Statistical tests for clonality Journal Article


Authors: Begg, C. B.; Eng, K. H.; Hummer, A. J.
Article Title: Statistical tests for clonality
Abstract: Cancer investigators frequently conduct studies to examine tumor samples from pairs of apparently independent primary tumors with a view to determine whether they share a "clonal" origin. The genetic fingerprints of the tumors are compared using a panel of markers, often representing loss of heterozygosity (LOH) at distinct genetic loci. In this article we evaluate candidate significance tests for this purpose. The relevant information is derived from the observed correlation of the tumors with respect to the occurrence of LOH at individual loci, a phenomenon that can be evaluated using Fisher's exact test. Information is also available from the extent to which losses at the same locus occur on the same parental allele. Data from these combined sources of information can be evaluated using a simple adaptation of Fisher's exact test. The test statistic is the total number of loci at which concordant mutations occur on the same parental allele, with higher values providing more evidence in favor of a clonal origin for the two tumors. The test is shown to have high power for detecting clonality for plausible models of the alternative (clonal) hypothesis, and for reasonable numbers of informative loci, preferably located on distinct chromosomal arms. The method is illustrated using studies to identify clonality in contralateral breast cancer. Interpretation of the results of these tests requires caution due to simplifying assumptions regarding the possible variability in mutation probabilities between loci, and possible imbalances in the mutation probabilities between parental alleles. Nonetheless, we conclude that the method represents a simple, powerful strategy for distinguishing independent tumors from those of clonal origin. © 2006, The International Biometric Society.
Keywords: gene mutation; mutation; allele; breast cancer; gene locus; breast neoplasms; correlation analysis; statistical analysis; statistical significance; clonal variation; probability; molecular analysis; dna fingerprinting; heterozygosity loss; neoplasms, second primary; tumor; loss of heterozygosity; chromosome analysis; fisher exact test; biometry; genetic correlation; hypothesis; clone; clonality; chromosome arm; permutation test; second primary cancers
Journal Title: Biometrics
Volume: 63
Issue: 2
ISSN: 0006-341X
Publisher: Wiley Blackwell  
Date Published: 2007-06-01
Start Page: 522
End Page: 530+637
Language: English
DOI: 10.1111/j.1541-0420.2006.00681.x
PUBMED: 17688504
PROVIDER: scopus
PMCID: PMC2736112
DOI/URL:
Notes: --- - "Cited By (since 1996): 8" - "Export Date: 17 November 2011" - "CODEN: BIOMA" - "Source: Scopus"
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  1. Amanda J Hummer
    60 Hummer
  2. Colin B Begg
    306 Begg
  3. Kevin H Eng
    1 Eng