Evidence map›Paper›PMID 27153000›Full record

ArticleBioinformatics (Oxford, England)2016

RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data.

Xiaowei Zhan, Youna Hu, Bingshan Li, Goncalo R Abecasis, Dajiang J Liu

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 273 papers, 26 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
273citing papers in PubMed, 26 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.

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

273 citing papers in PubMed, 26 syntheses or guidelines pooled it.

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  7. Germline Genetic Variants Associated with Somatic TMPRSS2:ERG Fusion Status in Prostate Cancer: A Genome-Wide Association Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
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  8. Association of Rare Variants in ARSA with Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2023
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  13. Multi-ancestry genome-wide association study of asthma exacerbations.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2022
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213 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

5 authors.

Xiaowei ZhanDepartment of Clinical Science, Quantitative Biomedical Research Center, Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Youna HuA9.Com Inc, Palo Alto, CA 94301, USA.
Bingshan LiDepartment of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37240, USA.
Goncalo R AbecasisCenter of Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
Dajiang J LiuDivision of Biostatistics and Bioinformatics, Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA and Institute for Personalized Medicine, Penn State College of Medicine, Hershey, PA 17033, USA.

Funding

Cell Interactions in the Inflamed Intestinal MucosaR01DK075787 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI JOEL N HIRSCHHORN · 2007 to 2026
$13.1M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaU01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2017 to 2018
$6.3M
Computational and statistical models for human geneticsR01HG007022 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2012 to 2016
$3.0M
Genetic Association Meta-Analyses of Smoking and Drinking for the Sequencing AgeR01DA037904 · NIDA · UNIVERSITY OF MINNESOTA · PI VRIEZE, SCOTT IAN · 2015 to 2019
$2.4M
Method to Enhance the Rare Variant Genetic Architecture Analysis in Meta-AnalysesR01HG008983 · NHGRI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIU, DAJIANG · 2016 to 2019
$1.6M
Design and analysis of sequencing studies for gene mapping in familiesR01HG006857 · NHGRI · VANDERBILT UNIVERSITY · PI LI, BINGSHAN · 2013 to 2016
$1.5M
Methods to Unveil the Genetic Architecture for Nicotine Dependence via NGS dataR21DA040177 · NIDA · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIU, DAJIANG · 2015 to 2016
$447k
NHGRI NIH HHS R01 HG006857NHGRI NIH HHS R01 HG007022NHGRI NIH HHS R01 HG008983NHLBI NIH HHS U01 HL117626NIDA NIH HHS R01 DA037904NIDA NIH HHS R21 DA040177NIDDK NIH HHS R01 DK075787
6 · The paper itself

Abstract

motivationNext-generation sequencing technologies have enabled the large-scale assessment of the impact of rare and low-frequency genetic variants for complex human diseases. Gene-level association tests are often performed to analyze rare variants, where multiple rare variants in a gene region are analyzed jointly. Applying gene-level association tests to analyze sequence data often requires integrating multiple heterogeneous sources of information (e.g. annotations, functional prediction scores, allele frequencies, genotypes and phenotypes) to determine the optimal analysis unit and prioritize causal variants. Given the complexity and scale of current sequence datasets and bioinformatics databases, there is a compelling need for more efficient software tools to facilitate these analyses. To answer this challenge, we developed RVTESTS, which implements a broad set of rare variant association statistics and supports the analysis of autosomal and X-linked variants for both unrelated and related individuals. RVTESTS also provides useful companion features for annotating sequence variants, integrating bioinformatics databases, performing data quality control and sample selection. We illustrate the advantages of RVTESTS in functionality and efficiency using the 1000 Genomes Project data. AVAILABILITY AND IMPLEMENTATION: RVTESTS is available on Linux, MacOS and Windows. Source code and executable files can be obtained at https://github.com/zhanxw/rvtests CONTACT: zhanxw@gmail.com; goncalo@umich.edu; dajiang.liu@outlook.com SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Genetic VariationSoftwareAnimalsGenotypeHigh-Throughput Nucleotide SequencingHumansProgramming Languages

Identifiers

PMID27153000
PMCPMC4848408

What OpenQuestion holds

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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.