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Items: 1 to 20 of 88


Predictive genetic testing for the identification of high-risk groups: a simulation study on the impact of predictive ability.

Mihaescu R, Moonesinghe R, Khoury MJ, Janssens AC.

Genome Med. 2011 Jul 28;3(7):51. doi: 10.1186/gm267.


The impact of genotype frequencies on the clinical validity of genomic profiling for predicting common chronic diseases.

Janssens AC, Moonesinghe R, Yang Q, Steyerberg EW, van Duijn CM, Khoury MJ.

Genet Med. 2007 Aug;9(8):528-35.


Incremental value of rare genetic variants for the prediction of multifactorial diseases.

Mihaescu R, Pencina MJ, Alonso A, Lunetta KL, Heckbert SR, Benjamin EJ, Janssens AC.

Genome Med. 2013 Aug 20;5(8):76. doi: 10.1186/gm480. eCollection 2013.


Analytical and simulation methods for estimating the potential predictive ability of genetic profiling: a comparison of methods and results.

Kundu S, Karssen LC, Janssens AC.

Eur J Hum Genet. 2012 Dec;20(12):1270-4. doi: 10.1038/ejhg.2012.89. Epub 2012 May 30.


Estimating the predictive ability of genetic risk models in simulated data based on published results from genome-wide association studies.

Kundu S, Mihaescu R, Meijer CM, Bakker R, Janssens AC.

Front Genet. 2014 Jun 13;5:179. doi: 10.3389/fgene.2014.00179. eCollection 2014.


Clinical utility of serologic testing for celiac disease in ontario: an evidence-based analysis.

Health Quality Ontario.

Ont Health Technol Assess Ser. 2010;10(21):1-111. Epub 2010 Dec 1.


Perspectives on the use of multiple sclerosis risk genes for prediction.

Jafari N, Broer L, van Duijn CM, Janssens AC, Hintzen RQ.

PLoS One. 2011;6(12):e26493. doi: 10.1371/journal.pone.0026493. Epub 2011 Dec 2.


Predictive testing for complex diseases using multiple genes: fact or fiction?

Janssens AC, Aulchenko YS, Elefante S, Borsboom GJ, Steyerberg EW, van Duijn CM.

Genet Med. 2006 Jul;8(7):395-400.


Value of genetic profiling for the prediction of coronary heart disease.

van der Net JB, Janssens AC, Sijbrands EJ, Steyerberg EW.

Am Heart J. 2009 Jul;158(1):105-10. doi: 10.1016/j.ahj.2009.04.022.


Risk models for progression to advanced age-related macular degeneration using demographic, environmental, genetic, and ocular factors.

Seddon JM, Reynolds R, Yu Y, Daly MJ, Rosner B.

Ophthalmology. 2011 Nov;118(11):2203-11. doi: 10.1016/j.ophtha.2011.04.029. Epub 2011 Sep 29.


A unifying framework for evaluating the predictive power of genetic variants based on the level of heritability explained.

So HC, Sham PC.

PLoS Genet. 2010 Dec 2;6(12):e1001230. doi: 10.1371/journal.pgen.1001230.


Discriminative accuracy of genomic profiling comparing multiplicative and additive risk models.

Moonesinghe R, Khoury MJ, Liu T, Janssens AC.

Eur J Hum Genet. 2011 Feb;19(2):180-5. doi: 10.1038/ejhg.2010.165. Epub 2010 Nov 17.


Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk.

Lango H; UK Type 2 Diabetes Genetics Consortium, Palmer CN, Morris AD, Zeggini E, Hattersley AT, McCarthy MI, Frayling TM, Weedon MN.

Diabetes. 2008 Nov;57(11):3129-35. doi: 10.2337/db08-0504. Epub 2008 Jun 30.


Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas.

Server A, Kulle B, Gadmar ØB, Josefsen R, Kumar T, Nakstad PH.

Eur J Radiol. 2011 Nov;80(2):462-70. doi: 10.1016/j.ejrad.2010.07.017. Epub 2010 Aug 13.


Relationship of predictive modeling to receiver operating characteristics.

Mandic S, Go C, Aggarwal I, Myers J, Froelicher VF.

J Cardiopulm Rehabil Prev. 2008 Nov-Dec;28(6):415-9. doi: 10.1097/HCR.0b013e31818c3c78.


Diagnostic and extent of disease multigene assay for malignant thyroid neoplasms.

Kebebew E, Peng M, Reiff E, McMillan A.

Cancer. 2006 Jun 15;106(12):2592-7.


Clinical validation of a genetic model to estimate the risk of developing choroidal neovascular age-related macular degeneration.

Hageman GS, Gehrs K, Lejnine S, Bansal AT, Deangelis MM, Guymer RH, Baird PN, Allikmets R, Deciu C, Oeth P, Perlee LT.

Hum Genomics. 2011 Jul;5(5):420-40.


Interpretation of genetic association studies: markers with replicated highly significant odds ratios may be poor classifiers.

Jakobsdottir J, Gorin MB, Conley YP, Ferrell RE, Weeks DE.

PLoS Genet. 2009 Feb;5(2):e1000337. doi: 10.1371/journal.pgen.1000337. Epub 2009 Feb 6.


[Predictive genetic screening for type-1 diabetes in the Hungarian population].

Hermann R, Soltész G.

Orv Hetil. 2004 Feb 15;145(7):337-42. Hungarian.

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