Evidence map›Paper›PMID 28534081›Full record

ArticleFamilial cancer2017

Power of pedigree likelihood analysis in extended pedigrees to classify rare variants of uncertain significance in cancer risk genes.

Elisabeth A Rosenthal, John Michael O Ranola, Brian H Shirts

Open access · greenAbstract read
In one paragraph

Article in Familial cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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
  3. 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

3 authors at 1 institution in 1 country.

Elisabeth A RosenthalDivision of Medical Genetics, School of Medicine, University of Washington, Seattle, WA, USA. erosen@uw.edu.
John Michael O RanolaDepartment of Laboratory Medicine, University of Washington Medical Center, Seattle, WA, USA.
Brian H ShirtsDepartment of Laboratory Medicine, University of Washington Medical Center, Seattle, WA, USA.
University of Washington Medical Center · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
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
Damon Runyon Cancer Research Foundation (US) DRR-33-15Fred Hutch/University of Washington Cancer Consortium NCI 5P30 CA015704-39National Human Genome Research Institute R21HG008513NCI NIH HHS P30 CA015704NHGRI NIH HHS R21 HG008513
6 · The paper itself

Abstract

Rare and private variants of uncertain significance (VUS) are routinely identified in clinical panel, exome, and genome sequencing. We investigated the power of single family co-segregation analysis to aid classification of VUS. We simulated thousands of pedigrees using demographics in China and the United States, segregating benign and pathogenic variants. Genotypes and phenotypes were simulated using penetrance models for Lynch syndrome and breast/ovarian cancer. We calculated LOD scores adjusted for proband ascertainment (LODadj), to determine power to yield quantitative evidence for, or against, pathogenicity of the VUS. Power to classify VUS was higher for Chinese than United States pedigrees. The number of affected individuals explained the most variation in LODadj (21-38%). The distance to the furthest affected relative (FAR) from the proband explained 1-7% of the variation for the benign VUS and Lynch associated cancers. Minimum age of onset (MAO) explained 5-13% of the variation in families with pathogenic breast/ovarian cancer variants. Random removal of 50% of the phenotype/genotype data reduced power and the variation in LODadj was best explained by FAR followed by the number of affected individuals and MAO when the founder was only two generations from the proband. Power to classify benign variants was ~2x power to classify pathogenic variants. Affecteds-only analysis resulted in virtually no power to correctly classify benign variants and reduced power to classify pathogenic variants. These results can be used to guide recruitment efforts to classify rare and private VUS.

Indexed as

Models, GeneticAge of OnsetBreast NeoplasmsChinaColorectal Neoplasms, Hereditary NonpolyposisFemaleGenetic Predisposition to DiseaseGenetic VariationHumansLikelihood FunctionsOvarian NeoplasmsPedigreePenetranceUnited StatesBreast cancerLOD scoreLynch syndromeOvarian cancerPrivate VUSVariant classification

Identifiers

PMID28534081
PMCPMC5699967
OpenAlexW2617908086

What OpenQuestion holds

Textmetadata
LicenceTDM
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.