Evidence map›Paper›PMID 31435815›Full record

ArticleFamilial cancer2019

Population frequencies of pathogenic alleles of BRCA1 and BRCA2: analysis of 173 Danish breast cancer pedigrees using the BOADICEA model.

Thorkild Terkelsen, Lise-Lotte Christensen, Deirdre Cronin Fenton, Uffe Birk Jensen, Lone Sunde, Mads Thomassen, Anne-Bine Skytte

Abstract read
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In one paragraph

Article in Familial cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Potential of polygenic risk scores for improving population estimates of women's breast cancer genetic risks.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  5. Review
  6. Review
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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.

Thorkild TerkelsenDepartment of Clinical Genetics, Aarhus University Hospital, Brendstrupgaardsvej 21C, 8200, Aarhus N, Denmark. thoter@rm.dk.ORCID http://orcid.org/0000-0003-2435-1043
Lise-Lotte ChristensenDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Deirdre Cronin FentonDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Uffe Birk JensenDepartment of Clinical Genetics, Aarhus University Hospital, Brendstrupgaardsvej 21C, 8200, Aarhus N, Denmark.
Lone SundeDepartment of Clinical Genetics, Aarhus University Hospital, Brendstrupgaardsvej 21C, 8200, Aarhus N, Denmark.
Mads ThomassenDepartment of Clinical Genetics, Odense University Hospital, Odense, Denmark.
Anne-Bine SkytteDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) calculates the probability that a woman carries a pathogenic variant in BRCA1 or BRCA2 based on her pedigree and the population frequencies of pathogenic alleles of BRCA1 (0.0006394) and BRCA2 (0.00102) in the United Kingdom (UK). BOADICEA allows the clinician to define the population frequencies of pathogenic alleles of BRCA1 and BRCA2 for other populations but only includes preset values for the Ashkenazy Jewish and Icelandic populations. Among 173 early-onset breast cancer pedigrees in Denmark, BOADICEA discriminated well between carriers and non-carriers of pathogenic variants (area under the receiver operating characteristics curve: 0.81; 95% CI 0.74-0.86) but underestimated the frequency of carriers of pathogenic variants in BRCA1 or BRCA2 as measured by the observed-to-expected ratio (O/E 1.83; 95% CI 1.18-2.84). This reflects findings from older studies of BOADICEA in UK, German, Italian, and Chinese populations, all accounting for the different calibration for different carrier probabilities. To improve the performance of BOADICEA for non-UK populations, we developed a method to derive population frequencies of pathogenic alleles of BRCA1 and BRCA2. Compared to the UK population frequencies, we estimated the Danish population frequencies of pathogenic alleles to be higher for BRCA1 (0.0015; 95% CI 0.00064-0.0034) and lower for BRCA2 (0.00052; 95% CI 0.00018-0.0017) after adjusting for the different calibration of BOADICEA for different carrier probabilities. Incorporating additional population frequencies into BOADICEA could improve its performance for non-UK populations.

Indexed as

Gene FrequencyModels, GeneticAdultAge of OnsetAlgorithmsBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCalibrationDenmarkFemaleHeterozygoteHumansIncidencePedigreeUnited KingdomBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanBOADICEABRCA1 geneBRCA2 geneBreast cancerGenetic testing

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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.