Work

Using genetic data to strengthen causal inference in observational research

Year: 2018

Type: review

Source: Nature Reviews Genetics

DOI: 10.1038/s41576-018-0020-3

Authors: Jean-Baptiste Pingault, Paul F. O’Reilly, Tabea Schoeler, George B. Ploubidis, Frühling Rijsdijk, Frank Dudbridge

Institutions: King's College London, University College London, University of Leicester

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: MQ: Transforming Mental Health, Medical Research Council, Economic and Social Research Council

Awards: Centre for Longitudinal Studies, Resource Centre 2015-20, HSM Polygenic score methodology in the emerging field of Polygenic Epidemiology, Cross-Cohort Research programme: employment, health and wellbeing, G6413291808

OpenAlex ID: W2806899908

FWCI: 4.645

Cites: 137

Cited by: 434

Related to: 10