ArticleBMC genomics2014
High-resolution association mapping of number of teats in pigs reveals regions controlling vertebral development.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 100 citations in OpenAlex.
- Genome-Wide Association Study Meta-Analysis Elucidates Genetic Structure and Identifies Candidate Genes of Teat Number Traits in Pigs.International journal of molecular sciences · 2023Pooled it
- Genome-Wide Association Study of Rib Number and Total Thoracolumbar Vertebrae Number in a Jishen Black Pig Population.Veterinary sciences · 2026Article
- Article
- Genes and Gene Functions Associated with Morphological, Productive, Reproductive, and Carcass Quality Traits in Pigs: A Functional Bioinformatics Approach.Current issues in molecular biology · 2026Article
- Genomic Analysis of Reproductive Trait Divergence in Duroc and Yorkshire Pigs: A Comparison of Mixed Models and Selective Sweep Detection.Veterinary sciences · 2025Article
- Revealing genes related teat number traits via genetic variation in Yorkshire pigs based on whole-genome sequencing.BMC genomics · 2024Article
- Changes in allele frequencies and genetic architecture due to selection in two pig populations.Genetics, selection, evolution : GSE · 2024Article
- Multiomics analysis reveals signatures of selection and loci associated with complex traits in pigs.iMeta · 2024Article
- Genetic Structure and Genome-Wide Association Analysis of Growth and Reproductive Traits in Fengjing Pigs.Animals : an open access journal from MDPI · 2024Article
- Identification of Signatures of Positive Selection That Have Shaped the Genomic Landscape of South African Pig Populations.Animals : an open access journal from MDPI · 2024Article
- Genome-Wide Association Study Identifies the Crucial Candidate Genes for Teat Number in Crossbred Commercial Pigs.Animals : an open access journal from MDPI · 2023Article
- Insights into the architecture of human-induced polygenic selection in Duroc pigs.Journal of animal science and biotechnology · 2022Article
- Genomic evaluation and genome-wide association studies for total number of teats in a combined American and Danish Yorkshire pig populations selected in China.Journal of animal science · 2022Article
- Genetic aspects of piglet survival and related traits: a review.Journal of animal science · 2022Review
- A study using single-locus and multi-locus genome-wide association study to identify genes associated with teat number in Hu sheep.Animal genetics · 2022Article
- Evaluation of the phenotypic and genomic background of variability based on litter size of Large White pigs.Genetics, selection, evolution : GSE · 2022Article
- Haplotype genomic prediction of phenotypic values based on chromosome distance and gene boundaries using low-coverage sequencing in Duroc pigs.Genetics, selection, evolution : GSE · 2021Article
- Single-marker and haplotype-based genome-wide association studies for the number of teats in two heavy pig breeds.Animal genetics · 2021Article
- Revealing New Candidate Genes for Teat Number Relevant Traits in Duroc Pigs Using Genome-Wide Association Studies.Animals : an open access journal from MDPI · 2021Article
- The Association of an SNP in theAnimals : an open access journal from MDPI · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSelection pressure on the number of teats has been applied to be able to provide enough teats for the increase in litter size in pigs. Although many QTL were reported, they cover large chromosomal regions and the functional mutations and their underlying biological mechanisms have not yet been identified. To gain a better insight in the genetic architecture of the trait number of teats, we performed a genome-wide association study by genotyping 936 Large White pigs using the Illumina PorcineSNP60 Beadchip. The analysis is based on deregressed breeding values to account for the dense family structure and a Bayesian approach for estimation of the SNP effects.
resultsThe genome-wide association study resulted in 212 significant SNPs. In total, 39 QTL regions were defined including 170 SNPs on 13 Sus scrofa chromosomes (SSC) of which 5 regions on SSC7, 9, 10, 12 and 14 were highly significant. All significantly associated regions together explain 9.5% of the genetic variance where a QTL on SSC7 explains the most genetic variance (2.5%). For the five highly significant QTL regions, a search for candidate genes was performed. The most convincing candidate genes were VRTN and Prox2 on SSC7, MPP7, ARMC4, and MKX on SSC10, and vertebrae δ-EF1 on SSC12. All three QTL contain candidate genes which are known to be associated with vertebral development. In the new QTL regions on SSC9 and SSC14, no obvious candidate genes were identified.
conclusionsFive major QTL were found at high resolution on SSC7, 9, 10, 12, and 14 of which the QTL on SSC9 and SSC14 are the first ones to be reported on these chromosomes. The significant SNPs found in this study could be used in selection to increase number of teats in pigs, so that the increasing number of live-born piglets can be nursed by the sow. This study points to common genetic mechanisms regulating number of vertebrae and number of teats.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.