Evidence map›Paper›PMID 26379229›Full record

ArticleNature protocols2015

Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR.

Hui Yang, Kai Wang

Registry-linked trialAbstract read
In one paragraph

Article in Nature protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06559670 (Prevention of Chronic Lung Disease), which is not on this map. Cited by 540 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
540citing papers in PubMed, 2 pooled it
–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.

NCT06559670 nanot yet recruitingnot on this mapstarted 2024, after this paper: background citation

Prevention of Chronic Lung Disease: New High Risk Profile for Early Detection and Management Starting From Perinatal Life (CLD - Prevention Study)

TypeinterventionalSponsorFondazione Policlinico Universitario Agostino Gemelli IRCCSRan2024 to 2026Enrolled42ConditionsChronic Lung DiseaseArmsBlood sampling
3 · Its place in the literature

Who cites it

540 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. B-cell lymphocytosis and reprogramming due to biallelic CARD11 mutations.The Journal of allergy and clinical immunology · 2026
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  20. bioRxiv : the preprint server for biology · 2026
    Article

480 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

2 authors.

Hui YangZilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA.ORCID http://orcid.org/0000-0001-7325-9425
Kai WangZilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA.

Funding

Integrated variation detection annotation and analysis for high-throughout sequeR01HG006465 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, KAI · 2012 to 2016
$1.8M
NHGRI NIH HHS R01 HG006465
6 · The paper itself

Abstract

Recent developments in sequencing techniques have enabled rapid and high-throughput generation of sequence data, democratizing the ability to compile information on large amounts of genetic variations in individual laboratories. However, there is a growing gap between the generation of raw sequencing data and the extraction of meaningful biological information. Here, we describe a protocol to use the ANNOVAR (ANNOtate VARiation) software to facilitate fast and easy variant annotations, including gene-based, region-based and filter-based annotations on a variant call format (VCF) file generated from human genomes. We further describe a protocol for gene-based annotation of a newly sequenced nonhuman species. Finally, we describe how to use a user-friendly and easily accessible web server called wANNOVAR to prioritize candidate genes for a Mendelian disease. The variant annotation protocols take 5-30 min of computer time, depending on the size of the variant file, and 5-10 min of hands-on time. In summary, through the command-line tool and the web server, these protocols provide a convenient means to analyze genetic variants generated in humans and other species.

Indexed as

Genetic VariationSoftwareGenetic Predisposition to DiseaseGenome, HumanGenomicsHumansMolecular Sequence Annotation

Identifiers

PMID26379229
PMCPMC4718734

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Registered trials

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.