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101 results on '"Gonzalez-Neira, A"'

1. FANCM missense variants and breast cancer risk

Author: Figlioli, G., Billaud, A., Ahearn, T.U., Antonenkova, N.N., Becher, H., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Blok, M.J., Bogdanova, N.V., Bonanni, B., Burwinkel, B., Camp, N.J., Campbell, A., Castelao, J.E., Cessna, M.H., Chanock, S.J., Czene, K., Devilee, P., Dork, T., Engel, C., Eriksson, M., Fasching, P.A., Figueroa, J.D., Gabrielson, M., Gago-Dominguez, M., Garcia-Closas, M., Gonzalez-Neira, A., Grassmann, F., Guenel, P., Gundert, M., Hadjisavvas, A., Hahnen, E., Hall, P., Hamann, U., Harrington, P.A., He, W., Hillemanns, P., Hollestelle, A., Hooning, M.J., Hoppe, R., Howell, A., Humphreys, K., Jager, A., Jakubowska, A., Khusnutdinova, E.K., Ko, Y.D., Kristensen, V.N., Lindblom, A., Peterlongo, Paolo, MUMC+: DA KG Lab Specialisten (9), RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Lab Centraal Lab (9), and Medical Oncology
Subjects: Manchester Cancer Research Centre, SDG 3 - Good Health and Well-being, ResearchInstitutes_Networks_Beacons/mcrc, Framework, Genetics, Pathogenicity, C.5791c-greater-than-t, Gene, Genetics (clinical)
Abstract: Evidence from literature, including the BRIDGES study, indicates that germline protein truncating variants (PTVs) in FANCM confer moderately increased risk of ER-negative and triple-negative breast cancer (TNBC), especially for women with a family history of the disease. Association between FANCM missense variants (MVs) and breast cancer risk has been postulated. In this study, we further used the BRIDGES study to test 689 FANCM MVs for association with breast cancer risk, overall and in ER-negative and TNBC subtypes, in 39,885 cases (7566 selected for family history) and 35,271 controls of European ancestry. Sixteen common MVs were tested individually; the remaining rare 673 MVs were tested by burden analyses considering their position and pathogenicity score. We also conducted a meta-analysis of our results and those from published studies. We did not find evidence for association for any of the 16 variants individually tested. The rare MVs were significantly associated with increased risk of ER-negative breast cancer by burden analysis comparing familial cases to controls (OR = 1.48; 95% CI 1.07–2.04; P = 0.017). Higher ORs were found for the subgroup of MVs located in functional domains or predicted to be pathogenic. The meta-analysis indicated that FANCM MVs overall are associated with breast cancer risk (OR = 1.22; 95% CI 1.08–1.38; P = 0.002). Our results support the definition from previous analyses of FANCM as a moderate-risk breast cancer gene and provide evidence that FANCM MVs could be low/moderate risk factors for ER-negative and TNBC subtypes. Further genetic and functional analyses are necessary to clarify better the increased risks due to FANCM MVs.
Published: 2023

2. Supplementary Grant Support from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Grant Support
Published: 2023

3. Supplementary Methods, Figures S1 - S3 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Figure S1. LocusZoom regional association plots for the seven new cross-cancer loci that were > 1 Mb from known index SNPs. Supplementary Figure S2A-B. Box plots showing eQTL associations between (A) rs9375701 and L3MBTL3 in normal breast and prostate tissues and (B) rs8037137 and RCCD1 in normal breast and ovarian tissues. Supplementary Figure S3. Interactions between BCL2L11 and the 32 Biocarta "Death Pathway" genes. Interactions were identified using the GeneMania server. Circles contain gene names, lines represent interactions, and the color of the line indicates a specific type of interaction as listed in the legend.
Published: 2023

4. Supplementary Tables S1 - S10 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Table S1. Known risk loci for each cancer. Supplementary Table S2. Regions where known index SNPs for at least two of the three cancers lie within 1 Mb of each other. Supplementary Table S3. Full results from the meta-analysis of breast, ovarian, and prostate cancer showing the 18 independent loci associated at P < 10-8 with the same direction of effect across all three cancers. Supplementary Table S4. Conditional analysis of the rs1469713 (breast-ovarian-prostate cancer) signal, conditioning on the rs4808801 (breast cancer-specific) signal that was < 1 Mb away using GCTA software. Supplementary Table S5. Most significantly-associated genotyped SNP at new loci where index SNPs were imputed. Supplementary Table S6. Expression QTL analysis results from the GTEx Portal for the new cross-cancer risk loci listed in main Table 2. Supplementary Table S7. SNPs with P < 10-8 at the new cross-cancer risk loci listed in main Table 2 that overlap predicted enhancers in at least two cell types. Supplementary Table S8. HaploReg and non-coding RNA annotation of variants with P < 10-8 at the new cross-cancer risk loci listed in main Table 2. Supplementary Table S9. Eight of the 32 genes involved in induction of apoptosis through DR3 and DR4/5 Death Receptors (MSigDB: Biocarta "Death Pathway") a that were < 1 Mb away from an independent P < 10-5 index SNP in the 3-cancer meta-analysis. Supplementary Table S10. INRICH pathway analysis results for pathways with empirical P < 0.05. Apoptosis-related pathways containing BCL2L11 are shaded.
Published: 2023

5. Supplementary Tables 1 - 4 from Common Breast Cancer Susceptibility Variants in LSP1 and RAD51L1 Are Associated with Mammographic Density Measures that Predict Breast Cancer Risk

Author: Isabel dos-Santos-Silva, John L. Hopper, V. Shane Pankratz, Anna H. Wu, Tina Audley, Kamila Czene, Louise Eriksson, JianJun Liu, Edyta Reszka, Agnieszka Bukowska, Beata Peplonska, Ewa Wesolowska, Jolanta Lissowska, Jonine D. Figuero, Norman F. Boyd, Julia A. Knight, Irene L. Andrulis, David J. Hunter, Susan E. Hankinson, Sara Lindström, Anne-Lise Børresen-Dale, Vessela N. Kristensen, Inger Torhild Gram, Grethe I.G. Alnaes, Margarethe Biong, Valeria A. McCormack, Nichola Johnson, Kate Walker, Christopher A. Haiman, Gertraud Maskarinec, Christy Woolcott, Laurence N. Kolonel, Loic Le Marchand, Melissa C. Southey, Kavitha Krishnan, Laura Baglietto, Graham G. Giles, Fergus J. Couch, Gek Kwan-Lim, Martin O. Leach, Rosalind A. Eeles, Susan J. Ramus, Simon A. Gayther, Eunjung Lee, Giske Ursin, Kay-Tee Khaw, Ruth J.F. Loos, Nicholas J. Wareham, Ruth M.L. Warren, Robert N. Luben, Deborah J. Thompson, Douglas F. Easton, Jajini S. Varghese, Jean Leyland, Judith Brown, Petra H.M. Peeters, N. Charlotte Onland-Moret, Mariëtte Lokate, Carla H. van Gils, Javier Benitez, Anna Gonzalez-Neira, Pablo Fernández-Navarro, Marina Pollan, Matthias W. Beckmann, Katharina Heusinger, Sebastian M. Jud, Gretchen L. Gierach, Fabrice Odefrey, Carmel Apicella, Jennifer Stone, Jingmei Li, Rulla M. Tamimi, Per Hall, Peter A. Fasching, Christopher G. Scott, and Celine M. Vachon
Abstract: PDF file, 120KB, Supplemental Table 1. Study Descriptions, Design and Sample Size for 19 DENSNP Studies. Caucasian Women Only. Supplemental Table 2. Source and Timing of Reproductive and Anthropometric Variable Collection. Supplemental Table 3. Description of Mammogram View, Side, Film Digitizer and Density Estimation Software for DENSNP Studies. Supplemental Table 4. Genotyping Platform and SNP Call Rates Performed by Each Study.
Published: 2023

6. Supplementary Table 5 from Common Breast Cancer Susceptibility Variants in LSP1 and RAD51L1 Are Associated with Mammographic Density Measures that Predict Breast Cancer Risk

Author: Isabel dos-Santos-Silva, John L. Hopper, V. Shane Pankratz, Anna H. Wu, Tina Audley, Kamila Czene, Louise Eriksson, JianJun Liu, Edyta Reszka, Agnieszka Bukowska, Beata Peplonska, Ewa Wesolowska, Jolanta Lissowska, Jonine D. Figuero, Norman F. Boyd, Julia A. Knight, Irene L. Andrulis, David J. Hunter, Susan E. Hankinson, Sara Lindström, Anne-Lise Børresen-Dale, Vessela N. Kristensen, Inger Torhild Gram, Grethe I.G. Alnaes, Margarethe Biong, Valeria A. McCormack, Nichola Johnson, Kate Walker, Christopher A. Haiman, Gertraud Maskarinec, Christy Woolcott, Laurence N. Kolonel, Loic Le Marchand, Melissa C. Southey, Kavitha Krishnan, Laura Baglietto, Graham G. Giles, Fergus J. Couch, Gek Kwan-Lim, Martin O. Leach, Rosalind A. Eeles, Susan J. Ramus, Simon A. Gayther, Eunjung Lee, Giske Ursin, Kay-Tee Khaw, Ruth J.F. Loos, Nicholas J. Wareham, Ruth M.L. Warren, Robert N. Luben, Deborah J. Thompson, Douglas F. Easton, Jajini S. Varghese, Jean Leyland, Judith Brown, Petra H.M. Peeters, N. Charlotte Onland-Moret, Mariëtte Lokate, Carla H. van Gils, Javier Benitez, Anna Gonzalez-Neira, Pablo Fernández-Navarro, Marina Pollan, Matthias W. Beckmann, Katharina Heusinger, Sebastian M. Jud, Gretchen L. Gierach, Fabrice Odefrey, Carmel Apicella, Jennifer Stone, Jingmei Li, Rulla M. Tamimi, Per Hall, Peter A. Fasching, Christopher G. Scott, and Celine M. Vachon
Abstract: PDF file, 20KB, Supplemental Table 5a. Associations of Common Breast Cancer Susceptibility Variants with Adjusted Percent Mammographic Density. Supplemental Table 5b. Associations of Common Breast Cancer Susceptibility Variants with Adjusted Mammographic Dense Area. Supplemental Table 5c. Associations of Common Breast Cancer Susceptibility Variants with Adjusted Mammographic Non Dense Area.
Published: 2023

7. Supplementary Table 6 from Common Breast Cancer Susceptibility Variants in LSP1 and RAD51L1 Are Associated with Mammographic Density Measures that Predict Breast Cancer Risk

Author: Isabel dos-Santos-Silva, John L. Hopper, V. Shane Pankratz, Anna H. Wu, Tina Audley, Kamila Czene, Louise Eriksson, JianJun Liu, Edyta Reszka, Agnieszka Bukowska, Beata Peplonska, Ewa Wesolowska, Jolanta Lissowska, Jonine D. Figuero, Norman F. Boyd, Julia A. Knight, Irene L. Andrulis, David J. Hunter, Susan E. Hankinson, Sara Lindström, Anne-Lise Børresen-Dale, Vessela N. Kristensen, Inger Torhild Gram, Grethe I.G. Alnaes, Margarethe Biong, Valeria A. McCormack, Nichola Johnson, Kate Walker, Christopher A. Haiman, Gertraud Maskarinec, Christy Woolcott, Laurence N. Kolonel, Loic Le Marchand, Melissa C. Southey, Kavitha Krishnan, Laura Baglietto, Graham G. Giles, Fergus J. Couch, Gek Kwan-Lim, Martin O. Leach, Rosalind A. Eeles, Susan J. Ramus, Simon A. Gayther, Eunjung Lee, Giske Ursin, Kay-Tee Khaw, Ruth J.F. Loos, Nicholas J. Wareham, Ruth M.L. Warren, Robert N. Luben, Deborah J. Thompson, Douglas F. Easton, Jajini S. Varghese, Jean Leyland, Judith Brown, Petra H.M. Peeters, N. Charlotte Onland-Moret, Mariëtte Lokate, Carla H. van Gils, Javier Benitez, Anna Gonzalez-Neira, Pablo Fernández-Navarro, Marina Pollan, Matthias W. Beckmann, Katharina Heusinger, Sebastian M. Jud, Gretchen L. Gierach, Fabrice Odefrey, Carmel Apicella, Jennifer Stone, Jingmei Li, Rulla M. Tamimi, Per Hall, Peter A. Fasching, Christopher G. Scott, and Celine M. Vachon
Abstract: PDF file, 133KB, Supplemental Table 6a. Per-Allele Association (SE) of Breast Cancer Susceptibility Variants with Mammographic Percent Density Stratifying by Case Status, BMI, Menopausal Status and PMH Use. Supplemental Table 6b. Per-Allele Associations (SE) of Breast Cancer Susceptibility Variants with Adjusted Mammographic Dense Area Stratifying by Case Status, BMI Menopausal Status and PMH Use. Supplemental Table 6c. Per-Allele Associations (SE) of Breast Cancer Susceptibility Variants with Adjusted Mammographic Non Dense Area Stratifying by Case Status, BMI Menopausal Status and PMH Use.
Published: 2023

8. Data from Common Breast Cancer Susceptibility Variants in LSP1 and RAD51L1 Are Associated with Mammographic Density Measures that Predict Breast Cancer Risk

Author: Isabel dos-Santos-Silva, John L. Hopper, V. Shane Pankratz, Anna H. Wu, Tina Audley, Kamila Czene, Louise Eriksson, JianJun Liu, Edyta Reszka, Agnieszka Bukowska, Beata Peplonska, Ewa Wesolowska, Jolanta Lissowska, Jonine D. Figuero, Norman F. Boyd, Julia A. Knight, Irene L. Andrulis, David J. Hunter, Susan E. Hankinson, Sara Lindström, Anne-Lise Børresen-Dale, Vessela N. Kristensen, Inger Torhild Gram, Grethe I.G. Alnaes, Margarethe Biong, Valeria A. McCormack, Nichola Johnson, Kate Walker, Christopher A. Haiman, Gertraud Maskarinec, Christy Woolcott, Laurence N. Kolonel, Loic Le Marchand, Melissa C. Southey, Kavitha Krishnan, Laura Baglietto, Graham G. Giles, Fergus J. Couch, Gek Kwan-Lim, Martin O. Leach, Rosalind A. Eeles, Susan J. Ramus, Simon A. Gayther, Eunjung Lee, Giske Ursin, Kay-Tee Khaw, Ruth J.F. Loos, Nicholas J. Wareham, Ruth M.L. Warren, Robert N. Luben, Deborah J. Thompson, Douglas F. Easton, Jajini S. Varghese, Jean Leyland, Judith Brown, Petra H.M. Peeters, N. Charlotte Onland-Moret, Mariëtte Lokate, Carla H. van Gils, Javier Benitez, Anna Gonzalez-Neira, Pablo Fernández-Navarro, Marina Pollan, Matthias W. Beckmann, Katharina Heusinger, Sebastian M. Jud, Gretchen L. Gierach, Fabrice Odefrey, Carmel Apicella, Jennifer Stone, Jingmei Li, Rulla M. Tamimi, Per Hall, Peter A. Fasching, Christopher G. Scott, and Celine M. Vachon
Abstract: Background: Mammographic density adjusted for age and body mass index (BMI) is a heritable marker of breast cancer susceptibility. Little is known about the biologic mechanisms underlying the association between mammographic density and breast cancer risk. We examined whether common low-penetrance breast cancer susceptibility variants contribute to interindividual differences in mammographic density measures.Methods: We established an international consortium (DENSNP) of 19 studies from 10 countries, comprising 16,895 Caucasian women, to conduct a pooled cross-sectional analysis of common breast cancer susceptibility variants in 14 independent loci and mammographic density measures. Dense and nondense areas, and percent density, were measured using interactive-thresholding techniques. Mixed linear models were used to assess the association between genetic variants and the square roots of mammographic density measures adjusted for study, age, case status, BMI, and menopausal status.Results: Consistent with their breast cancer associations, the C-allele of rs3817198 in LSP1 was positively associated with both adjusted dense area (P = 0.00005) and adjusted percent density (P = 0.001), whereas the A-allele of rs10483813 in RAD51L1 was inversely associated with adjusted percent density (P = 0.003), but not with adjusted dense area (P = 0.07).Conclusion: We identified two common breast cancer susceptibility variants associated with mammographic measures of radiodense tissue in the breast gland.Impact: We examined the association of 14 established breast cancer susceptibility loci with mammographic density phenotypes within a large genetic consortium and identified two breast cancer susceptibility variants, LSP1-rs3817198 and RAD51L1-rs10483813, associated with mammographic measures and in the same direction as the breast cancer association. Cancer Epidemiol Biomarkers Prev; 21(7); 1156–. ©2012 AACR.
Published: 2023

9. Comprehensive molecular analysis of immortalization hallmarks in thyroid cancer reveals new prognostic markers

Author: Cristina Montero‐Conde, Luis Javier Leandro‐García, Ángel M. Martínez‐Montes, Paula Martínez, Francisco J. Moya, Rocío Letón, Eduardo Gil, Natalia Martínez‐Puente, Sonsoles Guadalix, Maria Currás‐Freixes, Laura García‐Tobar, Carles Zafon, Mireia Jordà, Garcilaso Riesco‐Eizaguirre, Patricia González‐García, María Monteagudo, Rafael Torres‐Pérez, Veronika Mancikova, Sergio Ruiz‐Llorente, Manuel Pérez‐Martínez, Guillermo Pita, Juan Carlos Galofré, Anna Gonzalez‐Neira, Alberto Cascón, Cristina Rodríguez‐Antona, Diego Megías, María A. Blasco, Eduardo Caleiras, Sandra Rodríguez‐Perales, Mercedes Robledo, Institut Català de la Salut, [Montero-Conde C] Hereditary Endocrine Cancer Group, Human Cancer Genetics Program, Spanish National Cancer Research Centre (CNIO), Madrid, Spain. Biomedical Research Networking Centre on Rare Diseases (CIBERER), Institute of Health Carlos III, Madrid, Spain. [Leandro-García LJ, Martínez-Montes ÁM, Letón R] Hereditary Endocrine Cancer Group, Human Cancer Genetics Program, Spanish National Cancer Research Centre (CNIO), Madrid, Spain. [Martínez P] Telomeres and Telomerase Group, Molecular Oncology Program, Spanish National Cancer Research Centre (CNIO), Madrid, Spain. [Moya FJ] Molecular Cytogenetics Unit, Human Cancer Genetics Program, Spanish National Cancer Research Center (CNIO), Madrid, Spain. [Zafon C] Servei d’Endocrinologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain, and Vall d'Hebron Barcelona Hospital Campus
Subjects: 5p-end FISH, Telòmer, Otros calificadores::Otros calificadores::/genética [Otros calificadores], Genetic Phenomena::Genetic Structures::Chromosome Structures::Telomere [PHENOMENA AND PROCESSES], Medicine (miscellaneous), TERT promoter methylation, Telomere, Prognosis, Tiroide - Càncer - Prognosi, TERC, telomere shortening, Tiroide - Càncer - Aspectes genètics, Other subheadings::Other subheadings::/genetics [Other subheadings], fenómenos genéticos::estructuras genéticas::estructuras cromosómicas::telómero [FENÓMENOS Y PROCESOS], Molecular Medicine, Humans, subtelomeric gene expression, Thyroid Neoplasms, TERT promoter mutation, Diagnosis::Prognosis [ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT], Telomerase, Neoplasms::Neoplasms by Site::Endocrine Gland Neoplasms::Thyroid Neoplasms [DISEASES], diagnóstico::pronóstico [TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS], In Situ Hybridization, Fluorescence, neoplasias::neoplasias por localización::neoplasias de las glándulas endocrinas::neoplasias de la tiroides [ENFERMEDADES]
Abstract: TERT promoter mutation; Subtelomeric gene expression; Telomere shortening Mutació del promotor TERT; Expressió gènica subtelomèrica; Escurçament dels telòmers Mutación del promotor TERT; Expresión génica subtelomérica; Acortamiento de los telómeros Background Comprehensive molecular studies on tumours are needed to delineate immortalization process steps and identify sensitive prognostic biomarkers in thyroid cancer. Methods and Results In this study, we extensively characterize telomere-related alterations in a series of 106 thyroid tumours with heterogeneous clinical outcomes. Using a custom-designed RNA-seq panel, we identified five telomerase holoenzyme-complex genes upregulated in clinically aggressive tumours compared to tumours from long-term disease-free patients, being TERT and TERC denoted as independent prognostic markers by multivariate regression model analysis. Characterization of alterations related to TERT re-expression revealed that promoter mutations, methylation and/or copy gains exclusively co-occurred in clinically aggressive tumours. Quantitative-FISH (fluorescence in situ hybridization) analysis of telomere lengths showed a significant shortening in these carcinomas, which matched with a high proliferative rate measured by Ki-67 immunohistochemistry. RNA-seq data analysis indicated that short-telomere tumours exhibit an increased transcriptional activity in the 5-Mb-subtelomeric regions, site of several telomerase-complex genes. Gene upregulation enrichment was significant for specific chromosome-ends such as the 5p, where TERT is located. Co-FISH analysis of 5p-end and TERT loci showed a more relaxed chromatin configuration in short telomere-length tumours compared to normal telomere-length tumours. Conclusions Overall, our findings support that telomere shortening leads to a 5p subtelomeric region reorganization, facilitating the transcription and accumulation of alterations at TERT-locus. This work was supported by Projects PI17/01796 and PI20/01169 [Instituto de Salud Carlos III (ISCIII), Acción Estratégica en Salud, cofinanciado a través del Fondo Europeo de Desarrollo Regional (FEDER)] and Comunidad de Madrid (S2017/BMD-3724; TIRONET2-CM) to MR. CM-C was partially supported by a grant from the Fundación Científica Asociación Española Contra el Cáncer (AIO15152858 MONT). LJL-G was supported both by the Banco Santander Foundation – CNIO Fellowship and by ‘la Caixa’ Foundation (ID 100010434), under agreement LCF/BQ/PI20/11760011. AMM-M was supported by CAM (S2017/BMD-3724; TIRONET2-CM). MM was supported by the Ministerio de Ciencia, Innovación y Universidades (Spain; ‘Formación del Profesorado Universitario – FPU’ fellowship (FPU18/00064)). We thank CNIO Biobank for their support with the frozen specimens processing. We thank the Spanish National Tumor Bank Network (RD09/0076/00047) for the support in obtaining tumour samples, and all patients, physicians and tumour biobanks involved in the study.
Published: 2022

10. A Comprehensive Analysis of 21 Actionable Pharmacogenes in the Spanish Population: From Genetic Characterisation to Clinical Impact

