Search

Your search keyword '"Lesueur F"' showing total 9 results
Start Over Author "Lesueur F" Publisher nature publishing group
9 results on '"Lesueur F"'

1. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes

Author

Fachal, L., Aschard, H., Beesley, J., Barnes, D.R., Allen, J., Kar, S., Pooley, K.A., Dennis, J., Michailidou, K., Turman, C., Soucy, P., Lemaçon, A., Lush, M., Tyrer, J.P., Ghoussaini, M., Marjaneh, M.M., Jiang, X., Agata, S., Aittomäki, K., Alonso, M.R., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Arason, A., Arndt, V., Aronson, K.J., Arun, B.K., Auber, B., Auer, P.L., Azzollini, J., Balmaña, J., Barkardottir, R.B., Barrowdale, D., Beeghly-Fadiel, A., Benitez, J., Bermisheva, M., Białkowska, K., Blanco, A.M., Blomqvist, C., Blot, W., Bogdanova, N.V., Bojesen, S.E., Bolla, M.K., Bonanni, B., Borg, A., Bosse, K., Brauch, H., Brenner, H., Briceno, I., Brock, I.W., Brooks-Wilson, A., Brüning, T., Burwinkel, B., Buys, S.S., Cai, Q., Caldés, T., Caligo, M.A., Camp, N.J., Campbell, I., Canzian, F., Carroll, J.S., Carter, B.D., Castelao, J.E., Chiquette, J., Christiansen, H., Chung, W.K., Claes, K.B.M., Clarke, C.L., Mari, V., Berthet, P., Castera, L., Vaur, D., Lallaoui, H., Bignon, Y.-J., Uhrhammer, N., Bonadona, V., Lasset, C., Révillion, F., Vennin, P., Muller, D., Gomes, D.M., Ingster, O., Coupier, I., Pujol, P., Collonge-Rame, M.-A., Mortemousque, I., Bera, O., Rose, M., Baurand, A., Bertolone, G., Faivre, L., Dreyfus, H., Leroux, D., Venat-Bouvet, L., Bézieau, S., Delnatte, C., Chiesa, J., Gilbert-Dussardier, B., Gesta, P., Prieur, F.P., Bronner, M., Sokolowska, J., Coulet, F., Boutry-Kryza, N., Calender, A., Giraud, S., Leone, M., Fert-Ferrer, S., Stoppa-Lyonnet, D., Jiao, Y., Lesueur, F.L., Mebirouk, N., Barouk-Simonet, E., Bubien, V., Longy, M., Sevenet, N., Gladieff, L., Toulas, C., Reimineras, A., Sobol, H., Paillerets, B.B.-D., Cabaret, O., Caron, O., Guillaud-Bataille, M., Rouleau, E., Belotti, M., Buecher, B., Caputo, S., Colas, C., Pauw, A.D., Fourme, E., Gauthier-Villars, M., Golmard, L., Moncoutier, V., Saule, C., Donaldson, A., Murray, A., Brady, A., Brewer, C., Pottinger, C., Miller, C., Gallagher, D., Gregory, H., Cook, J., Eason, J., Adlard, J., Barwell, J., Ong, K.-R., Snape, K., Walker, L., Izatt, L., Side, L., Tischkowitz, M., Rogers, M.T., Porteous, M.E., Ahmed, M., Morrison, P.J., Brennan, P., Eeles, R., Davidson, R., Collée, M., Cornelissen, S., Couch, F.J., Cox, A., Cross, S.S., Cybulski, C., Czene, K., Daly, M.B., de la Hoya, M., Devilee, P., Diez, O., Ding, Y.C., Dite, G.S., Domchek, S.M., Dörk, T., dos-Santos-Silva, I., Droit, A., Dubois, S., Dumont, M., Duran, M., Durcan, L., Dwek, M., Eccles, D.M., Engel, C., Eriksson, M., Evans, D.G., Fasching, P.A., Fletcher, O., Floris, G., Flyger, H., Foretova, L., Foulkes, W.D., Friedman, E., Fritschi, L., Frost, D., Gabrielson, M., Gago-Dominguez, M., Gambino, G., Ganz, P.A., Gapstur, S.M., Garber, J., García-Sáenz, J.A., Gaudet, M.M., Georgoulias, V., Giles, G., Glendon, G., Godwin, A.K., Goldberg, M.S., Goldgar, D.E., González-Neira, A., Tibiletti, M.G., Greene, M.H., Grip, M., Gronwald, J., Grundy, A., Guénel, P., Hahnen, E., Haiman, C.A., Håkansson, N., Hall, P., Hamann, U., Harrington, P.A., Hartikainen, J.M., Hartman, M., He, W., Healey, C.S., Heemskerk-Gerritsen, B.A.M., Heyworth, J., Hillemanns, P., Hogervorst, F.B.L., Hollestelle, A., Hooning, M., Hopper, J., Howell, A., Huang, G., Hulick, P.J., Imyanitov, E.N., Sexton, A., Christian, A., Trainer, A., Spigelman, A., Fellows, A., Shelling, A., Fazio, A.D., Blackburn, A., Crook, A., Meiser, B., Patterson, B., Clarke, C., Saunders, C., Hunt, C., Scott, C., Amor, D., Marsh, D., Edkins, E., Salisbury, E., Haan, E., Neidermayr, E., Macrea, F., Farshid, G., Lindeman, G., Chenevix-Trench, G., Mann, G., Gill, G., Thorne, H., Hickie, I., Winship, I., Flanagan, J., Kollias, J., Visvader, J., Stone, J., Taylor, J., Burke, J., Saunus, J., Forbes, J., Kirk, J., French, J., Tucker, K., Wu, K., Phillips, K., Lipton, L., Andrews, L., Lobb, L., Kentwell, M., Spurdle, M., Cummings, M., Gleeson, M., Harris, M., Jenkins, M., Young, M.A., Delatycki, M., Wallis, M., Burgess, M., Price, M., Brown, M., Southey, M., Bogwitz, M., Field, M., Friedlander, M., Gattas, M., Saleh, M., Hayward, N., Pachter, N., Cohen, P., Duijf, P., James, P., Simpson, P., Fong, P., Butow, P., Williams, R., Kefford, R., Scott, R., Milne, R.L., Balleine, R., Dawson, S.–J., Lok, S., O’Connell, S., Greening, S., Nightingale, S., Edwards, S., Fox, S., McLachlan, S.-A., Lakhani, S., Antill, Y., Aalfs, C., Meijers-Heijboer, H., van Engelen, K., Gille, H., Boere, I., van Deurzen, C., Obdeijn, I.-M., van den Ouweland, A., Seynaeve, C., Siesling, S., Verloop, J., van Asperen, C.J., van Cronenburg, T., Blok, R., de Boer, M., Garcia, E.G., Adank, M., Hogervorst, F., Jenner, D., van Leeuwen, F., Rookus, M., Russell, N., Schmidt, M., van den Belt-Dusebout, S., Kets, C., Mensenkamp, A., de Bock, T., van der Hout, A., Mourits, M., Oosterwijk, J., Ausems, M., Koudijs, M., Baxter, R., Yip, D., Carpenter, J., Davis, A., Pathmanathan, N., Graham, D., Sachchithananthan, M., Isaacs, C., Iwasaki, M., Jager, A., Jakimovska, M., Jakubowska, A., James, P.A., Janavicius, R., Jankowitz, R.C., John, E.M., Johnson, N., Jones, M.E., Jukkola-Vuorinen, A., Jung, A., Kaaks, R., Kang, D., Kapoor, P.M., Karlan, B.Y., Keeman, R., Kerin, M.J., Khusnutdinova, E., Kiiski, J.I., Kitahara, C.M., Ko, Y.-D., Konstantopoulou, I., Kosma, V.-M., Koutros, S., Kubelka-Sabit, K., Kwong, A., Kyriacou, K., Laitman, Y., Lambrechts, D., Lee, E., Leslie, G., Lester, J., Lesueur, F., Lindblom, A., Lo, W.-Y., Long, J., Lophatananon, A., Loud, J.T., Lubiński, J., MacInnis, R.J., Maishman, T., Makalic, E., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Matsuo, K., Maurer, T., Mavroudis, D., Mayes, R., McGuffog, L., McLean, C., Meindl, A., Miller, A., Miller, N., Montagna, M., Moreno, F., Muir, K., Mulligan, A.M., Muñoz-Garzon, V.M., Muranen, T.A., Narod, S.A., Nassir, R., Nathanson, K.L., Neuhausen, S.L., Nevanlinna, H., Neven, P., Nielsen, F.C., Nikitina-Zake, L., Norman, A., Offit, K., Olah, E., Olopade, O.I., Olsson, H., Orr, N., Osorio, A., Pankratz, V.S., Papp, J., Park, S.K., Park-Simon, T.-W., Parsons, M.T., Paul, J., Pedersen, I.S., Peissel, B., Peshkin, B., Peterlongo, P., Peto, J., Plaseska-Karanfilska, D., Prajzendanc, K., Prentice, R., Presneau, N., Prokofyeva, D., Pujana, M.A., Pylkäs, K., Radice, P., Ramus, S.J., Rantala, J., Rau-Murthy, R., Rennert, G., Risch, H.A., Robson, M., Romero, A., Rossing, M., Saloustros, E., Sánchez-Herrero, E., Sandler, D.P., Santamariña, M., Sawyer, E.J., Scheuner, M.T., Schmidt, D.F., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Schöttker, B., Schürmann, P., Scott, R.J., Senter, L., Seynaeve, C.M., Shah, M., Sharma, P., Shen, C.-Y., Shu, X.-O., Singer, C.F., Slavin, T.P., Smichkoska, S., Southey, M.C., Spinelli, J.J., Spurdle, A.B., Sutter, C., Swerdlow, A.J., Tamimi, R.M., Tan, Y.Y., Tapper, W.J., Taylor, J.A., Teixeira, M.R., Tengström, M., Teo, S.H., Terry, M.B., Teulé, A., Thomassen, M., Thull, D.L., Toland, A.E., Tollenaar, R.A.E.M., Tomlinson, I., Torres, D., Torres-Mejía, G., Troester, M.A., Truong, T., Tung, N., Tzardi, M., Ulmer, H.