Evidence map›Paper›PMID 17428316›Full record

ArticleBMC medical genetics2007

Ovarian dysfunction and FMR1 alleles in a large Italian family with POF and FRAXA disorders: case report.

Maria Giuseppina Miano, Carmela Laperuta, Pietro Chiurazzi, Michele D'Urso, Matilde Valeria Ursini

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC medical genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Unstable mutations in the FMR1 gene and the phenotypes.Advances in experimental medicine and biology · 2012
    Review
  6. 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

5 authors at 2 institutions in 1 country.

Maria Giuseppina MianoInstitute of Genetics and Biophysics, Adriano Buzzati Traverso, CNR, Naples, Italy. miano@igb.cnr.it
Carmela Laperuta
Pietro Chiurazzi
Michele D'Urso
Matilde Valeria Ursini
Institute of Genetics and Biophysics · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between premature ovarian failure (POF) and the FMR1 repeat number (41> CGGn< 200) has been widely investigated. Current findings suggest that the risk estimation for POF can be calculated in the offspring of women with pre-mutated FMR1 alleles. CASE PRESENTATION: We describe the coexistence in a large Italian kindred of Fragile X syndrome and familial POF in females with ovarian dysfunctions who carried normal or expanded FMR1 alleles. Genetic analysis of the FMR1 gene in over three generations of females revealed that six carried pre-mutated alleles (61-200), of which two were also affected by POF. However a young woman, who presented a severe ovarian failure with early onset, carried normal FMR1 alleles (<40). The coexistence within the same family of two dysfunctional ovarian conditions, one FMR1-related and one not FMR1-related, suggests that the complexity of familial POF conditions is larger than expected.

conclusionOur case study represents a helpful observation and will provide familial cases with heterogeneous etiology that could be further studied when candidate genes in addition to the FMR1 premutation will be available.

Indexed as

AdultAgedAllelesFemaleFragile X Messenger Ribonucleoprotein 1Fragile X SyndromeGenotypeHumansItalyMaleMiddle AgedPedigreePrimary Ovarian InsufficiencyTrinucleotide Repeat ExpansionX Chromosome InactivationFMR1 protein, humanFragile X Messenger Ribonucleoprotein 1

Identifiers

PMID17428316
PMCPMC1859987
OpenAlexW2094954688

What OpenQuestion holds

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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.