Power calculations using exact data simulation: A useful tool for genetic study designs

Behavior Genetics

Volumn 38, Issue 2, 2008, Pages 202-211

  Van Der Sluis, Sophie ^a   Dolan, Conor V ^b   Neale, Michael C ^a,c   Posthuma, Danielle ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

^c VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

Power; Simulation

Indexed keywords

ARTICLE; HUMAN; METHODOLOGY; POPULATION DYNAMICS; POWER CALCULATION; SIMULATION; STATISTICS;

COMPUTER SIMULATION; ENVIRONMENT; GENETICS, BEHAVIORAL; LIKELIHOOD FUNCTIONS; MODELS, GENETIC; MONTE CARLO METHOD; PROBABILITY; RESEARCH DESIGN; SENSITIVITY AND SPECIFICITY;

EID: 40049106224     PISSN: 00018244     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10519-007-9184-x     Document Type: Article

References (32)

1. Abecasis GR, Cardon LR, Cookson WOC (2000a) A general test of association for quantitative traits in nuclear families. Am J Hum Genet 66:279-292
2. Abecasis GR, Cookson WOC, Cardon LR (2000b) Pedigree tests of transmission disequilibrium. Eur J Hum Genet 8:545-551
3. Azzelini A (1996) Statistical inference based on the likelihood. Chapman and Hall, London
4. Bollen KA (1989) Structural equations with latent variables. Wiley, New York
5. Bollen KA, Stine RA (1993) Bootstrapping goodness-of-fit measures in structural equation models. In: Bollen KA, Long JS (eds) Testing structural equation models. Sage, Newbury Park, CA, pp. 111-135
6. Boomsma DI, Dolan CV (1998) A comparison of power to detect a QTL in sib-pair data using multivariate phenotypes, mean phenotypes, and factor scores. Behav Genet 28(5):329-340
7. Carey G (2005) Cholesky problems. Behav Genet 35(5):653-665
8. Dolan CV, Boomsma DI, Neale MC (1999) A note on the power provided by sibships of sizes 2, 3, and 4 in genetic covariance modeling of a codominant QTL. Behav Genetics 29(3):163-170
9. Dolan CV, van der Sluis S, Grasman R (2005) A note on normal theory power calculation in SEM with data missing completely at random. Struct Eq Model 12(2):245-262
10. Dominicus A, Skrondal A, Gjessing HK, Pedersen NL, Palmgren J (2006) Likelihood ratio tests in behavior genetics: problems and solutions. Behav Genet 36(2):331-340
11. Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics, 4th edn. Pearson Education Ltd., Essex, England
12. Fulker DW, Cherny SS (1996) An improved multipoint sib-pair analysis of quantitative traits. Behav Genet 26:527-532
13. Fulker DW, Cherny SS, Sham PC, Hewitt JK (1999) Combined linkage and association sib-pair analysis for quantitative traits. Am J Hum Genet 64:259-267
14. Heath AC, Eaves LC (1985) Resolving the effects of phenotype and social background on mate selection. Behav Genet 15(1):15-30
15. Heath AC, Kendler KS, Eaves LC, Markell D (1985) The resolution of cultural and biological inheritance: informativeness of different relationships. Behav Genet 15(5):439-465
16. Hewitt JK, Heath AC (1988) A note on computing the chi-square noncentrality parameter for power analysis. Behav Genet 18:105-108
17. Martin NG, Eaves LC, Kersey MJ, Davies P (1978) The power of the classical twin design. Heredity 40:97-116
18. McLachlan G, Peel D (2002) Finite mixture models. Wiley, New York
19. Muthén, LK, Muthén, BO (1998-2007) Mplus User's guide, 4th edn. Muthén & Muthén, Los Angeles, CA
20. Neale MC, Eaves LJ, Kendler KS (1994) The power of the classical twin study to resolve variation in threshold traits. Behav Genet 24:239-258
21. Neale MC, Boker SM, Xie G, Maes HH (2003) Mx: statistical modeling, 6th edn. Department of Psychiatry, Richmond, VA
22. Posthuma D, Boomsma DI (2000) A note on the statistical power in extended twin designs. Behav Genet 30(2):147-158
23. Purcell S (2002). Variance components models for gene-environment interaction in twin analysis. Twin Res 5:554-571
24. Purcell S, Sham P (2002) Variance components models for gene-environment interaction in quantitative trait locus linkage analysis. Twin Research 5(6):572-576
25. Purcell S, Cherny SS, Sham PC (2003) Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits. Bioinformatics 19(1):149-150
26. Saris WE, Satora A (1993) Power evaluations in structural equation models. In: Bollen KA, Long JS (eds) Testing structural equation models. Sage, Newbury Park, CA, pp 181-204
27. Satorra A, Saris WE (1985) The power of the likelihood ratio test in covariance structure analysis. Psychometrika 50:83-90
28. Schafer JL, Graham JW (2002) Missing data: our view of the state of the art. Psychological Methods 7:147-177
29. Sham PC, Cherny SS, Purcell S, Hewitt JK (2000) Power of Linkage versus Association Analysis of Quantitative Traits, by Use of Variance-Components Models, for Sibship Data. Am J Hum Genet 66:1616-1630
30. Sham P, Purcell S, Cherny SS, Abecasis GR (2002) Powerful regression-based quantitative-trait linkage analysis of general pedigrees. Am J Hum Genet 71:238-253
31. Van den Oord EJCG (1999) Method to detect genotype-environment interactions for quantitative trait loci in association studies. Am J Epidemiol 150(11):1179-1187
32. Van der Sluis S, Dolan CV, Neale MC, Posthuma D (2007) A general test for gene-environment interaction in family-based association analysis of quantitative traits. Manuscript under revision