The production performance of pigs has been significantly improved due to 
long-term artificial selection, and the specific variation characterizations 
(selection signatures) emerged from the selected genome regions. Different types 
of breeds are subjected to different selection intensities and had different 
selection signatures. Selective sweep analysis is one of major methods to detect 
the selection signatures. In this study, based on the 60K BeadChip genotyping 
data of both commercial Large White (n=45) and local Tongcheng pigs (n=45), 
genetic differentiation coefficient Fst was applied to detect the selection 
signatures. Using gPLINK software to set quality control standards, a total of 
34 304 SNPs were selected for statistical analysis. Fst values between two 
breeds were estimated with Genepop package and the average Fst value was 0.3209. 
Setting Fst>0.7036 (1% of total number of Fst values) as selection threshold, 
344 SNPs were obtained and SNP location annotation indicated that there were 79 
candidate genes (Sus scrofa Build 9). Furthermore, network analysis was 
performed using Ingenuity Pathway Analysis and the preliminary results suggested 
that most genes were involved in growth, reproduction, and immune response, such 
as NCOA6, ERBB4, RUNX2, and APOB genes. The findings from this study will 
contribute to further identification of candidate genes and causal mutations 
implying for meat production and disease resistance in pig.