Partitioning heritability by functional annotation using genome-wide association summary statistics
Year: 2015
Type: article
Source: Nature Genetics
DOI: 10.1038/ng.3404
Authors: Hilary K Finucane, Brendan Bulik-Sullivan, Alexander Gusev, Gosia Trynka, Yakir Reshef, Po-Ru Loh, Verneri Anttila, Han Xu, Chongzhi Zang, Kyle Farh, Stephan Ripke, Felix R Day, Shaun Purcell, Eli Stahl, Sara Lindstrom, John R B Perry, Yukinori Okada, Soumya Raychaudhuri, Mark J Daly, Nick Patterson, Benjamin M Neale, Alkes L Price
Institutions: Harvard University, Massachusetts Institute of Technology, Broad Institute, Massachusetts General Hospital, Stanley Center for Psychiatric Research, Brigham and Women's Hospital, Wellcome Sanger Institute, Dana-Farber Cancer Institute, University of Cambridge, MRC Epidemiology Unit, Icahn School of Medicine at Mount Sinai, Tokyo Medical and Dental University, RIKEN Center for Integrative Medical Sciences, University of Manchester
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Funders: Arthritis Foundation, Hertz Foundation, Wellcome Trust, Lundbeckfonden, National Institutes of Health, Medical Research Council, Japan Society for the Promotion of Science, National Institute of Mental Health, National Human Genome Research Institute, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Arthritis and Musculoskeletal and Skin Diseases
Awards: Defining the influence of RA genetic susceptibility factors on T cell antigen specificity and functional state, Fine-mapping heritability at known disease loci with correlated markers, The genetic architecture of breast cancer risk factors and breast cancer, G214445032, Medical Scientist Training Program, Prioritizing follow-up of GWAS loci using genetic and functional annotation data, G4612446324, Leveraging functional data to predict disease risk in multi-ethnic populations, G5517677352, G6308906652, G6908939375, Identification of biomarkers of autoimmune diseases using HLA imputation, The genetics of weight, BMI, adiposity and obesity, Functional and population genetic architectures of complex disease, Training Grant in Genetics, G932915660
OpenAlex ID: W1844405070