Guo Jun
30 Papers
41 Citations
Guo Jun is an academic researcher. The author has contributed to research in topics: Quantitative trait locus & Molecular marker. The author has an hindex of 7, co-authored 30 publications.
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Papers
Genome-wide association study dissects genetic architecture underlying longitudinal egg weights in chickens
Guoqiang Yi,Manman Shen,Jingwei Yuan,Congjiao Sun,Zhongyi Duan,Qu Liang,Dou Taocun,Meng Ma,Jian Lu,Guo Jun,Sirui Chen,Lujiang Qu,Wang Kehua,Ning Yang +13 more
TL;DR: Genome partitioning analysis indicated a strong linear correlation between the variance explained by each chromosome and its length, which provided evidence that EW follows a highly polygenic nature of inheritance.
Genetic architecture of bone quality variation in layer chickens revealed by a genome-wide association study.
TL;DR: A genome-wide association study on bone quality using a sample of 1534 hens genotyped with a 600 K Chicken Genotyping Array finds several strong candidate genes and genomic regions associated with bone traits measured in end-of-lay cage layers.
Genome-wide association study provides insights into the genetic architecture of bone size and mass in chickens.
TL;DR: Genome partitioning analysis indicated that the variance explained by each chromosome was proportional to its length, and four candidate genes identified on chromosome 27 comprising SPOP, NGFR, GIP, and HOXB3 were associated with tibia length and mass, femur length and area, and shank length.
A genome-wide study to identify genes responsible for oviduct development in chickens.
Manman Shen,Qu Liang,Meng Ma,Dou Taocun,Jian Lu,Guo Jun,Hu Yuping,Wang Xingguo,Li Yongfeng,Wang Kehua,Ning Yang +10 more
TL;DR: The results represent the first genome-wide association study to detect genes or genomic regions that are related to oviduct development in a chicken F2 resource population by employing high-density 600 K single-nucleotide polymorphism (SNP) arrays and the genes CKAP2, CCKAR, NCAPG, IGFBP3, and GORAB were shown to have potential roles in ovidUCT development.
Identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study.
Qu Liang,Manman Shen,Guo Jun,Wang Xingguo,Dou Taocun,Hu Yuping,Li Yongfeng,Meng Ma,Wang Kehua,Honglin Liu +9 more
TL;DR: It was found that GGA4 had the strongest effect on albumen quality, and only a few significant loci were detected for most characteristics probably reflecting the attributes of a pleiotropic gene and a minor-polygene in quantitative traits.