A network of investigator networks in human genome epidemiology Journal Article


Authors: Ioannidis, J. P. A.; Bernstein, J.; Boffetta, P.; Danesh, J.; Dolan, S.; Hartge, P.; Hunter, D.; Inskip, P.; Jarvelin, M. R.; Little, J.; Maraganore, D. M.; Newton Bishop, J. A.; O'Brien, T. R.; Petersen, G.; Riboli, E.; Seminara, D.; Taioli, E.; Uitterlinden, A. G.; Vineis, P.; Winn, D. M.; Salanti, G.; Higgins, J. P. T.; Khoury, M. J.
Article Title: A network of investigator networks in human genome epidemiology
Abstract: The task of identifying genetic determinants for complex, multigenetic diseases is hampered by small studies, publication and reporting biases, and lack of common standards worldwide. The authors propose the creation of a network of networks that include groups of investigators collecting data for human genome epidemiology research. Twenty-three networks of investigators addressing specific diseases or research topics and representing several hundreds of teams have already joined this initiative. For each field, the authors are currently creating a core registry of teams already participating in the respective network. A wider international registry will include all other teams also working in the same field. Independent investigators are invited to join the registries and existing networks and to join forces in creating additional ones as needed. The network of networks aims to register these networks, teams, and investigators; be a resource for information about or connections to the many networks; offer methodological support; promote sound design and standardization of analytical practices; generate inclusive overviews of fields at large; facilitate rapid confirmation of findings; and avoid duplication of effort. Copyright © 2005 by the Johns Hopkins Bloomberg School of Public Health All rights reserved.
Keywords: genetics; review; publication; register; registries; multicenter study; medical research; human genome; epidemiologic methods; genome; human genome project; genetic disorder; epidemiology; meta analysis; genetic epidemiology; teamwork; genetic database; meta-analysis; databases, genetic; multicenter studies; genetic diseases, inborn; epidemiological phenomena
Journal Title: American Journal of Epidemiology
Volume: 162
Issue: 4
ISSN: 0002-9262
Publisher: Oxford University Press  
Date Published: 2005-08-15
Start Page: 302
End Page: 304
Language: English
DOI: 10.1093/aje/kwi201
PUBMED: 16014777
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 78" - "Export Date: 24 October 2012" - "CODEN: AJEPA" - "Source: Scopus"
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Jonine L Bernstein
    142 Bernstein