Evidence map›Paper›PMID 15060005›Full record

ArticleGenome research2004

Identification of candidate disease genes by EST alignments, synteny, and expression and verification of Ensembl genes on rat chromosome 1q43-54.

Ursula Vitt, Darryl Gietzen, Kristian Stevens, Jim Wingrove, Shanya Becha, Sean Bulloch, John Burrill, Narinder Chawla, Jennifer Chien, Matthew Crawford and 14 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Genome research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 2 institutions in 1 country.

Ursula VittIncyte Corporation, Palo Alto, California 94304, USA. uvitt@incyte.com
Darryl Gietzen
Kristian Stevens
Jim Wingrove
Shanya Becha
Sean Bulloch
John Burrill
Narinder Chawla
Jennifer Chien
Matthew Crawford
Craig Ison
Liam Kearney
Mary Kwong
Joe Park
Jennifer Policky
Mark Weiler
Renee White
Yuming Xu
Sue Daniels
Howard Jacob
Michael I Jensen-Seaman
Jozef Lazar
Laura Stuve
Jeanette Schmidt
Incyte (United States) · USMedical College of Wisconsin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aligned Incyte ESTs and publicly available sequences to the rat genome and analyzed rat chromosome 1q43-54, a region in which several quantitative trait loci (QTLs) have been identified, including renal disease, diabetes, hypertension, body weight, and encephalomyelitis. Within this region, which contains 255 Ensembl gene predictions, the aligned sequences clustered into 568 Incyte genes and gene fragments. Of the Incyte genes, 261 (46%) overlapped 184 (72%) of the Ensembl gene predictions, whereas 307 were unique to Incyte. The rat-to-human syntenic map displays rearrangement of this region on rat chr. 1 onto human chromosomes 9 and 10. The mapping of corresponding human disease phenotypes to either one of these chromosomes has allowed us to focus in on genes associated with disease phenotypes. As an example, we have used the syntenic information for the rat Rf-1 disease region and the orthologous human ESRD disease region to reduce the size of the original rat QTL to only 11.5 Mb. Using the syntenic information in combination with expression data from ESTs and microarrays, we have selected a set of 66 candidate disease genes for Rf-1. The combination of the results from these different analyses represents a powerful approach for narrowing the number of genes that could play a role in the development of complex diseases.

Indexed as

Expressed Sequence TagsAnimalsBlotting, NorthernChromosomesComputational BiologyDatabases, GeneticDiabetes MellitusEncephalomyelitisFemaleGene Expression ProfilingGene Expression RegulationGenes, OverlappingHumansHypertensionKidney DiseasesMale

Identifiers

PMID15060005
PMCPMC383308
OpenAlexW2105070654

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.