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PMID: 18055845 Published · ppublish English Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Computational and experimental identification of novel human imprinted genes.

Genome research ·Vol. 17 ·No. 12 ·2007-12-00 ·Pages 1723-30

Luedi PP, Dietrich FS, Weidman JR, Bosko JM, Jirtle RL, Hartemink AJ

Abstract

Imprinted genes are essential in embryonic development, and imprinting dysregulation contributes to human disease. We report two new human imprinted genes: KCNK9 is predominantly expressed in the brain, is a known oncogene, and may be involved in bipolar disorder and epilepsy, while DLGAP2 is a candidate bladder cancer tumor suppressor. Both genes lie on chromosome 8, not previously suspected to contain imprinted genes. We identified these genes, along with 154 others, based on the predictions of multiple classification algorithms using DNA sequence characteristics as features. Our findings demonstrate that DNA sequence characteristics, including recombination hot spots, are sufficient to accurately predict the imprinting status of individual genes in the human genome.

MeSH Terms
Algorithms Chromosome Mapping Computational Biology/methods Female Genome, Human/physiology Genomic Imprinting Humans Male
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Luedi Philippe P
Center for Bioinformatics and Computational Biology, Duke University, Durham, North Carolina 27708, USA.
Dietrich Fred S
Weidman Jennifer R
Bosko Jason M
Jirtle Randy L
Hartemink Alexander J
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Article Info
Journal
Genome research
Abbr.
Genome Res
ISSN
1088-9051
DOI
10.1101/gr.6584707
Published
2007-12-00
Epub
2007-00-30
Pages
1723-30
Language
English
Region
United States
NLM ID
9518021
PMCID
PMC2099581
Subset
IM
Grants
NIEHS NIH HHS · R01 ES015165 · United States
NIEHS NIH HHS · R21 ES013053 · United States
NIEHS NIH HHS · T32 ES007031 · United States
NIEHS NIH HHS · T32ES07031 · United States
NIEHS NIH HHS · ES015165 · United States
NIEHS NIH HHS · ES13053 · United States
External Links
PubMed source DOI: 10.1101/gr.6584707 PMC Full Text View journal details
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