Publications

265 Publications visible to you, out of a total of 265

Abstract (Expand)

The 10q26 locus in the second intron of FGFR2 is the locus most strongly associated with estrogen-receptor-positive breast cancer in genome-wide association studies. We conducted fine-scale mapping in case-control studies genotyped with a custom chip (iCOGS), comprising 41 studies (n = 89,050) of European ancestry, 9 Asian ancestry studies (n = 13,983), and 2 African ancestry studies (n = 2,028) from the Breast Cancer Association Consortium. We identified three statistically independent risk signals within the locus. Within risk signals 1 and 3, genetic analysis identified five and two variants, respectively, highly correlated with the most strongly associated SNPs. By using a combination of genetic fine mapping, data on DNase hypersensitivity, and electrophoretic mobility shift assays to study protein-DNA binding, we identified rs35054928, rs2981578, and rs45631563 as putative functional SNPs. Chromatin immunoprecipitation showed that FOXA1 preferentially bound to the risk-associated allele (C) of rs2981578 and was able to recruit ER\textgreeka to this site in an allele-specific manner, whereas E2F1 preferentially bound the risk variant of rs35054928. The risk alleles were preferentially found in open chromatin and bound by Ser5 phosphorylated RNA polymerase II, suggesting that the risk alleles are associated with changes in transcription. Chromatin conformation capture demonstrated that the risk region was able to interact with the promoter of FGFR2, the likely target gene of this risk region. A role for FOXA1 in mediating breast cancer susceptibility at this locus is consistent with the finding that the FGFR2 risk locus primarily predisposes to estrogen-receptor-positive disease.

Authors: Kerstin B. Meyer, Martin O’Reilly, Kyriaki Michailidou, Saskia Carlebur, Stacey L. Edwards, Juliet D. French, Radhika Prathalingham, Joe Dennis, Manjeet K. Bolla, Qin Wang, Ines de Santiago, John L. Hopper, Helen Tsimiklis, Carmel Apicella, Melissa C. Southey, Marjanka K. Schmidt, Annegien Broeks, Laura J. van ’t Veer, Frans B. Hogervorst, Kenneth Muir, Artitaya Lophatananon, Sarah Stewart-Brown, Pornthep Siriwanarangsan, Peter A. Fasching, Michael P. Lux, Arif B. Ekici, Matthias W. Beckmann, Julian Peto, Isabel Dos Santos Silva, Olivia Fletcher, Nichola Johnson, Elinor J. Sawyer, Ian Tomlinson, Michael J. Kerin, Nicola Miller, Federick Marme, Andreas Schneeweiss, Christof Sohn, Barbara Burwinkel, Pascal Guénel, Thérèse Truong, Pierre Laurent-Puig, Florence Menegaux, Stig E. Bojesen, Børge G. Nordestgaard, Sune F. Nielsen, Henrik Flyger, Roger L. Milne, M. Pilar Zamora, Jose I. Arias, Javier Benitez, Susan Neuhausen, Hoda Anton-Culver, Argyrios Ziogas, Christina C. Dur, Hermann Brenner, Heiko Müller, Volker Arndt, Christa Stegmaier, Alfons Meindl, Rita K. Schmutzler, Christoph Engel, Nina Ditsch, Hiltrud Brauch, Thomas Brüning, Yon-Dschun Ko, Heli Nevanlinna, Taru A. Muranen, Kristiina Aittomäki, Carl Blomqvist, Keitaro Matsuo, Hidemi Ito, Hiroji Iwata, Yasushi Yatabe, Thilo Dörk, Sonja Helbig, Natalia V. Bogdanova, Annika Lindblom, Sara Margolin, Arto Mannermaa, Vesa Kataja, Veli-Matti Kosma, Jaana M. Hartikainen, Georgia Chenevix-Trench, Anna H. Wu, Chiu-Chen Tseng, David van den Berg, Daniel O. Stram, Diether Lambrechts, Bernard Thienpont, Marie-Rose Christiaens, Ann Smeets, Jenny Chang-Claude, Anja Rudolph, Petra Seibold, Dieter Flesch-Janys, Paolo Radice, Paolo Peterlongo, Bernardo Bonanni, Loris Bernard, Fergus J. Couch, Janet E. Olson, Xianshu Wang, Kristen Purrington, Graham G. Giles, Gianluca Severi, Laura Baglietto, Catriona McLean, Christopher A. Haiman, Brian E. Henderson, Fredrick Schumacher, Loic Le Marchand, Jacques Simard, Mark S. Goldberg, France Labrèche, Martine Dumont, Soo-Hwang Teo, Cheng-Har Yip, Sze-Yee Phuah, Vessela Kristensen, Grethe Grenaker Alnæs, Anne-Lise Børresen-Dale, Wei Zheng, Sandra Deming-Halverson, Martha Shrubsole, Jirong Long, Robert Winqvist, Katri Pylkäs, Arja Jukkola-Vuorinen, Saila Kauppila, Irene L. Andrulis, Julia A. Knight, Gord Glendon, Sandrine Tchatchou, Peter Devilee, Robert A. E. M. Tollenaar, Caroline M. Seynaeve, Montserrat García-Closas, Jonine Figueroa, Stephen J. Chanock, Jolanta Lissowska, Kamila Czene, Hartef Darabi, Kimael Eriksson, Maartje J. Hooning, John W. M. Martens, Ans M. W. van den Ouweland, Carolien H. M. van Deurzen, Per Hall, Jingmei Li, Jianjun Liu, Keith Humphreys, Xiao-Ou Shu, Wei Lu, Yu-Tang Gao, Hui Cai, Angela Cox, Malcolm W. R. Reed, William Blot, Lisa B. Signorello, Qiuyin Cai, Paul D. P. Pharoah, Maya Ghoussaini, Patricia Harrington, Jonathan Tyrer, Daehee Kang, Ji-Yeob Choi, Sue K. Park, Dong-Young Noh, Mikael Hartman, Miao Hui, Wei-Yen Lim, Shaik A. Buhari, Ute Hamann, Asta Försti, Thomas Rüdiger, Hans-Ulrich Ulmer, Anna Jakubowska, Jan Lubinski, Katarzyna Jaworska, Katarzyna Durda, Suleeporn Sangrajrang, Valerie Gaborieau, Paul Brennan, James McKay, Celine Vachon, Susan Slager, Florentia Fostira, Robert Pilarski, Chen-Yang Shen, Chia-Ni Hsiung, Pei-Ei Wu, Ming-Feng Hou, Anthony Swerdlow, Alan Ashworth, Nick Orr, Minouk J. Schoemaker, Bruce A. J. Ponder, Alison M. Dunning, Douglas F. Easton

