Multiple regression analysis of sib-pair data on reading to detect quantitative trait loci

D. W. Fulker, L. R. Cardon, J. C. Defries, W. J. Kimberling, B. F. Pennington, S. D. Smith

Research output: Contribution to journalArticle

85 Scopus citations

Abstract

A simple extension of the DeFries and Fulker multiple regression model for twin analysis is applied to the problem of detecting linkage in a quantitative trait. The method, employing sib pairs, is based on that of Haseman and Elston. Reading data from 19 extended pedigrees were analyzed employing RLFPs as markers on chromosome 15 and using the widely available statistical applications software package, SAS. A number of possible linkages were detected, indicating that this approach is both powerful and effective, especially in the case of selected samples. Detecting genotype-environment interaction and the issue of power are briefly discussed. The programs used are available upon request.

Original languageEnglish (US)
Pages (from-to)299-313
Number of pages15
JournalReading and Writing
Volume3
Issue number3-4
DOIs
StatePublished - Dec 1991

Keywords

  • linkage analysis
  • multiple regression
  • quantitative trait loci
  • reading disability
  • sib-pair data

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Education
  • Linguistics and Language
  • Speech and Hearing

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    Fulker, D. W., Cardon, L. R., Defries, J. C., Kimberling, W. J., Pennington, B. F., & Smith, S. D. (1991). Multiple regression analysis of sib-pair data on reading to detect quantitative trait loci. Reading and Writing, 3(3-4), 299-313. https://doi.org/10.1007/BF00354964