Estimation of Modified Concordance Ratio in Sib-Pairs: Effect of Consanguinity on the Risk of Congenital Heart Diseases

Mohamed M. Shoukri, Allan Donner, Nadia Abdalla Dessouky, Shazia Subhani, Mansour Al-Joufan, Ahmed Al-Omrani, Futwan Al-Mohanna and Zohair Y. Al Halees
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Mohamed M. Shoukri: King Faisal Specialist Hospital and Research Centre
Allan Donner: University of Western Ontario
Nadia Abdalla Dessouky: King Faisal Specialist Hospital and Research Centre
Shazia Subhani: King Faisal Specialist Hospital and Research Centre
Mansour Al-Joufan: King Faisal Specialist Hospital and Research Centre
Ahmed Al-Omrani: King Faisal Specialist Hospital and Research Centre
Futwan Al-Mohanna: King Faisal Specialist Hospital and Research Centre
Zohair Y. Al Halees: King Faisal Specialist Hospital and Research Centre

The International Journal of Biostatistics, 2010, vol. 6, issue 1, pages 3

Abstract:

Family studies are widely used for research into genetic and environmental influences on human traits. In this paper, we establish statistical methodology for the estimation of a new measure of sib similarity with respect to dichotomous traits measured on each member of within family sib-pair. We call this parameter "excess risk." For inference problems involving a single sample, we construct a large sample confidence interval on the concerned parameter. It has long been suspected that consanguinity is a risk factor for many genetic defects. Therefore, we establish a procedure to test the significance of the difference between excess risk parameters in a sample of consanguineous marriages and another sample of non-consanguineous marriages. We apply the methodology to data from a hospital-based congenital heart defects registry in Saudi Arabia, a population in which consanguinity is quite common.

Keywords: Epidemiology; General Biostatistics; intra-class correlation; maximum likelihood estimation; non-central chi-square; sample size requirements; Monte Carlo simulations (search for similar items in EconPapers)
Date: 2010
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