Literature DB >> 25504025

A systematic appraisal of field synopses in genetic epidemiology: a HuGE review.

Lazaros Belbasis, Orestis A Panagiotou, Vasilios Dosis, Evangelos Evangelou.   

Abstract

Evidence from genetic association studies is accumulating rapidly. Field synopses have recently arisen as an unbiased way of systematically synthesizing this evidence. We performed a systematic review and appraisal of published field synopses in genetic epidemiology and assessed their main findings and methodological characteristics. We identified 61 eligible field synopses, published between January 1, 2007, and October 31, 2013, on 52 outcomes reporting 734 significant associations at the P < 0.05 level. The median odds ratio for these associations was 1.25 (interquartile range, 1.15-1.43). Egger's test was the most common method (n = 30 synopses) of assessing publication bias. Only 12 synopses (20%) used the Venice criteria to evaluate the epidemiologic credibility of their findings (n = 449 variants). Eleven synopses (18%) were accompanied by an online database that has been regularly updated. These synopses received more citations (P = 0.01) and needed a larger research team (P = 0.02) than synopses without an online database. Overall, field synopses are becoming a valuable tool for the identification of common genetic variants, especially when researchers follow relevant methodological guidelines. Our work provides a summary of the current status of the field synopses published to date and may help interested readers efficiently identify the online resources containing the relevant genetic evidence.
© The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Keywords:  epidemiologic methods; field synopsis; genetic associations; genetic epidemiology; genome, human; meta-analysis

Mesh:

Year:  2014        PMID: 25504025     DOI: 10.1093/aje/kwu249

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  5 in total

1.  Updated field synopsis and systematic meta-analyses of genetic association studies in cutaneous melanoma: the MelGene database.

Authors:  Kyriaki Antonopoulou; Irene Stefanaki; Christina M Lill; Foteini Chatzinasiou; Katerina P Kypreou; Fani Karagianni; Emmanouil Athanasiadis; George M Spyrou; John P A Ioannidis; Lars Bertram; Evangelos Evangelou; Alexander J Stratigos
Journal:  J Invest Dermatol       Date:  2014-11-19       Impact factor: 8.551

2.  Field-wide meta-analyses of observational associations can map selective availability of risk factors and the impact of model specifications.

Authors:  Stylianos Serghiou; Chirag J Patel; Yan Yu Tan; Peter Koay; John P A Ioannidis
Journal:  J Clin Epidemiol       Date:  2015-09-28       Impact factor: 6.437

3.  A new method for identifying causal genes of schizophrenia and anti-tuberculosis drug-induced hepatotoxicity.

Authors:  Tao Huang; Cheng-Lin Liu; Lin-Lin Li; Mei-Hong Cai; Wen-Zhong Chen; Yi-Feng Xu; Paul F O'Reilly; Lei Cai; Lin He
Journal:  Sci Rep       Date:  2016-09-01       Impact factor: 4.379

Review 4.  Reproducibility and replicability of rodent phenotyping in preclinical studies.

Authors:  Neri Kafkafi; Joseph Agassi; Elissa J Chesler; John C Crabbe; Wim E Crusio; David Eilam; Robert Gerlai; Ilan Golani; Alex Gomez-Marin; Ruth Heller; Fuad Iraqi; Iman Jaljuli; Natasha A Karp; Hugh Morgan; George Nicholson; Donald W Pfaff; S Helene Richter; Philip B Stark; Oliver Stiedl; Victoria Stodden; Lisa M Tarantino; Valter Tucci; William Valdar; Robert W Williams; Hanno Würbel; Yoav Benjamini
Journal:  Neurosci Biobehav Rev       Date:  2018-01-31       Impact factor: 9.052

5.  Non-genetic risk and protective factors and biomarkers for neurological disorders: a meta-umbrella systematic review of umbrella reviews.

Authors:  Alexios-Fotios A Mentis; Efthimios Dardiotis; Vasiliki Efthymiou; George P Chrousos
Journal:  BMC Med       Date:  2021-01-13       Impact factor: 8.775

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.