Work

Quantifying genetic effects on disease mediated by assayed gene expression levels

Year: 2020

Type: article

Source: Nature Genetics

DOI: 10.1038/s41588-020-0625-2

Authors: Douglas W. Yao, Luke J. O’Connor, Alkes L. Price, Alexander Gusev

Institutions: Harvard University, Broad Institute, Brigham and Women's Hospital, Dana-Farber Cancer Institute

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: U.S. Department of Health and Human Services, National Institutes of Health, National Institute of Mental Health, National Human Genome Research Institute, National Cancer Institute

Awards: G1021745955, G1142176991, Statistical methods to localize disease heritability and identify biological mechanisms, G223491490, (PQ3) A functional genomic approach to identification and interpretation of germline-tumor genetic interactions, G3177290858, G4320204098, Leveraging functional data to predict disease risk in multi-ethnic populations, G4851063117, Functionally specialized components of disease heritability in ENCODE data, G71293308, Training in Bioinformatics and Integrative Genomics, Functional and population genetic architectures of complex disease, Integrating case-control transcriptomic and genetic data in admixed individuals to identify disease genes for schizophrenia and bipolar disorder

OpenAlex ID: W3025047014

FWCI: 22.25

Cites: 110

Cited by: 300

Related to: 10