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Items: 1 to 20 of 22

1.

Calibrating longitudinal cognition in Alzheimer's disease across diverse test batteries and datasets.

Gross AL, Sherva R, Mukherjee S, Newhouse S, Kauwe JS, Munsie LM, Waterston LB, Bennett DA, Jones RN, Green RC, Crane PK; Alzheimer's Disease Neuroimaging Initiative; GENAROAD Consortium; AD Genetics Consortium.

Neuroepidemiology. 2014;43(3-4):194-205. doi: 10.1159/000367970. Epub 2014 Nov 13.

2.

Increasing value and reducing waste in research design, conduct, and analysis.

Ioannidis JP, Greenland S, Hlatky MA, Khoury MJ, Macleod MR, Moher D, Schulz KF, Tibshirani R.

Lancet. 2014 Jan 11;383(9912):166-75. doi: 10.1016/S0140-6736(13)62227-8. Epub 2014 Jan 8.

3.

Data harmonization and federated analysis of population-based studies: the BioSHaRE project.

Doiron D, Burton P, Marcon Y, Gaye A, Wolffenbuttel BH, Perola M, Stolk RP, Foco L, Minelli C, Waldenberger M, Holle R, Kvaløy K, Hillege HL, Tassé AM, Ferretti V, Fortier I.

Emerg Themes Epidemiol. 2013 Nov 21;10(1):12. doi: 10.1186/1742-7622-10-12.

4.

The geometric increase in meta-analyses from China in the genomic era.

Ioannidis JP, Chang CQ, Lam TK, Schully SD, Khoury MJ.

PLoS One. 2013 Jun 12;8(6):e65602. doi: 10.1371/journal.pone.0065602. Print 2013.

5.

The power of meta-analysis in genome-wide association studies.

Panagiotou OA, Willer CJ, Hirschhorn JN, Ioannidis JP.

Annu Rev Genomics Hum Genet. 2013;14:441-65. doi: 10.1146/annurev-genom-091212-153520. Epub 2013 May 24. Review.

6.

Knowledge integration in cancer: current landscape and future prospects.

Ioannidis JP, Schully SD, Lam TK, Khoury MJ.

Cancer Epidemiol Biomarkers Prev. 2013 Jan;22(1):3-10. doi: 10.1158/1055-9965.EPI-12-1144. Epub 2012 Oct 23. Review.

7.

Melanocortin-1 receptor, skin cancer and phenotypic characteristics (M-SKIP) project: study design and methods for pooling results of genetic epidemiological studies.

Raimondi S, Gandini S, Fargnoli MC, Bagnardi V, Maisonneuve P, Specchia C, Kumar R, Nagore E, Han J, Hansson J, Kanetsky PA, Ghiorzo P, Gruis NA, Dwyer T, Blizzard L, Fernandez-de-Misa R, Branicki W, Debniak T, Morling N, Landi MT, Palmieri G, Ribas G, Stratigos A, Cornelius L, Motokawa T, Anno S, Helsing P, Wong TH, Autier P, García-Borrón JC, Little J, Newton-Bishop J, Sera F, Liu F, Kayser M, Nijsten T; GEM Study Group; M-SKIP Study Group.

BMC Med Res Methodol. 2012 Aug 3;12:116. doi: 10.1186/1471-2288-12-116.

8.

Meta-analysis of genetic association studies under heterogeneity.

Neupane B, Loeb M, Anand SS, Beyene J.

Eur J Hum Genet. 2012 Nov;20(11):1174-81. doi: 10.1038/ejhg.2012.75. Epub 2012 May 30.

9.

A population approach to precision medicine.

Khoury MJ, Gwinn ML, Glasgow RE, Kramer BS.

Am J Prev Med. 2012 Jun;42(6):639-45. doi: 10.1016/j.amepre.2012.02.012.

10.

Translational epidemiology in psychiatry: linking population to clinical and basic sciences.

Weissman MM, Brown AS, Talati A.

Arch Gen Psychiatry. 2011 Jun;68(6):600-8. doi: 10.1001/archgenpsychiatry.2011.47. Review.

11.

Phenotype harmonization and cross-study collaboration in GWAS consortia: the GENEVA experience.

Bennett SN, Caporaso N, Fitzpatrick AL, Agrawal A, Barnes K, Boyd HA, Cornelis MC, Hansel NN, Heiss G, Heit JA, Kang JH, Kittner SJ, Kraft P, Lowe W, Marazita ML, Monroe KR, Pasquale LR, Ramos EM, van Dam RM, Udren J, Williams K; GENEVA Consortium.

