ArticleAsian-Australasian journal of animal sciences2019
Genome analysis of Yucatan miniature pigs to assess their potential as biomedical model animals.
Article in Asian-Australasian journal of animal sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 10 citations in OpenAlex.
- Autologous iPSC- and MSC-derived chondrocyte implants for cartilage repair in a miniature pig model.Stem cell research & therapy · 2025Article
- Genomic variance in Yucatan pigs and detection of donor-derived cell-free DNA after heart transplantation.PloS one · 2025Article
- Omics in mini-livestock: a genomic perspective on the future of sustainable food systems.Frontiers in genetics · 2025Review
- Detecting Selection in Multiple Populations by Modeling Ancestral Admixture Components.Molecular biology and evolution · 2022Article
- Porcine models of acute kidney injury.American journal of physiology. Renal physiology · 2021Article
- Conservation Genomic Analysis of the Croatian Indigenous Black Slavonian and Turopolje Pig Breeds.Frontiers in genetics · 2020Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
objectivePigs share many physiological, anatomical and genomic similarities with humans, which make them suitable models for biomedical researches. Understanding the genetic status of Yucatan miniature pigs (YMPs) and their association with human diseases will help to assess their potential as biomedical model animals. This study was performed to identify non-synonymous single nucleotide polymorphisms (nsSNPs) in selective sweep regions of the genome of YMPs and present the genetic nsSNP distributions that are potentially associated with disease occurrence in humans.
methodsnsSNPs in whole genome resequencing data from 12 YMPs were identified and annotated to predict their possible effects on protein function. Sorting intolerant from tolerant (SIFT) and polymorphism phenotyping v2 analyses were used, and gene ontology (GO) network and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were performed.
resultsThe results showed that 8,462 genes, encompassing 72,067 nsSNPs were identified, and 118 nsSNPs in 46 genes were predicted as deleterious. GO network analysis classified 13 genes into 5 GO terms (p<0.05) that were associated with kidney development and metabolic processes. Seven genes encompassing nsSNPs were classified into the term associated with Alzheimer's disease by referencing the genetic association database. The KEGG pathway analysis identified only one significantly enriched pathway (p<0.05), hsa04080: Neuroactive ligand-receptor interaction, among the transcripts.
conclusionThe number of deleterious nsSNPs in YMPs was identified and then these variants-containing genes in YMPs data were adopted as the putative human diseases-related genes. The results revealed that many genes encompassing nsSNPs in YMPs were related to the various human genes which are potentially associated with kidney development and metabolic processes as well as human disease occurrence.
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