Date Published: 1st Dec 2013

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Abstract (Expand)

The high incidence of cognitive impairment in the ageing population, together with the challenges it imposes to health systems, raises the question of what affect working life has on cognitive abilities. The study, therefore, reviews recent work on the longitudinal impact of psychosocial work conditions on cognitive functioning and on dementia. Relevant articles were identified by a systematic literature search in PubMed and PsycINFO using a standardised search string and specific inclusion and exclusion criteria. We included articles reporting longitudinal effects that were investigated in cohort studies, case-control studies or randomised controlled trials in the working population. Two independent reviewers evaluated the studies in three subsequent phases: (i) title-abstract screening, (ii) full-text screening and (iii) checklist-based quality assessment.Methodical evaluation of the identified articles resulted in 17 studies of adequate quality. We found evidence for a protective effect of high job control and high work complexity with people and data on the risk of cognitive decline and dementia. Moreover, cognitively demanding work conditions seem to be associated with a decreased risk of cognitive deterioration in old age.Psychosocial work conditions can have an impact on cognitive functioning and even on the risk of dementia. As the world of work is undergoing fundamental changes, such as accelerated technological advances and an ageing working population, optimising work conditions is essential in order to promote and maintain cognitive abilities into old age.

Authors: F. S. Then, T. Luck, M. Luppa, M. Thinschmidt, S. Deckert, K. Nieuwenhuijsen, A. Seidler, S. G. Riedel-Heller

Date Published: 22nd Nov 2013

Publication Type: Not specified

Human Diseases: dementia

Abstract (Expand)

