ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    facet.materialart.
    Unknown
    Common regulatory variation impacts gene expression in a cell type-dependent manner (2009)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2009-08-01
    Description: Studies correlating genetic variation to gene expression facilitate the interpretation of common human phenotypes and disease. As functional variants may be operating in a tissue-dependent manner, we performed gene expression profiling and association with genetic variants (single-nucleotide polymorphisms) on three cell types of 75 individuals. We detected cell type-specific genetic effects, with 69 to 80% of regulatory variants operating in a cell type-specific manner, and identified multiple expressive quantitative trait loci (eQTLs) per gene, unique or shared among cell types and positively correlated with the number of transcripts per gene. Cell type-specific eQTLs were found at larger distances from genes and at lower effect size, similar to known enhancers. These data suggest that the complete regulatory variant repertoire can only be uncovered in the context of cell-type specificity.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2867218/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2867218/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dimas, Antigone S -- Deutsch, Samuel -- Stranger, Barbara E -- Montgomery, Stephen B -- Borel, Christelle -- Attar-Cohen, Homa -- Ingle, Catherine -- Beazley, Claude -- Gutierrez Arcelus, Maria -- Sekowska, Magdalena -- Gagnebin, Marilyne -- Nisbett, James -- Deloukas, Panos -- Dermitzakis, Emmanouil T -- Antonarakis, Stylianos E -- 077011/Wellcome Trust/United Kingdom -- 077046/Wellcome Trust/United Kingdom -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2009 Sep 4;325(5945):1246-50. doi: 10.1126/science.1174148. Epub 2009 Jul 30.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, CB10 1HH, Cambridge, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19644074" target="_blank"〉PubMed〈/a〉
    Keywords: Allelic Imbalance ; B-Lymphocytes ; Cell Line ; Enhancer Elements, Genetic ; Fibroblasts ; Gene Expression Profiling ; *Gene Expression Regulation ; Gene Frequency ; Genotype ; Humans ; *Polymorphism, Single Nucleotide ; *Quantitative Trait Loci ; RNA, Messenger/genetics/metabolism ; *Regulatory Elements, Transcriptional ; Statistics, Nonparametric ; T-Lymphocytes
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
  • 2
    facet.materialart.
    Unknown
    Relative impact of nucleotide and copy number variation on gene expression phenotypes (2007)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2007-02-10
    Description: Extensive studies are currently being performed to associate disease susceptibility with one form of genetic variation, namely, single-nucleotide polymorphisms (SNPs). In recent years, another type of common genetic variation has been characterized, namely, structural variation, including copy number variants (CNVs). To determine the overall contribution of CNVs to complex phenotypes, we have performed association analyses of expression levels of 14,925 transcripts with SNPs and CNVs in individuals who are part of the International HapMap project. SNPs and CNVs captured 83.6% and 17.7% of the total detected genetic variation in gene expression, respectively, but the signals from the two types of variation had little overlap. Interrogation of the genome for both types of variants may be an effective way to elucidate the causes of complex phenotypes and disease in humans.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2665772/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2665772/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stranger, Barbara E -- Forrest, Matthew S -- Dunning, Mark -- Ingle, Catherine E -- Beazley, Claude -- Thorne, Natalie -- Redon, Richard -- Bird, Christine P -- de Grassi, Anna -- Lee, Charles -- Tyler-Smith, Chris -- Carter, Nigel -- Scherer, Stephen W -- Tavare, Simon -- Deloukas, Panagiotis -- Hurles, Matthew E -- Dermitzakis, Emmanouil T -- 065535/Wellcome Trust/United Kingdom -- 076113/Wellcome Trust/United Kingdom -- 077009/Wellcome Trust/United Kingdom -- 077014/Wellcome Trust/United Kingdom -- 077046/Wellcome Trust/United Kingdom -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2007 Feb 9;315(5813):848-53.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17289997" target="_blank"〉PubMed〈/a〉
    Keywords: Cell Line ; Female ; Gene Deletion ; *Gene Dosage ; Gene Duplication ; *Gene Expression Regulation ; *Genetic Variation ; Genetics, Population ; *Genome, Human ; Genomics/methods ; Haplotypes ; Humans ; Linkage Disequilibrium ; Male ; Mutation ; Nucleic Acid Hybridization ; Phenotype ; *Polymorphism, Single Nucleotide ; Regression Analysis
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...