ArticleBMC genetics2014
Genome-wide association and systems genetic analyses of residual feed intake, daily feed consumption, backfat and weight gain in pigs.
Article in BMC genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
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Who cites it
65 citing papers in PubMed, 114 citations in OpenAlex.
- Bayesian Genome-Wide Association Study of Feed Efficiency Traits in Pigs.Animals : an open access journal from MDPI · 2026Article
- Single-variant genome-wide association study and regional heritability mapping of protein efficiency and performance traits in Large White pigs.Genetics, selection, evolution : GSE · 2025Article
- Metabolomics Profiling of Serum and Urine from Chuanzang Black Pigs with Different Residual Feed Intake.Animals : an open access journal from MDPI · 2024Article
- Genes involved in the cholecystokinin receptor signaling map were differentially expressed in the jejunum of steers with variation in residual feed intake.Veterinary and animal science · 2024Article
- Genomic evidence for human-mediated introgressive hybridization and selection in the developed breed.BMC genomics · 2024Article
- The influence of host genotype and gut microbial interactions on feed efficiency traits in pigs.Frontiers in microbiology · 2024Article
- Identification of gut microbes associated with feed efficiency by daily-phase feeding strategy in growing-finishing pigs.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2023Article
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- Genome-Wide Association Studies Revealed Significant QTLs and Candidate Genes Associated with Backfat and Loin Muscle Area in Pigs Using Imputation-Based Whole Genome Sequencing Data.Animals : an open access journal from MDPI · 2022Article
- Genome-Wide Association Analysis and Genetic Parameters for Feed Efficiency and Related Traits in Yorkshire and Duroc Pigs.Animals : an open access journal from MDPI · 2022Article
- Review
- Polymorphisms inFrontiers in veterinary science · 2022Article
- Application of Genetic, Genomic and Biological Pathways in Improvement of Swine Feed Efficiency.Frontiers in genetics · 2022Review
- Fine Mapping of a Major Backfat QTL Reveals a Causal Regulatory Variant Affecting theFrontiers in genetics · 2022Article
- Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle.Metabolites · 2021Review
- Identification of genomic regions affecting production traits in pigs divergently selected for feed efficiency.Genetics, selection, evolution : GSE · 2021Article
- Genome-wide association and transcriptome studies identify candidate genes and pathways for feed conversion ratio in pigs.BMC genomics · 2021Article
- Exploring the genetic architecture of feed efficiency traits in chickens.Scientific reports · 2021Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFeed efficiency is one of the major components determining costs of animal production. Residual feed intake (RFI) is defined as the difference between the observed and the expected feed intake given a certain production. Residual feed intake 1 (RFI1) was calculated based on regression of individual daily feed intake (DFI) on initial test weight and average daily gain. Residual feed intake 2 (RFI2) was as RFI1 except it was also regressed with respect to backfat (BF). It has been shown to be a sensitive and accurate measure for feed efficiency in livestock but knowledge of the genomic regions and mechanisms affecting RFI in pigs is lacking. The study aimed to identify genetic markers and candidate genes for RFI and its component traits as well as pathways associated with RFI in Danish Duroc boars by genome-wide associations and systems genetic analyses.
resultsPhenotypic and genotypic records (using the Illumina Porcine SNP60 BeadChip) were available on 1,272 boars. Fifteen and 12 loci were significantly associated (p < 1.52 × 10-6) with RFI1 and RFI2, respectively. Among them, 10 SNPs were significantly associated with both RFI1 and RFI2 implying the existence of common mechanisms controlling the two RFI measures. Significant QTL regions for component traits of RFI (DFI and BF) were detected on pig chromosome (SSC) 1 (for DFI) and 2 for (BF). The SNPs within MAP3K5 and PEX7 on SSC 1, ENSSSCG00000022338 on SSC 9, and DSCAM on SSC 13 might be interesting markers for both RFI measures. Functional annotation of genes in 0.5 Mb size flanking significant SNPs indicated regulation of protein and lipid metabolic process, gap junction, inositol phosphate metabolism and insulin signaling pathway are significant biological processes and pathways for RFI, respectively.
conclusionsThe study detected novel genetic variants and QTLs on SSC 1, 8, 9, 13 and 18 for RFI and indicated significant biological processes and metabolic pathways involved in RFI. The study also detected novel QTLs for component traits of RFI. These results improve our knowledge of the genetic architecture and potential biological pathways underlying RFI; which would be useful for further investigations of key candidate genes for RFI and for development of biomarkers.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.