Home LiteratureArticle Details
PMID: 7172163 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Statistical analysis of cytogenetic abnormalities in human cancer cells.

Cancer genetics and cytogenetics ·Vol. 7 ·No. 2 ·1982-10-00 ·Pages 137-52

Brodeur GM, Tsiatis AA, Williams DL, Luthardt FW, Green AA

Abstract

It is sometimes difficult to evaluate reports of "nonrandom" chromosome involvement in certain malignant diseases, since the "random" or expected distribution is seldom defined. Therefore, we have developed methods for the statistical analysis of cytogenetic abnormalities in human cancer cells with modal karyotypes in the diploid range (35-57 chromosomes). For this analysis, it is assumed that the expected gain or loss of each chromosome will occur with equal probability and structural abnormalities will involve each chromosome in proportion to its size. To perform this analysis, the total number of numerical and structural abnormalities is determined from the modal karyotypes of a series of histologically related tumors. The maximum expected values are determined by computer simulation for different levels of significance. Then the distributions of observed and expected abnormalities of each type are compared to identify nonrandom involvement. Preferential gain or loss is analyzed for each of the 24 different chromosomes, and preferential structural rearrangement is determined for each of the 48 chromosome arms. We have analyzed two series of karyotypic data to demonstrate the utility of this method. The rationale for the assumptions made as well as alternative approaches are discussed.

MeSH Terms
Chromosome Aberrations/genetics Chromosome Disorders Computers Humans Karyotyping Neoplasms/genetics Statistics as Topic
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Brodeur G M
Tsiatis A A
Williams D L
Luthardt F W
Green A A
Article Info
Journal
Cancer genetics and cytogenetics
Abbr.
Cancer Genet Cytogenet
ISSN
0165-4608
Published
1982-10-00
Pages
137-52
Language
English
Region
United States
NLM ID
7909240
Subset
IM
Grants
NCI NIH HHS · CA-20180 · United States
NCI NIH HHS · CA-23099 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com