The related SNPs and genes to body size using GWAS- latent variable modeling in dromedaries
Abstract Camels are increasingly recognized for their potential to meet future nutritional and medical needs due to their unique qualities. This study aims to advance our understanding of the genetic basis of body size in dromedaries by employing confirmatory factor analysis (CFA) and genome-wide as...
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BMC
2025-07-01
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| Series: | BMC Genomics |
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| Online Access: | https://doi.org/10.1186/s12864-025-11766-9 |
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| author | Morteza Bitaraf Sani Morteza Mokhtari Zahra Roudbari Omid Karimi Nader Asadzadeh Faisal Almathen Mohammad Hossein Banabazi |
| author_facet | Morteza Bitaraf Sani Morteza Mokhtari Zahra Roudbari Omid Karimi Nader Asadzadeh Faisal Almathen Mohammad Hossein Banabazi |
| author_sort | Morteza Bitaraf Sani |
| collection | DOAJ |
| description | Abstract Camels are increasingly recognized for their potential to meet future nutritional and medical needs due to their unique qualities. This study aims to advance our understanding of the genetic basis of body size in dromedaries by employing confirmatory factor analysis (CFA) and genome-wide association studies (GWAS). We used phenotypic data from 9 body measurements of 96 Iranian male camels to develop a latent variable model for body size. The CFA model demonstrated excellent fit (CFI = 0.99, TLI = 0.99, RMSEA = 0.05, SRMR = 0.02), confirming that the selected biometric traits effectively capture the body size latent variable. Subsequent GWAS, utilizing 14,522 SNPs, identified 13 significant SNPs associated with body size across several chromosomes. The candidate genes linked to these SNPs, including UBE3D, REPS1, SLC4A1AP, EFR3B, PRR11, and VMP1, were further examined through Gene Ontology (GO) enrichment analysis, revealing their involvement in crucial biological processes such as catabolic and metabolic activities, developmental processes, and protein and lipid transport. These findings provide valuable insights into the genetic mechanisms underpinning body size in dromedaries, offering a foundation for future research and potential applications in breeding and genetic improvement strategies. |
| format | Article |
| id | doaj-art-0620fa39bf94465099b2bf43d4a2bc25 |
| institution | Kabale University |
| issn | 1471-2164 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Genomics |
| spelling | doaj-art-0620fa39bf94465099b2bf43d4a2bc252025-08-20T04:01:47ZengBMCBMC Genomics1471-21642025-07-012611810.1186/s12864-025-11766-9The related SNPs and genes to body size using GWAS- latent variable modeling in dromedariesMorteza Bitaraf Sani0Morteza Mokhtari1Zahra Roudbari2Omid Karimi3Nader Asadzadeh4Faisal Almathen5Mohammad Hossein Banabazi6Animal Science Research Department, Yazd Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & Extension Organization (AREEO)Department of Animal Science, Faculty of Agriculture, University of JiroftDepartment of Animal Science, Faculty of Agriculture, University of JiroftDepartment of Animal Viral Diseases Research, Agricultural Research, Education and Extension Organization, Razi Vaccine and Serum Research InstituteAgricultural Research, Education and Extension Organization (AREEO), Animal Science Research Institute of IranDepartment of Veterinary Public Health and Animal Husbandry, College of Veterinary Medicine and Animal Resources, King Faisal UniversityAgricultural Research, Education and Extension Organization (AREEO), Animal Science Research Institute of IranAbstract Camels are increasingly recognized for their potential to meet future nutritional and medical needs due to their unique qualities. This study aims to advance our understanding of the genetic basis of body size in dromedaries by employing confirmatory factor analysis (CFA) and genome-wide association studies (GWAS). We used phenotypic data from 9 body measurements of 96 Iranian male camels to develop a latent variable model for body size. The CFA model demonstrated excellent fit (CFI = 0.99, TLI = 0.99, RMSEA = 0.05, SRMR = 0.02), confirming that the selected biometric traits effectively capture the body size latent variable. Subsequent GWAS, utilizing 14,522 SNPs, identified 13 significant SNPs associated with body size across several chromosomes. The candidate genes linked to these SNPs, including UBE3D, REPS1, SLC4A1AP, EFR3B, PRR11, and VMP1, were further examined through Gene Ontology (GO) enrichment analysis, revealing their involvement in crucial biological processes such as catabolic and metabolic activities, developmental processes, and protein and lipid transport. These findings provide valuable insights into the genetic mechanisms underpinning body size in dromedaries, offering a foundation for future research and potential applications in breeding and genetic improvement strategies.https://doi.org/10.1186/s12864-025-11766-9Body measurementsCandidate genesFactor analysisStructural equation model |
| spellingShingle | Morteza Bitaraf Sani Morteza Mokhtari Zahra Roudbari Omid Karimi Nader Asadzadeh Faisal Almathen Mohammad Hossein Banabazi The related SNPs and genes to body size using GWAS- latent variable modeling in dromedaries BMC Genomics Body measurements Candidate genes Factor analysis Structural equation model |
| title | The related SNPs and genes to body size using GWAS- latent variable modeling in dromedaries |
| title_full | The related SNPs and genes to body size using GWAS- latent variable modeling in dromedaries |
| title_fullStr | The related SNPs and genes to body size using GWAS- latent variable modeling in dromedaries |
| title_full_unstemmed | The related SNPs and genes to body size using GWAS- latent variable modeling in dromedaries |
| title_short | The related SNPs and genes to body size using GWAS- latent variable modeling in dromedaries |
| title_sort | related snps and genes to body size using gwas latent variable modeling in dromedaries |
| topic | Body measurements Candidate genes Factor analysis Structural equation model |
| url | https://doi.org/10.1186/s12864-025-11766-9 |
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