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

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

The International Journal of Biostatistics, 2010, vol. 6, issue 1, 23

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: 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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DOI: 10.2202/1557-4679.1216

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