Evidence map›Paper›PMID 18613097›Full record

ArticleGenetic epidemiology2008

CANDID: a flexible method for prioritizing candidate genes for complex human traits.

Janna E Hutz, Aldi T Kraja, Howard L McLeod, Michael A Province

Erratum issuedAbstract read
In one paragraph

Article in Genetic epidemiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

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  20. Combining heterogenous data for prediction of disease related and pharmacogenes.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2014
    Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

4 authors.

Janna E HutzDivision of Statistical Genomics, Washington University School of Medicine, Saint Louis, Missouri, USA. jehutz@artsci.wustl.edu
Aldi T Kraja
Howard L McLeod
Michael A Province

Funding

POPULATION GENETICS AND DRUG METABOLISMU01GM063340 · NIGMS · WASHINGTON UNIVERSITY · PI MCLEOD, HOWARD L · 2001 to 2009
$17.4M
NIGMS NIH HHS U01 GM063340
6 · The paper itself

Abstract

Genomewide studies and localized candidate gene approaches have become everyday study designs for identifying polymorphisms in genes that influence complex human traits. Yet, in general, the number of significant findings and the need to focus on smaller regions require a prioritization of genes for further study. Some candidate gene identification algorithms have been proposed in recent years to attempt to streamline this prioritization, but many suffer from limitations imposed by the source data or are difficult to use and understand. CANDID is a prioritization algorithm designed to produce impartial, accurate rankings of candidate genes that influence complex human traits. CANDID can use information from publications, protein domain descriptions, cross-species conservation measures, gene expression profiles and protein-protein interactions in its analysis. Additionally, users may supplement these data sources with results from linkage, association and other studies. CANDID was tested on well-known complex trait genes using data from the Online Mendelian Inheritance in Man database. Additionally, CANDID was evaluated in a modeled gene discovery environment, where it ranked genes whose trait associations were published after CANDID's databases were compiled. In all settings, CANDID exhibited high sensitivity and specificity, indicating an improvement upon previously published algorithms. Its accuracy and ease of use make CANDID a highly useful tool in study design and analysis for complex human traits.

Indexed as

Genetic TechniquesAlgorithmsComputational BiologyDatabases, GeneticFemaleGene Expression ProfilingGenetic Diseases, InbornGenetic LinkageGenome, HumanHumansMaleModels, GeneticModels, StatisticalProtein Structure, TertiaryROC Curve

Identifiers

PMID18613097
PMCPMC4420475

What OpenQuestion holds

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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.