Literature DB >> 19808798

The resolution of the genetics of gene expression.

Stephen B Montgomery1, Emmanouil T Dermitzakis.   

Abstract

Understanding the influence of genetics on the molecular mechanisms underpinning human phenotypic diversity is fundamental to being able to predict health outcomes and treat disease. To interrogate the role of genetics on cellular state and function, gene expression has been extensively used. Past and present studies have highlighted important patterns of heritability, population differentiation and tissue-specificity in gene expression. Current and future studies are taking advantage of systems biology-based approaches and advances in sequencing technology: new methodology aims to translate regulatory networks to enrich pathways responsible for disease etiology and 2nd generation sequencing now offers single-molecular resolution of the transcriptome providing unprecedented information on the structural and genetic characteristics of gene expression. Such advances are leading to a future where rich cellular phenotypes will facilitate understanding of the transmission of genetic effect from the gene to organism.

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Year:  2009        PMID: 19808798     DOI: 10.1093/hmg/ddp400

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  14 in total

1.  HEFT: eQTL analysis of many thousands of expressed genes while simultaneously controlling for hidden factors.

Authors:  Chuan Gao; Nicole L Tignor; Jacqueline Salit; Yael Strulovici-Barel; Neil R Hackett; Ronald G Crystal; Jason G Mezey
Journal:  Bioinformatics       Date:  2013-12-04       Impact factor: 6.937

2.  Heritable individual-specific and allele-specific chromatin signatures in humans.

Authors:  Ryan McDaniell; Bum-Kyu Lee; Lingyun Song; Zheng Liu; Alan P Boyle; Michael R Erdos; Laura J Scott; Mario A Morken; Katerina S Kucera; Anna Battenhouse; Damian Keefe; Francis S Collins; Huntington F Willard; Jason D Lieb; Terrence S Furey; Gregory E Crawford; Vishwanath R Iyer; Ewan Birney
Journal:  Science       Date:  2010-03-18       Impact factor: 47.728

3.  Expression quantitative trait loci: replication, tissue- and sex-specificity in mice.

Authors:  Atila van Nas; Leslie Ingram-Drake; Janet S Sinsheimer; Susanna S Wang; Eric E Schadt; Thomas Drake; Aldons J Lusis
Journal:  Genetics       Date:  2010-05-03       Impact factor: 4.562

4.  Transcriptome study of differential expression in schizophrenia.

Authors:  Alan R Sanders; Harald H H Göring; Jubao Duan; Eugene I Drigalenko; Winton Moy; Jessica Freda; Deli He; Jianxin Shi; Pablo V Gejman
Journal:  Hum Mol Genet       Date:  2013-07-30       Impact factor: 6.150

5.  New approaches to Prunus transcriptome analysis.

Authors:  Pedro Martínez-Gómez; Carlos H Crisosto; Claudio Bonghi; Manuel Rubio
Journal:  Genetica       Date:  2011-05-17       Impact factor: 1.633

6.  Analysis of immune-related ESTs and differential expression analysis of few important genes in lines of rohu (Labeo rohita) selected for resistance and susceptibility to Aeromonas hydrophila infection.

Authors:  Sweta Das; Chiranjibi Chhottaray; Kanta Das Mahapatra; Jatindra Nath Saha; Matthew Baranski; Nicholas Robinson; P K Sahoo
Journal:  Mol Biol Rep       Date:  2014-08-01       Impact factor: 2.316

7.  Leukocyte-specific protein 1 regulates T-cell migration in rheumatoid arthritis.

Authors:  Seong-Hye Hwang; Seung-Hyun Jung; Saseong Lee; Susanna Choi; Seung-Ah Yoo; Ji-Hwan Park; Daehee Hwang; Seung Cheol Shim; Laurent Sabbagh; Ki-Jo Kim; Sung Hwan Park; Chul-Soo Cho; Bong-Sung Kim; Lin Leng; Ruth R Montgomery; Richard Bucala; Yeun-Jun Chung; Wan-Uk Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-09       Impact factor: 11.205

8.  Joint genetic analysis of gene expression data with inferred cellular phenotypes.

Authors:  Leopold Parts; Oliver Stegle; John Winn; Richard Durbin
Journal:  PLoS Genet       Date:  2011-01-20       Impact factor: 5.917

9.  Model Misinterpretation within Biology: Phenotypes, Statistics, Networks, and Inference.

Authors:  Daniel J Kliebenstein
Journal:  Front Plant Sci       Date:  2012-01-31       Impact factor: 5.753

10.  Genome-wide haplotype analysis of cis expression quantitative trait loci in monocytes.

Authors:  Sophie Garnier; Vinh Truong; Jessy Brocheton; Tanja Zeller; Maxime Rovital; Philipp S Wild; Andreas Ziegler; Thomas Munzel; Laurence Tiret; Stefan Blankenberg; Panos Deloukas; Jeannette Erdmann; Christian Hengstenberg; Nilesh J Samani; Heribert Schunkert; Willem H Ouwehand; Alison H Goodall; François Cambien; David-Alexandre Trégouët
Journal:  PLoS Genet       Date:  2013-01-31       Impact factor: 5.917

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