Successful computational prediction of novel imprinted genes from epigenomic features

Chelsea M. Brideau, Kirsten E. Eilertson, James A. Hagarman, Carlos D. Bustamante, Paul D. Soloway

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Approximately 100 mouse genes undergo genomic imprinting, whereby one of the two parental alleles is epigenetically silenced. Imprinted genes influence processes including development, X chromosome inactivation, obesity, schizophrenia, and diabetes, motivating the identification of all imprinted loci. Local sequence features have been used to predict candidate imprinted genes, but rigorous testing using reciprocal crosses validated only three, one of which resided in previously identified imprinting clusters. Here we show that specific epigenetic features in mouse cells correlate with imprinting status in mice, and we identify hundreds of additional genes predicted to be imprinted in the mouse. We used a multitiered approach to validate imprinted expression, including use of a custom single nucleotide polymorphism array and traditional molecular methods. Of 65 candidates subjected to molecular assays for allele-specific expression, we found 10 novel imprinted genes that were maternally expressed in the placenta.

Original languageEnglish (US)
Pages (from-to)3357-3370
Number of pages14
JournalMolecular and cellular biology
Volume30
Issue number13
DOIs
StatePublished - Jul 2010

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Cell Biology

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