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. 2018 Oct 2;25(10):2275–2294. doi: 10.1038/s41380-018-0264-5

Table 1.

Description of 51 SNP sets associated with Temperament sets (p < 1E−05)

Finnish sample Probability of health # Gs
SNP sets SNP set names Character % Coding SKAT p-value Average SNPs Best SNP Worst SNP # Subjects # SNPs Well- being Ill-being
G_13_3 ERK-conditioned impulsivity 71 7.38E−14 1.50E−01 1.46E−04 1.00E+00 95 158 0.03 0.32 21
G_8_8 Global inositol/chemokine pathways Organized 60 1.06E−14 4.39E−01 5.04E−05 1.00E+00 224 611 0.08 0.07 286
G_13_10 Cholinergic neuromodulation 71 3.13E−08 9.38E−02 8.81E−06 5.99E−01 148 57 0.09 0.08 17
G_21_18 Cognitive flexibility 73 2.75E−05 3.53E−01 1.10E−03 1.00E+00 116 47 0.13 0.09 15
G_30_10 TNF-based resilience 50 1.21E−05 2.33E−01 1.74E−04 1.00E+00 47 45 0.09 0.06 6
G_7_3 Neurogenesis Organized 66 3.32E−06 4.07E−01 4.02E−05 1.00E+00 133 364 0.17 0.36 128
G_38_23 Sensory sensitivity 63 7.60E−07 1.23E−02 3.90E−04 1.12E−01 39 37 0.05 0.49 16
G_25_3 Acetylcholine biosynthesis 50 2.06E−06 3.62E−03 1.66E−04 1.54E−02 16 31 0.13 0.50 2
G_31_8 Neurotrophin Organized 57 4.34E−16 2.55E−01 4.02E−05 1.00E+00 54 183 0.09 0.54 60
G_28_15 Estrogen neuroplasticity Dependent 52 3.10E−06 3.66E−01 2.05E−04 1.00E+00 101 123 0.08 0.38 29
G_11_7 HPA stress reactivity 64 9.17E−10 1.49E−01 1.66E−04 1.00E+00 26 92 0.08 0.38 11
G_26_14 Glucose transport Apathetic 60 1.12E−07 2.78E−01 1.31E−04 1.00E+00 46 75 0.09 0.24 25
G_41_33 GPCR neuroplasticity Dependent 47 1.47E−06 2.70E−01 7.41E−04 1.00E+00 56 76 0.11 0.21 15
G_21_16 Acetylcholine biosynthesis 100 8.24E−06 2.41E−03 1.66E−04 1.54E−02 37 26 0.14 0.22 1
G_38_38 Ion permeability 67 2.67E−12 1.60E−01 1.08E−04 1.00E+00 38 79 0.00 0.16 18
G_7_2 GPCR dysregulation Dependent 61 2.12E−18 3.39E−01 2.95E−04 1.00E+00 211 303 0.09 0.23 147
G_12_11 Ras-Akt interaction 75 8.00E−08 5.89E−02 2.77E−04 5.95E−01 105 44 0.03 0.21 4
G_16_1 PI3K-based memory 64 1.72E−05 2.61E−01 3.35E−04 1.00E+00 108 53 0.16 0.27 11
G_37_14 Neuroexcitability 58 1.25E−05 2.50E−02 1.74E−04 8.12E−01 21 42 0.05 0.14 12
G_13_12 Acetylcholine biosynthesis 100 6.26E−06 8.60E−02 1.66E−04 1.00E+00 78 47 0.23 0.31 1
G_12_1 Episodic learning Creative 61 2.92E−13 2.44E−01 1.08E−04 1.00E+00 146 189 0.20 0.06 64
G_28_10 WD/CDK neuroplasticity 50 7.40E−06 3.11E−02 3.22E−04 2.76E−01 46 30 0.15 0.15 8
G_5_3 Regulation pathways 0 1.40E−05 4.24E−03 1.74E−04 3.74E−02 172 50 0.28 0.05 2
G_38_13 Glucuronidase habit extinction 57 6.25E−06 6.73E−02 1.74E−04 7.31E−01 60 63 0.13 0.20 7
G_35_22 PI3K-based memory 80 2.90E−07 1.04E−01 1.31E−04 5.71E−01 43 36 0.07 0.21 5
G_33_4 ERK-PKA interaction 50 4.53E−05 1.80E−01 3.35E−04 1.00E+00 24 51 0.00 0.33 6
G_12_8 Neuroprotection Resourceful 63 3.30E−22 2.68E−01 6.89E−05 1.00E+00 173 285 0.09 0.03 111
G_39_21 RGS negative emotionality 60 8.48E−06 1.03E−01 3.22E−04 7.53E−01 56 37 0.11 0.07 5
