Analysis of Phenotypic Variability in Neurofibromatosis, Type 1

Abstract

This project is designed to characterise the sources of phenotypic variability in neurofibromatosis 1 (NFl) by a combination of clinical, statistical, epidemiological, and molecular genetic methods. During the second year of the project, we analysed associations found in clinical and genetic data from the NNFF International Database with logistic regression, generalized estimating equations. During the third year, the results of these methods were extended to use multivariate probit models on familial data. These are novel statistical techniques that have not been used in this way before and they yielded interesting results about the sources of phenotypic variability in NEl. We were able to determine that the presence of some features of NEl are more influenced by variability in the NEl allele, others by the normal NEl allele and still others by unlinked modifying genes. We have asked for and have received a fourth year, no cost extension to complete the analysis of NEl allele-phenotype associations and to continue to explore some other possible sources of variability, such as imprinting.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2000
Accession Number
ADA387760

Entities

People

  • Jan M. Friedman

Organizations

  • University of British Columbia

Tags

DTIC Thesaurus Topics

  • Confidence Limits
  • Databases
  • Diseases And Disorders
  • Embryos
  • Genes
  • Genetic Phenomena
  • Genetic Structures
  • Genetics
  • Health Services
  • Information Science
  • Medical Genetics
  • Medical Personnel
  • Neoplasms
  • Nervous System
  • Neuromuscular Diseases
  • Peripheral Nervous System
  • Skin Diseases

Fields of Study

  • Biology
  • Mathematics

Readers

  • Molecular and genetic basis of cancer.
  • Regression Analysis.
  • Software Engineering

Technology Areas

  • Biotechnology