Quick method for confirmation of quantitative trait loci

被引:0
|
作者
Bennett, B [1 ]
Beeson, M [1 ]
Gordon, L [1 ]
Johnson, TE [1 ]
机构
[1] DENVER VET ADM ALCOHOL RES CTR,DENVER,CO
关键词
congenics; pharmacogenetics; alcohol sensitivity; gene mapping; sex differences;
D O I
10.1111/j.1530-0277.1997.tb03837.x
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Numerous algorithms for the identification and genetic mapping of quantitative trait loci (QTL) have been developed. Methods for confirming QTL maps involve either examination of independent segregating populations or the construction of congenic lines differing only in the QTL of interest. Because these projects require a minimum of several years or thousands of marker assessments in laboratory mice, an alternative, faster congenic method has been proposed, In a preliminary study, we tested this method for confirming QTLs identified in crosses between the ILS and ISS selected lines of mice for differential sensitivity to the hypnotic effects of ethanol, Herein, we report the construction of ''segregating congenic'' strains in which each QTL is made homozygous in a single generation, whereas the remainder of the genetic background is allowed to segregate, Sensitivity to ethanol among the progeny of such mice is consistent with predictions, Phenotypic variation is high, as expected, due to the background segregation, and statistical significance was attained in only 2 of 7 comparisons. Such segregating congenic populations may be a valuable research tool for confirming QTL map positions and for subsequent assessment of individual pathways and mechanisms of action of individual QTLs.
引用
收藏
页码:767 / 772
页数:6
相关论文
共 50 条
  • [1] A quick method for computing approximate thresholds for quantitative trait loci detection
    Piepho, HP
    [J]. GENETICS, 2001, 157 (01) : 425 - 432
  • [2] Confirmation of quantitative trait loci affecting fatness in chickens
    Jennen, DGJ
    Vereijken, ALJ
    Bovenhuis, H
    Crooijmans, RMPA
    van der Poel, JJ
    Groenen, MAM
    [J]. GENETICS SELECTION EVOLUTION, 2005, 37 (02) : 215 - 228
  • [3] Confirmation of quantitative trait loci for alcohol preference in mice
    Tarantino, LM
    McClearn, GE
    Rodriguez, LA
    Plomin, R
    [J]. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 1998, 22 (05) : 1099 - 1105
  • [4] Confirmation of quantitative trait loci affecting fatness in chickens
    Danyel GJ Jennen
    Addie LJ Vereijken
    Henk Bovenhuis
    Richard MPA Crooijmans
    Jan J van der Poel
    Martien AM Groenen
    [J]. Genetics Selection Evolution, 37 (3)
  • [5] Detection and Confirmation of Quantitative Trait Loci for Soybean Seed Isoflavones
    Smallwood, Christopher J.
    Nyinyi, Catherine N.
    Kopsell, Dean A.
    Sams, Carl E.
    West, Dennis R.
    Chen, Pengyin
    Kantartzi, Stella K.
    Cregan, Perry B.
    Hyten, David L.
    Pantalone, Vincent R.
    [J]. CROP SCIENCE, 2014, 54 (02) : 595 - 606
  • [6] Genetic mapping and confirmation of quantitative trait loci for grain chalkiness in rice
    Yun, Peng
    Zhu, Yun
    Wu, Bian
    Gao, Guanjun
    Sun, Ping
    Zhang, Qinglu
    He, Yuqing
    [J]. MOLECULAR BREEDING, 2016, 36 (12)
  • [7] Identification and confirmation of quantitative trait loci for stachyose content in soybean seed
    Zeng, Ailan
    Chen, Pengyin
    Zhang, Bo
    Orazaly, Moldir
    Florez-Palacios, Liliana
    Brye, Kristofor R.
    [J]. PLANT BREEDING, 2015, 134 (02) : 178 - 185
  • [8] Genetic mapping and confirmation of quantitative trait loci for grain chalkiness in rice
    Peng Yun
    Yun Zhu
    Bian Wu
    Guanjun Gao
    Ping Sun
    Qinglu Zhang
    Yuqing He
    [J]. Molecular Breeding, 2016, 36
  • [9] Identification and Confirmation of Quantitative Trait Loci Associated with Soybean Seed Hardness
    Orazaly, Moldir
    Chen, Pengyin
    Zeng, Ailan
    Zhang, Bo
    [J]. CROP SCIENCE, 2015, 55 (02) : 688 - 694
  • [10] Identification and confirmation of quantitative trait loci for root rot resistance in snap bean
    Navarro, Felix
    Sass, Michell E.
    Nienhuis, James
    [J]. CROP SCIENCE, 2008, 48 (03) : 962 - 972