Evidence map›Paper›PMID 35774415›Full record

ArticleMethodsX2022

An optimized protocol for evaluating pathogenicity of

Diane R Koeller, Danielle K Manning, Alison Schwartz, Anu Chittenden, Connor P Hayes, Feruza Abraamyan, Huma Q Rana, Neal I Lindeman, Judy E Garber, Arezou A Ghazani

Open access · goldAbstract read
In one paragraph

Article in MethodsX, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Development and evaluation of INTFrontiers in oncology · 2023
    Article
  4. Article
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

10 authors at 3 institutions in 1 country.

Diane R KoellerDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Danielle K ManningDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Alison SchwartzDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Anu ChittendenDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Connor P HayesDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Feruza AbraamyanDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Huma Q RanaDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Neal I LindemanDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Judy E GarberDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Arezou A GhazaniDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interpretation of hereditary genetic sequencing variants is often limited due to the absence of functional data and other key evidence to assess the role of variants in disease. Cancer genetics is unique, as two sets of genomic information are often available from a cancer patient: somatic and germline. Despite the progress made in the integrated analysis of somatic and germline findings, the assessment of pathogenicity of germline variants in high penetrance genes remains grossly underutilized. Indeed, standard ACMG/AMP guidelines for interpreting germline sequence variants do not address the evidence derived from tumor data in cancer. Previously, we have demonstrated the utility of somatic tumor data as supporting evidence to elucidate the role of germline variants in patients suspected with VHL syndrome and other cancers. We have leveraged the key elements of cancer genetics in these cases: genes with expected high disease penetrance and those with a known biallelic mechanism of tumorigenicity. Here we provide our optimized protocol for evaluating the pathogenicity of germline

Indexed as

Germline variant interpretationIntegrated somatic and germline NGSLOH, Loss of heterozygosityLoss of heterozygosity (LOH)VHL geneVon Hippel-Lindau syndromevon Hippel-Lindau syndrome, VHL syndrome

Identifiers

PMID35774415
PMCPMC9237939
OpenAlexW4283080385

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.