@article{sutton:inserm-03559700, TITLE = {{Leveraging pleiotropic association using sparse group variable selection in genomics data}}, AUTHOR = {Sutton, Matthew and Sugier, Pierre-Emmanuel and Truong, Therese and Liquet, Benoit}, URL = {https://inserm.hal.science/inserm-03559700}, NOTE = {Participants from all studies provided written informed consent and each study was approved by the review board of the French institute of health and medical research (INSERM) and authorized by the French data protection authority (CNIL). Study protocols were approved by the French ethic committees (CNIL, CCPPRB) (reference numbers 05-3144 for CATHY study and 04-53 for CECILE study) and followed the relevant national guidelines.}, JOURNAL = {{BMC Medical Research Methodology}}, PUBLISHER = {{BioMed Central}}, VOLUME = {22}, NUMBER = {1}, PAGES = {9}, YEAR = {2022}, MONTH = Jan, DOI = {10.1186/s12874-021-01491-8}, KEYWORDS = {Genetic epidemiology ; High dimensional data ; Lasso penalization ; Oncology ; Pathway analysis ; Pleiotropy ; Sparse methods ; Variable selection}, PDF = {https://inserm.hal.science/inserm-03559700/file/s12874-021-01491-8.pdf}, HAL_ID = {inserm-03559700}, HAL_VERSION = {v1}, }