Evidence map›Paper›PMID 22707356›Full record

ArticleNeuromolecular medicine2012

Assessing pathogenicity for novel mutation/sequence variants: the value of healthy older individuals.

Mayana Zatz, Rita de Cassia M Pavanello, Naila Cristina V Lourenço, Antonia Cerqueira, Monize Lazar, Mariz Vainzof

Abstract readCase Reports
In one paragraph

Article in Neuromolecular medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Frontiers in neurology · 2023
    Review
  4. Review
  5. 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

6 authors.

Mayana ZatzDepartamento de Genética e Biologia Evolutiva, Centro de Estudos do Genoma Humano, Universidade de São Paulo, Rua do Matão, 106, Cidade Universitária, São Paulo, SP, 05508-090, Brazil. mayazatz@usp.br
Rita de Cassia M Pavanello
Naila Cristina V Lourenço
Antonia Cerqueira
Monize Lazar
Mariz Vainzof

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improvement in DNA technology is increasingly revealing unexpected/unknown mutations in healthy persons and generating anxiety due to their still unknown health consequences. We report a 44-year-old healthy father of a 10-year-old daughter with bilateral coloboma and hearing loss, but without muscle weakness, in whom a whole-genome CGH revealed a deletion of exons 38-44 in the dystrophin gene. This mutation was inherited from her asymptomatic father, who was further clinically and molecularly evaluated for prognosis and genetic counseling (GC). This deletion was never identified by us in 982 Duchenne/Becker patients. To assess whether the present case represents a rare case of non-penetrance, and aiming to obtain more information for prognosis and GC, we suggested that healthy older relatives submit their DNA for analysis, to which several complied. Mutation analysis revealed that his mother, brother, and 56-year-old maternal uncle also carry the 38-44 deletion, suggesting it an unlikely cause of muscle weakness. Genome sequencing will disclose mutations and variants whose health impact are still unknown, raising important problems in interpreting results, defining prognosis, and discussing GC. We suggest that, in addition to family history, keeping the DNA of older relatives could be very informative, in particular for those interested in having their genome sequenced.

Indexed as

Biological Specimen BanksFaciesSequence DeletionAdultAsymptomatic DiseasesBiopsyCausalityChildChild Behavior DisordersChromosomes, Human, XCognition DisordersColobomaComparative Genomic HybridizationDNADystrophinExonsDMD protein, humanDNADystrophin

Identifiers

PMID22707356
PMCPMC3505535

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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.