Literature DB >> 21122937

The study of eQTL variations by RNA-seq: from SNPs to phenotypes.

Jacek Majewski1, Tomi Pastinen.   

Abstract

Common DNA variants alter the expression levels and patterns of many human genes. Loci responsible for this genetic control are known as expression quantitative trait loci (eQTLs). The resulting variation of gene expression across individuals has been postulated to be a determinant of phenotypic variation and susceptibility to complex disease. In the past, the application of expression microarray and genetic variation data to study populations enabled the rapid identification of eQTLs in model organisms and humans. Now, a new technology promises to revolutionize the field. Massively parallel RNA sequencing (RNA-seq) provides unprecedented resolution, allowing us to accurately monitor not only the expression output of each genomic locus but also reconstruct and quantify alternatively spliced transcripts. RNA-seq also provides new insights into the regulatory mechanisms underlying eQTLs. Here, we discuss the major advances introduced by RNA-seq and summarize current progress towards understanding the role of eQTLs in determining human phenotypic diversity.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21122937     DOI: 10.1016/j.tig.2010.10.006

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


  102 in total

1.  Impact of common regulatory single-nucleotide variants on gene expression profiles in whole blood.

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Journal:  Eur J Hum Genet       Date:  2012-06-13       Impact factor: 4.246

Review 2.  RNA-Seq and human complex diseases: recent accomplishments and future perspectives.

Authors:  Valerio Costa; Marianna Aprile; Roberta Esposito; Alfredo Ciccodicola
Journal:  Eur J Hum Genet       Date:  2012-06-27       Impact factor: 4.246

3.  eQTL analysis links inflammatory bowel disease associated 1q21 locus to ECM1 gene.

Authors:  Katja Repnik; Uroš Potočnik
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4.  RNA Sequencing and Analysis.

Authors:  Kimberly R Kukurba; Stephen B Montgomery
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5.  Towards a map of cis-regulatory sequences in the human genome.

Authors:  Meng Niu; Ehsan Tabari; Pengyu Ni; Zhengchang Su
Journal:  Nucleic Acids Res       Date:  2018-06-20       Impact factor: 16.971

6.  Age-specific variation in immune response in Drosophila melanogaster has a genetic basis.

Authors:  Tashauna M Felix; Kimberly A Hughes; Eric A Stone; Jenny M Drnevich; Jeff Leips
Journal:  Genetics       Date:  2012-05-02       Impact factor: 4.562

7.  Efficiently identifying significant associations in genome-wide association studies.

Authors:  Emrah Kostem; Eleazar Eskin
Journal:  J Comput Biol       Date:  2013-09-14       Impact factor: 1.479

8.  Rare Coding Variants Associated with Breast Cancer.

Authors:  Mi-Ryung Han
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

9.  Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels.

Authors:  Hui Li; Zhiyu Peng; Xiaohong Yang; Weidong Wang; Junjie Fu; Jianhua Wang; Yingjia Han; Yuchao Chai; Tingting Guo; Ning Yang; Jie Liu; Marilyn L Warburton; Yanbing Cheng; Xiaomin Hao; Pan Zhang; Jinyang Zhao; Yunjun Liu; Guoying Wang; Jiansheng Li; Jianbing Yan
Journal:  Nat Genet       Date:  2012-12-16       Impact factor: 38.330

Review 10.  Modeling Alzheimer's disease with human induced pluripotent stem (iPS) cells.

Authors:  Alison E Mungenast; Sandra Siegert; Li-Huei Tsai
Journal:  Mol Cell Neurosci       Date:  2015-12-04       Impact factor: 4.314

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