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Unique Alterations of an Ultraconserved Non-Coding Element in the 3′UTR of ZIC2 in Holoprosencephaly

Overview of attention for article published in PLOS ONE, July 2012
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Title
Unique Alterations of an Ultraconserved Non-Coding Element in the 3′UTR of ZIC2 in Holoprosencephaly
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0039026
Pubmed ID
Authors

Erich Roessler, Ping Hu, Sung-Kook Hong, Kshitij Srivastava, Blake Carrington, Raman Sood, Hanna Petrykowska, Laura Elnitski, Lucilene A. Ribeiro, Antonio Richieri-Costa, Benjamin Feldman, Ward F. Odenwald, Maximilian Muenke

Abstract

Coding region alterations of ZIC2 are the second most common type of mutation in holoprosencephaly (HPE). Here we use several complementary bioinformatic approaches to identify ultraconserved cis-regulatory sequences potentially driving the expression of human ZIC2. We demonstrate that an 804 bp element in the 3' untranslated region (3'UTR) is highly conserved across the evolutionary history of vertebrates from fish to humans. Furthermore, we show that while genetic variation of this element is unexpectedly common among holoprosencephaly subjects (6/528 or >1%), it is not present in control individuals. Two of six proband-unique variants are de novo, supporting their pathogenic involvement in HPE outcomes. These findings support a general recommendation that the identification and analysis of key ultraconserved elements should be incorporated into the genetic risk assessment of holoprosencephaly cases.

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The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Professor > Associate Professor 4 14%
Researcher 3 10%
Student > Master 3 10%
Student > Doctoral Student 1 3%
Other 4 14%
Unknown 8 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 31%
Biochemistry, Genetics and Molecular Biology 7 24%
Medicine and Dentistry 2 7%
Engineering 1 3%
Unknown 10 34%