Literature DB >> 22304583

Computational tools for discovery and interpretation of expression quantitative trait loci.

Fred A Wright1, Andrey A Shabalin, Ivan Rusyn.   

Abstract

Expression quantitative trait locus (eQTL) analysis is rapidly moving from a cutting-edge concept in genomics to a mature area of investigation, with important connections to genome-wide association studies for human disease, pharmacogenomics and toxicogenomics. Despite the importance of the topic, many investigators must develop their own code or use tools not specifically suited for eQTL analysis. Convenient computational tools are becoming available, but they are not widely publicized, and investigators who are interested in discovery or eQTL, or in using them to interpret genome-wide association study results may have difficulty navigating the available resources. The purpose of this review is to help investigators find appropriate programs for eQTL analysis and interpretation.

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Year:  2012        PMID: 22304583      PMCID: PMC3295835          DOI: 10.2217/pgs.11.185

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


  65 in total

Review 1.  Taking gene-expression profiling to the clinic: when will molecular signatures become relevant to patient care?

Authors:  Christos Sotiriou; Martine J Piccart
Journal:  Nat Rev Cancer       Date:  2007-07       Impact factor: 60.716

2.  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

3.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

4.  Genetics of gene expression and its effect on disease.

Authors:  Valur Emilsson; Gudmar Thorleifsson; Bin Zhang; Amy S Leonardson; Florian Zink; Jun Zhu; Sonia Carlson; Agnar Helgason; G Bragi Walters; Steinunn Gunnarsdottir; Magali Mouy; Valgerdur Steinthorsdottir; Gudrun H Eiriksdottir; Gyda Bjornsdottir; Inga Reynisdottir; Daniel Gudbjartsson; Anna Helgadottir; Aslaug Jonasdottir; Adalbjorg Jonasdottir; Unnur Styrkarsdottir; Solveig Gretarsdottir; Kristinn P Magnusson; Hreinn Stefansson; Ragnheidur Fossdal; Kristleifur Kristjansson; Hjortur G Gislason; Tryggvi Stefansson; Bjorn G Leifsson; Unnur Thorsteinsdottir; John R Lamb; Jeffrey R Gulcher; Marc L Reitman; Augustine Kong; Eric E Schadt; Kari Stefansson
Journal:  Nature       Date:  2008-03-16       Impact factor: 49.962

5.  Detection of eQTL modules mediated by activity levels of transcription factors.

Authors:  Wei Sun; Tianwei Yu; Ker-Chau Li
Journal:  Bioinformatics       Date:  2007-06-28       Impact factor: 6.937

6.  Genome-wide analysis of transcript isoform variation in humans.

Authors:  Tony Kwan; David Benovoy; Christel Dias; Scott Gurd; Cathy Provencher; Patrick Beaulieu; Thomas J Hudson; Rob Sladek; Jacek Majewski
Journal:  Nat Genet       Date:  2008-01-13       Impact factor: 38.330

7.  Genome-level analysis of genetic regulation of liver gene expression networks.

Authors:  Daniel Gatti; Akira Maki; Elissa J Chesler; Roumyana Kirova; Oksana Kosyk; Lu Lu; Kenneth F Manly; Robert W Williams; Andy Perkins; Michael A Langston; David W Threadgill; Ivan Rusyn
Journal:  Hepatology       Date:  2007-08       Impact factor: 17.425

8.  Capturing heterogeneity in gene expression studies by surrogate variable analysis.

Authors:  Jeffrey T Leek; John D Storey
Journal:  PLoS Genet       Date:  2007-08-01       Impact factor: 5.917

9.  Gene set enrichment in eQTL data identifies novel annotations and pathway regulators.

Authors:  Chunlei Wu; David L Delano; Nico Mitro; Stephen V Su; Jeff Janes; Phillip McClurg; Serge Batalov; Genevieve L Welch; Jie Zhang; Anthony P Orth; John R Walker; Richard J Glynne; Michael P Cooke; Joseph S Takahashi; Kazuhiro Shimomura; Akira Kohsaka; Joseph Bass; Enrique Saez; Tim Wiltshire; Andrew I Su
Journal:  PLoS Genet       Date:  2008-05-09       Impact factor: 5.917