Author: Rocio Nunez-Torres, Guillermo Pita, María Peña-Chilet, Daniel López-López, Jorge Zamora, Gema Roldán, Belén Herráez, Nuria Álvarez, María Rosario Alonso, Joaquín Dopazo, and Anna Gonzalez-Neira
Subjects: Pharmaceutical Science, pharmacogenetics, pharmacogenomics, Spanish population, pharmacogenetics characterisation, genotyping, sequencing, population, database
Abstract: The implementation of pharmacogenetics (PGx) is a main milestones of precision medicine nowadays in order to achieve safer and more effective therapies. Nevertheless, the implementation of PGx diagnostics is extremely slow and unequal worldwide, in part due to a lack of ethnic PGx information. We analysed genetic data from 3006 Spanish individuals obtained by different high-throughput (HT) techniques. Allele frequencies were determined in our population for the main 21 actionable PGx genes associated with therapeutical changes. We found that 98% of the Spanish population harbours at least one allele associated with a therapeutical change and, thus, there would be a need for a therapeutical change in a mean of 3.31 of the 64 associated drugs. We also identified 326 putative deleterious variants that were not previously related with PGx in 18 out of the 21 main PGx genes evaluated and a total of 7122 putative deleterious variants for the 1045 PGx genes described. Additionally, we performed a comparison of the main HT diagnostic techniques, revealing that after whole genome sequencing, genotyping with the PGx HT array is the most suitable solution for PGx diagnostics. Finally, all this information was integrated in the Collaborative Spanish Variant Server to be available to and updated by the scientific community.
Published: 2023

11. Breast Cancer Risk Genes — Association Analysis in More than 113,000 Women

Author: Dorling, L., Carvalho, S., Allen, J., Gonzalez-Neira, A., Luccarini, C., Wahlstrom, C., Pooley, K.A., Parsons, M.T., Fortuno, C., Wang, Q., Bolla, M.K., Dennis, J., Keeman, R., Alonso, M.R., Alvarez, N., Herraez, B., Fernandez, V., Nunez-Torres, R., Osorio, A., Valcich, J., Li, M., Torngren, T., Harrington, P.A., Baynes, C., Conroy, D.M., Decker, B., Fachal, L., Mavaddat, N., Ahearn, T., Aittomaki, K., Antonenkova, N.N., Arnold, N., Arveux, P., Ausems, M.G.E.M., Auvinen, P., Becher, H., Beckmann, M.W., Behrens, S., Bermisheva, M., Bialkowska, K., Blomqvist, C., Bogdanova, N.V., Bogdanova-Markov, N., Bojesen, S.E., Bonanni, B., Borresen-Dale, A.L., Brauch, H., Bremer, M., Briceno, I., Bruning, T., Burwinkel, B., Cameron, D.A., Camp, N.J., Campbell, A., Carracedo, A., Castelao, J.E., Cessna, M.H., Chanock, S.J., Christiansen, H., Collee, J.M., Cordina-Duverger, E., Cornelissen, S., Czene, K., Dork, T., Ekici, A.B., Engel, C., Eriksson, M., Fasching, P.A., Figueroa, J., Flyger, H., Forsti, A., Gabrielson, M., Gago-Dominguez, M., Georgoulias, V., Gil, F., Giles, G.G., Glendon, G., Garcia, E.B.G., Alnaes, G.I.G., Guenel, P., Hadjisavvas, A., Haeberle, L., Hahnen, E., Hall, P., Hamann, U., Harkness, E.F., Hartikainen, J.M., Hartman, M., He, W., Heemskerk-Gerritsen, B.A.M., Hillemanns, P., Hogervorst, F.B.L., Hollestelle, A., Ho, W.K., Hooning, M.J., Howell, A., Humphreys, K., Idris, F., Jakubowska, A., Jung, A., Kapoor, P.M., Kerin, M.J., Khusnutdinova, E., Kim, S.W., Ko, Y.D., Kosma, V.M., Kristensen, V.N., Kyriacou, K., Lakeman, I.M.M., Lee, J.W., Lee, M.H., Li, J.M., Lindblom, A., W.Y. lo, Loizidou, M.A., Lophatananon, A., Lubinski, J., MacInnis, R.J., Madsen, M.J., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Maurer, T., Mavroudis, D., McLean, C., Meindl, A., Mensenkamp, A.R., Michailidou, K., Miller, N., Taib, N.A.M., Muir, K., Mulligan, A.M., Nevanlinna, H., Newman, W.G., Nordestgaard, B.G., Ng, P.S., Oosterwijk, J.C., Park, S.K., Park-Simon, T.W., Perez, J.I.A., Peterlongo, P., Porteous, D.J., Prajzendanc, K., Prokofyeva, D., Radice, P., Rashid, M.U., Rhenius, V., Rookus, M.A., Rudiger, T., Saloustros, E., Sawyer, E.J., Schmutzler, R.K., Schneeweiss, A., Schurmann, P., Shah, M., Sohn, C., Southey, M.C., Surowy, H., Suvanto, M., Thanasitthichai, S., Tomlinson, I., Torres, D., Truong, T., Tzardi, M., Valova, Y., Asperen, C.J. van, Dam, R.M. van, Ouweland, A.M.W. van den, Kolk, L.E. van der, Veen, E.M. van, Wendt, C., Williams, J.A., Yang, X.H.R., Yoon, S.Y., Zamora, M.P., Evans, D.G., Hoya, M. de la, Simard, J., Antoniou, A.C., Borg, A., Andrulis, I.L., Chang-Claude, J., Garcia-Closas, M., Chenevix-Trench, G., Milne, R.L., Pharoah, P.D.P., Schmidt, M.K., Spurdle, A.B., Vreeswijk, M.P.G., Benitez, J., Dunning, A.M., Kvist, A., Teo, S.H., Devilee, P., Easton, D.F., Breast Canc Assoc Consortium, Erasmus MC other, Medical Oncology, Clinical Genetics, Keeman, Renske [0000-0002-5452-9933], Decker, Brennan [0000-0003-4516-7421], Eriksson, Mikael [0000-0001-8135-4270], Martinez, Maria Elena [0000-0002-6728-1834], Surowy, Harald [0000-0002-3595-9188], Pharoah, Paul DP [0000-0001-8494-732X], Apollo - University of Cambridge Repository, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Targeted Gynaecologic Oncology (TARGON), RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Polikliniek (9), and Klinische Genetica
Subjects: Adult, Risk, Oncology, medicine.medical_specialty, Adolescent, PALB2, Genetic counseling, Genes, BRCA2, Mutation, Missense, Genes, BRCA1, Estrogen receptor, Breast Neoplasms, 030204 cardiovascular system & hematology, OVARIAN-CANCER, Article, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, Odds Ratio, medicine, Humans, Genetic Predisposition to Disease, 030212 general & internal medicine, skin and connective tissue diseases, CHEK2, Aged, Genetic testing, Genetic association, Aged, 80 and over, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], medicine.diagnostic_test, MUTATIONS, business.industry, Age Factors, Genetic Variation, Sequence Analysis, DNA, General Medicine, Odds ratio, Middle Aged, BRCA1, medicine.disease, 3. Good health, Logistic Models, Female, business
Abstract: BACKGROUNDGenetic testing for breast cancer susceptibility is widely used, but for many genes,evidence of an association with breast cancer is weak, underlying risk estimatesare imprecise, and reliable subtype-specific risk estimates are lacking.METHODSWe used a panel of 34 putative susceptibility genes to perform sequencing onsamples from 60,466 women with breast cancer and 53,461 controls. In separateanalyses for protein-truncating variants and rare missense variants in these genes,we estimated odds ratios for breast cancer overall and tumor subtypes. We evaluatedmissense-variant associations according to domain and classification of pathogenicity.RESULTSProtein-truncating variants in 5 genes (ATM, BRCA1, BRCA2, CHEK2, and PALB2)were associated with a risk of breast cancer overall with a P value of less than0.0001. Protein-truncating variants in 4 other genes (BARD1, RAD51C, RAD51D,and TP53) were associated with a risk of breast cancer overall with a P value ofless than 0.05 and a Bayesian false-discovery probability of less than 0.05. Forprotein-truncating variants in 19 of the remaining 25 genes, the upper limit ofthe 95% confidence interval of the odds ratio for breast cancer overall was lessthan 2.0. For protein-truncating variants in ATM and CHEK2, odds ratios werehigher for estrogen receptor (ER)–positive disease than for ER-negative disease;for protein-truncating variants in BARD1, BRCA1, BRCA2, PALB2, RAD51C, andRAD51D, odds ratios were higher for ER-negative disease than for ER-positivedisease. Rare missense variants (in aggregate) in ATM, CHEK2, and TP53 wereassociated with a risk of breast cancer overall with a P value of less than 0.001.For BRCA1, BRCA2, and TP53, missense variants (in aggregate) that would be classified as pathogenic according to standard criteria were associated with a riskof breast cancer overall, with the risk being similar to that of protein-truncatingvariants.CONCLUSIONSThe results of this study define the genes that are most clinically useful for inclusion on panels for the prediction of breast cancer risk, as well as provide estimatesof the risks associated with protein-truncating variants, to guide genetic counseling. (Funded by European Union Horizon 2020 programs and others.)
Published: 2021

12. Breast cancer risks associated with missense variants in breast cancer susceptibility genes

Author: Dorling, L., Carvalho, S., Allen, J., Parsons, M.T., Fortuno, C., Gonzalez-Neira, A., Heijl, S.M., Adank, M.A., Ahearn, T.U., Andrulis, I.L., Auvinen, P., Becher, H., Beckmann, M.W., Behrens, S., Bermisheva, M., Bogdanova, N.V., Bojesen, S.E., Bolla, M.K., Bremer, M., Briceno, I., Camp, N.J., Campbell, A., Castelao, J.E., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Collee, J.M., Czene, K., Dennis, J., Dork, T., Eriksson, M., Evans, D.G., Fasching, P.A., Figueroa, J., Flyger, H., Gabrielson, M., Gago-Dominguez, M., Garcia-Closas, M., Giles, G.G., Glendon, G., Guenel, P., Gundert, M., Hadjisavvas, A., Hahnen, E., Hall, P., Hamann, U., Harkness, E.F., Hartman, M., Hogervorst, F.B.L., Hollestelle, A., Hoppe, R., Howell, A., Jakubowska, A., Jung, A., Khusnutdinova, E., Kim, S.W., Ko, Y.D., Kristensen, V.N., Lakeman, I.M.M., Li, J.M., Lindblom, A., Loizidou, M.A., Lophatananon, A., Lubinski, J., Luccarini, C., Madsen, M.J., Mannermaa, A., Manoochehri, M., Margolin, S., Mavroudis, D., Milne, R.L., Taib, N.A.M., Muir, K., Nevanlinna, H., Newman, W.G., Oosterwijk, J.C., Park, S.K., Peterlongo, P., Radice, P., Saloustros, E., Sawyer, E.J., Schmutzler, R.K., Shah, M.T., Sim, X., Southey, M.C., Surowy, H., Suvanto, M., Tomlinson, I., Torres, D., Truong, T., Asperen, C.J. van, Waltes, R., Wang, Q., Yang, X.H.R., Pharoah, P.D.P., Schmidt, M.K., Benitez, J., Vroling, B., Dunning, A.M., Teo, S.H., Kvist, A., Hoya, M. de la, Devilee, P., Spurdle, A.B., Vreeswijk, M.P.G., Easton, D.F., NBCS Collaborators, KConFab Investigators, SGBCC Investigators, Clinical Genetics, Medical Oncology, Apollo - University of Cambridge Repository, Dennis, Joe [0000-0003-4591-1214], Pharoah, Paul [0000-0001-8494-732X], Easton, Douglas [0000-0003-2444-3247], Targeted Gynaecologic Oncology (TARGON), Damage and Repair in Cancer Development and Cancer Treatment (DARE), University of Helsinki, Clinicum, Department of Obstetrics and Gynecology, HUS Gynecology and Obstetrics, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Wellcome Trust, WT: 633784, v203477/Z/16/Z, Horizon 2020 Framework Programme, H2020, Cancer Research UK, CRUK: C1287/A16563, The sequencing and analysis for this project was funded by the European Union’s Horizon 2020 Research and Innovation Programme (BRIDGES: grant number 634935) and the Wellcome Trust [grant no: v203477/Z/16/Z]. BCAC co-ordination was additionally funded by the European Union’s Horizon 2020 Research and Innovation Programme (BRIDGES: grant number 634935, BCAST: grant number 633784) and by Cancer Research UK [C1287/A16563]. Study specific funding is given in the Additional Note., and HAL UVSQ, Équipe
Subjects: Mutation, Missense, Breast Neoplasms, [SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics, Breast Neoplasms/genetics, Breast Cancer, Genetic Epidemiology, Missense Variants, Risk Prediction, CLASSIFICATION, Breast cancer, Missense variants, SDG 3 - Good Health and Well-being, 3123 Gynaecology and paediatrics, SEQUENCE VARIANTS, Genetics, Humans, Genetic Predisposition to Disease, Genetic epidemiology, ddc:610, skin and connective tissue diseases, Molecular Biology, Genetics (clinical), MUTATIONS, Research, UNKNOWN CLINICAL-SIGNIFICANCE, 1184 Genetics, developmental biology, physiology, FRAMEWORK, BRCA1, Risk prediction, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, SUBSTITUTIONS, Case-Control Studies, Mutation, Molecular Medicine, Female, Missense, PATHOGENICITY
Abstract: Background Protein truncating variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2 are associated with increased breast cancer risk, but risks associated with missense variants in these genes are uncertain. Methods We analyzed data on 59,639 breast cancer cases and 53,165 controls from studies participating in the Breast Cancer Association Consortium BRIDGES project. We sampled training (80%) and validation (20%) sets to analyze rare missense variants in ATM (1146 training variants), BRCA1 (644), BRCA2 (1425), CHEK2 (325), and PALB2 (472). We evaluated breast cancer risks according to five in silico prediction-of-deleteriousness algorithms, functional protein domain, and frequency, using logistic regression models and also mixture models in which a subset of variants was assumed to be risk-associated. Results The most predictive in silico algorithms were Helix (BRCA1, BRCA2 and CHEK2) and CADD (ATM). Increased risks appeared restricted to functional protein domains for ATM (FAT and PIK domains) and BRCA1 (RING and BRCT domains). For ATM, BRCA1, and BRCA2, data were compatible with small subsets (approximately 7%, 2%, and 0.6%, respectively) of rare missense variants giving similar risk to those of protein truncating variants in the same gene. For CHEK2, data were more consistent with a large fraction (approximately 60%) of rare missense variants giving a lower risk (OR 1.75, 95% CI (1.47–2.08)) than CHEK2 protein truncating variants. There was little evidence for an association with risk for missense variants in PALB2. The best fitting models were well calibrated in the validation set. Conclusions These results will inform risk prediction models and the selection of candidate variants for functional assays and could contribute to the clinical reporting of gene panel testing for breast cancer susceptibility.
Published: 2022

13. Substrate pH Influences the Nutrient Absorption and Rhizosphere Microbiome of Huanglongbing-Affected Grapefruit Plants

Author: Ferrarezi, Rhuanito Soranz, Lin, Xiongjie, Gonzalez Neira, Andres C., Tabay Zambon, Flavia, Hu, Hanqing, Wang, Xianda, Huang, Jing-Hao, and Fan, Guocheng
Subjects: Plant Science
Abstract: The substrate pH directly affects nutrient availability in the rhizosphere and nutrient uptake by plants. Macronutrients such as nitrogen, potassium, calcium, magnesium, and sulfur are highly available at pH 6.0–6.5, while micronutrients become less available at higher, alkaline pH (pH > 7.0). Recent research has indicated that low pHs can enhance nutrient uptake and improve sweet orange (Citrus sinensis) tree health. We designed a study to understand the influence of a wide range of substrate pH values on plant size and biomass, nutrient availability, leaf gas exchange, and rhizosphere microbiome of grapefruit (Citrus paradisi) affected by Huanglongbing (HLB). Two-year-old “Ray Ruby” grapefruit plants grafted on sour orange (Citrus aurantium) rootstock were cultivated indoors in 10-cm wide × 40-cm tall pots with peat:perlite commercial substrate (80:20 v/v). We tested two disease statuses [HLB-free or healthy (negative, HLB–) and HLB-affected (positive, HLB+)] and six substrate pH values (4, 5, 6, 7, 8, 9) in a 2 × 6 factorial arranged on a complete randomized design with four replications. The canopy volume of HLB+ plants was 20% lower than healthy plants, with pHs 7 and 9 resulting in 44% less canopy volume. The root and shoot ratio of dry weight was 25.8% lower in HLB+ than in healthy plants. Poor root growth and a decrease in fibrous roots were found, especially in pH 5 and 6 treatments in HLB+ plants (p < 0.0001). The disease status and the substrate pHs influenced the leaf nutrient concentration (p < 0.05). High substrate pH affects nutrient availability for root uptake, influencing the nutrient balance throughout the plant system. pH values did not affect plant photosynthesis, indicating that pH does not recover HLB+ plants to the photosynthetic levels of healthy plants—even though high pH positively influenced internal CO2. There were collectively over 200 rhizobacterial identified by the 16S rRNA gene sequencing in individual phylogenetic trees. Most rhizobacteria reads were identified in pH 9. Our results indicated no effect of substrate pHs on the plant disease status induced by enhanced nutrient uptake.
Published: 2022

14. Novel genes and sex differences in COVID-19 severity

Author: Cruz, R, Diz-de Almeida, S, de Heredia, ML, Quintela, I, Ceballos, FC, Lorenzo-Salazar, GM, Gonzalez-Montelongo, R, Gago-Dominguez, M, Porras, MS, Castano, JAT, Nevado, J, Aguado, JM, Aguilar, C, Aguilera-Albesa, S, Almadana, V, Almoguera, B, Alvarez, N, Andreu-Bernabeu, A, Arana-Arri, E, Arango, C, Arranz, MJ, Artiga, MJ, Baptista-Rosas, RC, Barreda-Sanchez, M, Belhassen-Garcia, M, Bezerra, JF, Bezerra, MAC, Boix-Palop, L, Brion, M, Brugada, R, Bustos, M, Calderon, EJ, Carbonell, C, Castano, L, Castelao, JE, Conde-Vicente, R, Cordero-Lorenzana, ML, Cortes-Sanchez, JL, Corton, M, Darnaude, MT, De Martino-Rodriguez, A, del Campo-Perez, V, de Bustamante, AD, Dominguez-Garrido, E, Luchessi, AD, Eiros, R, Sanabria, GME, Carmen Farinas, M, Fernandez-Robelo, U, Fernandez-Rodriguez, A, Fernandez-Villa, T, Gil-Fournier, B, Gomez-Arrue, J, Alvarez, BG, de Quiros, FGB, Gonzalez-Penas, J, Gutierrez-Bautista, JF, Herrero, MJ, Herrero-Gonzalez, A, Jimenez-Sousa, MA, Lattig, MC, Borja, AL, Lopez-Rodriguez, R, Mancebo, E, Martin-Lopez, C, Martin, V, Martinez-Nieto, O, Martinez-Lopez, I, Martinez-Resendez, MF, Martinez-Perez, A, Mazzeu, JF, Macias, EM, Minguez, P, Cuerda, VM, Silbiger, VN, Oliveira, SF, Ortega-Paino, E, Parellada, M, Paz-Artal, E, Santos, NPC, Perez-Matute, P, Perez, P, Perez-Tomas, ME, Perucho, T, Pinsach-Abuin, ML, Pompa-Mera, EN, Porras-Hurtado, GL, Pujol, A, Leon, SR, Resino, S, Fernandes, MR, Rodriguez-Ruiz, E, Rodriguez-Artalejo, F, Rodriguez-Garcia, JA, Cabello, FR, Ruiz-Hornillos, J, Ryan, P, Soria, JM, Souto, JC, Tamayo, E, Tamayo-Velasco, A, Taracido-Fernandez, JC, Teper, A, Torres-Tobar, L, Urioste, M, Valencia-Ramos, J, Yanez, Z, Zarate, R, Nakanishi, T, Pigazzini, S, Degenhardt, F, Butler-Laporte, G, Maya-Miles, D, Bujanda, L, Bouysran, Y, Palom, A, Ellinghaus, D, Martinez-Bueno, M, Rolker, S, Amitrano, S, Roade, L, Fava, F, Spinner, CD, Prati, D, Bernardo, D, Garcia, F, Darcis, G, Fernandez-Cadenas, I, Holter, JC, Banales, JM, Frithiof, R, Duga, S, Asselta, R, Pereira, AC, Romero-Gomez, M, Nafria-Jimenez, B, Hov, JR, Migeotte, I, Renieri, A, Planas, AM, Ludwig, KU, Buti, M, Rahmouni, S, Alarcon-Riquelme, ME, Schulte, EC, Franke, A, Karlsen, TH, Valenti, L, Zeberg, H, Richards, B, Ganna, A, Boada, M, de Rojas, I, Ruiz, A, Sanchez-Juan, P, Real, LM, Guillen-Navarro, E, Ayuso, C, Gonzalez-Neira, A, Riancho, JA, Rojas-Martinez, A, Flores, C, Lapunzina, P, and Carracedo, A
Abstract: Here, we describe the results of a genome-wide study conducted in 11939 coronavirus disease 2019 (COVID-19) positive cases with an extensive clinical information that were recruited from 34 hospitals across Spain (SCOURGE consortium). In sex-disaggregated genome-wide association studies for COVID-19 hospitalization, genome-wide significance (P= 60 years) among males than among females. Parallel genome-wide screening of inbreeding depression in SCOURGE also showed an effect of homozygosity in COVID-19 hospitalization and severity and this effect was stronger among older males. In summary, new candidate genes for COVID-19 severity and evidence supporting genetic disparities among sexes are provided.
Published: 2022

15. 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

16. Predicción de riesgo de cáncer de mama en mujeres sanas de población española basado en el estudio de variantes genéticas

Author: Antonio Cano Sánchez, Dolores Serra Esteve, Ana Lluch Hernández, Juan Carlos Triviño Pardo, Anna Gonzalez-Neira, Sergio Hoyas Calvo, Rebeca Miñambres Herraiz, Pablo Ignacio Marrón, Ricardo Rosa Ferrero, Ana Llaneza-Folgueras, Estrella Rubio Solsona, Javier Benítez Ortiz, Guillermo Pita Macpherson, María Isabel Sánchez Guiu, and Santiago Palacios Gil-Antuñano
Subjects: 0301 basic medicine, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Oncology, 030220 oncology & carcinogenesis, Obstetrics and Gynecology, Radiology, Nuclear Medicine and imaging, Surgery
Abstract: Resumen Objetivo Estratificacion de la poblacion general con base en las variantes genotipicas para seleccionar a aquellas mujeres de alto riesgo a desarrollar un cancer de mama que puedan ser candidatas a un seguimiento individualizado. Material y metodos Se ha realizado un estudio caso-control en 856 mujeres con cancer de mama y 839 mujeres controles de la poblacion general pareadas por edad, analizando la asociacion entre el riesgo a desarrollar cancer de mama y un grupo de variantes basado en 76 polimorfismos de un cambio de base (SNP) de susceptibilidad. Resultados Se han establecido 2 curvas de casos y controles con base en las odds ratio (OR) genotipicas que diferencian las 2 poblaciones con significacion estadistica (p = 2,293 × 10-15). Asimismo, se ha estratificado la poblacion de casos y controles e identificado un 14% de la poblacion que se encontraria en el grupo de alto riesgo con una OR > 2 (> 25% probabilidades de desarrollar un cancer de mama). Este grupo seria candidato a un seguimiento individualizado. Conclusiones El Polygenic Risk Score es un predictor del riesgo del cancer de mama independiente que puede ayudar a seleccionar mujeres con alto riesgo para establecer medidas de seguimiento y tratamiento individualizado en funcion del riesgo genetico.
Published: 2019

