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Article

Genetic instrumental variable regression: Explaining socioeconomic and health outcomes in nonexperimental data.

Proceedings of the National Academy of Sciences of the United States of America - 29 May 2018

DiPrete Thomas A, Burik Casper A P, Koellinger Philipp D

Abstract excerpt

Identifying causal effects in nonexperimental data is an enduring challenge. One proposed solution that recently gained popularity is the idea to use genes as instrumental variables [i.e., Mendelian randomization (MR)]. However, this approach is problematic because many variables of interest are genetically correlated, which implies the possibility that many genes could affect both the exposure and the outcome...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 29686100
DOI: 10.1073/pnas.1707388115
PMCID: PMC5984483

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