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Behavior Genetics|April 7, 2016
Multivariate Gene-Based Association Test on Family Data in MGASCésar-Reyer Vroom, Danielle Posthuma, Miao-Xin Li, et al.
Plos Genetics|January 30, 2013
TATES: efficient multivariate genotype-phenotype analysis for genome-wide association studiesSophie van der Sluis, Danielle Posthuma, Conor V Dolan
Behavior Genetics|July 13, 2011
A note on false positives and power in G × E modelling of twin dataSophie van der Sluis, Danielle Posthuma, Conor V Dolan
Plos One|November 19, 2010
Phenotypic complexity, measurement bias, and poor phenotypic resolution contribute to the missing heritability problem in genetic association studiesSophie van der Sluis, Matthijs Verhage, Danielle Posthuma, et al.
Bioinformatics (Oxford, England)|November 29, 2014
MGAS: a powerful tool for multivariate gene-based genome-wide association analysisSophie Van der Sluis, Conor V Dolan, Jiang Li, et al.
Behavior Genetics|April 5, 2008
A general test for gene-environment interaction in sib pair-based association analysis of quantitative traitsSophie van der Sluis, Conor V Dolan, Michael C Neale, et al.
Behavior Genetics|December 18, 2007
Power calculations using exact data simulation: a useful tool for genetic study designsSophie van der Sluis, Conor V Dolan, Michael C Neale, et al.
Twin Research and Human Genetics : the Official Journal of the International Society for Twin Studies|June 23, 2006
Detecting genotype-environment interaction in monozygotic twin data: comparing the Jinks and Fulker test and a new test based on Marginal Maximum Likelihood estimationSophie van der Sluis, Conor V Dolan, Michael C Neale, et al.
The Behavioral and Brain Sciences|June 30, 2010
Consequences of a network view for genetic association studiesSophie van der Sluis, Kees-Jan Kan, Conor V Dolan
BMC Neuroscience|December 22, 2015
Multilevel analysis quantifies variation in the experimental effect while optimizing power and preventing false positivesEmmeke Aarts, Conor V Dolan, Matthijs Verhage, et al.
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