Literature DB >> 16783631

Expression genetics and the phenotype revolution.

Robert W Williams1.   

Abstract

Genetic analysis of variation demands large numbers of individuals and even larger numbers of genotypes. The identification of alleles associated with Mendelian disorders has involved sample sizes of a thousand or more. Pervasive and common diseases that afflict human populations--cancer, heart disease, diabetes, neurodegeneration, addiction--are all polygenic and are even more demanding of large numbers. DeCode Genetics (http://www.decode.com) has harnessed the human resources of Iceland to unravel genetic and molecular causes of complex disease. The UK BioBank project (http://www.ukbiobank.ac.uk/) will incorporate 500,000 adult volunteers. The murine Collaborative Cross is the experimental equivalent of these human populations and will consist of a panel of approximately 1000 recombinant strains, expandable by intercrossing to much larger numbers of isogenic but heterozygous F(1)s. Massive projects of these types require efficient technologies. We have made enormous progress on the genotyping front, and it is now important to focus energy on devising ultrahigh-throughput methods to phenotype. Molecular phenotyping of the transcriptome has matured, and it is now possible to acquire hundreds of thousands of mRNA phenotypes at a cost matching those of SNPs. Proteomic and cell-based assays are also maturing rapidly. The acquisition of a personal genome along with a personal molecular phenome will provide an effective foundation for personalized medicine. Rodent models will be essential to test our ability to predict susceptibility and disease outcome using SNP data, molecular phenomes, and environmental exposures. These models will also be essential to test new treatments in a robust systems context that accounts for genetic variation.

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Year:  2006        PMID: 16783631     DOI: 10.1007/s00335-006-0006-x

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  44 in total

1.  Pleiotropy, homeostasis, and functional networks based on assays of cardiovascular traits in genetically randomized populations.

Authors:  Joseph H Nadeau; Lindsay C Burrage; Joe Restivo; Yoh-Han Pao; Gary Churchill; Brian D Hoit
Journal:  Genome Res       Date:  2003-09       Impact factor: 9.043

2.  WebQTL: web-based complex trait analysis.

Authors:  Jintao Wang; Robert W Williams; Kenneth F Manly
Journal:  Neuroinformatics       Date:  2003

3.  On the integration of alcohol-related quantitative trait loci and gene expression analyses.

Authors:  Robert Hitzemann; Cheryl Reed; Barry Malmanger; Maureen Lawler; Barbara Hitzemann; Brendan Cunningham; Shannon McWeeney; John Belknap; Christina Harrington; Kari Buck; Tamara Phillips; John Crabbe
Journal:  Alcohol Clin Exp Res       Date:  2004-10       Impact factor: 3.455

4.  Uncovering regulatory pathways that affect hematopoietic stem cell function using 'genetical genomics'.

Authors:  Leonid Bystrykh; Ellen Weersing; Bert Dontje; Sue Sutton; Mathew T Pletcher; Tim Wiltshire; Andrew I Su; Edo Vellenga; Jintao Wang; Kenneth F Manly; Lu Lu; Elissa J Chesler; Rudi Alberts; Ritsert C Jansen; Robert W Williams; Michael P Cooke; Gerald de Haan
Journal:  Nat Genet       Date:  2005-02-13       Impact factor: 38.330

5.  Centre d'etude du polymorphisme humain (CEPH): collaborative genetic mapping of the human genome.

Authors:  J Dausset; H Cann; D Cohen; M Lathrop; J M Lalouel; R White
Journal:  Genomics       Date:  1990-03       Impact factor: 5.736

6.  Quantitative trait loci underlying gene product variation: a novel perspective for analyzing regulation of genome expression.

Authors:  C Damerval; A Maurice; J M Josse; D de Vienne
Journal:  Genetics       Date:  1994-05       Impact factor: 4.562

Review 7.  Genotypes and phenotypes.

Authors:  J Klose
Journal:  Electrophoresis       Date:  1999 Apr-May       Impact factor: 3.535

8.  Protein changes in response to progressive water deficit in maize . Quantitative variation and polypeptide identification

Authors: 
Journal:  Plant Physiol       Date:  1998-08       Impact factor: 8.340

9.  Integrated transcriptional profiling and linkage analysis for identification of genes underlying disease.

Authors:  Norbert Hubner; Caroline A Wallace; Heike Zimdahl; Enrico Petretto; Herbert Schulz; Fiona Maciver; Michael Mueller; Oliver Hummel; Jan Monti; Vaclav Zidek; Alena Musilova; Vladimir Kren; Helen Causton; Laurence Game; Gabriele Born; Sabine Schmidt; Anita Müller; Stuart A Cook; Theodore W Kurtz; John Whittaker; Michal Pravenec; Timothy J Aitman
Journal:  Nat Genet       Date:  2005-02-13       Impact factor: 38.330

10.  A new set of BXD recombinant inbred lines from advanced intercross populations in mice.

Authors:  Jeremy L Peirce; Lu Lu; Jing Gu; Lee M Silver; Robert W Williams
Journal:  BMC Genet       Date:  2004-04-29       Impact factor: 2.797

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  6 in total

1.  Engineered heart tissue: high throughput platform for dissection of complex diseases.

Authors:  Jozef Lazar; Howard J Jacob; Tetsuro Wakatsuki
Journal:  J Cardiovasc Transl Res       Date:  2008-05-10       Impact factor: 4.132

Review 2.  Sharing and reusing gene expression profiling data in neuroscience.

Authors:  Xiang Wan; Paul Pavlidis
Journal:  Neuroinformatics       Date:  2007

3.  Headlong into a genomic singularity.

Authors:  Robert W Williams
Journal:  Front Neurosci       Date:  2010-02-03       Impact factor: 4.677

Review 4.  Revealing the architecture of gene regulation: the promise of eQTL studies.

Authors:  Yoav Gilad; Scott A Rifkin; Jonathan K Pritchard
Journal:  Trends Genet       Date:  2008-07-01       Impact factor: 11.639

5.  Association between the -1438G/A and T102C polymorphisms of 5-HT2A receptor gene and obstructive sleep apnea: a meta-analysis.

Authors:  Ying Wu; Hong-Bing Liu; Ming Ding; Jian-Nan Liu; Xuan-Feng Zhu; Jian-Hua Gu; Gan Lu
Journal:  Mol Biol Rep       Date:  2013-09-25       Impact factor: 2.316

6.  Natural genetic variation impacts expression levels of coding, non-coding, and antisense transcripts in fission yeast.

Authors:  Mathieu Clément-Ziza; Francesc X Marsellach; Sandra Codlin; Manos A Papadakis; Susanne Reinhardt; María Rodríguez-López; Stuart Martin; Samuel Marguerat; Alexander Schmidt; Eunhye Lee; Christopher T Workman; Jürg Bähler; Andreas Beyer
Journal:  Mol Syst Biol       Date:  2014-11-28       Impact factor: 11.429

  6 in total

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