Literature DB >> 22183966

Genetic control of gene expression in whole blood and lymphoblastoid cell lines is largely independent.

Joseph E Powell1, Anjali K Henders, Allan F McRae, Margaret J Wright, Nicholas G Martin, Emmanouil T Dermitzakis, Grant W Montgomery, Peter M Visscher.   

Abstract

The degree to which the level of genetic variation for gene expression is shared across multiple tissues has important implications for research investigating the role of expression on the etiology of complex human traits and diseases. In the last few years, several studies have been published reporting the extent of overlap in expression quantitative trait loci (eQTL) identified in multiple tissues or cell types. Although these studies provide important information on the regulatory control of genes across tissues, their limited power means that they can typically only explain a small proportion of genetic variation for gene expression. Here, using expression data from monozygotic twins (MZ), we investigate the genetic control of gene expression in lymphoblastoid cell lines (LCL) and whole blood (WB). We estimate the genetic correlation that represents the combined effects of all causal loci across the whole genome and is a measure of the level of common genetic control of gene expression between the two RNA sources. Our results show that, when averaged across the genome, mean levels of genetic correlation for gene expression in LCL and WB samples are close to zero. We support our results with evidence from gene expression in an independent sample of LCL, T-cells, and fibroblasts. In addition, we provide evidence that housekeeping genes, which maintain basic cellular functions, are more likely to have high genetic correlations between the RNA sources than non-housekeeping genes, implying a relationship between the transcript function and the degree to which a gene has tissue-specific genetic regulatory control.

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Year:  2011        PMID: 22183966      PMCID: PMC3290781          DOI: 10.1101/gr.126540.111

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  60 in total

1.  Further defining housekeeping, or "maintenance," genes Focus on "A compendium of gene expression in normal human tissues".

Authors:  A J Butte; V J Dzau; S B Glueck
Journal:  Physiol Genomics       Date:  2001-12-21       Impact factor: 3.107

2.  A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.

Authors:  B M Bolstad; R A Irizarry; M Astrand; T P Speed
Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

3.  Natural variation in human gene expression assessed in lymphoblastoid cells.

Authors:  Vivian G Cheung; Laura K Conlin; Teresa M Weber; Melissa Arcaro; Kuang-Yu Jen; Michael Morley; Richard S Spielman
Journal:  Nat Genet       Date:  2003-02-03       Impact factor: 38.330

4.  Normalization of cDNA microarray data.

Authors:  Gordon K Smyth; Terry Speed
Journal:  Methods       Date:  2003-12       Impact factor: 3.608

5.  The effects of EBV transformation on gene expression levels and methylation profiles.

Authors:  Minal Caliskan; Darren A Cusanovich; Carole Ober; Yoav Gilad
Journal:  Hum Mol Genet       Date:  2011-02-02       Impact factor: 6.150

6.  A routine method for the establishment of permanent growing lymphoblastoid cell lines.

Authors:  H Neitzel
Journal:  Hum Genet       Date:  1986-08       Impact factor: 4.132

7.  Genetic inheritance of gene expression in human cell lines.

Authors:  S A Monks; A Leonardson; H Zhu; P Cundiff; P Pietrusiak; S Edwards; J W Phillips; A Sachs; E E Schadt
Journal:  Am J Hum Genet       Date:  2004-10-21       Impact factor: 11.025

8.  Epstein-barr virus-induced changes in B-lymphocyte gene expression.

Authors:  Kara L Carter; Ellen Cahir-McFarland; Elliott Kieff
Journal:  J Virol       Date:  2002-10       Impact factor: 5.103

9.  Mammalian housekeeping genes evolve more slowly than tissue-specific genes.

Authors:  Liqing Zhang; Wen-Hsiung Li
Journal:  Mol Biol Evol       Date:  2003-10-31       Impact factor: 16.240

10.  Individuality and variation in gene expression patterns in human blood.

Authors:  Adeline R Whitney; Maximilian Diehn; Stephen J Popper; Ash A Alizadeh; Jennifer C Boldrick; David A Relman; Patrick O Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-10       Impact factor: 11.205

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  47 in total

1.  Geographical, environmental and pathophysiological influences on the human blood transcriptome.

Authors:  Rubina Tabassum; Artika Nath; Marcela Preininger; Greg Gibson
Journal:  Curr Genet Med Rep       Date:  2013-12