Genet Epidemiol. 2011 Apr;35(3):159-73. doi: 10.1002/gepi.20564. Epub 2011 Jan 31.

12.

The emergence of translational epidemiology: from scientific discovery to population health impact.

Khoury MJ, Gwinn M, Ioannidis JP.

Am J Epidemiol. 2010 Sep 1;172(5):517-24. doi: 10.1093/aje/kwq211. Epub 2010 Aug 5.

13.

Discovery properties of genome-wide association signals from cumulatively combined data sets.

Pereira TV, Patsopoulos NA, Salanti G, Ioannidis JP.

Am J Epidemiol. 2009 Nov 15;170(10):1197-206. doi: 10.1093/aje/kwp262. Epub 2009 Oct 6.

14.

Underlying genetic models of inheritance in established type 2 diabetes associations.

Salanti G, Southam L, Altshuler D, Ardlie K, Barroso I, Boehnke M, Cornelis MC, Frayling TM, Grallert H, Grarup N, Groop L, Hansen T, Hattersley AT, Hu FB, Hveem K, Illig T, Kuusisto J, Laakso M, Langenberg C, Lyssenko V, McCarthy MI, Morris A, Morris AD, Palmer CN, Payne F, Platou CG, Scott LJ, Voight BF, Wareham NJ, Zeggini E, Ioannidis JP.

Am J Epidemiol. 2009 Sep 1;170(5):537-45. doi: 10.1093/aje/kwp145. Epub 2009 Jul 14.

15.

Non-replication of association for six polymorphisms from meta-analysis of genome-wide association studies of Parkinson's disease: large-scale collaborative study.

Evangelou E, Maraganore DM, Annesi G, Brighina L, Brice A, Elbaz A, Ferrarese C, Hadjigeorgiou GM, Krueger R, Lambert JC, Lesage S, Markopoulou K, Mellick GD, Meeus B, Pedersen NL, Quattrone A, Van Broeckhoven C, Sharma M, Silburn PA, Tan EK, Wirdefeldt K, Ioannidis JP; Genetic Epidemiology of Parkinson's Disease (GEOPD) Consortium.

Am J Med Genet B Neuropsychiatr Genet. 2010 Jan 5;153B(1):220-8. doi: 10.1002/ajmg.b.30980.

16.

Genome-wide and candidate gene association study of cigarette smoking behaviors.

Caporaso N, Gu F, Chatterjee N, Sheng-Chih J, Yu K, Yeager M, Chen C, Jacobs K, Wheeler W, Landi MT, Ziegler RG, Hunter DJ, Chanock S, Hankinson S, Kraft P, Bergen AW.

PLoS One. 2009;4(2):e4653. doi: 10.1371/journal.pone.0004653. Epub 2009 Feb 27.

17.

Meta-analysis in genome-wide association studies.

Zeggini E, Ioannidis JP.

Pharmacogenomics. 2009 Feb;10(2):191-201. doi: 10.2217/14622416.10.2.191. Review.

18.

Invited commentary: from genome-wide association studies to gene-environment-wide interaction studies--challenges and opportunities.

Khoury MJ, Wacholder S.

Am J Epidemiol. 2009 Jan 15;169(2):227-30; discussion 234-5. doi: 10.1093/aje/kwn351. Epub 2008 Nov 20.

19.

The M235T polymorphism in the AGT gene and CHD risk: evidence of a Hardy-Weinberg equilibrium violation and publication bias in a meta-analysis.

Zafarmand MH, van der Schouw YT, Grobbee DE, de Leeuw PW, Bots ML.

PLoS One. 2008 Jun 25;3(6):e2533. doi: 10.1371/journal.pone.0002533.

20.

Bayesian meta-analysis of genetic association studies with different sets of markers.

Verzilli C, Shah T, Casas JP, Chapman J, Sandhu M, Debenham SL, Boekholdt MS, Khaw KT, Wareham NJ, Judson R, Benjamin EJ, Kathiresan S, Larson MG, Rong J, Sofat R, Humphries SE, Smeeth L, Cavalleri G, Whittaker JC, Hingorani AD.

Am J Hum Genet. 2008 Apr;82(4):859-72. doi: 10.1016/j.ajhg.2008.01.016.

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