An Overview of the affected-Pedigree-Member Method of Linkage Analysis,

Abstract

Human geneticists have been extremely successful in the past decade in mapping rare disease genes. For common diseases with a substantial genetic component, the payoff for human health is larger, but the mapping problems are harder. There is a need for robust statistical techniques that require minimal assumptions about the mode of inheritance of the disease studied. The affected-pedigree-member (APM) of linkage analysis makes virtually no assumptions about disease transmission except that it is independent of marker transmission in a pedigree. We discuss here an extension of the APM method from single markers to multiple closely linked markers. This extension should improve the power of the APM method to detect linkage.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADP007173

Entities

People

  • Daniel E. Weeks
  • Kenneth Lange

Organizations

  • University of Pittsburgh

Tags

DTIC Thesaurus Topics

  • Computer Science
  • Data Science
  • Disease Attributes
  • Engineering
  • Information Science
  • Network Science
  • Statistics
  • Theoretical Computer Science

Readers

  • Computational Modeling and Simulation
  • Infectious Disease/Epidemiology
  • Molecular and genetic basis of cancer.

Technology Areas

  • Biotechnology