Evidence map›Paper›PMID 34282249›Full record

ArticleScientific reports2021

Sequencing for germline mutations in Swedish breast cancer families reveals novel breast cancer risk genes.

Hafdis T Helgadottir, Jessada Thutkawkorapin, Kristina Lagerstedt-Robinson, Annika Lindblom

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
0.5field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Hafdis T HelgadottirDepartment of Molecular Medicine and Surgery, Karolinska Institute, Solna, Stockholm, Sweden. hafdis.helgadottir@ki.se.
Jessada ThutkawkorapinDepartment of Molecular Medicine and Surgery, Karolinska Institute, Solna, Stockholm, Sweden.
Kristina Lagerstedt-RobinsonDepartment of Molecular Medicine and Surgery, Karolinska Institute, Solna, Stockholm, Sweden.
Annika LindblomDepartment of Molecular Medicine and Surgery, Karolinska Institute, Solna, Stockholm, Sweden. annika.lindblom@ki.se.
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying genetic cancer risk factors will lead to improved genetic counseling, cancer prevention and cancer care. Analyzing families with a strong history of breast cancer (BC) has been a successful method to identify genes that contribute to the disease. This has led to discoveries of high-risk genes like the BRCA-genes. Nevertheless, many BC incidences are of unknown causes. In this study, exome sequencing on 59 BC patients from 24 Swedish families with a strong history of BC was performed to identify variants in known and novel BC predisposing genes. First, we screened known BC genes and identified two pathogenic variants in the BRIP1 and PALB2 genes. Secondly, to identify novel BC genes, rare and high impact variants and segregating in families were analyzed to identify 544 variants in novel BC candidate genes. Of those, 22 variants were defined as high-risk variants. Several interesting genes, either previously linked with BC or in pathways that when flawed could contribute to BC, were among the detected genes. The strongest candidates identified are the FANCM gene, involved in DNA double-strand break repair, and the RAD54L gene, involved in DNA recombination. Our study shows identifying pathogenic variants is challenging despite a strong family history of BC. Several interesting candidates were observed here that need to be further studied.

Indexed as

Genes, NeoplasmGerm-Line MutationAdultBreast NeoplasmsCodon, NonsenseDNA HelicasesDNA Mutational AnalysisExome SequencingFamilyFemaleGain of Function MutationGenetic Predisposition to DiseaseHumansMiddle AgedPedigreeRisk FactorsCodon, NonsenseDNA HelicasesFANCM protein, human

Identifiers

PMID34282249
PMCPMC8289997
OpenAlexW3183823208

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.