Genome-wide association study identifies positional candidate genes affecting back fat thickness trait in pigsGenome-wide association study identifies positional candidate genes affecting back fat thickness trait in pigs
- Other Titles
- Genome-wide association study identifies positional candidate genes affecting back fat thickness trait in pigs
- Authors
- 이재봉; 강호찬; 김은호; 김윤주; 유채경; 최태정; 임현태
- Issue Date
- 2018
- Publisher
- 충남대학교 농업과학연구소
- Keywords
- back fat thickness; GWAS; positional candidate gene; purebred Yorkshire
- Citation
- Korean Journal of Agricultural Science, v.45, no.4, pp 707 - 713
- Pages
- 7
- Indexed
- KCI
- Journal Title
- Korean Journal of Agricultural Science
- Volume
- 45
- Number
- 4
- Start Page
- 707
- End Page
- 713
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/12922
- DOI
- 10.7744/kjoas.20180055
- ISSN
- 2466-2402
2466-2410
- Abstract
- This study was done to search for positional candidate genes associated with the back fat thickness trait using a Genome-Wide Association Study (GWAS) in purebred Yorkshires (N = 1755). Genotype and phenotype analyses were done for 1,642 samples. As a result of the associations with back fat thickness using the Gemma program (ver. 0.93), when the genome-wide suggestive threshold was determined using the Bonferroni method (p = 1.61 × 10-5), the single nucleotide polymorphism (SNP) markers with suggestive significance were identified in 1 SNP marker on chromosome 2 (MARC0053928; p = 3.65 × 10-6), 2 SNP markers on chromosome 14 (ALGA0083078; p = 7.85 × 10-6, INRA0048453; p = 1.27 × 10-5), and 1 SNP marker on chromosome 18 (ALGA0120564; p = 1.44 × 10-5). We could select positional candidate genes (KCNQ1, DOCK1, LOC106506151, and LOC110257583), located close to the SNP markers. Among these, we identified a potassium voltage-gated channel subfamily Q member gene (KCNQ1) and the dedicator of cytokinesis 1 (DOCK1) gene associated with obesity and Type-2 diabetes. The SNPs and haplotypes of the KCNQ1 and DOCK1 genes can contribute to understanding the genetic structure of back fat thickness. Additionally, it may provide basic data regarding marker assisted selection for a meat quality trait in pigs.
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