Journal article
Identifying chromosomal fragile sites from individuals: a multinomial statistical model
Human genetics, Vol.95(3), pp.249-256
03/1995
DOI: 10.1007/BF00225189
PMID: 7868115
Abstract
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.
Details
- Title: Subtitle
- Identifying chromosomal fragile sites from individuals: a multinomial statistical model
- Creators
- U Böhm - Department of Statistics, Texas A & M University, College Station 77843P F DahmB F McAllisterI F Greenbaum
- Resource Type
- Journal article
- Publication Details
- Human genetics, Vol.95(3), pp.249-256
- Publisher
- Germany
- DOI
- 10.1007/BF00225189
- PMID
- 7868115
- ISSN
- 0340-6717
- eISSN
- 1432-1203
- Grant note
- GM-27014 / NIGMS NIH HHS
- Language
- English
- Date published
- 03/1995
- Academic Unit
- Biology
- Record Identifier
- 9983992048102771
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