Work

Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis

Year: 2015

Type: article

Source: Nature Genetics

DOI: 10.1038/ng.3431

Authors: Po-Ru Loh, Gaurav Bhatia, Alexander Gusev, Hilary K Finucane, Brendan K Bulik-Sullivan, Samuela J Pollack, Teresa R de Candia, Sang Hong Lee, Naomi R Wray, Kenneth S Kendler, Michael C O'Donovan, Benjamin M Neale, Nick Patterson, Alkes L Price

Institutions: Broad Institute, Harvard University, Massachusetts Institute of Technology, Massachusetts General Hospital, University of Colorado Boulder, The University of Queensland, University of New England, Virginia Commonwealth University, Cardiff University, Medical Research Council

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Lundbeckfonden, National Institutes of Health, Medical Research Council, National Institute of Mental Health, National Human Genome Research Institute, National Center for Research Resources

Awards: G1138688931, G16286648, G214445032, Leveraging functional data to predict disease risk in multi-ethnic populations, Genomic Psychiatry Cohort, G6680420078, Orchestra: A high performance biomedical supercomputing collaborative, G7894234430, Fast and powerful extensions of mixed model methods for GWAS, Functional and population genetic architectures of complex disease

OpenAlex ID: W2168354474

FWCI: 27.33

Cites: 69

Cited by: 449

Related to: 10