Cited by 328Genomic variations and chromosomal abnormalitiesGenomics and Rare DiseasesGenome Rearrangement Algorithms

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De novo rates and selection of large copy number variation

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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.

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Metadata

Authors
Itsara, A., Wu, H., Smith, J. D., Nickerson, D. A., Romieu, I., London, S. J., & Eichler, E. E.
Affiliations
  • University of Washington (US)
  • National Institutes of Health (US)
  • Instituto Nacional de Salud Pública (MX)
  • Howard Hughes Medical Institute (US)
Venue
Genome Research
Published
2010-09-14
Volume
20
Issue
11
Pages
1469-1481
ISSN
1088-9051 (ISSN-L)
OpenAlex
W2158959870
Cited by
328
References
65
Citations by year
2026: 4 · 2025: 5 · 2024: 9 · 2023: 9 · 2022: 8 · 2021: 14 · 2020: 16 · 2019: 10 · 2018: 43 · 2017: 19 · 2016: 30 · 2015: 25 · 2014: 25 · 2013: 36 · 2012: 43
Type
posted content
Language
en
Open access
Locations
  • Genome Research (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (submittedVersion)
Funders
  • Howard Hughes Medical Institute
  • U.S. Department of Health and Human Services
  • Autism Speaks
  • Simons Foundation
  • Simons Foundation Autism Research Initiative (137578)
  • Consejo Nacional de Ciencia y Tecnología (26206-M)
  • National Institutes of Health (26206-M)
  • National Institute of Mental Health (U24MH081810)
  • National Institute of General Medical Sciences (T32GM007266)
  • National Institute of Environmental Health Sciences (26206-M, ES049019, ES025045, ZIAES049019, ZIAES025045)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
Keywords
copy number variation, de novo mutations, mutation rate, purifying selection, mutation-selection balance, autism spectrum disorder, human pedigrees, SNP array, parental bias
MeSH terms
Adolescent, Asthma, Autistic Disorder, Base Sequence, Child, Child, Preschool, Female, Gene Frequency, Humans, Male, Pedigree, Selection, Genetic, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Genome-Wide Association Study, DNA Copy Number Variations

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