%0 Figure %A David Hill, W. %A de Leeuw, Christiaan %A Davies, Gail %A Cherry McLachlan Liewald, David %A Payton, Anthony %A C. A. Craig, Leone %A J. Whalley, Lawrence %A Horan, Mike %A Ollier, William %A M. Starr, John %A Pendleton, Neil %A Posthuma, Danielle %A C. Bates, Timothy %A J. Deary, Ian %D 2014 %T Simulations exploring how power fuctuates as a function of total variance explained when the effect is spread over 100 SNPs. %U https://plos.figshare.com/articles/figure/_Simulations_exploring_how_power_fuctuates_as_a_function_of_total_variance_explained_when_the_effect_is_spread_over_100_SNPs_/960631 %R 10.1371/journal.pone.0091690.g003 %2 https://plos.figshare.com/ndownloader/files/6724119 %K gene group analyses %K cohort %K heterotrimeric G protein coding genes %K variation %K childhood IQ %K Cognitive Ability %K Functional Gene Group Analysis Indicates %K G protein systems %K intelligence differences %K Heterotrimeric G Proteins %K SNP %K heterotrimeric G protein genes %K time points %K nucleotide polymorphisms %X

For each effect size (1,2,3,4,5 or 10% of the total variance) 100 simulations were carried out. The mean power from these 100 simulations is shown in red with error bars depicting ±1 standard error.

%I PLOS ONE