Skip to main content
Log in

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

  • Part One: Genetics
  • Published:
Reading and Writing Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Blackwelder W. C. and Elston R. C. 1985. A comparison of sib-pair linkage tests for disease susceptibility loci. Genetic Epidemiology, 2, 85–97.

    Google Scholar 

  • Cyphers L. H., Phillips K., Fulker D. W., and Mrazek D. A. 1990. Twin temperament during the transition from infancy to early childhood. American Academy of Child and Adolescent Psychiatry, 29, 392–397.

    Google Scholar 

  • DeFries J. C. 1985. Colorado reading project. In D. B. Gray and J. F. Kavanagh (eds.), Biobehavioral Measures of Dyslexia (pp. 123–135). Parkton, MD: York Press.

    Google Scholar 

  • DeFries J. C. and Fulker D. W. 1985. Multiple regression analysis of twin data. Behavior Genetics, 15, 467–473.

    Google Scholar 

  • DeFries J. C. and Fulker D. W. 1988. Multiple regression analysis of twin data: Etiology of deviant scores versus individual differences. Acta Geneticae Medicae et Gemellologiae, 37, 205–216.

    Google Scholar 

  • DeFries J. C., Olson R. K., Pennington B. F., and Smith S. D. 1991. Colorado Reading Project: An update. In D. B. Gray and D. Duane (eds.), The Reading Brain: The Biological Basis of Dyslexia. Parkton, MD: York Press.

    Google Scholar 

  • Dunn L. M. and Markwardt F. C. 1970. Examiner's Manual: Peabody Individual Achievement Test. Circle Pines, MN: American Guidance Service.

    Google Scholar 

  • Haseman J. K. and Elston R. C. 1972. The investigation of linkage between a quantitative trait and a marker locus. Behavior Genetics, 2, 3–19.

    Google Scholar 

  • Nance W. E. and Neale M. C. 1989. Partitioned twin analysis: A power study. Behavior Genetics, 19, 143–150.

    Google Scholar 

  • Pearson E. S. and Hartley H. O. (eds.). 1972. Biometrika Tables for Statisticians. Cambridge: Cambridge University Press.

    Google Scholar 

  • Robertson A. 1973. Linkage between marker loci and those affecting a quantitative trait. Behavior Genetics, 2, 389–391.

    Google Scholar 

  • SAS Institute, Inc. 1988. SAS/STAT Users's Guide: Release 6.03 Edition. Cary, NC: SAS Institute.

    Google Scholar 

  • Smith S. D., Kimberling W. J., Pennington B. F., and Lubs H. A. 1983. Specific reading disability: Identification of an inherited form through linkage analysis. Science, 219, 1345–1347.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fulker, D.W., Cardon, L.R., Defries, J.C. et al. Multiple regression analysis of sib-pair data on reading to detect quantitative trait loci. Reading and Writing: An Interdisciplinary Journal 3, 299–313 (1991). https://doi.org/10.1007/BF00354964

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00354964

Keywords

Navigation