BACKGROUND: Minor depression (MinD) and mild cognitive impairment (MCI) are common disorders in late life that often coexist. The aim of the present review is to demonstrate prevalence rates of minor depression in older patients with and without MCI. METHODS: Electronic database searches were performed through Medline, ISI Web of Knowledge, Psycinfo, and Cochrane library. Two independent reviewers extracted the original studies based on inclusion criteria: representative study population aged 55 and older, diagnostics of MinD according to DSM. Data on prevalence rates, risk factors, comorbidity and health care usage were analyzed. RESULTS: Point prevalence for MinD is higher in medical settings (median 14.4%) than in the community-based settings (median 10.4%) and primary care patients (median 7.7%). Although minor depression is rarely investigated in elderly persons with MCI, nearly 20% of patients with MCI seem to suffer from MinD. No data was found on the prevalence of MCI in patients with MinD. Risk factors associated with MinD include female gender, history of cerebrovascular diseases, generalized anxiety disorder, loneliness, and long-term institutional care. LIMITATIONS: Methodological differences of included studies resulted in a broad range of prevalence rates. No data is shown regarding the prevalence of MCI in MinD group due to insufficient evidence. CONCLUSIONS: Our review indicates that MinD is frequent in elderly population. MCI among those subjects has not been sufficiently investigated. Future studies based on clinical structured interviews should be performed in longitudinal design in order to differentiate late-life depression from progressive MCI or early manifestation of Alzheimer's disease.

Authors: M. Polyakova, N. Sonnabend, C. Sander, R. Mergl, M. L. Schroeter, J. Schroeder, P. Schonknecht

Date Published: 10th Oct 2013

Publication Type: Not specified

Human Diseases: mental depression

Abstract (Expand)

Introduction LIFE is a large epidemiological study aiming at causes of common civilization diseases including adiposity, dementia, and depression. Participants of the study are probands and patients. Probands are randomly selected and invited from the set of Leipzig (Germany) inhabitants while patients with known diseases are recruited from several local hospitals. The management of these participants, their invitation and contact after successful attendance as well as the support of nearly all ambulance processes requires a complex ambulance management. Each participant is examined by a set of investigation instruments including interviews, questionnaires, device-specific investigations, specimen extrac- tions and analyses. This necessitates a complex management of the participantspecific examination program but also specific input forms and systems allowing to capture administrative (measurement and process environment or specific set-ups) and scientific data. Additionally, the taken and prepared specimens need to be labeled and registered from which participant they stem and in which fridge or bio-tank they are stored. At the end, all captured data from ambu- lance management, investigation instruments and laboratory analyses need to be integrated before they can be analyzed. These complex processes and requirements necessitate a comprehensive IT-infrastructure. Methods Our IT-infrastructure modularly consists of several software applications. A main application is responsible for the complex participant and ambulance man- agement. The participant management cope with selected participant data and contact information. To protect participant’s privacy, a participant identifier (PID) is created for each participant that is associated to all data which is managed and captured in the following. In ambulance management, each participant is associated with a predefined investigation program. This investigation program is represented in our systems by a tracking card that is available as print-out and electronically. The electronic version of tracking cards is utilized by two software applications, the Assessment Battery and the CryoLab. The former system coordinates the input of scientific data into online input forms. The input forms are designed in the open source system LimeSurvey. Moreover, the Assessment Battery is used to monitor the input process, i.e., it shows which investigations are already completed and which of them are still to do. The Cryolab system registers and tracks all taken specimens and is used to annotate extraction and specific preparation processes, e.g., for DNA isolation. Moreover, it tracks specimen storage in fridges and bio-tanks. A central component is the metadata repository collecting metadata from ambulance management and data input systems. It is the base for the integra- tion of relevant scientific data into a central research database. The integration follows a mapping-based approach. The research database makes raw data and special pre-computations called derivatives available for later data analysis. Results & Discussion We designed and implemented a complex and comprehensive IT-infrastructure for the epidemiological research in LIFE. This infrastructure consists of several software applications which are loosely coupled over specified interfaces. Most of the software applications are new implementations; only for capturing scientific data external software application are applied.

