Gene-metabolite annotation with shortest reactional distance enhances metabolite genome-wide association studies results.

ABSTRACT: Studies combining metabolomics and genetics, known as metabolite genome-wide association studies (mGWAS), have provided valuable insights into our understanding of the genetic control of metabolite levels. However, the biological interpretation of these associations remains challenging due to a lack of existing tools to annotate mGWAS gene-metabolite pairs beyond the use of conservative statistical significance threshold. Here, we computed the shortest reactional distance (SRD) based on the curated knowledge of the KEGG database to explore its utility in enhancing the biological interpretation of results from three independent mGWAS, including a case study on sickle cell disease patients. Results show that, in reported mGWAS pairs, there is an excess of small SRD values and that SRD values

SUBMITTER: Baron C 

PROVIDER: S-EPMC10055409 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature