olsson, H., Jernstrom, H., Henriksson, K., Harbst, K., Soller, M., Kristoffersson, U., Ofverholm, A., Nordling, M., Karlsson, P., Von Wachenfeldt, A., Liljegren, A., Lindblom, A., Bustinza, G. B., Rantala, J., Melin, B., Ardnor, C. E., Emanuelsson, M., Ehrencrona, H., Pigg, M. H., Liedgren, S., Hogervorst, F. B. L., Schmidt, M. K., De Lange, J., Collee, J. M., Van Den Ouweland, A. M. W., Hooning, M. J., Van Asperen, C. J., Tollenaar, R. A., Van Cronenburg, T. C. T. E. F., Kets, C. M., Mensenkamp, A. R., Van Der Luijt, R. B., Aalfs, C. M., Waisfisz, Q., Oosterwijk, J. C., Van Der Hout, H., Mourits, M. J., De Bock, G. H., Peock, S., Miedzybrodzka, Z., Morrison, P., Jeffers, L., Cole, T., Ong, K. R., Hoffman, J., James, M., Paterson, J., Taylor, A., Kennedy, M. J., Barton, D., Porteous, M., Drummond, S., Kivuva, E., Searle, A., Goodman, S., Hill, K., Davidson, R., Murday, V., Bradshaw, N., Snadden, L., Longmuir, M., Watt, C., Gibson, S., Haque, E., Tobias, E., Duncan, A., Jacobs, C., Langman, C., Brady, A., Melville, A., Randhawa, K., Barwell, J., Serra Feliu, G., Ellis, I., Lalloo, F., Taylor, J., Side, L., Male, A., Berlin, C., Collier, R., Claber, O., Jobson, I., Walker, L., Mcleod, D., Halliday, D., Durell, S., Stayner, B., Shanley, S., Rahman, N., Houlston, R., Stormorken, A., Bancroft, E., Page, E., Ardern Jones, A., Kohut, K., Wiggins, J., Castro, E., Killick, E., Martin, S., Rea, G., Kulkarni, A., Quarrell, O., Bardsley, C., Goff, S., Brice, G., Winchester, L., Eddy, C., Tripathi, V., Attard, V., Lehmann, A., Eccles, D., Lucassen, A., Crawford, G., Mcbride, D., Smalley, S., Sinilnikova, O., Barjhoux, L., Verny Pierre, C., Giraud, S., Stoppa Lyonnet, D., Buecher, B., Moncoutier, V., Belotti, M., Tirapo, C., De Pauw, A., Bressac De Paillerets, B., Caron, O., Uhrhammer, N., Bonadona, V., Handallou, S., Bourdon, V., Noguchi, T., Remenieras, A., Eisinger, F., Peyrat, J. P., Fournier, J., Revillion, F., Vennin, P., Adenis, C., Lidereau, R., Demange, L., Muller, D., Fricker, J. P., Barouk Simonet, E., Bonnet, F., Bubien, V., Sevenet, N., Longy, M., Toulas, C., Guimbaud, R., Gladieff, L., Feillel, V., Dreyfus, H., Rebischung, C., Peysselon, M., Coron, F., Faivre, L., Lebrun, M., Kientz, C., Ferrer, S. F., Frenay, M., Mortemousque, I., Coulet, F., Colas, C., Soubrier, F., Sokolowska, J., Bronner, M., Lynch, H. T., Snyder, C. L., Angelakos, M., Maskiell, J., Dite, G., MUMC+: DA KG Lab Centraal Lab (9), RS: GROW - School for Oncology and Reproduction, Biostatistiques santé, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Kastler Brossel (LKB (Jussieu)), Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Institut de biologie et chimie des protéines [Lyon] (IBCP), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Generalitat de Catalunya, Asociación Española Contra el Cáncer, Fundación Ramón Areces, Instituto de Salud Carlos III, Clinical Genetics, Pathology, Medical Oncology, Pediatric Surgery, Department of Obstetrics and Gynecology, Clinicum, Department of Medical and Clinical Genetics, HUS Gynecology and Obstetrics, Epidemiology and Data Science, Human genetics, CCA - Oncogenesis, Universitat de Barcelona, Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), CCA -Cancer Center Amsterdam, ARD - Amsterdam Reproduction and Development, and Human Genetics
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SELECTION ,Oncology ,Cancer Research ,Medicin och hälsovetenskap ,endocrine system diseases ,[SDV]Life Sciences [q-bio] ,610 Medizin ,Càncer d'ovari ,SUSCEPTIBILITY ALLELES ,MODIFIERS ,ComputingMilieux_LEGALASPECTSOFCOMPUTING ,Genome-wide association study ,QH426-470 ,Medical and Health Sciences ,SUBTYPES ,Breast cancer ,0302 clinical medicine ,Human genetics ,3123 Gynaecology and paediatrics ,Risk Factors ,GENETIC-VARIANTS ,Genotype ,Naturvetenskap ,Malalties hereditàries ,INVESTIGATORS ,skin and connective tissue diseases ,ComputingMilieux_MISCELLANEOUS ,Genetics (clinical) ,POPULATION ,Ovarian Neoplasms ,Genetics ,Subtypes ,ddc:610 ,0303 health sciences ,education.field_of_study ,Genètica humana ,Susceptibility alleles ,BRCA1 Protein ,COMMON VARIANTS ,Breast Cancer Epidemiology ,Middle Aged ,Prognosis ,BRCA2 Protein ,3. Good health ,030220 oncology & carcinogenesis ,Female ,Natural Sciences ,Genetic diseases ,Heterozygote ,medicine.medical_specialty ,Znf365 ,education ,3122 Cancers ,Population ,Breast Neoplasms ,Single-nucleotide polymorphism ,Biology ,Polymorphism, Single Nucleotide ,Càncer de mama ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Ovarian cancer ,Translational research [ONCOL 3] ,Internal medicine ,medicine ,Humans ,Genetic Predisposition to Disease ,Genetics and epigenetic pathways of disease Translational research [NCMLS 6] ,Molecular Biology ,Selection ,ddc:614 ,Ecology, Evolution, Behavior and Systematics ,030304 developmental biology ,Hereditary cancer and cancer-related syndromes [ONCOL 1] ,Common variants ,CONSORTIUM ,Modifiers ,Biology and Life Sciences ,BRCA1 ,medicine.disease ,R1 ,Genetic-variants ,Cancer and Oncology ,Mutation ,Investigators ,3111 Biomedicine ,ZNF365 ,Consortium ,Genome-Wide Association Study - Abstract
This is an open-access article distributed under the terms of the Creative Commons Attribution License.-- CIMBA et al., BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 × 10(-8), HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4 × 10(-8), HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 × 10(-8), HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10(-4)). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%-50% compared to 81%-100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers., The study was supported by NIH grant CA128978, an NCI Specialized Program of Research Excellence (SPORE) in Breast Cancer (CA116201), a U.S. Department of Defense Ovarian Cancer Idea award (W81XWH-10-1-0341), grants from the Breast Cancer Research Foundation and the Komen Foundation for the Cure; Cancer Research UK grants C12292/A11174 and C1287/A10118; the European Commission's Seventh Framework Programme grant agreement 223175 (HEALTH-F2-2009-223175). Breast Cancer Family Registry Studies (BCFR): supported by the National Cancer Institute, National Institutes of Health under RFA # CA-06-503 and through cooperative agreements with members of the Breast Cancer Family Registry (BCFR) and Principal Investigators, including Cancer Care Ontario (U01 CA69467), Cancer Prevention Institute of California (U01 CA69417), Columbia University (U01 CA69398), Fox Chase Cancer Center (U01 CA69631), Huntsman Cancer Institute (U01 CA69446), and University of Melbourne (U01 CA69638). The Australian BCFR was also supported by the National Health and Medical Research Council of Australia, the New South Wales Cancer Council, the Victorian Health Promotion Foundation (Australia), and the Victorian Breast Cancer Research Consortium. Melissa C. Southey is a NHMRC Senior Research Fellow and a Victorian Breast Cancer Research Consortium Group Leader. Carriers at FCCC were also identified with support from National Institutes of Health grants P01 CA16094 and R01 CA22435. The New York BCFR was also supported by National Institutes of Health grants P30 CA13696 and P30 ES009089. The Utah BCFR was also supported by the National Center for Research Resources and the National Center for Advancing Translational Sciences, NIH grant UL1 RR025764, and by Award Number P30 CA042014 from the National Cancer Institute. Baltic