Evidence map›Paper›PMID 24086590›Full record

ArticlePloS one2013

Variant callers for next-generation sequencing data: a comparison study.

Xiangtao Liu, Shizhong Han, Zuoheng Wang, Joel Gelernter, Bao-Zhu Yang

Abstract readComparative Study
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing 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

91 citing papers in PubMed.

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31 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.

Xiangtao LiuDepartment of Psychiatry, Division of Human Genetics, Yale University School of Medicine, New Haven, Connecticut, United States of America ; VA CT Health Care Center, West Haven, Connecticut, United States of America.
Shizhong Han
Zuoheng Wang
Joel Gelernter
Bao-Zhu Yang

Funding

Deep sequencing studies for cannabis and stimulant dependenceR01DA030976 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EHLERS, CINDY L, GELERNTER, JOEL · 2010 to 2014
$16.5M
Sex-specific analysis of opioid dependence GWAS and beyondR01DA012690 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2017
$14.0M
GENETICS OF COCAINE DEPENDENCER01DA012849 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1999 to 2010
$11.5M
Linkage Disequilibrium Studies of Alcohol DependenceR01AA011330 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1997 to 2013
$6.4M
Yale University Clinical and Translational Science Award ProgramKL2RR024138 · NCRR · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2006 to 2011
$4.8M
Genomewide Association Study of Cocaine Dependence in two PopulationsRC2DA028909 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2009 to 2010
$4.2M
Genetics of Cocaine DependenceR01DA018432 · NIDA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KRANZLER, HENRY RICHARD · 2006 to 2010
$3.5M
Genetics of Alcohol Dependence in African-AmericansR01AA017535 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2009 to 2013
$3.0M
Improving Patient Outcomes in Anxiety DisordersK24MH064122 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI STEIN, MURRAY B. · 2001 to 2011
$1.3M
Mapping Genes for comorbidity of SUDs and DepressionK01DA024758 · NIDA · YALE UNIVERSITY · PI YANG, BAO-ZHU · 2008 to 2012
$849k
NCRR NIH HHS KL2 RR024138NIAAA NIH HHS AA017535NIAAA NIH HHS AA11330NIAAA NIH HHS R01 AA011330NIAAA NIH HHS R01 AA017535NIDA NIH HHS DA028909NIDA NIH HHS DA030976NIDA NIH HHS DA12690NIDA NIH HHS DA12849NIDA NIH HHS DA18432NIDA NIH HHS DA24758NIDA NIH HHS K01 DA024758NIDA NIH HHS R01 DA012690NIDA NIH HHS R01 DA012849NIDA NIH HHS R01 DA018432NIDA NIH HHS R01 DA030976NIDA NIH HHS RC2 DA028909NIMH NIH HHS K24 MH064122NIMH NIH HHS MH64122
6 · The paper itself

Abstract

Next generation sequencing (NGS) has been leading the genetic study of human disease into an era of unprecedented productivity. Many bioinformatics pipelines have been developed to call variants from NGS data. The performance of these pipelines depends crucially on the variant caller used and on the calling strategies implemented. We studied the performance of four prevailing callers, SAMtools, GATK, glftools and Atlas2, using single-sample and multiple-sample variant-calling strategies. Using the same aligner, BWA, we built four single-sample and three multiple-sample calling pipelines and applied the pipelines to whole exome sequencing data taken from 20 individuals. We obtained genotypes generated by Illumina Infinium HumanExome v1.1 Beadchip for validation analysis and then used Sanger sequencing as a "gold-standard" method to resolve discrepancies for selected regions of high discordance. Finally, we compared the sensitivity of three of the single-sample calling pipelines using known simulated whole genome sequence data as a gold standard. Overall, for single-sample calling, the called variants were highly consistent across callers and the pairwise overlapping rate was about 0.9. Compared with other callers, GATK had the highest rediscovery rate (0.9969) and specificity (0.99996), and the Ti/Tv ratio out of GATK was closest to the expected value of 3.02. Multiple-sample calling increased the sensitivity. Results from the simulated data suggested that GATK outperformed SAMtools and glfSingle in sensitivity, especially for low coverage data. Further, for the selected discrepant regions evaluated by Sanger sequencing, variant genotypes called by exome sequencing versus the exome array were more accurate, although the average variant sensitivity and overall genotype consistency rate were as high as 95.87% and 99.82%, respectively. In conclusion, GATK showed several advantages over other variant callers for general purpose NGS analyses. The GATK pipelines we developed perform very well.

Indexed as

Computational BiologyExomeGenome, HumanGenotypeHigh-Throughput Nucleotide SequencingHumansPolymorphism, Single NucleotideSensitivity and SpecificitySoftware

Identifiers

PMID24086590
PMCPMC3785481

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.