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

doi:10.1007/BF00354964

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 journal › Article › peer-review

92 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 language	English (US)
Pages (from-to)	299-313
Number of pages	15
Journal	Reading and Writing
Volume	3
Issue number	3-4
DOIs	https://doi.org/10.1007/BF00354964
State	Published - 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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10.1007/BF00354964

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title = "Multiple regression analysis of sib-pair data on reading to detect quantitative trait loci",

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.",

keywords = "linkage analysis, multiple regression, quantitative trait loci, reading disability, sib-pair data",

author = "Fulker, {D. W.} and Cardon, {L. R.} and Defries, {J. C.} and Kimberling, {W. J.} and Pennington, {B. F.} and Smith, {S. D.}",

year = "1991",

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language = "English (US)",

volume = "3",

pages = "299--313",

journal = "Reading and Writing",

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T1 - Multiple regression analysis of sib-pair data on reading to detect quantitative trait loci

AU - Fulker, D. W.

AU - Cardon, L. R.

AU - Defries, J. C.

AU - Kimberling, W. J.

AU - Pennington, B. F.

AU - Smith, S. D.

PY - 1991/12

Y1 - 1991/12

N2 - 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.

AB - 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.

KW - linkage analysis

KW - multiple regression

KW - quantitative trait loci

KW - reading disability

KW - sib-pair data

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

Abstract

Keywords

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