Authors: Toralf Kirsten, A. Kiel, M. Kleinert, R. Speer, M. Rühle, Hans Binder, Markus Löffler

Date Published: 30th Sep 2013

Publication Type: Not specified

Abstract (Expand)

Introduction LIFE is a epidemiological study aiming at discovering causes of common disorders as well as therapy and diagnostic possibilities. It applies a huge set (currently more then 400) of complex instruments including different kinds of interviews, questionnaires, and technically founded investigations on thousands of Leipzig inhabitants. Correlations in data, e.g., between diseases on the one hand and a combination of life conditions on the other requires high quality data. Data errors affect this data quality. However, avoiding every error is nearly impossible. Therefore, the captured data routinely needs to be validated and revised (curated) in case of error. Methods From the data-perspective, we differentiate between two main types of data errors, syntax or format errors and semantic errors. Syntax errors mostly occur when the data needs to be converted to change its data type, e.g., from text to number or from text to date/time fields. This is often the case when data is captured as text by the data input system but should be centrally managed and analyzed in a different format. Hence, the data conversion is only successful when the input data contains the data in the right format. Data conversion is applied when the data is transfered from data input systems to the central research database collecting all captured data in an integrated and harmonized form. Corrupted data that cannot be converted to the target data type is replaced by a missing value (also called null value, nil etc.). The definition of a default value is not sufficient since the default usually depends on the corresponding question or measurement input field and can strain analysis results when they are not concerned. Moreover, the definition process for every question/input field would be to time-consuming. Semantic errors are much harder to detect than syntax errors. Typically, they are semantically implausible outliers or are part of other artefacts, e.g.,when data of two input fields is mixed up. Currently, we let the detection of semantic errors to a epidemiological quality analysis that is performed by several statisticians. Conversely, syntax errors can be easily technically detected; they are logged when they occur in the process of transferring data from data input systems to the central research database. With respect to both types of errors, syntax and semantic errors, we designed and implemented a software application called Curation-DB allowing to curate (adapt and change) data. In particular, the system lists the logged syntax errors occurring during the data conversion step daily at night. A user can adapt the current input value by specifying a new (target) value for a listed syntax problem. With this specification, the corresponding input value is replaced by the specified value before the next conversion step is started. This specification process can be iteratively applied for a corresponding input value when the syntax problem is not solved by the current specification. The semantic errors need to be first detected separately. Then, a user can specify value changes replacing an existing value with the new specified one. Results & Discussion The Curation-DB application is already in use. Currently, selected quality managers routinely check the listed syntax errors. There are currently more than 2000 of such errors curated. In near future, we will extend this software to manage rules validating research data semantically to automatically detect obvious semantic errors.

Authors: J. Wagner, A. Kiel, Toralf Kirsten

Date Published: 30th Sep 2013

Publication Type: Not specified

Abstract (Expand)

BACKGROUND: Risk prediction models are widely used in clinical genetic counselling. Despite their frequent use, the genetic risk models BOADICEA, BRCAPRO, IBIS and extended Claus model (eCLAUS), used to estimate BRCA1/2 mutation carrier probabilities, have never been comparatively evaluated in a large sample from central Europe. Additionally, a novel version of BOADICEA that incorporates tumour pathology information has not yet been validated. PATIENTS AND METHODS: Using data from 7352 German families we estimated BRCA1/2 carrier probabilities under each model and compared their discrimination and calibration. The incremental value of using pathology information in BOADICEA was assessed in a subsample of 4928 pedigrees with available data on breast tumour molecular markers oestrogen receptor, progesterone receptor and human epidermal growth factor 2. RESULTS: BRCAPRO (area under receiver operating characteristic curve (AUC)=0.80 (95% CI 0.78 to 0.81)) and BOADICEA (AUC=0.79 (0.78-0.80)), had significantly higher diagnostic accuracy than IBIS and eCLAUS (p<0.001). The AUC increased when pathology information was used in BOADICEA: AUC=0.81 (95% CI 0.80 to 0.83, p<0.001). At carrier thresholds of 10% and 15%, the net reclassification index was +3.9% and +5.4%, respectively, when pathology was included in the model. Overall, calibration was best for BOADICEA and worst for eCLAUS. With eCLAUS, twice as many mutation carriers were predicted than observed. CONCLUSIONS: Our results support the use of BRCAPRO and BOADICEA for decision making regarding genetic testing for BRCA1/2 mutations. However, model calibration has to be improved for this population. eCLAUS should not be used for estimating mutation carrier probabilities in clinical settings. Whenever possible, breast tumour molecular marker information should be taken into account.