-U., Vachon, C.M., van der Kolk, L.E., van Rensburg, E.J., Vega, A., Viel, A., Vijai, J., Vogel, M.J., Wang, Q., Wappenschmidt, B., Weinberg, C.R., Weitzel, J.N., Wendt, C., Wildiers, H., Winqvist, R., Wolk, A., Wu, A.H., Yannoukakos, D., Zhang, Y., Zheng, W., Hunter, D., Pharoah, P.D.P., Chang-Claude, J., García-Closas, M., Schmidt, M.K., Kristensen, V.N., French, J.D., Edwards, S.L., Antoniou, A.C., Simard, J., Easton, D.F., Kraft, P., Dunning, A.M., Collaborators, GEMO Study, Collaborators, EMBRACE, Investigators, KConFab, Investigators, HEBON, Investigators, ABCTB, Fachal, Laura, Aschard, Hugues, Beesley, Jonathan, Barnes, Daniel R, Duijf, Pascal, Dunning, Alison M, GEMO Study Collaborators, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, MUMC+: MA Medische Oncologie (9), RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, Klinische Genetica, MUMC+: DA KG Polikliniek (9), RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Lab Centraal Lab (9), European Commission, Government of Canada, Canadian Institutes of Health Research, National Institutes of Health (US), Cancer Research UK, Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), QIMR Berghofer Medical Research Institute, University of Cambridge [UK] (CAM), NSCAD, University of Cyprus [Nicosia], Harvard T.H. Chan School of Public Health, This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under Marie Sklodowska-Curie grant agreement number 656144. Genotyping of the OncoArray was principally funded from three sources: the PERSPECTIVE project (funded by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the ‘Ministère de l’Économie de la Science et de l’Innovation du Québec’ (through Genome Québec) and the Quebec Breast Cancer Foundation), the NCI Genetic Associations and Mechanisms in Oncology (GAME-ON) initiative and the Discovery, Biology and Risk of Inherited Variants in Breast Cancer (DRIVE) project (NIH grants U19 CA148065 and X01HG007492), and Cancer Research UK (C1287/A10118, C8197/A16565 and C1287/A16563). BCAC is funded by Cancer Research UK (C1287/A16563), by the European Community’s Seventh Framework Programme under grant agreement 223175 (HEALTH-F2-2009-223175) (COGS) and by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreements 633784 (B-CAST) and 634935 (BRIDGES). Genotyping of the iCOGS array was funded by the European Union (HEALTH-F2-2009-223175), Cancer Research UK (C1287/A10710), the Canadian Institutes of Health Research for the ‘CIHR Team in Familial Risks of Breast Cancer’ program, and the Ministry of Economic Development, Innovation and Export Trade of Quebec (grant PSR-SIIRI-701). Combining of the GWAS data was supported in part by NIH Cancer Post-Cancer GWAS initiative grant U19 CA 148065 (DRIVE, part of the GAME-ON initiative). For a full description of funding and acknowledgments, see the Supplementary Note., We thank all of the individuals who took part in these studies, as well as all of the researchers, clinicians, technicians and administrative staff who enabled this work to be carried out, European Project: 656144,H2020,H2020-MSCA-IF-2014,RADIOGENFF(2016), European Project: 223175,EC:FP7:HEALTH,FP7-HEALTH-2007-B,COGS(2009), European Project: 633784,H2020,H2020-PHC-2014-two-stage,B-CAST(2015), European Project: 634935,H2020,H2020-PHC-2014-two-stage,BRIDGES(2015), Clinical Genetics, Medical Oncology, Pathology, Radiology & Nuclear Medicine, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Cyprus [Nicosia] (UCY), 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, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Life Course Epidemiology (LCE), Targeted Gynaecologic Oncology (TARGON), ​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Aschard, Hugues [0000-0002-7554-6783], Barnes, Daniel R [0000-0002-3781-7570], Dennis, Joe [0000-0003-4591-1214], Michailidou, Kyriaki [0000-0001-7065-1237], Lemaçon, Audrey [0000-0002-1817-7029], Andrulis, Irene L [0000-0002-4226-6435], Arason, Adalgeir [0000-0003-0480-886X], Arndt, Volker [0000-0001-9320-8684], Auber, Bernd [0000-0003-1880-291X], Azzollini, Jacopo [0000-0002-9364-9778], Bojesen, Stig E [0000-0002-4061-4133], Bonanni, Bernardo [0000-0003-3589-2128], Brauch, Hiltrud [0000-0001-7531-2736], Campbell, Ian [0000-0002-7773-4155], Carroll, Jason S [0000-0003-3643-0080], Claes, Kathleen BM [0000-0003-0841-7372], Collée, J Margriet [0000-0002-9272-9346], Devilee, Peter [0000-0002-8023-2009], Dörk, Thilo [0000-0002-9458-0282], Dwek, Miriam [0000-0001-7184-2932], Fletcher, Olivia [0000-0001-9387-7116], Floris, Giuseppe [0000-0003-2391-5425], Foulkes, William D [0000-0001-7427-4651], García-Sáenz, José A [0000-0001-6880-0301], Greene, Mark H [0000-0003-1852-9239], Guénel, Pascal [0000-0002-8359-518X], Heemskerk-Gerritsen, Bernadette AM [0000-0002-9724-6693], Hollestelle, Antoinette [0000-0003-1166-1966], Hulick, Peter J [0000-0001-8397-4078], Jakimovska, Milena [0000-0002-1506-0669], Jakubowska, Anna [0000-0002-5650-0501], James, Paul A [0000-0002-4361-4657], Jones, Michael E [0000-0001-7479-3451], Kapoor, Pooja Middha [0000-0001-5503-8215], Keeman, Renske [0000-0002-5452-9933], Konstantopoulou, Irene [0000-0002-0470-0309], Leslie, Goska [0000-0001-5756-6222], Lesueur, Fabienne [0000-0001-7404-4549], Matsuo, Keitaro [0000-0003-1761-6314], McLean, Catriona [0000-0002-0302-5727], Miller, Austin [0000-0001-9739-8462], Muir, Kenneth [0000-0001-6429-988X], Muranen, Taru A [0000-0002-5895-1808], Nathanson, Katherine L [0000-0002-6740-0901], Nevanlinna, Heli [0000-0002-0916-2976], Olopade, Olufunmilayo I [0000-0002-9936-1599], Orr, Nick [0000-0003-2866-942X], Pankratz, V Shane [0000-0002-3742-040X], Parsons, Michael T [0000-0003-3242-8477], Paul, James [0000-0001-7367-5816], Peshkin, Beth [0000-0002-2997-4701], Peterlongo, Paolo [0000-0001-6951-6855], Peto, Julian [0000-0002-1685-8912], Plaseska-Karanfilska, Dijana [0000-0001-8877-2416], Pylkäs, Katri [0000-0002-2449-0521], Radice, Paolo [0000-0001-6298-4111], Rennert, Gad [0000-0002-8512-068X], Robson, Mark [0000-0002-3109-1692], Romero, Atocha [0000-0002-1634-7397], Saloustros, Emmanouil [0000-0002-0485-0120], Scott, Christopher [0000-0003-1340-0647], Scott, Rodney J [0000-0001-7724-3404], Spurdle, Amanda B [0000-0003-1337-7897], Stone, Jennifer [0000-0001-5077-0124], Sutter, Christian [0000-0003-4051-5888], Tan, Yen Yen [0000-0003-1063-5352], Teixeira, Manuel R [0000-0002-4896-5982], Toland, Amanda E [0000-0002-0271-1792], Tomlinson, Ian [0000-0003-3037-1470], Viel, Alessandra [0000-0003-2804-0840], Vijai, Joseph [0000-0002-7933-151X], Wolk, Alicja [0000-0001-7387-6845], Yannoukakos, Drakoulis [0000-0001-7509-3510], Pharoah, Paul DP [0000-0001-8494-732X], Schmidt, Marjanka K [0000-0002-2228-429X], Milne, Roger L [0000-0001-5764-7268], Edwards, Stacey L [0000-0001-7428-4139], Simard, Jacques [0000-0001-6906-3390], Easton, Douglas F [0000-0003-2444-3247], Kraft, Peter [0000-0002-4472-8103], Dunning, Alison M [0000-0001-6651-7166], Apollo - University of Cambridge Repository, Academic Medical Center, ARD - Amsterdam Reproduction and Development, Human genetics, CCA - Cancer biology and immunology, Molecular cell biology and Immunology, Medicum, Kristiina Aittomäki / Principal Investigator, HUSLAB, Department of Medical and Clinical Genetics, University of Helsinki, HUS Comprehensive Cancer Center, Department of Oncology, Clinicum, Doctoral Programme in Clinical Research, Staff Services, INDIVIDRUG - Individualized Drug Therapy, HUS Gynecology and Obstetrics, and Department of Obstetrics and Gynecology

