Identifying chromosomal fragile sites from individuals: a multinomial statistical model. Academic Article uri icon


  • The inability to identify fragile sites from data for single individuals remains the major obstacle to determining whether these chromosomal loci are predisposed to cancer-causing and evolutionary rearrangements. We describe a novel statistical model that is amenable to data from single individuals and that establishes site-specific chromosomal breakage as nonrandom with respect to the distribution of total breakage. Our method tests incrementally smaller subsets of the data for homogeneity under a multinomial model that assigns equal probabilities to a maximal set of nonfragile sites and unrestricted probabilities to the remaining fragile sites with significantly higher numbers of breaks. We show how standardized Pearson's chi-square (X2) and likelihood-ratio (G2) statistics can be appropriately used to measure goodness-of-fit for sparse contingency (individual-based) data in this model. A sample application of this approach indicates extensive variation in fragile sites among individuals and marked differences in fragile-site inferences from pooled as opposed to per-individual data.

published proceedings

  • Hum Genet

author list (cited authors)

  • Bhm, U., Dahm, P. F., McAllister, B. F., & Greenbaum, I. F.

citation count

  • 17

complete list of authors

  • Böhm, U||Dahm, PF||McAllister, BF||Greenbaum, IF

publication date

  • March 1995