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Efficient and cost-effective genetic analysis of products of conception and fetal tissues using a QF-PCR/array CGH strategy; five years of data

Overview of attention for article published in Molecular Cytogenetics, April 2017
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Title
Efficient and cost-effective genetic analysis of products of conception and fetal tissues using a QF-PCR/array CGH strategy; five years of data
Published in
Molecular Cytogenetics, April 2017
DOI 10.1186/s13039-017-0313-9
Pubmed ID
Authors

Celia Donaghue, Nada Davies, Joo Wook Ahn, Helen Thomas, Caroline Mackie Ogilvie, Kathy Mann

Abstract

Traditional testing of miscarriage products involved culture of tissue followed by G-banded chromosome analysis; this approach has a high failure rate, is labour intensive and has a resolution of around 10 Mb. G-banded chromosome analysis has been replaced by molecular techniques in some laboratories; we previously introduced a QF-PCR/MLPA testing strategy in 2007. To improve diagnostic yield and efficiency we have now updated our testing strategy to a more comprehensive QF-PCR assay followed by array CGH. Here we describe the results from the last 5 years of service. Fetal tissue samples and products of conception were tested using QF-PCR which will detect aneuploidy for chromosomes 13, 14, 15, 16, 18, 21, 22, X and Y. Samples that were normal were then tested by aCGH and all imbalance >1Mb and fully penetrant clinically significant imbalance <1Mb was reported. QF-PCR analysis identified aneuploidy/triploidy in 25.6% of samples. aCGH analysis detected imbalance in a further 9.6% of samples; this included 1.8% with submicroscopic imbalance and 0.5% of uncertain clinical significance. This approach has a failure rate of 1.4%, compared to 30% for G-banded chromosome analysis. This efficient QF-PCR/aCGH strategy has a lower failure rate and higher diagnostic yield than karyotype or MLPA strategies; both findings are welcome developments for couples with recurrent miscarriage.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 15%
Student > Bachelor 5 15%
Student > Ph. D. Student 4 12%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 6 18%
Unknown 9 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 38%
Medicine and Dentistry 9 26%
Unspecified 1 3%
Computer Science 1 3%
Engineering 1 3%
Other 0 0%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2017.
All research outputs
#18,542,806
of 22,965,074 outputs
Outputs from Molecular Cytogenetics
#235
of 402 outputs
Outputs of similar age
#235,479
of 309,560 outputs
Outputs of similar age from Molecular Cytogenetics
#4
of 8 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 402 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.