G_7_7 Olfaction Dependent 52 9.84E−08 3.41E−01 1.66E−04 1.00E+00 145 193 0.03 0.10 58
G_21_3 Cellular senescence Apathetic 64 8.23E−07 3.00E−01 1.52E−04 1.00E+00 60 117 0.10 0.23 39
G_39_26 mTOR myelination 62 1.08E−09 2.89E−01 5.50E−05 1.00E+00 20 118 0.20 0.30 26
G_42_39 Approach-avoidance conflict 45 2.42E−06 2.28E−01 1.31E−04 1.00E+00 19 52 0.16 0.11 11
G_35_7 PI3K-based memory 67 2.64E−05 2.15E−01 6.19E−04 9.15E−01 32 35 0.09 0.13 12
G_19_3 Glucuronidase habit extinction 80 1.05E−05 6.97E−02 3.35E−04 1.00E+00 48 61 0.08 0.17 5
G_22_6 Blood-brain barrier Dependent 60 1.09E−07 2.67E−01 1.66E−04 1.00E+00 37 93 0.08 0.16 30
G_20_2 Enhanced memory Creative 78 2.39E−07 3.15E−01 1.08E−04 1.00E+00 25 80 0.24 0.12 18
G_21_17 TGFβ resistance to aging 65 2.38E−05 3.38E−01 4.23E−04 1.00E+00 67 105 0.18 0.09 26
G_36_18 Brain-RNA-biogenesis 0 1.50E−06 2.06E−03 2.05E−04 8.20E−03 19 25 0.05 0.26 4
G_36_29 Electron transport Organized 57 4.26E−08 3.57E−01 6.25E−05 1.00E+00 25 185 0.08 0.48 49
G_14_12 Ras-based stress memory 55 1.84E−07 2.58E−01 8.81E−06 1.00E+00 83 74 0.12 0.07 22
G_25_20 Fatty acid oxidation 67 9.84E−07 1.03E−01 1.66E−04 7.16E−01 33 62 0.03 0.12 3
G_33_33 TGFβ memory enhancement 62 1.36E−07 1.65E−01 1.31E−04 1.00E+00 49 47 0.10 0.08 13
G_9_2 Serotonin–cytokine interaction 73 1.33E−05 3.16E−02 3.35E−04 1.00E+00 140 56 0.04 0.24 11
G_30_9 Erk-IP3-PKC Interaction 75 2.80E−16 2.00E−01 1.80E−05 1.00E+00 69 138 0.17 0.14 52*
G_38_17 MAPK memory enhancement 46 8.72E−06 2.20E−01 5.60E−04 1.00E+00 14 42 0.00 0.43 13*
G_40_5 Mannosidase habit extinction 67 3.40E−05 5.49E−02 3.22E−04 2.76E−01 16 30 0.06 0.38 3*
G_30_28 Hippocampal synaptic plasticity 30 2.64E−06 2.76E−01 1.31E−04 1.00E+00 34 53 0.06 0.12 10*
G_16_5 Erk-IP3-PKC interaction-based stress memory 71 6.39E−10 3.87E−01 4.62E−04 1.00E+00 87 324 0.09 0.15 1*
G_16_15 IL-2 neuroimmune response 43 3.E−04 9.20E−01 4.94E−01 1.00E+00 94 14 0.16 0.15 7**
G_37_6 Methylation-based gene silencing 41 5.00E−08 1.13E−01 7.93E−04 1.61E−01 26 34 0.35 0.25 23#
G_41_37 PI3K-MAPK cognitive function 51 2.08E−05 4.95E−02 8.22E−04 2.96E−01 41 38 0.10 0.25 11#

The SNP sets are named based on molecular pathways and neuronal functions of the genes that distinguish the sets from one another (see Supplementary Table S4). % coding indicates the percentage of protein-coding genes. Strengths of association are compared for the SNP set, the best SNP, and average SNP based on SKAT p-values. The number of subjects and SNPs comprising each SNP set is specified. The probabilities of the well-being and ill-being are given for subjects in each SNP set (see also Supplementary Table S2). Character indicates the association of the set with the Character phenotype (published elsewhere [40]). # Gs indicates the number of genes mapped by the SNP sets (Figure S6), where genes can be mapped by more than one SNP set

*indicates SNP-sets directly associated only with temperament sets