Literature DB >> 14583597

A survey of genetic and epigenetic variation affecting human gene expression.

Tomi Pastinen1, Robert Sladek, Scott Gurd, Alya'a Sammak, Bing Ge, Pierre Lepage, Karine Lavergne, Amelie Villeneuve, Tiffany Gaudin, Helena Brändström, Allon Beck, Andrei Verner, Jade Kingsley, Eef Harmsen, Damian Labuda, Kenneth Morgan, Marie-Claude Vohl, Anna K Naumova, Daniel Sinnett, Thomas J Hudson.   

Abstract

The identification of human sequence polymorphisms that regulate gene expression is key to understanding human genetic diseases. We report a survey of human genes that demonstrate allelic differences in gene expression, reflecting the presence of putative allele-specific cis-acting factors of either genetic or epigenetic nature. The expression of allelic transcripts in heterozygous samples is assessed directly by relative quantitation of intragenic marker alleles in messenger or heteronuclear RNA derived from cells or tissues. This survey used 193 single-nucleotide polymorphisms (SNPs) from 129 genes expressed in lymphoblastoid cell lines, to identify 23 genes (18%) with common allele-specific transcripts whose expression deviated from the expected equimolar ratio. A subset of these deviations, or "allelic imbalances," can be observed in multiple samples derived from reference CEPH ("Centre d'Etude du Polymorphisme Humain") pedigrees and demonstrate a spectrum of patterns of transmission, including cosegregation of allelic skewing across generations compatible with Mendelian inheritance as well as random monoallelic expression for three genes (IL1A, HTR2A, and FGB). Additional studies for BTN3A2 provide evidence of SNPs and haplotypes in complete linkage disequilibrium with high- and low-expressing transcripts. The pipeline described herein offers tools for efficient identification and characterization of allelic expression allowing identification of regulatory sequence variants as well as epigenetic variation affecting human gene expression.

Entities:  

Mesh:

Year:  2004        PMID: 14583597     DOI: 10.1152/physiolgenomics.00163.2003

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  100 in total

1.  Identification and resolution of artifacts in the interpretation of imprinted gene expression.

Authors:  Charlotte Proudhon; Déborah Bourc'his
Journal:  Brief Funct Genomics       Date:  2010-09-08       Impact factor: 4.241

2.  The obesity-associated SNPs in intron 1 of the FTO gene affect primary transcript levels.

Authors:  Tea Berulava; Bernhard Horsthemke
Journal:  Eur J Hum Genet       Date:  2010-05-26       Impact factor: 4.246

Review 3.  Genome-wide association studies--data generation, storage, interpretation, and bioinformatics.

Authors:  Guillaume Pare
Journal:  J Cardiovasc Transl Res       Date:  2010-04-08       Impact factor: 4.132

4.  Prenatal Depression and Infant Temperament: The Moderating Role of Placental Gene Expression.

Authors:  Wei Zhang; Jackie Finik; Kathryn Dana; Vivette Glover; Jacob Ham; Yoko Nomura
Journal:  Infancy       Date:  2017-10-05

5.  Identification of quantitative trait loci underlying proteome variation in human lymphoblastoid cells.

Authors:  Nikhil Garge; Huaqin Pan; Megan D Rowland; Benjamin J Cargile; Xinxin Zhang; Phillip C Cooley; Grier P Page; Maureen K Bunger
Journal:  Mol Cell Proteomics       Date:  2010-02-23       Impact factor: 5.911

6.  Survey of allelic expression using EST mining.

Authors:  Bing Ge; Scott Gurd; Tiffany Gaudin; Carole Dore; Pierre Lepage; Eef Harmsen; Thomas J Hudson; Tomi Pastinen
Journal:  Genome Res       Date:  2005-11       Impact factor: 9.043

Review 7.  Noise in gene expression: origins, consequences, and control.

Authors:  Jonathan M Raser; Erin K O'Shea
Journal:  Science       Date:  2005-09-23       Impact factor: 47.728

Review 8.  Genetic variation in human gene expression.

Authors:  Emmanouil T Dermitzakis; Barbara E Stranger
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

9.  Cis-transcriptional variation in maize inbred lines B73 and Mo17 leads to additive expression patterns in the F1 hybrid.

Authors:  Robert M Stupar; Nathan M Springer
Journal:  Genetics       Date:  2006-05-15       Impact factor: 4.562

10.  Common genetic variants account for differences in gene expression among ethnic groups.

Authors:  Richard S Spielman; Laurel A Bastone; Joshua T Burdick; Michael Morley; Warren J Ewens; Vivian G Cheung
Journal:  Nat Genet       Date:  2007-01-07       Impact factor: 38.330

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.