Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry

Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium c...

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Veröffentlicht in:	Genome medicine 2023-01, Vol.15 (1), p.7-18, Article 7
Hauptverfasser:	Mueller, Stefanie H, Lai, Alvina G, Valkovskaya, Maria, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Abu-Ful, Zomoruda, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baert, Thais, Freeman, Laura E Beane, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Brenner, Hermann, Brucker, Sara Y, Buys, Saundra S, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Choi, Ji-Yeob, Chung, Wendy K, Colonna, Sarah V, Cornelissen, Sten, Couch, Fergus J, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Yu-Tang, García-Closas, Montserrat, García-Sáenz, José A, Genkinger, Jeanine, Gentry-Maharaj, Aleksandra, Grassmann, Felix, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Harkness, Elaine F, Harrington, Patricia A, Hartikainen, Jaana M, Hartman, Mikael, Hein, Alexander, Ho, Weang-Kee, Hooning, Maartje J, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Huo, Dezheng, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K, Kim, Sung-Won, Kitahara, Cari M, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Kwong, Ava, Lacey, James V, Lambrechts, Diether, Le Marchand, Loic
Format:	Artikel
Sprache:	eng
Schlagworte:	African ancestry group Asian Basic Medicine Black People Black person boredom susceptibility Breast cancer Breast cancer susceptibility Breast Neoplasms Breast Neoplasms - genetics breast tumor Cancer Cancer and Oncology Cancer och onkologi cancer prognosis CBLB gene Clinical Medicine cohort analysis Comparative analysis controlled study Disease Disease susceptibility Diverse ancestry ESR1 gene ESR1 protein European Female FGFR2 gene Fibroblast growth factor receptor 2 FMNL3 gene FMNL3 protein, human Formins Formins - genetics gene base aggregation gene expression level Gene regulation gene structure Genes Genetic aspects genetic association genetic association study genetic code genetic predisposition Genetic Predisposition to Disease genetic screening Genetic Testing genetic variability Genetics Genome-wide association study Genome-Wide Association Study - methods Genomes Genomics Genotype & phenotype Hispanic Hispanic Americans human human cell Human genetics human tissue Humans Klinisk medicin Life Sciences Literature reviews LSP1 gene major clinical study MAP3K1 gene Medical and Health Sciences Medical Genetics Medicin och hälsovetenskap Medicinsk genetik Medicinska och farmaceutiska grundvetenskaper meta analysis (topic) Meta-analysis methenamine Polymorphism, Single Nucleotide procedures Quality control Rare variants Regulatory sequences Sample size single nucleotide polymorphism South and Central America SRGAP2C gene statistical significance tumor-related gene
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Zusammenfassung:	Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes' coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. In European ancestry samples, 14 genes were significantly associated (q
ISSN:	1756-994X 1756-994X
DOI:	10.1186/s13073-022-01152-5