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Biostatistics 3:77-85 (2002)
© 2002 Oxford University Press

Testing for familial correlation in age-at-onset

Daniel Rabinowitz and Rebecca A. Betensky

Department of Statistics, MC4403, Columbia University, New York, NY 10027, USA. dan{at}stat.columbia.edu
Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA

The analysis of family-study data sometimes focuses on whether a dichotomous trait tends to cluster in families. For traits with variable age-at-onset, it may be of interest to investigate whether age-at-onset itself also exhibits familial clustering. A complication in such investigations is that censoring by age-at-ascertainment can induce artifactual familial correlation in the age-at-onset of affected members. A further complication can be that sample inclusion criteria involve the affection status of family members. The purpose here is to present an approach to testing for correlation that is not confounded by censoring by age-at-ascertainment and may be applied with a broad range of inclusion criteria. The approach involves regression statistics in which subjects's covariate terms are chosen to reflect age-at-onset information from the subjects's affected family members. The results of analyses of data from a family-study of panic disorder illustrate the approach.

Keywords: Ascertainment; Cluster; Familial aggregation; Non-parametric; Panic disorder; Proportional hazards; Segregation analysis; Survival analysis; Truncation


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