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Items: 1 to 20 of 87

1.

Cancer GAMAdb: database of cancer genetic associations from meta-analyses and genome-wide association studies.

Schully SD, Yu W, McCallum V, Benedicto CB, Dong LM, Wulf A, Clyne M, Khoury MJ.

Eur J Hum Genet. 2011 Aug;19(8):928-30. doi: 10.1038/ejhg.2011.53. Epub 2011 Apr 13.

2.

A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes.

Chang CQ, Yesupriya A, Rowell JL, Pimentel CB, Clyne M, Gwinn M, Khoury MJ, Wulf A, Schully SD.

Eur J Hum Genet. 2014 Mar;22(3):402-8. doi: 10.1038/ejhg.2013.161. Epub 2013 Jul 24.

3.

GWAS Integrator: a bioinformatics tool to explore human genetic associations reported in published genome-wide association studies.

Yu W, Yesupriya A, Wulf A, Hindorff LA, Dowling N, Khoury MJ, Gwinn M.

Eur J Hum Genet. 2011 Oct;19(10):1095-9. doi: 10.1038/ejhg.2011.91. Epub 2011 May 25.

4.

Genetic polymorphisms and breast cancer risk: evidence from meta-analyses, pooled analyses, and genome-wide association studies.

Peng S, Lü B, Ruan W, Zhu Y, Sheng H, Lai M.

Breast Cancer Res Treat. 2011 Jun;127(2):309-24. doi: 10.1007/s10549-011-1459-5. Epub 2011 Mar 29. Review.

PMID:
21445572
5.

Alzheimer's disease genetics current status and future perspectives.

Bertram L.

Int Rev Neurobiol. 2009;84:167-84. doi: 10.1016/S0074-7742(09)00409-7. Review.

PMID:
19501718
6.

A systematic review of replication studies of prostate cancer susceptibility genetic variants in high-risk men originally identified from genome-wide association studies.

Ishak MB, Giri VN.

Cancer Epidemiol Biomarkers Prev. 2011 Aug;20(8):1599-610. doi: 10.1158/1055-9965.EPI-11-0312. Epub 2011 Jun 29. Review.

7.

Genome-wide germline analyses on cancer susceptibility and GeMDBJ database: Gastric cancer as an example.

Yoshida T, Ono H, Kuchiba A, Saeki N, Sakamoto H.

Cancer Sci. 2010 Jul;101(7):1582-9. doi: 10.1111/j.1349-7006.2010.01590.x. Epub 2010 Apr 9. Review.

8.

A systematic review evaluating the methodological aspects of meta-analyses of genetic association studies in cancer research.

Boccia S, De Feo E, Gallì P, Gianfagna F, Amore R, Ricciardi G.

Eur J Epidemiol. 2010 Nov;25(11):765-75. doi: 10.1007/s10654-010-9503-z. Epub 2010 Sep 10. Review.

PMID:
20830507
9.

Design considerations for genetic linkage and association studies.

Nsengimana J, Bishop DT.

Methods Mol Biol. 2012;850:237-62. doi: 10.1007/978-1-61779-555-8_13.

PMID:
22307702
10.

Genetic variants in association studies--review of strengths and weaknesses in study design and current knowledge of impact on cancer risk.

Andersson U, McKean-Cowdin R, Hjalmars U, Malmer B.

Acta Oncol. 2009;48(7):948-54. Review.

PMID:
19863254
11.

Meta-analysis of genome-wide association studies.

de Bakker PI, Neale BM, Daly MJ.

Cold Spring Harb Protoc. 2010 Jun;2010(6):pdb.top81. doi: 10.1101/pdb.top81.

PMID:
20516189
12.

Host genetic susceptibility to oral cancer: evidence from meta-analyses and pooled analyses.

Liao G, Wang Y, Zhou YQ, Li TW, Zeng DQ, Zeng X, Li J, Dan HX, Chen QM.

Oral Dis. 2014 Oct;20(7):644-9. doi: 10.1111/odi.12184. Epub 2013 Oct 24. Review.

PMID:
24102947
13.

Meta-analysis of genetic association studies: methodologies, between-study heterogeneity and winner's curse.

Nakaoka H, Inoue I.

J Hum Genet. 2009 Nov;54(11):615-23. doi: 10.1038/jhg.2009.95. Epub 2009 Oct 23. Review.

PMID:
19851339
14.

A field synopsis on low-penetrance variants in DNA repair genes and cancer susceptibility.

Vineis P, Manuguerra M, Kavvoura FK, Guarrera S, Allione A, Rosa F, Di Gregorio A, Polidoro S, Saletta F, Ioannidis JP, Matullo G.

J Natl Cancer Inst. 2009 Jan 7;101(1):24-36. doi: 10.1093/jnci/djn437. Epub 2008 Dec 30.

PMID:
19116388
15.

Genome-wide association studies in cancer--current and future directions.

Chung CC, Magalhaes WC, Gonzalez-Bosquet J, Chanock SJ.

Carcinogenesis. 2010 Jan;31(1):111-20. doi: 10.1093/carcin/bgp273. Epub 2009 Nov 11.

16.

GWAS analyzer: integrating genotype, phenotype and public annotation data for genome-wide association study analysis.

Fong C, Ko DC, Wasnick M, Radey M, Miller SI, Brittnacher M.

Bioinformatics. 2010 Feb 15;26(4):560-4. doi: 10.1093/bioinformatics/btp714. Epub 2010 Jan 6.

17.

Sensitivity analyses including and excluding the HWE-violating studies are required for meta-analyses of genetic association studies.

Mao C, Liao RY, Chen Q.

Breast Cancer Res Treat. 2010 May;121(1):245-6. doi: 10.1007/s10549-009-0605-9. Epub 2009 Oct 29. No abstract available.

PMID:
19866356
18.

Trends in meta-analysis of genetic association studies.

Zintzaras E, Lau J.

J Hum Genet. 2008;53(1):1-9. Epub 2007 Dec 12.

PMID:
18071627
19.

Genome-wide association studies, field synopses, and the development of the knowledge base on genetic variation and human diseases.

Khoury MJ, Bertram L, Boffetta P, Butterworth AS, Chanock SJ, Dolan SM, Fortier I, Garcia-Closas M, Gwinn M, Higgins JP, Janssens AC, Ostell J, Owen RP, Pagon RA, Rebbeck TR, Rothman N, Bernstein JL, Burton PR, Campbell H, Chockalingam A, Furberg H, Little J, O'Brien TR, Seminara D, Vineis P, Winn DM, Yu W, Ioannidis JP.

Am J Epidemiol. 2009 Aug 1;170(3):269-79. doi: 10.1093/aje/kwp119. Epub 2009 Jun 4.

20.

Meta-analysis in genome-wide association datasets: strategies and application in Parkinson disease.

Evangelou E, Maraganore DM, Ioannidis JP.

PLoS One. 2007 Feb 7;2(2):e196.

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