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Volumn 31, Issue 7, 2007, Pages 741-747

Improving power in genome-wide association studies: Weights tip the scale

Author keywords

Bonferroni correction; Genome wide association analysis; Multiple testing; Weighted P values

Indexed keywords

ARTICLE; GENE LINKAGE DISEQUILIBRIUM; GENOME ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PHENOTYPE; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS;

EID: 36248977635     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20237     Document Type: Article
Times cited : (76)

References (10)
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    • Roeder, K.1    Bacanu, S.A.2    Wasserman, L.3    Devlin, B.4
  • 6
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    • Rubin D, van der Laan M, Dudoit S. 2006. Multiple testing procedures which are optimal at a simple alternative. Collection of Biostatistics Research Archive, http://www.bepress.com/ucbbiostat/paper171/
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  • 7
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    • Optimal two-stage genotyping in population-based association studies
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    • Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies
    • Skol AD, Scott LJ, Abecasis GR, Boehnke M. 2006. Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies. Nat Genet 38:209-213.
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    • Skol, A.D.1    Scott, L.J.2    Abecasis, G.R.3    Boehnke, M.4
  • 9
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    • Optimal two-stage genotyping designs for genome-wide association scans
    • Wang H, Thomas DC, Pe'er I, Stram DO. 2006. Optimal two-stage genotyping designs for genome-wide association scans. Genet Epidemiol 30:356-368.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.