Evidence map›Paper›PMID 28223510›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

PEMapper and PECaller provide a simplified approach to whole-genome sequencing.

H Richard Johnston, Pankaj Chopra, Thomas S Wingo, Viren Patel, International Consortium on Brain and Behavior in 22q11.2 Deletion Syndrome, Michael P Epstein, Jennifer G Mulle, Stephen T Warren, Michael E Zwick, David J Cutler

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  6. Identification ofProceedings of the National Academy of Sciences of the United States of America · 2022
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  7. Article
  8. Novel MissenseFrontiers in neurology · 2022
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  14. G3 (Bethesda, Md.) · 2019
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

H Richard JohnstonDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322.
Pankaj ChopraDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322.
Thomas S WingoDivision of Neurology, Atlanta Veterans Affairs Medical Center, Atlanta, GA 30322.
Viren PatelDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322.
International Consortium on Brain and Behavior in 22q11.2 Deletion Syndrome
Michael P EpsteinDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322.
Jennifer G MulleDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322.
Stephen T WarrenDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322; swarren@emory.edu mzwick@emory.edu djcutle@emory.edu.
Michael E ZwickDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322; swarren@emory.edu mzwick@emory.edu djcutle@emory.edu.
David J CutlerDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322; swarren@emory.edu mzwick@emory.edu djcutle@emory.edu.

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025008 · NCRR · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2007 to 2011
$29.0M
Project 2: Genetic Mechanisms of Non-syndromic Congenital Cardiac DefectsP01HD070454 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MORROW, BERNICE E · 2011 to 2020
$14.0M
Recruitment CoreU54NS091859 · NINDS · EMORY UNIVERSITY · PI WARREN, STEPHEN T. · 2014 to 2019
$9.1M
2/5 International Consortium on Brain and Behavior in 22q11.2 Deletion SyndromeU01MH101720 · NIMH · EMORY UNIVERSITY · PI WARREN, STEPHEN T. · 2013 to 2016
$6.2M
A Genetic Study of a Large Pedigree with Late-onset Alzheimer's DiseaseIK2BX001820 · VA · VETERANS HEALTH ADMINISTRATION · PI WINGO, THOMAS SPURGEON · 2014 to 2018
–
Medical Research Council MR/L010305/1NCRR NIH HHS UL1 RR025008NIMH NIH HHS U01 MH101720
6 · The paper itself

Abstract

The analysis of human whole-genome sequencing data presents significant computational challenges. The sheer size of datasets places an enormous burden on computational, disk array, and network resources. Here, we present an integrated computational package, PEMapper/PECaller, that was designed specifically to minimize the burden on networks and disk arrays, create output files that are minimal in size, and run in a highly computationally efficient way, with the single goal of enabling whole-genome sequencing at scale. In addition to improved computational efficiency, we implement a statistical framework that allows for a base by base error model, allowing this package to perform as well or better than the widely used Genome Analysis Toolkit (GATK) in all key measures of performance on human whole-genome sequences.

Indexed as

SoftwareAlgorithmsComputational BiologyDatabases, GeneticGenome, HumanHumansPolymorphism, Single NucleotideWhole Genome SequencingGATKgenome sequencingsequence mappingSNP callingsoftware

Identifiers

PMID28223510
PMCPMC5347547

What OpenQuestion holds

Textmetadata
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.