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Molecular karyotyping in patients with mental retardation using 100K single-nucleotide polymorphism arrays
  1. Juliane Hoyer1,
  2. Alexander Dreweke2,
  3. Christian Becker3,
  4. Ina Göhring1,
  5. Christian T Thiel1,
  6. Maarit M Peippo4,
  7. Ralf Rauch5,
  8. Michael Hofbeck5,
  9. Udo Trautmann1,
  10. Christiane Zweier1,
  11. Martin Zenker1,
  12. Ulrike Hüffmeier1,
  13. Cornelia Kraus1,
  14. Arif B Ekici1,
  15. Franz Rüschendorf6,
  16. Peter Nürnberg3,
  17. André Reis1,
  18. Anita Rauch1
  1. 1Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
  2. 2Computer Science Department 2, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
  3. 3Cologne Center for Genomics and Center for Molecular Medicine Cologne, University Cologne, Germany
  4. 4Department of Medical Genetics, Family Federation of Finland, Helsinki, Finland
  5. 5Pediatric University Hospital Tübingen, Tübingen, Germany
  6. 6Gene Mapping Center, Max-Delbrück-Center for Molecular Medicine Berlin-Buch, Germany
  1. Correspondence to:
 Dr med Anita Rauch
 Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Schwabachanlage 10, 91054 Erlangen, Germany; arauch{at}humgenet.uni-erlangen.de

Abstract

Background: Using array techniques, it was recently shown that about 10% of patients with mental retardation of unknown origin harbour cryptic chromosomal aneusomies. However, data analysis is currently not standardised and little is known about its sensitivity and specificity.

Methods: We have developed an electronic data analysis tool for gene-mapping SNP arrays, a software tool that we call Copy Number Variation Finder (CNVF). Using CNVF, we analysed 104 unselected patients with mental retardation of unknown origin with a genechip mapping 100K SNP array and established an optimised set of analysis parameters.

Results: We detected deletions as small as 20 kb when covered by at least three single-nucleotide polymorphisms (SNPs) and duplications as small as 150 kb when covered by at least six SNPs, with only one false-positive signal in six patients. In 9.1% of patients, we detected apparently disease-causing or de novo aberrations ranging in size from 0.4 to 14 Mb. Morphological anomalies in patients with de novo aberrations were equal to that of unselected patients when measured with de Vries score.

Conclusion: Our standardised CNVF data analysis tool is easy to use and has high sensitivity and specificity. As some genomic regions are covered more densely than others, the genome-wide resolution of the 100K array is about 400–500 kb for deletions and 900–1000 kb for duplications. The detection rate of about 10% of de novo aberrations is independent of selection of patients for particular features. The incidental finding in two patients of heterozygosity for the 250 kb recurrent deletion at the NPH1 locus, associated with autosomal recessive juvenile nephronophthisis, which was inherited from a healthy parent, highlights the fact that inherited aberrations might be disease-related even though not causal for mental retardation.

  • BAC, bacterial artificial chromosome
  • CGH, comparative genomic hybridisation
  • CNAG, Copy Number Analyser for GeneChip
  • CNAT, Copy Number Analysis Tool
  • CNVF, Copy Number Variation Finder
  • DFA, deterministic finite automata
  • FISH, fluorescence in situ hybridisation
  • GSA, genomic smoothing algorithm
  • OMIM, Online Mendelian Inheritance in Man
  • PAC, P1-derived artificial chromosome
  • qPCR, quantitative PCR
  • SNP, single-nucleotide polymorphism
  • SPA, single-point analysis
  • molecular karyotyping
  • 100K SNP array
  • mental retardation
  • copy number variation finder
  • NPH1

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Footnotes

  • Published Online First 29 June 2007

  • Competing interests: None declared.

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