Inference about causation from examination of familial confounding (ICE FALCON): a model for assessing causation analogous to Mendelian randomization | Zendy

Shuai Li | Zendy; Minh Bui | Zendy; John L. Hopper | Zendy

Open Access

Inference about causation from examination of familial confounding (ICE FALCON): a model for assessing causation analogous to Mendelian randomization

Author(s) -

Shuai Li,

Minh Bui,

John L. Hopper

Publication year - 2020

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyaa065

Subject(s) - causation , mendelian randomization , causal inference , confounding , causality (physics) , inference , covariate , mendelian inheritance , causal model , psychology , econometrics , statistics , computer science , genetics , biology , mathematics , artificial intelligence , epistemology , philosophy , physics , quantum mechanics , genetic variants , genotype , gene

We developed a method to make Inference about Causation from Examination of FAmiliaL CONfounding (ICE FALCON) using observational data for related individuals and considering changes in a pair of regression coefficients. ICE FALCON has some similarities to Mendelian randomization (MR) but uses in effect all the familial determinants of the exposure, not just those captured by measured genetic variants, and does not require genetic data nor make strong assumptions. ICE FALCON can assess tracking of a measure over time, an issue often difficult to assess using MR due to lack of a valid instrumental variable.

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