scholarly journals FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data

NeuroImage ◽  
2015 ◽  
Vol 118 ◽  
pp. 613-627 ◽  
Author(s):  
Meiyan Huang ◽  
Thomas Nichols ◽  
Chao Huang ◽  
Yang Yu ◽  
Zhaohua Lu ◽  
...  
Author(s):  
Rongrong Ding ◽  
Zhanwei Zhuang ◽  
Yibin Qiu ◽  
Donglin Ruan ◽  
Jie Wu ◽  
...  

Abstract Backfat thickness (BFT) is complex and economically important traits in the pig industry, since it reflects fat deposition and can be used to measure the carcass lean meat percentage in pigs. In this study, all 6,550 pigs were genotyped using the Geneseek Porcine 50K SNP Chip to identify SNPs related to BFT and to search for candidate genes through genome-wide association analysis in two Duroc populations. In total, 80 SNPs, including 39 significant and 41 suggestive SNPs, and 6 QTLs were identified significantly associated with the BFT. In addition, 9 candidate genes, including a proven major gene MC4R, 3 important candidate genes (RYR1, HMGA1 and NUDT3) which were previously described as related to BFT, and 5 novel candidate genes (SIRT2, NKAIN2, AMH, SORCS1 and SORCS3) were found based on their potential functional roles in BFT. The functions of candidate genes and gene set enrichment analysis indicate that most important pathways are related to energy homeostasis and adipogenesis. Finally, our data suggests that most of the candidate genes can be directly used for genetic improvement through molecular markers, except that the MC4R gene has an antagonistic effect on growth rate and carcass lean meat percentage in breeding. Our results will advance our understanding of the complex genetic architecture of BFT traits, and laid the foundation for additional genetic studies to increase carcass lean meat percentage of pig through marker-assisted selection and/or genomic selection.


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