Evidence map›Paper›PMID 31270633›Full record

ReviewMedical oncology (Northwood, London, England)2019

Functional coding and non-coding variants in human BRCA1 gene and their use in genetic screening.

Gulten Tuncel, Mahmut Çerkez Ergören

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical oncology (Northwood, London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Gulten TuncelFaculty of Medicine, Department of Medical Biology, Near East University, 99138, Nicosia, Cyprus.ORCID http://orcid.org/0000-0002-3332-471X
Mahmut Çerkez ErgörenFaculty of Medicine, Department of Medical Biology, Near East University, 99138, Nicosia, Cyprus. mahmutcerkez.ergoren@neu.edu.tr.ORCID http://orcid.org/0000-0001-9593-9325
Near East University · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BRCA1 is involved in double-strand DNA damage repair pathways, and mutations in the gene are associated with hereditary breast and ovarian cancers. With great help of the development of high-throughput DNA sequencing techniques numerous single-nucleotide polymorphisms (SNPs) and insertion deletion (Indel) mutations are detected on both coding and non-coding/regulatory regions of the BRCA1. Mutations may cause pathogenic or benign changes on the protein function or affect its expression. In the last decade, use of genetic screening tests to detect mutations on such genes has become greatly popular. However, it is very important to know the effect of the detected mutations, which is mostly possible by the use of predictive softwares, and also the related family history to be able to correctly analyse the screening results and to inform the patient. Therefore, use of in silico and in vitro techniques to score the pathogenicity of detected variants on genes like BRCA1 is now of great importance. Otherwise, results obtained from screening tests and family history cannot be analysed precisely.

Indexed as

Genes, BRCA13' Untranslated Regions5' Untranslated RegionsBRCA1 ProteinBreast NeoplasmsFemaleGenetic TestingHigh-Throughput Nucleotide SequencingHumansINDEL MutationOvarian NeoplasmsPolymorphism, Single Nucleotide3' Untranslated Regions5' Untranslated RegionsBRCA1 ProteinBRCA1 protein, humanBRCA1Genetic screeningVariants

Identifiers

PMID31270633
OpenAlexW2955844528

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.