The purpose of this project is to apply current methods for detection and analysis of polymorphic genetic markers to linkage analysis of cystic fibrosis in especially informative families. The project involves a collaboration between the laboratories directed by L.O. Cavalli-Sforza and Mary-Claire King in order to locate and sample sufficient families and survey an adequate number of polymorphic DNA and protein markers.
The specific aims of the project are: (1) to select families especially informative for linkage studies of cystic fibrosis; (2) to screen all available polymorphic DNA and protein markers, with the aim of locating the cystic fibrosis gene (cf) within a reasonably small distance of a marker locus; and (3) if this is successful, to look for new polymorphic markers closer to cf. By applying present techniques for detecting polymorphisms at the DNA level to genetic analysis of cystic fibrosis, it is now possible, in principle, to precisely locate cf on the human genome. However, the very large number of markers and families required to obtain adequate information for linkage analysis of a recessive disease gene whose protein product is unknown would seem to make such an effort impractical. In order to make linkage analysis of cystic fibrosis feasible, this project will exploit two tricks of sampling design and laboratory technique. First, the study sample will include only families with at least two living, affected children and both parents available. Such families include about seven times as much information as families with one affected and one unaffected child and considerably more information than even very large sibships with only one affected child. Second, screening for DNA markers potentially linked to cf will employ multiple probes and mixtures so that up to ten polymorphisms can be analyzed simultaneously. These features will reduce the total number of tests sufficiently that it is reasonable to propose locating cf with considerable precision in a relatively short time. Finding a genetic marker reasonably close to cf could enable prenatal diagnosis of cystic fibrosis in families at high risk and detection of carriers in such families.

Project Start
1984-12-01
Project End
1987-11-30
Budget Start
1984-12-01
Budget End
1985-11-30
Support Year
1
Fiscal Year
1985
Total Cost
Indirect Cost
Name
Stanford University
Department
Type
Schools of Medicine
DUNS #
800771545
City
Stanford
State
CA
Country
United States
Zip Code
94305
Cavalli-Sforza, L L; King, M C (1986) Detecting linkage for genetically heterogeneous diseases and detecting heterogeneity with linkage data. Am J Hum Genet 38:599-616
Bowcock, A M; Crandall, J; Daneshvar, L et al. (1986) Genetic analysis of cystic fibrosis: linkage of DNA and classical markers in multiplex families. Am J Hum Genet 39:699-706
Beaudet, A; Bowcock, A; Buchwald, M et al. (1986) Linkage of cystic fibrosis to two tightly linked DNA markers: joint report from a collaborative study. Am J Hum Genet 39:681-93