alexa Heritability Estimation using Regression Models for Correlation
ISSN: 2155-6180

Journal of Biometrics & Biostatistics
Open Access

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Research Article

Heritability Estimation using Regression Models for Correlation

Hye-Seung Lee1*, Myunghee Cho Paik2, Tatjana Rundek3, Ralph L Sacco3, Chuanhui Dong3 and Jeffrey P Krischer1

1Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL33612, USA

2Department of Biostatistics, Columbia University, New York, NY10032, USA

3Department of Neurology, Epidemiology and Public Health, and Human Genetics, Miller School of Medicine, University of Miami, Miami, FL33136, USA

*Corresponding Author:
Hye-Seung Lee
Pediatrics Epidemiology Center
Department of Pediatrics
University of South Florida
Tampa, FL33612, USA
E-mail: [email protected]

Received date: July 18, 2011; Accepted date: October 31, 2011; Published date: November 15, 2011

Citation: Lee HS, Paik MC, Rundek T, Sacco RL, Dong C, et al. (2011) Heritability Estimation using Regression Models for Correlation. J Biomet Biostat 2:119. doi: 10.4172/2155-6180.1000119

Copyright: ©2011 Lee HS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Heritability estimates a polygenic effect on a trait for a population. Reliable interpretation of heritability is critical in planning further genetic studies to locate a gene responsible for the trait. This study accommodates both single and multiple trait cases by employing regression models for correlation parameter to infer the heritability. Sharing the properties of regression approach, the proposed methods are exible to incorporate non-genetic and/or non-additive genetic information in the analysis. The performances of the proposed model are compared with those using the likelihood approach through simulations and carotid Intima Media Thickness analysis from Northern Manhattan family Study.


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