Publications

Van der Sluis, S., Posthuma, D., Nivard, M.G., Verhage, M., & Dolan, C.V. (2013). Power in GWAS: lifting the curse of the clinical cut-off. Molecular Psychiatry, 18(1), 2-3.

Van der Sluis, S., Posthuma, D., & Dolan, C.V. (2013). TATES: Efficient multivariate genotype-phenotype analysis for genome-wide association studies. PLoSGenetics, 9(1), e1003235.

Molenaar, D., van der Sluis, S., Boomsma, D.I., Haworth, C.M.A., Hewitt, J.K., Martin, N.G., Plomin, R., Wright, M.J., & Dolan, C.V. (2013). Genotype by Environment Interactions in Cognitive Ability: A Survey of 14 Studies from 4 Countries covering 4 Age Groups. Behavior Genetics. 43(3), 208-219.

Cramer, A.O.J., van der Sluis, S., Noordhof, A., Wichers, M., Geschwind, N., Aggen, S.H., Kendler, K.S., & Borsboom, D. (2012) Dimensions of normal personality as networks in search of equilibrium: You can’t like parties if you don’t like people. European Journal of Personality. 26 (4), Special Issue, 414–431.

Cramer, A.O.J., van der Sluis, S., Noordhof, A., Wichers, M., Geschwind, N., Aggen, S.H., Kendler, K.S., & Borsboom, D. (2012) Measurable Like Temperature or Mereological Like Flocking? On the Nature of Personality Traits. European Journal of Personality. 26 (4), Special Issue, 451–459.

Van der Sluis, S., Posthuma, D., & Dolan, C.V. (2012) A note on false positives in GxE modelling in twin data: necessary extensions of the univariate moderation model proposed by Purcell. Behavior Genetics, 42(1), 170-186.

Molenaar, D., van der Sluis, S., Boomsma, D.I., & Dolan, C.V. (2012). Detecting Specific Genotype by Environment Interactions using Marginal Maximum Likelihood Estimation in the Classical Twin Design. Behavior Genetics, 42(3),483-499.

Van der Sluis, S., Verhage, M., Posthuma, D., & Dolan, C.V. (2010). Phenotypic Complexity, Measurement Bias, and Poor Phenotypic Resolution Contribute to the Missing Heritability Problem in Genetic Association Studies. Plos One, 5(11), 1-13.

Minica, C.C., Boomsma, D.I., van der Sluis, S. & Dolan, C.V. (2010). Genetic Association in Multivariate Phenotypic Data: Power in Five Models. Twin Research and Human Genetics, 13, 525–543.