Allergy Asthma Respir Dis.  2015 Mar;3(2):93-94. 10.4168/aard.2015.3.2.93.

Interpretation of negative results in genetic epidemiology

Affiliations
  • 1Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea. guinea71@snu.ac.kr

Abstract

No abstract available.


MeSH Terms

Molecular Epidemiology*

Cited by  1 articles

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Sodam Jung, Sang-Hoon Kim, Jang Won Sohn, Ho Joo Yoon, Dong Ho Shin, Young-Koo Jee, Sang-Heon Kim
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Reference

1. Tang JL. Selection bias in meta-analyses of gene-disease associations. PLoS Med. 2005; 2:e409.
Article
2. Pan Z, Trikalinos TA, Kavvoura FK, Lau J, Ioannidis JP. Local literature bias in genetic epidemiology: an empirical evaluation of the Chinese literature. PLoS Med. 2005; 2:e334.
Article
3. NCI-NHGRI Working Group on Replication in Association Studies. Chanock SJ, Manolio T, Boehnke M, Boerwinkle E, Hunter DJ, et al. Replicating genotype-phenotype associations. Nature. 2007; 447:655–660.
Article
4. Ioannidis JP, Gwinn M, Little J, Higgins JP, Bernstein JL, Boffetta P, et al. A road map for efficient and reliable human genome epidemiology. Nat Genet. 2006; 38:3–5.
Article
5. Suh WY, Kim YH, Joo HD, Park SJ, Ryuo SH, Choi JS, et al. Lack of associations between tumor necrosis factor-α genetic polymorphism -308G/A and antituberculous drug-induced maculopapular eruption. Allergy Asthma Respir Dis. 2015; 3:124–127.
Article
6. Hong EP, Park JW. Sample size and statistical power calculation in genetic association studies. Genomics Inform. 2012; 10:117–122.
Article
7. Wellek S, Schumann G. Statistical confirmation of negative results of association studies in genetic epidemiology. Am J Med Genet B Neuropsychiatr Genet. 2004; 128B:126–130.
Article
8. Ciesielski TH, Pendergrass SA, White MJ, Kodaman N, Sobota RS, Huang M, et al. Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors. BioData Min. 2014; 7:10.
Article
9. Park HW. Systems biology approaches in asthma pharmacogenomics study. Allergy Asthma Respir Dis. 2014; 2:326–331.
Article
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