Subjects
CHROMATIN, Linkage disequilibrium, Genome-wide association study, Regulatory Sequences, Nucleic Acid, Genome-wide association studies, Linkage Disequilibrium, Basic medicine, 0302 clinical medicine, Breast cancer, MESH: Risk Factors, Risk Factors, COMPREHENSIVE MOLECULAR PORTRAITS, 11 Medical and Health Sciences, HEBON Investigators, Genetics & Heredity, 0303 health sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP], PROTEIN FUNCTION, Tumor, breast tumor, MESH: Polymorphism, Single Nucleotide, 1184 Genetics, developmental biology, physiology, MESH: Genetic Predisposition to Disease, apoptosis, Chromosome Mapping, Single Nucleotide, 3. Good health, MESH: Linkage Disequilibrium, Female, MESH: Biomarkers, Tumor, Biomarkers, Tumor/genetics, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Life Sciences & Biomedicine, SUSCEPTIBILITY LOCI, MESH: Bayes Theorem, Quantitative Trait Loci, ABCTB Investigators, INTEGRATIVE ANALYSIS, Breast Neoplasms, Computational biology, Biology, Quantitative trait locus, Breast Neoplasms/genetics, Polymorphism, Single Nucleotide, Article, ENHANCER, GEMO Study Collaborators, 03 medical and health sciences, breast cancer, SDG 3 - Good Health and Well-being, REVEALS, Genetics, Biomarkers, Tumor, MESH: Regulatory Sequences, Nucleic Acid, Humans, Genetic Predisposition to Disease, Polymorphism, GENOME-WIDE ASSOCIATION, FUNCTIONAL VARIANTS, EMBRACE Collaborators, Gene, 030304 developmental biology, Genetic association, Bayes Theorem, Genome-Wide Association Study, MESH: Humans, Science & Technology, Nucleic Acid, gene mapping, 06 Biological Sciences, MESH: Quantitative Trait Loci, DNA binding site, ESTROGEN-RECEPTOR, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Clinical medicine, Expression quantitative trait loci, MESH: Genome-Wide Association Study, Human genome, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, KConFab Investigators, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Chromosome Mapping, Chromosome Mapping/methods, Regulatory Sequences, MESH: Female, Biomarkers, 030217 neurology & neurosurgery, MESH: Breast Neoplasms, Developmental Biology
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 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 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 those potentially causal variants, using gene expression (expression quantitative trait loci), 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 highest-confidence target genes., This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under Marie Sklodowska-Curie grant agreement number 656144. Genotyping of the OncoArray was principally funded from three sources: the PERSPECTIVE project (funded by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the ‘Ministère de l’Économie de la Science et de l’Innovation du Québec’ (through Genome Québec) and the Quebec Breast Cancer Foundation); the NCI Genetic Associations and Mechanisms in Oncology (GAME-ON) initiative and the Discovery, Biology and Risk of Inherited Variants in Breast Cancer (DRIVE) project (NIH grants U19 CA148065 and X01HG007492); and Cancer Research UK (C1287/A10118, C8197/A16565 and C1287/A16563). BCAC is funded by Cancer Research UK (C1287/A16563), by the European Community’s Seventh Framework Programme under grant agreement 223175 (HEALTH-F2-2009-223175) (COGS) and by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreements 633784 (B-CAST) and 634935 (BRIDGES). Genotyping of the iCOGS array was funded by the European Union (HEALTH-F2-2009-223175), Cancer Research UK (C1287/A10710), the Canadian Institutes of Health Research for the ‘CIHR Team in Familial Risks of Breast Cancer’ program, and the Ministry of Economic Development, Innovation and Export Trade of Quebec (grant PSR-SIIRI-701). Combining of the GWAS data was supported in part by NIH Cancer Post-Cancer GWAS initiative grant U19 CA 148065 (DRIVE; part of the GAME-ON initiative).

