Pharmacogenomic study outcome models for quantitative drug-response traits.

被引：0
|
作者：
Katz, DA
Yang, F
Schork, NJ
机构：
[1] Abbott Labs, Abbott Pk, IL 60064 USA
[2] Genset Corp, La Jolla, CA USA
来源：
AMERICAN JOURNAL OF HUMAN GENETICS | 1999年 / 65卷 / 04期
关键词：
D O I：
暂无
中图分类号：
Q3 [遗传学];
学科分类号：
071007 ; 090102 ;
摘要：
1197
引用
收藏
页码：A217 / A217
页数：1
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  • [1] The development of pharmacogenomic models to predict drug response
    Adam, GIR
    Sanders, R
    Jonsson, J
    [J]. TRENDS IN BIOTECHNOLOGY, 1999, : 30 - 33
  • [2] Asthma pharmacogenetic study using finite mixture models to handle drug-response heterogeneity
    York, Timothy P.
    Vargas-Irwin, Cristina
    Anderson, Wayne H.
    van den Oord, Edwin J. C. G.
    [J]. PHARMACOGENOMICS, 2009, 10 (05) : 753 - 767
  • [3] Analysis of genetic effects of major genes and polygenes on quantitative traits. II. Genetic models for seed traits of crops
    Lou, XY
    Zhu, J
    [J]. THEORETICAL AND APPLIED GENETICS, 2002, 105 (6-7) : 964 - 971
  • [4] Analysis of genetic effects of major genes and polygenes on quantitative traits. II. Genetic models for seed traits of crops
    Xiang-Yang Lou
    Jun Zhu
    [J]. Theoretical and Applied Genetics, 2002, 105 : 964 - 971
  • [5] A Multi-center Study on the Reproducibility of Drug-Response Assays in Mammalian Cell Lines
    Niepel, Mario
    Hafner, Marc
    Mills, Caitlin E.
    Subramanian, Kartik
    Williams, Elizabeth H.
    Chung, Mirra
    Gaudio, Benjamin
    Barrette, Anne Marie
    Stern, Alan D.
    Hu, Bin
    Korkola, James E.
    Gray, Joe W.
    Birtwistle, Marc R.
    Heiser, Laura M.
    Sorger, Peter K.
    Shamu, Caroline E.
    Jayaraman, Gomathi
    Azeloglu, Evren U.
    Iyengar, Ravi
    Sobie, Eric A.
    Mills, Gordon B.
    Liby, Tiera
    Jaffe, Jacob D.
    Alimova, Maria
    Davison, Desiree
    Lu, Xiaodong
    Golub, Todd R.
    Subramanian, Aravind
    Shelley, Brandon
    Svendsen, Clive N.
    Ma'ayan, Avi
    Medvedovic, Mario
    [J]. CELL SYSTEMS, 2019, 9 (01) : 35 - +
  • [6] Lymphoblastoid Cell Lines Models of Drug Response: Successes and Lessons from this Pharmacogenomic Model
    Jack, J.
    Rotroff, D.
    Motsinger-Reif, A.
    [J]. CURRENT MOLECULAR MEDICINE, 2014, 14 (07) : 833 - 840
  • [7] Drug-response signature predicts outcome in adult acute myeloid leukemia and associates poor response with molecular characteristics of hematopoietic stem cells.
    Heuser, M
    Wingen, LU
    Steinemann, D
    Cario, G
    von Neuhoff, N
    Tauscher, M
    Bullinger, L
    Dohner, H
    Schlegelberger, B
    Ganser, A
    [J]. BLOOD, 2004, 104 (11) : 558A - 558A
  • [8] A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia
    Xiaoming Liu
    Jiasheng Yang
    Yi Zhang
    Yun Fang
    Fayou Wang
    Jun Wang
    Xiaoqi Zheng
    Jialiang Yang
    [J]. Scientific Reports, 6
  • [9] A systematic study on drug-response associated genes using baseline gene expressions of the Cancer Cell Line Encyclopedia
    Liu, Xiaoming
    Yang, Jiasheng
    Zhang, Yi
    Fang, Yun
    Wang, Fayou
    Wang, Jun
    Zheng, Xiaoqi
    Yang, Jialiang
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [10] Multi-SNP pharmacogenomic classifier is superior to single-SNP models for predicting drug outcome in complex diseases
    Petrovski, Slavie
    Szoeke, Cassandra E.
    Sheffield, Leslie J.
    D'Souza, Wendyl
    Huggins, Richard M.
    O'Brien, Terence J.
    [J]. PHARMACOGENETICS AND GENOMICS, 2009, 19 (02): : 147 - 152
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