Estimation of physical distance in the genome through probabilistic analysis of marker density and Yeast Artificial Chromosome (YAC) size

James A. Koziol, Bruce Beutler

Research output: Contribution to journalArticle

Abstract

Knowledge of the physical distance separating polymorphic markers which flank a region of interest can be usefully exploited in positional cloning methodology. We present a mathematical model for estimating this distance based on simple conditions generally met in practice. We illustrate estimation and construction of confidence intervals based on the model with data from a recent positional cloning experiment.

Original languageEnglish (US)
Pages (from-to)251-257
Number of pages7
JournalBiometrical Journal
Volume41
Issue number2
StatePublished - 1999

Fingerprint

Probabilistic Analysis
Yeast
Chromosome
Genome
Region of Interest
Confidence interval
Mathematical Model
Methodology
Experiment
Cloning
Model
Knowledge
Mathematical model

Keywords

  • Polymorphic markers
  • Positional cloning
  • STSs
  • YACs

ASJC Scopus subject areas

  • Statistics and Probability

Cite this

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abstract = "Knowledge of the physical distance separating polymorphic markers which flank a region of interest can be usefully exploited in positional cloning methodology. We present a mathematical model for estimating this distance based on simple conditions generally met in practice. We illustrate estimation and construction of confidence intervals based on the model with data from a recent positional cloning experiment.",
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