ArticleGenetics, selection, evolution : GSE2017
Genome-wide detection of genetic markers associated with growth and fatness in four pig populations using four approaches.
Article in Genetics, selection, evolution : GSE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.
- A meta-analysis of genome-wide association studies revealed significant QTL and candidate genes for loin muscle area in three breeding pigs.Scientific reports · 2025Pooled it
- Meta-analysis of genome-wide association studies for loin muscle area and loin muscle depth in two Duroc pig populations.PloS one · 2019Pooled it
- Eicosanoid-immunometabotypes reveal genotypic links to cervicovaginal pH in progestagen synchronised South African Dohne Merino ewes.Frontiers in veterinary science · 2026Article
- Genome-wide detection of superior haplotypes for seed oil and protein content in Northeast China soybean (Frontiers in plant science · 2026Article
- Whole genome sequence analysis ofiScience · 2025Article
- Article
- Statistical Analysis of Reproductive Traits in Jinwu Pig and Identification of Genome-Wide Association Loci.Genes · 2025Article
- Novel genomic variants related to visceral adiposity index (VAI) and body adiposity index (BAI) in Indian sib-pairs.International journal of obesity (2005) · 2024Article
- Genotyping-by-Sequencing Analysis Reveals Associations between Agronomic and Oil Traits in Gamma Ray-Derived Mutant Rapeseed (Plants (Basel, Switzerland) · 2024Article
- Genomic prediction and genome-wide association studies of morphological traits and distraction index in Korean Sapsaree dogs.PloS one · 2024Article
- Unravelling the genetic variability of host resilience to endo- and ectoparasites in Nellore commercial herds.Genetics, selection, evolution : GSE · 2023Article
- Article
- Genome-Wide Association Studies for Body Conformation Traits in Korean Holstein Population.Animals : an open access journal from MDPI · 2023Article
- Genetic dissection of 26 meat cut, meat quality and carcass traits in four pig populations.Genetics, selection, evolution : GSE · 2023Article
- A Genome-Wide Association Study of Protein, Oil, and Amino Acid Content in Wild Soybean (Plants (Basel, Switzerland) · 2023Article
- Genome-wide association study reveals genetic loci and candidate genes for meat quality traits in a four-way crossbred pig population.Frontiers in genetics · 2023Article
- Effect of structural variation in the promoter region ofFrontiers in plant science · 2023Article
- Article
- Article
- Weighted Single-Step Genomic Best Linear Unbiased Prediction Method Application for Assessing Pigs on Meat Productivity and Reproduction Traits.Animals : an open access journal from MDPI · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenome-wide association studies (GWAS) have been extensively used to identify genomic regions associated with a variety of phenotypic traits in pigs. Until now, most GWAS have explored single-trait association models. Here, we conducted both single- and multi-trait GWAS and a meta-analysis for nine fatness and growth traits on 2004 pigs from four diverse populations, including a White Duroc × Erhualian F
resultsWe identified 44 chromosomal regions that were associated with the nine traits, including four genome-wide significant single nucleotide polymorphisms (SNPs) on SSC2 (SSC for Sus scrofa chromosome), 4, 7 and X. Compared to the single-population GWAS, the meta-analysis was less powerful for the identification of SNPs with population-specific effects but more powerful for the detection of SNPs with population-shared effects. Multiple-trait analysis reduced the power to detect trait-specific SNPs but significantly enhanced the power to identify common SNPs across traits. The SNP on SSC7 had pleiotropic effects on the nine traits in the F
conclusionsWe demonstrate that the multi-trait method and the meta-analysis on multiple populations can be used to increase the power of GWAS. The two significant SNPs on SSC7 and X had pleiotropic effects in the F
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