Sample-size calculations in segregation analysis.

F L Wong; J I Rotter

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PubMed · 6517052

Sample-size calculations in segregation analysis.

F L Wong·J I Rotter

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Abstract

Segregation analysis, employing nuclear families, is the most frequently used method to evaluate the mode of inheritance of a trait. To our knowledge, there exists no tabular information regarding the sample sizes required of individuals and families needed to perform a significance test of a specific segregation ratio for a predetermined power and significance level. To fill this gap, we have developed sample-size tables based on the asymptotic variance of the maximum likelihood estimate of the segregation ratio and on the normal approximation for two-sided hypothesis testing. Assuming homogeneous sibship size, minimum sample sizes were determined for testing the null hypothesis for the segregation ratio of 1/4 or 1/2 vs. alternative values of .05-.80, for the significance level of .05 and power of .8, for ascertainment probabilities of nearly 0 to 1.0, and sibship sizes 2-7. The results of these calculations indicate a complex interaction of the null and the alternate hypotheses, ascertainment probability, and sibship size in determining the sample size required for simple segregation analysis. The accompanying tables should aid in the appropriate design and cost assessment of future genetic epidemiologic studies.

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Epidemiologic Methods Family Genes, Dominant Genes, Recessive Humans Mathematics Models, Genetic Probability Sampling Studies Statistics as Topic Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

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F L Wong, J I Rotter. 1984. Sample-size calculations in segregation analysis.. https://pubmed.ncbi.nlm.nih.gov/6517052/

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