2.  Mapping eQTLs in the Norfolk Island genetic isolate identifies candidate genes for CVD risk traits.

Authors:  Miles C Benton; Rod A Lea; Donia Macartney-Coxson; Melanie A Carless; Harald H Göring; Claire Bellis; Michelle Hanna; David Eccles; Geoffrey K Chambers; Joanne E Curran; Jacquie L Harper; John Blangero; Lyn R Griffiths
Journal:  Am J Hum Genet       Date:  2013-12-05       Impact factor: 11.025

3.  Genetic and nongenetic variation revealed for the principal components of human gene expression.

Authors:  Anita Goldinger; Anjali K Henders; Allan F McRae; Nicholas G Martin; Greg Gibson; Grant W Montgomery; Peter M Visscher; Joseph E Powell
Journal:  Genetics       Date:  2013-09-11       Impact factor: 4.562

4.  Expression of asthma susceptibility genes in bronchial epithelial cells and bronchial alveolar lavage in the Severe Asthma Research Program (SARP) cohort.

Authors:  Xingnan Li; Gregory A Hawkins; Wendy C Moore; Annette T Hastie; Elizabeth J Ampleford; Jadranka Milosevic; Huashi Li; William W Busse; Serpil C Erzurum; Naftali Kaminski; Sally E Wenzel; Eugene R Bleecker; Deborah A Meyers
Journal:  J Asthma       Date:  2016-04-06       Impact factor: 2.515

5.  Gene expression and genetic variation in human atria.

Authors:  Honghuang Lin; Elena V Dolmatova; Michael P Morley; Kathryn L Lunetta; David D McManus; Jared W Magnani; Kenneth B Margulies; Hakon Hakonarson; Federica del Monte; Emelia J Benjamin; Thomas P Cappola; Patrick T Ellinor
Journal:  Heart Rhythm       Date:  2013-10-28       Impact factor: 6.343

6.  The Genetic Architecture of Gene Expression in Peripheral Blood.

Authors:  Luke R Lloyd-Jones; Alexander Holloway; Allan McRae; Jian Yang; Kerrin Small; Jing Zhao; Biao Zeng; Andrew Bakshi; Andres Metspalu; Manolis Dermitzakis; Greg Gibson; Tim Spector; Grant Montgomery; Tonu Esko; Peter M Visscher; Joseph E Powell
Journal:  Am J Hum Genet       Date:  2017-01-05       Impact factor: 11.025

7.  Identification of context-dependent expression quantitative trait loci in whole blood.

Authors:  Daria V Zhernakova; Patrick Deelen; Martijn Vermaat; Maarten van Iterson; Michiel van Galen; Wibowo Arindrarto; Peter van 't Hof; Hailiang Mei; Freerk van Dijk; Harm-Jan Westra; Marc Jan Bonder; Jeroen van Rooij; Marijn Verkerk; P Mila Jhamai; Matthijs Moed; Szymon M Kielbasa; Jan Bot; Irene Nooren; René Pool; Jenny van Dongen; Jouke J Hottenga; Coen D A Stehouwer; Carla J H van der Kallen; Casper G Schalkwijk; Alexandra Zhernakova; Yang Li; Ettje F Tigchelaar; Niek de Klein; Marian Beekman; Joris Deelen; Diana van Heemst; Leonard H van den Berg; Albert Hofman; André G Uitterlinden; Marleen M J van Greevenbroek; Jan H Veldink; Dorret I Boomsma; Cornelia M van Duijn; Cisca Wijmenga; P Eline Slagboom; Morris A Swertz; Aaron Isaacs; Joyce B J van Meurs; Rick Jansen; Bastiaan T Heijmans; Peter A C 't Hoen; Lude Franke
Journal:  Nat Genet       Date:  2016-12-05       Impact factor: 38.330

8.  Trans-eQTLs identified in whole blood have limited influence on complex disease biology.

Authors:  Chloe X Yap; Luke Lloyd-Jones; Alexander Holloway; Peter Smartt; Naomi R Wray; Jacob Gratten; Joseph E Powell
Journal:  Eur J Hum Genet       Date:  2018-06-11       Impact factor: 4.246

Review 9.  The continuing value of twin studies in the omics era.

Authors:  Jenny van Dongen; P Eline Slagboom; Harmen H M Draisma; Nicholas G Martin; Dorret I Boomsma
Journal:  Nat Rev Genet       Date:  2012-07-31       Impact factor: 53.242

Review 10.  Coordinating GWAS results with gene expression in a systems immunologic paradigm in autoimmunity.

Authors:  Barbara E Stranger; Phillip L De Jager
Journal:  Curr Opin Immunol       Date:  2012-10-03       Impact factor: 7.486

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