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A critical appraisal of pharmacogenetic inference
Author(s) -
Smit R.A.J.,
Noordam R.,
le Cessie S.,
Trompet S.,
Jukema J.W.
Publication year - 2018
Publication title -
clinical genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.543
H-Index - 102
eISSN - 1399-0004
pISSN - 0009-9163
DOI - 10.1111/cge.13178
Subject(s) - pharmacogenetics , inference , interpretation (philosophy) , critical appraisal , set (abstract data type) , drug response , computer science , computational biology , psychology , medicine , management science , cognitive psychology , drug , biology , pharmacology , gene , artificial intelligence , genetics , alternative medicine , genotype , pathology , economics , programming language
In essence, pharmacogenetic research is aimed at discovering variants of importance to gene‐treatment interaction. However, epidemiological studies are rarely set up with this goal in mind. It is therefore of great importance that researchers clearly communicate which assumptions they have had to make, and which inherent limitations apply to the interpretation of their results. This review discusses considerations of, and the underlying assumptions for, utilizing different response phenotypes and study designs popular in pharmacogenetic research to infer gene‐treatment interaction effects, with a special focus on those dealing with of clinical effects of drug treatment.