Authors: C. Fischer, K. Kuchenbacker, C. Engel, S. Zachariae, K. Rhiem, A. Meindl, N. Rahner, N. Dikow, H. Plendl, I. Debatin, T. Grimm, D. Gadzicki, R. Flottmann, J. Horvath, E. Schrock, F. Stock, D. Schafer, I. Schwaab, C. Kartsonaki, N. Mavaddat, B. Schlegelberger, A. C. Antoniou, R. Schmutzler

Date Published: 9th Apr 2013

Publication Type: Not specified

Human Diseases: hereditary breast ovarian cancer syndrome

Abstract (Expand)

TERT-locus SNPs and leukocyte telomere measures are reportedly associated with risks of multiple cancers. Using the Illumina custom genotyping array iCOGs, we analyzed \sim480 SNPs at the TERT locus in breast (n = 103,991), ovarian (n = 39,774) and BRCA1 mutation carrier (n = 11,705) cancer cases and controls. Leukocyte telomere measurements were also available for 53,724 participants. Most associations cluster into three independent peaks. The minor allele at the peak 1 SNP rs2736108 associates with longer telomeres (P = 5.8 \times 10(-7)), lower risks for estrogen receptor (ER)-negative (P = 1.0 \times 10(-8)) and BRCA1 mutation carrier (P = 1.1 \times 10(-5)) breast cancers and altered promoter assay signal. The minor allele at the peak 2 SNP rs7705526 associates with longer telomeres (P = 2.3 \times 10(-14)), higher risk of low-malignant-potential ovarian cancer (P = 1.3 \times 10(-15)) and greater promoter activity. The minor alleles at the peak 3 SNPs rs10069690 and rs2242652 increase ER-negative (P = 1.2 \times 10(-12)) and BRCA1 mutation carrier (P = 1.6 \times 10(-14)) breast and invasive ovarian (P = 1.3 \times 10(-11)) cancer risks but not via altered telomere length. The cancer risk alleles of rs2242652 and rs10069690, respectively, increase silencing and generate a truncated TERT splice variant.

