Evidence map›Paper›PMID 15879501›Full record

ArticleJournal of medical genetics2005

Global analysis of uniparental disomy using high density genotyping arrays.

S Bruce, R Leinonen, C M Lindgren, K Kivinen, K Dahlman-Wright, M Lipsanen-Nyman, K Hannula-Jouppi, J Kere

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 42 citations in OpenAlex.

  1. Mutational Spectrum, Copy Number Changes, and Outcome: Results of a Sequencing Study of Patients With Newly Diagnosed Myeloma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2015
    Trial
  2. Article
  3. Article
  4. Genome-wide UPD screening in patients with intellectual disability.European journal of human genetics : EJHG · 2014
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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

8 authors at 3 institutions in 2 countries.

S BruceDepartment of Biosciences at Novum, Karolinska Institutet, Huddinge, Sweden.
R Leinonen
C M Lindgren
K Kivinen
K Dahlman-Wright
M Lipsanen-Nyman
K Hannula-Jouppi
J Kere
Karolinska Institutet · SEHelsinki Children's Hospital · FIUniversity of Helsinki · FI

Funding

Wellcome Trust 090532
6 · The paper itself

Abstract

backgroundUniparental disomy (UPD), the inheritance of both copies of a chromosome from a single parent, has been identified as the cause for congenital disorders such as Silver-Russell, Prader-Willi, and Angelman syndromes. Detection of UPD has largely been performed through labour intensive screening of DNA from patients and their parents, using microsatellite markers.

methodsWe applied high density single nucleotide polymorphism (SNP) microarrays to diagnose whole chromosome and segmental UPD and to study the occurrence of continuous or interspersed heterodisomic and isodisomic regions in six patients with Silver-Russell syndrome patients who had maternal UPD for chromosome 7 (matUPD7).

resultsWe have devised a new high precision and high-throughput computational method to confirm UPD and to localise segments where transitions of UPD status occur. Our method reliably confirmed and mapped the matUPD7 regions in all patients in our study.

conclusionOur results suggest that high density SNP arrays can be reliably used for rapid and efficient diagnosis of both segmental and whole chromosome UPD across the entire genome.

Indexed as

GenotypeChromosome MappingFemaleGenomeGenomic ImprintingHumansMaleModels, GeneticMutationOligonucleotide Array Sequence AnalysisPhenotypePolymorphism, Single NucleotideSequence Analysis, DNAUniparental Disomy

Identifiers

PMID15879501
PMCPMC1735941
OpenAlexW2155714507

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.