Work

Genomic prediction of depression risk and resilience under stress

Year: 2019

Type: article

Study design: Observational Study

Source: Nature Human Behaviour

DOI: 10.1038/s41562-019-0759-3

Authors: Yu Fang, Laura Scott, Peter Song, Margit Burmeister, Srijan Sen

Institution: University of Michigan

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, American Foundation for Suicide Prevention, National Institutes of Health, National Institute of Mental Health

Awards: G26748748, Mobile Technology to Identify Behavioral Mechanisms Linking Genetic Variation and Depression, G6332037739

OpenAlex ID: W2981752943

FWCI: 2.566

Cites: 41

Cited by: 43

Related to: 10