4 results on '"Collin-Deschesnes, Annie Claude"'
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2. Author Correction: Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk
- Author
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Wilcox, Naomi, Dumont, Martine, González-Neira, Anna, Carvalho, Sara, Joly Beauparlant, Charles, Crotti, Marco, Luccarini, Craig, Soucy, Penny, Dubois, Stéphane, Nuñez-Torres, Rocio, Pita, Guillermo, Gardner, Eugene J., Dennis, Joe, Alonso, M. Rosario, Álvarez, Nuria, Baynes, Caroline, Collin-Deschesnes, Annie Claude, Desjardins, Sylvie, Becher, Heiko, Behrens, Sabine, Bolla, Manjeet K., Castelao, Jose E., Chang-Claude, Jenny, Cornelissen, Sten, Dörk, Thilo, Engel, Christoph, Gago-Dominguez, Manuela, Guénel, Pascal, Hadjisavvas, Andreas, Hahnen, Eric, Hartman, Mikael, Herráez, Belén, Jung, Audrey, Keeman, Renske, Kiechle, Marion, Li, Jingmei, Loizidou, Maria A., Lush, Michael, Michailidou, Kyriaki, Panayiotidis, Mihalis I., Sim, Xueling, Teo, Soo Hwang, Tyrer, Jonathan P., van der Kolk, Lizet E., Wahlström, Cecilia, Wang, Qin, Perry, John R. B., Benitez, Javier, Schmidt, Marjanka K., Schmutzler, Rita K., Pharoah, Paul D. P., Droit, Arnaud, Dunning, Alison M., Kvist, Anders, Devilee, Peter, Easton, Douglas F., and Simard, Jacques
- Published
- 2023
- Full Text
- View/download PDF
3. Uncovering the Contribution of Moderate-Penetrance Susceptibility Genes to Breast Cancer by Whole-Exome Sequencing and Targeted Enrichment Sequencing of Candidate Genes in Women of European Ancestry
- Author
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Dumont, Martine, Weber-Lassalle, Nana, Joly-Beauparlant, Charles, Ernst, Corinna, Droit, Arnaud, Feng, Bing-Jian, Dubois, Stephane, Collin-Deschesnes, Annie-Claude, Soucy, Penny, Vallee, Maxime, Fournier, Frederic, Lemacon, Audrey, Adank, Muriel A., Allen, Jamie, Altmueller, Janine, Arnold, Norbert, Ausems, Margreet G. E. M., Berutti, Riccardo, Bolla, Manjeet K., Bull, Shelley, Carvalho, Sara, Cornelissen, Sten, Dufault, Michael R., Dunning, Alison M., Engel, Christoph, Gehrig, Andrea, Geurts-Giele, Willemina R. R., Gieger, Christian, Green, Jessica, Hackmann, Karl, Helmy, Mohamed, Hentschel, Julia, Hogervorst, Frans B. L., Hollestelle, Antoinette, Hooning, Maartje J., Horvath, Judit, Ikram, M. Arf An, Kaulfuss, Silke, Keeman, Renske, Kuang, Da, Luccarini, Craig, Maier, Wolfgang, Martens, John W. M., Niederacher, Dieter, Nurnberg, Peter, Ott, Claus-Eric, Peters, Annette, Pharoah, Paul D. P., Ramirez, Alfredo, Ramser, Juliane, Riedel-Heller, Steffi, Schmidt, Gunnar, Shah, Mitul, Scherer, Martin, Stabler, Antje, Strom, Tim M., Sutter, Christian, Thiele, Holger, van Asperen, Christi J., van der Kolk, Lizet, van der Luijt, Rob B., Volk, Alexander E., Wagner, Michael, Waisfisz, Quinten, Wang, Qin, Wang-Gohrke, Shan, Weber, Bernhard H. F., Devilee, Peter, Tavtigian, Sean, Bader, Gary D., Meindl, Alfons, Goldgar, David E., Andrulis, Irene L., Schmutzler, Rita K., Easton, Douglas F., Schmidt, Marjanka K., Hahnen, Eric, Simard, Jacques, Dumont, Martine, Weber-Lassalle, Nana, Joly-Beauparlant, Charles, Ernst, Corinna, Droit, Arnaud, Feng, Bing-Jian, Dubois, Stephane, Collin-Deschesnes, Annie-Claude, Soucy, Penny, Vallee, Maxime, Fournier, Frederic, Lemacon, Audrey, Adank, Muriel A., Allen, Jamie, Altmueller, Janine, Arnold, Norbert, Ausems, Margreet G. E. M., Berutti, Riccardo, Bolla, Manjeet K., Bull, Shelley, Carvalho, Sara, Cornelissen, Sten, Dufault, Michael R., Dunning, Alison M., Engel, Christoph, Gehrig, Andrea, Geurts-Giele, Willemina R. R., Gieger, Christian, Green, Jessica, Hackmann, Karl, Helmy, Mohamed, Hentschel, Julia, Hogervorst, Frans B. L., Hollestelle, Antoinette, Hooning, Maartje J., Horvath, Judit, Ikram, M. Arf An, Kaulfuss, Silke, Keeman, Renske, Kuang, Da, Luccarini, Craig, Maier, Wolfgang, Martens, John W. M., Niederacher, Dieter, Nurnberg, Peter, Ott, Claus-Eric, Peters, Annette, Pharoah, Paul D. P., Ramirez, Alfredo, Ramser, Juliane, Riedel-Heller, Steffi, Schmidt, Gunnar, Shah, Mitul, Scherer, Martin, Stabler, Antje, Strom, Tim M., Sutter, Christian, Thiele, Holger, van Asperen, Christi J., van der Kolk, Lizet, van der Luijt, Rob B., Volk, Alexander E., Wagner, Michael, Waisfisz, Quinten, Wang, Qin, Wang-Gohrke, Shan, Weber, Bernhard H. F., Devilee, Peter, Tavtigian, Sean, Bader, Gary D., Meindl, Alfons, Goldgar, David E., Andrulis, Irene L., Schmutzler, Rita K., Easton, Douglas F., Schmidt, Marjanka K., Hahnen, Eric, and Simard, Jacques
- Abstract
