메뉴 건너뛰기




Volumn 65, Issue 3, 2009, Pages 815-821

Flexible designs for genomewide association studies

Author keywords

Adaptive design; Conditional rejection probability; Design adaptation; Family wise error rate; Flexible design; Genomewide association study; Interim analysis; Multiple testing; Two stage design

Indexed keywords

STATISTICAL TESTS;

EID: 70349234337     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01174.x     Document Type: Article
Times cited : (8)

References (26)
  • 2
    • 33745279056 scopus 로고    scopus 로고
    • Evaluating coverage of genome-wide association studies
    • Barrett, J. C. and Cardon, L. R. (2006). Evaluating coverage of genome-wide association studies. Nature Genetics 38, 659 662.
    • (2006) Nature Genetics , vol.38 , pp. 659-662
    • Barrett, J.C.1    Cardon, L.R.2
  • 3
    • 0033812655 scopus 로고    scopus 로고
    • Genetic association studies of bronchial asthma - A need for Bonferroni correction
    • Boehringer, S., Epplen, J. T., and Krawczak, M. (2000). Genetic association studies of bronchial asthma - a need for Bonferroni correction Human Genetics 107, 197.
    • (2000) Human Genetics , vol.107 , pp. 197
    • Boehringer, S.1    Epplen, J.T.2    Krawczak, M.3
  • 4
    • 33846978784 scopus 로고    scopus 로고
    • Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting
    • Dupuy, A. and Simon, R. M. (2007). Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. Journal of the National Cancer Institute 99, 147 157.
    • (2007) Journal of the National Cancer Institute , vol.99 , pp. 147-157
    • Dupuy, A.1    Simon, R.M.2
  • 5
    • 34547844076 scopus 로고    scopus 로고
    • Two-stage designs applying methods differing in costs
    • Goll, A. and Bauer, P. (2007). Two-stage designs applying methods differing in costs. Bioinformatics 23, 1519 1526.
    • (2007) Bioinformatics , vol.23 , pp. 1519-1526
    • Goll, A.1    Bauer, P.2
  • 8
    • 33749013001 scopus 로고    scopus 로고
    • Implications of small effect sizes of individual genetic variants on the design and interpretation of genetic association studies of complex diseases
    • Ioannidis, J. P. A., Trikalinos, T. A., and Khoury, M. J. (2006). Implications of small effect sizes of individual genetic variants on the design and interpretation of genetic association studies of complex diseases. American Journal of Epidemiolgy 164, 609 614.
    • (2006) American Journal of Epidemiolgy , vol.164 , pp. 609-614
    • Ioannidis, J.P.A.1    Trikalinos, T.A.2    Khoury, M.J.3
  • 9
    • 33644973601 scopus 로고    scopus 로고
    • Adaptive and nonadaptive group sequential tests
    • Jennison, C. and Turnbull, B. W. (2006). Adaptive and nonadaptive group sequential tests. Biometrika 93, 1 21.
    • (2006) Biometrika , vol.93 , pp. 1-21
    • Jennison, C.1    Turnbull, B.W.2
  • 10
    • 0017146303 scopus 로고
    • On closed testing procedures with special reference to ordered analysis of variance
    • Marcus, R., Peritz, E., and Gabriel, K. R. (1976). On closed testing procedures with special reference to ordered analysis of variance. Biometrika 63, 655 660.
    • (1976) Biometrika , vol.63 , pp. 655-660
    • Marcus, R.1    Peritz, E.2    Gabriel, K.R.3
  • 11
    • 4344665155 scopus 로고    scopus 로고
    • A general statistical principle for changing a design any time during the course of a trial
    • Müller, H.-H. and Schäfer, H. (2004). A general statistical principle for changing a design any time during the course of a trial. Statistics in Medicine 23, 2497 2508.
    • (2004) Statistics in Medicine , vol.23 , pp. 2497-2508
    • Müller, H.-H.1    Schäfer, H.2
  • 12
    • 38049009362 scopus 로고    scopus 로고
    • Including sampling and phenotyping costs into the optimization of two stage designs for genome wide association studies
    • Müller, H.-H., Pahl, R., and Schäfer, H. (2007). Including sampling and phenotyping costs into the optimization of two stage designs for genome wide association studies. Genetic Epidemiolgy 31, 844 852.
