Literature DB >> 6517052

Sample-size calculations in segregation analysis.

F L Wong, J I Rotter.   

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.

Mesh:

Year:  1984        PMID: 6517052      PMCID: PMC1684638     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  2 in total

1.  An example of sample size determination for family studies.

Authors:  L W Pickle; J J Mulvihill
Journal:  Am J Epidemiol       Date:  1981-09       Impact factor: 4.897

Review 2.  Segregation analysis.

Authors:  R C Elston
Journal:  Adv Hum Genet       Date:  1981
  2 in total
  2 in total

1.  On the power to detect differences between male and female mutation rates for Duchenne muscular dystrophy, using classical segregation analysis and restriction fragment length polymorphisms.

Authors:  E R Karel; G J te Meerman; L P Ten Kate
Journal:  Am J Hum Genet       Date:  1986-06       Impact factor: 11.025

2.  Power of pedigree likelihood analysis in extended pedigrees to classify rare variants of uncertain significance in cancer risk genes.

Authors:  Elisabeth A Rosenthal; John Michael O Ranola; Brian H Shirts
Journal:  Fam Cancer       Date:  2017-10       Impact factor: 2.375

  2 in total

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