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Results: 1 to 20 of 78

Related Citations for PubMed (Select 21797996)

1.

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.

2.

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.

PMID:
17700391
3.

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.

PMID:
19540399
4.

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.

PMID:
16845271
5.

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.

6.

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.

7.

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.

8.

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.

9.

[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.

PMID:
15049049
10.

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.

11.

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.

12.

A refined symptom-based approach to diagnose pulmonary tuberculosis in children.

Marais BJ, Gie RP, Hesseling AC, Schaaf HS, Lombard C, Enarson DA, Beyers N.

Pediatrics. 2006 Nov;118(5):e1350-9.

13.

Risk stratification in heart surgery: comparison of six score systems.

Geissler HJ, Hölzl P, Marohl S, Kuhn-Régnier F, Mehlhorn U, Südkamp M, de Vivie ER.

Eur J Cardiothorac Surg. 2000 Apr;17(4):400-6.

PMID:
10773562
14.

[The values of serum human epididymis secretory protein 4 and CA(125) assay in the diagnosis of ovarian malignancy].

Dong L, Chang XH, Ye X, Zhu LR, Zhao Y, Tian L, Cheng HY, Li XP, Zhang H, Liao QP, Fu TY, Cheng YX, Cui H.

Zhonghua Fu Chan Ke Za Zhi. 2008 Dec;43(12):931-6. Chinese.

PMID:
19134334
16.

Use of clinical risk factors in elderly women with low bone mineral density to identify women at higher risk of hip fracture: The EPIDOS prospective study.

Dargent-Molina P, Douchin MN, Cormier C, Meunier PJ, Bréart G; EPIDOS Study Group.

Osteoporos Int. 2002 Jul;13(7):593-9.

PMID:
12111021
17.

Identification of women at increased risk of osteoporosis: no need to use different screening tools at different ages.

Dargent-Molina P, Piault S, Bréart G.

Maturitas. 2006 Apr 20;54(1):55-64. Epub 2005 Sep 30.

PMID:
16202546
18.

Derivation and validation of diabetes risk score for urban Asian Indians.

Ramachandran A, Snehalatha C, Vijay V, Wareham NJ, Colagiuri S.

Diabetes Res Clin Pract. 2005 Oct;70(1):63-70. Epub 2005 Apr 15.

PMID:
16126124
19.

A model for predicting surgical outcome in patients with advanced ovarian carcinoma using computed tomography.

Bristow RE, Duska LR, Lambrou NC, Fishman EK, O'Neill MJ, Trimble EL, Montz FJ.

Cancer. 2000 Oct 1;89(7):1532-40.

PMID:
11013368
20.

Mutation prediction models in Lynch syndrome: evaluation in a clinical genetic setting.

Ramsoekh D, van Leerdam ME, Wagner A, Kuipers EJ, Steyerberg EW.

J Med Genet. 2009 Nov;46(11):745-51. doi: 10.1136/jmg.2009.066589. Epub 2009 Jun 18.

PMID:
19541685
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