Published
2020

2. Erratum: A SUMOylation-defective MITF germline mutation predisposes to melanoma and renal carcinoma (Nature (2011) 480:94-98 doi:10.1038/nature10539)

Author

Bertolotto, C., Lesueur, F., Giuliano, S., Strub, T., De Lichy, M., Bille, K., Dessen, P., D'Hayer, B., Mohamdi, H., Remenieras, A., Maubec, E., De La Fouchardiere, A., Molinie, V., Vabres, P., Dalle, S., Poulalhon, N., Martin-Denavit, T., Thomas, L., Andry-Benzaquen, P., Dupin, N., Boitier, F., Rossi, A., Perrot, J. -L., Labeille, B., Robert, C., Escudier, B., Caron, O., Brugieres, L., Saule, S., Gardie, B., Gad, S., Richard, S., Couturier, J., Teh, B. T., Ghiorzo, P., Pastorino, L., Puig, S., Badenas, C., Olsson, H., Ingvar, C., Rouleau, E., Lidereau, R., Bahadoran, P., Vielh, P., Corda, E., Blanche, H., Zelenika, D., Galan, P., Chaudru, V., Lenoir, G. M., Lathrop, M., Davidson, I., Avril, M. -F., Demenais, F., Ballotti, R., and Bressac-De Paillerets, B.

