Evidence map›Paper›PMID 27422780›Full record

ArticleJournal of genetic counseling2016

Family Studies for Classification of Variants of Uncertain Classification: Current Laboratory Clinical Practice and a New Web-Based Educational Tool.

Lauren T Garrett, Nathan Hickman, Angela Jacobson, Robin L Bennett, Laura M Amendola, Elisabeth A Rosenthal, Brian H Shirts

Open access · hybridAbstract read
In one paragraph

Article in Journal of genetic counseling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  8. Review
  9. Outcomes of 92 patient-driven family studies for reclassification of variants of uncertain significance.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
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  13. Review
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

7 authors at 4 institutions in 1 country.

Lauren T GarrettDepartment of Laboratory Medicine, University of Washington, Rm NW120, Box 357110, 1959 NE Pacific Street, Seattle, WA, 98195, USA.
Nathan HickmanDepartment of Laboratory Medicine, University of Washington, Rm NW120, Box 357110, 1959 NE Pacific Street, Seattle, WA, 98195, USA.
Angela JacobsonDepartment of Laboratory Medicine, University of Washington, Rm NW120, Box 357110, 1959 NE Pacific Street, Seattle, WA, 98195, USA.
Robin L BennettDepartment of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA.
Laura M AmendolaDepartment of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA.
Elisabeth A RosenthalDepartment of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA.
Brian H ShirtsDepartment of Laboratory Medicine, University of Washington, Rm NW120, Box 357110, 1959 NE Pacific Street, Seattle, WA, 98195, USA. shirtsb@uw.edu.
University of Washington Medical Center · USSeattle Pacific University · USPacific Northwest Diabetes Research Institute · USUniversity of Washington · US

Funding

Clinical sequencing in cancer: Clinical ethical and technological studiesU01HG006507 · NHGRI · UNIVERSITY OF WASHINGTON · PI JARVIK, GAIL PAIRITZ · 2012 to 2016
$10.6M
Developing and Evaluating Patient Centered Tools for Clinical Classification of Variants of Uncertain SignificanceR21HG008513 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHIRTS, BRIAN HANSON · 2015 to 2016
$386k
NHGRI NIH HHS R21 HG008513NHGRI NIH HHS U01 HG006507
6 · The paper itself

Abstract

Multi-gene cancer panels often identify variants of uncertain clinical significance (VUS) that pose a challenge to health care providers in managing a patient's cancer risk. Family segregation analysis can yield powerful data to re-classify a VUS (as either benign or pathogenic). However, financial and personnel resources to coordinate these studies are limited. In an informal assessment we found that family studies for variant classification are done by most clinical genetics laboratories that offer hereditary cancer panel testing. The process for family studies differs substantially across laboratories. One near universal limitation is that families usually have too few individuals for an informative co-segregation analysis. A unique and potential resource-saving approach is to engage patients and their families in expanding their own pedigrees for segregation analysis of their VUS. We describe a novel public educational tool ( FindMyVariant.org ) designed to inform patients and genetic counselors about strategies to improve the probability of variant classification using familial segregation. While the web tool is designed to be useful for any gene, the project was primarily focused on VUS's returned in cancer risk genes. FindMyVariant.org is a resource for genetic providers to offer motivated families who are willing to gather information about their family relationships and history. Working alongside clinical or research genetic laboratories, the information they collect may help reclassify their VUS using segregation analysis.

Indexed as

Genetic Predisposition to DiseasePedigreeSoftwareUncertaintyHumansInternetNeoplasmsPatient Education as Topicco-segregationFamily segregationfamily studiesGenetic counselingGenetics educationonline patient educationVariant of Uncertain Clinical SignificanceVOUS

Identifiers

PMID27422780
PMCPMC5114323
OpenAlexW2463481805

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.