X-linked clonality testing: interpretation and limitations

Blood. 2007 Sep 1;110(5):1411-9. doi: 10.1182/blood-2006-09-018655. Epub 2007 Apr 13.

Abstract

Clonality often defines the diseased state in hematology. Clonal cells are genetically homogenous and derived from the same precursor; their detection is based on genotype or phenotype. Genotypic clonality relies on somatic mutations to mark the clonal population. Phenotypic clonality identifies the clonal population by the expression pattern of surrogate genes that track the clonal process. The most commonly used phenotypic clonality methods are based on the X-chromosome inactivation principle. Clonality detection based on X-chromosome inactivation patterns (XCIP) requires discrimination of the active from the inactive X chromosome and differentiation of each X chromosome's parental origin. Detection methods are based on detection of X-chromosome sequence polymorphisms identified by protein isoforms, transcribed mRNA, and methylation status. Errors in interpreting clonality tests arise from stochastic, genetic, and cell selection pressures on the mechanism of X inactivation. Progressive X-chromosome skewing has recently been suggested by XCIP clonality studies in aging hematopoietic cells. This has led to new insights into the pathophysiology of X-linked and autoimmune disorders. Other research applications include combining XCIP clonality testing with genetic clonality testing to identify clonal populations with yet-to-be-discovered genetic changes.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Autoimmune Diseases / genetics*
  • Autoimmune Diseases / metabolism
  • Cellular Senescence / genetics
  • Chromosomes, Human, X / genetics*
  • Chromosomes, Human, X / metabolism
  • Genes, X-Linked / genetics
  • Genetic Diseases, X-Linked / genetics*
  • Genetic Diseases, X-Linked / metabolism
  • Hematopoietic Stem Cells* / metabolism
  • Humans
  • X Chromosome Inactivation / genetics*