Assessing the quality of published genetic association studies in meta-analyses: the quality of genetic studies (Q-Genie) tool-Reference-Cited by-同舟云学术

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Assessing the quality of published genetic association studies in meta-analyses: the quality of genetic studies (Q-Genie) tool

Published:2015-05-15 Issue:1 Volume:16 Page:
ISSN:1471-2156
Container-title:BMC Genetics
language:en
Short-container-title:BMC Genet

Author:

Sohani Zahra N.,Meyre David,de Souza Russell J.,Joseph Philip G.,Gandhi Mandark,Dennis Brittany B.,Norman Geoff,Anand Sonia S.

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics

Link

http://link.springer.com/article/10.1186/s12863-015-0211-2/fulltext.html

Reference23 articles.

1. Hattersley AT, McCarthy MI. What makes a good genetic association study? Lancet. 2005;366:1315–23.

2. Ioannidis JPA, Boffetta P, Little J, O’Brien TR, Uitterlinden AG, Vineis P, et al. Assessment of cumulative evidence on genetic associations: interim guidelines. Int J Epidemiol. 2008;37:120–32.

3. Little J, Higgins JPT, Ioannidis JPA, Moher D, Gagnon F, von Elm E, et al. STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement. PLoS Med. 2009;6:e22.

4. Li A, Meyre D. Challenges in reproducibility of genetic association studies: lessons learned from the obesity field. Int J Obes (Lond). 2013;37:559–67.

5. Janssens ACJW, Ioannidis JPA, van Duijn CM, Little J, Khoury MJ. Strengthening the reporting of genetic risk prediction studies: the GRIPS statement. BMJ. 2011;342:d631.

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