Literature DB >> 23667399

eQTL Mapping Using RNA-seq Data.

Wei Sun1, Yijuan Hu.   

Abstract

As RNA-seq is replacing gene expression microarrays to assess genome-wide transcription abundance, gene expression Quantitative Trait Locus (eQTL) studies using RNA-seq have emerged. RNA-seq delivers two novel features that are important for eQTL studies. First, it provides information on allele-specific expression (ASE), which is not available from gene expression microarrays. Second, it generates unprecedentedly rich data to study RNA-isoform expression. In this paper, we review current methods for eQTL mapping using ASE and discuss some future directions. We also review existing works that use RNA-seq data to study RNA-isoform expression and we discuss the gaps between these works and isoform-specific eQTL mapping.

Entities:  

Keywords:  Allele-specific gene expression (ASE); Gene expression quantitative trait locus (eQTL); RNA isoform; RNA-seq

Year:  2013        PMID: 23667399      PMCID: PMC3650863          DOI: 10.1007/s12561-012-9068-3

Source DB:  PubMed          Journal:  Stat Biosci        ISSN: 1867-1764


  97 in total

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Review 2.  Computational methods for transcriptome annotation and quantification using RNA-seq.

Authors:  Manuel Garber; Manfred G Grabherr; Mitchell Guttman; Cole Trapnell
Journal:  Nat Methods       Date:  2011-05-27       Impact factor: 28.547

3.  A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-seq data.

Authors:  Daniel A Skelly; Marnie Johansson; Jennifer Madeoy; Jon Wakefield; Joshua M Akey
Journal:  Genome Res       Date:  2011-08-26       Impact factor: 9.043

Review 4.  Mechanism of cyclin D1 (CCND1, PRAD1) overexpression in human cancer cells: analysis of allele-specific expression.

Authors:  Y Hosokawa; A Arnold
Journal:  Genes Chromosomes Cancer       Date:  1998-05       Impact factor: 5.006

5.  Regularized Multivariate Regression for Identifying Master Predictors with Application to Integrative Genomics Study of Breast Cancer.

Authors:  Jie Peng; Ji Zhu; Anna Bergamaschi; Wonshik Han; Dong-Young Noh; Jonathan R Pollack; Pei Wang
Journal:  Ann Appl Stat       Date:  2010-03       Impact factor: 2.083

6.  Biases in Illumina transcriptome sequencing caused by random hexamer priming.

Authors:  Kasper D Hansen; Steven E Brenner; Sandrine Dudoit
Journal:  Nucleic Acids Res       Date:  2010-04-14       Impact factor: 16.971

Review 7.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

8.  Digital RNA allelotyping reveals tissue-specific and allele-specific gene expression in human.

Authors:  Kun Zhang; Jin Billy Li; Yuan Gao; Dieter Egli; Bin Xie; Jie Deng; Zhe Li; Je-Hyuk Lee; John Aach; Emily M Leproust; Kevin Eggan; George M Church
Journal:  Nat Methods       Date:  2009-07-20       Impact factor: 28.547

9.  Effect of read-mapping biases on detecting allele-specific expression from RNA-sequencing data.

Authors:  Jacob F Degner; John C Marioni; Athma A Pai; Joseph K Pickrell; Everlyne Nkadori; Yoav Gilad; Jonathan K Pritchard
Journal:  Bioinformatics       Date:  2009-10-06       Impact factor: 6.937

10.  MADS+: discovery of differential splicing events from Affymetrix exon junction array data.

Authors:  Shihao Shen; Claude C Warzecha; Russ P Carstens; Yi Xing
Journal:  Bioinformatics       Date:  2009-11-17       Impact factor: 6.937

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  25 in total

1.  RNA Sequencing and Analysis.

Authors:  Kimberly R Kukurba; Stephen B Montgomery
Journal:  Cold Spring Harb Protoc       Date:  2015-04-13

2.  A statistical method for detecting differentially expressed SNVs based on next-generation RNA-seq data.

Authors:  Rong Fu; Pei Wang; Weiping Ma; Ayumu Taguchi; Chee-Hong Wong; Qing Zhang; Adi Gazdar; Samir M Hanash; Qinghua Zhou; Hua Zhong; Ziding Feng
Journal:  Biometrics       Date:  2016-06-08       Impact factor: 2.571

3.  Comprehensively evaluating cis-regulatory variation in the human prostate transcriptome by using gene-level allele-specific expression.

Authors:  Nicholas B Larson; Shannon McDonnell; Amy J French; Zach Fogarty; John Cheville; Sumit Middha; Shaun Riska; Saurabh Baheti; Asha A Nair; Liang Wang; Daniel J Schaid; Stephen N Thibodeau
Journal:  Am J Hum Genet       Date:  2015-05-14       Impact factor: 11.025

4.  Prostate cancer risk locus at 8q24 as a regulatory hub by physical interactions with multiple genomic loci across the genome.

Authors:  Meijun Du; Tiezheng Yuan; Kala F Schilter; Rachel L Dittmar; Alexander Mackinnon; Xiaoyi Huang; Michael Tschannen; Elizabeth Worthey; Howard Jacob; Shu Xia; Jianzhong Gao; Lori Tillmans; Yan Lu; Pengyuan Liu; Stephen N Thibodeau; Liang Wang
Journal:  Hum Mol Genet       Date:  2014-08-22       Impact factor: 6.150

5.  Statistical Methods in Integrative Genomics.

Authors:  Sylvia Richardson; George C Tseng; Wei Sun
Journal:  Annu Rev Stat Appl       Date:  2016-04-18       Impact factor: 5.810

6.  Multivariate eQTL mapping uncovers functional variation on the X-chromosome associated with complex disease traits.

Authors:  Ben M Brumpton; Manuel A R Ferreira
Journal:  Hum Genet       Date:  2016-05-07       Impact factor: 4.132

7.  Allele-specific copy-number discovery from whole-genome and whole-exome sequencing.

Authors:  WeiBo Wang; Wei Wang; Wei Sun; James J Crowley; Jin P Szatkiewicz
Journal:  Nucleic Acids Res       Date:  2015-04-16       Impact factor: 16.971

Review 8.  Determining causality and consequence of expression quantitative trait loci.

Authors:  A Battle; S B Montgomery
Journal:  Hum Genet       Date:  2014-04-26       Impact factor: 4.132

Review 9.  Genetics of gene expression in CNS.

Authors:  Ashutosh K Pandey; Robert W Williams
Journal:  Int Rev Neurobiol       Date:  2014       Impact factor: 3.230

10.  Integrative Genomics Analysis Identifies ACVR1B as a Candidate Causal Gene of Emphysema Distribution.

Authors:  Adel Boueiz; Betty Pham; Robert Chase; Andrew Lamb; Sool Lee; Zun Zar Chi Naing; Michael H Cho; Margaret M Parker; Phuwanat Sakornsakolpat; Craig P Hersh; James D Crapo; Andrew B Stergachis; Ruth Tal-Singer; Dawn L DeMeo; Edwin K Silverman; Xiaobo Zhou; Peter J Castaldi
Journal:  Am J Respir Cell Mol Biol       Date:  2019-04       Impact factor: 6.914

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