Jump to ContentJump to Main Navigation
Human Genome Epidemiology, 2nd EditionBuilding the evidence for using genetic information to improve health and prevent disease$
Users without a subscription are not able to see the full content.

Muin Khoury, Sara Bedrosian, Marta Gwinn, Julian Higgins, John Ioannidis, and Julian Little

Print publication date: 2009

Print ISBN-13: 9780195398441

Published to Oxford Scholarship Online: May 2010

DOI: 10.1093/acprof:oso/9780195398441.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 24 August 2019

Schizophrenia

Schizophrenia

Chapter:
(p.390) 20 Schizophrenia
Source:
Human Genome Epidemiology, 2nd Edition
Author(s):

Lars Bertram

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195398441.003.0020

Efforts to identify the genes that modulate the risk for schizophrenia (SZ) have met with only limited success. This is at least in part due to problems that aggravate epidemiologic research in many psychiatric diseases, for example, a considerable degree of phenotypic variability and diagnostic uncertainty, the lack of extended pedigrees with Mendelian inheritance, and the absence of definitive disease-specific neuropathological features or biomarkers. The identification of susceptibility genes is further complicated by gene—gene interactions that are difficult to predict and model, and a likely substantial but difficult to detect, environmental component. Notwithstanding these challenges, several chromosomal regions thought to harbor SZ genes have been identified via whole genome linkage analyses, a few overlapping across different samples. This chapter focuses on the “SzGene” database developed by the Schizophrenia Research Forum, which systematically collects, summarizes, and meta-analyzes all genetic association studies published in the field of SZ, including genome-wide association studies (GWAS).

Keywords:   genetic variants, genetic variations, human disease, genome-wide studies, schizophrenia, SZGene database

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .