Literature DB >> 23616472

Analysis of sequence variation underlying tissue-specific transcription factor binding and gene expression.

Karen M Lower1, Marco De Gobbi, Jim R Hughes, Christopher J Derry, Helena Ayyub, Jacqueline A Sloane-Stanley, Douglas Vernimmen, David Garrick, Richard J Gibbons, Douglas R Higgs.   

Abstract

Although mutations causing monogenic disorders most frequently lie within the affected gene, sequence variation in complex disorders is more commonly found in noncoding regions. Furthermore, recent genome- wide studies have shown that common DNA sequence variants in noncoding regions are associated with "normal" variation in gene expression resulting in cell-specific and/or allele-specific differences. The mechanism by which such sequence variation causes changes in gene expression is largely unknown. We have addressed this by studying natural variation in the binding of key transcription factors (TFs) in the well-defined, purified cell system of erythropoiesis. We have shown that common polymorphisms frequently directly perturb the binding sites of key TFs, and detailed analysis shows how this causes considerable (~10-fold) changes in expression from a single allele in a tissue-specific manner. We also show how a SNP, located at some distance from the recognized TF binding site, may affect the recruitment of a large multiprotein complex and alter the associated chromatin modification of the variant regulatory element. This study illustrates the principles by which common sequence variation may cause changes in tissue-specific gene expression, and suggests that such variation may underlie an individual's propensity to develop complex human genetic diseases.
© 2013 WILEY PERIODICALS, INC.

Entities:  

Keywords:  allele specific; polymorphism; transcription factor binding; transcriptional regulation

Mesh:

Substances:

Year:  2013        PMID: 23616472     DOI: 10.1002/humu.22343

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  7 in total

1.  HBS1L-MYB intergenic variants modulate fetal hemoglobin via long-range MYB enhancers.

Authors:  Ralph Stadhouders; Suleyman Aktuna; Supat Thongjuea; Ali Aghajanirefah; Farzin Pourfarzad; Wilfred van Ijcken; Boris Lenhard; Helen Rooks; Steve Best; Stephan Menzel; Frank Grosveld; Swee Lay Thein; Eric Soler
Journal:  J Clin Invest       Date:  2014-03-10       Impact factor: 14.808

Review 2.  Uncovering enhancer functions using the α-globin locus.

Authors:  Douglas Vernimmen
Journal:  PLoS Genet       Date:  2014-10-16       Impact factor: 5.917

Review 3.  Beyond Endometriosis Genome-Wide Association Study: From Genomics to Phenomics to the Patient.

Authors:  Krina T Zondervan; Nilufer Rahmioglu; Andrew P Morris; Dale R Nyholt; Grant W Montgomery; Christian M Becker; Stacey A Missmer
Journal:  Semin Reprod Med       Date:  2016-08-11       Impact factor: 1.303

4.  Transcription factor motif quality assessment requires systematic comparative analysis.

Authors:  Caleb Kipkurui Kibet; Philip Machanick
Journal:  F1000Res       Date:  2015-12-11

5.  Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints.

Authors:  Ron Schwessinger; Maria C Suciu; Simon J McGowan; Jelena Telenius; Stephen Taylor; Doug R Higgs; Jim R Hughes
Journal:  Genome Res       Date:  2017-09-13       Impact factor: 9.043

6.  A catalog of potential putative functional variants in psoriasis genome-wide association regions.

Authors:  Yan Lin; Lu Liu; Yujun Sheng; Changbing Shen; Xiaodong Zheng; Fusheng Zhou; Sen Yang; Xianyong Yin; Xuejun Zhang
Journal:  PLoS One       Date:  2018-05-01       Impact factor: 3.240

7.  Rare variants in non-coding regulatory regions of the genome that affect gene expression in systemic lupus erythematosus.

Authors:  Sarah A Jones; Stuart Cantsilieris; Huapeng Fan; Qiang Cheng; Brendan E Russ; Elena J Tucker; James Harris; Ina Rudloff; Marcel Nold; Melissa Northcott; Wendy Dankers; Andrew E J Toh; Stefan J White; Eric F Morand
Journal:  Sci Rep       Date:  2019-10-28       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.