Evidence map›Paper›PMID 26279624›Full record

ArticleGenomics insights2010

Design, Construction and Validation of Targeted BAC Array-Based CGH Test for Detecting the Most Commons Chromosomal Abnormalities.

Stefano Gambardella, Erika Ciabattoni, Francesca Motta, Giusy Stoico, Francesca Gullotta, Michela Biancolella, Anna Maria Nardone, Antonio Novelli, Ercole Brunetti, Laura Bernardini and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Genomics insights, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 89% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 5 institutions in 1 country.

Stefano GambardellaDepartment of Biopathology, Tor Vergata University, Rome, Italy. ; Fondazione Livio Patrizi, Rome, Italy.
Erika CiabattoniTechnogenetics srl, Sesto San Giovanni, Milan, Italy.
Francesca MottaTechnogenetics srl, Sesto San Giovanni, Milan, Italy.
Giusy StoicoTechnogenetics srl, Sesto San Giovanni, Milan, Italy.
Francesca GullottaAzienda Ospedaliera Universitaria Policlinico Tor Vergata, Rome, Italy.
Michela BiancolellaDepartment of Biopathology, Tor Vergata University, Rome, Italy. ; Department of Preventive Medicine, Harlyne Norris Research Tower, University of Southern California, Los Angeles, CA.
Anna Maria NardoneAzienda Ospedaliera Universitaria Policlinico Tor Vergata, Rome, Italy.
Antonio NovelliIRCCS-CSS San Giovanni Rotondo and CSS-Mendel, Rome, Italy.
Ercole BrunettiOspedale San Pietro Fatebenefratelli, Rome, Italy.
Laura BernardiniIRCCS-CSS San Giovanni Rotondo and CSS-Mendel, Rome, Italy.
Giuseppe NovelliDepartment of Biopathology, Tor Vergata University, Rome, Italy. ; Azienda Ospedaliera Universitaria Policlinico Tor Vergata, Rome, Italy. ; Fondazione Livio Patrizi, Rome, Italy.
Policlinico Tor Vergata · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITFondazione Roma · ITOspedale San Pietro Fatebenefratelli · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We designed a targeted-array called GOLD (Gain or Loss Detection) Chip consisting of 900 FISH-mapped non-overlapping BAC clones spanning the whole genome to enhance the coverage of 66 unique human genomic regions involved in well known microdeletion/microduplication syndromes. The array has a 10 Mb backbone to guarantee the detection of the aneuploidies, and has an implemented resolution for telomeres, and for regions involved in common genomic diseases. In order to evaluate clinical diagnostic applicability of GOLDChip, analytical validity was carried-out via retrospective analysis of DNA isolated from a series of cytogenetically normal amniocytes and cytogenetically abnormal DNA obtained from cultured amniocytes, peripheral blood and/or cell lines. We recruited 47 DNA samples corresponding to pathologies with significant frequencies (Cri du Chat syndrome, Williams syndrome, Prader Willi/Angelman syndromes, Smith-Magenis syndrome, DiGeorge syndrome, Miller-Dieker syndrome, chromosomes 13, 18 and 21 trisomies). We set up an experimental protocol that allowed to identify chromosomal rearrangements in all the DNA samples analyzed. Our results provide evidence that our targeted BAC array can be used for the identification of the most common microdeletion syndromes and common aneuploidies.

Indexed as

aCGHaneuploidiesBAC clonesmicrodeletionsmicroduplicationstargeted array

Identifiers

PMID26279624
PMCPMC4510597
OpenAlexW2049422414

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.