Familial Breast Ovarian Cancer Consortium (BFBOCC): BFBOCC is partly supported by Lithuania (BFBOCC-LT), Research Council of Lithuania grant LIG-19/2010, and Hereditary Cancer Association (Paveldimo vėžio asociacija)., Latvia (BFBOCC-LV) is partly supported by LSC grant 10.0010.08 and in part by a grant from the ESF Nr.2009/0220/1DP/1.1.1.2.0/09/APIA/VIAA/016.BRCA-gene mutations and breast cancer in South African women (BMBSA): BMBSA was supported by grants from the Cancer Association of South Africa (CANSA) to Elizabeth J. van Rensburg. Beckman Research Institute of the City of Hope (BRICOH): Susan L. Neuhausen was partially supported by the Morris and Horowitz Families Endowed Professorship. BRICOH was supported by NIH R01CA74415 and NIH P30 CA033752. Copenhagen Breast Cancer Study (CBCS): The CBCS study was supported by the NEYE Foundation. Spanish National Cancer Centre (CNIO): This work was partially supported by Spanish Association against Cancer (AECC08), RTICC 06/0020/1060, FISPI08/1120, Mutua Madrileña Foundation (FMMA) and SAF2010-20493. City of Hope Cancer Center (COH): The City of Hope Clinical Cancer Genetics Community Research Network is supported by Award Number RC4A153828 (PI: Jeffrey N. Weitzel) from the National Cancer Institute and the Office of the Director, National Institutes of Health. CONsorzio Studi ITaliani sui Tumori Ereditari Alla Mammella (CONSIT TEAM): CONSIT TEAM was funded by grants from Fondazione Italiana per la Ricerca sul Cancro (Special Project “Hereditary tumors”), Italian Association for Cancer Research (AIRC, IG 8713), Italian Minitry of Health (Extraordinary National Cancer Program 2006, “Alleanza contro il Cancro” and “Progetto Tumori Femminili), Italian Ministry of Education, University and Research (Prin 2008) Centro di Ascolto Donne Operate al Seno (CAOS) association and by funds from Italian citizens who allocated the 5×1000 share of their tax payment in support of the Fondazione IRCCS Istituto Nazionale Tumori, according to Italian laws (INT-Institutional strategic projects ‘5×1000’). German Cancer Research Center (DKFZ): The DKFZ study was supported by the DKFZ. The Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON): HEBON is supported by the Dutch Cancer Society grants NKI1998-1854, NKI2004-3088, NKI2007-3756, the NWO grant 91109024, the Pink Ribbon grant 110005, and the BBMRI grant CP46/NWO., Epidemiological study of BRCA1 & BRCA2 mutation carriers (EMBRACE): EMBRACE is supported by Cancer Research UK Grants C1287/A10118 and C1287/A11990. D. Gareth Evans and Fiona Lalloo are supported by an NIHR grant to the Biomedical Research Centre, Manchester. The Investigators at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust are supported by an NIHR grant to the Biomedical Research Centre at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust. Rosalind A. Eeles and Elizabeth Bancroft are supported by Cancer Research UK Grant C5047/A8385. Fox Chase Cancer Canter (FCCC): The authors acknowledge support from The University of Kansas Cancer Center and the Kansas Bioscience Authority Eminent Scholar Program. Andrew K. Godwin was funded by 5U01CA113916, R01CA140323, and by the Chancellors Distinguished Chair in Biomedical Sciences Professorship. German Consortium of Hereditary Breast and Ovarian Cancer (GC-HBOC): The German Consortium of Hereditary Breast and Ovarian Cancer (GC-HBOC) is supported by the German Cancer Aid (grant no 109076, Rita K. Schmutzler) and by the Center for Molecular Medicine Cologne (CMMC). Genetic Modifiers of cancer risk in BRCA1/2 mutation carriers (GEMO): The GEMO study was supported by the Ligue National Contre le Cancer; the Association “Le cancer du sein, parlons-en!” Award and the Canadian