title: QTL analysis of clinical-chemical traits in an F₂ intercross between Landrace and Korean native pigs.
abstract: Clinical-chemical traits are essential when examining the health status of individuals. The aim of this study was to identify quantitative trait loci (QTL) and the associated positional candidate genes affecting clinical-chemical traits in a reciprocal F(2) intercross between Landrace and Korean native pigs. Following an overnight fast, 25 serum phenotypes related to clinical-chemical traits (e.g., hepatic function parameters, renal function parameters, electrolyte, lipids) were measured in >970 F(2) progeny. All experimental samples were subjected to genotyping analysis using 165 microsatellite markers located across the genome. We identified eleven genome-wide significant QTL in six chromosomal regions (SSC 2, 7, 8, 13, 14, and 15) and 59 suggestive QTL in 17 chromosomal regions (SSC 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, and 18). We also observed significant effects of reciprocal crosses on some of the traits, which would seem to result from maternal effect, QTL on sex chromosomes, imprinted genes, or genetic difference in mitochondrial DNA. The role of genomic imprinting in clinical-chemical traits also was investigated. Genome-wide analysis revealed a significant evidence for an imprinted QTL in SSC4 affecting serum amylase levels. Additionally, a series of bivariate linkage analysis provided strong evidence that QTL in SSC 2, 13, 15, and 18 have a pleiotropic effect on clinical-chemical traits. In conclusion, our study detected both novel and previously reported QTL influencing clinical-chemical traits in pigs. The identified QTL together with the positional candidate genes identified here could play an important role in elucidating the genetic structure of clinical-chemical phenotype variation in humans and swine.
authors.affiliation: Animal Science Major, Division of Applied Life Science (Brain Korea 21 Program) Gyeongsang National University, Jinju, Korea.
authors.forename: Chae-Kyoung
authors.initials: CK
authors.lastname: Yoo
authors.forename: In-Cheol
authors.initials: IC
authors.lastname: Cho
authors.forename: Jae-Bong
authors.initials: JB
authors.lastname: Lee
authors.forename: Eun-Ji
authors.initials: EJ
authors.lastname: Jung
authors.forename: Hyun-Tae
authors.initials: HT
authors.lastname: Lim
authors.forename: Sang-Hyun
authors.initials: SH
authors.lastname: Han
authors.forename: Sung-Soo
authors.initials: SS
authors.lastname: Lee
authors.forename: Moon-Suck
authors.initials: MS
authors.lastname: Ko
authors.forename: Taeyoung
authors.initials: T
authors.lastname: Kang
authors.forename: Joon-Ho
authors.initials: JH
authors.lastname: Hwang
authors.forename: Yong Sang
authors.initials: YS
authors.lastname: Park
authors.forename: Hee-Bok
authors.initials: HB
authors.lastname: Park
mesh_terms: D000818:Animals; D001792:Blood Platelets / Q000166:cytology; D003433:Crosses, Genetic; D004272:DNA, Mitochondrial / Q000737:chemistry; D016678:Genome; D055106:Genome-Wide Association Study; D008055:Lipids / Q000097:blood; D018895:Microsatellite Repeats / Q000235:genetics; D040641:Quantitative Trait Loci; D013045:Species Specificity; D034421:Sus scrofa / Q000145:classification / Q000235:genetics* / Q000378:metabolism*
chemical_list: D004272:DNA, Mitochondrial; D008055:Lipids