rdf:type |
|
lifeskim:mentions |
umls-concept:C0006556,
umls-concept:C0017337,
umls-concept:C0020792,
umls-concept:C0025914,
umls-concept:C0026809,
umls-concept:C0086418,
umls-concept:C0150098,
umls-concept:C0185115,
umls-concept:C0205460,
umls-concept:C1533716,
umls-concept:C1706233,
umls-concept:C1707535
|
pubmed:issue |
1
|
pubmed:dateCreated |
2004-6-7
|
pubmed:abstractText |
A major goal in the post-genomic era is to identify and characterise disease susceptibility genes and to apply this knowledge to disease prevention and treatment. Rodents and humans have remarkably similar genomes and share closely related biochemical, physiological and pathological pathways. In this work we utilised the latest information on the mouse transcriptome as revealed by the RIKEN FANTOM2 project to identify novel human disease-related candidate genes. We define a new term "patholog" to mean a homolog of a human disease-related gene encoding a product (transcript, anti-sense or protein) potentially relevant to disease. Rather than just focus on Mendelian inheritance, we applied the analysis to all potential pathologs regardless of their inheritance pattern.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-10354467,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-10647931,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-10731134,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-11217851,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-11237011,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-11381037,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-11595181,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-11689335,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-11752242,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-11752252,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-11752273,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-11752296,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-11882781,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-12045008,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-12134060,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-12134146,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-12466851,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-12819148,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-12819150,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-12819151,
http://linkedlifedata.com/resource/pubmed/commentcorrection/15115540-9853834
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pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:chemical |
|
pubmed:status |
MEDLINE
|
pubmed:month |
Apr
|
pubmed:issn |
1471-2164
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pubmed:author |
|
pubmed:issnType |
Electronic
|
pubmed:day |
29
|
pubmed:volume |
5
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
28
|
pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:15115540-Animals,
pubmed-meshheading:15115540-Computational Biology,
pubmed-meshheading:15115540-DNA, Complementary,
pubmed-meshheading:15115540-Databases, Genetic,
pubmed-meshheading:15115540-Genetic Diseases, Inborn,
pubmed-meshheading:15115540-Genetic Predisposition to Disease,
pubmed-meshheading:15115540-Humans,
pubmed-meshheading:15115540-Information Systems,
pubmed-meshheading:15115540-Mice,
pubmed-meshheading:15115540-Neoplasms
|
pubmed:year |
2004
|
pubmed:articleTitle |
Identification of "pathologs" (disease-related genes) from the RIKEN mouse cDNA dataset using human curation plus FACTS, a new biological information extraction system.
|
pubmed:affiliation |
Medical Informatics Centre, University of Canberra, ACT 2601 Australia. diego.silva@anu.edu.au
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't
|