ArticleGenetics, selection, evolution : GSE2015
Genome-wide association study using deregressed breeding values for cryptorchidism and scrotal/inguinal hernia in two pig lines.
Article in Genetics, selection, evolution : GSE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 37 citations in OpenAlex.
- Genetic Inheritance and the Impact of Low Birth Weight on the Incidence of Cryptorchidism in Hyperprolific Sows.Animals : an open access journal from MDPI · 2025Article
- Genome-wide transcriptome analysis reveals differentially expressed genes and key signalling pathways associated with cryptorchidism in pigs.Scientific reports · 2025Article
- Altered Transcript Levels ofGenes · 2023Article
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- Genetic aspects of piglet survival and related traits: a review.Journal of animal science · 2022Review
- Genome-wide associations for immune traits in two maternal pig lines.BMC genomics · 2021Article
- Identification of new semen trait-related candidate genes in Duroc boars through genome-wide association and weighted gene co-expression network analyses.Journal of animal science · 2021Article
- Genome-wide association and transcriptome studies identify candidate genes and pathways for feed conversion ratio in pigs.BMC genomics · 2021Article
- Article
- Genome-Wide Association Study Identifies New Candidate Markers for Somatic Cells Score in a Local Dairy Sheep.Frontiers in genetics · 2021Article
- Genetic and genomic characterization of vulva size traits in Yorkshire and Landrace gilts.BMC genetics · 2020Article
- Inguinal Ring RNA Sequencing Reveals Downregulation of Muscular Genes Related to Scrotal Hernia in Pigs.Genes · 2020Article
- Transcriptome analysis identifies genes involved with the development of umbilical hernias in pigs.PloS one · 2020Article
- Rediscover and Refine QTLs for Pig Scrotal Hernia by Increasing a Specially Designed FFrontiers in genetics · 2019Article
- Effects of alleles in crossbred pigs estimated for genomic prediction depend on their breed-of-origin.BMC genomics · 2018Article
- Genome-wide association study reveals a QTL and strong candidate genes for umbilical hernia in pigs on SSC14.BMC genomics · 2018Article
- Identification of endogenous normalizing genes for expression studies in inguinal ring tissue for scrotal hernias in pigs.PloS one · 2018Article
- Diaphragmatic Hernia of the Stomach with Gastric Rupture in a Domestic Pig.Comparative medicine · 2016Article
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6 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundCryptorchidism and scrotal/inguinal hernia are the most frequent congenital defects in pigs. Identification of genomic regions that control these congenital defects is of great interest to breeding programs, both from an animal welfare point of view as well as for economic reasons. The aim of this genome-wide association study (GWAS) was to identify single nucleotide polymorphisms (SNPs) that are strongly associated with these congenital defects. Genotypes were available for 2570 Large White (LW) and 2272 Landrace (LR) pigs. Breeding values were estimated based on 1 359 765 purebred and crossbred male offspring, using a binary trait animal model. Estimated breeding values were deregressed (DEBV) and taken as the response variable in the GWAS.
resultsHeritability estimates were equal to 0.26 ± 0.02 for cryptorchidism and to 0.31 ± 0.01 for scrotal/inguinal hernia. Seven and 31 distinct QTL regions were associated with cryptorchidism in the LW and LR datasets, respectively. The top SNP per region explained between 0.96% and 1.10% and between 0.48% and 2.77% of the total variance of cryptorchidism incidence in the LW and LR populations, respectively. Five distinct QTL regions associated with scrotal/inguinal hernia were detected in both LW and LR datasets. The top SNP per region explained between 1.22% and 1.60% and between 1.15% and 1.46% of the total variance of scrotal/inguinal hernia incidence in the LW and LR populations, respectively. For each trait, we identified one overlapping region between the LW and LR datasets, i.e. a region on SSC8 (Sus scrofa chromosome) between 65 and 73 Mb for cryptorchidism and a region on SSC13 between 34 and 37 Mb for scrotal/inguinal hernia.
conclusionsThe use of DEBV in combination with a binary trait model was a powerful approach to detect regions associated with difficult traits such as cryptorchidism and scrotal/inguinal hernia that have a low incidence and for which affected animals are generally not available for genotyping. Several novel QTL regions were detected for cryptorchidism and scrotal/inguinal hernia, and for several previously known QTL regions, the confidence interval was narrowed down.
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