ArticleBMC genomics2015
A systems genetics study of swine illustrates mechanisms underlying human phenotypic traits.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Deciphering the Enigma of Calcific Aortic Valve Disease: The Pivotal Role of Animal Models in Unraveling Pathogenesis and Advancing Therapeutic Strategies.Biomedicines · 2025Review
- Detection of the Candidate Genes of Economically Important Traits in Dorper Sheep Through Whole-Genome Resequencing.Veterinary sciences · 2025Article
- Combined Genome-Wide Association Study and Haplotype Analysis Identifies Candidate Genes Affecting Growth Traits of Inner Mongolian Cashmere Goats.Veterinary sciences · 2024Article
- Genome-Wide Association Study Identifies the Crucial Candidate Genes for Teat Number in Crossbred Commercial Pigs.Animals : an open access journal from MDPI · 2023Article
- Genetic architecture and selection of Anhui autochthonous pig population revealed by whole genome resequencing.Frontiers in genetics · 2022Article
- Conservation Genomic Analysis of the Croatian Indigenous Black Slavonian and Turopolje Pig Breeds.Frontiers in genetics · 2020Article
- Identification of Signatures of Selection by Whole-Genome Resequencing of a Chinese Native Pig.Frontiers in genetics · 2020Article
- Proinflammatory Effects of IL-1β Combined with IL-17A Promoted Cartilage Degradation and Suppressed Genes Associated with Cartilage Matrix Synthesis In Vitro.Molecules (Basel, Switzerland) · 2019Article
- Quantification of allelic differential expression using a simple Fluorescence primer PCR-RFLP-based method.Scientific reports · 2019Article
- Article
- Comprehensive transcriptional landscape of porcine cardiac and skeletal muscles reveals differences of aging.Oncotarget · 2018Article
- A GWA study reveals genetic loci for body conformation traits in Chinese Laiwu pigs and its implications for human BMI.Mammalian genome : official journal of the International Mammalian Genome Society · 2016Article
- The genetics of bone mass and susceptibility to bone diseases.Nature reviews. Rheumatology · 2016Review
- Single- and Bayesian Multi-Marker Genome-Wide Association for Haematological Parameters in Pigs.PloS one · 2016Article
Corrections and comments
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Authors and funding
12 authors.
Funding
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.
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