title: Linked markers and age at diagnosis.
abstract: This paper examines the relationship between age at diagnosis and markers linked to a disease trait using 100 replicates from Problem 2A in Genetic Analysis Workshop 10. After establishing the relationship between age and the quantitative trait used to define affection status, Q1, we evaluated the relationship between age at diagnosis and a marker which was linked with Q1. We found that the presence of an F allele at marker 15 on chromosome 5 was significantly associated with delayed age of diagnosis. When we evaluated 100 replicates, we found that the regression coefficients in the survival analyses were separated into two approximately normal distributions. The location of these distributions was solely reflective of the presence of affected individuals with the F allele in a particular replicate. In the replicates in one of the distributions, we found tremendous changes in the variance after employing survival models for dependent data. While we suggest that survival analysis of dependent data may be an important tool in investigating genotype specific alterations in age at event, the findings of this study indicate that the method used may be very sensitive to certain types of missing data.
authors.affiliation: Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston 77030, USA.
authors.forename: T M
authors.initials: TM
authors.lastname: King
authors.forename: Y
authors.initials: Y
authors.lastname: Wan
mesh_terms: D000328:Adult; D017668:Age of Onset; D000368:Aged; D000375:Aging / Q000235:genetics*; D016022:Case-Control Studies; D005260:Female; D030342:Genetic Diseases, Inborn / Q000175:diagnosis* / Q000401:mortality; D008040:Genetic Linkage; D005819:Genetic Markers; D006801:Humans; D008297:Male; D008875:Middle Aged; D019655:Quantitative Trait, Heritable; D015996:Survival Rate
chemical_list: D005819:Genetic Markers