17. CYP3A7*1C allele:linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers

Author: Johnson, N. (Nichola), Maguire, S. (Sarah), Morra, A. (Anna), Kapoor, P. M. (Pooja Middha), Tomczyk, K. (Katarzyna), Jones, M. E. (Michael E.), Schoemaker, M. J. (Minouk J.), Gilham, C. (Clare), Bolla, M. K. (Manjeet K.), Wang, Q. (Qin), Dennis, J. (Joe), Ahearn, T. U. (Thomas U.), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Antonenkova, N. N. (Natalia N.), Arndt, V. (Volker), Aronson, K. J. (Kristan J.), Augustinsson, A. (Annelie), Baynes, C. (Caroline), Freeman, L. E. (Laura E. Beane), Beckmann, M. W. (Matthias W.), Benitez, J. (Javier), Bermisheva, M. (Marina), Blomqvist, C. (Carl), Boeckx, B. (Bram), Bogdanova, N. V. (Natalia V.), Bojesen, S. E. (Stig E.), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Burwinkel, B. (Barbara), Campa, D. (Daniele), Canzian, F. (Federico), Castelao, J. E. (Jose E.), Chanock, S. J. (Stephen J.), Chenevix-Trench, G. (Georgia), Clarke, C. L. (Christine L.), Conroy, D. M. (Don M.), Couch, F. J. (Fergus J.), Cox, A. (Angela), Cross, S. S. (Simon S.), Czene, K. (Kamila), Doerk, T. (Thilo), Eliassen, A. H. (A. Heather), Engel, C. (Christoph), Evans, D. G. (D. Gareth), Fasching, P. A. (Peter A.), Figueroa, J. (Jonine), Floris, G. (Giuseppe), Flyger, H. (Henrik), Gago-Dominguez, M. (Manuela), Gapstur, S. M. (Susan M.), Garcia-Closas, M. (Montserrat), Gaudet, M. M. (Mia M.), Giles, G. G. (Graham G.), Goldberg, M. S. (Mark S.), Gonzalez-Neira, A. (Anna), Guenel, P. (Pascal), Hahnen, E. (Eric), Haiman, C. A. (Christopher A.), Hakansson, N. (Niclas), Hall, P. (Per), Hamann, U. (Ute), Harrington, P. A. (Patricia A.), Hart, S. N. (Steven N.), Hooning, M. J. (Maartje J.), Hopper, J. L. (John L.), Howell, A. (Anthony), Hunter, D. J. (David J.), Jager, A. (Agnes), Jakubowska, A. (Anna), John, E. M. (Esther M.), Kaaks, R. (Rudolf), Keeman, R. (Renske), Khusnutdinova, E. (Elza), Kitahara, C. M. (Cari M.), Kosma, V.-M. (Veli-Matti), Koutros, S. (Stella), Kraft, P. (Peter), Kristensen, V. N. (Vessela N.), Kurian, A. W. (Allison W.), Lambrechts, D. (Diether), Le Marchand, L. (Loic), Linet, M. (Martha), Lubinski, J. (Jan), Mannermaa, A. (Arto), Manoukian, S. (Siranoush), Margolin, S. (Sara), Martens, J. W. (John W. M.), Mavroudis, D. (Dimitrios), Mayes, R. (Rebecca), Meindl, A. (Alfons), Milne, R. L. (Roger L.), Neuhausen, S. L. (Susan L.), Nevanlinna, H. (Heli), Newman, W. G. (William G.), Nielsen, S. F. (Sune F.), Nordestgaard, B. G. (Borge G.), Obi, N. (Nadia), Olshan, A. F. (Andrew F.), Olson, J. E. (Janet E.), Olsson, H. (Hakan), Orban, E. (Ester), Park-Simon, T.-W. (Tjoung-Won), Peterlongo, P. (Paolo), Plaseska-Karanfilska, D. (Dijana), Pylkäs, K. (Katri), Rennert, G. (Gad), Rennert, H. S. (Hedy S.), Ruddy, K. J. (Kathryn J.), Saloustros, E. (Emmanouil), Sandler, D. P. (Dale P.), Sawyer, E. J. (Elinor J.), Schmutzler, R. K. (Rita K.), Scott, C. (Christopher), Shu, X.-O. (Xiao-Ou), Simard, J. (Jacques), Smichkoska, S. (Snezhana), Sohn, C. (Christof), Southey, M. C. (Melissa C.), Spinelli, J. J. (John J.), Stone, J. (Jennifer), Tamimi, R. M. (Rulla M.), Taylor, J. A. (Jack A.), Tollenaar, R. A. (Rob A. E. M.), Tomlinson, I. (Ian), Troester, M. A. (Melissa A.), Truong, T. (Therese), Vachon, C. M. (Celine M.), van Veen, E. M. (Elke M.), Wang, S. S. (Sophia S.), Weinberg, C. R. (Clarice R.), Wendt, C. (Camilla), Wildiers, H. (Hans), Winqvist, R. (Robert), Wolk, A. (Alicja), Zheng, W. (Wei), Ziogas, A. (Argyrios), Dunning, A. M. (Alison M.), Pharoah, P. D. (Paul D. P.), Easton, D. F. (Douglas F.), Howie, A. F. (A. Forbes), Peto, J. (Julian), dos-Santos-Silva, I. (Isabel), Swerdlow, A. J. (Anthony J.), Chang-Claude, J. (Jenny), Schmidt, M. K. (Marjanka K.), Orr, N. (Nick), and Fletcher, O. (Olivia)
Abstract: Background: Epidemiological studies provide strong evidence for a role of endogenous sex hormones in the aetiology of breast cancer. The aim of this analysis was to identify genetic variants that are associated with urinary sex-hormone levels and breast cancer risk. Methods: We carried out a genome-wide association study of urinary oestrone-3-glucuronide and pregnanediol-3-glucuronide levels in 560 premenopausal women, with additional analysis of progesterone levels in 298 premenopausal women. To test for the association with breast cancer risk, we carried out follow-up genotyping in 90,916 cases and 89,893 controls from the Breast Cancer Association Consortium. All women were of European ancestry. Results: For pregnanediol-3-glucuronide, there were no genome-wide significant associations; for oestrone-3-glucuronide, we identified a single peak mapping to the CYP3A locus, annotated by rs45446698. The minor rs45446698-C allele was associated with lower oestrone-3-glucuronide (−49.2%, 95% CI −56.1% to −41.1%, P = 3.1 × 10⁻¹⁸); in follow-up analyses, rs45446698-C was also associated with lower progesterone (−26.7%, 95% CI −39.4% to −11.6%, P = 0.001) and reduced risk of oestrogen and progesterone receptor-positive breast cancer (OR = 0.86, 95% CI 0.82–0.91, P = 6.9 × 10⁻¹⁸). Conclusions: The CYP3A7*1C allele is associated with reduced risk of hormone receptor-positive breast cancer possibly mediated via an effect on the metabolism of endogenous sex hormones in premenopausal women.
Published: 2021

18. 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

19. Combination of phenotype and polygenic risk score in breast cancer risk evaluation in the Spanish population

Author: Juan Trivino, A Ceba, E Rubio-Solsona, D Serra, I Sanchez-Guiu, G Ribas, R Rosa, M Cabo, L Bernad, G Pita, A Gonzalez-Neira, G Legarda, JL Diaz, A García-Vigara, A Martínez-Aspas, M Escrig, B Bermejo, P Eroles, J Ibáñez, D Salas, A Julve, A Cano, A Lluch, R Miñambres, and Javier Benitez
Subjects: genetic structures
Abstract: Background: In the last years, the identification of different genetic and phenotypic biomarkers for prevention, early diagnostics and patient stratification have been a main objective in cancer research. Different proposals for multivariable models using biomarkers have been presented for the evaluation of individual risk of women to develop breast cancer. Methods: In this study, we describe and evaluate a multivariable model using 92 Single-nucleotide polymorphisms (SNPs) and five different phenotypic variables in a Spanish population of 642 healthy women and 455 breast cancer patients. Results: We were able to stratify both groups with our model. The 9th decile included 1% of controls vs 9% of cases, with an Odds ratio (OR) of 12.9 and a p-value of 3.43E-07. The first decile presented an inverse proportion: 1% of cases and 9% of controls, with an OR of 0.097 and a p-value of 1.86E-08. Conclusions: These results indicate the ability of the multivariable model to stratify women according to their risk to develop breast cancer over a maximum period of 5 years. The analysis present a proof of concept in a poorly studied population and it opens the possibility of using this type of method for routine screening in the Spanish population.
Published: 2020

20. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

Author: Zhan, H.Y., Ahearn, T.U., Lecarpentier, J., Barnes, D., Beesley, J., Qi, G.H., Jiang, X., O'Mara, T.A., Zhao, N., Bolla, M.K., Dunning, A.M., Dennis, J., Wang, Q., Abu Ful, Z., Aittomaki, K., Andrulis, I.L., Anton-Culver, H., Arndt, V., Aronson, K.J., Arun, B.K., Auer, P.L., Azzollini, J., Barrowdale, D., Becher, H., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bialkowska, K., Blanco, A., Blomqvist, C., Bogdanova, N.V., Bojesen, S.E., Bonanni, B., Bondavalli, D., Borg, A., Brauch, H., Brenner, H., Briceno, I., Broeks, A., Brucker, S.Y., Bruning, T., Burwinkel, B., Buys, S.S., Byers, H., Caldes, T., Caligo, M.A., Calvello, M., Campa, D., Castelao, J.E., Chang-Claude, J., Chanock, S.J., Christiaens, M., Christiansen, H., Chung, W.K., Claes, K.B.M., Clarke, C.L., Cornelissen, S., Couch, F.J., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Diez, O., Domchek, S.M., Dork, T., Dwek, M., Eccles, D.M., Ekici, A.B., Evans, D.G., Fasching, P.A., Figueroa, J., Foretova, L., Fostira, F., Friedman, E., Frost, D., Gago-Dominguez, M., Gapstur, S.M., Garber, J., Garcia-Saenz, J.A., Gaudet, M.M., Gayther, S.A., Giles, G.G., Godwin, A.K., Goldberg, M.S., Goldgar, D.E., Gonzalez-Neira, A., Greene, M.H., Gronwald, J., Guenel, P., Haberle, L., Hahnen, E., Haiman, C.A., Hake, C.R., Hall, P., Hamann, U., Harkness, E.F., Heemskerk-Gerritsen, B.A.M., Hillemanns, P., Hogervorst, F.B.L., Holleczek, B., Hollestelle, A., Hooning, M.J., Hoover, R.N., Hopper, J.L., Howell, A., Huebner, H., Hulick, P.J., Imyanitov, E.N., Isaacs, C., Izatt, L., Jager, A., Jakimovska, M., Jakubowska, A., James, P., Janavicius, R., Janni, W., John, E.M., Jones, M.E., Jung, A., Kaaks, R., Kapoor, P.M., Karlan, B.Y., Keeman, R., Khan, S., Khusnutdinova, E., Kitahara, C.M., Ko, Y.D., Konstantopoulou, I., Koppert, L.B., Koutros, S., Kristensen, V.N., Laenkholm, A.V., Lambrechts, D., Larsson, S.C., Laurent-Puig, P., Lazaro, C., Lazarova, E., Lejbkowicz, F., Leslie, G., Lesueur, F., Lindblom, A., Lissowska, J., W.Y. lo, Loud, J.T., Lubinski, J., Lukomska, A., MacInnis, R.J., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Matricardi, L., McGuffog, L., McLean, C., Mebirouk, N., Meindl, A., Menon, U., Miller, A., Mingazheva, E., Montagna, M., Mulligan, A.M., Mulot, C., Muranen, T.A., Nathanson, K.L., Neuhausen, S.L., Nevanlinna, H., Neven, P., Newman, W.G., Nielsens, F.C., Nikitina-Zake, L., Nodora, J., Offit, K., Olah, E., Olopade, O.I., Olsson, H., Orr, N., Papi, L., Papp, J., Park-Simon, T.W., Parsons, M.T., Peissel, B., Peixoto, A., Peshkin, B., Peterlongo, P., Peto, J., Phillips, K.A., Piedmonte, M., Plaseska-Karanfilska, D., Prajzendanc, K., Prentice, R., Prokofyeva, D., Rack, B., Radice, P., Ramus, S.J., Rantala, J., Rashid, M.U., Rennert, G., Rennert, H.S., Risch, H.A., Romero, A., Rookus, M.A., Rubner, M., Rudiger, T., Saloustros, E., Sampson, S., Sandler, D.P., Sawyer, E.J., Scheuner, M.T., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Schottker, B., Schurmann, P., Senter, L., Sharma, P., Sherman, M.E., Shu, X.O., Singer, C.F., Smichkoska, S., Soucy, P., Southey, M.C., Spinelli, J.J., Stone, J., Stoppa-Lyonnet, D., Swerdlow, A.J., Szabo, C.I., Tamimi, R.M., Tapper, W.J., Taylor, J.A., Teixeira, M.R., Terry, M., Thomassen, M., Thull, D.L., Tischkowitz, M., Toland, A.E., Tollenaar, R.A.E.M., Tomlinson, I., Torres, D., Troester, M.A., Truong, T., Tung, N., Untch, M., Vachon, C.M., Ouweland, A.M.W. van den, Kolk, L.E. van der, Veen, E.M. van, vanRensburg, E.J., Vega, A., Wappenschmidt, B., Weinberg, C.R., Weitzel, J.N., Wildiers, H., Winqvist, R., Wolk, A., Yang, X.H.R., Yannoukakos, D., Zheng, W., Zorn, K.K., Milne, R.L., Kraft, P., Simard, J., Pharoah, P.D.P., Michailidou, K., Antoniou, A.C., Schmidt, M.K., Chenevix-Trench, G., Easton, D.F., Chatterjee, N., Garcia-Closas, M., kConFab Investigators, ABCTB Investigators, EMBRACE Study, and GEMO Study Collaborators
Abstract: Genome-wide analysis identifies 32 loci associated with breast cancer susceptibility, accounting for estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade.Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype(1-3). To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P < 5.0 x 10(-8)), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate < 0.05). Five loci showed associations (P < 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.
Published: 2020

21. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

Author: Zhan, H.Y., Ahearn, T.U., Lecarpentier, J., Barnes, D., Beesley, J., Qi, G.H., Jiang, X., O'Mara, T.A., Zhao, N., Bolla, M.K., Dunning, A.M., Dennis, J., Wang, Q., Abu Ful, Z., Aittomaki, K., Andrulis, I.L., Anton-Culver, H., Arndt, V., Aronson, K.J., Arun, B.K., Auer, P.L., Azzollini, J., Barrowdale, D., Becher, H., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bialkowska, K., Blanco, A., Blomqvist, C., Bogdanova, N.V., Bojesen, S.E., Bonanni, B., Bondavalli, D., Borg, A., Brauch, H., Brenner, H., Briceno, I., Broeks, A., Brucker, S.Y., Bruning, T., Burwinkel, B., Buys, S.S., Byers, H., Caldes, T., Caligo, M.A., Calvello, M., Campa, D., Castelao, J.E., Chang-Claude, J., Chanock, S.J., Christiaens, M., Christiansen, H., Chung, W.K., Claes, K.B.M., Clarke, C.L., Cornelissen, S., Couch, F.J., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Diez, O., Domchek, S.M., Dork, T., Dwek, M., Eccles, D.M., Ekici, A.B., Evans, D.G., Fasching, P.A., Figueroa, J., Foretova, L., Fostira, F., Friedman, E., Frost, D., Gago-Dominguez, M., Gapstur, S.M., Garber, J., Garcia-Saenz, J.A., Gaudet, M.M., Gayther, S.A., Giles, G.G., Godwin, A.K., Goldberg, M.S., Goldgar, D.E., Gonzalez-Neira, A., Greene, M.H., Gronwald, J., Guenel, P., Haberle, L., Hahnen, E., Haiman, C.A., Hake, C.R., Hall, P., Hamann, U., Harkness, E.F., Heemskerk-Gerritsen, B.A.M., Hillemanns, P., Hogervorst, F.B.L., Holleczek, B., Hollestelle, A., Hooning, M.J., Hoover, R.N., Hopper, J.L., Howell, A., Huebner, H., Hulick, P.J., Imyanitov, E.N., Isaacs, C., Izatt, L., Jager, A., Jakimovska, M., Jakubowska, A., James, P., Janavicius, R., Janni, W., John, E.M., Jones, M.E., Jung, A., Kaaks, R., Kapoor, P.M., Karlan, B.Y., Keeman, R., Khan, S., Khusnutdinova, E., Kitahara, C.M., Ko, Y.D., Konstantopoulou, I., Koppert, L.B., Koutros, S., Kristensen, V.N., Laenkholm, A.V., Lambrechts, D., Larsson, S.C., Laurent-Puig, P., Lazaro, C., Lazarova, E., Lejbkowicz, F., Leslie, G., Lesueur, F., Lindblom, A., Lissowska, J., W.Y. lo, Loud, J.T., Lubinski, J., Lukomska, A., MacInnis, R.J., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Matricardi, L., McGuffog, L., McLean, C., Mebirouk, N., Meindl, A., Menon, U., Miller, A., Mingazheva, E., Montagna, M., Mulligan, A.M., Mulot, C., Muranen, T.A., Nathanson, K.L., Neuhausen, S.L., Nevanlinna, H., Neven, P., Newman, W.G., Nielsens, F.C., Nikitina-Zake, L., Nodora, J., Offit, K., Olah, E., Olopade, O.I., Olsson, H., Orr, N., Papi, L., Papp, J., Park-Simon, T.W., Parsons, M.T., Peissel, B., Peixoto, A., Peshkin, B., Peterlongo, P., Peto, J., Phillips, K.A., Piedmonte, M., Plaseska-Karanfilska, D., Prajzendanc, K., Prentice, R., Prokofyeva, D., Rack, B., Radice, P., Ramus, S.J., Rantala, J., Rashid, M.U., Rennert, G., Rennert, H.S., Risch, H.A., Romero, A., Rookus, M.A., Rubner, M., Rudiger, T., Saloustros, E., Sampson, S., Sandler, D.P., Sawyer, E.J., Scheuner, M.T., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Schottker, B., Schurmann, P., Senter, L., Sharma, P., Sherman, M.E., Shu, X.O., Singer, C.F., Smichkoska, S., Soucy, P., Southey, M.C., Spinelli, J.J., Stone, J., Stoppa-Lyonnet, D., Swerdlow, A.J., Szabo, C.I., Tamimi, R.M., Tapper, W.J., Taylor, J.A., Teixeira, M.R., Terry, M., Thomassen, M., Thull, D.L., Tischkowitz, M., Toland, A.E., Tollenaar, R.A.E.M., Tomlinson, I., Torres, D., Troester, M.A., Truong, T., Tung, N., Untch, M., Vachon, C.M., Ouweland, A.M.W. van den, Kolk, L.E. van der, Veen, E.M. van, vanRensburg, E.J., Vega, A., Wappenschmidt, B., Weinberg, C.R., Weitzel, J.N., Wildiers, H., Winqvist, R., Wolk, A., Yang, X.H.R., Yannoukakos, D., Zheng, W., Zorn, K.K., Milne, R.L., Kraft, P., Simard, J., Pharoah, P.D.P., Michailidou, K., Antoniou, A.C., Schmidt, M.K., Chenevix-Trench, G., Easton, D.F., Chatterjee, N., Garcia-Closas, M., kConFab Investigators, ABCTB Investigators, EMBRACE Study, and GEMO Study Collaborators
Abstract: Genome-wide analysis identifies 32 loci associated with breast cancer susceptibility, accounting for estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade.Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype(1-3). To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P < 5.0 x 10(-8)), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate < 0.05). Five loci showed associations (P < 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.
Published: 2020

