Literature DB >> 16013961

Use of CEPH and non-CEPH lymphoblast cell lines in pharmacogenetic studies.

Sunita J Shukla1, M Eileen Dolan.   

Abstract

A long-term goal of pharmacogenomic research is the design of individualized therapy based on the genomic sequence of the patient in order to maximize response and minimize adverse drug reactions. Identifying genetic variants that predict drug response is challenging because drug responses reflect not only properties intrinsic to the target cell, but also host metabolic factors. One model that is currently being employed to study genotype-phenotype correlations involves the use of lymphoblastoid cell lines (LCLs). These cell lines have been used to identify genetic variation that influences response or susceptibility to cancer, radiation, transport, cytotoxicity, and variation in global gene expression. LCLs, particularly those derived from large pedigrees, are a valuable resource for identifying candidate genes and have potential for studies of many relevant phenotypes. This paper highlights studies that have utilized Centre d' Etude du Polymorphisme Humain (CEPH) and non-CEPH cell lines derived from humans for pharmacogenetic studies, and the advantages and disadvantages associated with this approach.

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Year:  2005        PMID: 16013961     DOI: 10.1517/14622416.6.3.303

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  19 in total

1.  Expression phenotype changes of EBV-transformed lymphoblastoid cell lines during long-term subculture and its clinical significance.

Authors:  J-E Lee; H-Y Nam; S-M Shim; G-R Bae; B-G Han; J-P Jeon
Journal:  Cell Prolif       Date:  2010-08       Impact factor: 6.831

2.  Germline polymorphisms discovered via a cell-based, genome-wide approach predict platinum response in head and neck cancers.

Authors:  Dana Ziliak; Peter H O'Donnell; Hae Kyung Im; Eric R Gamazon; Peixian Chen; Shannon Delaney; Sunita Shukla; Soma Das; Nancy J Cox; Everett E Vokes; Ezra E W Cohen; M Eileen Dolan; R Stephanie Huang
Journal:  Transl Res       Date:  2011-02-08       Impact factor: 7.012

Review 3.  Pharmacogenomic discovery using cell-based models.

Authors:  Marleen Welsh; Lara Mangravite; Marisa Wong Medina; Kelan Tantisira; Wei Zhang; R Stephanie Huang; Howard McLeod; M Eileen Dolan
Journal:  Pharmacol Rev       Date:  2009-12       Impact factor: 25.468

Review 4.  Identifying genetic variants that contribute to chemotherapy-induced cytotoxicity.

Authors:  Christine M Hartford; M Eileen Dolan
Journal:  Pharmacogenomics       Date:  2007-09       Impact factor: 2.533

Review 5.  Integrated Genomic Medicine: A Paradigm for Rare Diseases and Beyond.

Authors:  N J Schork; K Nazor
Journal:  Adv Genet       Date:  2017-07-25       Impact factor: 1.944

6.  Population differences in platinum toxicity as a means to identify novel genetic susceptibility variants.

Authors:  Peter H O'Donnell; Eric Gamazon; Wei Zhang; Amy L Stark; Emily O Kistner-Griffin; R Stephanie Huang; M Eileen Dolan
Journal:  Pharmacogenet Genomics       Date:  2010-05       Impact factor: 2.089

Review 7.  The role of HMGCR alternative splicing in statin efficacy.

Authors:  Marisa Wong Medina; Ronald M Krauss
Journal:  Trends Cardiovasc Med       Date:  2009-07       Impact factor: 6.677

8.  The relationship of 5HTT (SLC6A4) methylation and genotype on mRNA expression and liability to major depression and alcohol dependence in subjects from the Iowa Adoption Studies.

Authors:  Robert A Philibert; Harinder Sandhu; Nancy Hollenbeck; Tracy Gunter; William Adams; Anup Madan
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2008-07-05       Impact factor: 3.568

9.  Germline and somatic KLLN alterations in breast cancer dysregulate G2 arrest.

Authors:  Emily A Nizialek; Charissa Peterson; Jessica L Mester; Erinn Downes-Kelly; Charis Eng
Journal:  Hum Mol Genet       Date:  2013-02-27       Impact factor: 6.150

10.  A Bayesian hierarchical nonlinear model for assessing the association between genetic variation and drug cytotoxicity.

Authors:  Brooke L Fridley; Gregory Jenkins; Daniel J Schaid; Liewei Wang
Journal:  Stat Med       Date:  2009-09-20       Impact factor: 2.373

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