    • (2007) Genetic Epidemiolgy , vol.31 , pp. 844-852
    • Müller, H.-H.1    Pahl, R.2    Schäfer, H.3
  • 14
    • 0031466983 scopus 로고    scopus 로고
    • From genotypes to genes: Doubling the sample size
    • Sasieni, P. D. (1997). From genotypes to genes: Doubling the sample size. Biometrics 53, 1253 1261.
    • (1997) Biometrics , vol.53 , pp. 1253-1261
    • Sasieni, P.D.1
  • 15
    • 4444317393 scopus 로고    scopus 로고
    • Two-stage designs for gene-disease association studies with sample size constraints
    • Satagopan, J. M., Venkatraman, E. S., and Begg, C. B. (2004). Two-stage designs for gene-disease association studies with sample size constraints. Biometrics 60, 589 597.
    • (2004) Biometrics , vol.60 , pp. 589-597
    • Satagopan, J.M.1    Venkatraman, E.S.2    Begg, C.B.3
  • 16
    • 0344395010 scopus 로고    scopus 로고
    • Data adaptive interim modification of sample sizes for candidate-gene association studies
    • Scherag, A., Müller, H.-H., Dempfle, A., Hebebrand, J., and Schäfer, H. (2003). Data adaptive interim modification of sample sizes for candidate-gene association studies. Human Heredity 56, 56 62.
    • (2003) Human Heredity , vol.56 , pp. 56-62
    • Scherag, A.1    Müller, H.-H.2    Dempfle, A.3    Hebebrand, J.4    Schäfer, H.5
  • 18
    • 31744435871 scopus 로고    scopus 로고
    • Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies
    • Skol, A. D., Scott, L. J., Abecasis, G. R., and Boehnke, M. (2006). Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies. Nature Genetics 38, 209 213.
    • (2006) Nature Genetics , vol.38 , pp. 209-213
    • Skol, A.D.1    Scott, L.J.2    Abecasis, G.R.3    Boehnke, M.4
  • 19
    • 36248975593 scopus 로고    scopus 로고
    • Optimal designs for two-stage genome-wide association studies
    • Skol, A. D., Scott, L. J., Abecasis, G. R., and Boehnke, M. (2007). Optimal designs for two-stage genome-wide association studies. Genetic Epidemiolgy 31, 776 788.
    • (2007) Genetic Epidemiolgy , vol.31 , pp. 776-788
    • Skol, A.D.1    Scott, L.J.2    Abecasis, G.R.3    Boehnke, M.4
  • 21
    • 1842826262 scopus 로고    scopus 로고
    • On the inefficiency of the adaptive design for monitoring clinical trials
    • Tsiatis, A. A. and Mehta, C. (2003). On the inefficiency of the adaptive design for monitoring clinical trials. Biometrika 90, 367 378.
    • (2003) Biometrika , vol.90 , pp. 367-378
    • Tsiatis, A.A.1    Mehta, C.2
  • 22
    • 33646250184 scopus 로고    scopus 로고
    • Optimal two-stage genotyping designs for genome-wide association scans
    • Wang, H., Thomas, D. C., Pe'er, I., and Stram, D. O. (2006). Optimal two-stage genotyping designs for genome-wide association scans. Genetic Epidemiolgy 30, 356 368.
    • (2006) Genetic Epidemiolgy , vol.30 , pp. 356-368
    • Wang, H.1    Thomas, D.C.2    Pe'Er, I.3    Stram, D.O.4
  • 23
    • 25444463596 scopus 로고    scopus 로고
    • A hybrid design for studying genetic influences on risk of diseases with onset early in life
    • Weinberg, C. R. and Umbach, D. M. (2005). A hybrid design for studying genetic influences on risk of diseases with onset early in life. American Journal of Human Genetics 77, 627 636.
    • (2005) American Journal of Human Genetics , vol.77 , pp. 627-636
    • Weinberg, C.R.1    Umbach, D.M.2
  • 24
    • 84969213492 scopus 로고    scopus 로고
    • Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
    • Wellcome Trust Case Control Consortium
    • Wellcome Trust Case Control Consortium 2007). Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447, 661 678.
    • (2007) Nature , vol.447 , pp. 661-678
  • 25
    • 0034651669 scopus 로고    scopus 로고
    • On the relative sample size required for multiple comparisons
    • Witte, J. S., Elston, R. C., and Cardon, L. R. (2000). On the relative sample size required for multiple comparisons. Statistics in Medicine 19, 369 372.
    • (2000) Statistics in Medicine , vol.19 , pp. 369-372
    • Witte, J.S.1    Elston, R.C.2    Cardon, L.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.