Institutes of Health Research for the “CIHR Team in Familial Risks of Breast Cancer” program. Gynecologic Oncology Group (GOG): This study was supported by National Cancer Institute grants to the Gynecologic Oncology Group (GOG) Administrative Office and Tissue Bank (CA 27469), Statistical and Data Center (CA 37517), and GOG's Cancer Prevention and Control Committtee (CA 101165). Drs. Mark H. Greene and Phuong L. Mai were supported by funding from the Intramural Research Program, NCI, NIH. Hospital Clinico San Carlos (HCSC): HCSC was supported by RETICC 06/0020/0021, FIS research grant 09/00859, Instituto de Salud Carlos III, Spanish Ministry of Economy and Competitivity, and the European Regional Development Fund (ERDF)., Helsinki Breast Cancer Study (HEBCS): The HEBCS was financially supported by the Helsinki University Central Hospital Research Fund, Academy of Finland (132473), the Finnish Cancer Society, the Nordic Cancer Union, and the Sigrid Juselius Foundation. Study of Genetic Mutations in Breast and Ovarian Cancer patients in Hong Kong and Asia (HRBCP): HRBCP is supported by The Hong Kong Hereditary Breast Cancer Family Registry and the Dr. Ellen Li Charitable Foundation, Hong Kong. Molecular Genetic Studies of Breast and Ovarian Cancer in Hungary (HUNBOCS): HUNBOCS was supported by Hungarian Research Grant KTIA-OTKA CK-80745 and the Norwegian EEA Financial Mechanism HU0115/NA/2008-3/ÖP-9. Institut Català d'Oncologia (ICO): The ICO study was supported by the Asociación Española Contra el Cáncer, Spanish Health Research Foundation, Ramón Areces Foundation, Carlos III Health Institute, Catalan Health Institute, and Autonomous Government of Catalonia and contract grant numbers: ISCIIIRETIC RD06/0020/1051, PI09/02483, PI10/01422, PI10/00748, 2009SGR290, and 2009SGR283. International Hereditary Cancer Centre (IHCC): Supported by the Polish Foundation of Science. Katarzyna Jaworska is a fellow of International PhD program, Postgraduate School of Molecular Medicine, Warsaw Medical University. Iceland Landspitali–University Hospital (ILUH): The ILUH group was supported by the Icelandic Association “Walking for Breast Cancer Research” and by the Landspitali University Hospital Research Fund. INterdisciplinary HEalth Research Internal Team BReast CAncer susceptibility (INHERIT): INHERIT work was supported by the Canadian Institutes of Health Research for the “CIHR Team in Familial Risks of Breast Cancer” program, the Canadian Breast Cancer Research Alliance grant 019511 and the Ministry of Economic Development, Innovation and Export Trade grant PSR-SIIRI-701. Jacques Simard is Chairholder of the Canada Research Chair in Oncogenetics., Istituto Oncologico Veneto (IOVHBOCS): The IOVHBOCS study was supported by Ministero dell'Istruzione, dell'Università e della Ricerca and Ministero della Salute (“Progetto Tumori Femminili” and RFPS 2006-5-341353,ACC2/R6.9”). Kathleen Cuningham Consortium for Research into Familial Breast Cancer (kConFab): kConFab is supported by grants from the National Breast Cancer Foundation and the National Health and Medical Research Council (NHMRC) and by the Queensland Cancer Fund; the Cancer Councils of New South Wales, Victoria, Tasmania, and South Australia; and the Cancer Foundation of Western Australia. Amanda B. Spurdle is an NHMRC Senior Research Fellow. The Clinical Follow Up Study was funded from 2001–2009 by NHMRC and currently by the National Breast Cancer Foundation and Cancer Australia #628333. Mayo Clinic (MAYO): MAYO is supported by NIH grant CA128978, an NCI Specialized Program of Research Excellence (SPORE) in Breast Cancer (CA116201), a U.S. Department of Defence Ovarian Cancer Idea award (W81XWH-10-1-0341) and grants from the Breast Cancer