A Genome-Wide Association Study of Metabolite Profiles in Human Serum
2008

Genetics Meets Metabolomics: A Study of Metabolite Profiles in Human Serum

Sample size: 284 publication 10 minutes Evidence: high

Author Information

Author(s): Christian Gieger, Ludwig Geistlinger, Elisabeth Altmaier, Martin Hrabé de Angelis, Florian Kronenberg, Thomas Meitinger, Hans-Werner Mewes, H.-Erich Wichmann, Klaus M. Weinberger, Jerzy Adamski, Thomas Illig, Karsten Suhre

Primary Institution: Helmholtz Zentrum München, German Research Center for Environmental Health

Hypothesis

Genetic variants that associate with changes in the homeostasis of key lipids, carbohydrates, or amino acids will display larger effect sizes due to their direct involvement in metabolite conversion.

Conclusion

The study found that common genetic polymorphisms significantly influence the metabolic make-up of individuals, which may lead to personalized health care approaches.

Supporting Evidence

  • Identified four genetic variants in genes coding for enzymes that match the biochemical pathways of metabolite variations.
  • Common genetic polymorphisms were found to induce major differentiations in metabolic profiles.
  • Using metabolite concentration ratios significantly increased the power of association in the study.

Takeaway

Scientists studied how genes affect the levels of different substances in our blood, finding that some genes can change how our bodies process fats and sugars.

Methodology

The study used a genome-wide association approach to analyze the serum concentrations of 363 metabolites in 284 male participants.

Potential Biases

Potential biases may arise from the selection of participants and the focus on a specific age group.

Limitations

The study was limited to male participants aged 55-79, which may not represent the general population.

Participant Demographics

284 male participants aged 55-79 from the KORA study.

Statistical Information

P-Value

p=1.95×10−9

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pgen.1000282

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication