Schizophrenia Candidate Gene Regions: Aims

OBJECTIVE: To characterize in detail the human genomic regions that are most likely to harbor genes that contribute to susceptibility for schizophrenia (SZ), and to use this characterization to identify and test several strong schizophrenia candidate genes. We proposed the following aims:

Aim 1: Define and fully characterize the putative schizophrenia candidate gene regions (SCRs)

We have extracted and analyzed data from 47 independent genome scans published for linkage to SZ. We have utilized three methods to determine the SCRs: (a) single significant hit approach that determines a SCR based on one significant hit, (b) disjoint approach that determines a SCR based on the frequencies of clusters of significant and/or suggestive linkage findings, and (c) smoothing method that involves simulations based on the imprecision of logarithm of odds (LOD) scores to support and refine the combined results of significant and/or suggestive hits. We have developed this website that disseminates the entirety of information and resources generated from this study.

Aim 2: Identify the strong SZ candidate genes by generating an exhaustive list of putative SZ susceptibility genes within the SCRs

We ranked the list of putative susceptibility genes based on the supportive evidence from Aim 1.

Aim 3: Generate an interactome for SZ

We determined the genes that interact with the putative SZ genes identified in Aim 2. We then generated an interactome based on the existing list of genes and their interactors.

Principal Investigator

Tara C. Matise, Ph.D.
Department of Genetics, Rutgers University
145 Bevier Road (LSB 122), Piscataway, NJ 08854
848-445-3125 (P) | 732-445-1147 (F)

© 2014 Matise Laboratory of Computational Genetics