Research Foundation and the Komen Foundation for the Cure. McGill University (MCGILL): The McGill Study was supported by Jewish General Hospital Weekend to End Breast Cancer, Quebec Ministry of Economic Development, Innovation, and Export Trade. Memorial Sloan-Kettering Cancer Center (MSKCC): The MSKCC study was supported by Breast Cancer Research Foundation, Niehaus Clinical Cancer Genetics Initiative, Andrew Sabin Family Foundation, and Lymphoma Foundation. Modifier Study of Quantitative Effects on Disease (MODSQUAD): MODSQUAD was supported by the European Regional Development Fund and the State Budget of the Czech Republic (RECAMO, CZ.1.05/2.1.00/03.0101). Women's College Research Institute, Toronto (NAROD): NAROD was supported by NIH grant: 1R01 CA149429-01. National Cancer Institute (NCI): Drs. Mark H. Greene and Phuong L. Mai were supported by the Intramural Research Program of the US National Cancer Institute, NIH, and by support services contracts NO2-CP-11019-50 and N02-CP-65504 with Westat, Rockville, MD. National Israeli Cancer Control Center (NICCC): NICCC is supported by Clalit Health Services in Israel. Some of its activities are supported by the Israel Cancer Association and the Breast Cancer Research Foundation (BCRF), NY. N. N. Petrov Institute of Oncology (NNPIO): The NNPIO study has been supported by the Russian Foundation for Basic Research (grants 11-04-00227, 12-04-00928, and 12-04-01490), the Federal Agency for Science and Innovations, Russia (contract 02.740.11.0780), and through a Royal Society International Joint grant (JP090615). The Ohio State University Comprehensive Cancer Center (OSU-CCG): OSUCCG is supported by the Ohio State University Comprehensive Cancer Center., South East Asian Breast Cancer Association Study (SEABASS): SEABASS is supported by the Ministry of Science, Technology and Innovation, Ministry of Higher Education (UM.C/HlR/MOHE/06) and Cancer Research Initiatives Foundation. Sheba Medical Centre (SMC): The SMC study was partially funded through a grant by the Israel Cancer Association and the funding for the Israeli Inherited Breast Cancer Consortium. Swedish Breast Cancer Study (SWE-BRCA): SWE-BRCA collaborators are supported by the Swedish Cancer Society. The University of Chicago Center for Clinical Cancer Genetics and Global Health (UCHICAGO): UCHICAGO is supported by grants from the US National Cancer Institute (NIH/NCI) and by the Ralph and Marion Falk Medical Research Trust, the Entertainment Industry Fund National Women's Cancer Research Alliance, and the Breast Cancer Research Foundation. University of California Los Angeles (UCLA): The UCLA study was supported by the Jonsson Comprehensive Cancer Center Foundation and the Breast Cancer Research Foundation. University of California San Francisco (UCSF): The UCSF study was supported by the UCSF Cancer Risk Program and the Helen Diller Family Comprehensive Cancer Center. United Kingdom Familial Ovarian Cancer Registries (UKFOCR): UKFOCR was supported by a project grant from CRUK to Paul Pharoah. University of Pennsylvania (UPENN): The UPENN study was supported by the National Institutes of Health (NIH) (R01-CA102776 and R01-CA083855), Breast Cancer Research Foundation, Rooney Family Foundation, Susan G. Komen Foundation for the Cure, and the Macdonald Family Foundation. Victorian Familial Cancer Trials Group (VFCTG): The VFCTG study was supported by the Victorian Cancer Agency, Cancer Australia, and National Breast Cancer Foundation. Women's Cancer Research Initiative (WCRI): The WCRI at the Samuel Oschin Comprehensive Cancer Institute, Cedars Sinai Medical Center, Los Angeles, is funded by the American Cancer Society Early Detection Professorship (SIOP-06-258-01-COUN).
