Evidence map›Paper›PMID 20841430›Full record

ArticleGenome research2010

De novo rates and selection of large copy number variation.

Andy Itsara, Hao Wu, Joshua D Smith, Deborah A Nickerson, Isabelle Romieu, Stephanie J London, Evan E Eichler

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 2 pooled it
–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

171 citing papers in PubMed, 2 syntheses or guidelines pooled it, 334 citations in OpenAlex.

  1. Pooled it
  2. Copy Number Variants in Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2017
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Copy Number Variation in Asthma: An Integrative Review.Clinical reviews in allergy & immunology · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

111 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

7 authors at 4 institutions in 2 countries.

Andy ItsaraDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA.
Hao Wu
Joshua D Smith
Deborah A Nickerson
Isabelle Romieu
Stephanie J London
Evan E Eichler
University of Washington · USNational Institutes of Health · USHoward Hughes Medical Institute · USInstituto Nacional de Salud Pública · MX

Funding

University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
Center for Genomic and Phenomic Studies in AutismU24MH081810 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LAJONCHERE, CLARA M · 2007 to 2011
$8.3M
Genetic Analyses For Epidemiologic Studies Of Respiratory DiseaseZIAES025045 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LONDON, STEPHANIE · 2009 to 2025
$7.3M
Genetic And Environmental Factors In Childhood Respiratory HealthZIAES049019 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LONDON, STEPHANIE · 2009 to 2025
$6.8M
Intramural NIH HHS ZIA ES025045Intramural NIH HHS ZIA ES049019NIEHS NIH HHS ES025045NIEHS NIH HHS ES049019NIGMS NIH HHS T32 GM007266NIMH NIH HHS U24 MH081810
6 · The paper itself

Abstract

While copy number variation (CNV) is an active area of research, de novo mutation rates within human populations are not well characterized. By focusing on large (>100 kbp) events, we estimate the rate of de novo CNV formation in humans by analyzing 4394 transmissions from human pedigrees with and without neurocognitive disease. We show that a significant limitation in directly measuring genome-wide CNV mutation is accessing DNA derived from primary tissues as opposed to cell lines. We conservatively estimated the genome-wide CNV mutation rate using single nucleotide polymorphism (SNP) microarrays to analyze whole-blood derived DNA from asthmatic trios, a collection in which we observed no elevation in the prevalence of large CNVs. At a resolution of ∼30 kb, nine de novo CNVs were observed from 772 transmissions, corresponding to a mutation rate of μ = 1.2 × 10(-2) CNVs per genome per transmission (μ = 6.5 × 10(-3) for CNVs >500 kb). Combined with previous estimates of CNV prevalence and assuming a model of mutation-selection balance, we estimate significant purifying selection for large (>500 kb) events at the genome-wide level to be s = 0.16. Supporting this, we identify de novo CNVs in 717 multiplex autism pedigrees from the AGRE collection and observe a fourfold enrichment (P = 1.4 × 10(-3)) for de novo CNVs in cases of multiplex autism versus unaffected siblings, suggesting that many de novo CNV mutations contribute a subtle, but significant risk for autism. We observe no parental bias in the origin or transmission of CNVs among any of the cohorts studied.

Indexed as

Gene FrequencySelection, GeneticAdolescentAsthmaAutistic DisorderBase SequenceChildChild, PreschoolDNA Copy Number VariationsFemaleGenome-Wide Association StudyHumansMaleOligonucleotide Array Sequence AnalysisPedigreePolymorphism, Single Nucleotide

Identifiers

PMID20841430
PMCPMC2963811
OpenAlexW2158959870

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.