Integrated Genomic Analysis Implicates Haploinsufficiency of Multiple Chromosome 5q31.2 Genes in De Novo Myelodysplastic Syndromes Pathogenesis
2009

Genetic Analysis of Myelodysplastic Syndromes and Chromosome 5q31.2

Sample size: 46 publication 10 minutes Evidence: high

Author Information

Author(s): Timothy A. Graubert, Michelle A. Payton, Jin Shao, Richard A. Walgren, Ryan S. Monahan, John L. Frater, Mark A. Walshauser, Mike G. Martin, Yumi Kasai, Matthew J. Walter

Primary Institution: Washington University School of Medicine

Hypothesis

Does haploinsufficiency of multiple chromosome 5q31.2 genes contribute to the pathogenesis of de novo myelodysplastic syndromes?

Conclusion

The study shows that haploinsufficiency of multiple genes in the 5q31.2 region is likely the relevant genetic consequence of deletions associated with myelodysplastic syndromes.

Supporting Evidence

  • Deletions on chromosome 5q31.2 are common in myelodysplastic syndromes.
  • Prior studies suggested haploinsufficiency of multiple genes in this region contributes to disease.
  • The study found no somatic nucleotide changes in the analyzed MDS samples.
  • Twelve novel single nucleotide polymorphisms were discovered.
  • Gene expression levels of several genes were significantly reduced in MDS samples with deletions.

Takeaway

Scientists looked at genes on a specific part of chromosome 5 to see if missing parts could cause a blood disease called myelodysplastic syndrome. They found that losing many genes at once is more common than losing just one.

Methodology

The study involved total exonic gene resequencing and array comparative genomic hybridization on paired tumor and germline DNA samples from 46 de novo MDS patients.

Limitations

The study may not have detected all possible mutations due to cellular heterogeneity in MDS samples.

Participant Demographics

The study included 46 adult patients with de novo MDS, with a median age of 63.5 years, including 30 males and 16 females.

Statistical Information

P-Value

p=0.048 for CDC25C R70C and p=2.187E-10 for KLHL3 A157A

Confidence Interval

95% confidence interval for CDC25C R70C is 1.030–3.272 and for KLHL3 A157A is 5.914–1673

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0004583

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