22. A network analysis to identify mediators of germline-driven differences in breast cancer prognosis

Author: Escala-Garcia, Maria, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Ashworth, Alan, Auer, Paul L, Auvinen, Päivi, Beckmann, Matthias W, Beesley, Jonathan, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Blot, William, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Canzian, Federico, Chang-Claude, Jenny, Chanock, Stephen J, Chin, Suet-Feung, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Dwek, Miriam, Earl, Helena M, Eccles, Diana M, Eliassen, A Heather, Ellberg, Carolina, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Giles, Graham G, Goldgar, David E, González-Neira, Anna, Grip, Mervi, Guénel, Pascal, Guo, Qi, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Harrington, Patricia A, Hiller, Louise, Hooning, Maartje J, Hopper, John L, Howell, Anthony, Huang, Chiun-Sheng, Huang, Guanmengqian, Hunter, David J, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Kapoor, Pooja Middha, Keeman, Renske, Kitahara, Cari M, Koppert, Linetta B, Kraft, Peter, Kristensen, Vessela N, Lambrechts, Diether, Le Marchand, Loic, Lejbkowicz, Flavio, Lindblom, Annika, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Maurer, Tabea, Mavroudis, Dimitrios, Meindl, Alfons, Milne, Roger L, Mulligan, Anna Marie, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, Orr, Nick, Peterlongo, Paolo, Petridis, Christos, Prentice, Ross L, Presneau, Nadege, Punie, Kevin, Ramachandran, Dhanya, Rennert, Gad, Romero, Atocha, Sachchithananthan, Mythily, Saloustros, Emmanouil, Sawyer, Elinor J, Schmutzler, Rita K, Schwentner, Lukas, Scott, Christopher, Simard, Jacques, Sohn, Christof, Southey, Melissa C, Swerdlow, Anthony J, Tamimi, Rulla M, Tapper, William J, Teixeira, Manuel R, Terry, Mary Beth, Thorne, Heather, Tollenaar, Rob A E M, Tomlinson, Ian, Troester, Melissa A, Truong, Thérèse, Turnbull, Clare, Vachon, Celine M, van der Kolk, Lizet E, Wang, Qin, Winqvist, Robert, Wolk, Alicja, Yang, Xiaohong R, Ziogas, Argyrios, Pharoah, Paul D P, Hall, Per, Wessels, Lodewyk F A, Chenevix-Trench, Georgia, Bader, Gary D, Dörk, Thilo, Easton, Douglas F, Canisius, Sander, Schmidt, Marjanka K, Gonzalez Neira, Anna, Andrulis, Irene L., Auer, Paul L., Beckmann, Matthias W., Bogdanova, Natalia V., Bojesen, Stig E., Bolla, Manjeet K., Brucker, Sara Y., Chanock, Stephen J., Clarke, Christine L., Couch, Fergus J., Cross, Simon S., Daly, Mary B., Dunn, Janet A., Dunning, Alison M., Earl, Helena M., Eccles, Diana M., Eliassen, A. Heather, Evans, D. Gareth, Fasching, Peter A., Gapstur, Susan M., García-Sáenz, José A., Gaudet, Mia M., Giles, Graham G., Goldgar, David E., Haiman, Christopher A., Harrington, Patricia A., Hooning, Maartje J., Hopper, John L., Hunter, David J., John, Esther M., Kitahara, Cari M., Milne, Roger L., Neuhausen, Susan L., Newman, William G., Olshan, Andrew F., Olson, Janet E., Prentice, Ross L., Sawyer, Elinor J., Schmutzler, Rita K., Southey, Melissa C., Swerdlow, Anthony J., Tamimi, Rulla M., Tapper, William J., Tollenaar, Rob A. E. M., Troester, Melissa A., Vachon, Celine M., van der Kolk, Lizet E., Yang, Xiaohong R., Pharoah, Paul D. P., Wessels, Lodewyk F. A., Bader, Gary D., Easton, Douglas F., Schmidt, Marjanka K., HUS Comprehensive Cancer Center, Department of Oncology, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, University of Helsinki, National Institute for Health Research (Reino Unido), German Cancer Research Center, United States of Department of Health & Human Services, Cancer Research UK (Reino Unido), European Commission, Canadian Institutes of Health Research, Ministere de l'Economie, Science et Innovation du Quebec (Canadá), Dutch Cancer Society (Holanda), Instituto de Salud Carlos III, Asociación Española Contra el Cáncer, Deutsche Krebshilfe, Russian Foundation for Basic Research, Swedish Research Council, Breast Cancer Now (Reino Unido), Medical Oncology, Surgery, National Institute for Health Research (NIHR), German Cancer Research Center (DKFZ, United States Department of Health & Human Services National Institutes of Health (NIH) - USA, Cancer Research UK, Canadian Institutes of Health Research (CIHR), Ministere de l'Economie, Science et Innovation du Quebec- CANADA, KWF Kankerbestrijding, Asociacion Espanola Contra el Cancer (AECC), Russian Foundation for Basic Research (RFBR), Breast Cancer Now, London, Unión Europea. Comisión Europea, Andrulis, Irene L. [0000-0002-4226-6435], Arndt, Volker [0000-0001-9320-8684], Bojesen, Stig E. [0000-0002-4061-4133], Brauch, Hiltrud [0000-0001-7531-2736], Caldas, Carlos [0000-0003-3547-1489], Canzian, Federico [0000-0002-4261-4583], Chanock, Stephen J. [0000-0002-2324-3393], Chin, Suet-Feung [0000-0001-5697-1082], Dennis, Joe [0000-0003-4591-1214], Devilee, Peter [0000-0002-8023-2009], Dunning, Alison M. [0000-0001-6651-7166], Dwek, Miriam [0000-0001-7184-2932], Ellberg, Carolina [0000-0001-7297-0645], Fasching, Peter A. [0000-0003-4885-8471], García-Closas, Montserrat [0000-0003-1033-2650], García-Sáenz, José A. [0000-0001-6880-0301], Giles, Graham G. [0000-0003-4946-9099], Guénel, Pascal [0000-0002-8359-518X], Håkansson, Niclas [0000-0001-7673-5554], Kapoor, Pooja Middha [0000-0001-5503-8215], Keeman, Renske [0000-0002-5452-9933], Kraft, Peter [0000-0002-4472-8103], Lambrechts, Diether [0000-0002-3429-302X], Milne, Roger L. [0000-0001-5764-7268], Nevanlinna, Heli [0000-0002-0916-2976], Newman, William G. [0000-0002-6382-4678], Olson, Janet E. [0000-0003-4944-7789], Orr, Nick [0000-0003-2866-942X], Peterlongo, Paolo [0000-0001-6951-6855], Punie, Kevin [0000-0002-1162-7963], Ramachandran, Dhanya [0000-0001-8139-7799], Rennert, Gad [0000-0002-8512-068X], Romero, Atocha [0000-0002-1634-7397], Saloustros, Emmanouil [0000-0002-0485-0120], Scott, Christopher [0000-0003-1340-0647], Simard, Jacques [0000-0001-6906-3390], Teixeira, Manuel R. [0000-0002-4896-5982], Tomlinson, Ian [0000-0003-3037-1470], Truong, Thérèse [0000-0002-2943-6786], Winqvist, Robert [0000-0003-0932-9104], Wolk, Alicja [0000-0001-7387-6845], Ziogas, Argyrios [0000-0003-4529-3727], Pharoah, Paul D. P. [0000-0001-8494-732X], Bader, Gary D. [0000-0003-0185-8861], Dörk, Thilo [0000-0002-9458-0282], Easton, Douglas F. [0000-0003-2444-3247], Canisius, Sander [0000-0003-3888-8829], Schmidt, Marjanka K. [0000-0002-2228-429X], Apollo - University of Cambridge Repository, Andrulis, Irene L [0000-0002-4226-6435], Blomqvist, Carl [0000-0003-3041-1938], Bojesen, Stig E [0000-0002-4061-4133], Chanock, Stephen J [0000-0002-2324-3393], Dunning, Alison M [0000-0001-6651-7166], Earl, Helena M [0000-0003-1549-8094], Fasching, Peter A [0000-0003-4885-8471], García-Sáenz, José A [0000-0001-6880-0301], Giles, Graham G [0000-0003-4946-9099], Howell, Anthony [0000-0002-6233-719X], Milne, Roger L [0000-0001-5764-7268], Newman, William G [0000-0002-6382-4678], Olson, Janet E [0000-0003-4944-7789], Olsson, Håkan [0000-0002-8794-9635], Teixeira, Manuel R [0000-0002-4896-5982], Pharoah, Paul D P [0000-0001-8494-732X], Bader, Gary D [0000-0003-0185-8861], Easton, Douglas F [0000-0003-2444-3247], Schmidt, Marjanka K [0000-0002-2228-429X], and Pharoah, Paul DP [0000-0001-8494-732X]
Subjects: 0301 basic medicine, PTEN, GTP-Binding Protein alpha Subunits, Gq-G11/genetics, 45/43, Gene regulatory network, General Physics and Astronomy, Estrogen receptor, Genome-wide association study, Apoptosis, Disease, CIRCADIAN CLOCK, VARIANTS, Bioinformatics, Genome-wide association studies, Germline, Metastasis, PATHWAY, 0302 clinical medicine, Breast cancer, 3123 Gynaecology and paediatrics, Gene Regulatory Networks, lcsh:Science, Multidisciplinary, TUMOR-GROWTH, Receptors, Estrogen/genetics, Prognosis, GTP-Binding Protein alpha Subunits, 3. Good health, Multidisciplinary Sciences, Receptors, Estrogen, 030220 oncology & carcinogenesis, Medical genetics, Science & Technology - Other Topics, Female, Medical Genetics, Signal Transduction, medicine.medical_specialty, Genotype, Science, 3122 Cancers, 631/208/205/2138, Breast Neoplasms, Biology, Breast Neoplasms/genetics, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, PROTEIN-COUPLED RECEPTORS, SDG 3 - Good Health and Well-being, Circadian Clocks, medicine, Humans, GENOME-WIDE ASSOCIATION, Medicinsk genetik, Science & Technology, 45, Genetic Variation, Computational Biology, General Chemistry, medicine.disease, GENE, Computational biology and bioinformatics, 030104 developmental biology, Germ Cells, GTP-Binding Protein alpha Subunits/genetics, METASTASIS, GTP-Binding Protein alpha Subunits, Gq-G11, 692/4028/67/1347, lcsh:Q, CELL-GROWTH, 631/114, Genome-Wide Association Study
Abstract: Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies ~7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis., In breast cancer the contribution of different genetic variants to disease heritability is complex and not fully understood. Here, the authors present a network-based analysis in 84,567 patients studying ~7.3 million variants, identifying gene modules associated with breast cancer survival.
Published: 2020

23. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

Author: Zhang, H. (Haoyu), Ahearn, T. U. (Thomas U.), Lecarpentier, J. (Julie), Barnes, D. (Daniel), Beesley, J. (Jonathan), Qi, G. (Guanghao), Hang, X. (Xia), O'Mara, T. A. (Tracy A.), Zhao, N. (Ni), Bolla, M. K. (Manjeet K.), Dunning, A. M. (Alison M.), Dennis, J. (Joe), Wang, Q. (Qin), Abu Ful, Z. (Zumuruda), Aittomaki, K. (Kristiina), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Arndt, V. (Volker), Aronson, K. J. (Kristan J.), Arun, B. K. (Banu K.), Auer, P. L. (Paul L.), Azzollini, J. (Jacopo), Barrowdale, D. (Daniel), Becher, H. (Heiko), Beckmann, M. W. (Matthias W.), Behrens, S. (Sabine), Benitez, J. (Javier), Bermisheva, M. (Marina), Bialkowska, K. (Katarzyna), Blanco, A. (Ana), Blomqvist, C. (Carl), Bogdanova, N. V. (Natalia, V), Bojesen, S. E. (Stig E.), Bonanni, B. (Bernardo), Bondavalli, D. (Davide), Borg, A. (Ake), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Briceno, I. (Ignacio), Broeks, A. (Annegien), Brucker, S. Y. (Sara Y.), Bruening, T. (Thomas), Burwinkel, B. (Barbara), Buys, S. S. (Saundra S.), Byers, H. (Helen), Caldes, T. (Trinidad), Caligo, M. A. (Maria A.), Calvello, M. (Mariarosaria), Campa, D. (Daniele), Castelao, J. E. (Jose E.), Chang-Claude, J. (Jenny), Chanock, S. J. (Stephen J.), Christiaens, M. (Melissa), Christiansen, H. (Hans), Chung, W. K. (Wendy K.), Claes, K. B. (Kathleen B. M.), Clarke, C. L. (Christine L.), Cornelissen, S. (Sten), Couch, F. J. (Fergus J.), Cox, A. (Angela), Cross, S. S. (Simon S.), Czene, K. (Kamila), Daly, M. B. (Mary B.), Devilee, P. (Peter), Diez, O. (Orland), Domchek, S. M. (Susan M.), Doerk, T. (Thilo), Dwek, M. (Miriam), Eccles, D. M. (Diana M.), Ekici, A. B. (Arif B.), Evans, D. G. (D. Gareth), Fasching, P. A. (Peter A.), Figueroa, J. (Jonine), Foretova, L. (Lenka), Fostira, F. (Florentia), Friedman, E. (Eitan), Frost, D. (Debra), Gago-Dominguez, M. (Manuela), Gapstur, S. M. (Susan M.), Garber, J. (Judy), Garcia-Saenz, J. A. (Jose A.), Gaudet, M. M. (Mia M.), Gayther, S. A. (Simon A.), Giles, G. G. (Graham G.), Godwin, A. K. (Andrew K.), Goldberg, M. S. (Mark S.), Goldgar, D. E. (David E.), Gonzalez-Neira, A. (Anna), Greene, M. H. (Mark H.), Gronwald, J. (Jacek), Guenel, P. (Pascal), Haeberle, L. (Lothar), Hahnen, E. (Eric), Haiman, C. A. (Christopher A.), Hake, C. R. (Christopher R.), Hall, P. (Per), Hamann, U. (Ute), Harkness, E. F. (Elaine F.), Heemskerk-Gerritsen, B. A. (Bernadette A. M.), Hillemanns, P. (Peter), Hogervorst, F. B. (Frans B. L.), Holleczek, B. (Bernd), Hollestelle, A. (Antoinette), Hooning, M. J. (Maartje J.), Hoover, R. N. (Robert N.), Hopper, J. L. (John L.), Howell, A. (Anthony), Huebner, H. (Hanna), Hulick, P. J. (Peter J.), Imyanitov, E. N. (Evgeny N.), Isaacs, C. (Claudine), Izatt, L. (Louise), Jager, A. (Agnes), Jakimovska, M. (Milena), Jakubowska, A. (Anna), James, P. (Paul), Janavicius, R. (Ramunas), Janni, W. (Wolfgang), John, E. M. (Esther M.), Jones, M. E. (Michael E.), Jung, A. (Audrey), Kaaks, R. (Rudolf), Kapoor, P. M. (Pooja Middha), Karlan, B. Y. (Beth Y.), Keeman, R. (Renske), Khan, S. (Sofia), Khusnutdinova, E. (Elza), Kitahara, C. M. (Cari M.), Ko, Y.-D. (Yon-Dschun), Konstantopoulou, I. (Irene), Koppert, L. B. (Linetta B.), Koutros, S. (Stella), Kristensen, V. N. (Vessela N.), Laenkholm, A.-V. (Anne-Vibeke), Lambrechts, D. (Diether), Larsson, S. C. (Susanna C.), Laurent-Puig, P. (Pierre), Lazaro, C. (Conxi), Lazarova, E. (Emilija), Lejbkowicz, F. (Flavio), Leslie, G. (Goska), Lesueur, F. (Fabienne), Lindblom, A. (Annika), Lissowska, J. (Jolanta), Lo, W.-Y. (Wing-Yee), Loud, J. T. (Jennifer T.), Lubinski, J. (Jan), Lukomska, A. (Alicja), Maclnnis, R. J. (Robert J.), Mannermaa, A. (Arto), Manoochehri, M. (Mehdi), Manoukian, S. (Siranoush), Margolin, S. (Sara), Martinez, M. E. (Maria Elena), Matricardi, L. (Laura), McGuffog, L. (Lesley), McLean, C. (Catriona), Mebirouk, N. (Noura), Meindl, A. (Alfons), Menon, U. (Usha), Miller, A. (Austin), Mingazheva, E. (Elvira), Montagna, M. (Marco), Mulligan, A. M. (Anna Marie), Mulot, C. (Claire), Muranen, T. A. (Taru A.), Nathanson, K. L. (Katherine L.), Neuhausen, S. L. (Susan L.), Nevanlinna, H. (Heli), Neven, P. (Patrick), Newman, W. G. (William G.), Nielsens, F. C. (Finn C.), Nikitina-Zake, L. (Liene), Nodora, J. (Jesse), Offit, K. (Kenneth), Olah, E. (Edith), Olopade, O. I. (Olufunmilayo, I), Olsson, H. (Hakan), Orr, N. (Nick), Papi, L. (Laura), Papp, J. (Janos), Park-Simon, T.-W. (Tjoung-Won), Parsons, M. T. (Michael T.), Peissel, B. (Bernard), Peixoto, A. (Ana), Peshkin, B. (Beth), Peterlongo, P. (Paolo), Peto, J. (Julian), Phillips, K.-A. (Kelly-Anne), Piedmonte, M. (Marion), Plaseska-Karanfilska, D. (Dijana), Prajzendanc, K. (Karolina), Prentice, R. (Ross), Prokofyeva, D. (Darya), Rack, B. (Brigitte), Radice, P. (Paolo), Ramus, S. J. (Susan J.), Rantala, J. (Johanna), Rashid, M. U. (Muhammad U.), Rennert, G. (Gad), Rennert, H. S. (Hedy S.), Risch, H. A. (Harvey A.), Romero, A. (Atocha), Rookus, M. A. (Matti A.), Ruebner, M. (Matthias), Ruediger, T. (Thomas), Saloustros, E. (Emmanouil), Sampson, S. (Sarah), Sandler, D. P. (Dale P.), Sawyer, E. J. (Elinor J.), Scheuner, M. T. (Maren T.), Schmutzler, R. K. (Rita K.), Schneeweiss, A. (Andreas), Schoemaker, M. J. (Minouk J.), Schoettker, B. (Ben), Schuermann, P. (Peter), Senter, L. (Leigha), Sharma, P. (Priyanka), Sherman, M. E. (Mark E.), Shu, X.-O. (Xiao-Ou), Singer, C. F. (Christian F.), Smichkoska, S. (Snezhana), Soucy, P. (Penny), Southey, M. C. (Melissa C.), Spinelli, J. J. (John J.), Stone, J. (Jennifer), Stoppa-Lyonnet, D. (Dominique), Swerdlow, A. J. (Anthony J.), Szabo, C. I. (Csilla, I), Tamimi, R. M. (Rulla M.), Tapper, W. J. (William J.), Taylor, J. A. (Jack A.), Teixeira, M. R. (Manuel R.), Terry, M. (MaryBeth), Thomassen, M. (Mads), Thull, D. L. (Darcy L.), Tischkowitz, M. (Marc), Toland, A. E. (Amanda E.), Tollenaar, R. A. (Rob A. E. M.), Tomlinson, I. (Ian), Torres, D. (Diana), Troester, M. A. (Melissa A.), Truong, T. (Therese), Tung, N. (Nadine), Untch, M. (Michael), Vachon, C. M. (Celine M.), van den Ouweland, A. M. (Ans M. W.), van der Kolk, L. E. (Lizet E.), van Veen, E. M. (Elke M.), vanRensburg, E. J. (Elizabeth J.), Vega, A. (Ana), Wappenschmidt, B. (Barbara), Weinberg, C. R. (Clarice R.), Weitzel, J. N. (Jeffrey N.), Wildiers, H. (Hans), Winqvist, R. (Robert), Wolk, A. (Alicja), Yang, X. R. (Xiaohong R.), Yannoukakos, D. (Drakoulis), Zheng, W. (Wei), Zorn, K. K. (Kristin K.), Milne, R. L. (Roger L.), Kraft, P. (Peter), Simard, J. (Jacques), Pharoah, P. D. (Paul D. P.), Michailidou, K. (Kyriaki), Antoniou, A. C. (Antonis C.), Schmidt, M. K. (Marjanka K.), Chenevix-Trench, G. (Georgia), Easton, D. F. (Douglas F.), Chatterjee, N. (Nilanjan), and Garcia-Closas, M. (Montserrat)
Abstract: Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P
Published: 2020

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

Author: Nunez-Torres R, Martin M, Garcia-Saenz J, Rodrigo-Faus M, Del Monte-Millan M, Tejera-Perez H, Pita G, de la Torre-Montero J, Pinilla K, Herraez B, Peiro-Chova L, Bermejo B, Lluch A, and Gonzalez-Neira A
Abstract: Importance: Persistent chemotherapy-induced alopecia (pCIA) has been recently described in patients with breast cancer and in its most severe form occurs in up to 10% of these patients. Genetic risk factors associated with pCIA have not been adequately explored.; Objective: To identify genetic variants associated with pCIA.; Design, Setting, and Participants: In this genetic association study, 215 women with breast cancer treated with docetaxel-based chemotherapy with a follow-up of 1.5 to 10 years after the end of the treatment were recruited retrospectively through 3 hospital oncology units across Spain between 2005 and 2018. Severe pCIA was defined as lack of scalp hair recovery (Common Terminology Criteria for Adverse Events, version 3.0, grade 2) 18 months or more after the end of treatment. Patients with grade 2 pCIA were selected as cases, and those with no sign of residual alopecia 12 months after the end of docetaxel treatment were selected as controls. A genome-wide association study in a discovery phase was conducted, and logistic regression was used to identify variants associated with the risk to develop this adverse effect. The validity of the association was addressed through a replication phase.; Exposures: Docetaxel-based chemotherapy.; Main Outcomes and Measures: Genotypes of single-nucleotide variants associated with pCIA.; Results: In total, 215 women with breast cancer (median age, 51.6 years; interquartile range, 44-60 years) were recruited (173 patients for the discovery phase and 42 patients for the replication phase). In the discovery phase, ABCB1 genetic variants were associated with risk to develop pCIA. In particular, single-nucleotide variation rs1202179, a regulatory variant located in an enhancer element that interacts with the ABCB1 promoter, was associated with the occurrence of pCIA. This finding was validated in the replication cohort (combined odds ratio, 4.05; 95% CI, 2.46-6.67; P=3.946*10-8). This variant is associated with ABCB1 mRNA expression, and the risk allele was associated with decreased ABCB1 expression levels (P=1.64*10-20).; Conclusions and Relevance: This is the first study, to our knowledge, that identifies an association between a regulatory variant in the ABCB1 gene and the occurrence of pCIA in patients with breast cancer who were treated with docetaxel-based therapies. This finding suggests an important insight into the biological mechanisms underlying pCIA and opens the opportunity to explore personalized treatment of these patients.
Published: 2020

