Testing of Gender Differences on Sib-Sib Correlations for Binary Traits: Likelihood Based Inference with Application to Arterial Blood Pressures Data
- *Corresponding Author:
- Mohamed Shoukri
National Biotechnology Center-King Faisal Specialist Hospital and Research Center
Riyadh, Saudi Arabia
E-mail: [email protected]
Received date: January 16, 2014; Accepted date: February 22, 2014; Published date: February 28, 2014
Citation: Shoukri M, Collison K, Al-Mohanna F (2014) Testing of Gender Differences on Sib-Sib Correlations for Binary Traits: Likelihood Based Inference with Application to Arterial Blood Pressures Data. J Biomet Biostat 5:186. doi: 10.4172/2155-6180.1000186
Copyright: © 2014 Shoukri M, 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 are credited.
Estimation of measures of familial aggregation is considered the first step in establishing whether a specified disease has a genetic component. Population based family study designs areusually used to estimate correlations among siblings. When the trait of interest is quantitative (e.g. blood pressure, body mass index, blood glucose level) testing the effect of gender differences on sib-sib correlations is achieved using the likelihood method of estimation under the assumption of multivariate normality. When the trait of interest is measured on the binary scale testing the equality of a brother-brother and sister-sister correlation is more complex. In this paper we develop likelihood-based inference procedures for this purpose which may beapplied to nuclear family data.