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Genetic dissection of blood lipid traits by integrating genome-wide association study and gene expression profiling in a porcine model
BACKGROUND: Serum concentrations of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) are highly heritable traits that are used clinically to evaluate risk for cardiovascular disease in humans. In this study, we a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046658/ https://www.ncbi.nlm.nih.gov/pubmed/24299188 http://dx.doi.org/10.1186/1471-2164-14-848 |
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author | Chen, Congying Yang, Bin Zeng, Zhijun Yang, Hui Liu, Chenlong Ren, Jun Huang, Lusheng |
author_facet | Chen, Congying Yang, Bin Zeng, Zhijun Yang, Hui Liu, Chenlong Ren, Jun Huang, Lusheng |
author_sort | Chen, Congying |
collection | PubMed |
description | BACKGROUND: Serum concentrations of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) are highly heritable traits that are used clinically to evaluate risk for cardiovascular disease in humans. In this study, we applied a genome-wide association study (GWAS) in 1,075 pigs from two populations and gene expression studies on 497 liver samples to dissect the genetic basis of serum lipids in a pig model. RESULTS: We totally identified 8, 5, 2 and 3 genomic loci harboring 109 SNPs that were significantly associated with LDL-C, TC, TG and the ratio of HDL-C/LDL-C in two experimental populations, respectively. In the F(2) population, the most prominent SNP was identified at the SSC3: 124,769,847 bp where APOB is the well-known candidate gene. However, in the Sutai population, the most number of significant SNPs was identified at SSC2: 64.97-82.22 Mb where LDLR was identified as the candidate gene. Furthermore, we firstly reported 4 novel genomic loci in pigs harboring the LDL-C-associated SNPs. We also observed obvious population heterogeneity in the two tested populations. Through whole-genome gene expression analysis, we detected 718 trait-correlated expressions. Many of these transcripts correspond to candidate genes for blood lipids in humans. The GWAS mapped 120 cis-eQTLs and 523 trans-eQTLs for these transcripts. One gene encoding the transcript gnl|UG|Ssc#S35330332 stands out to be an important candidate gene for LDL-C by an integrative analysis of GWAS, eQTL and trait-associated expression. CONCLUSIONS: We identified the genomic regions or candidate genes associated with blood lipids by an integrative analysis of GWAS, QTT and eQTL mapping in pigs. The findings would benefit the further identification of the causative genes for blood lipid traits in both pigs and humans. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-14-848) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4046658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40466582014-06-06 Genetic dissection of blood lipid traits by integrating genome-wide association study and gene expression profiling in a porcine model Chen, Congying Yang, Bin Zeng, Zhijun Yang, Hui Liu, Chenlong Ren, Jun Huang, Lusheng BMC Genomics Research Article BACKGROUND: Serum concentrations of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) are highly heritable traits that are used clinically to evaluate risk for cardiovascular disease in humans. In this study, we applied a genome-wide association study (GWAS) in 1,075 pigs from two populations and gene expression studies on 497 liver samples to dissect the genetic basis of serum lipids in a pig model. RESULTS: We totally identified 8, 5, 2 and 3 genomic loci harboring 109 SNPs that were significantly associated with LDL-C, TC, TG and the ratio of HDL-C/LDL-C in two experimental populations, respectively. In the F(2) population, the most prominent SNP was identified at the SSC3: 124,769,847 bp where APOB is the well-known candidate gene. However, in the Sutai population, the most number of significant SNPs was identified at SSC2: 64.97-82.22 Mb where LDLR was identified as the candidate gene. Furthermore, we firstly reported 4 novel genomic loci in pigs harboring the LDL-C-associated SNPs. We also observed obvious population heterogeneity in the two tested populations. Through whole-genome gene expression analysis, we detected 718 trait-correlated expressions. Many of these transcripts correspond to candidate genes for blood lipids in humans. The GWAS mapped 120 cis-eQTLs and 523 trans-eQTLs for these transcripts. One gene encoding the transcript gnl|UG|Ssc#S35330332 stands out to be an important candidate gene for LDL-C by an integrative analysis of GWAS, eQTL and trait-associated expression. CONCLUSIONS: We identified the genomic regions or candidate genes associated with blood lipids by an integrative analysis of GWAS, QTT and eQTL mapping in pigs. The findings would benefit the further identification of the causative genes for blood lipid traits in both pigs and humans. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-14-848) contains supplementary material, which is available to authorized users. BioMed Central 2013-12-03 /pmc/articles/PMC4046658/ /pubmed/24299188 http://dx.doi.org/10.1186/1471-2164-14-848 Text en © Chen et al.; licensee BioMed Central Ltd. 2013 This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chen, Congying Yang, Bin Zeng, Zhijun Yang, Hui Liu, Chenlong Ren, Jun Huang, Lusheng Genetic dissection of blood lipid traits by integrating genome-wide association study and gene expression profiling in a porcine model |
title | Genetic dissection of blood lipid traits by integrating genome-wide association study and gene expression profiling in a porcine model |
title_full | Genetic dissection of blood lipid traits by integrating genome-wide association study and gene expression profiling in a porcine model |
title_fullStr | Genetic dissection of blood lipid traits by integrating genome-wide association study and gene expression profiling in a porcine model |
title_full_unstemmed | Genetic dissection of blood lipid traits by integrating genome-wide association study and gene expression profiling in a porcine model |
title_short | Genetic dissection of blood lipid traits by integrating genome-wide association study and gene expression profiling in a porcine model |
title_sort | genetic dissection of blood lipid traits by integrating genome-wide association study and gene expression profiling in a porcine model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046658/ https://www.ncbi.nlm.nih.gov/pubmed/24299188 http://dx.doi.org/10.1186/1471-2164-14-848 |
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