Published
2016

3. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

Author

Phelan, CM, Kuchenbaecker, KB, Tyrer, JP, Kar, SP, Lawrenson, K, Winham, SJ, Dennis, J, Pirie, A, Riggan, MJ, Chornokur, G, Earp, MA, Lyra, PC, Lee, JM, Coetzee, S, Beesley, J, McGuffog, L, Soucy, P, Dicks, E, Lee, A, Barrowdale, D, Lecarpentier, J, Leslie, G, Aalfs, CM, Aben, KKH, Adams, M, Adlard, J, Andrulis, IL, Anton-Culver, H, Antonenkova, N, AOCS Study Group, Aravantinos, G, Arnold, N, Arun, BK, Arver, B, Azzollini, J, Balmaña, J, Banerjee, SN, Barjhoux, L, Barkardottir, RB, Bean, Y, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Birrer, MJ, Bjorge, L, Black, A, Blankstein, K, Blok, MJ, Bodelon, C, Bogdanova, N, Bojesen, A, Bonanni, B, Borg, Å, Bradbury, AR, Brenton, JD, Brewer, C, Brinton, L, Broberg, P, Brooks-Wilson, A, Bruinsma, F, Brunet, J, Buecher, B, Butzow, R, Buys, SS, Caldes, T, Caligo, MA, Campbell, I, Cannioto, R, Carney, ME, Cescon, T, Chan, SB, Chang-Claude, J, Chanock, S, Chen, XQ, Chiew, Y-E, Chiquette, J, Chung, WK, Claes, KBM, Conner, T, Cook, LS, Cook, J, Cramer, DW, Cunningham, JM, D'Aloisio, AA, Daly, MB, Damiola, F, Damirovna, SD, Dansonka-Mieszkowska, A, Dao, F, Davidson, R, DeFazio, A, Delnatte, C, Doheny, KF, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dorfling, CM, Dörk, T, Dossus, L, Duran, M, Dürst, M, Dworniczak, B, Eccles, D, Edwards, T, Eeles, R, Eilber, U, Ejlertsen, B, Ekici, AB, Ellis, S, Elvira, M, EMBRACE Study, Eng, KH, Engel, C, Evans, DG, Fasching, PA, Ferguson, S, Ferrer, SF, Flanagan, JM, Fogarty, ZC, Fortner, RT, Fostira, F, Foulkes, WD, Fountzilas, G, Fridley, BL, Friebel, TM, Friedman, E, Frost, D, Ganz, PA, Garber, J, García, MJ, Garcia-Barberan, V, Gehrig, A, GEMO Study Collaborators, Gentry-Maharaj, A, Gerdes, A-M, Giles, GG, Glasspool, R, Glendon, G, Godwin, AK, Goldgar, DE, Goranova, T, Gore, M, Greene, MH, Gronwald, J, Gruber, S, Hahnen, E, Haiman, CA, Håkansson, N, Hamann, U, Hansen, TVO, Harrington, PA, Harris, HR, Hauke, J, HEBON Study, Hein, A, Henderson, A, Hildebrandt, MAT, Hillemanns, P, Hodgson, S, Høgdall, CK, Høgdall, E, Hogervorst, FBL, Holland, H, Hooning, MJ, Hosking, K, Huang, R-Y, Hulick, PJ, Hung, J, Hunter, DJ, Huntsman, DG, Huzarski, T, Imyanitov, EN, Isaacs, C, Iversen, ES, Izatt, L, Izquierdo, A, Jakubowska, A, James, P, Janavicius, R, Jernetz, M, Jensen, A, Jensen, UB, John, EM, Johnatty, S, Jones, ME, Kannisto, P, Karlan, BY, Karnezis, A, Kast, K, KConFab Investigators, Kennedy, CJ, Khusnutdinova, E, Kiemeney, LA, Kiiski, JI, Kim, S-W, Kjaer, SK, Köbel, M, Kopperud, RK, Kruse, TA, Kupryjanczyk, J, Kwong, A, Laitman, Y, Lambrechts, D, Larrañaga, N, Larson, MC, Lazaro, C, Le, ND, Le Marchand, L, Lee, JW, Lele, SB, Leminen, A, Leroux, D, Lester, J, Lesueur, F, Levine, DA, Liang, D, Liebrich, C, Lilyquist, J, Lipworth, L, Lissowska, J, Lu, KH, Lubinński, J, Luccarini, C, Lundvall, L, Mai, PL, Mendoza-Fandiño, G, Manoukian, S, Massuger, LFAG, May, T, Mazoyer, S, McAlpine, JN, McGuire, V, McLaughlin, McNeish, I, Meijers-Heijboer, H, Meindl, A, Menon, U, Mensenkamp, AR, Merritt, MA, Milne, RL, Mitchell, G, Modugno, F, Moes-Sosnowska, J, Moffitt, M, Montagna, M, Moysich, KB, Mulligan, AM, Musinsky, J, Nathanson, KL, Nedergaard, L, Ness, RB, Neuhausen, SL, Nevanlinna, H, Niederacher, D, Nussbaum, RL, Odunsi, K, Olah, E, Olopade, OI, Olsson, H, Olswold, C, O'Malley, DM, Ong, K-R, Onland-Moret, NC, OPAL Study Group, Orr, N, Orsulic, S, Osorio, A, Palli, D, Papi, L, Park-Simon, T-W, Paul, J, Pearce, CL, Pedersen, IS, Peeters, PHM, Peissel, B, Peixoto, A, Pejovic, T, Pelttari, LM, Permuth, JB, Peterlongo, P, Pezzani, L, Pfeiler, G, Phillips, K-A, Piedmonte, M, Pike, MC, Piskorz, AM, Poblete, Pocza, T, Poole, EM, Poppe, B, Porteous, ME, Prieur, F, Prokofyeva, D, Pugh, E, Pujana, MA, Pujol, P, Radice, P, Rantala, J, Rappaport-Fuerhauser, C, Rennert, G, Rhiem, K, Rice, P, Richardson, A, Robson, M, Rodriguez, GC, Rodríguez-Antona, C, Romm, J, Rookus, MA, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Salvesen, HB, Sandler, DP, Schoemaker, MJ, Senter, L, Setiawan, VW, Severi, G, Sharma, P, Shelford, T, Siddiqui, N, Side, LE, Sieh, W, Singer, CF, Sobol, H, Song, H, Southey, MC, Spurdle, AB, Stadler, Z, Steinemann, D, Stoppa-Lyonnet, D, Sucheston-Campbell, LE, Sukiennicki, G, Sutphen, R, Sutter, C, Swerdlow, AJ, Szabo, CI, Szafron, L, Tan, YY, Taylor, JA, Tea, M-K, Teixeira, MR, Teo, S-H, Terry, KL, Thompson, PJ, Thomsen, LCV, Thull, DL, Tihomirova, L, Tinker, AV, Tischkowitz, M, Tognazzo, S, Toland, AE, Tone, A, Trabert, B, Travis, RC, Trichopoulou, A, Tung, N, Tworoger, SS, Van Altena, AM, Van Den Berg, D, Van Der Hout, AH, Van Der Luijt, RB, Van Heetvelde, M, Van Nieuwenhuysen, E, Van Rensburg, EJ, Vanderstichele, A, Varon-Mateeva, R, Vega, A, Edwards, DV, Vergote, I, Vierkant, RA, Vijai, J, Vratimos, A, Walker, L, Walsh, C, Wand, D, Wang-Gohrke, S, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, Whittemore, AS, Wijnen, JT, Wilkens, LR, Wolk, A, Woo, M, Wu, X, Wu, AH, Yang, H, Yannoukakos, D, Ziogas, A, Zorn, KK, Narod, SA, Easton, DF, Amos, CI, Schildkraut, JM, Ramus, SJ, Ottini, L, Goodman, MT, Park, SK, Kelemen, LE, Risch, HA, Thomassen, M, Offit, K, Simard, J, Schmutzler, RK, Hazelett, D, Monteiro, AN, Couch, FJ, Berchuck, A, Chenevix-Trench, G, Goode, EL, Sellers, TA, Gayther, SA, Antoniou, AC, and Pharoah, PDP

