A systems genetics study of swine illustrates mechanisms underlying human phenotypic traits

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Abstract

Background: The 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. Results: We 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. Conclusion: Our 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.

Figures

  • Figure 1 Comparison of pig and human genetic architecture of anemia related traits such as mean corpuscular hemoglobin (MCH). a) Pig SNP association result for MCH. There is a strong QTL at chromosome 8 along with 11 other significant QTLs. The black line represents a p-value threshold 4.85 × 10−6, corresponding to FDR = 0.05. b). Both pig genome wide association candidates (blue nodes) and human GWAS candidate (red nodes) for MCH are in a liver subnetwork that involves in lipid metabolism. Hepcidin (HAMP, yellow node) is a sensor for iron and inflammation. The subnetwork provides a molecular link between anemia and lipid metabolism.
  • Figure 2 Genome-wide association result for the limb bone length. a chromosomes 4 and 7 affect the limb bone length. b) Subnetworks of heig network. c) Subnetworks of genes at the chromosome 4 locus in the human OMIM gene subnetwork that overlaps with the PLAG1 subnetwork. Red node to the chromosome 4 locus. Purple nodes are nodes in the OMIM gene subn
  • Figure 3 Schematic diagram of the mechanism for regulating rib number. a) The genome-wide association result shows that there are two significant loci on chromosomes 1 and 7 for rib number. b) The protein-protein interaction network around genes mapped to the chromosomes 1 and 7 loci (yellow nodes). The DAB2-DAB2IP and TGFB3 subnetworks overlap and are enriched for genes (red nodes) in the Wnt signaling pathway (fold enrichment = 20, Fisher’s Exact Test p-value= 9.99 × 10−16, EASE score = 2.1 × 10−14). c) Schematic graph showing somite formation (adapted from [47]). Vertebrae form during somitogenesis. The Wnt signaling pathway is critical for maintaining and stopping clock oscillation. d) Hypothetically, the chromosome 1 and 7 loci affect the number of ribs through an interaction between DAB2IP-DAB2-TGFB3 and the Wnt signaling pathway.
  • Figure 4 Genome-wide association result for rib number conditioning on the genotypes at TGFB3 and DAB2IP loci. There is a significant locus at SSC7:60.8 Mb (p-value= 9.8 × 10−6). The p-value for the interaction between this locus (SSC7:60.8 Mb) and the TGFB3 locus (SSC7:107.3 Mb) is 0.02.

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APA

Zhu, J., Chen, C., Yang, B., Guo, Y., Ai, H., Ren, J., … Huang, L. (2015). A systems genetics study of swine illustrates mechanisms underlying human phenotypic traits. BMC Genomics, 16(1). https://doi.org/10.1186/s12864-015-1240-y

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