A road map for efficient and reliable human genome epidemiology.
Networks of investigators have begun sharing best practices, tools and methods for analysis of associations between genetic variation and common diseases. A Network of Investigator Networks has been set up to drive the process, sponsored by the Human Genome Epidemiology Network. A workshop is planned to develop consensus guidelines for reporting results of genetic association studies. Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be captured by online journals and through investigator networks. Systematic reviews will be expanded to include more meta-analyses of individual-level data and prospective meta-analyses. Field synopses will offer regularly updated overviews.
Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, and Biomedical Research Institute, Foundation for Research and Technology-Hellas, Ioannina 45110, Greece. jioannid@cc.uoi.gr
John P A
JP
Ioannidis
Marta
M
Gwinn
Julian
J
Little
Julian P T
JP
Higgins
Jonine L
JL
Bernstein
Paolo
P
Boffetta
Melissa
M
Bondy
Molly S
MS
Bray
Paul E
PE
Brenchley
Patricia A
PA
Buffler
Juan Pablo
JP
Casas
Anand
A
Chokkalingam
John
J
Danesh
George Davey
GD
Smith
Siobhan
S
Dolan
Ross
R
Duncan
Nelleke A
NA
Gruis
Patricia
P
Hartge
Mia
M
Hashibe
David J
DJ
Hunter
Marjo-Riitta
MR
Jarvelin
Beatrice
B
Malmer
Demetrius M
DM
Maraganore
Julia A
JA
Newton-Bishop
Thomas R
TR
O'Brien
Gloria
G
Petersen
Elio
E
Riboli
Georgia
G
Salanti
Daniela
D
Seminara
Liam
L
Smeeth
Emanuela
E
Taioli
Nic
N
Timpson
Andre G
AG
Uitterlinden
Paolo
P
Vineis
Nick
N
Wareham
Deborah M
DM
Winn
Ron
R
Zimmern
Muin J
MJ
Khoury
D016208:Databases, Factual; D004812:Epidemiologic Methods; D020022:Genetic Predisposition to Disease; D015894:Genome, Human; D016045:Human Genome Project; D006801:Humans; D016239:MEDLINE; D012107:Research Design