Literature DB >> 12436242

A novel approach for identifying candidate imprinted genes through sequence analysis of imprinted and control genes.

Xiayi Ke1, N Simon Thomas, David O Robinson, Andrew Collins.   

Abstract

Through the sequence analysis of 27 imprinted human genes and a set of 100 control genes we have developed a novel approach for identifying candidate imprinted genes based on the differences in sequence composition observed. The imprinted genes were found to be associated with significantly reduced numbers of short interspersed transposable element (SINE) Alus and mammalian-wide interspersed repeat (MIR) repeat elements, as previously reported. In addition, a significant association between imprinted genes and increased numbers of low-complexity repeats was also evident. Numbers of the Alu classes AluJ and AluS were found to be significantly depleted in some parts of the flanking regions of imprinted genes. A recent study has proposed that there is active selection against SINE elements in imprinted regions. Alternatively, there may be differences in the rates of insertion of Alu elements. Our study indicates that this difference extends both upstream and downstream of the coding region. This and other consistent differences between the sequence characteristics of imprinted and control genes has enabled us to develop discriminant analysis, which can be used to screen the genome for candidate imprinted genes. We have applied this function to a number of genes whose imprinting status is disputed or uncertain.

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Year:  2002        PMID: 12436242     DOI: 10.1007/s00439-002-0822-3

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  8 in total

1.  CG dinucleotide periodicities recognized by the Dnmt3a-Dnmt3L complex are distinctive at retroelements and imprinted domains.

Authors:  Jacob L Glass; Melissa J Fazzari; Anne C Ferguson-Smith; John M Greally
Journal:  Mamm Genome       Date:  2009-11-17       Impact factor: 2.957

Review 2.  Using next-generation RNA sequencing to identify imprinted genes.

Authors:  X Wang; A G Clark
Journal:  Heredity (Edinb)       Date:  2014-03-12       Impact factor: 3.821

3.  Short interspersed element (SINE) depletion and long interspersed element (LINE) abundance are not features universally required for imprinting.

Authors:  Michael Cowley; Anna de Burca; Ruth B McCole; Mandeep Chahal; Ghazal Saadat; Rebecca J Oakey; Reiner Schulz
Journal:  PLoS One       Date:  2011-04-20       Impact factor: 3.240

4.  Imprinting of cerebral and hepatic cytochrome p450s in rat offsprings exposed prenatally to low doses of cypermethrin.

Authors:  Anshuman Singh; Sanjay Yadav; Vikas Srivastava; Rakesh Kumar; Dhirendra Singh; Rao Sethumadhavan; Devendra Parmar
Journal:  Mol Neurobiol       Date:  2013-02-28       Impact factor: 5.590

5.  EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data.

Authors:  Christoph Bock; Konstantin Halachev; Joachim Büch; Thomas Lengauer
Journal:  Genome Biol       Date:  2009-02-10       Impact factor: 13.583

6.  Imprinted genes show unique patterns of sequence conservation.

Authors:  Barbara Hutter; Matthias Bieg; Volkhard Helms; Martina Paulsen
Journal:  BMC Genomics       Date:  2010-11-22       Impact factor: 3.969

7.  Paternal imprinting of the SLC22A1LS gene located in the human chromosome segment 11p15.5.

Authors:  Vineeta Bajaj; Manjunath Markandaya; Lingegowda Krishna; Arun Kumar
Journal:  BMC Genet       Date:  2004-06-03       Impact factor: 2.797

8.  A first-stage approximation to identify new imprinted genes through sequence analysis of its coding regions.

Authors:  Elias Daura-Oller; Maria Cabré; Miguel A Montero; José L Paternáin; Antoni Romeu
Journal:  Comp Funct Genomics       Date:  2009-04-08
  8 in total

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