Evidence map›Paper›PMID 38076939›Full record

ArticlebioRxiv : the preprint server for biology2023

AutoGVP: a dockerized workflow integrating ClinVar and InterVar germline sequence variant classification.

Jung Kim, Ammar S Naqvi, Ryan J Corbett, Rebecca S Kaufman, Zalman Vaksman, Miguel A Brown, Daniel P Miller, Saksham Phul, Zhuangzhuang Geng, Phillip B Storm and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Jung KimDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.ORCID 0000-0001-6274-2841
Ammar S NaqviCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0000-0002-0625-666X
Ryan J CorbettCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0000-0002-3478-0784
Rebecca S KaufmanDepartment of Bioinformatics and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0000-0001-8535-9730
Zalman VaksmanDepartment of Bioinformatics and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA.
Miguel A BrownCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0000-0001-6782-1442
Daniel P MillerCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0000-0002-2032-4358
Saksham PhulCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0000-0002-2771-2572
Zhuangzhuang GengCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0009-0007-6883-0691
Phillip B StormCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0000-0002-7964-2449
Adam C ResnickCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0000-0003-0436-4189
Douglas R StewartDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.ORCID 0000-0001-8193-1488
Jo Lynne RokitaCenter for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0000-0003-2171-3627
Sharon J DiskinDepartment of Bioinformatics and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0000-0002-7200-8939

Funding

U2C Kids First Admin Supplement - data transferU2CHL138346 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI HEATH, ALLISON · 2017 to 2022
$21.5M
Discovering the genetic basis of neuroblastoma initiation and progressionR03CA230366 · NCI · CHILDREN'S HOSP OF PHILADELPHIA · PI DISKIN, SHARON · 2018 to 2019
$344k
NCI NIH HHS R03 CA230366NHLBI NIH HHS U2C HL138346
6 · The paper itself

Abstract

With the increasing rates of exome and whole genome sequencing, the ability to classify large sets of germline sequencing variants using up-to-date American College of Medical Genetics - Association for Molecular Pathology (ACMG-AMP) criteria is crucial. Here, we present Automated Germline Variant Pathogenicity (AutoGVP), a tool that integrates germline variant pathogenicity annotations from ClinVar and sequence variant classifications from a modified version of InterVar (PVS1 strength adjustments, removal of PP5/BP6). This tool facilitates large-scale, clinically-focused classification of germline sequence variants in a research setting.

Identifiers

PMID38076939
PMCPMC10705399

What OpenQuestion holds

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LicenceCC BY-NC
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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.