Evidence map›Paper›PMID 16757574›Full record

ArticleNucleic acids research2006

Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.

Nicki Tiffin, Euan Adie, Frances Turner, Han G Brunner, Marc A van Driel, Martin Oti, Nuria Lopez-Bigas, Christos Ouzounis, Carolina Perez-Iratxeta, Miguel A Andrade-Navarro and 4 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 3% of its field
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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 144 citations in OpenAlex.

  1. Pooled it
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  7. The pattern of plasma BCAA concentration and liverAnimal models and experimental medicine · 2018
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4 more citing papers are in PubMed but not listed here.

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

14 authors at 1 institution in 1 country.

Nicki TiffinSouth African National Bioinformatics Institute, University of the Western Cape, Bellville, 7535, South Africa. nicki@sanbi.ac.za
Euan Adie
Frances Turner
Han G Brunner
Marc A van Driel
Martin Oti
Nuria Lopez-Bigas
Christos Ouzounis
Carolina Perez-Iratxeta
Miguel A Andrade-Navarro
Adebowale Adeyemo
Mary Elizabeth Patti
Colin A M Semple
Winston Hide
University of the Western Cape · ZA

Funding

Diabetes Genome Anatomy Project (DGAP)R01DK060837 · NIDDK · JOSLIN DIABETES CENTER · PI KAHN, C RONALD · 2002 to 2006
$15.9M
Gene Expression in Prediabetes: Potential Role of PGC-1R01DK062948 · NIDDK · JOSLIN DIABETES CENTER · PI PATTI, MARY E · 2003 to 2006
$1.4M
NIDDK NIH HHS DK060837NIDDK NIH HHS DK062948NIDDK NIH HHS R01 DK060837NIDDK NIH HHS R01 DK062948
6 · The paper itself

Abstract

Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most likely candidate disease genes from these gene sets. Here, we review seven independent computational disease gene prioritization methods, and then apply them in concert to the analysis of 9556 positional candidate genes for type 2 diabetes (T2D) and the related trait obesity. We generate and analyse a list of nine primary candidate genes for T2D genes and five for obesity. Two genes, LPL and BCKDHA, are common to these two sets. We also present a set of secondary candidates for T2D (94 genes) and for obesity (116 genes) with 58 genes in common to both diseases.

Indexed as

Genetic Predisposition to DiseaseComputational BiologyDiabetes Mellitus, Type 2GenesGenetic LinkageHumansInternetObesitySoftware

Identifiers

PMID16757574
PMCPMC1475747
OpenAlexW2102427034

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.