Franke et al. Supplemental Information Neuroimaging procedures All scans covered the entire brain and had a voxel-size of 1 x 1 x 1 mm3. Automated volumetry as implemented in the FIRST module (version 1.1) of FSL (version 4.1) (http://www.fmrib.ox.ac.uk/fsl/first/) (1) was applied to segment brainstem (defined as medulla, pons and midbrain, bordering the ventral diencephalon, the fourth ventricle and the cerebellum) as well as bilateral hippocampus, amygdala, nucleus accumbens, caudate nucleus, thalamus and globus pallidus. Volumes of bilateral structures were added-up for genetic testing. Segmentation into gray matter and white matter was performed using the VBM5.1 toolbox in SPM5 using priors (default settings). This method uses an optimized voxel-based morphometry (VBM) protocol (2) as well as a model based on Hidden Markov Random Fields (HMRF) developed to increase signal-to-noise ratio. Total volumes of gray matter and white matter were calculated by adding the resulting tissue probabilities. Traits were checked for normal distribution of values before further analysis; no transformation was required. Whole-brain VBM was performed in SPM5, separately for data acquired at 1.5T and 3T. Data were analyzed using the gray and white matter images in two separate analyses. Diffeomorphic image registration was performed using DARTEL (3) followed by calculation of Jacobian-scaled images and transformation to Montreal Neurological Institute (MNI) space using affine transformation. Finally, all data were smoothed with an 8 mm FWHM Gaussian smoothing kernel. A full-factorial ANCOVA was applied using genotype as factor and participants' age, gender, total brain volume, and scan protocol were added to the model as covariates. Statistics were corrected for non-stationarity and were applied at p(whole brain uncorrected) < 1.0E-03 and subsequent cluster statistics at p(FWE) < 5.0E-02. 1 Franke et al. Table S1. Nominal association p-values at the CACNA1C locus for brain structures in 585 healthy individuals (18 to 36 years of age). SNPs were included in the table if they showed association with at least one of the structures at p < 5.00E-02. Positions on the chromosome are according to Genome Build 36.3. In light gray shading is the SNP associated with bipolar disorder (rs1006737), in bold SNPs showing nominal association with a trait. MAF Position on chrom. 12 in bp Position in gene Gray matter White matter Nucleus accumbens Amygdala Caudate nucleus Globus pallidus Hippocampus Thalamus Brainstem rs4765880 0.052 2010886 upstream 5.49E-01 8.69E-01 2.83E-01 2.87E-01 2.93E-02 2.63E-01 2.60E-02 4.35E-03 1.15E-01 SNP rs-number rs3794299 0.128 2156245 intron 3 4.87E-02 2.93E-01 1.90E-01 7.05E-01 8.99E-01 7.00E-03 8.89E-01 2.36E-01 4.69E-01 rs1006737 0.283 2215556 intron 3 3.56E-01 5.09E-02 5.71E-01 7.11E-01 7.82E-01 9.64E-01 2.33E-01 6.27E-01 3.10E-01 rs2283295 0.100 2294172 intron 3 5.43E-02 1.99E-02 9.53E-01 9.25E-02 3.42E-01 8.29E-02 6.45E-02 8.11E-02 1.24E-04 rs2238061 0.100 2296049 intron 3 5.15E-02 1.88E-02 9.59E-01 9.07E-02 3.29E-01 8.29E-02 6.87E-02 8.19E-02 1.22E-04 rs2239044 0.082 2300439 intron 3 2.44E-02 3.22E-02 6.98E-01 3.01E-01 6.62E-01 1.08E-01 2.71E-01 2.66E-01 4.05E-04 rs2283298 0.100 2305039 intron 3 5.43E-02 1.99E-02 9.53E-01 9.25E-02 3.42E-01 8.28E-02 6.45E-02 8.11E-02 1.24E-04 rs3819529 0.082 2306920 intron 3 2.40E-02 3.70E-02 9.32E-01 4.61E-01 9.33E-01 2.89E-01 2.97E-01 4.44E-01 5.76E-04 rs11062192 0.108 2310961 intron 3 2.68E-02 1.13E-02 7.50E-01 1.21E-01 4.97E-01 5.55E-02 1.75E-01 7.74E-02 6.79E-05 rs11062193 0.082 2310981 intron 3 3.90E-02 5.19E-02 9.27E-01 4.34E-01 9.81E-01 2.62E-01 3.38E-01 4.30E-01 7.18E-04 rs2051992 0.108 2311587 intron 3 2.40E-02 9.55E-03 8.70E-01 1.14E-01 4.70E-01 5.38E-02 1.45E-01 6.02E-02 5.71E-05 rs2238064 0.083 2312442 intron 3 3.53E-02 3.92E-02 9.66E-01 4.68E-01 9.28E-01 2.69E-01 3.97E-01 4.90E-01 6.45E-04 rs2239050 0.109 2317675 intron 3 1.75E-02 9.51E-03 7.18E-01 1.17E-01 5.33E-01 6.70E-02 1.33E-01 5.68E-02 5.91E-05 rs7959938 0.107 2320726 intron 3 1.92E-02 6.84E-03 9.96E-01 7.61E-02 3.56E-01 3.61E-02 9.76E-02 5.02E-02 3.62E-05 rs2024077 0.295 2320856 intron 3 1.39E-02 4.58E-01 9.93E-02 1.04E-02 1.13E-01 5.02E-03 4.57E-02 4.16E-03 2.09E-02 rs2239052 0.100 2323349 intron 3 5.43E-02 1.99E-02 9.53E-01 9.25E-02 3.42E-01 8.28E-02 6.45E-02 8.11E-02 1.24E-04 rs4765958 0.061 2534370 intron 10 7.12E-01 3.67E-01 7.86E-01 4.29E-03 6.19E-01 8.05E-01 5.99E-01 6.07E-01 2.19E-02 rs12369334 0.088 2649216 Intron 38 7.10E-01 7.66E-02 3.30E-01 9.89E-01 1.46E-03 9.60E-01 1.47E-01 2.97E-01 1.02E-01 SNP, single nucleotide polymorphism; MAF, minor allele frequency 2 Franke et al. rs2239050 rs1006737 rs2051992 rs7959938 Figure 1: Linkage Disequilibrium (LD) plot of the CACNA1C gene (and surrounding 20 kb) as derived from 585 data sets in the Brain Imaging Genetics (BIG) study. The location of the three SNPs with strongest evidence of association with brainstem volume is shown (rs2051992, rs2239050, rs7959938), as is the location of rs1006737, the SNP genome-wide significantly associated with bipolar disorder by others. 3 Franke et al. Figure S2. Sagittal (left) and coronal (right) images showing the results of the VBM analyses projected on a standard brain in MNI space. Increased white matter voxel-based volume for rs7959938 A-carriers compared to C homozygotes was found in the 1.5T (red, p(FWE) = 0.001) and 3T data (blue, p(FWE) = 0.003). Strong overlap (pink) was found in the midbrain and pons. 4 Franke et al. 1. Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TE, Johansen-Berg H, et al. (2004): Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23 Suppl 1: S208-S219. 2. Ashburner J, Friston KJ (2000): Voxel-based morphometry--the methods. Neuroimage 11: 805-821. 3. Ashburner J (2007): A fast diffeomorphic image registration algorithm. Neuroimage 38: 95-113. 5
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