全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Huijiang Gao , Lingyang Xu
来源:[J].BMC Genomics(IF 4.397), 2017, Vol.18 (1)Springer
摘要:Fatty acid composition of muscle is an important trait contributing to meat quality. Recently, genome-wide association study (GWAS) has been extensively used to explore the molecular mechanism underlying important traits in cattle. In this study, we performed GWAS using high dens...
作者:Huijiang Gao , George E. Liu
来源:[J].BMC Genomics(IF 4.397), 2019, Vol.20 (1), pp.1-12DOAJ
摘要:Abstract Background Understanding the population structure and genetic bases of well-adapted cattle breeds to local environments is one of the most essential tasks to develop appropriate genetic improvement programs. Results We performed a comprehensive study to investigate the p...
作者:Huijiang Gao , Runqing Yang
来源:[J].Chinese Science Bulletin(IF 1.319), 2006, Vol.51 (15), pp.1857-1862Springer
摘要:Abstract(#br)Many economically important quantitative traits in animals and plants are measured repeatedly over time. These traits are called dynamic traits. Mapping QTL controlling the phenotypic profiles of dynamic traits has become an interesting topic for animal and plant bre...
作者:Huijiang Gao , Bo Zhu ...
来源:[J].PLoS ONE(IF 3.73), 2017, Vol.11 (12)DOAJ
摘要:Carcass traits of beef cattle have been genetically improved to increase yield of high quality meat. Genome-wide association study (GWAS) is a powerful method to identify genetic variants associated with carcass traits. For the 770K genotyped SNPs from 1141 Chinese Simmental catt...
作者:... Junya Li , HongYan Ren , Huijiang Gao
来源:[J].PLoS ONE(IF 3.73), 2017, Vol.9 (10)DOAJ
摘要:Recent advances in high-throughput genotyping technologies have provided the opportunity to map genes using associations between complex traits and markers. Genome-wide association studies (GWAS) based on either a single marker or haplotype have identified genetic variants and un...
作者:... Yan Chen , Junya Li , Huijiang Gao
来源:[J].Livestock Science(IF 1.249), 2018, Vol.212, pp.75-82Elsevier
摘要:Abstract(#br)Over the past decade, genome-wide association studies (GWASs) have successfully identified hundreds of genetic variants associated with economically important production traits in beef cattle. Environmental factors, such as farm, year, and season, have been incl...
作者:... Yan Chen , Junya Li , Huijiang Gao
来源:[J].Livestock Science(IF 1.249), 2018Elsevier
摘要:Abstract(#br)Recent studies have demonstrated that Linear mixed model (LMM) successfully correct for population structure and genetic relatedness in genome-wide association studies (GWAS). However, currently available LMM methods usually suffer from computational inefficiency. He...
作者:Huijiang Gao , Xue Gao ...
来源:[J].Livestock Science(IF 1.249), 2016, Vol.190, pp.1-9Elsevier
摘要:Abstract(#br)With the advance of high-throughput genotyping technologies, it is possible to estimate the pattern of linkage disequilibrium (LD) and haplotype block structure at genome wide level in farm animals. Understanding LD characteristics and haplotype blocks can provide us...

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