Metabolomics platforms for genome wide association studies-linking the genome to the metabolome

Jerzy Adamski, Karsten Suhre

Research output: Contribution to journalReview article

52 Citations (Scopus)

Abstract

Genome-wide association studies (GWAS) reveal links between genetic variance and predisposition to disease. With the advent of modern 'omics-technologies', GWAS can now identify the genetic factors that influence intermediate traits on pathways to disease, such as blood concentrations of carbohydrates, lipids, amino acids, and secondary metabolites, hormones and signal molecules. At the example of recent GWAS with metabolic traits (mGWAS) we review the high-throughput screening approaches that are available to further advance the field.

Original languageEnglish
Pages (from-to)39-47
Number of pages9
JournalCurrent Opinion in Biotechnology
Volume24
Issue number1
DOIs
Publication statusPublished - Feb 2013
Externally publishedYes

Fingerprint

Metabolomics
Metabolome
Genome-Wide Association Study
Genes
Genome
Imino Acids
Hormones
Genetic Predisposition to Disease
Carbohydrates
Metabolites
Lipids
Amino acids
Screening
Blood
Throughput
Technology
Molecules

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Biomedical Engineering

Cite this

Metabolomics platforms for genome wide association studies-linking the genome to the metabolome. / Adamski, Jerzy; Suhre, Karsten.

In: Current Opinion in Biotechnology, Vol. 24, No. 1, 02.2013, p. 39-47.

Research output: Contribution to journalReview article

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