Evidence map›Paper›PMID 41528113›Full record

ReviewClinical genetics2026

Copy Number Variants in the 11p15.5 Associated Imprinting Disorders: An Attempt to Establish a Genotype-Phenotype Correlation.

Anastasia Maria Licata, Elke Botzenhart, Katja Kloth-Stachnau, Thomas Eggermann

Abstract readReview
In one paragraph

Review in Clinical genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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

4 authors.

Anastasia Maria LicataCenter for Human Genetics and Genome Medicine, Medical Faculty, RWTH University Aachen, Aachen, Germany.
Elke BotzenhartInstitute for Clinical Genetics, Klinikum Stuttgart, Stuttgart, Germany.
Katja Kloth-Stachnauamedes MVZ für Humangenetik Hamburg GmbH, Hamburg, Germany.
Thomas EggermannCenter for Human Genetics and Genome Medicine, Medical Faculty, RWTH University Aachen, Aachen, Germany.ORCID 0000-0002-8419-0264

Funding

Deutsche Forschungsgemeinschaft EG115/13
6 · The paper itself

Abstract

Copy number variations (CNVs) affecting the imprinted regions in 11p15.5 (imprinting centre 1 and 2/IC1, IC2) account for more than 2% of the molecular disturbances in Beckwith-Wiedemann and Silver-Russell syndrome (BWS, SRS) and are associated with a recurrence probability of up to 50%. However, their clinical impact can be challenging to estimate, as it depends on the type of imbalance, the parental origin of the affected allele, its size and genomic content. As a result, a genotype-phenotype correlation of 11p15.5 alterations is still missing, at least for CNVs affecting only parts of the IC1 or IC2. By comprehensively summarising all published CNVs within 11p15.5 and the available clinical data of their carriers, we aim to further delineate a correlation of these disturbances with BWS and SRS features. In fact, consistent correlations could be delineated only for duplications including either both the telomeric and centromeric regions or complete gains of one of them. In contrast, CNVs encompassing only parts of these regions lead to heterogeneous phenotypes. In summary, our literature review provides support for pathogenicity assessment of CNVs in 11p15.5 as basis for genetic counselling. However, this dataset underlines the need for further research to enlighten the molecular complexity of this region and to better understand the regulation of genomic imprinting mechanisms in 11p15.5.

Indexed as

Beckwith-Wiedemann SyndromeChromosomes, Human, Pair 11DNA Copy Number VariationsGenetic Association StudiesGenomic ImprintingSilver-Russell SyndromeHumansPhenotype11p15.5 copy number variantsBeckwith–Wiedemann syndromegenotype–phenotype correlationSilver–Russell syndrome

Identifiers

PMID41528113
PMCPMC13167635

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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.