Case-control and case-only designs with genotype and family history data: Estimating relative risk, residual familial aggregation, and cumulative risk


Chatterjee N., Kalaylioglu Z. I. , Shih J., Gail M.

BIOMETRICS, vol.62, no.1, pp.36-48, 2006 (Peer-Reviewed Journal) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 62 Issue: 1
  • Publication Date: 2006
  • Doi Number: 10.1111/j.1541-0420.2005.00442.x
  • Journal Name: BIOMETRICS
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.36-48
  • Keywords: ascertainment correction, Copula model, kin-cohort, multivariate survival, penetrance, KIN-COHORT DESIGNS, FAILURE TIME DATA, ESTIMATING PENETRANCE, SURVIVAL-DATA, ASSOCIATION, DISEASE, MODELS, DISTRIBUTIONS, MUTATIONS, ASHKENAZI

Abstract

In case-control studies of inherited diseases, participating subjects (probands) are often interviewed to collect detailed data about disease history and age-at-onset information in their family members. Genotype data are typically collected from the probands, but not from their relatives. In this article, we introduce an approach that combines case-control analysis of data on the probands with kin-cohort analysis of disease history data on relatives. Assuming a marginally specified multivariate survival model for joint risk of disease among family members, we describe methods for estimating relative risk, cumulative risk, and residual familial aggregation. We also describe a variation of the methodology that can be used for kin-cohort analysis of the family history data from a sample of genotyped cases only. We perform simulation studies to assess performance of the proposed methodologies with correct and misspecified models for familial aggregation. We illustrate the proposed methodologies by estimating the risk of breast cancer from BRCA1/2 mutations using data from the Washington Ashkenazi Study.