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, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 26 May 2020

Integration of the evidence on gene–disease associations: methods of HuGE reviews

Integration of the evidence on gene–disease associations: methods of HuGE reviews

(p.215) 11 Integration of the evidence on gene–disease associations: methods of HuGE reviews
Human Genome Epidemiology, 2nd Edition

Julian P. T. Higgins

Julian Little

Oxford University Press

Human Genome Epidemiology (HuGE) reviews have been a cornerstone of the efforts of the Human Genome Epidemiology Network (HuGENet) to develop an online resource to house the cumulative and changing information on epidemiologic aspects of human genes. HuGE reviews may collate evidence on population frequencies of genetic variants, genotype-phenotype associations, interactions among genes and between genes, and environmental exposures, or a combination of these. More than 70 HuGE reviews have been completed under the auspices of HuGENet, with more than 80 in preparation at the time of writing. This chapter explains what HuGE reviews aim to achieve and describes some key components of the methodology for undertaking them. The material is also directly relevant to reviews and meta-analysis of genetic association studies undertaken by groups outside of HuGENet.

Keywords:   genetic association studies, gene-disease associations, HuGE, HuGENet, genome-wide association studies

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 .