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Results: 16

Related Articles by Review for PubMed (Select 20091798)

1.

The Gene, Environment Association Studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions.

Cornelis MC, Agrawal A, Cole JW, Hansel NN, Barnes KC, Beaty TH, Bennett SN, Bierut LJ, Boerwinkle E, Doheny KF, Feenstra B, Feingold E, Fornage M, Haiman CA, Harris EL, Hayes MG, Heit JA, Hu FB, Kang JH, Laurie CC, Ling H, Manolio TA, Marazita ML, Mathias RA, Mirel DB, Paschall J, Pasquale LR, Pugh EW, Rice JP, Udren J, van Dam RM, Wang X, Wiggs JL, Williams K, Yu K; GENEVA Consortium.

Genet Epidemiol. 2010 May;34(4):364-72. doi: 10.1002/gepi.20492.

2.

Genome-wide association studies of cardiovascular risk factors: design, conduct and interpretation.

Bis JC, Glazer NL, Psaty BM.

J Thromb Haemost. 2009 Jul;7 Suppl 1:308-11. doi: 10.1111/j.1538-7836.2009.03392.x. Review.

PMID:
19630823
3.

[Genome-wide association studies in hepatology].

Weber S, Grünhage F, Hall R, Lammert F.

Z Gastroenterol. 2010 Jan;48(1):56-64. doi: 10.1055/s-0028-1109982. Epub 2010 Jan 13. Review. German.

PMID:
20072997
4.
5.

[Advances in genome-wide association studies on essential hypertension].

Xu RW, Yan WL.

Yi Chuan. 2012 Jul;34(7):793-809. Review. Chinese.

PMID:
22805205
6.

Molecular genetic studies of complex phenotypes.

Marian AJ.

Transl Res. 2012 Feb;159(2):64-79. doi: 10.1016/j.trsl.2011.08.001. Epub 2011 Aug 31. Review.

7.

[Research strategies for the next step of genome-wide association study].

Quan C, Zhang XJ.

Yi Chuan. 2011 Feb;33(2):100-8. Review. Chinese.

PMID:
21377965
8.

Bioinformatics challenges for genome-wide association studies.

Moore JH, Asselbergs FW, Williams SM.

Bioinformatics. 2010 Feb 15;26(4):445-55. doi: 10.1093/bioinformatics/btp713. Epub 2010 Jan 6. Review.

9.

Impact of the environment on the skeleton: is it modulated by genetic factors?

Ackert-Bicknell CL, Karasik D.

Curr Osteoporos Rep. 2013 Sep;11(3):219-28. doi: 10.1007/s11914-013-0151-6. Review.

10.

Study designs to enhance identification of genetic factors in healthy aging.

Manolio TA.

Nutr Rev. 2007 Dec;65(12 Pt 2):S228-33. Review.

PMID:
18240554
11.

Comprehensive field synopsis and systematic meta-analyses of genetic association studies in cutaneous melanoma.

Chatzinasiou F, Lill CM, Kypreou K, Stefanaki I, Nicolaou V, Spyrou G, Evangelou E, Roehr JT, Kodela E, Katsambas A, Tsao H, Ioannidis JP, Bertram L, Stratigos AJ.

J Natl Cancer Inst. 2011 Aug 17;103(16):1227-35. doi: 10.1093/jnci/djr219. Epub 2011 Jun 21. Review.

12.

Multigenic modeling of complex disease by random forests.

Sun YV.

Adv Genet. 2010;72:73-99. doi: 10.1016/B978-0-12-380862-2.00004-7. Review.

PMID:
21029849
13.

Genetic epidemiology of type 2 diabetes and cardiovascular diseases in Africa.

Tekola-Ayele F, Adeyemo AA, Rotimi CN.

Prog Cardiovasc Dis. 2013 Nov-Dec;56(3):251-60. doi: 10.1016/j.pcad.2013.09.013. Review.

14.

Novel insights into autoimmune liver diseases provided by genome-wide association studies.

Mells GF, Kaser A, Karlsen TH.

J Autoimmun. 2013 Oct;46:41-54. doi: 10.1016/j.jaut.2013.07.004. Epub 2013 Aug 7. Review.

PMID:
23931959
15.

Collaborative genome-wide association studies of diverse diseases: programs of the NHGRI's office of population genomics.

Manolio TA.

Pharmacogenomics. 2009 Feb;10(2):235-41. doi: 10.2217/14622416.10.2.235. Review.

16.
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