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Items: 1 to 20 of 81

1.

Evaluation of the discriminative accuracy of genomic profiling in the prediction of common complex diseases.

Moonesinghe R, Liu T, Khoury MJ.

Eur J Hum Genet. 2010 Apr;18(4):485-9. doi: 10.1038/ejhg.2009.209. Epub 2009 Nov 25.

2.

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.

3.

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
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.

The genetic interpretation of area under the ROC curve in genomic profiling.

Wray NR, Yang J, Goddard ME, Visscher PM.

PLoS Genet. 2010 Feb 26;6(2):e1000864. doi: 10.1371/journal.pgen.1000864.

6.

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.

7.

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
8.

An epidemiologic assessment of genomic profiling for measuring susceptibility to common diseases and targeting interventions.

Khoury MJ, Yang Q, Gwinn M, Little J, Dana Flanders W.

Genet Med. 2004 Jan-Feb;6(1):38-47.

PMID:
14726808
9.

Accuracy of predicting the genetic risk of disease using a genome-wide approach.

Daetwyler HD, Villanueva B, Woolliams JA.

PLoS One. 2008;3(10):e3395. doi: 10.1371/journal.pone.0003395. Epub 2008 Oct 14.

10.

Evaluating the discriminative power of multi-trait genetic risk scores for type 2 diabetes in a northern Swedish population.

Fontaine-Bisson B, Renström F, Rolandsson O; MAGIC, Payne F, Hallmans G, Barroso I, Franks PW.

Diabetologia. 2010 Oct;53(10):2155-62. doi: 10.1007/s00125-010-1792-y. Epub 2010 Jun 23.

11.

Impact of QTL minor allele frequency on genomic evaluation using real genotype data and simulated phenotypes in Japanese Black cattle.

Uemoto Y, Sasaki S, Kojima T, Sugimoto Y, Watanabe T.

BMC Genet. 2015 Nov 19;16:134. doi: 10.1186/s12863-015-0287-8.

12.

Population genomics in Sardinia: a novel approach to hunt for genomic combinations underlying complex traits and diseases.

Siniscalco M, Robledo R, Bender PK, Carcassi C, Contu L, Beck JC.

Cytogenet Cell Genet. 1999;86(2):148-52. Erratum in: Cytogenet Cell Genet 1999;87(3-4):296.

PMID:
10545707
13.

How many genes underlie the occurrence of common complex diseases in the population?

Yang Q, Khoury MJ, Friedman J, Little J, Flanders WD.

Int J Epidemiol. 2005 Oct;34(5):1129-37. Epub 2005 Jul 25.

PMID:
16043441
14.

On the use of population-based registries in the clinical validation of genetic tests for disease susceptibility.

Yang Q, Khoury MJ, Coughlin SS, Sun F, Flanders WD.

Genet Med. 2000 May-Jun;2(3):186-92.

PMID:
11256664
15.

Prediction of expected years of life using whole-genome markers.

de los Campos G, Klimentidis YC, Vazquez AI, Allison DB.

PLoS One. 2012;7(7):e40964. doi: 10.1371/journal.pone.0040964. Epub 2012 Jul 25.

16.

Diagnostic accuracy measures.

Eusebi P.

Cerebrovasc Dis. 2013;36(4):267-72. doi: 10.1159/000353863. Epub 2013 Oct 16. Review.

17.

The contribution of genetic variants to disease depends on the ruler.

Witte JS, Visscher PM, Wray NR.

Nat Rev Genet. 2014 Nov;15(11):765-76. doi: 10.1038/nrg3786. Epub 2014 Sep 16. Review.

18.

Mapping of numerous disease-associated expression polymorphisms in primary peripheral blood CD4+ lymphocytes.

Murphy A, Chu JH, Xu M, Carey VJ, Lazarus R, Liu A, Szefler SJ, Strunk R, Demuth K, Castro M, Hansel NN, Diette GB, Vonakis BM, Adkinson NF Jr, Klanderman BJ, Senter-Sylvia J, Ziniti J, Lange C, Pastinen T, Raby BA.

Hum Mol Genet. 2010 Dec 1;19(23):4745-57. doi: 10.1093/hmg/ddq392. Epub 2010 Sep 10.

19.

Whole genome prediction of bladder cancer risk with the Bayesian LASSO.

de Maturana EL, Chanok SJ, Picornell AC, Rothman N, Herranz J, Calle ML, García-Closas M, Marenne G, Brand A, Tardón A, Carrato A, Silverman DT, Kogevinas M, Gianola D, Real FX, Malats N.

Genet Epidemiol. 2014 Jul;38(5):467-76. doi: 10.1002/gepi.21809. Epub 2014 May 5.

PMID:
24796258
20.

The effects of demography and long-term selection on the accuracy of genomic prediction with sequence data.

MacLeod IM, Hayes BJ, Goddard ME.

Genetics. 2014 Dec;198(4):1671-84. doi: 10.1534/genetics.114.168344. Epub 2014 Sep 18.

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