25. 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

26. Fine-mapping of 150 breast cancer risk regions identifies 178 high confidence target genes

Author: Fachal, Laura, Aschard, Hugues, Beesley, Jonathan, Barnes, Daniel, Allen, Jamie, Kar, Siddhartha, Pooley, Karen, Dennis, Joe, Michailidou, Kyriaki, Turman, Constance, Soucy, Penny, Lemacon, Audrey, Lush, Michael, Tyrer, Jonathan, Ghoussaini, Maya, Moradi Marjaneh, Mahdi, Jiang, Xia, Agata, Simona, Aittomaki, Kristiina, Alonso, M. Rosario, Andrulis, Irene, Anton-Culver, Hoda, Antonenkova, Natalia, Arason, Adalgeir, Arndt, Volker, Aronson, Kristan, Arun, Banu, Auber, Bernd, Auer, Paul, Azzollini, Jacopo, Balmana, Judith, Barkardottir, Rosa, Barrowdale, Daniel, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bialkowska, Katarzyna, Blanco, Amie, Blomqvist, Carl, Blot, William, Bogdanova, Natalia, Bojesen, Stig, Bolla, Manjeet, Bonanni, Bernardo, Borg, Ake, Bosse, Kristin, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Brock, Ian, Brooks-Wilson, Angela, Bruning, Thomas, Burwinkel, Barbara, Buys, Saundra, Cai, Qiuyin, Caldes, Trinidad, Caligo, Maria, Camp, Nicola, Campbell, Ian, Canzian, Federico, Carroll, Jason, Carter, Brian, Castelao, Jose, Chiquette, Jocelyne, Christiansen, Hans, Chung, Wendy, Claes, Kathleen, Clarke, Christine, Collee, J. Margriet, Cornelissen, Sten, Couch, Fergus, Cox, Angela, Cross, Simon, Cybulski, Cezary, Czene, Kamila, Daly, Mary, de la Hoya, Miguel, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Dite, Gillian, Domchek, Susan, Dork, Thilo, dos-Santos-Silva, Isabel, Droit, Arnaud, Dubois, Stephane, Dumont, Martine, Duran, Mercedes, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana, Engel, Christoph, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter, Fletcher, Olivia, Floris, Giuseppe, Flyger, Henrik, Foretova, Lenka, Foulkes, William, Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gabrielson, Marike, Gago-Dominguez, Manuela, Gambino, Gaetana, Ganz, Patricia, Gapstur, Susan, Garber, Judy, Garcia-Saenz, Jose, Gaudet, Mia, Georgoulias, Vassilios, Giles, Graham, Glendon, Gord, Godwin, Andrew, Goldberg, Mark, Goldgar, David, Gonzalez-Neira, Anna, Greene, Mark, Grip, Mervi, Gronwald, Jacek, Grundy, Anne, Guenel, Pascal, Hahnen, Eric, Haiman, Christopher, Hakansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia, Hartikainen, Jaana, Hartman, Mikael, He, Wei, Healey, Catherine, Heemskerk-Gerritsen, Bernadette, Heyworth, Jane, Hillemanns, Peter, Hogervorst, Frans, Hollestelle, Antoinette, Hooning, Maartje, Hopper, John, Howell, Anthony, Huang, Guanmengqian, Hulick, Peter, Imyanitov, Evgeny, Isaacs, Claudine, Iwasaki, Motoki, Jager, Agnes, Jakimovska, Milena, Jakubowska, Anna, James, Paul, Janavicius, Ramunas, Jankowitz, Rachel, John, Esther, Johnson, Nichola, Jones, Michael, Jukkola-Vuorinen, Arja, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Karlan, Beth, Keeman, Renske, Kerin, Michael, Khusnutdinova, Elza, Kiiski, Johanna, Kirk, Judy, Kitahara, Cari, Ko, Yon-Dschun, Konstantopoulou, Irene, Kosma, Veli-Matti, Koutros, Stella, Kubelka-Sabit, Katerina, Kwong, Ava, Kyriacou, Kyriacos, Laitman, Yael, Lambrechts, Diether, Lee, Eunjung, Leslie, Goska, Lester, Jenny, Lesueur, Fabienne, Lindblom, Annika, Lo, Wing-Yee, Long, Jirong, Lophatananon, Artitaya, Loud, Jennifer, Lubinski, Jan, MacInnis, Robert, Maishman, Tom, Makalic, Enes, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Matsuo, Keitaro, Maurer, Tabea, Mavroudis, Dimitrios, Mayes, Rebecca, McGuffog, Lesley, McLean, Catriona, Mebirouk, Noura, Meindl, Alfons, Middha, Pooja, Miller, Nicola, Miller, Austin, Montagna, Marco, Moreno, Fernando, Mulligan, Anna Marie, Munoz-Garzon, Victor, Muranen, Taru, Narod, Steven, Nassir, Rami, Nathanson, Katherine, Neuhausen, Susan, Nevanlinna, Heli, Neven, Patrick, Nielsen, Finn, Nikitina-Zake, Liene, Norman, Aaron, Offit, Kenneth, Olah, Edith, Olopade, Olufunmilayo, Olsson, Hakan, Orr, Nick, Osorio, Ana, Pankratz, V. Shane, Papp, Janos, Park, Sue, Park-Simon, Tjoung-Won, Parsons, Michael, Paul, James, Pedersen, Inge Sokilde, Peissel, Bernard, Peshkin, Beth, Peterlongo, Paolo, Peto, Julian, Plaseska-Karanfilska, Dijana, Prajzendanz, Karolina, Prentice, Ross, Presneau, Nadege, Prokofyeva, Darya, Pujana, Miquel Angel, Pylkas, Katri, Radice, Paolo, Ramus, Susan, Rantala, Johanna, Rau-Murthy, Rohini, Rennert, Gad, Risch, Harvey, Robson, Mark, Romero, Atocha, Rossing, Caroline Maria, Saloustros, Emmanouil, Sanchez-Herrero, Estela, Sandler, Dale, Santamarina, Marta, Saunders, Christobel, Sawyer, Elinor, Scheuner, Maren, Schmidt, Daniel, Schmutzler, Rita, Schneeweiss, Andreas, Schoemaker, Minouk, Schottker, Ben, Schurmann, Peter, Scott, Christopher, Scott, Rodney, Senter, Leigha, Seynaeve, Caroline, Shah, Mitul, Sharma, Priyanka, Shen, Chen-Yang, Shu, Xiao-Ou, Singer, Christian, Slavin, Thomas, Smichkoska, Snezhana, Southey, Melissa, Spinelli, John, Spurdle, Amanda, Stone, Jennifer, Stoppa-Lyonnet, Dominique, Sutter, Christian, Swerdlow, Anthony, Tamimi, Rulla, Tan, Yen Yen, Tapper, William, Taylor, Jack, Teixeira, Manuel, Tengstrom, Maria, Teo, Soo, Terry, Mary Beth, Teule, Alex, Thomassen, Mads, Thull, Darcy, Tibiletti, Maria Grazia, Tischkowitz, Marc, Toland, Amanda, Tollenaar, Rob, Tomlinson, Ian, Torres, Diana, Torres-Mejia, Gabriela, Troester, Melissa, Tung, Nadine, Tzardi, Maria, Ulmer, Hans-Ulrich, Vachon, Celine, van Asperen, Christi, van der Kolk, Lizet, van Rensburg, Elizabeth, Vega, Ana, Viel, Alessandra, Vijai, Joseph, Vogel, Maatje, Wang, Qin, Wappenschmidt, Barbara, Weinberg, Clarice, Weitzel, Jeffrey, Wendt, Camilla, Wildiers, Hans, Winqvist, Robert, Wolk, Alicja, Wu, Anna, Yannoukakos, Drakoulis, Zhang, Yan, Zheng, Wei, Pharoah, Paul, Chang-Claude, Jenny, Garcia-Closas, Montserrat, Schmidt, Marjanka, Milne, Roger, Kristensen, Vessela, French, Juliet, Edwards, Stacey, Antoniou, Antonis, Chenevix-Trench, Georgia, Simard, Jacques, Easton, Douglas, Kraft, Peter, and Dunning, Alison
Subjects: 0303 health sciences, Linkage disequilibrium, In silico, Computational biology, Biology, 3. Good health, Chromatin, DNA binding site, 03 medical and health sciences, 0302 clinical medicine, 030220 oncology & carcinogenesis, Expression quantitative trait loci, Transcription factor, Gene, 030304 developmental biology, Genetic association
Abstract: Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants (CCVs) in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium, and enriched genomic features to determine variants with high posterior probabilities (HPPs) of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of potentially causal variants, using gene expression (eQTL), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways, were over-represented among the 178 highest confidence target genes.
Published: 2019
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27. Diseño de una metaheurística para la programación de la producción de máquinas en paralelo no relacionadas para minimizar la tardanza ponderada total, considerando la exposición de los operarios a sustancias químicas peligrosas

Author: Peña Molina, Lizeth, Gonzalez Neira, Eliana María, Jimenez Gordillo, Jose Fernando, and González Neira, Eliana María
Subjects: Algoritmos heurísticos, Industria química, Mejoramiento de procesos, Metaheurística, Maestría en ingeniería industrial - Tesis y disertaciones académicas
Abstract: Las industrias afrontan diariamente diferentes retos para incrementar su desempeño y la rentabilidad de sus operaciones, buscando un impacto mínimo en sus grupos de interés en los niveles social, económico y ambiental. La industria de químicos aromáticos no es ajena a esta realidad ya que se enfrenta a requerimientos mundiales de nuevos productos, cada vez con mejor desempeño y nivel de innovación, incrementando el riesgo tanto para los colaboradores, que entran en contacto con las sustancias químicas involucradas, como para el medio ambiente en todos los aspectos de emisiones y vertimientos. Este trabajo estudia el problema de programación de la producción en una empresa productora de fragancias considerando el control de los tiempos de exposición de los operarios a sustancias peligrosas, buscando prevenir las enfermedades crónicas a largo plazo causadas por esta exposición. El entorno productivo de la empresa consiste en máquinas en paralelo no relacionadas, donde hay producción por lotes multiproducto para minimizar la tardanza ponderada total. Para la solución del problema se determinaron en primera instancia los tiempos adecuados de mezcla para un lote de cada tipo de producto y los de alistamiento de equipos dependiendo de la secuencia de producción. Posteriormente, se desarrolló el modelo matemático y se propuso la metaheurística GRASP como método de solución para las instancias reales. Obteniendo un procedimiento que condujo a mejorar la tardanza ponderada total en 15 instancias reales, en comparación con la estrategia actual de programación, garantizando que la exposición a las sustancias químicas peligrosas evaluadas no se supera en ninguno de los casos. Para obtener dichos resultados se realizó una validación de parámetros del algoritmo determinando el parámetro α del GRASP como 0,6 y seleccionando realizar 500 iteraciones para la obtención de los resultados. Magíster en Ingeniería Industrial Maestría
Published: 2019

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

Author: Escala-Garcia, M. (Maria), Guo, Q. (Qi), Doerk, T. (Thilo), Canisius, S. (Sander), Keeman, R. (Renske), Dennis, J. (Joe), Beesley, J. (Jonathan), Lecarpentier, J. (Julie), Bolla, M. K. (Manjeet K.), Wang, Q. (Qin), Abraham, J. (Jean), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Arndt, V. (Volker), Auer, P. L. (Paul L.), Beckmann, M. W. (Matthias W.), Behrens, S. (Sabine), Benitez, J. (Javier), Bermisheva, M. (Marina), Bernstein, L. (Leslie), Blomqvist, C. (Carl), Boeckx, B. (Bram), Bojesen, S. E. (Stig E.), Bonanni, B. (Bernardo), Borresen-Dale, A.-L. (Anne-Lise), Brauch, H. (Hiltrud), Brenner, H. (Hermann), Brentnall, A. (Adam), Brinton, L. (Louise), Broberg, P. (Per), Brock, I. W. (Ian W.), Brucker, S. Y. (Sara Y.), Burwinkel, B. (Barbara), Caldas, C. (Carlos), Caldes, T. (Trinidad), Campa, D. (Daniele), Canzian, F. (Federico), Carracedo, A. (Angel), Carter, B. D. (Brian D.), Castelao, J. E. (Jose E.), Chang-Claude, J. (Jenny), Chanock, S. J. (Stephen J.), Chenevix-Trench, G. (Georgia), Cheng, T. D. (Ting-Yuan David), Chin, S.-F. (Suet-Feung), Clarke, C. L. (Christine L.), Cordina-Duverger, E. (Emilie), Couch, F. J. (Fergus J.), Cox, D. G. (David G.), Cox, A. (Angela), Cross, S. S. (Simon S.), Czene, K. (Kamila), Daly, M. B. (Mary B.), Devilee, P. (Peter), Dunn, J. A. (Janet A.), Dunning, A. M. (Alison M.), Durcan, L. (Lorraine), Dwek, M. (Miriam), Earl, H. M. (Helena M.), Ekici, A. B. (Arif B.), Eliassen, A. H. (A. Heather), Ellberg, C. (Carolina), Engel, C. (Christoph), Eriksson, M. (Mikael), Evans, D. G. (D. Gareth), Figueroa, J. (Jonine), Flesch-Janys, D. (Dieter), Flyger, H. (Henrik), Gabrielson, M. (Marike), Gago-Dominguez, M. (Manuela), Galle, E. (Eva), Gapstur, S. M. (Susan M.), Garcia-Closas, M. (Montserrat), Garcia-Saenz, J. A. (Jose A.), Gaudet, M. M. (Mia M.), George, A. (Angela), Georgoulias, V. (Vassilios), Giles, G. G. (Graham G.), Glendon, G. (Gord), Goldgar, D. E. (David E.), Gonzalez-Neira, A. (Anna), Alnaes, G. I. (Grethe I. Grenaker), Grip, M. (Mervi), Guenel, P. (Pascal), Haeberle, L. (Lothar), Hahnen, E. (Eric), Haiman, C. A. (Christopher A.), Hakansson, N. (Niclas), Hall, P. (Per), Hamann, U. (Ute), Hankinson, S. (Susan), Harkness, E. F. (Elaine F.), Harrington, P. A. (Patricia A.), Hart, S. N. (Steven N.), Hartikainen, J. M. (Jaana M.), Hein, A. (Alexander), Hillemanns, P. (Peter), Hiller, L. (Louise), Holleczek, B. (Bernd), Hollestelle, A. (Antoinette), Hooning, M. J. (Maartje J.), Hoover, R. N. (Robert N.), Hopper, J. L. (John L.), Howell, A. (Anthony), Huang, G. (Guanmengqian), Humphreys, K. (Keith), Hunter, D. J. (David J.), Janni, W. (Wolfgang), John, E. M. (Esther M.), Jones, M. E. (Michael E.), Jukkola-Vuorinen, A. (Arja), Jung, A. (Audrey), Kaaks, R. (Rudolf), Kabisch, M. (Maria), Kaczmarek, K. (Katarzyna), Kerin, M. J. (Michael J.), Khan, S. (Sofia), Khusnutdinova, E. (Elza), Kiiski, J. I. (Johanna, I), Kitahara, C. M. (Cari M.), Knight, J. A. (Julia A.), Ko, Y.-D. (Yon-Dschun), Koppert, L. B. (Linetta B.), Kosma, V.-M. (Veli-Matti), Kraft, P. (Peter), Kristensen, V. N. (Vessela N.), Kruger, U. (Ute), Kuehl, T. (Tabea), Lambrechts, D. (Diether), Le Marchand, L. (Loic), Lee, E. (Eunjung), Lejbkowicz, F. (Flavio), Li, L. (Lian), Lindblom, A. (Annika), Lindstrom, S. (Sara), Linet, M. (Martha), Lissowska, J. (Jolanta), Lo, W.-Y. (Wing-Yee), Loibl, S. (Sibylle), Lubinski, J. (Jan), Lux, M. P. (Michael P.), MacInnis, R. J. (Robert J.), Maierthaler, M. (Melanie), Maishman, T. (Tom), Makalic, E. (Enes), Mannermaa, A. (Arto), Manoochehri, M. (Mehdi), Manoukian, S. (Siranoush), Margolin, S. (Sara), Martinez, M. E. (Maria Elena), Mavroudis, D. (Dimitrios), McLean, C. (Catriona), Meindl, A. (Alfons), Middha, P. (Pooja), Miller, N. (Nicola), Milne, R. L. (Roger L.), Moreno, F. (Fernando), Mulligan, A. M. (Anna Marie), Mulot, C. (Claire), Nassir, R. (Rami), Neuhausen, S. L. (Susan L.), Newman, W. T. (William T.), Nielsen, S. F. (Sune F.), Nordestgaard, B. G. (Borge G.), Norman, A. (Aaron), Olsson, H. (Hakan), Orr, N. (Nick), Pankratz, V. S. (V. Shane), Park-Simon, T.-W. (Tjoung-Won), Perez, J. I. (Jose I. A.), Perez-Barrios, C. (Clara), Peterlongo, P. (Paolo), Petridis, C. (Christos), Pinchev, M. (Mila), Prajzendanc, K. (Karoliona), Prentice, R. (Ross), Presneau, N. (Nadege), Prokofieva, D. (Darya), Pylkas, K. (Katri), Rack, B. (Brigitte), Radice, P. (Paolo), Ramachandran, D. (Dhanya), Rennert, G. (Gadi), Rennert, H. S. (Hedy S.), Rhenius, V. (Valerie), Romero, A. (Atocha), Roylance, R. (Rebecca), Saloustros, E. (Emmanouil), Sawyer, E. J. (Elinor J.), Schmidt, D. F. (Daniel F.), Schmutzler, R. K. (Rita K.), Schneeweiss, A. (Andreas), Schoemaker, M. J. (Minouk J.), Schumacher, F. (Fredrick), Schwentner, L. (Lukas), Scott, R. J. (Rodney J.), Scott, C. (Christopher), Seynaeve, C. (Caroline), Shah, M. (Mitul), Simard, J. (Jacques), Smeets, A. (Ann), Sohn, C. (Christof), Southey, M. C. (Melissa C.), Swerdlow, A. J. (Anthony J.), Talhouk, A. (Aline), Tamimi, R. M. (Rulla M.), Tapper, W. J. (William J.), Teixeira, M. R. (Manuel R.), Tengstrom, M. (Maria), Terry, M. B. (Mary Beth), Thoene, K. (Kathrin), Tollenaar, R. A. (Rob A. E. M.), Tomlinson, I. (Ian), Torres, D. (Diana), Truong, T. (Therese), Turman, C. (Constance), Turnbull, C. (Clare), Ulmer, H.-U. (Hans-Ulrich), Untch, M. (Michael), Vachon, C. (Celine), van Asperen, C. J. (Christi J.), van den Ouweland, A. M. (Ans M. W.), van Veen, E. M. (Elke M.), Wendt, C. (Camilla), Whittemore, A. S. (Alice S.), Willett, W. (Walter), Winqvist, R. (Robert), Wolk, A. (Alicja), Yang, X. R. (Xiaohong R.), Zhang, Y. (Yan), Easton, D. F. (Douglas F.), Fasching, P. A. (Peter A.), Nevanlinna, H. (Heli), Eccles, D. M. (Diana M.), Pharoah, P. D. (Paul D. P.), and Schmidt, M. K. (Marjanka K.)
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 ~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 < 5 × 10−8. For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 × 10−7, hazard ratio [HR] = 0.88, 95% confidence interval [CI] = 0.84–0.92); the closest gene is AUTS2. For ER-negative disease, the most significant variant was chr7:rs67918676 (BFDP = 11%, P = 1.38 × 10−7, HR = 1.27, 95% CI = 1.16–1.39); located within a long intergenic non-coding RNA gene (AC004009.3), close to the HOXA gene cluster. Conclusions: We uncovered germline variants on chromosome 7 at BFDP
Published: 2019

29. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

Author: Mavaddat, N., Michailidou, K., Dennis, J., Lush, M., Fachal, L., Lee, A., Tyrer, J. P., Chen, T. H., Wang, Q., Bolla, M. K., Yang, X., Adank, M. A., Ahearn, T., Aittomaki, K., Allen, J., Andrulis, I. L., Anton-Culver, H., Antonenkova, N. N., Arndt, V., Aronson, K. J., Auer, P. L., Auvinen, P., Barrdahl, M., Beane Freeman, L. E., Beckmann, M. W., Behrens, S., Benitez, J., Bermisheva, M., Bernstein, L., Blomqvist, C., Bogdanova, N. V., Bojesen, S. E., Bonanni, B., Borresen-Dale, A. L., Brauch, H., Bremer, M., Brenner, H., Brentnall, A., Brock, I. W., Brooks-Wilson, A., Brucker, S. Y., Bruning, T., Burwinkel, B., Campa, D., Carter, B. D., Castelao Fernández, José Esteban, Chanock, S. J., Chlebowski, R., Christiansen, H., Clarke, C. L., Collee, J. M., Cordina-Duverger, E., Cornelissen, S., Couch, F. J., Cox, A., Cross, S. S., Czene, K., Daly, M. B., Devilee, P., Dork, T., Dos-Santos-Silva, I., Dumont, M., Durcan, L., Dwek, M., Eccles, D. M., Ekici, A. B., Eliassen, A. H., Ellberg, C., Engel, C., Eriksson, M., Evans, D. G., Fasching, P. A., Figueroa, J., Fletcher, O., Flyger, H., Forsti, A., Fritschi, L., Gabrielson, M., Gago Dominguez, Manuela, Gapstur, S. M., Garcia-Saenz, J. A., Gaudet, M. M., Georgoulias, V., Giles, G. G., Gilyazova, I. R., Glendon, G., Goldberg, M. S., Goldgar, D. E., Gonzalez-Neira, A., Grenaker Alnaes, G. I., Grip, M., Gronwald, J., Grundy, A., Guenel, P., Haeberle, L., Hahnen, E., Haiman, C. A., Hakansson, N., Hamann, U., Hankinson, S. E., Muñoz Garzón, Victor, and others
Subjects: Adult, Aged, 80 and over, Multifactorial Inheritance, anciano, humanos, Age Factors, Reproducibility of Results, Breast Neoplasms, neoplasias de la mama, predisposición genética a la enfermedad, Middle Aged, adulto, Risk Assessment, Polymorphism, Single Nucleotide, herencia multifactorial, reproducibilidad de resultados, Receptors, Estrogen, evaluación de riesgos, Humans, Genetic Predisposition to Disease, anamnesis, Female, Medical History Taking, mediana edad, Aged
Abstract: Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.
Published: 2019

30. 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

31. 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

32. 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

33. 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, MT, Li, HY, De Vecchi, G, Tudini, E, Foglia, C, Mondini, P, Manoukian, S, Behar, R, Garcia, EBG, Meindl, A, Montagna, M, Niederacher, D, Schmidt, AY, Varesco, L, Wappenschmidt, B, Bolla, MK, Dennis, J, Michailidou, K, Wang, Q, Aittomaki, K, Andrulis, IL, Anton-Culver, H, Arndt, V, Beckmann, MW, Beeghly-Fadel, A, Benitez, J, Boeckx, B, Bogdanova, NV, Bojesen, SE, Bonanni, B, Brauch, H, Brenner, H, Burwinkel, B, Chang-Claude, J, Conroy, D M, Couch, FJ, Cox, A, Cross, SS, Czene, K, Devilee, P, Dork, T, Eriksson, M, Fasching, PA, Figueroa, J, Fletcher, O, Flyger, H, Gabrielson, M, Garcia-Closas, M, Giles, GG, Gonzalez-Neira, A, Guenel, P, Haiman, CA, Hall, P, Hamann, U, Hartman, M, Hauke, J, Hollestelle, Antoinette, Hopper, JL, Jakubowska, A, Jung, A, Kosma, VM, Lambrechts, D, Le Marchand, L, Lindblom, A, Lubinski, J, Mannermaa, A, Margolin, S, Miao, H, Milne, RL, Neuhausen, SL, Nevanlinna, H, Olson, JE, Peterlongo, P, Peto, J, Pylkas, K, Sawyer, EJ, Schmidt, MK (Marjanka), Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, See, MH, Southey, MC, Swerdlow, A, Teo, SH, Toland, AE, Tomlinson, I, Truong, T, van Asperen, CJ, van den Ouweland, Ans, van der Kolk, LE, Winqvist, R, Yannoukakos, D, Zheng, W, Dunning, AM, Easton, DF, Henderson, A, Hogervorst, FBL, Izatt, L, Offitt, K, Side, LE, van Rensburg, EJ, McGuffog, L, Antoniou, AC, Chenevix-Trench, G, Spurdle, AB, Goldgar, DE, de la Hoya, M, Radice, P, Medical Oncology, and Clinical Genetics
Subjects: digital PCR, multifactorial likelihood analysis, spliceogenic variants, quantitative real-time PCR, BRCA2
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

