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Article

Metabolomic predictors of phenotypic traits can replace and complement measured clinical variables in population-scale expression profiling studies.

BMC genomics - 31 Jul 2022

Niehues Anna, Bizzarri Daniele, Reinders Marcel J T, Slagboom P Eline, van Gool Alain J, van den Akker Erik B, 't Hoen Peter A C

Abstract excerpt

Population-scale expression profiling studies can provide valuable insights into biological and disease-underlying mechanisms. The availability of phenotypic traits is essential for studying clinical effects. Therefore, missing, incomplete, or inaccurate phenotypic information can make analyses challenging and prevent RNA-seq or other omics data to be reused. A possible solution are predictors that infer clinical...

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PMID: 35907790
DOI: 10.1186/s12864-022-08771-7
PMCID: PMC9339202

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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