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- 2013
36. Risk ranking of chemical and microbiological hazards in food.
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Swedish National Food Agency (NFA), Uppsala, Sweden, Langerholc, T., Lindqvist, R., and Sand, S.
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TOXICOLOGICAL chemistry ,MICROBIAL contamination ,HEAVY metals ,RISK assessment ,FOOD safety - Abstract
Abstract: Risk ranking is a versatile tool used to prioritise activities performed by public health regulatory bodies. It also allows efficient communication between all stakeholders in the process of risk analysis. However, risk ranking methods are still not optimal. Because of the different approaches employed in the risk assessment of microbiological agents and chemicals, it is difficult to rank them together using the same metrics. In our work, we first discuss differences and commonalities between chemical and microbiological risk assessment to provide a starting point for consideration of a common risk ranking platform. In the second part, we perform risk ranking of contaminants and regulated chemicals using the recently developed Risk Thermometer tool. In this approach, chemicals are not ranked solely on the basis of the margin of exposure between a reference value and the exposure, but also by considering the severity of the critical health effects used. The results show that ranking using both methods provides different results from the use of either method alone. Overall, specific chemical groups (i.e. heavy metals, pesticides, etc.) do not generally rank higher or lower, but individual compounds are scattered in the rankings from low to high. Risk ranking methods demand further development to gain wide acceptability and recognition. [ABSTRACT FROM AUTHOR]
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- 2018
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37. Analysis of Multipath Mitigation Techniques with Land Mobile Satellite Channel Model
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Bhuiyan, M. Z. H., Zhang, J., Elena Simona Lohan, Wang, W., and Sand, S.
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performance analysis ,Multipath mitigation technique ,Computer Science::Networking and Internet Architecture ,channel model ,GNSS receiver ,Computer Science::Information Theory - Abstract
Multipath is undesirable for Global Navigation Satellite System (GNSS) receivers, since the reception of multipath can create a significant distortion to the shape of the correlation function leading to an error in the receivers’ position estimate. Many multipath mitigation techniques exist in the literature to deal with the multipath propagation problem in the context of GNSS. The multipath studies in the literature are often based on optimistic assumptions, for example, assuming a static two-path channel or a fading channel with a Rayleigh or a Nakagami distribution. But, in reality, there are a lot of channel modeling issues, for example, satellite-to-user geometry, variable number of paths, variable path delays and gains, Non Line-Of-Sight (NLOS) path condition, receiver movements, etc. that are kept out of consideration when analyzing the performance of these techniques. Therefore, this is of utmost importance to analyze the performance of different multipath mitigation techniques in some realistic measurement-based channel models, for example, the Land Multipath is undesirable for Global Navigation Satellite System (GNSS) receivers, since the reception of multipath can create a significant distortion to the shape of the correlation function leading to an error in the receivers’ position estimate. Many multipath mitigation techniques exist in the literature to deal with the multipath propagation problem in the context of GNSS. The multipath studies in the literature are often based on optimistic