Subjects
ovarian cancer, endocrine system diseases, genome-wide association studies, epidemiology, female genital diseases and pregnancy complications, 3. Good health
Abstract

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 $\textit{BRCA1}$ and $\textit{BRCA2}$ mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

4. Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

Author

Dareng EO, Tyrer JP, Barnes DR, Jones MR, Yang X, Aben KKH, Adank MA, Agata S, Andrulis IL, Anton-Culver H, Antonenkova NN, Aravantinos G, Arun BK, Augustinsson A, Balmaña J, Bandera EV, Barkardottir RB, Barrowdale D, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bermisheva M, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bonanni B, Borg A, Brenton JD, Budzilowska A, Butzow R, Buys SS, Cai H, Caligo MA, Campbell I, Cannioto R, Cassingham H, Chang-Claude J, Chanock SJ, Chen K, Chiew YE, Chung WK, Claes KBM, Colonna S, Cook LS, Couch FJ, Daly MB, Dao F, Davies E, de la Hoya M, de Putter R, Dennis J, DePersia A, Devilee P, Diez O, Ding YC, Doherty JA, Domchek SM, Dörk T, du Bois A, Dürst M, Eccles DM, Eliassen HA, Engel C, Evans GD, Fasching PA, Flanagan JM, Fortner RT, Machackova E, Friedman E, Ganz PA, Garber J, Gensini F, Giles GG, Glendon G, Godwin AK, Goodman MT, Greene MH, Gronwald J, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hansen TVO, Harris HR, Hartman M, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Hopper JL, Huang RY, Huff C, Hulick PJ, Huntsman DG, Imyanitov EN, Isaacs C, Jakubowska A, James PA, Janavicius R, Jensen A, Johannsson OT, John EM, Jones ME, Kang D, Karlan BY, Karnezis A, Kelemen LE, Khusnutdinova E, Kiemeney LA, Kim BG, Kjaer SK, Komenaka I, Kupryjanczyk J, Kurian AW, Kwong A, Lambrechts D, Larson MC, Lazaro C, Le ND, Leslie G, Lester J, Lesueur F, Levine DA, Li L, Li J, Loud JT, Lu KH, Lubiński J, Mai PL, Manoukian S, Marks JR, Matsuno RK, Matsuo K, May T, McGuffog L, McLaughlin JR, McNeish IA, Mebirouk N, Menon U, Miller A, Milne RL, Minlikeeva A, Modugno F, Montagna M, Moysich KB, Munro E, Nathanson KL, Neuhausen SL, Nevanlinna H, Yie JNY, Nielsen HR, Nielsen FC, Nikitina-Zake L, Odunsi K, Offit K, Olah E, Olbrecht S, Olopade OI, Olson SH, Olsson H, Osorio A, Papi L, Park SK, Parsons MT, Pathak H, Pedersen IS, Peixoto A, Pejovic T, Perez-Segura P, Permuth JB, Peshkin B, Peterlongo P, Piskorz A, Prokofyeva D, Radice P, Rantala J, Riggan MJ, Risch HA, Rodriguez-Antona C, Ross E, Rossing MA, Runnebaum I, Sandler DP, Santamariña M, Soucy P, Schmutzler RK, Setiawan VW, Shan K, Sieh W, Simard J, Singer CF, Sokolenko AP, Song H, Southey MC, Steed H, Stoppa-Lyonnet D, Sutphen R, Swerdlow AJ, Tan YY, Teixeira MR, Teo SH, Terry KL, Terry MB, Thomassen M, Thompson PJ, Thomsen LCV, Thull DL, Tischkowitz M, Titus L, Toland AE, Torres D, Trabert B, Travis R, Tung N, Tworoger SS, Valen E, van Altena AM, van der Hout AH, Van Nieuwenhuysen E, van Rensburg EJ, Vega A, Edwards DV, Vierkant RA, Wang F, Wappenschmidt B, Webb PM, Weinberg CR, Weitzel JN, Wentzensen N, White E, Whittemore AS, Winham SJ, Wolk A, Woo YL, Wu AH, Yan L, Yannoukakos D, Zavaglia KM, Zheng W, Ziogas A, Zorn KK, Kleibl Z, Easton D, Lawrenson K, DeFazio A, Sellers TA, Ramus SJ, Pearce CL, Monteiro AN, Cunningham J, Goode EL, Schildkraut JM, Berchuck A, Chenevix-Trench G, Gayther SA, Antoniou AC, and Pharoah PDP

Published
2022
Full Text
View/download PDF

5. A polygenic risk score for multiple myeloma risk prediction.

Author

Canzian F, Piredda C, Macauda A, Zawirska D, Andersen NF, Nagler A, Zaucha JM, Mazur G, Dumontet C, Wątek M, Jamroziak K, Sainz J, Várkonyi J, Butrym A, Beider K, Abildgaard N, Lesueur F, Dudziński M, Vangsted AJ, Pelosini M, Subocz E, Petrini M, Buda G, Raźny M, Gemignani F, Marques H, Orciuolo E, Kadar K, Jurczyszyn A, Druzd-Sitek A, Vogel U, Andersen V, Reis RM, Suska A, Avet-Loiseau H, Kruszewski M, Tomczak W, Rymko M, Minvielle S, and Campa D

Subjects
Genetic Predisposition to Disease, Humans, Polymorphism, Single Nucleotide, Risk Factors, Genome-Wide Association Study, Multiple Myeloma diagnosis, Multiple Myeloma genetics
Abstract

There is overwhelming epidemiologic evidence that the risk of multiple myeloma (MM) has a solid genetic background. Genome-wide association studies (GWAS) have identified 23 risk loci that contribute to the genetic susceptibility of MM, but have low individual penetrance. Combining the SNPs in a polygenic risk score (PRS) is a possible approach to improve their usefulness. Using 2361 MM cases and 1415 controls from the International Multiple Myeloma rESEarch (IMMEnSE) consortium, we computed a weighted and an unweighted PRS. We observed associations with MM risk with OR = 3.44, 95% CI 2.53-4.69, p = 3.55 × 10 -15 for the highest vs. lowest quintile of the weighted score, and OR = 3.18, 95% CI 2.1 = 34-4.33, p = 1.62 × 10 -13 for the highest vs. lowest quintile of the unweighted score. We found a convincing association of a PRS generated with 23 SNPs and risk of MM. Our work provides additional validation of previously discovered MM risk variants and of their combination into a PRS, which is a first step towards the use of genetics for risk stratification in the general population., (© 2021. The Author(s).)

