Literature DB >> 21109222

Population differences in the rate of proliferation of international HapMap cell lines.

Amy L Stark1, Wei Zhang, Tong Zhou, Peter H O'Donnell, Christine M Beiswanger, R Stephanie Huang, Nancy J Cox, M Eileen Dolan.   

Abstract

The International HapMap Project is a resource for researchers containing genotype, sequencing, and expression information for EBV-transformed lymphoblastoid cell lines derived from populations across the world. The expansion of the HapMap beyond the four initial populations of Phase 2, referred to as Phase 3, has increased the sample number and ethnic diversity available for investigation. However, differences in the rate of cellular proliferation between the populations can serve as confounders in phenotype-genotype studies using these cell lines. Within the Phase 2 populations, the JPT and CHB cell lines grow faster (p < 0.0001) than the CEU or YRI cell lines. Phase 3 YRI cell lines grow significantly slower than Phase 2 YRI lines (p < 0.0001), with no widespread genetic differences based on common SNPs. In addition, we found significant growth differences between the cell lines in the Phase 2 ASN populations and the Han Chinese from the Denver metropolitan area panel in Phase 3 (p < 0.0001). Therefore, studies that separate HapMap panels into discovery and replication sets must take this into consideration.
Copyright © 2010 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2010        PMID: 21109222      PMCID: PMC2997375          DOI: 10.1016/j.ajhg.2010.10.018

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  20 in total

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3.  Common genetic variants account for differences in gene expression among ethnic groups.

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4.  Gene-expression variation within and among human populations.

Authors:  John D Storey; Jennifer Madeoy; Jeanna L Strout; Mark Wurfel; James Ronald; Joshua M Akey
Journal:  Am J Hum Genet       Date:  2007-01-11       Impact factor: 11.025

5.  Heritable and non-genetic factors as variables of pharmacologic phenotypes in lymphoblastoid cell lines.

Authors:  A L Stark; W Zhang; S Mi; S Duan; P H O'Donnell; R S Huang; M E Dolan
Journal:  Pharmacogenomics J       Date:  2010-02-09       Impact factor: 3.550

6.  Using HapMap tools in pharmacogenomic discovery: the thiopurine methyltransferase polymorphism.

Authors:  T S Jones; W Yang; W E Evans; M V Relling
Journal:  Clin Pharmacol Ther       Date:  2007-02-28       Impact factor: 6.875

7.  Global variation in copy number in the human genome.

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Journal:  Nature       Date:  2006-11-23       Impact factor: 49.962

8.  Effect of population and gender on chemotherapeutic agent-induced cytotoxicity.

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9.  Relative impact of nucleotide and copy number variation on gene expression phenotypes.

Authors:  Barbara E Stranger; Matthew S Forrest; Mark Dunning; Catherine E Ingle; Claude Beazley; Natalie Thorne; Richard Redon; Christine P Bird; Anna de Grassi; Charles Lee; Chris Tyler-Smith; Nigel Carter; Stephen W Scherer; Simon Tavaré; Panagiotis Deloukas; Matthew E Hurles; Emmanouil T Dermitzakis
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10.  Genetic analysis of genome-wide variation in human gene expression.

Authors:  Michael Morley; Cliona M Molony; Teresa M Weber; James L Devlin; Kathryn G Ewens; Richard S Spielman; Vivian G Cheung
Journal:  Nature       Date:  2004-07-21       Impact factor: 49.962

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  14 in total

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2.  Functional genetic screen of human diversity reveals that a methionine salvage enzyme regulates inflammatory cell death.

Authors:  Dennis C Ko; Eric R Gamazon; Kajal P Shukla; Richard A Pfuetzner; Dale Whittington; Tarah D Holden; Mitchell J Brittnacher; Christine Fong; Matthew Radey; Cassandra Ogohara; Amy L Stark; Joshua M Akey; M Eileen Dolan; Mark M Wurfel; Samuel I Miller
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-25       Impact factor: 11.205

3.  Identification of novel germline polymorphisms governing capecitabine sensitivity.

Authors:  Peter H O'Donnell; Amy L Stark; Eric R Gamazon; Heather E Wheeler; Bridget E McIlwee; Lidija Gorsic; Hae Kyung Im; R Stephanie Huang; Nancy J Cox; M Eileen Dolan
Journal:  Cancer       Date:  2012-01-03       Impact factor: 6.860

4.  Integrative multi-omics analysis of a colon cancer cell line with heterogeneous Wnt activity revealed RUNX2 as an epigenetic regulator of EMT.

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Journal:  Oncogene       Date:  2020-06-13       Impact factor: 9.867

5.  Novel lymphoblastoid cell lines from primary neoplasms of the upper aero-digestive tract.

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6.  Genome-wide local ancestry approach identifies genes and variants associated with chemotherapeutic susceptibility in African Americans.

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Journal:  PLoS One       Date:  2011-07-06       Impact factor: 3.240

7.  Mixed effects modeling of proliferation rates in cell-based models: consequence for pharmacogenomics and cancer.

Authors:  Hae Kyung Im; Eric R Gamazon; Amy L Stark; R Stephanie Huang; Nancy J Cox; M Eileen Dolan
Journal:  PLoS Genet       Date:  2012-02-09       Impact factor: 5.917

8.  Whole-exome sequencing of DNA from peripheral blood mononuclear cells (PBMC) and EBV-transformed lymphocytes from the same donor.

Authors:  Eric R Londin; Margaret A Keller; Michael R D'Andrea; Kathleen Delgrosso; Adam Ertel; Saul Surrey; Paolo Fortina
Journal:  BMC Genomics       Date:  2011-09-26       Impact factor: 3.969

9.  Host genetic variants and gene expression patterns associated with Epstein-Barr virus copy number in lymphoblastoid cell lines.

Authors:  Charlotte J Houldcroft; Velislava Petrova; Jimmy Z Liu; Dan Frampton; Carl A Anderson; Astrid Gall; Paul Kellam
Journal:  PLoS One       Date:  2014-10-07       Impact factor: 3.240

10.  Genetic association with overall survival of taxane-treated lung cancer patients - a genome-wide association study in human lymphoblastoid cell lines followed by a clinical association study.

Authors:  Nifang Niu; Daniel J Schaid; Ryan P Abo; Krishna Kalari; Brooke L Fridley; Qiping Feng; Gregory Jenkins; Anthony Batzler; Abra G Brisbin; Julie M Cunningham; Liang Li; Zhifu Sun; Ping Yang; Liewei Wang
Journal:  BMC Cancer       Date:  2012-09-24       Impact factor: 4.430

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