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Genome-wide association between markers with call rate > 95% and minor allele frequency > 10% and the phenotypic data was performed by fitting a Mixed Linear Model (MLM) in Tassel v5.0 (Bradbury et al. 2007), that includes a kinship matrix as random term to account for genetic relatedness due to population structure.
Statistical significance of differences between the tumour response categories (CR, PR, SD, PD) was obtained by fitting a mixed model using the compound symmetry assumption and the Kenward Roger method.
Variance components were calculated by fitting a mixed linear model (MLM) to multi-environment data.
The cluster randomised nature of the design will be accounted for in the analysis by fitting a mixed effects model.
Normalization of raw data was performed by fitting a mixed linear model across all arrays in the experiment.
The function duplicateCorrelation [ 110] was used to estimate the correlation between technical replicates (dye swaps) by fitting a mixed linear model by REML individually for each probe.
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Each patient phenotype was compared with the healthy control cohort by fitting a linear mixed model to each gene by using the R library lme4.
Analysis of the Decisional Conflict Scale (DCS) [ 39] was carried out by fitting a linear mixed model to all available data.
The null distribution of the log2-transformed probe set-specific expression is estimated by fitting a normal mixed model where the subject effect is random.
Data were analyzed by fitting a linear mixed model using the restricted maximum likelihood method (REML) provided in Genstat, release 10 [ 24].
We analysed the variation in both rh3:rh3 + 4 and rh5:rh5 + 6 in R [ 54] by fitting a linear mixed model (LMM) for each, using lme4 version 1.1-5 [ 55].
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