Evidence map›Paper›PMID 18832372›Full record

ArticleNucleic acids research2008

Modeling genetic inheritance of copy number variations.

Kai Wang, Zhen Chen, Mahlet G Tadesse, Joseph Glessner, Struan F A Grant, Hakon Hakonarson, Maja Bucan, Mingyao Li

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Copy Number Variant Duplications Associated with Essential Tremor.Tremor and other hyperkinetic movements (New York, N.Y.) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Impact of Genetic Testing on Therapeutic Decision-Making in Childhood-Onset Epilepsies-a Study in a Tertiary Epilepsy Center.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Article
  11. Recurrent Rare Copy Number Variants Increase Risk for Esotropia.Investigative ophthalmology & visual science · 2020
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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  20. 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

8 authors.

Kai WangDepartment of Genetics, Division of Human Genetics, Center for Applied Genomics, The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA. wangk@chop.edu
Zhen Chen
Mahlet G Tadesse
Joseph Glessner
Struan F A Grant
Hakon Hakonarson
Maja Bucan
Mingyao Li

Funding

Center for Genomic and Phenomic Studies in AutismU24MH081810 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LAJONCHERE, CLARA M · 2007 to 2011
$8.3M
Developing Statistical Methods for Disease Gene DiscoveryR01HG004517 · NHGRI · VANDERBILT UNIVERSITY · PI LI, CHUN, LI, MINGYAO · 2008 to 2012
$1.9M
NHGRI NIH HHS R01HG004517NIMH NIH HHS 1U24MH081810NIMH NIH HHS R01-MH604687NIMH NIH HHS U24 MH081810
6 · The paper itself

Abstract

Copy number variations (CNVs) are being used as genetic markers or functional candidates in gene-mapping studies. However, unlike single nucleotide polymorphism or microsatellite genotyping techniques, most CNV detection methods are limited to detecting total copy numbers, rather than copy number in each of the two homologous chromosomes. To address this issue, we developed a statistical framework for intensity-based CNV detection platforms using family data. Our algorithm identifies CNVs for a family simultaneously, thus avoiding the generation of calls with Mendelian inconsistency while maintaining the ability to detect de novo CNVs. Applications to simulated data and real data indicate that our method significantly improves both call rates and accuracy of boundary inference, compared to existing approaches. We further illustrate the use of Mendelian inheritance to infer SNP allele compositions in each of the two homologous chromosomes in CNV regions using real data. Finally, we applied our method to a set of families genotyped using both the Illumina HumanHap550 and Affymetrix genome-wide 5.0 arrays to demonstrate its performance on both inherited and de novo CNVs. In conclusion, our method produces accurate CNV calls, gives probabilistic estimates of CNV transmission and builds a solid foundation for the development of linkage and association tests utilizing CNVs.

Indexed as

Genetic VariationInheritance PatternsModels, GeneticAlgorithmsChromosomes, HumanComputer SimulationGene DosageGenome, HumanGenomicsHumansMarkov ChainsModels, StatisticalOligonucleotide Array Sequence AnalysisPolymorphism, Single Nucleotide

Identifiers

PMID18832372
PMCPMC2588508

What OpenQuestion holds

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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.