Article

Metabolic predictors of phenotypic traits can replace and complement measured clinical variables in transcriptome-wide association studies

2022-02-02

Abstract excerpt

Transcriptome-wide association studies (TWAS) can provide valuable insights into biological and disease-underlying mechanisms. For studying clinical effects, availability of (confounding) phenotypic traits is essential. The (re)use of RNA-seq or other omics data can be limited by missing, incomplete, or inaccurate phenotypic information. A possible solution are molecular predictors inferring clinical or behavioral...

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Literature Corpus work: 879bd1de-5041-5003-908f-05a4ca2ed910
DOI: 10.1101/2022.02.01.478610

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