title: Integrative pathway analysis of a genome-wide association study of (V)O(2max) response to exercise training.
abstract: We previously reported the findings from a genome-wide association study of the response of maximal oxygen uptake (Vo2max) to an exercise program. Here we follow up on these results to generate hypotheses on genes, pathways, and systems involved in the ability to respond to exercise training. A systems biology approach can help us better establish a comprehensive physiological description of what underlies Vo2maxtrainability. The primary material for this exploration was the individual single-nucleotide polymorphism (SNP), SNP-gene mapping, and statistical significance levels. We aimed to generate novel hypotheses through analyses that go beyond statistical association of single-locus markers. This was accomplished through three complementary approaches: 1) building de novo evidence of gene candidacy through informatics-driven literature mining; 2) aggregating evidence from statistical associations to link variant enrichment in biological pathways to Vo2max trainability; and 3) predicting possible consequences of variants residing in the pathways of interest. We started with candidate gene prioritization followed by pathway analysis focused on overrepresentation analysis and gene set enrichment analysis. Subsequently, leads were followed using in silico analysis of predicted SNP functions. Pathways related to cellular energetics (pantothenate and CoA biosynthesis; PPAR signaling) and immune functions (complement and coagulation cascades) had the highest levels of SNP burden. In particular, long-chain fatty acid transport and fatty acid oxidation genes and sequence variants were found to influence differences in Vo2max trainability. Together, these methods allow for the hypothesis-driven ranking and prioritization of genes and pathways for future experimental testing and validation.
authors.affiliation: Laboratory of Computational Biology, Pennington Biomedical Research Center, Baton Rouge, Louisiana;
authors.forename: Sujoy
authors.initials: S
authors.lastname: Ghosh
authors.forename: Juan C
authors.initials: JC
authors.lastname: Vivar
authors.forename: Mark A
authors.initials: MA
authors.lastname: Sarzynski
authors.forename: Yun Ju
authors.initials: YJ
authors.lastname: Sung
authors.forename: James A
authors.initials: JA
authors.lastname: Timmons
authors.forename: Claude
authors.initials: C
authors.lastname: Bouchard
authors.forename: Tuomo
authors.initials: T
authors.lastname: Rankinen
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015444:Exercise / Q000502:physiology*; D005260:Female; D055106:Genome-Wide Association Study / Q000379:methods; D006801:Humans; D008297:Male; D010101:Oxygen Consumption / Q000235:genetics* / Q000502:physiology*; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D055815:Young Adult
keywords: bioinformatics; endurance training; genotypes; pathway analysis; single-nucleotide polymorphisms