Evidence map›Paper›PMID 41094176›Full record

ArticleEuropean journal of human genetics : EJHG2026

Updated penetrance estimates for recurrent copy number variants - an improved definition and formula.

Shuxiang Goh, Tracy Dudding-Byth, Mark Pinese, Edwin P Kirk

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. New year, new insights in genomic medicine.European journal of human genetics : EJHG · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Shuxiang GohSchool of Women and Children's Health, University of New South Wales, Sydney, NSW, Australia. shuxiang.goh@health.nsw.gov.au.ORCID http://orcid.org/0000-0003-1753-5872
Tracy Dudding-BythNew South Wales Health, Sydney, NSW, Australia.
Mark PineseSchool of Women and Children's Health, University of New South Wales, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-5078-6687
Edwin P KirkSchool of Women and Children's Health, University of New South Wales, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-4662-0024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many copy number variants (CNVs) are implicated in neurodevelopmental disability, but exhibit incomplete penetrance. The definition of penetrance is often unclear. In published literature, penetrance typically includes the background risk of disease, while clinicians tend to exclude risks unrelated to the genetic variant. We propose a more clinically relevant definition of penetrance and develop a new formula for this. These changes are applied to existing data sources to produce updated penetrance estimates. Our findings indicate that most CNVs studied have significantly lower penetrance than previously published. Eleven CNVs, previously described as low-penetrant, are recalculated as having a penetrance close to 0% for intellectual disability. These include 1q21.1 proximal duplications [RBM8A], 2q11.2 deletions [TMEM127], 2q13 proximal deletions and duplications [NPHP1], 6q16 duplications [SIM1], 13q12 deletions [CRYL1], 15q11.2 duplications [NIPA1, NIPA2], 15q13.3 duplications [CHRNA7], 16p12.2 duplications [CDR2], 16p13.11 duplications [MYH11] and Xp22.3 duplications [SHOX]. Previous estimates of CNV penetrance, which ranged from 10-40% have been recalculated as 1-10%. In conclusion, many previously published estimates of CNV penetrance are inflated. Re-evaluation of existing data reveals lower and more accurate penetrance estimates for intellectual disability. This has important implications for diagnosis, genetic counselling, and prenatal reporting of recurrent CNVs.

Indexed as

DNA Copy Number VariationsIntellectual DisabilityPenetranceGenetic TestingHumans

Identifiers

PMID41094176
PMCPMC12816643

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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.