Literature DB >> 22496488

QTL analysis of clinical-chemical traits in an F₂ intercross between Landrace and Korean native pigs.

Chae-Kyoung Yoo1, In-Cheol Cho, Jae-Bong Lee, Eun-Ji Jung, Hyun-Tae Lim, Sang-Hyun Han, Sung-Soo Lee, Moon-Suck Ko, Taeyoung Kang, Joon-Ho Hwang, Yong Sang Park, Hee-Bok Park.   

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.

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Year:  2012        PMID: 22496488     DOI: 10.1152/physiolgenomics.00172.2011

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  4 in total

1.  A genome-wide association analysis for porcine serum lipid traits reveals the existence of age-specific genetic determinants.

Authors:  Arianna Manunza; Joaquim Casellas; Raquel Quintanilla; Rayner González-Prendes; Ramona N Pena; Joan Tibau; Anna Mercadé; Anna Castelló; Nitdia Aznárez; Jules Hernández-Sánchez; Marcel Amills
Journal:  BMC Genomics       Date:  2014-09-04       Impact factor: 3.969

2.  Single- and Bayesian Multi-Marker Genome-Wide Association for Haematological Parameters in Pigs.

Authors:  Siriluck Ponsuksili; Henry Reyer; Nares Trakooljul; Eduard Murani; Klaus Wimmers
Journal:  PLoS One       Date:  2016-07-19       Impact factor: 3.240

3.  Genetic variants of major genes contributing to phosphate and calcium homeostasis and their association with serum parameters in pigs.

Authors:  Franziska Just; Henry Reyer; Eduard Muráni; Siriluck Ponsuksili; Michael Oster; Klaus Wimmers
Journal:  J Appl Genet       Date:  2018-06-22       Impact factor: 3.240

4.  GWAS and Post-GWAS High-Resolution Mapping Analyses Identify Strong Novel Candidate Genes Influencing the Fatty Acid Composition of the Longissimus dorsi Muscle in Pigs.

Authors:  Jae-Bong Lee; Yong-Jun Kang; Sang-Geum Kim; Jae-Hoon Woo; Moon-Cheol Shin; Nam-Geon Park; Byoung-Chul Yang; Sang-Hyun Han; Kang-Min Han; Hyun-Tae Lim; Youn-Chul Ryu; Hee-Bok Park; In-Cheol Cho
Journal:  Genes (Basel)       Date:  2021-08-26       Impact factor: 4.096

  4 in total

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