Estimating crossover frequencies and testing for numerical interference with highly polymorphic markers
- Columbia Univ., New York, NY (United States)
Interference maybe viewed as having two aspects, numerical interference referring to the numbers of crossovers occurring, and positional interference referring to the positions of crossovers. Here, the focus is on numerical interference and on methods of testing for its presence. A dense map of highly polymorphic markers is assumed so that each crossover can be observed. General relationships are worked out between crossover distributions and underlying chiasma distributions. It is shown that crossover distributions may be invalid, and methods are developed to estimate valid crossover distributions from observed counts of crossovers. Based on valid estimates of crossover distributions, tests for interference and development of empirical map functions are outlined. The methods are applied to published data on human chromosomes 9 and 19. 16 refs., 1 fig., 3 tabs.
- Research Organization:
- Minnesota Univ., Minneapolis, MN (United States). Inst. for Mathematics and Its Applications
- OSTI ID:
- 495277
- Report Number(s):
- CONF-9407205-Vol.81; TRN: 97:003312-0004
- Resource Relation:
- Conference: IMA summer program on molecular biology, Minneapolis, MN (United States), 5-29 Jul 1994; Other Information: PBD: 1996; Related Information: Is Part Of Genetic mapping and DNA sequencing; Speed, T. [ed.] [Univ. of California, Berkeley, CA (United States). Dept. of Statistics]; Waterman, M.S. [ed.] [Univ. of Southern California, Los Angeles, CA (United States). Dept. of Mathematics and Molecular Biology]; PB: 231 p.
- Country of Publication:
- United States
- Language:
- English
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