A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry

Autor: Pooja Middha, Xiaoliang Wang, Sabine Behrens, Manjeet K. Bolla, Qin Wang, Joe Dennis, Kyriaki Michailidou, Thomas U. Ahearn, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Kristan J. Aronson, Paul L. Auer, Annelie Augustinsson, Thaïs Baert, Laura E. Beane Freeman, Heiko Becher, Matthias W. Beckmann, Javier Benitez, Stig E. Bojesen, Hiltrud Brauch, Hermann Brenner, Angela Brooks-Wilson, Daniele Campa, Federico Canzian, Angel Carracedo, Jose E. Castelao, Stephen J. Chanock, Georgia Chenevix-Trench, CTS Consortium, Emilie Cordina-Duverger, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Laure Dossus, Pierre-Antoine Dugué, A. Heather Eliassen, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Jonine D. Figueroa, Olivia Fletcher, Henrik Flyger, Marike Gabrielson, Manuela Gago-Dominguez, Graham G. Giles, Anna González-Neira, Felix Grassmann, Anne Grundy, Pascal Guénel, Christopher A. Haiman, Niclas Håkansson, Per Hall, Ute Hamann, Susan E. Hankinson, Elaine F. Harkness, Bernd Holleczek, Reiner Hoppe, John L. Hopper, Richard S. Houlston, Anthony Howell, David J. Hunter, Christian Ingvar, ABCTB Investigators, kConFab Investigators, Karolin Isaksson, Helena Jernström, Esther M. John, Michael E. Jones, Rudolf Kaaks, Renske Keeman, Cari M. Kitahara, Yon-Dschun Ko, Stella Koutros, Allison W. Kurian, James V. Lacey, Diether Lambrechts, Nicole L. Larson, Susanna Larsson, Loic Le Marchand, Flavio Lejbkowicz, Shuai Li, Martha Linet, Jolanta Lissowska, Maria Elena Martinez, Tabea Maurer, Anna Marie Mulligan, Claire Mulot, Rachel A. Murphy, William G. Newman, Sune F. Nielsen, Børge G. Nordestgaard, Aaron Norman, Katie M. O’Brien, Janet E. Olson, Alpa V. Patel, Ross Prentice, Erika Rees-Punia, Gad Rennert, Valerie Rhenius, Kathryn J. Ruddy, Dale P. Sandler, Christopher G. Scott, Mitul Shah, Xiao-Ou Shu, Ann Smeets, Melissa C. Southey, Jennifer Stone, Rulla M. Tamimi, Jack A. Taylor, Lauren R. Teras, Katarzyna Tomczyk, Melissa A. Troester, Thérèse Truong, Celine M. Vachon, Sophia S. Wang, Clarice R. Weinberg, Hans Wildiers, Walter Willett, Stacey J. Winham, Alicja Wolk, Xiaohong R. Yang, M. Pilar Zamora, Wei Zheng, Argyrios Ziogas, Alison M. Dunning, Paul D. P. Pharoah, Montserrat García-Closas, Marjanka K. Schmidt, Peter Kraft, Roger L. Milne, Sara Lindström, Douglas F. Easton, Jenny Chang-Claude

Publikováno v: Breast Cancer Research, Vol 25, Iss 1, Pp 1-13 (2023)

Abstract Background Genome-wide studies of gene–environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million comm

Externí odkaz: https://doaj.org/article/6c79833d7bd146bb9546b870710a3333

Deletion of the CYP2D6 gene as a likely explanation for the serious side effects of the antipsychotic drug pimozide: a case report

Autor: Fernando Facal, Begoña Portela, Almudena Gil-Rodríguez, Francisco Barros, Olalla Maroñas, Angel Carracedo

Publikováno v: Frontiers in Pharmacology, Vol 14 (2023)

CYP2D6 analysis prior to the prescription of pimozide is required above a certain dose by the Food and Drug Administration in order to detect individuals with the poor metabolizer status. This precautionary measure aims to prevent the occurrence of s

Externí odkaz: https://doaj.org/article/e7ee8cff804547eea41d6079e9909d04

UTMOST, a single and cross-tissue TWAS (Transcriptome Wide Association Study), reveals new ASD (Autism Spectrum Disorder) associated genes

Autor: Cristina Rodriguez-Fontenla, Angel Carracedo

Publikováno v: Translational Psychiatry, Vol 11, Iss 1, Pp 1-11 (2021)

Abstract Autism spectrum disorders (ASD) is a complex neurodevelopmental disorder that may significantly impact on the affected individual’s life. Common variation (SNPs) could explain about 50% of ASD heritability. Despite this fact and the large

Externí odkaz: https://doaj.org/article/24a892f4550a4c47b19bffb24d40c420

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients

Autor: María Tubío-Fungueiriño, Eva Cernadas, Óscar F. Gonçalves, Cinto Segalas, Sara Bertolín, Lorea Mar-Barrutia, Eva Real, Manuel Fernández-Delgado, Jose M. Menchón, Sandra Carvalho, Pino Alonso, Angel Carracedo, Montse Fernández-Prieto

Publikováno v: Frontiers in Neuroinformatics, Vol 16 (2022)

BackgroundMachine learning modeling can provide valuable support in different areas of mental health, because it enables to make rapid predictions and therefore support the decision making, based on valuable data. However, few studies have applied th

Externí odkaz: https://doaj.org/article/2177b6c01b15457d8f53ac51e7ed4bb4

Gene-based analysis of ADHD using PASCAL: a biological insight into the novel associated genes

Autor: Aitana Alonso-Gonzalez, Manuel Calaza, Cristina Rodriguez-Fontenla, Angel Carracedo

Publikováno v: BMC Medical Genomics, Vol 12, Iss 1, Pp 1-12 (2019)

Abstract Background Attention-Deficit Hyperactivity Disorder (ADHD) is a complex neurodevelopmental disorder (NDD) which may significantly impact on the affected individual’s life. ADHD is acknowledged to have a high heritability component (70–80

Externí odkaz: https://doaj.org/article/4cc8faac685f41588b4b3cb38743d476