Authors: Stig E. Bojesen, Karen A. Pooley, Sharon E. Johnatty, Jonathan Beesley, Kyriaki Michailidou, Jonathan P. Tyrer, Stacey L. Edwards, Hilda A. Pickett, Howard C. Shen, Chanel E. Smart, Kristine M. Hillman, Phuong L. Mai, Kate Lawrenson, Michael D. Stutz, Yi Lu, Rod Karevan, Nicholas Woods, Rebecca L. Johnston, Juliet D. French, Xiaoqing Chen, Maren Weischer, Sune F. Nielsen, Melanie J. Maranian, Maya Ghoussaini, Shahana Ahmed, Caroline Baynes, Manjeet K. Bolla, Qin Wang, Joe Dennis, Lesley McGuffog, Daniel Barrowdale, Andrew Lee, Sue Healey, Michael Lush, Daniel C. Tessier, Daniel Vincent, Françis Bacot, Ignace Vergote, Sandrina Lambrechts, Evelyn Despierre, Harvey A. Risch, Anna González-Neira, Mary Anne Rossing, Guillermo Pita, Jennifer A. Doherty, Nuria Alvarez, Melissa C. Larson, Brooke L. Fridley, Nils Schoof, Jenny Chang-Claude, Mine S. Cicek, Julian Peto, Kimberly R. Kalli, Annegien Broeks, Sebastian M. Armasu, Marjanka K. Schmidt, Linde M. Braaf, Boris Winterhoff, Heli Nevanlinna, Gottfried E. Konecny, Diether Lambrechts, Lisa Rogmann, Pascal Guénel, Attila Teoman, Roger L. Milne, Joaquin J. Garcia, Angela Cox, Vijayalakshmi Shridhar, Barbara Burwinkel, Frederik Marme, Rebecca Hein, Elinor J. Sawyer, Christopher A. Haiman, Shan Wang-Gohrke, Irene L. Andrulis, Kirsten B. Moysich, John L. Hopper, Kunle Odunsi, Annika Lindblom, Graham G. Giles, Hermann Brenner, Jacques Simard, Galina Lurie, Peter A. Fasching, Michael E. Carney, Paolo Radice, Lynne R. Wilkens, Anthony Swerdlow, Marc T. Goodman, Hiltrud Brauch, Montserrat Garcia-Closas, Peter Hillemanns, Robert Winqvist, Matthias Dürst, Peter Devilee, Ingo Runnebaum, Anna Jakubowska, Jan Lubinski, Arto Mannermaa, Ralf Butzow, Natalia V. Bogdanova, Thilo Dörk, Liisa M. Pelttari, Wei Zheng, Arto Leminen, Hoda Anton-Culver, Clareann H. Bunker, Vessela Kristensen, Roberta B. Ness, Kenneth Muir, Robert Edwards, Alfons Meindl, Florian Heitz, Keitaro Matsuo, Andreas Du Bois, Anna H. Wu, Philipp Harter, Soo-Hwang Teo, Ira Schwaab, Xiao-Ou Shu, William Blot, Satoyo Hosono, Daehee Kang, Toru Nakanishi, Mikael Hartman, Yasushi Yatabe, Ute Hamann, Beth Y. Karlan, Suleeporn Sangrajrang, Susanne Krüger Kjaer, Valerie Gaborieau, Allan Jensen, Diana Eccles, Estrid Høgdall, Chen-Yang Shen, Judith Brown, Yin Ling Woo, Mitul Shah, Mat Adenan Noor Azmi, Robert Luben, Siti Zawiah Omar, Kamila Czene, Robert A. Vierkant, Børge G. Nordestgaard, Henrik Flyger, Celine Vachon, Janet E. Olson, Xianshu Wang, Douglas A. Levine, Anja Rudolph, Rachel Palmieri Weber, Dieter Flesch-Janys, Edwin Iversen, Stefan Nickels, Joellen M. Schildkraut, Isabel Dos Santos Silva, Daniel W. Cramer, Lorna Gibson, Kathryn L. Terry, Olivia Fletcher, Allison F. Vitonis, C. Ellen van der Schoot, Elizabeth M. Poole, Frans B. L. Hogervorst, Shelley S. Tworoger, Jianjun Liu, Elisa V. Bandera, Jingmei Li, Sara H. Olson, Keith Humphreys, Irene Orlow, Carl Blomqvist, Lorna Rodriguez-Rodriguez, Kristiina Aittomäki, Helga B. Salvesen, Taru A. Muranen, Elisabeth Wik, Barbara Brouwers, Camilla Krakstad, Els Wauters, Mari K. Halle, Hans Wildiers, Lambertus A. Kiemeney, Claire Mulot, Katja K. Aben, Pierre Laurent-Puig, Anne Mvan Altena, Thérèse Truong, Leon F. A. G. Massuger, Javier Benitez, Tanja Pejovic, Jose Ignacio Arias Perez, Maureen Hoatlin, M. Pilar Zamora, Linda S. Cook, Sabapathy P. Balasubramanian, Linda E. Kelemen, Andreas Schneeweiss, Nhu D. Le, Christof Sohn, Angela Brooks-Wilson, Ian Tomlinson, Michael J. Kerin, Nicola Miller, Cezary Cybulski, Brian E. Henderson, Janusz Menkiszak, Fredrick Schumacher, Nicolas Wentzensen, Loic Le Marchand, Hannah P. Yang, Anna Marie Mulligan, Gord Glendon, Svend Aage Engelholm, Julia A. Knight, Claus K. Høgdall, Carmel Apicella, Martin Gore, Helen Tsimiklis, Honglin Song, Melissa C. Southey, Agnes Jager, Ans M. Wvan den Ouweland, Robert Brown, John W. M. Martens, James