Genome-Wide Association Study of Body Conformation Traits in a Three-Way Crossbred Commercial Pig Population Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3390/ani13152414
Body conformation is the most direct production index, which can fully reflect pig growth status and is closely related to critical economic traits. In this study, we conducted a genome-wide association study (GWAS) on body conformation traits in a population of 1518 Duroc × (Landrace × Yorkshire) commercial pigs. These traits included body length (BL), body height (BH), chest circumference (CC), abdominal circumference (AC), and waist circumference (WC). Both the mixed linear model (MLM) and fixed and random model circulating probability unification (FarmCPU) approaches were employed for the analysis. Our findings revealed 60 significant single nucleotide polymorphisms (SNPs) associated with these body conformation traits in the crossbred pig population. Specifically, sixteen SNPs were significantly associated with BL, three SNPs with BH, thirteen SNPs with CC, twelve SNPs with AC, and sixteen SNPs with WC. Moreover, we identified several promising candidate genes located within the genomic regions associated with body conformation traits. These candidate genes include INTS10, KIRREL3, SOX21, BMP2, MAP4K3, SOD3, FAM160B1, ATL2, SPRED2, SEC16B, and RASAL2. Furthermore, our analysis revealed a novel significant quantitative trait locus (QTL) on SSC7 specifically associated with waist circumference, spanning an 84 kb interval. Overall, the identification of these significant SNPs and potential candidate genes in crossbred commercial pigs enhances our understanding of the genetic basis underlying body conformation traits. Additionally, these findings provide valuable genetic resources for pig breeding programs.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ani13152414
- https://www.mdpi.com/2076-2615/13/15/2414/pdf?version=1690361781
- OA Status
- gold
- Cited By
- 7
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385308351
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4385308351Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ani13152414Digital Object Identifier
- Title
-
Genome-Wide Association Study of Body Conformation Traits in a Three-Way Crossbred Commercial Pig PopulationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-07-26Full publication date if available
- Authors
-
Shaoxiong Deng, Yibin Qiu, Zhanwei Zhuang, Jie Wu, Xuehua Li, Donglin Ruan, Cineng Xu, Enqing Zheng, Ming Yang, Gengyuan Cai, Jie Yang, Zhenfang Wu, Sixiu HuangList of authors in order
- Landing page
-
https://doi.org/10.3390/ani13152414Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-2615/13/15/2414/pdf?version=1690361781Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2076-2615/13/15/2414/pdf?version=1690361781Direct OA link when available
- Concepts
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Single-nucleotide polymorphism, Biology, Genome-wide association study, Quantitative trait locus, Candidate gene, Genetics, Crossbreed, Waist, Population, Circumference, Genetic association, Gene, Body mass index, Genotype, Medicine, Endocrinology, Mathematics, Geometry, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 3Per-year citation counts (last 5 years)
- References (count)
-
61Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(SNPs) | 97 |
| abstract_inverted_index.SOX21, | 157 |
| abstract_inverted_index.direct | 5 |
| abstract_inverted_index.growth | 13 |
| abstract_inverted_index.height | 56 |
| abstract_inverted_index.index, | 7 |
| abstract_inverted_index.length | 53 |
| abstract_inverted_index.linear | 71 |
| abstract_inverted_index.random | 77 |
| abstract_inverted_index.single | 94 |
| abstract_inverted_index.status | 14 |
| abstract_inverted_index.study, | 25 |
| abstract_inverted_index.traits | 36, 50, 103 |
| abstract_inverted_index.twelve | 125 |
| abstract_inverted_index.within | 142 |
| abstract_inverted_index.INTS10, | 155 |
| abstract_inverted_index.MAP4K3, | 159 |
| abstract_inverted_index.RASAL2. | 166 |
| abstract_inverted_index.SEC16B, | 164 |
| abstract_inverted_index.SPRED2, | 163 |
| abstract_inverted_index.closely | 17 |
| abstract_inverted_index.genetic | 210, 221 |
| abstract_inverted_index.genomic | 144 |
| abstract_inverted_index.include | 154 |
| abstract_inverted_index.located | 141 |
| abstract_inverted_index.provide | 219 |
| abstract_inverted_index.reflect | 11 |
| abstract_inverted_index.regions | 145 |
| abstract_inverted_index.related | 18 |
| abstract_inverted_index.several | 137 |
| abstract_inverted_index.sixteen | 110, 130 |
| abstract_inverted_index.traits. | 22, 150, 215 |
| abstract_inverted_index.KIRREL3, | 156 |
| abstract_inverted_index.Overall, | 190 |
| abstract_inverted_index.analysis | 169 |
| abstract_inverted_index.breeding | 225 |
| abstract_inverted_index.critical | 20 |
| abstract_inverted_index.economic | 21 |
| abstract_inverted_index.employed | 85 |
| abstract_inverted_index.enhances | 205 |
| abstract_inverted_index.findings | 90, 218 |
| abstract_inverted_index.included | 51 |
| abstract_inverted_index.revealed | 91, 170 |
| abstract_inverted_index.spanning | 185 |
| abstract_inverted_index.thirteen | 121 |
| abstract_inverted_index.valuable | 220 |
| abstract_inverted_index.(FarmCPU) | 82 |
| abstract_inverted_index.(Landrace | 44 |
| abstract_inverted_index.FAM160B1, | 161 |
| abstract_inverted_index.Moreover, | 134 |
| abstract_inverted_index.abdominal | 61 |
| abstract_inverted_index.analysis. | 88 |
| abstract_inverted_index.candidate | 139, 152, 199 |
| abstract_inverted_index.conducted | 27 |
| abstract_inverted_index.crossbred | 106, 202 |
| abstract_inverted_index.interval. | 189 |
| abstract_inverted_index.potential | 198 |
| abstract_inverted_index.programs. | 226 |
| abstract_inverted_index.promising | 138 |
| abstract_inverted_index.resources | 222 |
| abstract_inverted_index.Yorkshire) | 46 |
| abstract_inverted_index.approaches | 83 |
| abstract_inverted_index.associated | 98, 114, 146, 181 |
| abstract_inverted_index.commercial | 47, 203 |
| abstract_inverted_index.identified | 136 |
| abstract_inverted_index.nucleotide | 95 |
| abstract_inverted_index.population | 39 |
| abstract_inverted_index.production | 6 |
| abstract_inverted_index.underlying | 212 |
| abstract_inverted_index.association | 30 |
| abstract_inverted_index.circulating | 79 |
| abstract_inverted_index.genome-wide | 29 |
| abstract_inverted_index.population. | 108 |
| abstract_inverted_index.probability | 80 |
| abstract_inverted_index.significant | 93, 173, 195 |
| abstract_inverted_index.unification | 81 |
| abstract_inverted_index.Furthermore, | 167 |
| abstract_inverted_index.conformation | 1, 35, 102, 149, 214 |
| abstract_inverted_index.quantitative | 174 |
| abstract_inverted_index.specifically | 180 |
| abstract_inverted_index.Additionally, | 216 |
| abstract_inverted_index.Specifically, | 109 |
| abstract_inverted_index.circumference | 59, 62, 66 |
| abstract_inverted_index.polymorphisms | 96 |
| abstract_inverted_index.significantly | 113 |
| abstract_inverted_index.understanding | 207 |
| abstract_inverted_index.circumference, | 184 |
| abstract_inverted_index.identification | 192 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 13 |
| citation_normalized_percentile.value | 0.89790422 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |