Ing PS, Van Dyke DL, Caudill SP, Reidy JA, Bice G, Bieber FR, Buchanan PD, Carroll AJ, Cheung SW, DeWald G, Donahue RP, Gardner HA, Higgins J, Hsu LY, Jamehdor M, Keitges EA, Laundon CH, Luthardt FW, Mascarello J, May KM, Meck JM, Morton C, Patil S, Peakman D, Pettenati MJ, Rao N, Sanger WG, Saxe DF, Schwartz S, Sekhon GS, Vance GH, Wyandt HE, Yu CW, Zenger-Hain J, Chen AT. Detection of mosaicism in amniotic fluid cultures: a CYTO2000 collaborative study.
Genet Med 1999;
1:94-7. [PMID:
11336459 DOI:
10.1097/00125817-199903000-00006]
[Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
PURPOSE
To evaluate the assumptions on which the American College of Medical Genetics (ACMG) Standards and Guidelines for detecting mosaicism in amniotic fluid cultures are based.
METHODS
Data from 653 cases of amniotic fluid mosaicism were collected from 26 laboratories. A chi-square goodness-of-fit test was used to compare the observed number of mosaic cases with the expected number based on binomial distribution theory.
RESULTS
Comparison of observed data from the in situ colony cases with the expected distribution of cases detected based on the binomial distribution did not reveal a significant difference (P = 0.525).
CONCLUSIONS
The empirical data fit the binomial distribution. Therefore, binomial theory can be used as an initial discussion point for determining whether ACMG Standards and Guidelines are adequate for detecting mosaicism.
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