Regression-based multivariate linkage analysis with an application to blood pressure and body mass index.

Regression-based multivariate linkage analysis with an application to blood pressure and body mass index. Research Abstract Details 

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Regression-based multivariate linkage analysis with an application to blood pressure and body mass index. Abstract Text:

T Wang,R C Elston,

Multivariate linkage analysis has been suggested for the analysis of correlated traits, such as blood pressure (BP) and body mass index (BMI), because it may offer greater power and provide clearer results than univariate analyses. Currently, the most commonly used multivariate linkage methods are extensions of the univariate variance component model. One concern about those methods is their inherent sensitivity to the assumption of multivariate normality which cannot be easily guaranteed in practice. Another problem possibly related to all multivariate linkage analysis methods is the difficulty in interpreting nominal p-values, because the asymptotic distribution of the test statistic has not been well characterized. Here we propose a regression-based multivariate linkage method in which a robust score statistic is used to detect linkage. The p-value of the statistic is evaluated by a simple and rapid simulation procedure. Theoretically, this method can be used for any number and type of traits and for general pedigree data. We apply this approach to a genome linkage analysis of blood pressure and body mass index data from the Beaver Dam Eye Study.

Regression-based multivariate linkage analysis with an application to blood pressure and body mass index. Publishing Authors By Initials

T Wang,RC Elston,

For similar investigative techniques: epidemiologic methods: statistics as topic: regression analysis research abstracts see: investigative techniques: epidemiologic methods: statistics as topic: regression analysis research

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Regression-based multivariate linkage analysis with an application to blood pressure and body mass index. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Annals of human genetics

VOLUME: 71

Page Numbers: 96-106

Journal Abbreviation: Ann. Hum. Genet.

ISSN: 0003-4800

DAY: 3

MONTH: Jan

YEAR: 2007

Regression-based multivariate linkage analysis with an application to blood pressure and body mass index. Information

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LANGUAGE: eng

NlmUniqueID: 416661

Regression-based multivariate linkage analysis with an application to blood pressure and body mass index. Keywords Mesh Terms:

KEYWORDS: Regression Analysis

MESH TERMS: genetics

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Grant and Affiliation Information for Regression-based multivariate linkage analysis with an application to blood pressure and body mass index.

AFFILIATION: Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA.

Country: England

AGENCY: United States NCRR

GRANT: RR03655

ACRONYM: RR

MEDLINETA: Ann Hum Genet

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