34. Genome-wide association study identifies multiple new loci associated with Ewing sarcoma susceptibility

Author: Machiela, M.J. (Mitchell J.), Grünewald, T.G.P. (Thomas G. P.), Surdez, D. (Didier), Reynaud, S. (Stephanie), Mirabeau, O. (Olivier), Karlins, E. (Eric), Rubio, R.A. (Rebeca Alba), Zaidi, S. (Sakina), Grossetete-Lalami, S. (Sandrine), Ballet, S. (Stelly), Lapouble, E. (Eve), Laurence, V. (Valérie), Michon, J. (Jean), Pierron, G. (Gaelle), Kovar, H. (Heinrich), Gaspar, N. (Nathalie), Kontny, U. (Udo), Gonzalez-Neira, A. (Anna), Picci, P. (Piero), Alonso, J. (Javier), Patiño-García, A. (Ana), Corradini, N. (Nadege), Bérard, P.M. (Perrine Marec), Freedman, N.D. (Neal D.), Rothman, N. (Nathaniel), Dagnall, C. (Casey), Burdett, L. (Laurie), Jones, K. (Krisitine), Manning, M. (Michelle), Wyatt, K. (Kathleen), Zhou, W. (Weiyin), Yeager, M. (Meredith), Cox, D.G. (David G.), Hoover, R.N. (Robert N.), Khan, J. (Javed), Armstrong, G.T. (Gregory T.), Leisenring, W.M. (Wendy M.), Bhatia, S. (Smita), Robison, L.L. (Leslie L.), Kulozik, A. (Andreas E.), Kriebel, J. (Jennifer), Meitinger, T. (Thomas), Metzler, M. (Markus), Hartmann, W. (Wolfgang), Strauch, K. (Konstantin), Kirchner, T. (Thomas), Dirksen, U. (Uta), Morton, L.M. (Lindsay M.), Mirabello, L. (Lisa), Tucker, M. (Margaret), Tirode, F. (Franck), Chanock, S.J. (Stephen J.), and Delattre, O. (Olivier)
Subjects: Genome-wide association study, Ewing sarcoma (EWS), Pediatric cancer
Abstract: Ewing sarcoma (EWS) is a pediatric cancer characterized by the EWSR1-FLI1 fusion. We performed a genome-wide association study of 733 EWS cases and 1346 unaffected individuals of European ancestry. Our study replicates previously reported susceptibility loci at 1p36.22, 10q21.3 and 15q15.1, and identifies new loci at 6p25.1, 20p11.22 and 20p11.23. Effect estimates exhibit odds ratios in excess of 1.7, which is high for cancer GWAS, and striking in light of the rarity of EWS cases in familial cancer syndromes. Expression quantitative trait locus (eQTL) analyses identify candidate genes at 6p25.1 (RREB1) and 20p11.23 (KIZ). The 20p11.22 locus is near NKX2-2, a highly overexpressed gene in EWS. Interestingly, most loci reside near GGAA repeat sequences and may disrupt binding of the EWSR1-FLI1 fusion protein. The high locus to case discovery ratio from 733 EWS cases suggests a genetic architecture in which moderate risk SNPs constitute a significant fraction of risk.
Published: 2018

35. Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

Author: Amin Al Olama, Ali, Dadaev, Tokhir, Hazelett, Dennis J., Li, Qiuyan, Leongamornlert, Daniel, Saunders, Edward J., Stephens, Sarah, Cieza-Borrella, Clara, Whitmore, Ian, Benlloch Garcia, Sara, Giles, Graham G., Southey, Melissa C., Fitzgerald, Liesel, Gronberg, Henrik, Wiklund, Fredrik, Aly, Markus, Henderson, Brian E., Schumacher, Fredrick, Haiman, Christopher A., Schleutker, Johanna, Wahlfors, Tiina, Tammela, Teuvo L., Nordestgaard, Børge G., Key, Tim J., Travis, Ruth C., Neal, David E., Donovan, Jenny L., Hamdy, Freddie C., Pharoah, Paul, Pashayan, Nora, Khaw, Kay-Tee, Stanford, Janet L., Thibodeau, Stephen N., Mcdonnell, Shannon K., Schaid, Daniel J., Maier, Christiane, Vogel, Walther, Luedeke, Manuel, Herkommer, Kathleen, Kibel, Adam S., Cybulski, Cezary, Wokołorczyk, Dominika, Kluzniak, Wojciech, Cannon-Albright, Lisa, Brenner, Hermann, Butterbach, Katja, Arndt, Volker, Park, Jong Y., Sellers, Thomas, Lin, Hui-Yi, Slavov, Chavdar, Kaneva, Radka, Mitev, Vanio, Batra, Jyotsna, Clements, Judith A., Spurdle, Amanda, Teixeira, Manuel R., Paulo, Paula, Maia, Sofia, Pandha, Hardev, Michael, Agnieszka, Kierzek, Andrzej, Govindasami, Koveela, Guy, Michelle, Lophatonanon, Artitaya, Muir, Kenneth, Viñuela, Ana, Brown, Andrew A., Freedman, Mathew, Conti, David V., Easton, Douglas, Coetzee, Gerhard A., Eeles, Rosalind A., Kote-Jarai, Zsofia, Easton, Douglas F., Michailidou, Kyriaki, Bolla, Manjeet K., Wang, Qin, Berchuck, Andrew, Al Olama, Ali Amin, Benlloch, Sara, Chenevix-Trench, Georgia, Antoniou, Antonis, McGuffog, Lesley, Couch, Fergus, Offit, Ken, Dennis, Joe, Dunning, Alison M., Lee, Andrew, Dicks, Ed, Luccarini, Craig, Benitez, Javier, Gonzalez-Neira, Anna, Simard, Jacques, Tessier, Daniel C., Bacot, Francois, Vincent, Daniel, LaBoissière, Sylvie, Robidoux, Frederic, Bojesen, Stig E., Nielsen, Sune F., Nordestgaard, Borge G., Cunningham, Julie M., Windebank, Sharon A., Hilker, Christopher A., and Meyer, Jeffrey
Abstract: Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same region
Published: 2017

36. Bromodomain protein 4 discriminates tissue-specific super-enhancers containing disease-specific susceptibility loci in prostate and breast cancer

Author: Zuber, V, Bettella, F, Witoelar, A, Andreassen, OA, Mills, IG, Urbanucci, A, Eeles, R, Easton, D, Kote-Jarai, Z, Al Olama, AA, Benlloch, S, Muir, K, Giles, GG, Wiklund, F, Gronberg, H, Haiman, CA, Schleutker, J, Weischer, M, Travis, RC, Neal, D, Pharoah, P, Khaw, KT, Stanford, JL, Blot, WJ, Thibodeau, S, Maier, C, Kibel, AS, Cybulski, C, Cannon-Albright, L, Brenner, H, Park, J, Kaneva, R, Batra, J, Teixeira, MR, Pandha, H, Chenevix-Trench, G, Humphreys, M, Hung, RJ, Han, Y, Brennan, P, Bickeböller, H, Rosenberger, A, Houlston, RS, Caporaso, N, Landi, MT, Heinrich, J, Risch, A, Wu, X, Ye, Y, Christiani, DC, Amos, CI, Easton, DF, Michailidou, K, Bolla, MK, Wang, Q, Berchuck, A, Antoniou, A, McGuffog, L, Couch, F, Offit, K, Dennis, J, Dunning, AM, Lee, A, Dicks, E, Luccarini, C, Benitez, J, Gonzalez-Neira, A, Simard, J, Tessier, DC, Bacot, F, Vincent, D, LaBoissière, S, Zuber, Verena [0000-0001-9827-1877], Pharoah, Paul [0000-0001-8494-732X], Khaw, Kay-Tee [0000-0002-8802-2903], Easton, Douglas [0000-0003-2444-3247], Wang, Jean [0000-0002-9139-0627], Antoniou, Antonis [0000-0001-9223-3116], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Lee, Andrew [0000-0003-0677-0252], Dicks, Ed [0000-0002-0617-0401], and Apollo - University of Cambridge Repository
Subjects: risk loci, schizophrenia, breast cancer risk, super-enhancer, genome-wide association studies, BRD4, chromatin, functional annotation, prostate cancer risk, SNPs
Abstract: $\textbf{Background:}$ Epigenetic information can be used to identify clinically relevant genomic variants single nucleotide polymorphisms (SNPs) of functional importance in cancer development. Super-enhancers are cell-specific DNA elements, acting to determine tissue or cell identity and driving tumor progression. Although previous approaches have been tried to explain risk associated with SNPs in regulatory DNA elements, so far epigenetic readers such as bromodomain containing protein 4 (BRD4) and super-enhancers have not been used to annotate SNPs. In prostate cancer (PC), androgen receptor (AR) binding sites to chromatin have been used to inform functional annotations of SNPs. $\textbf{Results:}$ Here we establish criteria for enhancer mapping which are applicable to other diseases and traits to achieve the optimal tissue-specific enrichment of PC risk SNPs. We used stratified Q-Q plots and Fisher test to assess the differential enrichment of SNPs mapping to specific categories of enhancers. We find that BRD4 is the key discriminant of tissue-specific enhancers, showing that it is more powerful than AR binding information to capture PC specific risk loci, and can be used with similar effect in breast cancer (BC) and applied to other diseases such as schizophrenia. $\textbf{Conclusions:}$ This is the first study to evaluate the enrichment of epigenetic readers in genome-wide associations studies for SNPs within enhancers, and provides a powerful tool for enriching and prioritizing PC and BC genetic risk loci. Our study represents a proof of principle applicable to other diseases and traits that can be used to redefine molecular mechanisms of human phenotypic variation.
Published: 2017
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37. 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

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

Author: Ghoussaini, Maya, French, Juliet D., Michailidou, Kyriaki, Nord, Silje, Beesley, Jonathan, Canisus, Sander, Hillman, Kristine M., Kaufmann, Susanne, Sivakumaran, Haran, Marjaneh, Mandi Moradi, Lee, Jason S., Dennis, Joe, Bolla, Manjeet K., Wang, Qin, Dicks, Ed, Milne, Roger L., Hopper, John L., Southey, Melissa C., Schmidt, Marjanka K., Broeks, Annegien, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A., Beckmann, Matthias W., Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J., Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guenel, Pascal, Truong, Therese, Bojesen, Stig E., Flyger, Henrik, Benitez, Javier, Gonzalez-Neira, Anna, Alonso, Rosario, Pita, Guillermo, Neuhausen, Susan L., Anton-Culver, Hoda, Brenner, Hermann, Arndt, Volker, Meindl, Alfons, Schmutzler, Rita K., Brauch, Hiltrud, Hamann, Ute, Tessier, Daniel C., Vincent, Daniel, Nevanlinna, Heli, Khan, Sofia, kConFab AOCS, NBCS Collaborators, Department of Obstetrics and Gynecology, and Clinicum
Subjects: 2Q35, 3123 Gynaecology and paediatrics, 3122 Cancers, RISK VARIANTS, LOCUS, COMMON VARIANTS, 3111 Biomedicine, GENOME-WIDE ASSOCIATION, FOXA1, TUMORS
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 44,394,49545,364,167; 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 ER+ = 1.15; 95% CI 1.13-1.18; p = 8.35 x 10(-3)). 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 x 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 x 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 similar to 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

39. Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Kar, Siddhartha P, Beesley, Jonathan, Amin Al Olama, Ali, Michailidou, Kyriaki, Tyrer, Jonathan, Kote-Jarai, ZSofia, Lawrenson, Kate, Lindstrom, Sara, Ramus, Susan J, Thompson, Deborah J, ABCTB Investigators, Kibel, Adam S, Dansonka-Mieszkowska, Agnieszka, Michael, Agnieszka, Dieffenbach, Aida K, Gentry-Maharaj, Aleksandra, Whittemore, Alice S, Wolk, Alicja, Monteiro, Alvaro, Peixoto, Ana, Kierzek, Andrzej, Cox, Angela, Rudolph, Anja, Gonzalez-Neira, Anna, Wu, Anna H, Lindblom, Annika, Swerdlow, Anthony, AOCS Study Group & Australian Cancer Study (Ovarian Cancer), APCB BioResource, Ziogas, Argyrios, Ekici, Arif B, Burwinkel, Barbara, Karlan, Beth Y, Nordestgaard, Børge G, Blomqvist, Carl, Phelan, Catherine, McLean, Catriona, Pearce, Celeste Leigh, Vachon, Celine, Cybulski, Cezary, Slavov, Chavdar, Stegmaier, Christa, Maier, Christiane, Ambrosone, Christine B, Høgdall, Claus K, Teerlink, Craig C, Kang, Daehee, Tessier, Daniel C, Schaid, Daniel J, Stram, Daniel O, Cramer, Daniel W, Neal, David E, Eccles, Diana, Flesch-Janys, Dieter, Edwards, Digna R Velez, Wokozorczyk, Dominika, Levine, Douglas A, Yannoukakos, Drakoulis, Sawyer, Elinor J, Bandera, Elisa V, Poole, Elizabeth M, Goode, Ellen L, Khusnutdinova, Elza, Høgdall, Estrid, Song, Fengju, Bruinsma, Fiona, Heitz, Florian, Modugno, Francesmary, Hamdy, Freddie C, Wiklund, Fredrik, Giles, Graham G, Olsson, Håkan, Wildiers, Hans, Ulmer, Hans-Ulrich, Pandha, Hardev, Risch, Harvey A, Darabi, Hatef, Salvesen, Helga B, Nevanlinna, Heli, Gronberg, Henrik, Brenner, Hermann, Brauch, Hiltrud, Anton-Culver, Hoda, Song, Honglin, Lim, Hui-Yi, McNeish, Iain, Campbell, Ian, Vergote, Ignace, Gronwald, Jacek, Lubiński, Jan, Stanford, Janet L, Benítez, Javier, Doherty, Jennifer A, Permuth, Jennifer B, Chang-Claude, Jenny, Donovan, Jenny L, Dennis, Joe, Schildkraut, Joellen M, Schleutker, Johanna, and Hopper, John L
Subjects: AOCS Study Group & Australian Cancer Study, Male, Urologic Diseases, Aging, Enhancer Elements, Quantitative Trait Loci, Oncology and Carcinogenesis, ABCTB Investigators, Datasets as Topic, Breast Neoplasms, NBCS Investigators, APCB BioResource, PRACTICAL consortium, Rare Diseases, Meta-Analysis as Topic, Genetic, Breast Cancer, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Gene Regulatory Networks, Aetiology, Polymorphism, Cancer, Ovarian Neoplasms, Prostate Cancer, Human Genome, Prostatic Neoplasms, Chromosome Mapping, Single Nucleotide, Ovarian Cancer, Organ Specificity, Genetic Loci, Case-Control Studies, kConFab Investigators, Female, GENICA Network, Signal Transduction, Genome-Wide Association Study
Abstract: UnlabelledBreast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10(-8) seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10(-5) in the three-cancer meta-analysis.SignificanceWe demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052-67. ©2016 AACR.This article is highlighted in the In This Issue feature, p. 932.
Published: 2016

40. Genome-wide meta-analyses of breast, ovarian, and prostate cancer association studies identify multiple new susceptibility loci shared by at least two cancer types

Author: Kar, SP, Beesley, J, Al Olama, AA, Michailidou, K, Tyrer, J, Kote-Jarai, ZA, Lawrenson, K, Lindstrom, S, Ramus, SJ, Thompson, DJ, Kibel, AS, Dansonka-Mieszkowska, A, Michael, A, Dieffenbach, AK, Gentry-Maharaj, A, Whittemore, AS, Wolk, A, Monteiro, A, Peixoto, A, Kierzek, A, Cox, A, Rudolph, A, Gonzalez-Neira, A, Wu, AH, Lindblom, A, Swerdlow, A, Ziogas, A, Ekici, AB, Burwinkel, B, Karlan, BY, Nordestgaard, BG, Blomqvist, C, Phelan, C, McLean, C, Pearce, CL, Vachon, C, Cybulski, C, Slavov, C, Stegmaier, C, Maier, C, Ambrosone, CB, Hogdall, CK, Teerlink, CC, Kang, D, Tessier, DC, Schaid, DJ, Stram, DO, Cramer, DW, Neal, DE, Eccles, D, Flesch-Janys, D, Velez Edwards, DR, Wokozorczyk, D, Levine, DA, Yannoukakos, D, Sawyer, EJ, Bandera, EV, Poole, EM, Goode, EL, Khusnutdinova, E, Hogdall, E, Song, F, Bruinsma, F, Heitz, F, Modugno, F, Hamdy, FC, Wiklund, F, Giles, GG, Olsson, H, Wildiers, H, and Ulmer, HU
Abstract: © 2016 American Association for Cancer Research. Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10−8 seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/ BCL2L11; rs7937840/11q12/ INCENP; rs1469713/19p13/ GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/ SMC2; rs8037137/15q26/ RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/ NSUN4; rs9375701/6q23/ L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10−5 in the three-cancer meta-analysis. SIGNIFICANCE: We demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers.
Published: 2016

41. Fine-Mapping of the 1p11.2 Breast Cancer Susceptibility Locus

Author: Horne, Hisani N., Chung, Charles C., Zhang, Han, Yu, Kai, Prokunina-Olsson, Ludmila, Michailidou, Kyriaki, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Hopper, John L., Southey, Melissa C., Schmidt, Marjanka K., Broeks, Annegien, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A., Beckmann, Matthias W., Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J., Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guenel, Pascal, Truong, Therese, Bojesen, Stig E., Flyger, Henrik, Benitez, Javier, Gonzalez-Neira, Anna, Anton-Culver, Hoda, Neuhausen, Susan L., Brenner, Hermann, Arndt, Volker, Meindl, Alfons, Schmutzler, Rita K., Brauch, Hiltrud, Hamann, Ute, Nevanlinna, Heli, Khan, Sofia, Matsuo, Keitaro, Iwata, Hiroji, Dork, Thilo, Bogdanova, Natalia V., Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Chenevix-Trench, Georgia, Wu, Anna H., den Berg, David Ven, kConFab-AOCS Investigators, Department of Obstetrics and Gynecology, and Clinicum
Subjects: RISK, 3123 Gynaecology and paediatrics, 3122 Cancers, COMMON VARIANTS, CONFER SUSCEPTIBILITY, GENETIC-VARIATION, HETEROGENEITY, 14Q24.1 RAD51L1, GENOME-WIDE ASSOCIATION, ALLELES, DISEASE
Abstract: The Cancer Genetic Markers of Susceptibility genome-wide association study (GWAS) originally identified a single nucleotide polymorphism (SNP) rs11249433 at 1p11.2 associated with breast cancer risk. To fine-map this locus, we genotyped 92 SNPs in a 900kb region (120,505,799-121,481,132) flanking rs11249433 in 45,276 breast cancer cases and 48,998 controls of European, Asian and African ancestry from 50 studies in the Breast Cancer Association Consortium. Genotyping was done using iCOGS, a custom-built array. Due to the complicated nature of the region on chr1p11.2: 120,300,000-120,505,798, that lies near the centromere and contains seven duplicated genomic segments, we restricted analyses to 429 SNPs excluding the duplicated regions (42 genotyped and 387 imputed). Perallelic associations with breast cancer risk were estimated using logistic regression models adjusting for study and ancestry-specific principal components. The strongest association observed was with the original identified index SNP rs11249433 (minor allele frequency (MAF) 0.402; per-allele odds ratio (OR) = 1.10, 95% confidence interval (CI) 1.08-1.13, P = 1.49 x 10(-21)). The association for rs11249433 was limited to ER-positive breast cancers (test for heterogeneity P
Published: 2016

42. 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

43. Genetic markers of toxicity from capecitabine and other fluorouracil-based regimens: investigation in the QUASAR2 study, systematic review, and meta-analysis

Author: Rosmarin, D, Palles, C, Church, D, Domingo, E, Jones, A, Johnstone, E, Wang, H, Love, S, Julier, P, Scudder, C, Nicholson, G, Gonzalez-Neira, A, Martin, M, Sargent, D, Green, E, McLeod, H, Zanger, U, Schwab, M, Braun, M, Seymour, M, Thompson, L, Lacas, B, Boige, V, Ribelles, N, and Afzal, S
Abstract: PURPOSE: Fluourouracil (FU) is a mainstay of chemotherapy, although toxicities are common. Genetic biomarkers have been used to predict these adverse events, but their utility is uncertain. PATIENTS AND METHODS: We tested candidate polymorphisms identified from a systematic literature search for associations with capecitabine toxicity in 927 patients with colorectal cancer in the Quick and Simple and Reliable trial (QUASAR2). We then performed meta-analysis of QUASAR2 and 16 published studies (n = 4,855 patients) to examine the polymorphisms in various FU monotherapy and combination therapy regimens. RESULTS: Global capecitabine toxicity (grades 0/1/2 v grades 3/4/5) was associated with the rare, functional DPYD alleles 2846T>A and *2A (combined odds ratio, 5.51; P = .0013) and with the common TYMS polymorphisms 5'VNTR2R/3R and 3'UTR 6bp ins-del (combined odds ratio, 1.31; P = 9.4 × 10(-6)). There was weaker evidence that these polymorphisms predict toxicity from bolus and infusional FU monotherapy. No good evidence of association with toxicity was found for the remaining polymorphisms, including several currently included in predictive kits. No polymorphisms were associated with toxicity in combination regimens. CONCLUSION: A panel of genetic biomarkers for capecitabine monotherapy toxicity would currently comprise only the four DPYD and TYMS variants above. We estimate this test could provide 26% sensitivity, 86% specificity, and 49% positive predictive value-better than most available commercial kits, but suboptimal for clinical use. The test panel might be extended to include additional, rare DPYD variants functionally equivalent to *2A and 2846A, though insufficient evidence supports its use in bolus, infusional, or combination FU. There remains a need to identify further markers of FU toxicity for all regimens.
Published: 2016

44. An intergenic risk locus containing an enhancer deletion in 2q35 modulates breast cancer risk by deregulating IGFBP5 expression

