Literature DB >> 18597885

Revealing the architecture of gene regulation: the promise of eQTL studies.

Yoav Gilad1, Scott A Rifkin, Jonathan K Pritchard.   

Abstract

Expression quantitative trait loci (eQTL) mapping studies have become a widely used tool for identifying genetic variants that affect gene regulation. In these studies, expression levels are viewed as quantitative traits, and gene expression phenotypes are mapped to particular genomic loci by combining studies of variation in gene expression patterns with genome-wide genotyping. Results from recent eQTL mapping studies have revealed substantial heritable variation in gene expression within and between populations. In many cases, genetic factors that influence gene expression levels can be mapped to proximal (putatively cis) eQTLs and, less often, to distal (putatively trans) eQTLs. Beyond providing great insight into the biology of gene regulation, a combination of eQTL studies with results from traditional linkage or association studies of human disease may help predict a specific regulatory role for polymorphic sites previously associated with disease.

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Year:  2008        PMID: 18597885      PMCID: PMC2583071          DOI: 10.1016/j.tig.2008.06.001

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  69 in total

1.  Genomic control for association studies.

Authors:  B Devlin; K Roeder
Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

2.  Variation in gene expression within and among natural populations.

Authors:  Marjorie F Oleksiak; Gary A Churchill; Douglas L Crawford
Journal:  Nat Genet       Date:  2002-09-03       Impact factor: 38.330

Review 3.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

4.  Integrating genotypic and expression data in a segregating mouse population to identify 5-lipoxygenase as a susceptibility gene for obesity and bone traits.

Authors:  Margarete Mehrabian; Hooman Allayee; Jirina Stockton; Pek Yee Lum; Thomas A Drake; Lawrence W Castellani; Michael Suh; Christopher Armour; Stephen Edwards; John Lamb; Aldons J Lusis; Eric E Schadt
Journal:  Nat Genet       Date:  2005-10-02       Impact factor: 38.330

5.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

6.  A genome-wide association study of global gene expression.

Authors:  Anna L Dixon; Liming Liang; Miriam F Moffatt; Wei Chen; Simon Heath; Kenny C C Wong; Jenny Taylor; Edward Burnett; Ivo Gut; Martin Farrall; G Mark Lathrop; Gonçalo R Abecasis; William O C Cookson
Journal:  Nat Genet       Date:  2007-09-16       Impact factor: 38.330

7.  Global eQTL mapping reveals the complex genetic architecture of transcript-level variation in Arabidopsis.

Authors:  Marilyn A L West; Kyunga Kim; Daniel J Kliebenstein; Hans van Leeuwen; Richard W Michelmore; R W Doerge; Dina A St Clair
Journal:  Genetics       Date:  2006-12-18       Impact factor: 4.562

8.  Chance caught on the wing: cis-regulatory evolution and the origin of pigment patterns in Drosophila.

Authors:  Nicolas Gompel; Benjamin Prud'homme; Patricia J Wittkopp; Victoria A Kassner; Sean B Carroll
Journal:  Nature       Date:  2005-02-03       Impact factor: 49.962

Review 9.  Long-range control of gene expression: emerging mechanisms and disruption in disease.

Authors:  Dirk A Kleinjan; Veronica van Heyningen
Journal:  Am J Hum Genet       Date:  2004-11-17       Impact factor: 11.025

10.  A genome-wide gene expression signature of environmental geography in leukocytes of Moroccan Amazighs.

Authors:  Youssef Idaghdour; John D Storey; Sami J Jadallah; Greg Gibson
Journal:  PLoS Genet       Date:  2008-04-11       Impact factor: 5.917

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  245 in total

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

Authors:  Joseph E Powell; Anjali K Henders; Allan F McRae; Margaret J Wright; Nicholas G Martin; Emmanouil T Dermitzakis; Grant W Montgomery; Peter M Visscher
Journal:  Genome Res       Date:  2011-12-19       Impact factor: 9.043

2.  cDNA-AFLP-based genetical genomics in cotton fibers.

Authors:  Michel Claverie; Marlène Souquet; Janine Jean; Nelly Forestier-Chiron; Vincent Lepitre; Martial Pré; John Jacobs; Danny Llewellyn; Jean-Marc Lacape
Journal:  Theor Appl Genet       Date:  2011-11-13       Impact factor: 5.699

3.  Matrix eQTL: ultra fast eQTL analysis via large matrix operations.

Authors:  Andrey A Shabalin
Journal:  Bioinformatics       Date:  2012-04-06       Impact factor: 6.937

4.  Correction for hidden confounders in the genetic analysis of gene expression.

Authors:  Jennifer Listgarten; Carl Kadie; Eric E Schadt; David Heckerman
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-01       Impact factor: 11.205

5.  Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants.

Authors:  Brandon L Pierce; Habibul Ahsan; Tyler J Vanderweele
Journal:  Int J Epidemiol       Date:  2010-09-02       Impact factor: 7.196

Review 6.  Systems genetics, bioinformatics and eQTL mapping.

Authors:  Hong Li; Hongwen Deng
Journal:  Genetica       Date:  2010-09-03       Impact factor: 1.082

7.  The genetic basis of evolutionary change in gene expression levels.

Authors:  J J Emerson; Wen-Hsiung Li
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-27       Impact factor: 6.237

Review 8.  On the origin of species: insights from the ecological genomics of lake whitefish.

Authors:  Louis Bernatchez; Sébastien Renaut; Andrew R Whiteley; Nicolas Derome; Julie Jeukens; Lysandre Landry; Guoqing Lu; Arne W Nolte; Kjartan Ostbye; Sean M Rogers; Jérôme St-Cyr
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-06-12       Impact factor: 6.237

Review 9.  What can whole genome expression data tell us about the ecology and evolution of personality?

Authors:  Alison M Bell; Nadia Aubin-Horth
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-12-27       Impact factor: 6.237

10.  RNA sequencing reveals the role of splicing polymorphisms in regulating human gene expression.

Authors:  Emilie Lalonde; Kevin C H Ha; Zibo Wang; Amandine Bemmo; Claudia L Kleinman; Tony Kwan; Tomi Pastinen; Jacek Majewski
Journal:  Genome Res       Date:  2010-12-20       Impact factor: 9.043

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