Covariate selection for association screening in multiphenotype genetic studies
Year: 2017
Type: article
Source: Nature Genetics
DOI: 10.1038/ng.3975
Institutions: Harvard University, Institut Pasteur, Aarhus University, Brigham and Women's Hospital, Hôpital Necker-Enfants Malades, Inserm, Institut Necker Enfants Malades, Université Paris Descartes, University of California, San Francisco, Dana-Farber Cancer Institute, Dana-Farber/Harvard Cancer Center
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Funders: National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Human Genome Research Institute, National Cancer Institute, National Institute of Allergy and Infectious Diseases, National Institute of Environmental Health Sciences, National Institute of Dental and Craniofacial Research
Awards: G1872204287, Richer Models of Asthma Risk: Bridging the Environment-Genetics Divide, G208141779, G2455188558, G315517791, G3802806692, Leveraging functional data to predict disease risk in multi-ethnic populations, G4765065348, G5587613537, Big Data Analysis of HIV Risk and Epidemiology in Sub-Saharan Africa, Altered metabolism and machine learning for pancreatic cancer early detection
OpenAlex ID: W2767053787