Identification of Disease Loci for Schizophrenia by a Family-Based Dynamic Association Approach

• Activity Number: 513
• Type: Contributed
• Date/Time: Thursday, August 7, 2008 : 10:30 AM to 12:20 PM
• Sponsor: Section on Statistics in Epidemiology
• Author(s): Tun-Hsiang Yang*+ and Kerchau Li+ and Chih-Min Liu and Hai-Gwo Hwu
• Companies: University of California, Los Angeles and University of California, Los Angeles and National Taiwan University Hospital and National Taiwan University Hospital
• Keywords: Genome-wide linkage analyses ; Schizophrenia ; interactions

Abstract

Genome-wide linkage analyses of complex traits have only been modestly successful in identifying regions that may harbor susceptibility disease genes. Here we developed a statistical method, Family based Dynamic Association (FDA), to augment the Haseman-Elston (HE) regression method for detecting locus interactions in nuclear family data. FDA uses the squared trait differences (Y), IBD sharing at locus 1 (X) and IBD sharing at locus 2 (Z) to assess the effect on the HE analysis of Y against X due to conditioning on Z. Our method combine the merit of allele sharing method to detect linkage at one region and take the likely interactions from the rest of genome into account. In this paper, we apply our method to the schizophrenia data. Our most significant finding on chromosome 10 at 117 cM confirmed with some recently reported regions that linked to the schizophrenia on chromosome 10.