Evidence map›Paper›PMID 22847778›Full record

ArticlePrenatal diagnosis2012

Detection rates of clinically significant genomic alterations by microarray analysis for specific anomalies detected by ultrasound.

Lisa G Shaffer, Jill A Rosenfeld, Mindy P Dabell, Justine Coppinger, Anne M Bandholz, Jay W Ellison, J Britt Ravnan, Beth S Torchia, Blake C Ballif, Allan J Fisher

Open access · greenAbstract read
In one paragraph

Article in Prenatal diagnosis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 3 pooled it
19.2field-weighted citation impact, top 1% 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

96 citing papers in PubMed, 3 syntheses or guidelines pooled it, 268 citations in OpenAlex.

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36 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

Lisa G ShafferSignature Genomic Laboratories, PerkinElmer, Inc., Spokane, Washington, USA. lisa.shaffer@perkinelmer.com
Jill A Rosenfeld
Mindy P Dabell
Justine Coppinger
Anne M Bandholz
Jay W Ellison
J Britt Ravnan
Beth S Torchia
Blake C Ballif
Allan J Fisher
PerkinElmer (United States) · USSignature Research (United States) · USVirginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study is to understand the diagnostic utility of comparative genomic hybridization (CGH)-based microarrays for pregnancies with abnormal ultrasound findings.

methodsWe performed a retrospective analysis of 2858 pregnancies with abnormal ultrasounds and normal karyotypes (when performed) tested in our laboratory using CGH microarrays targeted to known chromosomal syndromes with later versions providing backbone coverage of the entire genome. Abnormalities were stratified according to organ system involvement. Detection rates for clinically significant findings among these categories were calculated.

resultsClinically significant genomic alterations were identified in cases with a single ultrasound anomaly (n = 99/1773, 5.6%), anomalies in two or more organ systems (n = 77/808, 9.5%), isolated growth abnormalities (n = 2/76, 2.6%), and soft markers (n = 2/77, 2.6%). The following anomalies in isolation or with additional anomalies had particularly high detection rates: holoprosencephaly (n = 9/85, 10.6%), posterior fossa defects (n = 21/144, 14.6%), skeletal anomalies (n = 15/140, 10.7%), ventricular septal defect (n = 14/132, 10.6%), hypoplastic left heart (n = 11/68, 16.2%), and cleft lip/palate (n = 14/136, 10.3%).

conclusionsMicroarray analysis identified clinically significant genomic alterations in 6.5% of cases with one or more abnormal ultrasound findings; the majority were below the resolution of karyotyping. Larger data sets such as this allow for sub-stratification by specific anomalies to determine risks for genomic alterations detectable by microarray analysis.

Indexed as

Chromosome AberrationsComparative Genomic HybridizationAdultBone and BonesBrainCongenital AbnormalitiesFemaleHeart Defects, CongenitalHoloprosencephalyHumansKaryotypingMicroarray AnalysisMutationPregnancyPrenatal DiagnosisRetrospective Studies

Identifiers

PMID22847778
PMCPMC3509216
OpenAlexW1528915864

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.