Evidence map›Paper›PMID 26787654›Full record

ArticleJournal of medical genetics2016

Multigene testing of moderate-risk genes: be mindful of the missense.

E L Young, B J Feng, A W Stark, F Damiola, G Durand, N Forey, T C Francy, A Gammon, W K Kohlmann, K A Kaphingst and 20 more

Abstract read
In one paragraph

Article in Journal of medical genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Cells · 2020
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Landscape of pathogenic variations in a panel of 34 genes and cancer risk estimation from 5131 HBOC families.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Rare, protein-truncating variants inJournal of medical genetics · 2017
    Article
  19. Article
  20. Endometrial cancer gene panels: clinical diagnostic vs research germline DNA testing.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017
    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

30 authors.

E L YoungDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.
B J FengDepartment of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.
A W StarkDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.
F DamiolaBreast Cancer Genetics Group, Cancer Research Centre of Lyon, Centre Léon Bérard, Lyon, France.
G DurandGenetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France.
N ForeyGenetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France.
T C FrancyDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.
A GammonHuntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.
W K KohlmannHuntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.
K A KaphingstDepartment of Communication and Huntsman Cancer Institute, University of Utah.
S McKay-ChopinGenetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France.
T Nguyen-DumontGenetic Epidemiology Laboratory, The University of Melbourne, Melbourne, Victoria, Australia.
J OliverInstituto de Ciencias Básicas y Medicina Experimental del Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
A M PaquetteDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.
M PertesiGenetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France.
N RobinotGenetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France.
J S RosenthalDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.
M ValleeCancer Genomics Laboratory, CHUQ Research Center, Quebec City, Canada.
C VoegeleGenetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France.
J L HopperCentre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia Department of Epidemiology (Genome Epidemiology Lab), Seoul National University School of Public Health, Seoul, Korea.
M C SoutheyDepartment of Communication and Huntsman Cancer Institute, University of Utah.
I L AndrulisDepartment of Molecular Genetics, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
E M JohnCancer Prevention Institute of California, Fremont, California, USA Department of Health Research and Policy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA.
M HashibeDepartment of Family and Preventive Medicine, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.
J GertzDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.
Breast Cancer Family Registry
F Le Calvez-KelmGenetic Cancer Susceptibility group, International Agency for Research on Cancer, Lyon, France.
F LesueurGenetic Epidemiology of Cancer Team, Inserm, U900, Institut Curie, Paris, France.
D E GoldgarDepartment of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.
S V TavtigianDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, USA.

Funding

Breast Cancer Family Registry CohortUM1CA164920 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI ANDRULIS, IRENE, BUYS, SAUNDRA S · 2012 to 2017
$12.7M
COMMON AND RARE SEQUENCE VARIANTS IN BREAST CANCER RISKR01CA121245 · NCI · UNIVERSITY OF UTAH · PI TAVTIGIAN, SEAN VAHRAM · 2007 to 2021
$4.9M
A comprehensive approach to breast cancer susceptibility across the risk spectrumR01CA155767 · NCI · UNIVERSITY OF UTAH · PI GOLDGAR, DAVID E., SOUTHEY, MELISSA · 2011 to 2015
$2.2M
NCI NIH HHS R01 CA121245NCI NIH HHS R01 CA155767NCI NIH HHS UM1 CA164920World Health Organization 001
6 · The paper itself

Abstract

backgroundModerate-risk genes have not been extensively studied, and missense substitutions in them are generally returned to patients as variants of uncertain significance lacking clearly defined risk estimates. The fraction of early-onset breast cancer cases carrying moderate-risk genotypes and quantitative methods for flagging variants for further analysis have not been established.

methodsWe evaluated rare missense substitutions identified from a mutation screen of ATM, CHEK2, MRE11A, RAD50, NBN, RAD51, RINT1, XRCC2 and BARD1 in 1297 cases of early-onset breast cancer and 1121 controls via scores from Align-Grantham Variation Grantham Deviation (GVGD), combined annotation dependent depletion (CADD), multivariate analysis of protein polymorphism (MAPP) and PolyPhen-2. We also evaluated subjects by polygenotype from 18 breast cancer risk SNPs. From these analyses, we estimated the fraction of cases and controls that reach a breast cancer OR≥2.5 threshold.

resultsAnalysis of mutation screening data from the nine genes revealed that 7.5% of cases and 2.4% of controls were carriers of at least one rare variant with an average OR≥2.5. 2.1% of cases and 1.2% of controls had a polygenotype with an average OR≥2.5.

conclusionsAmong early-onset breast cancer cases, 9.6% had a genotype associated with an increased risk sufficient to affect clinical management recommendations. Over two-thirds of variants conferring this level of risk were rare missense substitutions in moderate-risk genes. Placement in the estimated OR≥2.5 group by at least two of these missense analysis programs should be used to prioritise variants for further study. Panel testing often creates more heat than light; quantitative approaches to variant prioritisation and classification may facilitate more efficient clinical classification of variants.

Indexed as

AdultBreast NeoplasmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenetic TestingHumansMiddle AgedMutation, MissensePolymorphism, Single NucleotideRiskCancer: breastClinical geneticsGeneticsScreening

Identifiers

PMID26787654
PMCPMC4893078

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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.