ArticlePloS one2013
Epistatic effects on abdominal fat content in chickens: results from a genome-wide SNP-SNP interaction analysis.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- Application potential of chicken DNA chip in domestic pigeon species - Preliminary results.Saudi journal of biological sciences · 2023Article
- Detecting genetic epistasis by differential departure from independence.Molecular genetics and genomics : MGG · 2022Article
- Transcriptome landscapes of differentially expressed genes related to fat deposits in Nandan-Yao chicken.Functional & integrative genomics · 2021Article
- A complex network of additive and epistatic quantitative trait loci underlies natural variation of Arabidopsis thaliana quantitative disease resistance to Ralstonia solanacearum under heat stress.Molecular plant pathology · 2020Article
- Haplotype-based genome-wide association studies for carcass and growth traits in chicken.Poultry science · 2020Article
- A time-dependent genome-wide SNP-SNP interaction analysis of chicken body weight.BMC genomics · 2019Article
- Genomic Insights Into the Multiple Factors Controlling Abdominal Fat Deposition in a Chicken Model.Frontiers in genetics · 2018Review
- Identification of genome-wide SNP-SNP interactions associated with important traits in chicken.BMC genomics · 2017Article
- Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We performed a pairwise epistatic interaction test using the chicken 60 K single nucleotide polymorphism (SNP) chip for the 11(th) generation of the Northeast Agricultural University broiler lines divergently selected for abdominal fat content. A linear mixed model was used to test two dimensions of SNP interactions affecting abdominal fat weight. With a threshold of P<1.2×10(-11) by a Bonferroni 5% correction, 52 pairs of SNPs were detected, comprising 45 pairs showing an Additive×Additive and seven pairs showing an Additive×Dominance epistatic effect. The contribution rates of significant epistatic interactive SNPs ranged from 0.62% to 1.54%, with 47 pairs contributing more than 1%. The SNP-SNP network affecting abdominal fat weight constructed using the significant SNP pairs was analyzed, estimated and annotated. On the basis of the network's features, SNPs Gga_rs14303341 and Gga_rs14988623 at the center of the subnet should be important nodes, and an interaction between GGAZ and GGA8 was suggested. Twenty-two quantitative trait loci, 97 genes (including nine non-coding genes), and 50 pathways were annotated on the epistatic interactive SNP-SNP network. The results of the present study provide insights into the genetic architecture underlying broiler chicken abdominal fat weight.
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