Volume 10, Issue 6 pp. 653-658

Genetic Analysis of Multiple Quantitative Risk Factors for Complex Disease

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Segregation analysis under an alternative formulation for the mixed model

C. Stricker,

C. Stricker

Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans, Louisiana

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R. L. Fernando,

R. L. Fernando

Department of Animal Sciences, University of Illinois at Urbana, Champaign, Illinois

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Dr. R. C. Elston,

Corresponding Author

Dr. R. C. Elston

Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans, Louisiana

Department of Biometry and Genetics, L.S.U. Medical Center, 1901 Perdido Street, New Orleans, LA 70112Search for more papers by this author

C. Stricker,

C. Stricker

Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans, Louisiana

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R. L. Fernando,

R. L. Fernando

Department of Animal Sciences, University of Illinois at Urbana, Champaign, Illinois

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Dr. R. C. Elston,

Corresponding Author

Dr. R. C. Elston

Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans, Louisiana

Department of Biometry and Genetics, L.S.U. Medical Center, 1901 Perdido Street, New Orleans, LA 70112Search for more papers by this author

First published: 1993

https://doi.org/10.1002/gepi.1370100654

Citations: 5

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Abstract

Different approaches for segregation analysis that have been proposed in the past are compared to a new approach by Fernando et al. [submitted], the finite polygenic mixed model, analyzing a real and a simulated data set. © 1993 Wiley-Liss, Inc.

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Volume10, Issue6

1993

Pages 653-658

Segregation analysis under an alternative formulation for the mixed model

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Segregation analysis under an alternative formulation for the mixed model

Abstract

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