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Identification of the genetic basis of sow pelvic organ prolapse
Introduction: Pelvic organ prolapse (POP) is one contributor to recent increases in sow mortality that have been observed in some populations and environments, leading to financial losses and welfare concerns. Methods: With inconsistent previous reports, the objective here was to investigate the rol...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151575/ https://www.ncbi.nlm.nih.gov/pubmed/37144137 http://dx.doi.org/10.3389/fgene.2023.1154713 |
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author | Bhatia, Vishesh Stevens, Tomas Derks, Martijn F. L. Dunkelberger, Jenelle Knol, Egbert F. Ross, Jason W. Dekkers, Jack C. M. |
author_facet | Bhatia, Vishesh Stevens, Tomas Derks, Martijn F. L. Dunkelberger, Jenelle Knol, Egbert F. Ross, Jason W. Dekkers, Jack C. M. |
author_sort | Bhatia, Vishesh |
collection | PubMed |
description | Introduction: Pelvic organ prolapse (POP) is one contributor to recent increases in sow mortality that have been observed in some populations and environments, leading to financial losses and welfare concerns. Methods: With inconsistent previous reports, the objective here was to investigate the role of genetics on susceptibility to POP, using data on 30,429 purebred sows, of which 14,186 were genotyped (25K), collected from 2012 to 2022 in two US multiplier farms with a high POP incidence of 7.1% among culled and dead sows and ranging from 2% to 4% of all sows present by parity. Given the low incidence of POP for parities 1 and >6, only data from parities 2 to 6 were retained for analyses. Genetic analyses were conducted both across parities, using cull data (culled for POP versus another reason), and by parity, using farrowing data. (culled for POP versus culled for another reason or not culled). Results and Discussion: Estimates of heritability from univariate logit models on the underlying scale were 0.35 [Formula: see text] 0.02 for the across-parity analysis and ranged from 0.41 [Formula: see text] 0.03 in parity 2 to 0.15 [Formula: see text] 0.07 in parity 6 for the by-parity analyses. Estimates of genetic correlations of POP between parities based on bivariate linear models indicated a similar genetic basis of POP across parities but less similar with increasing distance between parities. Genome wide association analyses revealed six 1 Mb windows that explained more than 1% of the genetic variance in the across-parity data. Most regions were confirmed in several by-parity analyses. Functional analyses of the identified genomic regions showed a potential role of several genes on chromosomes 1, 3, 7, 10, 12, and 14 in susceptibility to POP, including the Estrogen Receptor gene. Gene set enrichment analyses showed that genomic regions that explained more variation for POP were enriched for several terms from custom transcriptome and gene ontology libraries. Conclusion: The influence of genetics on susceptibility to POP in this population and environment was confirmed and several candidate genes and biological processes were identified that can be targeted to better understand and mitigate the incidence of POP. |
format | Online Article Text |
id | pubmed-10151575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101515752023-05-03 Identification of the genetic basis of sow pelvic organ prolapse Bhatia, Vishesh Stevens, Tomas Derks, Martijn F. L. Dunkelberger, Jenelle Knol, Egbert F. Ross, Jason W. Dekkers, Jack C. M. Front Genet Genetics Introduction: Pelvic organ prolapse (POP) is one contributor to recent increases in sow mortality that have been observed in some populations and environments, leading to financial losses and welfare concerns. Methods: With inconsistent previous reports, the objective here was to investigate the role of genetics on susceptibility to POP, using data on 30,429 purebred sows, of which 14,186 were genotyped (25K), collected from 2012 to 2022 in two US multiplier farms with a high POP incidence of 7.1% among culled and dead sows and ranging from 2% to 4% of all sows present by parity. Given the low incidence of POP for parities 1 and >6, only data from parities 2 to 6 were retained for analyses. Genetic analyses were conducted both across parities, using cull data (culled for POP versus another reason), and by parity, using farrowing data. (culled for POP versus culled for another reason or not culled). Results and Discussion: Estimates of heritability from univariate logit models on the underlying scale were 0.35 [Formula: see text] 0.02 for the across-parity analysis and ranged from 0.41 [Formula: see text] 0.03 in parity 2 to 0.15 [Formula: see text] 0.07 in parity 6 for the by-parity analyses. Estimates of genetic correlations of POP between parities based on bivariate linear models indicated a similar genetic basis of POP across parities but less similar with increasing distance between parities. Genome wide association analyses revealed six 1 Mb windows that explained more than 1% of the genetic variance in the across-parity data. Most regions were confirmed in several by-parity analyses. Functional analyses of the identified genomic regions showed a potential role of several genes on chromosomes 1, 3, 7, 10, 12, and 14 in susceptibility to POP, including the Estrogen Receptor gene. Gene set enrichment analyses showed that genomic regions that explained more variation for POP were enriched for several terms from custom transcriptome and gene ontology libraries. Conclusion: The influence of genetics on susceptibility to POP in this population and environment was confirmed and several candidate genes and biological processes were identified that can be targeted to better understand and mitigate the incidence of POP. Frontiers Media S.A. 2023-04-18 /pmc/articles/PMC10151575/ /pubmed/37144137 http://dx.doi.org/10.3389/fgene.2023.1154713 Text en Copyright © 2023 Bhatia, Stevens, Derks, Dunkelberger, Knol, Ross and Dekkers. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Bhatia, Vishesh Stevens, Tomas Derks, Martijn F. L. Dunkelberger, Jenelle Knol, Egbert F. Ross, Jason W. Dekkers, Jack C. M. Identification of the genetic basis of sow pelvic organ prolapse |
title | Identification of the genetic basis of sow pelvic organ prolapse |
title_full | Identification of the genetic basis of sow pelvic organ prolapse |
title_fullStr | Identification of the genetic basis of sow pelvic organ prolapse |
title_full_unstemmed | Identification of the genetic basis of sow pelvic organ prolapse |
title_short | Identification of the genetic basis of sow pelvic organ prolapse |
title_sort | identification of the genetic basis of sow pelvic organ prolapse |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151575/ https://www.ncbi.nlm.nih.gov/pubmed/37144137 http://dx.doi.org/10.3389/fgene.2023.1154713 |
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