assumptions, for example, assuming a static two-path channel or a fading channel with a Rayleigh or a Nakagami distribution. But, in reality, there are a lot of channel modeling issues, for example, satellite-to-user geometry, variable number of paths, variable path delays and gains, Non Line-Of-Sight (NLOS) path condition, receiver movements, etc. that are kept out of consideration when analyzing the performance of these techniques. Therefore, this is of utmost importance to analyze the performance of different multipath mitigation techniques in some realistic measurement-based channel models, for example, the Land Mobile Satellite (LMS) channel model [1]-[4], developed at the German Aerospace Center (DLR). The DLR LMS channel model is widely used for simulating the positioning accuracy of mobile satellite navigation receivers in urban outdoor scenarios. The main objective of this paper is to present a comprehensive analysis of some of the most promising techniques with the DLR LMS channel model in varying multipath scenarios. Four multipath mitigation techniques are chosen herein for performance comparison, namely, the narrow Early-Minus-Late (nEML), the High Resolution Correlator, the C/N0-based two stage delay tracking technique, and the Reduced Search Space Maximum Likelihood (RSSML) delay estimator. The first two techniques are the most popular and traditional ones used in nowadays GNSS receivers, whereas the later two techniques are comparatively new and are advanced techniques, recently proposed by the authors. In addition, the implementation of the RSSML is optimized here for a narrow-bandwidth receiver configuration in the sense that it now requires a significantly less number of correlators and memory than its original implementation. The simulation results show that the reduced-complexity RSSML achieves the best multipath mitigation performance in moderate-to-good carrier-to-noise density ratio with the DLR LMS channel model in varying multipath scenarios.
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- 2012
38. Nordic dietary surveys : Study designs, methods, results and use in food-based risk assessments
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Fagt, Sisse, Gunnarsdottir, I., Hallas-Møller, T., Helldán, A., Halldorsson, T. I., Knutsen, H., Lillegaard, I. T. L., Lindroos, A. K., Mikkilä, V., Sand, S., Salmenhaara, M., Steingrimsdottir, L., Vikstedt, T., and Ovaskainen, M.-L.
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Velferd ,Velfærd ,Heilsa ,Næringsmidler ,Velferð ,digestive, oral, and skin physiology ,Matvæli ,Hyvinvointi ,elintarvikkeet ,Fødevarer ,Helse ,terveys ,Sundhed - Abstract
National dietary surveys have been completed in all five Nordic countries for purposes of nutritional assessment. The NORDIRA project started in 2009 with objectives of sharing experiences within collection of food consumption data and applications of it in food-based risk assessment. The NORDIRA-group consisted of experts working within dietary surveys as well within risk assessment. The project collected results and methodological aspects of national dietary surveys, the presentations of food consumption figures and data calculation processes of risk assessment. This TemaNord report is a summary of the presentations and experiences shared during the three year period of the NORDIRA project. The group emphasizes a flexible food aggregation system in reporting food consumption to enable different kind of matching of data from food consumption and occurence of chemical substances.
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- 2012
39. Risk assessment of non-developmental health effects of polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans and dioxins-like polychlorinated biphenyls in food
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Hanberg, A., Öberg, M., Sand, S., Darnerud, P. O., and Glynn, A.