10.  Mapping the genetic architecture of gene expression in human liver.

Authors:  Eric E Schadt; Cliona Molony; Eugene Chudin; Ke Hao; Xia Yang; Pek Y Lum; Andrew Kasarskis; Bin Zhang; Susanna Wang; Christine Suver; Jun Zhu; Joshua Millstein; Solveig Sieberts; John Lamb; Debraj GuhaThakurta; Jonathan Derry; John D Storey; Iliana Avila-Campillo; Mark J Kruger; Jason M Johnson; Carol A Rohl; Atila van Nas; Margarete Mehrabian; Thomas A Drake; Aldons J Lusis; Ryan C Smith; F Peter Guengerich; Stephen C Strom; Erin Schuetz; Thomas H Rushmore; Roger Ulrich
Journal:  PLoS Biol       Date:  2008-05-06       Impact factor: 8.029

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  8 in total

1.  Fast eQTL Analysis for Twin Studies.

Authors:  Zhaoyu Yin; Kai Xia; Wonil Chung; Patrick F Sullivan; Fei Zou
Journal:  Genet Epidemiol       Date:  2015-04-10       Impact factor: 2.135

2.  Associations of common variants in the BST2 region with HIV-1 acquisition in African American and European American people who inject drugs.

Authors:  Dana B Hancock; Nathan C Gaddis; Joshua L Levy; Laura J Bierut; Alex H Kral; Eric O Johnson
Journal:  AIDS       Date:  2015-04-24       Impact factor: 4.177

Review 3.  Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility.

Authors:  Swapan Kumar Das; Neeraj Kumar Sharma
Journal:  World J Diabetes       Date:  2014-04-15

4.  Estimation of cis-eQTL effect sizes using a log of linear model.

Authors:  John Palowitch; Andrey Shabalin; Yi-Hui Zhou; Andrew B Nobel; Fred A Wright
Journal:  Biometrics       Date:  2017-10-26       Impact factor: 2.571

Review 5.  Statistical and Computational Methods for Genetic Diseases: An Overview.

Authors:  Francesco Camastra; Maria Donata Di Taranto; Antonino Staiano
Journal:  Comput Math Methods Med       Date:  2015-05-28       Impact factor: 2.238

6.  Genome-wide association analyses based on whole-genome sequencing in Sardinia provide insights into regulation of hemoglobin levels.

Authors:  Fabrice Danjou; Magdalena Zoledziewska; Carlo Sidore; Maristella Steri; Fabio Busonero; Andrea Maschio; Antonella Mulas; Lucia Perseu; Susanna Barella; Eleonora Porcu; Giorgio Pistis; Maristella Pitzalis; Mauro Pala; Stephan Menzel; Sarah Metrustry; Timothy D Spector; Lidia Leoni; Andrea Angius; Manuela Uda; Paolo Moi; Swee Lay Thein; Renzo Galanello; Gonçalo R Abecasis; David Schlessinger; Serena Sanna; Francesco Cucca
Journal:  Nat Genet       Date:  2015-09-14       Impact factor: 38.330

Review 7.  The Next Generation of Risk Assessment Multi-Year Study-Highlights of Findings, Applications to Risk Assessment, and Future Directions.

Authors:  Ila Cote; Melvin E Andersen; Gerald T Ankley; Stanley Barone; Linda S Birnbaum; Kim Boekelheide; Frederic Y Bois; Lyle D Burgoon; Weihsueh A Chiu; Douglas Crawford-Brown; Kevin M Crofton; Michael DeVito; Robert B Devlin; Stephen W Edwards; Kathryn Z Guyton; Dale Hattis; Richard S Judson; Derek Knight; Daniel Krewski; Jason Lambert; Elizabeth Anne Maull; Donna Mendrick; Gregory M Paoli; Chirag Jagdish Patel; Edward J Perkins; Gerald Poje; Christopher J Portier; Ivan Rusyn; Paul A Schulte; Anton Simeonov; Martyn T Smith; Kristina A Thayer; Russell S Thomas; Reuben Thomas; Raymond R Tice; John J Vandenberg; Daniel L Villeneuve; Scott Wesselkamper; Maurice Whelan; Christine Whittaker; Ronald White; Menghang Xia; Carole Yauk; Lauren Zeise; Jay Zhao; Robert S DeWoskin
Journal:  Environ Health Perspect       Date:  2016-04-19       Impact factor: 9.031

8.  Genome and transcriptome profiling of spontaneous preterm birth phenotypes.

Authors:  Juhi K Gupta; Angharad Care; Laura Goodfellow; Zarko Alfirevic; Bertram Müller-Myhsok; Ana Alfirevic
Journal:  Sci Rep       Date:  2022-01-19       Impact factor: 4.379

  8 in total

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