논문KCI 등재
유전체 연관 연구에서의 검정력 및 연구대상수 계산 고찰
A Review of Power and Sample Size Estimation in Genomewide Association Studies
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참고문헌
주제분류예방의학/직업환경의학
참고문헌 (16)
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- Wang H, "Optimal two-stage genotyping designs for genome-wide association scans", 30(4), pp.356~368 (2006)
- Satagopan JM, "Optimal two-stagegenotyping in population-based association studies", 25(2), pp.149~157 (2003)
- Guedj M, "Computing power in case-control association studies through the use of quadratic approximations: Application to meta-statistics", 71(Pt 2), pp.262~270 (2007)
- Pritchard JK, "Linkage disequilibrium in humans: models and data", 69, pp.1~14 (2001)
- Kruglyak L, "Prospects for whole-genome linkage disequilibrium mapping of common disease genes", 22(2), pp.139~144 (1999)
- Schork NJ`, "Power calculations for genetic association studies using estimated probability distributions", 70(6), pp.1480~1489 (2002)
- Ambrosius WT, "Power for genetic association studies with random allele frequencies and genotype distributions", 74(4), pp.683~693 (2004)
- Purcell S, "Design of linkage and association genetic mapping studies of complex traits", 19(1), pp.149~150 (2003)
- Sham PC, "Power of linkage versus association analysis of quantitative traits by use of variancecomponents models, for sibship data", 66(5), pp.1616~1630 (2000)
- Gordon D, "Power and sample size calculations for casecontrol genetic association tests when errors are present: Application to single nucleotide polymorphisms", 54(1), pp.22~33 (2002)
- Edwards BJ, "Power and sample size calculations in the presence of phenotype errors for case", control genetic association studies, 2005, pp.6(1), 18~
- Gordon D, "Visualizing power for association with error in case-control genetic studies of complex traits", 21(20), pp.3935~3937 (2005)
- Skol AD, "Joint analysis is more efficient than replicationbased analysis for two-stage genome-wide association studies", 38(2), pp.209~213 (2006)
- Kang D, "Current status of genomic epidemiology research", 36(3), pp.213~222 (2003)
- Park S, "Statistical issues in genomic cohort studies", J Prev Med Public Health, in press
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