Evidence map›Paper›PMID 22032251›Full record

ArticleBMC medical genetics2011

Genotype-phenotype correlations among BRCA1 4153delA and 5382insC mutation carriers from Latvia.

Grigorijs Plakhins, Arvids Irmejs, Andris Gardovskis, Signe Subatniece, Santa Rozite, Marianna Bitina, Guntars Keire, Gunta Purkalne, Uldis Teibe, Genadijs Trofimovics and 2 more

Abstract read
In one paragraph

Article in BMC medical genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

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

  1. Pooled it
  2. Article
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  6. Article
  7. High frequency of pathogenic non-founder germline mutations inHereditary cancer in clinical practice · 2018
    Article
  8. Prognostic role ofOncology letters · 2014
    Article
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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

12 authors.

Grigorijs PlakhinsHereditary Cancer Institute, Riga Stradins University, Dzirciema Street 16, Riga, LV-1007, Latvia. grigorijs.plakhins@stradini.lv
Arvids Irmejs
Andris Gardovskis
Signe Subatniece
Santa Rozite
Marianna Bitina
Guntars Keire
Gunta Purkalne
Uldis Teibe
Genadijs Trofimovics
Edvins Miklasevics
Janis Gardovskis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMutations in the high penetrance breast and ovarian cancer susceptibility gene BRCA1 account for a significant percentage of hereditary breast and ovarian cancer cases. Genotype-phenotype correlations of BRCA1 mutations located in different parts of the BRCA1 gene have been described previously; however, phenotypic differences of specific BRCA1 mutations have not yet been fully investigated. In our study, based on the analysis of a population-based series of unselected breast and ovarian cancer cases in Latvia, we show some aspects of the genotype-phenotype correlation among the BRCA1 c.4034delA (4153delA) and c.5266dupC (5382insC) founder mutation carriers.

methodsWe investigated the prevalence of the BRCA1 founder mutations c.4034delA and c.5266dupC in a population-based series of unselected breast (n = 2546) and ovarian (n = 795) cancer cases. Among the BRCA1 mutation carriers identified in this analysis we compared the overall survival, age at diagnosis and family histories of breast and ovarian cancers.

resultsWe have found that the prevalence of breast and ovarian cancer cases (breast: ovarian cancer ratio) differs significantly among the carriers of the c.5266dupC and c.4034delA founder mutations (OR = 2.98, 95%CI = 1.58 to 5.62, P < 0.001). We have also found a difference in the prevalence of breast and ovarian cancer cases among the 1st and 2nd degree relatives of the c.4034delA and c.5266dupC mutation carriers. In addition, among the breast cancer cases the c.4034delA mutation has been associated with a later age of onset and worse clinical outcomes in comparison with the c.5266dupC mutation.

conclusionsOur data suggest that the carriers of the c.4034delA and c.5266dupC founder mutations have different risks of breast and ovarian cancer development, different age of onset and prognosis of breast cancer.

Indexed as

Genes, BRCA1Mutagenesis, InsertionalSequence DeletionAdultAgedAged, 80 and overAge of OnsetBreast NeoplasmsFemaleFounder EffectGenetic Association StudiesHumansLatviaMiddle AgedOvarian NeoplasmsPrevalence

Identifiers

PMID22032251
PMCPMC3221648

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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.