Published
2022
Full Text
View/download PDF

6. Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

Author

Dareng EO, Tyrer JP, Barnes DR, Jones MR, Yang X, Aben KKH, Adank MA, Agata S, Andrulis IL, Anton-Culver H, Antonenkova NN, Aravantinos G, Arun BK, Augustinsson A, Balmaña J, Bandera EV, Barkardottir RB, Barrowdale D, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bermisheva M, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bonanni B, Borg A, Brenton JD, Budzilowska A, Butzow R, Buys SS, Cai H, Caligo MA, Campbell I, Cannioto R, Cassingham H, Chang-Claude J, Chanock SJ, Chen K, Chiew YE, Chung WK, Claes KBM, Colonna S, Cook LS, Couch FJ, Daly MB, Dao F, Davies E, de la Hoya M, de Putter R, Dennis J, DePersia A, Devilee P, Diez O, Ding YC, Doherty JA, Domchek SM, Dörk T, du Bois A, Dürst M, Eccles DM, Eliassen HA, Engel C, Evans GD, Fasching PA, Flanagan JM, Fortner RT, Machackova E, Friedman E, Ganz PA, Garber J, Gensini F, Giles GG, Glendon G, Godwin AK, Goodman MT, Greene MH, Gronwald J, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hansen TVO, Harris HR, Hartman M, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Hopper JL, Huang RY, Huff C, Hulick PJ, Huntsman DG, Imyanitov EN, Isaacs C, Jakubowska A, James PA, Janavicius R, Jensen A, Johannsson OT, John EM, Jones ME, Kang D, Karlan BY, Karnezis A, Kelemen LE, Khusnutdinova E, Kiemeney LA, Kim BG, Kjaer SK, Komenaka I, Kupryjanczyk J, Kurian AW, Kwong A, Lambrechts D, Larson MC, Lazaro C, Le ND, Leslie G, Lester J, Lesueur F, Levine DA, Li L, Li J, Loud JT, Lu KH, Lubiński J, Mai PL, Manoukian S, Marks JR, Matsuno RK, Matsuo K, May T, McGuffog L, McLaughlin JR, McNeish IA, Mebirouk N, Menon U, Miller A, Milne RL, Minlikeeva A, Modugno F, Montagna M, Moysich KB, Munro E, Nathanson KL, Neuhausen SL, Nevanlinna H, Yie JNY, Nielsen HR, Nielsen FC, Nikitina-Zake L, Odunsi K, Offit K, Olah E, Olbrecht S, Olopade OI, Olson SH, Olsson H, Osorio A, Papi L, Park SK, Parsons MT, Pathak H, Pedersen IS, Peixoto A, Pejovic T, Perez-Segura P, Permuth JB, Peshkin B, Peterlongo P, Piskorz A, Prokofyeva D, Radice P, Rantala J, Riggan MJ, Risch HA, Rodriguez-Antona C, Ross E, Rossing MA, Runnebaum I, Sandler DP, Santamariña M, Soucy P, Schmutzler RK, Setiawan VW, Shan K, Sieh W, Simard J, Singer CF, Sokolenko AP, Song H, Southey MC, Steed H, Stoppa-Lyonnet D, Sutphen R, Swerdlow AJ, Tan YY, Teixeira MR, Teo SH, Terry KL, Terry MB, Thomassen M, Thompson PJ, Thomsen LCV, Thull DL, Tischkowitz M, Titus L, Toland AE, Torres D, Trabert B, Travis R, Tung N, Tworoger SS, Valen E, van Altena AM, van der Hout AH, Van Nieuwenhuysen E, van Rensburg EJ, Vega A, Edwards DV, Vierkant RA, Wang F, Wappenschmidt B, Webb PM, Weinberg CR, Weitzel JN, Wentzensen N, White E, Whittemore AS, Winham SJ, Wolk A, Woo YL, Wu AH, Yan L, Yannoukakos D, Zavaglia KM, Zheng W, Ziogas A, Zorn KK, Kleibl Z, Easton D, Lawrenson K, DeFazio A, Sellers TA, Ramus SJ, Pearce CL, Monteiro AN, Cunningham J, Goode EL, Schildkraut JM, Berchuck A, Chenevix-Trench G, Gayther SA, Antoniou AC, and Pharoah PDP

Subjects
Bayes Theorem, Carcinoma, Ovarian Epithelial genetics, Female, Genetic Predisposition to Disease, Humans, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, Breast Neoplasms, Ovarian Neoplasms epidemiology, Ovarian Neoplasms genetics
Abstract

Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs., (© 2021. The Author(s).)

Published
2022
Full Text
View/download PDF

7. Gene network and biological pathways associated with susceptibility to differentiated thyroid carcinoma.

Author

Kulkarni O, Sugier PE, Guibon J, Boland-Augé A, Lonjou C, Bacq-Daian D, Olaso R, Rubino C, Souchard V, Rachedi F, Lence-Anta JJ, Ortiz RM, Xhaard C, Laurent-Puig P, Mulot C, Guizard AV, Schvartz C, Boutron-Ruault MC, Ostroumova E, Kesminiene A, Deleuze JF, Guénel P, De Vathaire F, Truong T, and Lesueur F

Subjects
Adolescent, Adult, Child, Child, Preschool, Female, Genome-Wide Association Study, Humans, Infant, Infant, Newborn, Male, Middle Aged, Gene Regulatory Networks, Genetic Predisposition to Disease, Genotype, Neoplasm Proteins genetics, Polymorphism, Single Nucleotide, Thyroid Neoplasms genetics
Abstract

