Whole-genome pathway analysis on 132,497 individuals identifies novel gene-sets associated with body mass index.
Whole genome pathway analysis is a powerful tool for the exploration of the combined effects of gene-sets within biological pathways. This study applied Interval Based Enrichment Analysis (INRICH) to perform whole-genome pathway analysis of body-mass index (BMI). We used a discovery set composed of summary statistics from a meta-analysis of 123,865 subjects performed by the GIANT Consortium, and an independent sample of 8,632 subjects to assess replication of significant pathways. We examined SNPs within nominally significant pathways using linear mixed models to estimate their contribution to overall BMI heritability. Six pathways replicated as having significant enrichment for association after correcting for multiple testing, including the previously unknown relationships between BMI and the Reactome regulation of ornithine decarboxylase pathway, the KEGG lysosome pathway, and the Reactome stabilization of P53 pathway. Two non-overlapping sets of genes emerged from the six significant pathways. The clustering of shared genes based on previously identified protein-protein interactions listed in PubMed and OMIM supported the relatively independent biological effects of these two gene-sets. We estimate that the SNPs located in examined pathways explain ∼20% of the heritability for BMI that is tagged by common SNPs (3.35% of the 16.93% total).
Department of Psychology and Neuroscience, Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, United States of America ; Mayo Clinic, Department of Health Sciences, Division of Biomedical Statistics and Informatics, Rochester, Minnesota, United States of America.
Matthew A
MA
Simonson
Department of Integrative Physiology, Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, United States of America.
Matthew B
MB
McQueen
Department of Psychology and Neuroscience, Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, United States of America.
Matthew C
MC
Keller
D000328:Adult; D015992:Body Mass Index; D005260:Female; D053263:Gene Regulatory Networks / Q000235:genetics*; D056726:Genetic Association Studies / Q000379:methods; D015894:Genome, Human / Q000235:genetics*; D006801:Humans; D040582:Inheritance Patterns / Q000235:genetics; D008297:Male; D053858:Metabolic Networks and Pathways / Q000235:genetics*; D008875:Middle Aged; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*