M. Flanagan, Mieke Kriege, James Paul, Sara Margolin, Nadeem Siddiqui, Gianluca Severi, Alice S. Whittemore, Laura Baglietto, Valerie McGuire, Christa Stegmaier, Weiva Sieh, Heiko Müller, Volker Arndt, France Labrèche, Yu-Tang Gao, Mark S. Goldberg, Gong Yang, Martine Dumont, John R. McLaughlin, Arndt Hartmann, Arif B. Ekici, Matthias W. Beckmann, Catherine M. Phelan, Michael P. Lux, Jenny Permuth-Wey, Bernard Peissel, Thomas A. Sellers, Filomena Ficarazzi, Monica Barile, Argyrios Ziogas, Alan Ashworth, Aleksandra Gentry-Maharaj, Michael Jones, Susan J. Ramus, Nick Orr, Usha Menon, Celeste L. Pearce, Thomas Brüning, Malcolm C. Pike, Yon-Dschun Ko, Jolanta Lissowska, Jonine Figueroa, Jolanta Kupryjanczyk, Stephen J. Chanock, Agnieszka Dansonka-Mieszkowska, Arja Jukkola-Vuorinen, Iwona K. Rzepecka, Katri Pylkäs, Mariusz Bidzinski, Saila Kauppila, Antoinette Hollestelle, Caroline Seynaeve, Rob A. E. M. Tollenaar, Katarzyna Durda, Katarzyna Jaworska, Jaana M. Hartikainen, Veli-Matti Kosma, Vesa Kataja, Natalia N. Antonenkova, Jirong Long, Martha Shrubsole, Sandra Deming-Halverson, Artitaya Lophatananon, Pornthep Siriwanarangsan, Sarah Stewart-Brown, Nina Ditsch, Peter Lichtner, Rita K. Schmutzler, Hidemi Ito, Hiroji Iwata, Kazuo Tajima, Chiu-Chen Tseng, Daniel O. Stram, David van den Berg, Cheng Har Yip, M. Kamran Ikram, Yew-Ching Teh, Hui Cai, Wei Lu, Lisa B. Signorello, Qiuyin Cai, Dong-Young Noh, Keun-Young Yoo, Hui Miao, Philip Tsau-Choong Iau, Yik Ying Teo, James McKay, Charles Shapiro, Foluso Ademuyiwa, George Fountzilas, Chia-Ni Hsiung, Jyh-Cherng Yu, Ming-Feng Hou, Catherine S. Healey, Craig Luccarini, Susan Peock, Dominique Stoppa-Lyonnet, Paolo Peterlongo, Timothy R. Rebbeck, Marion Piedmonte, Christian F. Singer, Eitan Friedman, Mads Thomassen, Kenneth Offit, Thomas v. O. Hansen, Susan L. Neuhausen, Csilla I. Szabo, Ignacio Blanco, Judy Garber, Steven A. Narod, Jeffrey N. Weitzel, Marco Montagna, Edith Olah, Andrew K. Godwin, Drakoulis Yannoukakos, David E. Goldgar, Trinidad Caldes, Evgeny N. Imyanitov, Laima Tihomirova, Banu K. Arun, Ian Campbell, Arjen R. Mensenkamp, Christi J. van Asperen, Kees E. P. van Roozendaal, Hanne Meijers-Heijboer, J. Margriet Collée, Jan C. Oosterwijk, Maartje J. Hooning, Matti A. Rookus, Rob B. van der Luijt, Theo A. Mvan Os, D. Gareth Evans, Debra Frost, Elena Fineberg, Julian Barwell, Lisa Walker, M. John Kennedy, Radka Platte, Rosemarie Davidson, Steve D. Ellis, Trevor Cole, Brigitte Bressac-de Paillerets, Bruno Buecher, Francesca Damiola, Laurence Faivre, Marc Frenay, Olga M. Sinilnikova, Olivier Caron, Sophie Giraud, Sylvie Mazoyer, Valérie Bonadona, Virginie Caux-Moncoutier, Aleksandra Toloczko-Grabarek, Jacek Gronwald, Tomasz Byrski, Amanda B. Spurdle, Bernardo Bonanni, Daniela Zaffaroni, Giuseppe Giannini, Loris Bernard, Riccardo Dolcetti, Siranoush Manoukian, Norbert Arnold, Christoph Engel, Helmut Deissler, Kerstin Rhiem, Dieter Niederacher, Hansjoerg Plendl, Christian Sutter, Barbara Wappenschmidt, Ake Borg, Beatrice Melin, Johanna Rantala, Maria Soller, Katherine L. Nathanson, Susan M. Domchek, Gustavo C. Rodriguez, Ritu Salani, Daphne Gschwantler Kaulich, Muy-Kheng Tea, Shani Shimon Paluch, Yael Laitman, Anne-Bine Skytte, Torben A. Kruse, Uffe Birk Jensen, Mark Robson, Anne-Marie Gerdes, Bent Ejlertsen, Lenka Foretova, Sharon A. Savage, Jenny Lester, Penny Soucy, Karoline B. Kuchenbaecker, Curtis Olswold, Julie M. Cunningham, Susan Slager, Vernon S. Pankratz, Ed Dicks, Sunil R. Lakhani, Fergus J. Couch, Per Hall, Alvaro N. A. Monteiro, Simon A. Gayther, Paul D. P. Pharoah, Roger R. Reddel, Ellen L. Goode, Mark H. Greene, Douglas F. Easton, Andrew Berchuck, Antonis C. Antoniou, Georgia Chenevix-Trench, Alison M. Dunning

Date Published: 1st Apr 2013

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

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