Variants identified in earlier genome-wide association studies (GWAS) on differentiated thyroid carcinoma (DTC) explain about 10% of the overall estimated genetic contribution and could not provide complete insights into biological mechanisms involved in DTC susceptibility. Integrating systems biology information from model organisms, genome-wide expression data from tumor and matched normal tissue and GWAS data could help identifying DTC-associated genes, and pathways or functional networks in which they are involved. We performed data mining of GWAS data of the EPITHYR consortium (1551 cases and 1957 controls) using various pathways and protein-protein interaction (PPI) annotation databases and gene expression data from The Cancer Genome Atlas. We identified eight DTC-associated genes at known loci 2q35 (DIRC3), 8p12 (NRG1), 9q22 (FOXE1, TRMO, HEMGN, ANP32B, NANS) and 14q13 (MBIP). Using the EW&#95;dmGWAS approach we found that gene networks related to glycogenolysis, glycogen metabolism, insulin metabolism and signal transduction pathways associated with muscle contraction were overrepresented with association signals (false discovery rate adjusted p-value < 0.05). Additionally, suggestive association of 21 KEGG and 75 REACTOME pathways with DTC indicate a link between DTC susceptibility and functions related to metabolism of cholesterol, amino sugar and nucleotide sugar metabolism, steroid biosynthesis, and downregulation of ERBB2 signaling pathways. Together, our results provide novel insights into biological mechanisms contributing to DTC risk.

Published
2021
Full Text
View/download PDF

8. Corrigendum: A SUMOylation-defective MITF germline mutation predisposes to melanoma and renal carcinoma.

Author

Bertolotto C, Lesueur F, Giuliano S, Strub T, de Lichy M, Bille K, Dessen P, d'Hayer B, Mohamdi H, Remenieras A, Maubec E, de la Fouchardière A, Molinié V, Vabres P, Dalle S, Poulalhon N, Martin-Denavit T, Thomas L, Andry-Benzaquen P, Dupin N, Boitier F, Rossi A, Perrot JL, Labeille B, Robert C, Escudier B, Caron O, Brugières L, Saule S, Gardie B, Gad S, Richard S, Couturier J, Teh BT, Ghiorzo P, Pastorino L, Puig S, Badenas C, Olsson H, Ingvar C, Rouleau E, Lidereau R, Bahadoran P, Vielh P, Corda E, Blanché H, Zelenika D, Galan P, Chaudru V, Lenoir GM, Lathrop M, Davidson I, Avril MF, Demenais F, Ballotti R, and Bressac-de Paillerets B

Published
2016
Full Text
View/download PDF

9. A SUMOylation-defective MITF germline mutation predisposes to melanoma and renal carcinoma.

Author

Bertolotto C, Lesueur F, Giuliano S, Strub T, de Lichy M, Bille K, Dessen P, d'Hayer B, Mohamdi H, Remenieras A, Maubec E, de la Fouchardière A, Molinié V, Vabres P, Dalle S, Poulalhon N, Martin-Denavit T, Thomas L, Andry-Benzaquen P, Dupin N, Boitier F, Rossi A, Perrot JL, Labeille B, Robert C, Escudier B, Caron O, Brugières L, Saule S, Gardie B, Gad S, Richard S, Couturier J, Teh BT, Ghiorzo P, Pastorino L, Puig S, Badenas C, Olsson H, Ingvar C, Rouleau E, Lidereau R, Bahadoran P, Vielh P, Corda E, Blanché H, Zelenika D, Galan P, Aubin F, Bachollet B, Becuwe C, Berthet P, Bignon YJ, Bonadona V, Bonafe JL, Bonnet-Dupeyron MN, Cambazard F, Chevrant-Breton J, Coupier I, Dalac S, Demange L, d'Incan M, Dugast C, Faivre L, Vincent-Fétita L, Gauthier-Villars M, Gilbert B, Grange F, Grob JJ, Humbert P, Janin N, Joly P, Kerob D, Lasset C, Leroux D, Levang J, Limacher JM, Livideanu C, Longy M, Lortholary A, Stoppa-Lyonnet D, Mansard S, Mansuy L, Marrou K, Matéus C, Maugard C, Meyer N, Nogues C, Souteyrand P, Venat-Bouvet L, Zattara H, Chaudru V, Lenoir GM, Lathrop M, Davidson I, Avril MF, Demenais F, Ballotti R, and Bressac-de Paillerets B

Subjects
Cell Movement genetics, Gene Frequency, Humans, Neoplasm Invasiveness genetics, Sumoylation, Carcinoma, Renal Cell genetics, Genetic Predisposition to Disease, Germ-Line Mutation, Melanoma genetics, Microphthalmia-Associated Transcription Factor genetics
Abstract

So far, no common environmental and/or phenotypic factor has been associated with melanoma and renal cell carcinoma (RCC). The known risk factors for melanoma include sun exposure, pigmentation and nevus phenotypes; risk factors associated with RCC include smoking, obesity and hypertension. A recent study of coexisting melanoma and RCC in the same patients supports a genetic predisposition underlying the association between these two cancers. The microphthalmia-associated transcription factor (MITF) has been proposed to act as a melanoma oncogene; it also stimulates the transcription of hypoxia inducible factor (HIF1A), the pathway of which is targeted by kidney cancer susceptibility genes. We therefore proposed that MITF might have a role in conferring a genetic predisposition to co-occurring melanoma and RCC. Here we identify a germline missense substitution in MITF (Mi-E318K) that occurred at a significantly higher frequency in genetically enriched patients affected with melanoma, RCC or both cancers, when compared with controls. Overall, Mi-E318K carriers had a higher than fivefold increased risk of developing melanoma, RCC or both cancers. Codon 318 is located in a small-ubiquitin-like modifier (SUMO) consensus site (ΨKXE) and Mi-E318K severely impaired SUMOylation of MITF. Mi-E318K enhanced MITF protein binding to the HIF1A promoter and increased its transcriptional activity compared to wild-type MITF. Further, we observed a global increase in Mi-E318K-occupied loci. In an RCC cell line, gene expression profiling identified a Mi-E318K signature related to cell growth, proliferation and inflammation. Lastly, the mutant protein enhanced melanocytic and renal cell clonogenicity, migration and invasion, consistent with a gain-of-function role in tumorigenesis. Our data provide insights into the link between SUMOylation, transcription and cancer.

Published
2011
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results