A multivariate model for the analysis of sibship covariance structure using marker information and multiple quantitative traits

George P. Vogler; Weihong Tang; Tracy L. Nelson; Scott M. Hofer; Julia D. Grant; Lisa M. Tarantino; Jose R. Fernandez

doi:10.1002/(SICI)1098-2272(1997)14:6<921::AID-GEPI60>3.0.CO;2-N

A multivariate model for the analysis of sibship covariance structure using marker information and multiple quantitative traits

George P. Vogler, Weihong Tang, Tracy L. Nelson, Scott M. Hofer, Julia D. Grant, Lisa M. Tarantino, Jose R. Fernandez

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

A model was developed to detect effects of quantitative trait loci (QTLs) in sibships from simulated nuclear family data using full covariance structure of the data and analyzing all five quantitative traits simultaneously in a multivariate model. Evidence of the presence of loci was detected on chromosomes 4,8,9, and 10. The method provided stable results and is worth further exploration for its performance and optimal sample size requirements under realistic conditions.

Original language	English (US)
Pages (from-to)	921-926
Number of pages	6
Journal	Genetic Epidemiology
Volume	14
Issue number	6
DOIs	https://doi.org/10.1002/(SICI)1098-2272(1997)14:6<921::AID-GEPI60>3.0.CO;2-N
State	Published - 1997
Externally published	Yes

Keywords

Multivariate
Power
QTL
Sibships

ASJC Scopus subject areas

Epidemiology
Genetics(clinical)

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10.1002/(SICI)1098-2272(1997)14:6<921::AID-GEPI60>3.0.CO;2-N

Cite this

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abstract = "A model was developed to detect effects of quantitative trait loci (QTLs) in sibships from simulated nuclear family data using full covariance structure of the data and analyzing all five quantitative traits simultaneously in a multivariate model. Evidence of the presence of loci was detected on chromosomes 4,8,9, and 10. The method provided stable results and is worth further exploration for its performance and optimal sample size requirements under realistic conditions.",

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doi = "10.1002/(SICI)1098-2272(1997)14:6<921::AID-GEPI60>3.0.CO;2-N",

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T1 - A multivariate model for the analysis of sibship covariance structure using marker information and multiple quantitative traits

AU - Vogler, George P.

AU - Tang, Weihong

AU - Nelson, Tracy L.

AU - Hofer, Scott M.

AU - Grant, Julia D.

AU - Tarantino, Lisa M.

AU - Fernandez, Jose R.

PY - 1997

Y1 - 1997

N2 - A model was developed to detect effects of quantitative trait loci (QTLs) in sibships from simulated nuclear family data using full covariance structure of the data and analyzing all five quantitative traits simultaneously in a multivariate model. Evidence of the presence of loci was detected on chromosomes 4,8,9, and 10. The method provided stable results and is worth further exploration for its performance and optimal sample size requirements under realistic conditions.

AB - A model was developed to detect effects of quantitative trait loci (QTLs) in sibships from simulated nuclear family data using full covariance structure of the data and analyzing all five quantitative traits simultaneously in a multivariate model. Evidence of the presence of loci was detected on chromosomes 4,8,9, and 10. The method provided stable results and is worth further exploration for its performance and optimal sample size requirements under realistic conditions.

KW - Multivariate

KW - Power

KW - QTL

KW - Sibships

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JO - Genetic Epidemiology

JF - Genetic Epidemiology

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ER -

A multivariate model for the analysis of sibship covariance structure using marker information and multiple quantitative traits

Abstract

Keywords

ASJC Scopus subject areas

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