Evidence map›Paper›PMID 22984989›Full record

ArticleBMC medical genetics2012

High-resolution SNP array analysis of patients with developmental disorder and normal array CGH results.

Linda Siggberg, Sirpa Ala-Mello, Ala-Mello Sirpa, Tarja Linnankivi, Linnankivi Tarja, Kristina Avela, Avela Kristiina, Ilari Scheinin, Scheinin Ilari, Kati Kristiansson and 15 more

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Article in BMC medical genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Linda SiggbergDepartment of Pathology, Haartman Institute, University of Helsinki, Finland. linda.siggberg@helsinki.fi
Sirpa Ala-Mello
Ala-Mello Sirpa
Tarja Linnankivi
Linnankivi Tarja
Kristina Avela
Avela Kristiina
Ilari Scheinin
Scheinin Ilari
Kati Kristiansson
Kristiansson Kati
Päivi Lahermo
Lahermo Päivi
Marja Hietala
Hietala Marja
Lisa Metsähonkala
Metsähonkala Liisa
Esa Kuusinen
Kuusinen Esa
Maarit Laaksonen
Laaksonen Maarit
Janna Saarela
Saarela Janna
Sakari Khuutila
Knuutila Sakari

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnostic analysis of patients with developmental disorders has improved over recent years largely due to the use of microarray technology. Array methods that facilitate copy number analysis have enabled the diagnosis of up to 20% more patients with previously normal karyotyping results. A substantial number of patients remain undiagnosed, however. METHODS AND

resultsUsing the Genome-Wide Human SNP array 6.0, we analyzed 35 patients with a developmental disorder of unknown cause and normal array comparative genomic hybridization (array CGH) results, in order to characterize previously undefined genomic aberrations. We detected no seemingly pathogenic copy number aberrations. Most of the vast amount of data produced by the array was polymorphic and non-informative. Filtering of this data, based on copy number variant (CNV) population frequencies as well as phenotypically relevant genes, enabled pinpointing regions of allelic homozygosity that included candidate genes correlating to the phenotypic features in four patients, but results could not be confirmed.

conclusionsIn this study, the use of an ultra high-resolution SNP array did not contribute to further diagnose patients with developmental disorders of unknown cause. The statistical power of these results is limited by the small size of the patient cohort, and interpretation of these negative results can only be applied to the patients studied here. We present the results of our study and the recurrence of clustered allelic homozygosity present in this material, as detected by the SNP 6.0 array.

Indexed as

Comparative Genomic HybridizationOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideDevelopmental DisabilitiesDNA Copy Number VariationsHomozygoteHumansMicrosatellite RepeatsUniparental Disomy

Identifiers

PMID22984989
PMCPMC3523000

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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.