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KomplettPlagiat
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Graf Isolan
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Untersuchte Arbeit:
Seite: 6, Zeilen: 1-10
Quelle: Lou 2008
Seite(n): 7, Zeilen: 3-10
Regression-based analyses such as logistic regression can also be used in the case-control test (Agresti, 2002). The main limitation of the case-control analysis is that the presence of confounding effects in the samples could cause a high false positive rate in the analysis (Risch, 2000; Devlin et al., 2001). For example, population admixture and population substructure can cause confounding, which can produce association between unlinked loci (Ewens and Spielman, 1995).

Three major types of approaches were proposed to solve this problem: genomic control (GC) (Devlin and Roeder, 1999; Devlin et al., 2001), structured analysis (SA) (Prichard [sic] et al., 2000) and EIGENSTRAT (Price et al., 2006).


Agresti, A. (2002) Categorical data analysis. Wiley, New York.

Devlin, B. & Roeder, K. (1999) Genomic control for association studies. Biometrics, 55(4): 997–1004.

Devlin, B., Roeder, K. & Wasserman, L. (2001) Genomic control, a new approach to genetic-based association studies. Theor Popul Biol, 60(3): 155–166.

Ewens, W. J. & Spielman, R. S. (1995) The transmission/disequilibrium test: history, subdivision, and admixture. Am J Hum Genet, 57(2): 455–464.

Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A. & Reich, D. (2006) Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet, 38: 904–909.

Prichard [sic], B. N., Graham, B. R. & Cruickshank, J. M. (2000) New approaches to the uses of beta blocking drugs in hypertension. J Hum Hypertens, 14 Suppl 1: S63–S68.

Risch, N. J. (2000) Searching for genetic determinants in the new millennium. Nature, 405: 847–856.

Regression-based analyses such as logistic regression can also be used in the case-control test (Agresti 2002). The major concern of the case-control analysis is that the presence of confounding effects in the samples could give rise to a high false positive rate in the analysis (Risch 2000; Devlin et al. 2001). For example, population admixture and population substructure can produce association between unlinked loci (Ewens & Spielman 1995). Two major types of approaches were proposed to solve this problem: genomic control (GC) (Devlin & Roeder 1999; Devlin et al. 2001) and structured analysis (SA) (Pritchard et al. 2000).

Agresti A., 2002 Categorical data analysis. Wiley, New York.

Devlin, B., and K. Roeder, 1999 Genomic control for association studies. American Journal of Human Genetics 65: A83.

Devlin, B., K. Roeder, and L. Wasserman, 2001 Genomic control, a new approach to genetic-based association studies. Theoretical Population Biology 60: 155-166.

Ewens, W. J., and R. S. Spielman, 1995 The Transmission Disequilibrium Test - History, Subdivision and Admixture. American Journal of Human Genetics 57: 455-464.

Pritchard, J. K., M. Stephens, and P. Donnelly, 2000 Inference of population structure using multilocus genotype data. Genetics 155: 945-959.

Risch, N. J., 2000 Searching for genetic determinants in the new millennium. Nature 405: 847-856.

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