title: Joint analysis of case-parents trio and unrelated case-control designs in large scale association studies.
abstract: We present a new method for testing association when data from both case-parents trios and unrelated controls are available. Our method combines test statistics for case-parents trio and unrelated case-control studies by adjusting for the correlation that arises when the same set of cases is used for both tests. We further consider several analytical approaches for two-stage studies on a large number of markers, including methods based on the joint analysis. The performance of the proposed approaches is examined by analyzing the simulated data provided by the Genetic Analysis Workshop 15.
authors.affiliation: Office of Biostatistics Research, National Heart, Lung and Blood Institute, 6701 Rockledge Drive, MSC 7913, Bethesda, MD 20892-7913, USA. jooj@nhlbi.nih.gov
authors.forename: Jungnam
authors.initials: J
authors.lastname: Joo
authors.forename: Xin
authors.initials: X
authors.lastname: Tian
authors.forename: Gang
authors.initials: G
authors.lastname: Zheng
authors.forename: Mario
authors.initials: M
authors.lastname: Stylianou
authors.forename: Jing-Ping
authors.initials: JP
authors.lastname: Lin
authors.forename: Nancy L
authors.initials: NL
authors.lastname: Geller