Premium
Two methods for measuring the non‐randomness of chromosome abnormalities
Author(s) -
BRAEKELEER M. DE,
SMITH B.
Publication year - 1988
Publication title -
annals of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 77
eISSN - 1469-1809
pISSN - 0003-4800
DOI - 10.1111/j.1469-1809.1988.tb01078.x
Subject(s) - randomness , monte carlo method , breakpoint , binomial (polynomial) , chromosomal translocation , chromosome , statistical physics , statistics , binomial distribution , mathematics , statistical hypothesis testing , algorithm , computer science , biology , genetics , physics , gene
Summary Applying conventional statistical techniques to cytogenetic data usually faces the problem of working with small numbers and many classes. We describe two techniques, one based on a binomial test procedure, the other on Monte Carlo simulations, aimed at studying the non‐randomness of chromosomal aberrations. Both techniques were used to study the distribution of breakpoints involved in variant Philadelphia translocations in chronic myeloid leukaemia. The results showed that 28 bands were non‐randomly rearranged ( P 0.05). Furthermore, the probabilities calculated from the binomial test procedure were close to those calculated from the Monte Carlo simulations.