The challenge of detecting genotype-by-methylation interaction: GAW20-Reference-Cited by-同舟云学术

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The challenge of detecting genotype-by-methylation interaction: GAW20

Published:2018-09 Issue:S1 Volume:19 Page:
ISSN:1471-2156
Container-title:BMC Genetics
language:en
Short-container-title:BMC Genet

Author:

de Andrade Mariza,Warwick Daw E.,Kraja Aldi T.,Fisher Virginia,Wang Lan,Hu Ke,Li Jing,Romanescu Razvan,Veenstra Jenna,Sun Rui,Weng Haoyi,Zhou Wenda

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics

Link

http://link.springer.com/content/pdf/10.1186/s12863-018-0650-7.pdf

Reference23 articles.

1. Ottman R. Gene-environment interaction: definitions and study designs. Prev Med. 1996;25:764–70.

2. Kraft P, Yen YC, Stram DO, Morrison J, Gauderman WJ. Exploiting gene-environment interaction to detect genetic associations. Hum Hered. 2007;63:111–9.

3. Lin X, Lee S, Christiani DC. Test for interactions between a genetic marker set and environment in generalized linear models. Biostatistics. 2013;14:667–81.

4. Hahn LW, Ritchie MD, Moore JH. Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. Bioinformatics. 2003;19:376–82.

5. Aslinekyan S, Goodarzi MO, Frazier-Wood AC, Yan X, Irvin MR, Kim E, Tiwari HK, Guo X, Straka RJ, Taylor KD, et al. Variants identified in a GWAS meta-analysis for blood lipids are associated with the lipid response to fenofibrate. PLoS One. 2012;7:e48663.

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