Biochemical insights from population studies with genetics and metabolomics

Karsten Suhre, Johannes Raffler, Gabi Kastenmüller

Research output: Contribution to journalReview article

24 Citations (Scopus)

Abstract

Genome-wide association studies with concentrations of hundreds of small molecules in samples collected from thousands of individuals (mGWAS) access otherwise inaccessible natural genetic experiments and their influence on the metabolic capacities of the human body. By sampling the natural metabolic and genetic variability that is present in the general population, mGWAS identified over 150 associations between genetic variants and variation in the metabolic composition of human body fluids. Many of these genetic variants were found to be located in enzyme or transporter coding genes, whose functions match the biochemical nature of the associated metabolites. Associations identified by mGWAS can reveal novel biochemical knowledge, such as the function of uncharacterized genes, the biochemical identity of small molecules, and the structure of entire biochemical pathways. Here we review findings of recent mGWAS and discuss concrete examples of how their results can be interpreted in a biochemical context. We describe online resources that are available for mining mGWAS results. In this context, we present two concepts that also find more general applications in the field of metabolomics: strengthening of associations by looking at ratios between metabolite pairs and reconstruction of metabolic pathways by Gaussian graphical modeling.

Original languageEnglish
Pages (from-to)168-176
Number of pages9
JournalArchives of Biochemistry and Biophysics
Volume589
DOIs
Publication statusPublished - 1 Jan 2016
Externally publishedYes

Fingerprint

Metabolomics
Human Body
Genes
Metabolites
Genome-Wide Association Study
Body Fluids
Metabolic Networks and Pathways
Population
Molecules
Body fluids
Enzymes
Association reactions
Sampling
Chemical analysis
Genetics
Experiments

Keywords

  • Genetic variation
  • Genome-wide association study
  • Metabolic individuality
  • Metabolomics
  • Partial correlation

ASJC Scopus subject areas

  • Biophysics
  • Biochemistry
  • Molecular Biology

Cite this

Biochemical insights from population studies with genetics and metabolomics. / Suhre, Karsten; Raffler, Johannes; Kastenmüller, Gabi.

In: Archives of Biochemistry and Biophysics, Vol. 589, 01.01.2016, p. 168-176.

Research output: Contribution to journalReview article

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