Simple Summary Genetic variants explaining approximately 40% of familial breast cancer risk have been identified, thus leaving a significant fraction of the heritability of this disease still unexplained. The exact nature of this missing fraction is unknown; more extensive sequencing efforts could potentially identify new moderate-penetrance breast cancer risk alleles. The aim of this study was to perform a large-scale whole-exome sequencing study, followed by a targeted validation, in breast cancer patients and healthy women of European descent. We identified 20 novel genes with modest evidence of association (p-value < 0.05) for either overall or subtype-specific breast cancer; however, much larger studies are needed to confirm the exact role of these genes in susceptibility to breast cancer. Rare variants in at least 10 genes, including BRCA1, BRCA2, PALB2, ATM, and CHEK2, are associated with increased risk of breast cancer; however, these variants, in combination with common variants identified through genome-wide association studies, explain only a fraction of the familial aggregation of the disease. To identify further susceptibility genes, we performed a two-stage whole-exome sequencing study. In the discovery stage, samples from 1528 breast cancer cases enriched for breast cancer susceptibility and 3733 geographically matched unaffected controls were sequenced. Using five different filtering and gene prioritization strategies, 198 genes were selected for further validation. These genes, and a panel of 32 known or suspected breast cancer susceptibility genes, were assessed in a validation set of 6211 cases and 6019 controls for their association with risk of breast cancer overall, and by estrogen receptor (ER) disease subtypes, using gene burden tests applied to loss-of-function and rare missense variants. Twenty genes showed nominal evidence of association (p-value < 0.05) with either overall or subtype-specific breast cancer. Our study had the statistical p
- Published
- 2022
4. Uncovering the Contribution of Moderate-Penetrance Susceptibility Genes to Breast Cancer by Whole-Exome Sequencing and Targeted Enrichment Sequencing of Candidate Genes in Women of European Ancestry.
- Author
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Dumont M, Weber-Lassalle N, Joly-Beauparlant C, Ernst C, Droit A, Feng BJ, Dubois S, Collin-Deschesnes AC, Soucy P, Vallée M, Fournier F, Lemaçon A, Adank MA, Allen J, Altmüller J, Arnold N, Ausems MGEM, Berutti R, Bolla MK, Bull S, Carvalho S, Cornelissen S, Dufault MR, Dunning AM, Engel C, Gehrig A, Geurts-Giele WRR, Gieger C, Green J, Hackmann K, Helmy M, Hentschel J, Hogervorst FBL, Hollestelle A, Hooning MJ, Horváth J, Ikram MA, Kaulfuß S, Keeman R, Kuang D, Luccarini C, Maier W, Martens JWM, Niederacher D, Nürnberg P, Ott CE, Peters A, Pharoah PDP, Ramirez A, Ramser J, Riedel-Heller S, Schmidt G, Shah M, Scherer M, Stäbler A, Strom TM, Sutter C, Thiele H, van Asperen CJ, van der Kolk L, van der Luijt RB, Volk AE, Wagner M, Waisfisz Q, Wang Q, Wang-Gohrke S, Weber BHF, Genome Of The Netherlands Project, Ghs Study Group, Devilee P, Tavtigian S, Bader GD, Meindl A, Goldgar DE, Andrulis IL, Schmutzler RK, Easton DF, Schmidt MK, Hahnen E, and Simard J
- Abstract
Rare variants in at least 10 genes, including BRCA1, BRCA2, PALB2, ATM, and CHEK2, are associated with increased risk of breast cancer; however, these variants, in combination with common variants identified through genome-wide association studies, explain only a fraction of the familial aggregation of the disease. To identify further susceptibility genes, we performed a two-stage whole-exome sequencing study. In the discovery stage, samples from 1528 breast cancer cases enriched for breast cancer susceptibility and 3733 geographically matched unaffected controls were sequenced. Using five different filtering and gene prioritization strategies, 198 genes were selected for further validation. These genes, and a panel of 32 known or suspected breast cancer susceptibility genes, were assessed in a validation set of 6211 cases and 6019 controls for their association with risk of breast cancer overall, and by estrogen receptor (ER) disease subtypes, using gene burden tests applied to loss-of-function and rare missense variants. Twenty genes showed nominal evidence of association (p-value < 0.05) with either overall or subtype-specific breast cancer. Our study had the statistical power to detect susceptibility genes with effect sizes similar to ATM, CHEK2, and PALB2, however, it was underpowered to identify genes in which susceptibility variants are rarer or confer smaller effect sizes. Larger sample sizes would be required in order to identify such genes.
- Published
- 2022
- Full Text
- View/download PDF
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