Evidence map›Paper›PMID 15290653›Full record

ArticleAmerican journal of human genetics2004

Integrated evaluation of DNA sequence variants of unknown clinical significance: application to BRCA1 and BRCA2.

David E Goldgar, Douglas F Easton, Amie M Deffenbaugh, Alvaro N A Monteiro, Sean V Tavtigian, Fergus J Couch, Breast Cancer Information Core (BIC) Steering Committee

Abstract read
In one paragraph

Article in American journal of human genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers.

0numbers the graph read from it
0cells of the map it votes in
181citing 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

181 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Assessment ofJCO clinical cancer informatics · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

121 more citing papers are in PubMed but not listed here.

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.

David E GoldgarInternational Agency for Research on Cancer, Lyon, France. goldgar@iarc.fr
Douglas F Easton
Amie M Deffenbaugh
Alvaro N A Monteiro
Sean V Tavtigian
Fergus J Couch
Breast Cancer Information Core (BIC) Steering Committee

Funding

POLYMORPHISMS IN GENES FOR ESTROGEN BIOACTIVATIONP01CA082267 · NCI · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI COUCH, FERGUS JOSEPH · 2000 to 2004
$9.2M
FUNCTIONAL ANALYSIS OF BRCA1 MUTANTSR01CA092309 · NCI · STRANG CANCER PREVENTION CENTER · PI MONTEIRO, ALVARO N · 2002 to 2006
$1.3M
NCI NIH HHS P01 CA082267NCI NIH HHS R01 CA092309
6 · The paper itself

Abstract

Many sequence variants in predisposition genes are of uncertain clinical significance, and classification of these variants into high- or low-risk categories is an important problem in clinical genetics. Classification of such variants can be performed by direct epidemiological observations, including cosegregation with disease in families and degree of family history of the disease, or by indirect measures, including amino acid conservation, severity of amino acid change, and evidence from functional assays. In this study, we have developed an approach to the synthesis of such evidence in a multifactorial likelihood-ratio model. We applied this model to the analysis of three unclassified variants in BRCA1 and three in BRCA2. The evidence strongly suggests that two variants (C1787S in BRCA1 and D2723H in BRCA2) are deleterious, three (R841W in BRCA1 and Y42C and P655R in BRCA2) are neutral, and one (R1699Q in BRCA1) remains of uncertain significance. These results provide a demonstration of the utility of the model.

Indexed as

Genes, BRCA1Genes, BRCA2Genetic VariationModels, GeneticBase SequenceComputational BiologyDatabases, GeneticGenetic TestingHumansLikelihood FunctionsMutation

Identifiers

PMID15290653
PMCPMC1182042

What OpenQuestion holds

Textmetadata
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.