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Minimum sample sizes for identifying chromosomal fragile sites from individuals: Monte Carlo estimation.

Abstract：

:A Monte Carlo simulation procedure was used to estimate the exact level of the standardized X2 test statistic (Xs2) for randomness in the FSM methodology for the identification of fragile sites from chromosomal breakage data for single individuals. A random-number generator was used to simulate 10,000 chromosomal breakage data sets, each corresponding to the null hypothesis of no fragile sites for numbers of chromosomal breaks (n) from 1 to 2000 and at three levels of chromosomal band resolution (k). The reliability of the test was assessed by comparisons of the empirical and nominal alpha levels for each of the corresponding values of n and k. These analyses indicate that the sparse and discrete nature of chromosomal breakage data results in large and unpredictable discrepancies between the empirical and nominal alpha levels when fragile site identifications are based on small numbers of breaks (n < 0.5 k). With n > or = 0.5 k, the distribution of Xs2 appears to be stable and non-significant differences in the empirical and nominal alpha levels are generally obtained. These results are inherent to the nature of the data and are, therefore, relevant to any statistical model for the identification of fragile sites from chromosomal breakage data. For FSM identification of fragile sites at alpha = 0.05, we suggest that n > or = 0.5 k is the minimum reliable number of mapped chromosomal breaks per individual.

journal_name

Hum Genet

journal_title

Human genetics

authors

Greenbaum IF,Fulton JK,White ED,Dahm PF

doi

10.1007/s004390050596

subject

Has Abstract

pub_date

1997-11-01 00:00:00

pages

109-12

issue

1

eissn

0340-6717

issn

1432-1203

journal_volume

101

pub_type

杂志文章

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