Literature DB >> 16468121

A road map for efficient and reliable human genome epidemiology.

John P A Ioannidis1, Marta Gwinn, Julian Little, Julian P T Higgins, Jonine L Bernstein, Paolo Boffetta, Melissa Bondy, Molly S Bray, Paul E Brenchley, Patricia A Buffler, Juan Pablo Casas, Anand Chokkalingam, John Danesh, George Davey Smith, Siobhan Dolan, Ross Duncan, Nelleke A Gruis, Patricia Hartge, Mia Hashibe, David J Hunter, Marjo-Riitta Jarvelin, Beatrice Malmer, Demetrius M Maraganore, Julia A Newton-Bishop, Thomas R O'Brien, Gloria Petersen, Elio Riboli, Georgia Salanti, Daniela Seminara, Liam Smeeth, Emanuela Taioli, Nic Timpson, Andre G Uitterlinden, Paolo Vineis, Nick Wareham, Deborah M Winn, Ron Zimmern, Muin J Khoury.   

Abstract

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 Published literature databases will be integrated, and unpublished data, including 'negative' studies, will be captured by online journals and through investigator networks.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.

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Mesh:

Year:  2006        PMID: 16468121     DOI: 10.1038/ng0106-3

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  59 in total

Review 1.  Genetic variants associated with breast-cancer risk: comprehensive research synopsis, meta-analysis, and epidemiological evidence.

Authors:  Ben Zhang; Alicia Beeghly-Fadiel; Jirong Long; Wei Zheng
Journal:  Lancet Oncol       Date:  2011-04-20       Impact factor: 41.316

2.  The latest news from the GENOMOS study.

Authors:  André G Uitterlinden
Journal:  Clin Cases Miner Bone Metab       Date:  2009-01

Review 3.  A systematic review evaluating the methodological aspects of meta-analyses of genetic association studies in cancer research.

Authors:  Stefania Boccia; Emma De Feo; Paola Gallì; Francesco Gianfagna; Rosarita Amore; Gualtiero Ricciardi
Journal:  Eur J Epidemiol       Date:  2010-09-10       Impact factor: 8.082

4.  Replication of past candidate loci for common diseases and phenotypes in 100 genome-wide association studies.

Authors:  Konstantinos C M Siontis; Nikolaos A Patsopoulos; John P A Ioannidis
Journal:  Eur J Hum Genet       Date:  2010-03-17       Impact factor: 4.246

5.  Heterogeneity-based genome search meta-analysis for preeclampsia.

Authors:  Elias Zintzaras; Georgios Kitsios; Gavan A Harrison; Hannele Laivuori; Katja Kivinen; Juha Kere; Ioannis Messinis; Ioannis Stefanidis; John P A Ioannidis
Journal:  Hum Genet       Date:  2006-07-26       Impact factor: 4.132

6.  Genome scanning by composite likelihood.

Authors:  Newton Morton; Nikolas Maniatis; Weihua Zhang; Sarah Ennis; Andrew Collins
Journal:  Am J Hum Genet       Date:  2006-12-05       Impact factor: 11.025

Review 7.  The integration of genomics into obstetrics and gynecology: a HuGE challenge.

Authors:  Muin J Khoury; Roberto Romero
Journal:  Am J Obstet Gynecol       Date:  2006-12       Impact factor: 8.661

8.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  Bull World Health Organ       Date:  2007-11       Impact factor: 9.408

9.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  BMJ       Date:  2007-10-20

10.  Genetic and molecular epidemiology.

Authors:  John P A Ioannidis
Journal:  J Epidemiol Community Health       Date:  2007-09       Impact factor: 3.710

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