A Monte Carlo method for combined segregation and linkage analysis

Journal Article · Sun Nov 01 00:00:00 EST 1992 · American Journal of Human Genetics; (United States)

OSTI ID:7075770

Guo, S W ^[1]; Thompson, E A ^[2]

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1. Univ. of Michigan, Ann Arbor, MI (United States)
2. Univ. of Washington, Seattle, WA (United States)

The authors introduce a Monte Carlo approach to combined segregation and linkage analysis of a quantitative trait observed in an extended pedigree. In conjunction with the Monte Carlo method of likelihood-ratio evaluation proposed by Thompson and Guo, the method provides for estimation and hypothesis testing. The greatest attraction of this approach is its ability to handle complex genetic models and large pedigrees. Two examples illustrate the practicality of the method. One is of simulated data on a large pedigree; the other is a reanalysis of published data previously analyzed by other methods. 40 refs, 5 figs., 5 tabs.

• OSTI ID: 7075770
• Journal Information: American Journal of Human Genetics; (United States), Vol. 51:5; ISSN 0002-9297
• Country of Publication: United States
• Language: English

Related Subjects

59 BASIC BIOLOGICAL SCIENCES
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
GENETIC MAPPING
MONTE CARLO METHOD
BIOLOGICAL MARKERS
CALCULATION METHODS
MAPPING
550400* - Genetics
990200 - Mathematics & Computers