Author: Wyszynski, Asaf, Hong, Chi-Chen, Lam, Kristin, Michailidou, Kyriaki, Lytle, Christian, Yao, Song, Zhang, Yali, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Peto, Julian, dos-Santos-Silva, Isabel, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Nordestgaard, BÃ¸rge G, Gonzalez-Neira, Anna, Benitez, Javier, Neuhausen, Susan L, Brenner, Hermann, Dieffenbach, Aida Karina, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Nevanlinna, Heli, Khan, Sofia, Matsuo, Keitaro, Ito, Hidemi, DÃ¶rk, Thilo, Bogdanova, Natalia V, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Wu, Anna H, Van Den Berg, David, Lambrechts, Diether, Wildiers, Hans, Chang-Claude, Jenny, Rudolph, Anja, Radice, Paolo, Peterlongo, Paolo, Couch, Fergus J, Olson, Janet E, Giles, Graham G, Milne, Roger L, Haiman, Christopher A, Henderson, Brian E, Dumont, Martine, Teo, Soo Hwang, Wong, Tien Y, Kristensen, Vessela, Zheng, Wei, Long, Jirong, Winqvist, Robert, Pylkäs, Katri, Andrulis, Irene L, Knight, Julia A, Devilee, Peter, Seynaeve, Caroline, García-Closas, Montserrat, Figueroa, Jonine, Klevebring, Daniel, Czene, Kamila, Hooning, Maartje J, van den Ouweland, Ans M. W., Darabi, Hatef, Shu, Xiao-Ou, Gao, Yu-Tang, Cox, Angela, Blot, William, Signorello, Lisa B, Shah, Mitul, Kang, Daehee, Choi, Ji-Yeob, Hartman, Mikael, Miao, Hui, Hamann, Ute, Jakubowska, Anna, Lubinski, Jan, Sangrajrang, Suleeporn, McKay, James, Toland, Amanda E, Yannoukakos, Drakoulis, Shen, Chen-Yang, Wu, Pei-Ei, Swerdlow, Anthony, and Orr, Nick
Published: 2016

45. Objective evaluation of surgical competency for minimally invasive surgery with a collection of simple tests

Author: Gonzalez-Neira, Eliana Maria, Jimenez-Mendoza, Claudia Patricia, Suarez, Daniel R, and Rugeles-Quintero, Saul
Subjects: laparoscopic skill assessment, Entrenamiento basado en competencias, Evaluación de habilidades para laparoscopia, Proficiency-based training, Desempeño en sala de cirugía, Simulación, simulation
Abstract: Objective: This study aims at determining if a collection of 16 motor tests on a physical simulator can objectively discriminate and evaluate practitioners' competency level, i.e. novice, resident, and expert. Methods: An experimental design with three study groups (novice, resident, and expert) was developed to test the evaluation power of each of the 16 simple tests. An ANOVA and a Student Newman-Keuls (SNK) test were used to analyze results of each test to determine which of them can discriminate participants' competency level. Results: Four of the 16 tests used discriminated all of the three competency levels and 15 discriminated at least two of the three groups (α= 0.05). Moreover, other two tests differentiate beginners' level from intermediate, and other seven tests differentiate intermediate level from expert. Conclusion: The competency level of a practitioner of minimally invasive surgery can be evaluated by a specific collection of basic tests in a physical surgical simulator. Reduction of the number of tests needed to discriminate the competency level of surgeons can be the aim of future research. Objetivo: Este estudio pretende determinar si una colección de 16 pruebas en un simulador físico puede discriminar y evaluar objetivamente el nivel de competencia de practicantes de cirugía laparoscópica (novato, resistente y experto). Métodos: Se realizó un diseño de experimentos con tres grupos de estudio (novatos, residentes y expertos) para probar el poder de discriminación de 16 pruebas simples. Un ANOVA y un test de Student Newman-Keuls (SNK) fueron empleados para analizar los resultados de cada prueba con el fin de determinar cuáles de ellas podían discriminar los niveles de competencia de los participantes. Resultados: Cuatro de las 16 pruebas evaluadas lograron discriminar los tres niveles de competencia, y 15 pruebas lograron discriminar al menos dos de los tres grupos (α= 0.05). Adicionalmente, otras dos pruebas diferenciaron los novatos de los residentes, y otras siete pruebas diferenciaron los residentes de los expertos. Conclusión: El nivel de competencia de un practicante de cirugía mínimamente invasiva puede ser determinado mediante una colección de pruebas básicas en un simulador quirúrgico físico. El diseño de pruebas que discriminen los tres niveles de competencia y reduzcan el número de pruebas de la colección son posibles temas para nuevos trabajos.
Published: 2016

46. 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

47. BRCA2 polymorphic stop codon K3326X and the risk of breast, prostate, and ovarian cancers

Author: Meeks, H.D., Song, H.L., Michailidou, K., Bolla, M.K., Dennis, J., Wang, Q., Barrowdale, D., Frost, D., McGuffog, L., Ellis, S., Feng, B.J., Buys, S.S., Hopper, J.L., Southey, M.C., Tesoriero, A., James, P.A., Bruinsma, F., Campbell, I.G., Broeks, A., Schmidt, M.K., Hogervorst, F.B.L., Beckman, M.W., Fasching, P.A., Fletcher, O., Johnson, N., Sawyer, E.J., Riboli, E., Banerjee, S., Menon, U., Tomlinson, I., Burwinkel, B., Hamann, U., Marme, F., Rudolph, A., Janavicius, R., Tihomirova, L., Tung, N., Garber, J., Cramer, D., Terry, K.L., Poole, E.M., Tworoger, S.S., Dorfling, C.M., Rensburg, E.J. van, Godwin, A.K., Guenel, P., Truong, T., Stoppa-Lyonnet, D., Damiola, F., Mazoyer, S., Sinilnikova, O.M., Isaacs, C., Maugard, C., Bojesen, S.E., Flyger, H., Gerdes, A.M., Hansen, T.V.O., Jensen, A., Kjaer, S.K., Hogdall, C., Hogdall, E., Pedersen, I.S., Thomassen, M., Benitez, J., Gonzalez-Neira, A., Osorio, A., Hoya, M. de la, Segura, P.P., Diez, O., Lazaro, C., Brunet, J., Anton-Culver, H., Eunjung, L., John, E.M., Neuhausen, S.L., Ding, Y.C., Castillo, D., Weitzel, J.N., Ganz, P.A., Nussbaum, R.L., Chan, S.B., Karlan, B.Y., Lester, J., Wu, A., Gayther, S., Ramus, S.J., Sieh, W., Whittermore, A.S., Monteiro, A.N.A., Phelan, C.M., Terry, M.B., Piedmonte, M., Offit, K., Robson, M., Levine, D., Moysich, K.B., Cannioto, R., Olson, S.H., Daly, M.B., Nathanson, K.L., Domchek, S.M., Lu, K.H., Liang, D., Hildebrant, M.A.T., Ness, R., Modugno, F., Pearce, L., Goodman, M.T., Thompson, P.J., Brenner, H., Butterbach, K., Meindl, A., Hahnen, E., Wappenschmidt, B., Brauch, H., Bruning, T., Blomqvist, C., Khan, S., Nevanlinna, H., Pelttari, L.M., Aittomaki, K., Butzow, R., Bogdanova, N.V., Dork, T., Lindblom, A., Margolin, S., Rantala, J., Kosma, V.M., Mannermaa, A., Lambrechts, D., Neven, P., Claes, K.B.M., Maerken, T. van, Chang-Claude, J., Flesch-Janys, D., Heitz, F., Varon-Mateeva, R., Peterlongo, P., Radice, P., Viel, A., Barile, M., Peissel, B., Manoukian, S., Montagna, M., Oliani, C., Peixoto, A., Teixeira, M.R., Collavoli, A., Hallberg, E., Olson, J.E., Goode, E.L., Hart, S.N., Shimelis, H., Cunningham, J.M., Giles, G.G., Milne, R.L., Healey, S., Tucker, K., Haiman, C.A., Henderson, B.E., Goldberg, M.S., Tischkowitz, M., Simard, J., Soucy, P., Eccles, D.M., N. le, Borresen-Dale, A.L., Kristensen, V., Salvesen, H.B., Bjorge, L., Bandera, E.V., Risch, H., Zheng, W., Beeghly-Fadiel, A., Cai, H., Pylkas, K., Tollenaar, R.A.E.M., Ouweland, A.M.W. van der, Andrulis, I.L., Knight, J.A., Narod, S., Devilee, P., Winqvist, R., Figueroa, J., Greene, M.H., Mai, P.L., Loud, J.T., Garcia-Closas, M., Schoemaker, M.J., Czene, K., Darabi, H., McNeish, I., Siddiquil, N., Glasspool, R., Kwong, A., Park, S.K., Teo, S.H., Yoon, S.Y., Matsuo, K., Hosono, S., Woo, Y.L., Gao, Y.T., Foretova, L., Singer, C.F., Rappaport-Feurhauser, C., Friedman, E., Laitman, Y., Rennert, G., Imyanitov, E.N., Hulick, P.J., Olopade, O.I., Senter, L., Olah, E., Doherty, J.A., Schildkraut, J., Koppert, L.B., Kiemeney, L.A., Massuger, L.F.A.G., Cook, L.S., Pejovic, T., Li, J.M., Borg, A., Ofverholm, A., Rossing, M.A., Wentzensen, N., Henriksson, K., Cox, A., Cross, S.S., Pasini, B.J., Shah, M., Kabisch, M., Torres, D., Jakubowska, A., Lubinski, J., Gronwald, J., Agnarsson, B.A., Kupryjanczyk, J., Moes-Sosnowska, J., Fostira, F., Konstantopoulou, I., Slager, S., Jones, M., Antoniou, A.C., Berchuck, A., Swerdlow, A., Chenevix-Trench, G., Dunning, A.M., Pharoah, P.D.P., Hall, P., Easton, D.F., Couch, F.J., Spurdle, A.B., Goldgar, D.E., EMBRACE, kConFab Investigators, Australia Ovarian Canc Study Grp, HEBON, GEMO Study Collaborators, OCGN, PRostate Canc Assoc Grp, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Targeted Gynaecologic Oncology (TARGON), Clinical Genetics, Obstetrics & Gynecology, Surgery, and [ 1 ] Univ Utah, Huntsman Canc Inst, Canc Control & Populat Sci, Salt Lake City, UT USA [ 2 ] Univ Cambridge, Dept Oncol, Ctr Canc Genet Epidemiol, Cambridge, England [ 3 ] Univ Cambridge, Dept Publ Hlth & Primary Care, Ctr Canc Genet Epidemiol, Cambridge, England [ 4 ] Univ Utah, Sch Med, Huntsman Canc Inst, Dept Dermatol, 2000 Circle Hope Dr, Salt Lake City, UT 84112 USA [ 5 ] Univ Utah, Sch Med, Dept Med, Huntsman Canc Inst, Salt Lake City, UT USA [ 6 ] Univ Melbourne, Melbourne Sch Populat & Global Hlth, Ctr Epidemiol & Biostat, Melbourne, Vic, Australia [ 7 ] Univ Melbourne, Dept Pathol, Melbourne, Vic, Australia [ 8 ] Univ Melbourne, Dept Pathol, Genet Epidemiol Lab, Parkville, Vic 3052, Australia [ 9 ] KConFab Kathleen Cuningham Consortium Res Familia, Peter MacCallum Canc Ctr, Melbourne, Vic, Australia [ 10 ] Peter MacCallum Canc Ctr, Familial Canc Ctr, Melbourne, Vic, Australia [ 11 ] Univ Melbourne, Dept Oncol, Melbourne, Vic, Australia [ 12 ] Canc Council Victoria, Canc Epidemiol Ctr, Melbourne, Vic, Australia [ 13 ] Univ Melbourne, Peter MacCallum Canc Ctr, Sir Peter MacCallum Dept Oncol, Parkville, Vic 3052, Australia [ 14 ] QIMR Berghofer Med Res Inst, Canc Div, Brisbane, Qld, Australia [ 15 ] Peter MacCallum Canc Inst, East Melbourne, Vic, Australia [ 16 ] Antoni van Leeuwenhoek Hosp, Netherlands Canc Inst, Amsterdam, Netherlands [ 17 ] Netherlands Canc Inst, Family Canc Clin, Amsterdam, Netherlands [ 18 ] Netherlands Canc Inst, Hereditary Breast & Ovarian Canc Res Grp Netherla, Coordinating Ctr, Amsterdam, Netherlands [ 19 ] Univ Erlangen Nurnberg, Comprehens Canc Ctr Erlangen EMN, Univ Hosp Erlangen, Dept Gynaecol & Ostetr, D-91054 Erlangen, Germany [ 20 ] Univ Calif Los Angeles, David Geffen Sch Med, Dept Med, Div Hematol & Oncol, Los Angeles, CA 90095 USA [ 21 ] Inst Canc Res, Div Breast Canc Res, London SW3 6JB, England [ 22 ] Inst Canc Res, Breakthrough Breast Canc Res Ctr, London SW3 6JB, England [ 23 ] Guys Hosp, Kings Coll London, Div Canc Studies, Res Oncol, London SE1 9RT, England [ 24 ] Univ London Imperial Coll Sci Technol & Med, Sch Publ Hlth, Dept Epidemiol & Biostat, London, England [ 25 ] Royal Marsden NHS Fdn Trust, London, England [ 26 ] Univ Coll London Elizabeth Garrett Anderson EGA, Inst Womens Hlth, Womens Canc, London, England [ 27 ] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England [ 28 ] Univ Oxford, Oxford Biomed Res Ctr, Oxford, England [ 29 ] German Canc Res Ctr, Div Mol Genet Epidemiol, Heidelberg, Germany [ 30 ] German Canc Res Ctr, Mol Genet Breast Canc, Heidelberg, Germany [ 31 ] Heidelberg Univ, Dept Obstet & Gynecol, Heidelberg, Germany [ 32 ] Heidelberg Univ, Natl Ctr Tumor Dis, Heidelberg, Germany [ 33 ] German Canc Res Ctr, Div Canc Epidemiol, Heidelberg, Germany [ 34 ] State Res Inst Ctr Innovat Med, Vilnius, Lithuania [ 35 ] Latvian Biomed Res & Study Ctr, Riga, Latvia [ 36 ] Beth Israel Deaconess Med Ctr, Dept Med Oncol, Boston, MA 02215 USA [ 37 ] Dana Farber Canc Inst, Canc Risk & Prevent Clin, Boston, MA 02115 USA [ 38 ] Brigham & Womens Hosp, Obstet & Gynecol Epidemiol Ctr, 75 Francis St, Boston, MA 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Univ, Lombardi Comprehens Canc Ctr, Washington, DC USA [ 53 ] Hop Univ Strasbourg, CHRU Nouvel, Lab Diagnost Genet, Hop Civil, Strasbourg, France [ 54 ] Hop Univ Strasbourg, CHRU Nouvel, Serv Oncohematol, Hop Civil, Strasbourg, France [ 55 ] Univ Copenhagen, Fac Hlth & Med Sci, Copenhagen, Denmark [ 56 ] Copenhagen Univ Hosp, Dept Clin Biochem, Herlev Hosp, Herlev, Denmark [ 57 ] Copenhagen Univ Hosp, Herlev Hosp, Dept Breast Surg, Herlev, Denmark [ 58 ] Copenhagen Univ Hosp, Rigshosp, Dept Clin Genet, Copenhagen, Denmark [ 59 ] Copenhagen Univ Hosp, Rigshosp, Ctr Genom Med, Copenhagen, Denmark [ 60 ] Danish Canc Soc, Dept Virus Lifestyle & Genes, Res Ctr, Copenhagen, Denmark [ 61 ] Univ Copenhagen, Rigshosp, Dept Gynecol, DK-2100 Copenhagen, Denmark [ 62 ] Univ Copenhagen, Herlev Hosp, Dept Pathol, Mol Unit, Copenhagen, Denmark [ 63 ] Aalborg Univ Hosp, Dept Biochem, Sect Mol Diagnost, Aalborg, Denmark [ 64 ] Odense Univ Hosp, Dept Clin Genet, DK-5000 Odense C, Denmark [ 65 ] Spanish Natl Canc Ctr CNIO, Human Canc Genet Program, Human Genet Grp, Madrid, Spain [ 66 ] Spanish Natl Canc Ctr CNIO, Human Canc Genet Program, Human Genotyping Unit CEGEN, Madrid, Spain [ 67 ] Biomed Network Rare Dis CIBERER, Madrid, Spain [ 68 ] IdISSC Inst Invest Sanitaria Hosp Clin San Carlos, Hosp Clin San Carlos, Mol Oncol Lab, Madrid, Spain [ 69 ] IdISSC, Hosp Clin San Carlos, Dept Oncol, Madrid, Spain [ 70 ] Univ Hosp Vall dHebron, VHIO, Oncogenet Grp, Barcelona, Spain [ 71 ] Univ Autonoma Barcelona, E-08193 Barcelona, Spain [ 72 ] Catalan Inst Oncol, IDIBELL Bellvitge Biomed Res Inst, Hereditary Canc Program, Mol Diagnost Unit, Barcelona, Spain [ 73 ] Catalan Inst Oncol, IDIBGI Inst Invest Biomed Girona, Hereditary Canc Program, Genet Counseling Unit, Girona, Spain [ 74 ] Univ Calif Irvine, Sch Med, Dept Epidemiol, Irvine, CA 92717 USA [ 75 ] Univ So Calif, Keck Sch Med, Dept Prevent Med, Norris Comprehens Canc Ctr, Los Angeles, CA 90033 USA [ 76 ] Canc Prevent Inst Calif, Dept 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Ctr Inst, NRG Oncol Stat & Data Management Ctr, Buffalo, NY USA [ 88 ] Mem Sloan Kettering Canc Ctr, Dept Med, 1275 York Ave, New York, NY 10021 USA [ 89 ] Mem Sloan Kettering Canc Ctr, Dept Surg, Gynecol Serv, 1275 York Ave, New York, NY 10021 USA [ 90 ] Roswell Pk Canc Inst, Dept Canc Prevent & Control, Buffalo, NY 14263 USA [ 91 ] Mem Sloan Kettering Canc Ctr, Dept Epidemiol & Biostat, 1275 York Ave, New York, NY 10021 USA [ 92 ] Fox Chase Canc Ctr, Dept Clin Genet, 7701 Burholme Ave, Philadelphia, PA 19111 USA [ 93 ] Univ Penn, Perelman Sch Med, Abramson Canc Ctr, Basser Ctr, Philadelphia, PA 19104 USA [ 94 ] Univ Texas MD Anderson Canc Ctr, Dept Gynecol Oncol, Houston, TX 77030 USA [ 95 ] Texas So Univ, Coll Pharm & Hlth Sci, Houston, TX 77004 USA [ 96 ] Univ Texas MD Anderson Canc Ctr, Dept Epidemiol, Houston, TX 77030 USA [ 97 ] Univ Texas Houston, Sch Publ Hlth, Houston, TX USA [ 98 ] Univ Pittsburgh, Sch Med, Dept Obstet Gynecol & Reprod Sci, Pittsburgh, PA USA [ 99 ] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Epidemiol, Pittsburgh, PA USA [ 100 ] Magee Womens Res Inst, Womens Canc Res Program, Pittsburgh, PA USA [ 101 ] Univ Pittsburgh, Inst Canc, Pittsburgh, PA USA [ 102 ] Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA [ 103 ] Cedars Sinai Med Ctr, Samuel Oschin Comprehens Canc Inst, Canc Prevent & Control, Los Angeles, CA 90048 USA [ 104 ] Cedars Sinai Med Ctr, Dept Biomed Sci, Community & Populat Hlth Res Inst, Los Angeles, CA 90048 USA [ 105 ] German Canc Res Ctr, Div Clin Epidemiol & Aging Res, Heidelberg, Germany [ 106 ] German Canc Res Ctr, German Canc Consortium DKTK, Heidelberg, Germany [ 107 ] Univ Warwick, Warwick Med Sch, Div Hlth Sci, Coventry CV4 7AL, W Midlands, England [ 108 ] Tech Univ Munich, Klinikum Rechts Isar, Dept Obstet & Gynaecol, Div Tumor Genet, D-80290 Munich, Germany [ 109 ] Univ Hosp Cologne, Ctr Integrated Oncol, Cologne, Germany [ 110 ] Univ Hosp Cologne, Ctr Mol Med, Cologne, Germany [ 111 ] Univ 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Jaya, Selangor, Malaysia [ 193 ] Univ Malaya, Med Ctr, Fac Med, Canc Res Inst, Kuala Lumpur, Malaysia [ 194 ] Aichi Canc Ctr Res Inst, Div Mol Med, Nagoya, Aichi, Japan [ 195 ] Aichi Canc Ctr Res Inst, Div Epidemiol & Prevent, Nagoya, Aichi, Japan [ 196 ] Univ Malaya, Med Ctr, Dept Obstet & Gynecol, Kuala Lumpur, Malaysia [ 197 ] Shanghai Canc Inst, Dept Epidemiol, Shanghai, Peoples R China [ 198 ] Masaryk Mem Canc Inst & Med Fac, Brno, Czech Republic [ 199 ] Med Univ Vienna, Dept Obstet & Gynecol, Vienna, Austria [ 200 ] Med Univ Vienna, Ctr Comprehens Canc, Vienna, Austria [ 201 ] Sheba Med Ctr, Susanne Levy Gertner Oncogenet Unit, Tel Hashomer, Israel [ 202 ] Carmel Hosp, Clalit Natl Israeli Canc Control Ctr, Haifa, Israel [ 203 ] Carmel Hosp, Dept Community Med & Epidemiol, Haifa, Israel [ 204 ] B Rappaport Fac Med, Haifa, Israel [ 205 ] NN Petrov Inst Oncol, St Petersburg, Russia [ 206 ] NorthShore Univ Hlth Syst, Ctr Med Genet, Evanston, IL USA [ 207 ] Univ Chicago, Med Ctr, Ctr Clin Canc Genet & Global Hlth, Chicago, IL 60637 USA [ 208 ] Ohio State Univ, Ctr Comprehens Canc, Dept Internal Med, Div Human Genet, Columbus, OH 43210 USA [ 209 ] Natl Inst Oncol, Dept Mol Genet, Budapest, Hungary [ 210 ] Dartmouth Coll, Geisel Sch Med, Sect Biostat & Epidemiol, Dept Community & Family Med, Hanover, NH 03755 USA [ 211 ] Duke Univ, Med Ctr, Dept Community & Family Med, Durham, NC 27710 USA [ 212 ] Duke Canc Inst, Canc Control & Populat Sci, Durham, NC USA [ 213 ] Radboud Univ Nijmegen, Med Ctr, Radboud Inst Hlth Sci, NL-6525 ED Nijmegen, Netherlands [ 214 ] Radboud Univ Nijmegen, Med Ctr, Radboud Inst Mol Life Sci, Dept Gynaecol, NL-6525 ED Nijmegen, Netherlands [ 215 ] Univ New Mexico, Dept Internal Med, Div Epidemiol & Biostat, Albuquerque, NM 87131 USA [ 216 ] Oregon Hlth & Sci Univ, Dept Obstet & Gynecol, Portland, OR 97201 USA [ 217 ] Oregon Hlth & Sci Univ, Knight Canc Inst, Portland, OR 97201 USA [ 218 ] Lund Univ, Dept Oncol, Lund, Sweden [ 219 ] Sahlgrens Univ Hosp, Dept Clin Genet, Gothenburg, Sweden [ 220 ] Fred Hutchinson Canc Res Ctr, Program Epidemiol, 1124 Columbia St, Seattle, WA 98104 USA [ 221 ] NCI, Div Canc Epidemiol & Genet, Bethesda, MD 20892 USA [ 222 ] Univ Lund Hosp, Ctr Oncol, Reg Tumour Registry, S-22185 Lund, Sweden [ 223 ] Univ Sheffield, Sheffield Canc Res Dept Oncol, Sheffield, S Yorkshire, England [ 224 ] Univ Sheffield, Dept Neurosci, Acad Unit Pathol, Sheffield, S Yorkshire, England [ 225 ] Pontificia Univ Javeriana, Inst Human Genet, Bogota, Colombia [ 226 ] Pomeranian Med Univ, Dept Genet & Pathol, Szczecin, Poland [ 227 ] Landspitali Univ Hosp, Reykjavik, Iceland Organization-Enhanced Name(s) Landspitali National University Hospital [ 228 ] Univ Iceland, Sch Med, Reykjavik, Iceland [ 229 ] Maria Sklodowska Curie Mem Canc Ctr, Dept Pathol & Lab Diagnost, Warsaw, Poland [ 230 ] Inst Oncol, Warsaw, Poland [ 231 ] Natl Ctr Sci Res Demokritos, Mol Diagnost Lab, Inst Nucl & Radiol Sci & Technol, Energy & Safety, Athens, Greece [ 232 ] Duke Univ, Med Ctr, Dept Obstet & Gynecol, Durham, NC 27710 USA
Subjects: 0301 basic medicine, Oncology, Male, Cancer Research, endocrine system diseases, LOCI, Estrogen receptor, FAMILY-HISTORY, Prostate cancer, 0302 clinical medicine, Ovarian Neoplasms/pathology, Prostate, Risk Factors, Brjóstakrabbamein, Odds Ratio, skin and connective tissue diseases, Ovarian Neoplasms, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], Prostatic Neoplasms/genetics, Research Support, Non-U.S. Gov't, SINGLE-NUCLEOTIDE POLYMORPHISMS, Middle Aged, BRCA2 Protein/genetics, PANCREATIC-CANCER, 3. Good health, SUSCEPTIBILITY GENE, medicine.anatomical_structure, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], 030220 oncology & carcinogenesis, Codon, Terminator, Female, Risk Factors Substances, Adult, medicine.medical_specialty, Heterozygote, Breast Neoplasms, Blöðruhálskirtilskrabbamein, Breast Neoplasms/genetics, Biology, Polymorphism, Single Nucleotide, Risk Assessment, Article, Ovarian Neoplasms/genetics, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, Research Support, N.I.H., Extramural, Internal medicine, Pancreatic cancer, Krabbameinsrannsóknir, medicine, Journal Article, Humans, Genetic Predisposition to Disease, Neoplasm Invasiveness, Lysine/genetics, Krabbamein, Aged, Gynecology, BRCA2 Protein, Proportional hazards model, Lysine, DNA RECOMBINATION, CONSORTIUM, GERM-LINE MUTATION, Prostatic Neoplasms, Odds ratio, Arfgengi, medicine.disease, ESTROGEN-RECEPTOR, 030104 developmental biology, Logistic Models, PTT12, Eggjastokkar, FANCONI-ANEMIA, Ovarian cancer
Abstract: Contains fulltext : 172007.pdf (Publisher’s version ) (Closed access) BACKGROUND: The K3326X variant in BRCA2 (BRCA2*c.9976A>T; p.Lys3326*; rs11571833) has been found to be associated with small increased risks of breast cancer. However, it is not clear to what extent linkage disequilibrium with fully pathogenic mutations might account for this association. There is scant information about the effect of K3326X in other hormone-related cancers. METHODS: Using weighted logistic regression, we analyzed data from the large iCOGS study including 76 637 cancer case patients and 83 796 control patients to estimate odds ratios (ORw) and 95% confidence intervals (CIs) for K3326X variant carriers in relation to breast, ovarian, and prostate cancer risks, with weights defined as probability of not having a pathogenic BRCA2 variant. Using Cox proportional hazards modeling, we also examined the associations of K3326X with breast and ovarian cancer risks among 7183 BRCA1 variant carriers. All statistical tests were two-sided. RESULTS: The K3326X variant was associated with breast (ORw = 1.28, 95% CI = 1.17 to 1.40, P = 5.9x10(-) (6)) and invasive ovarian cancer (ORw = 1.26, 95% CI = 1.10 to 1.43, P = 3.8x10(-3)). These associations were stronger for serous ovarian cancer and for estrogen receptor-negative breast cancer (ORw = 1.46, 95% CI = 1.2 to 1.70, P = 3.4x10(-5) and ORw = 1.50, 95% CI = 1.28 to 1.76, P = 4.1x10(-5), respectively). For BRCA1 mutation carriers, there was a statistically significant inverse association of the K3326X variant with risk of ovarian cancer (HR = 0.43, 95% CI = 0.22 to 0.84, P = .013) but no association with breast cancer. No association with prostate cancer was observed. CONCLUSIONS: Our study provides evidence that the K3326X variant is associated with risk of developing breast and ovarian cancers independent of other pathogenic variants in BRCA2. Further studies are needed to determine the biological mechanism of action responsible for these associations.
Published: 2016

