Ghafouri F, Bahrami A, Sadeghi M, Miraei-Ashtiani S, Bakherad M, Barkema H
Front Genet. 2021; 12:646297.
PMID: 34306005
PMC: 8292821.
DOI: 10.3389/fgene.2021.646297.
Chen G, Chen J, Wu J, Ren X, Li L, Lu S
Front Genet. 2021; 11:610605.
PMID: 33519913
PMC: 7841439.
DOI: 10.3389/fgene.2020.610605.
Cahyadi M, Park H, Seo D, Jin S, Choi N, Heo K
Asian-Australas J Anim Sci. 2020; 33(11):1755-1762.
PMID: 32106653
PMC: 7649070.
DOI: 10.5713/ajas.19.0541.
Abdalla B, Chen J, Nie Q, Zhang X
Front Genet. 2018; 9:262.
PMID: 30073018
PMC: 6060281.
DOI: 10.3389/fgene.2018.00262.
Moreira G, Boschiero C, Cesar A, Reecy J, Godoy T, Trevisoli P
BMC Genomics. 2018; 19(1):374.
PMID: 29783939
PMC: 5963092.
DOI: 10.1186/s12864-018-4779-6.
Deciphering mechanisms underlying the genetic variation of general production and liver quality traits in the overfed mule duck by pQTL analyses.
Francois Y, Vignal A, Molette C, Marty-Gasset N, Davail S, Liaubet L
Genet Sel Evol. 2017; 49(1):38.
PMID: 28424047
PMC: 5396126.
DOI: 10.1186/s12711-017-0313-6.
Transcriptome Analysis Reveals Regulation of Gene Expression for Lipid Catabolism in Young Broilers by Butyrate Glycerides.
Yin F, Yu H, Lepp D, Shi X, Yang X, Hu J
PLoS One. 2016; 11(8):e0160751.
PMID: 27508934
PMC: 4979964.
DOI: 10.1371/journal.pone.0160751.
RNA-Seq Analysis of Abdominal Fat in Genetically Fat and Lean Chickens Highlights a Divergence in Expression of Genes Controlling Adiposity, Hemostasis, and Lipid Metabolism.
Resnyk C, Chen C, Huang H, Wu C, Simon J, Le Bihan-Duval E
PLoS One. 2015; 10(10):e0139549.
PMID: 26445145
PMC: 4596860.
DOI: 10.1371/journal.pone.0139549.
Combined QTL and selective sweep mappings with coding SNP annotation and cis-eQTL analysis revealed PARK2 and JAG2 as new candidate genes for adiposity regulation.
Roux P, Boitard S, Blum Y, Parks B, Montagner A, Mouisel E
G3 (Bethesda). 2015; 5(4):517-29.
PMID: 25653314
PMC: 4390568.
DOI: 10.1534/g3.115.016865.
Re-sequencing data for refining candidate genes and polymorphisms in QTL regions affecting adiposity in chicken.
Roux P, Boutin M, Desert C, Djari A, Esquerre D, Klopp C
PLoS One. 2014; 9(10):e111299.
PMID: 25333370
PMC: 4205046.
DOI: 10.1371/journal.pone.0111299.
Expression of Potential Regulatory Genes in Abdominal Adipose Tissue of Broiler Chickens during Early Development.
Bohannon-Stewart A, Kelley G, Kimathi B, Subramanya S, Donkor J, Darris C
Genet Res Int. 2014; 2014:318304.
PMID: 24551454
PMC: 3914478.
DOI: 10.1155/2014/318304.
Genome-wide interval mapping using SNPs identifies new QTL for growth, body composition and several physiological variables in an F2 intercross between fat and lean chicken lines.
Demeure O, Duclos M, Bacciu N, Le Mignon G, Filangi O, Pitel F
Genet Sel Evol. 2013; 45:36.
PMID: 24079476
PMC: 3851061.
DOI: 10.1186/1297-9686-45-36.
Transcriptional analysis of abdominal fat in genetically fat and lean chickens reveals adipokines, lipogenic genes and a link between hemostasis and leanness.
Resnyk C, Carre W, Wang X, Porter T, Simon J, Le Bihan-Duval E
BMC Genomics. 2013; 14:557.
PMID: 23947536
PMC: 3765218.
DOI: 10.1186/1471-2164-14-557.
A genome-wide scan of selective sweeps in two broiler chicken lines divergently selected for abdominal fat content.
Zhang H, Wang S, Wang Z, Da Y, Wang N, Hu X
BMC Genomics. 2012; 13:704.
PMID: 23241142
PMC: 3557156.
DOI: 10.1186/1471-2164-13-704.
A genome-wide association study identifies two novel promising candidate genes affecting Escherichia coli F4ab/F4ac susceptibility in swine.
Fu W, Liu Y, Lu X, Niu X, Ding X, Liu J
PLoS One. 2012; 7(3):e32127.
PMID: 22457712
PMC: 3311625.
DOI: 10.1371/journal.pone.0032127.
Genome-wide association study identified a narrow chromosome 1 region associated with chicken growth traits.
Xie L, Luo C, Zhang C, Zhang R, Tang J, Nie Q
PLoS One. 2012; 7(2):e30910.
PMID: 22359555
PMC: 3281030.
DOI: 10.1371/journal.pone.0030910.
Genetic parameters for body weight, carcass chemical composition and yield in a broiler-layer cross developed for QTL mapping.
Nunes B, Ramos S, Savegnago R, Ledur M, Nones K, Klein C
Genet Mol Biol. 2011; 34(3):429-34.
PMID: 21931515
PMC: 3168183.
DOI: 10.1590/S1415-47572011005000019.
AnnotQTL: a new tool to gather functional and comparative information on a genomic region.
Lecerf F, Bretaudeau A, Sallou O, Desert C, Blum Y, Lagarrigue S
Nucleic Acids Res. 2011; 39(Web Server issue):W328-33.
PMID: 21596783
PMC: 3125768.
DOI: 10.1093/nar/gkr361.
Fine-mapping of muscle weight QTL in LG/J and SM/J intercrosses.
Lionikas A, Cheng R, Lim J, Palmer A, Blizard D
Physiol Genomics. 2010; 42A(1):33-8.
PMID: 20627939
PMC: 2957770.
DOI: 10.1152/physiolgenomics.00100.2010.
Mapping main, epistatic and sex-specific QTL for body composition in a chicken population divergently selected for low or high growth rate.
Ankra-Badu G, Shriner D, Le Bihan-Duval E, Mignon-Grasteau S, Pitel F, Beaumont C
BMC Genomics. 2010; 11:107.
PMID: 20149241
PMC: 2830984.
DOI: 10.1186/1471-2164-11-107.