Using microarrays to identify positional candidate genes for QTL: the case study of ACTH response in pigs

被引：9
|
作者：
Vincent Jouffe
Suzanne Rowe
Laurence Liaubet
Bart Buitenhuis
Henrik Hornshøj
Magali SanCristobal
Pierre Mormède
DJ de Koning
机构：
[1] INRA UMR1286,Laboratoire PsyNuGen
[2] CNRS UMR5226,The Roslin Institute and R(D)SVS
[3] Université de Bordeaux 2,Laboratoire de Génétique Cellulaire
[4] University of Edinburgh,Department of Genetics and Biotechnology, Faculty of Agricultural Sciences
[5] INRA UMR444,undefined
[6] Aarhus University,undefined
来源：
BMC Proceedings | / 3卷 / Suppl 4期
关键词：
Differentially Express Gene; Draft Genome Sequence; Positional Candidate Gene; Porcine Genome; Ldlr Gene;
D O I：
10.1186/1753-6561-3-S4-S14
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Joint QTL mapping and gene expression analysis identify positional candidate genes influencing pork quality traits
    Rayner González-Prendes
    Raquel Quintanilla
    Angela Cánovas
    Arianna Manunza
    Tainã Figueiredo Cardoso
    Jordi Jordana
    José Luis Noguera
    Ramona N. Pena
    Marcel Amills
    Scientific Reports, 7
  • [2] Joint QTL mapping and gene expression analysis identify positional candidate genes influencing pork quality traits
    Gonzalez-Prendes, Rayner
    Quintanilla, Raquel
    Canovas, Angela
    Manunza, Arianna
    Figueiredo Cardoso, Taina
    Jordana, Jordi
    Luis Noguera, Jose
    Pena, Ramona N.
    Amills, Marcel
    SCIENTIFIC REPORTS, 2017, 7
  • [3] A strategy to identify positional candidate genes conferring Marek's disease resistance by integrating DNA microarrays and genetic mapping
    Liu, HC
    Cheng, HH
    Tirunagaru, V
    Sofer, L
    Burnside, J
    ANIMAL GENETICS, 2001, 32 (06) : 351 - 359
  • [4] QTL region-specific microarrays reveal differential expression of positional candidate genes of signaling pathways associated with the liability for the inverted teat defect
    Chomwisarutkun, K.
    Murani, E.
    Brunner, R.
    Ponsuksili, S.
    Wimmers, K.
    ANIMAL GENETICS, 2013, 44 (02) : 139 - 148
  • [5] Mining SNP databases to narrow QTL intervals and identify candidate genes
    Bennett, B.
    Carosone-Link, P.
    Johnson, T. E.
    ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2007, 31 (06) : 134A - 134A
  • [6] Integration of QTL and bioinformatic tools to identify candidate genes for triglycerides in mice
    Leduc, Magalie S.
    Hageman, Rachael S.
    Verdugo, Ricardo A.
    Tsaih, Shirng-Wern
    Walsh, Kenneth
    Churchill, Gary A.
    Paigen, Beverly
    JOURNAL OF LIPID RESEARCH, 2011, 52 (09) : 1672 - 1682
  • [7] QTL and PACE analyses identify candidate genes for anthracnose resistance in tomato
    Lopez-Ortiz, Carlos
    Reddy, Umesh K.
    Zhang, Chong
    Natarajan, Purushothaman
    Nimmakayala, Padma
    Benedito, Vagner Augusto
    Fabian, Matthew
    Stommel, John
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [8] Analysing gene expression data from DNA microarrays to identify candidate genes
    Wu, TD
    JOURNAL OF PATHOLOGY, 2001, 195 (01): : 53 - 65
  • [9] Identification of Arabidopsis Candidate Genes in Response to Biotic and Abiotic Stresses Using Comparative Microarrays
    Sham, Arjun
    Moustafa, Khaled
    Al-Ameri, Salma
    Al-Azzawi, Ahmed
    Iratni, Rabah
    AbuQamar, Synan
    PLOS ONE, 2015, 10 (05):
  • [10] Fine mapping of fatness QTL on porcine chromosome X and analyses of three positional candidate genes
    Ma, Junwu
    Gilbert, Helene
    Iannuccelli, Nathalie
    Duan, Yanyu
    Guo, Beili
    Huang, Weibing
    Ma, Huanban
    Riquet, Juliette
    Bidanel, Jean-Pierre
    Huang, Lusheng
    Milan, Denis
    BMC GENETICS, 2013, 14
12345