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Sweden ,Opinion ,food ,developmental health effects ,polychlorinated dibenzofurans ,biphenyl - Abstract
The Swedish National Food Administration (NFA) and the Institute of Environmental Medicine at Karolinska Institutet have performed a risk assessment of nondevelopmental exposure to polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs) and dioxin-like polychlorinated biphenyls (dl- PCBs), as a scientific base for revision of the dietary advice regarding consumption of dioxin-contaminated fish in Sweden. The aim of the risk assessment is to identify the critical health effects on humans exposed to dioxins during childhood and adulthood, and, if possible, to obtain a tolerable exposure level for these stages in life. In this process, uncertainties in the scientific data have been weighed into different scenarios of extrapolation from animal risks to human risks. Moreover, human data have been used as far as possible in the assessment of risks at background levels of exposure. The risk assessment is one of several scientific inputs to the process of revision of fish consumption advisories performed by the Swedish NFA, and will be used by the risk managers during the development of the new advisory. In this process the weighing of risks connected to fish consumption against the benefits of fish consumption is important, and we believe that this risk assessment will give a valuable contribution to this analysis. The risk assessment is based on the earlier risk assessments performed by the EU [10, 16] and WHO [5]. The critical studies regarding risks due to exposure during childhood (not including breast milk exposure), adolescence and adulthood were extracted from these assessments and from the literature published after these assessments were performed. We focus on toxic effects due to exposure after birth (not including breast milk exposure), both in animals and humans. The report does not include in-depth information on chemistry and analytical methods, sources, environmental levels, SE; en; salomon.sand@slv.se
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- 2007
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40. Survey on world wide research on 4G air interface concepts
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Raulefs, R., Robertson, P., Dammann, A., Kaiser, S., Sand, S., Behrens, F., Rodriguez, J., Bauer, F., Mottier, D., Rabineau, R., Legeouble, R., Helard, JF., Alvarez, A., Durand, Y., and Gameiro, A.
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Air Interface ,4G ,Mobile Radio - Published
- 2005
41. System definition and criteria to select the schemes to be integrated
- Author
-
Bauer, F., Rodriguez, J., Saelzer, T., Raulefs, R., Arkhipov, A., and Sand, S.
- Subjects
4G ,Mobile Radio - Published
- 2005
42. Rotated Spreading Matrices in a Brodband Coded MC-CDMA System
- Author
-
Raulefs, R., Dammann, A., Sand, S., Kaiser, S., and Auer, G.
- Subjects
MC-CDMA ,Rotated Spreading Matrices ,Brodband - Published
- 2004
43. Enhanced detection through signal space diversity for a coded MC-CDMA system (Best Paper Award)
- Author
-
Raulefs, R., Dammann, A., Sand, S., Kaiser, S., and Auer, G.
- Subjects
MC-CDMA ,Space Diversity ,Enhanced Detection - Published
- 2004
44. Iterative Channel Estimation for High Mobility Broadband MC-CDMA
- Author
-
Sand, S.
- Subjects
High Mobility ,MC-CDMA ,Channel estimation ,Broadband - Published
- 2004
45. Anchor-free localization using round-trip delay measurements for martian swarm exploration
- Author
-
Zhang, S., primary, Staudinger, E., additional, Sand, S., additional, Raulefs, R., additional, and Dammann, A., additional
- Published
- 2014
- Full Text
- View/download PDF
46. Molecular detection of virulence factors among food and clinical Enterococcus faecalis strains in South Brazil
- Author
-
Medeiros, A.W., primary, Pereira, R.I., additional, Oliveira, D.V., additional, Martins, P.D., additional, d'Azevedo, P.A., additional, Van der Sand, S., additional, Frazzon, J., additional, and Frazzon, A.P.G, additional
- Published
- 2014
- Full Text
- View/download PDF
47. Rotated Transforms for MC-CDMA
- Author
-
Raulefs, R., Dammann, A., Sand, S., and Kaiser, St.
- Subjects
MC-CDMA ,Rotatet Transforms - Published
- 2003
48. Intermediate Report WP 1.3: 'Parameter Optimization'
- Author
-
Sand, S. and Raulefs, R.
- Subjects
MIMO - Published
- 2003
49. On Modelling Cellular Interference for Multi-Carrier based Communication Systems Including a Synchronization Offset
- Author
-
Auer, G., Dammann, A., Sand, S., and Kaiser, S.
- Subjects
Communication System ,Cellular Interference ,Synchronization Offset ,Modelling ,Multi-Carrier - Published
- 2003
50. Comparison of low complexity OFDM channel estimation techniques
- Author
-
Auer, G., Sand, S., and Dammann, A.
- Subjects
Low Complexity OFDM ,Channel Estimation ,OFDM - Published
- 2003
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