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

Author: Southey, M. C. (Melissa C.), Goldgar, D. E. (David E.), Winqvist, R. (Robert), Pylkäs, K. (Katri), Couch, F. (Fergus), Tischkowitz, M. (Marc), Foulkes, W. D. (William D.), Dennis, J. (Joe), Michailidou, K. (Kyriaki), van Rensburg, E. J. (Elizabeth J.), Heikkinen, T. (Tuomas), Nevanlinna, H. (Heli), Hopper, J. L. (John L.), Doerk, T. (Thilo), Claes, K. B. (Kathleen B. M.), Reis-Filho, J. (Jorge), Teo, Z. L. (Zhi Ling), Radice, P. (Paolo), Catucci, I. (Irene), Peterlongo, P. (Paolo), Tsimiklis, H. (Helen), Odefrey, F. A. (Fabrice A.), Dowty, J. G. (James G.), Schmidt, M. K. (Marjanka K.), Broeks, A. (Annegien), Hogervorst, F. B. (Frans B.), Verhoef, S. (Senno), Carpenter, J. (Jane), Clarke, C. (Christine), Scott, R. J. (Rodney J.), Fasching, P. A. (Peter A.), Haeberle, L. (Lothar), Ekici, A. B. (Arif B.), Beckmann, M. W. (Matthias W.), Peto, J. (Julian), dos-Santos-Silva, I. (Isabel), Fletcher, O. (Olivia), Johnson, N. (Nichola), Bolla, M. K. (Manjeet K.), Sawyer, E. J. (Elinor J.), Tomlinson, I. (Ian), Kerin, M. J. (Michael J.), Miller, N. (Nicola), Marme, F. (Federik), Burwinkel, B. (Barbara), Yang, R. (Rongxi), Guenel, P. (Pascal), Menegaux, F. (Florence), Sanchez, M. (Marie), Bojesen, S. (Stig), Nielsen, S. F. (Sune F.), Flyger, H. (Henrik), Benitez, J. (Javier), Pilar Zamora, M. (M.), Arias Perez, J. I. (Jose Ignacio), Menendez, P. (Primitiva), Anton-Culver, H. (Hoda), Neuhausen, S. (Susan), Ziogas, A. (Argyrios), Clarke, C. A. (Christina A.), Brenner, H. (Hermann), Arndt, V. (Volker), Stegmaier, C. (Christa), Brauch, H. (Hiltrud), Bruening, T. (Thomas), Ko, Y.-D. (Yon-Dschun), Muranen, T. A. (Taru A.), Aittomaki, K. (Kristiina), Blomqvist, C. (Carl), Bogdanova, N. V. (Natalia V.), Antonenkova, N. N. (Natalia N.), Lindblom, A. (Annika), Margolin, S. (Sara), Mannermaa, A. (Arto), Kataja, V. (Vesa), Kosma, V.-M. (Veli-Matti), Hartikainen, J. M. (Jaana M.), Spurdle, A. B. (Amanda B.), Wauters, E. (Els), Smeets, D. (Dominiek), Beuselinck, B. (Benoit), Floris, G. (Giuseppe), Chang-Claude, J. (Jenny), Rudolph, A. (Anja), Seibold, P. (Petra), Flesch-Janys, D. (Dieter), Olson, J. E. (Janet E.), Vachon, C. (Celine), Pankratz, V. S. (Vernon S.), McLean, C. (Catriona), Haiman, C. A. (Christopher A.), Henderson, B. E. (Brian E.), Schumacher, F. (Fredrick), Le Marchand, L. (Loic), Kristensen, V. (Vessela), Alnaes, G. G. (Grethe Grenaker), Zheng, W. (Wei), Hunter, D. J. (David J.), Lindstrom, S. (Sara), Hankinson, S. E. (Susan E.), Kraft, P. (Peter), Andrulis, I. (Irene), Knight, J. A. (Julia A.), Glendon, G. (Gord), Mulligan, A. M. (Anna Marie), Jukkola-Vuorinen, A. (Arja), Grip, M. (Mervi), Kauppila, S. (Saila), Devilee, P. (Peter), Tollenaar, R. A. (Robert A. E. M.), Seynaeve, C. (Caroline), Hollestelle, A. (Antoinette), Garcia-Closas, M. (Montserrat), Figueroa, J. (Jonine), Chanock, S. J. (Stephen J.), Lissowska, J. (Jolanta), Czene, K. (Kamila), Darabi, H. (Hatef), Eriksson, M. (Mikael), Eccles, D. M. (Diana M.), Rafiq, S. (Sajjad), Tapper, W. J. (William J.), Gerty, S. M. (Sue M.), Hooning, M. J. (Maartje J.), Martens, J. W. (John W. M.), Collee, J. M. (J. Margriet), Tilanus-Linthorst, M. (Madeleine), Hall, P. (Per), Li, J. (Jingmei), Brand, J. S. (Judith S.), Humphreys, K. (Keith), Cox, A. (Angela), Reed, M. W. (Malcolm W. R.), Luccarini, C. (Craig), Baynes, C. (Caroline), Dunning, A. M. (Alison M.), Hamann, U. (Ute), Torres, D. (Diana), Ulmer, H. U. (Hans Ulrich), Ruediger, T. (Thomas), Jakubowska, A. (Anna), Lubinski, J. (Jan), Jaworska, K. (Katarzyna), Durda, K. (Katarzyna), Slager, S. (Susan), Toland, A. E. (Amanda E.), Ambrosone, C. B. (Christine B.), Yannoukakos, D. (Drakoulis), Swerdlow, A. (Anthony), Ashworth, A. (Alan), Orr, N. (Nick), Jones, M. (Michael), Gonzalez-Neira, A. (Anna), Pita, G. (Guillermo), Rosario Alonso, M. (M.), Alvarez, N. (Nuria), Herrero, D. (Daniel), Tessier, D. C. (Daniel C.), Vincent, D. (Daniel), Bacot, F. (Francois), Simard, J. (Jacques), Dumont, M. (Martine), Soucy, P. (Penny), Eeles, R. (Rosalind), Muir, K. (Kenneth), Wiklund, F. (Fredrik), Gronberg, H. (Henrik), Schleutker, J. (Johanna), Nordestgaard, B. G. (Borge G.), Weischer, M. (Maren), Travis, R. C. (Ruth C.), Neal, D. (David), Donovan, J. L. (Jenny L.), Hamdy, F. C. (Freddie C.), Khaw, K.-T. (Kay-Tee), Stanford, J. L. (Janet L.), Blot, W. J. (William J.), Thibodeau, S. (Stephen), Schaid, D. J. (Daniel J.), Kelley, J. L. (Joseph L.), Maier, C. (Christiane), Kibel, A. S. (Adam S.), Cybulski, C. (Cezary), Cannon-Albright, L. (Lisa), Butterbach, K. (Katja), Park, J. (Jong), Kaneva, R. (Radka), Batra, J. (Jyotsna), Teixeira, M. R. (Manuel R.), Kote-Jarai, Z. (Zsofia), Al Olama, A. A. (Ali Amin), Benlloch, S. (Sara), Renner, S. P. (Stefan P.), Hartmann, A. (Arndt), Hein, A. (Alexander), Ruebner, M. (Matthias), Lambrechts, D. (Diether), Van Nieuwenhuysen, E. (Els), Vergote, I. (Ignace), Lambretchs, S. (Sandrina), Doherty, J. A. (Jennifer A.), Rossing, M. A. (Mary Anne), Nickels, S. (Stefan), Eilber, U. (Ursula), Wang-Gohrke, S. (Shan), Odunsi, K. (Kunle), Sucheston-Campbell, L. E. (Lara E.), Friel, G. (Grace), Lurie, G. (Galina), Killeen, J. L. (Jeffrey L.), Wilkens, L. R. (Lynne R.), Goodman, M. T. (Marc T.), Runnebaum, I. (Ingo), Hillemanns, P. A. (Peter A.), Pelttari, L. M. (Liisa M.), Butzow, R. (Ralf), Modugno, F. (Francesmary), Edwards, R. P. (Robert P.), Ness, R. B. (Roberta B.), Moysich, K. B. (Kirsten B.), du Bois, A. (Andreas), Heitz, F. (Florian), Harter, P. (Philipp), Kommoss, S. (Stefan), Karlan, B. Y. (Beth Y.), Walsh, C. (Christine), Lester, J. (Jenny), Jensen, A. (Allan), Kjaer, S. K. (Susanne Kruger), Hogdall, E. (Estrid), Peissel, B. (Bernard), Bonanni, B. (Bernardo), Bernard, L. (Loris), Goode, E. L. (Ellen L.), Fridley, B. L. (Brooke L.), Vierkant, R. A. (Robert A.), Cunningham, J. M. (Julie M.), Larson, M. C. (Melissa C.), Fogarty, Z. C. (Zachary C.), Kalli, K. R. (Kimberly R.), Liang, D. (Dong), Lu, K. H. (Karen H.), Hildebrandt, M. A. (Michelle A. T.), Wu, X. (Xifeng), Levine, D. A. (Douglas A.), Dao, F. (Fanny), Bisogna, M. (Maria), Berchuck, A. (Andrew), Iversen, E. S. (Edwin S.), Marks, J. R. (Jeffrey R.), Akushevich, L. (Lucy), Cramer, D. W. (Daniel W.), Schildkraut, J. (Joellen), Terry, K. L. (Kathryn L.), Poole, E. M. (Elizabeth M.), Stampfer, M. (Meir), Tworoger, S. S. (Shelley S.), Bandera, E. V. (Elisa V.), Orlow, I. (Irene), Olson, S. H. (Sara H.), Bjorge, L. (Line), Salvesen, H. B. (Helga B.), van Altena, A. M. (Anne M.), Aben, K. K. (Katja K. H.), Kiemeney, L. A. (Lambertus A.), Massuger, L. F. (Leon F. A. G.), Pejovic, T. (Tanja), Bean, Y. (Yukie), Brooks-Wilson, A. (Angela), Kelemen, L. E. (Linda E.), Cook, L. S. (Linda S.), Le, N. D. (Nhu D.), Grski, B. (Bohdan), Gronwald, J. (Jacek), Menkiszak, J. (Janusz), Hogdall, C. K. (Claus K.), Lundvall, L. (Lene), Nedergaard, L. (Lotte), Engelholm, S. A. (Svend Aage), Dicks, E. (Ed), Tyrer, J. (Jonathan), Campbell, I. (Ian), McNeish, I. (Iain), Paul, J. (James), Siddiqui, N. (Nadeem), Glasspool, R. (Rosalind), Whittemore, A. S. (Alice S.), Rothstein, J. H. (Joseph H.), McGuire, V. (Valerie), Sieh, W. (Weiva), Cai, H. (Hui), Shu, X.-O. (Xiao-Ou), Teten, R. T. (Rachel T.), Sutphen, R. (Rebecca), McLaughlin, J. R. (John R.), Narod, S. A. (Steven A.), Phelan, C. M. (Catherine M.), Monteiro, A. N. (Alvaro N.), Fenstermacher, D. (David), Lin, H.-Y. (Hui-Yi), Permuth, J. B. (Jennifer B.), Sellers, T. A. (Thomas A.), Chen, Y. A. (Y. Ann), Tsai, Y.-Y. (Ya-Yu), Chen, Z. (Zhihua), Gentry-Maharaj, A. (Aleksandra), Gayther, S. A. (Simon A.), Ramus, S. J. (Susan J.), Menon, U. (Usha), Wu, A. H. (Anna H.), Pearce, C. L. (Celeste L.), Van den Berg, D. (David), Pike, M. C. (Malcolm C.), Dansonka-Mieszkowska, A. (Agnieszka), Plisiecka-Halasa, J. (Joanna), Moes-Sosnowska, J. (Joanna), Kupryjanczyk, J. (Jolanta), Pharoah, P. D. (Paul D. P.), Song, H. (Honglin), Winship, I. (Ingrid), Chenevix-Trench, G. (Georgia), Giles, G. G. (Graham G.), Tavtigian, S. V. (Sean V.), Easton, D. F. (Doug F.), and Milne, R. L. (Roger L.)
Subjects: skin and connective tissue diseases
Abstract: Background: The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. Methods: We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2 c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. Results: For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p = 7.1 × 10⁻⁵), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p = 6.9 × 10⁻⁸) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p = 0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (p ≤ 0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T>G OR 3.03 (95% CI 1.53 to 6.03, p = 0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p = 0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. Conclusions: This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.
Published: 2016

49. The SRY-HMG box gene, SOX4, is a target of gene amplification at chromosome 6p in lung cancer†

Author: Javier Benitez, Sandra Blanco, Pedro A. Lazo, Jun Yokota, Juan C. Cigudosa, Sara Alvarez, Montse Sanchez-Cespedes, Hans Clevers, Sandra D. Castillo, Marta Sanz-García, Pedro P. Medina, Ana Gonzalez-Neira, Cristina Largo, and Hubrecht Institute for Developmental Biology and Stem Cell Research
Subjects: Transcriptional Activation, Lung Neoplasms, Molecular Sequence Data, Gene Dosage, Biology, Gene dosage, SOXC Transcription Factors, Mice, SOX4, Cell Line, Tumor, Gene duplication, Gene expression, Genetics, medicine, Animals, Humans, Amino Acid Sequence, Molecular Biology, Gene, Genetics (clinical), Regulation of gene expression, Gene Amplification, Cancer, General Medicine, Amplicon, medicine.disease, Molecular biology, Gene Expression Regulation, Neoplastic, Cell Transformation, Neoplastic, Mutation, NIH 3T3 Cells, Cancer research, Chromosomes, Human, Pair 6, Mutant Proteins
Abstract: The search for oncogenes is becoming increasingly important in cancer genetics because they are suitable targets for therapeutic intervention. To identify novel oncogenes, activated by gene amplification, we analyzed cDNA microarrays by high-resolution comparative genome hybridization and compared DNA copy number and mRNA expression levels in lung cancer cell lines. We identified several amplicons (5p13, 6p22-21, 11q13, 17q21 and 19q13) that had a concomitant increase in gene expression. These regions were also found to be amplified in lung primary tumours. We mapped the boundaries and measured expression levels of genes within the chromosome 6p amplicon. The Sry-HMG box gene SOX4 (sex-determining region Y box 4), which encodes a transcription factor involved in embryonic cell differentiation, was overexpressed by a factor of 10 in cells with amplification relative to normal cells. SOX4 expression was also stronger in a fraction of lung primary tumours and lung cancer cell lines and was associated with the presence of gene amplification. We also found variants of SOX4 in lung primary tumours and cancer cell lines, including a somatic mutation that introduced a premature stop codon (S395X) at the serine-rich C-terminal domain. Although none of the variants increased the transactivation ability of SOX4, overexpression of the wildtype and of the non-truncated variants in NIH3T3 cells significantly increased the transforming ability of the weakly oncogenic RHOA-Q63L. In conclusion, our results show that, in lung cancer, SOX4 is overexpressed due to gene amplification and provide evidence of oncogenic properties of SOX4. © The Author 2009. Published by Oxford University Press. All rights reserved., The work was supported by grants from the Spanish Ministerio de Educacion (SAF2005-00626) and Instituto de Salud Carlos III (RTICC), to M.S.-C., and Spanish Ministerio de Educacion (SAF2007-60242 and CSD2007-0017), Junta de Castilla y Leon (Consejeria de Educacion, CSI-14A08 and GR-15) to P.A.L. Fellowships to M.S.-G. and S.D.C. were granted by the CSIC and Comunidad Autónoma de Madrid, respectively.
Published: 2009

50. Genetic control of resistance to hepatocarcinogenesis by the mouseHpcr3locus

Author: Giacomo Manenti, Tommaso A. Dragani, F. Stefania Falvella, Rosa Maria Pascale, Anna Gonzalez Neira, Elena Spada, Antonella Galvan, Silvano Milani, and Francesco Feo
Subjects: Male, Genetic Linkage, Population, Locus (genetics), Biology, medicine.disease_cause, Polymorphism, Single Nucleotide, Mice, Chromosome 15, Genetic linkage, medicine, Animals, Allele, education, Gene, Alleles, Crosses, Genetic, Genetics, Mice, Inbred BALB C, Mice, Inbred C3H, education.field_of_study, Hepatology, Gene Expression Profiling, Liver Neoplasms, Chromosome Mapping, Phenotype, Immunity, Innate, Liver, Lod Score, Carcinogenesis, E2F1 Transcription Factor
Abstract: The genome of the BALB/c mouse strain provides alleles that dominantly inhibit hepatocellular tumor development in F1 crosses with the highly hepatocarcinogenesis-susceptible C3H/He strain. Genome-wide linkage analysis using a 1536 –single-nucleotide polymorphism array in a (C3H/He BALB/c)F2 intercross population treated with urethane to induce hepatocellular tumor development revealed a locus with a major role in the resistance to hepatocarcinogenesis. This locus, designated hepatocarcinogen resistance 3 (Hpcr3) and mapping to central chromosome 15, showed a linkage at LOD score 16.52 and accounted for 40% of the phenotypical variance. The BALB/c-derived allele at Hpcr3 reduced tumoroccupied area of the liver up to 25-fold, in a semidominant way. Additional minor loci were mapped to chromosomes 1, 10, and 18. A gene expression profile of normal adult mouse liver showed a significant association with susceptibility of BALB/c, C3H/He, and F1 mice to hepatocarcinogenesis and identified the genes expressed in the Hpcr3 locus region; moreover, this analysis implicated the E2F1 pathway in the modulation of the phenotype susceptibility to hepatocarcinogenesis. Conclusion: These findings, indicating the complex genetics of dominant resistance to hepatocarcinogenesis, represent a step toward the identification of the genes underlying this phenotype. (HEPATOLOGY 2008;48:617-623.)
Published: 2008

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