학술논문

A systems genetics study of swine illustrates mechanisms underlying human phenotypic traits
Document Type
article
Source
BMC Genomics. 16(1)
Subject
Biological Sciences
Genetics
Human Genome
Pediatric Research Initiative
Aetiology
2.1 Biological and endogenous factors
Generic health relevance
Anemia
Animals
Body Height
Chromosome Mapping
Genome
Human
Genome-Wide Association Study
Genotype
Humans
Liver
Mice
Phenotype
Quantitative Trait Loci
Swine
Transforming Growth Factor beta3
ras GTPase-Activating Proteins
Systems genetics
Swine model
Complex human traits
Information and Computing Sciences
Medical and Health Sciences
Bioinformatics
Biological sciences
Biomedical and clinical sciences
Language
Abstract
BackgroundThe pig, which shares greater similarities with human than with mouse, is important for agriculture and for studying human diseases. However, similarities in the genetic architecture and molecular regulations underlying phenotypic variations in humans and swine have not been systematically assessed.ResultsWe systematically surveyed ~500 F2 pigs genetically and phenotypically. By comparing candidates for anemia traits identified in swine genome-wide SNP association and human genome-wide association studies (GWAS), we showed that both sets of candidates are related to the biological process "cellular lipid metabolism" in liver. Human height is a complex heritable trait; by integrating genome-wide SNP data and human adipose Bayesian causal network, which closely represents bone transcriptional regulations, we identified PLAG1 as a causal gene for limb bone length. This finding is consistent with GWAS findings for human height and supports the common genetic architecture between swine and humans. By leveraging a human protein-protein interaction network, we identified two putative candidate causal genes TGFB3 and DAB2IP and the known regulators MESP1 and MESP2 as responsible for the variation in rib number and identified the potential underlying molecular mechanisms. In mice, knockout of Tgfb3 and Tgfb2 together decreases rib number.ConclusionOur findings show that integrative network analyses reveal causal regulators underlying the genetic association of complex traits in swine and that these causal regulators have similar effects in humans. Thus, swine are a potentially good animal model for studying some complex human traits that are not under intense selection.