An alternative foundation for the planning and evaluation of linkage analysis. II. Implications for multiple test adjustments

Human Heredity

Volumn 61, Issue 4, 2006, Pages 200-209

  Strug, Lisa J ^a,c   Hodge, Susan E ^a,b  

^a Columbia University ^*  (United States)

^b NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

^c Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

Linkage analysis; Multiple testing; Replication; Two stage design

Indexed keywords

ANALYTICAL ERROR; ARTICLE; GENE LOCUS; GENETIC EPIDEMIOLOGY; GENETIC LINKAGE; GENOME; LINKAGE ANALYSIS; MATHEMATICAL ANALYSIS; REPLICATION STUDY; SCORING SYSTEM; STATISTICAL PARAMETERS;

CHROMOSOME MAPPING; DATA INTERPRETATION, STATISTICAL; GENETIC LINKAGE; HUMANS; LINKAGE (GENETICS); RESEARCH DESIGN;

EID: 33748487124     PISSN: 00015652     EISSN: None     Source Type: Journal    
DOI: 10.1159/000094775     Document Type: Article

References (17)

1. Rothman KJ: No adjustments are needed for multiple comparisons. Epidemiology 1990;1:43-46.
2. Thomas DC, Clayton DG: Betting odds and genetic associations (review). J Natl Cancer Inst 2004;96:421-423.
3. Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Statist Soc B 1995;57:289-300.
4. Royall RM: Statistical Evidence: A Likelihood Paradigm. London, Chapman and Hall, 1997.
5. Strug LJ, Hodge SE: An alternative foundation for the planning and evaluation of linkage analysis. I. Decoupling 'Error Probabilities' from 'Measures of Evidence.' Hum Hered 2006;61:166-188.
6. Royall RM: On the probability of observing misleading statistical evidence (with discussion). J Am Statist Assoc 2000;95:760-780.
7. Blume JD: Tutorial in Biostatistics: Likelihood methods for measuring statistical evidence. Stat Med 2002;21:2563-2599.
8. Vieland VJ, Hodge SE: Review of statistical evidence: a likelihood paradigm by R. Royall. Am J Hum Genet 1998;63:283-289.
9. Cornfield J: Sequential trials, sequential analysis, and the likelihood principle. Am Stat 1966;29:18-23.
10. Robbins H: Statistical methods related to the law of the iterated logarithm. Ann Math Stat 1970;41:1397-1409.
11. Wald A: Sequential Analysis. New York, Dover, 1973.
12. Malley JD, Naiman DQ, Bailey-Wilson JE: A comprehensive method for genome scans. Hum Hered 2002;54:174-185.
13. Skol AD, Scott LJ, Abecasis GR, Boehnke M: Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies. Nat Genet 2006;38:209-213.
14. Elston RC: P values, power and pitfalls in the linkage analysis of psychiatric disorders; in Gershon ES, Cloninger CR (eds): Genetic Approaches to Mental Disorders. American Psychiatric Press, Washington, DC, 1994, pp 3-21.
15. Holmans P, Zubenko GS, Crowe RR, DePaulo JR Jr, Schefter WA, Weissman MM, Zubenko WN, Boutelle S, Murphy-Eberenz K, MacKinnon D, McInnis MG, Marta DH, Adams P, Knowles JA, Gladis M, Thomans J, Chellis J, Miller E, Levinson DF: Genome-wide significant linkage to recurrent, early-onset major depressive disorder on chromosome 15q. Am J Hum Genet 2004;74:1154-1167.
16. Saville DJ: Multiple comparison procedures: the practical solution. The American Statistician 1990;44:174-180.
17. Whittemore AS: Genetic association studies: time for a new paradigm? Cancer Epidemiol Biomarkers Prev 2005;6:1359-1360.