Page 57 - The prevalence of the Val66Met polymorphism in musicians: Possible evidence for compensatory neuroplasticity from a pilot study
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S. Si et al.                                                                          NeuroImage 213 (2020) 116681
         2.3. Statistical analysis                            Table 2
                                                              Characteristics of the genotyped single-nucleotide polymorphisms (SNPs) of
           Hierarchical regression models were used to examine the interactive  DRD2.
         effects of variations in DRD2 and COMT SNPs and parenting styles on  SNP a  Position b  Location  Allele  MAF  HWE
         creativity. The analysis was first conducted in targeted SNP of DRD2 and             (minor/  (%)   p
         COMT respectively. The procedure was as follows: participants’ gender               major)
         and intelligence were entered into the first step. The main effects of  rs1799978  112851561  5 Promoter region  G/A  19.1  .275
                                                                                 0
                                                                                 0
         parenting style and SNP were entered in the second step. Finally, the  rs1799732  112851462  5 Promoter region  Del/C  10.4  .438
                                                                rs4938019  112846601  Intron 1  C/T   39.1  .685
         interaction terms for parenting style and SNP were entered in the third
                                                                rs4648317  112836742  Intron 1  T/C   40.5  .616
         step. Then, similar data processing was also done in CGS analysis. All
                                                                rs4245148  112825629  Intron 1  T/C   14.3  .232
         analyses were conducted in IBM SPSS Statistics Software Version 22.  rs4648319  112819573  Intron 1  T/C  36.5  .145
           Then we performed sensitivity analyses when significant CGS x  rs4436578  112811975  Intron 1  C/T  43.0  .844
         parenting style effect was found. Regions of significance (RoS) tests were  rs7122246  112809667  Intron 1  A/G  5.3  .326
                                                                rs2283265  112790746  Intron 5  T/G   45.1  .434
         performed to probe interactions in differential susceptibility research
                                                                rs1076560  112788898  Intron 6  A/C   44.5  .625
         through an online application (http://www.yourpersonality.net/int  rs6277  112788669  Exon 7  T/C  5.5  .366
         eraction/, see Roisman et al.). To estimate the differential susceptibil-  rs6276  112786607  3 UTR  A/G  48.0  .561
                                                                                 0
         ity model, the RoS analysis provides five indexes (Roisman et al., 2012).  rs6279  112786283  3 UTR  G/C  47.9  .628
                                                                                 0
                                                                rs6278  112785934  3 UTR     T/G      42.6  .922
                                                                                 0
         First, the lower and higher bound, where the effect of CGS on creativity is
                                                                rs1800497  112776038  3 flanking region  T/C  42.6  1
                                                                                 0
         significant, is recommended to be within  2 Standard Deviation (SD).
                                                                                 (also ANKK1 Exon
         Second, the crossover point, where the regression lines intersection is  8)
         expected to be closed to zero. Third, the proportion of interaction (PoI),
                                                              Note:MAF ¼ minor allele frequency; HWE ¼ Hardy–Weinberg equilibrium; UTR
         which is represented on the right side of the crossover point, indicating
                                                              ¼ untranslated region.
         how much a interaction is “for better”, should be near 0.50. Fourth, the  a
                                                                                                        0
                                                                 SNPs are listed down the column in sequential order from the 5 end to the 3 0
         proportion affected (PA), which represents the proportion of the popu-  end of the sense strand of DRD2.
         lation that is differentially affected by the moderator, should be greater  b  Physical position is based on NCBI Genome Build 36.3.
         than 16% and near 50%. Finally, to avoid the nonlinear diathesis-stress
                             2
                       2
         phenomenon, the X or ZX term was tested, which should be not  Disner et al., 2014), we employed an additive model to assign the score
         significant.                                          for each variation, that is genotypes with zero, one and two copies of the
                                                              minor allele were coded as 0, 1 and 2, respectively. However, as the
         3. Results                                           number of participants with Del/Del genotype of rs1799732 (DRD2), AA
                                                              genotype of rs7122246 (DRD2), TT genotype of rs6277 (DRD2), GG ge-
         3.1. Preliminary analyses                            notype of rs5993882 (COMT), TT genotype of rs6267 (COMT), AA ge-
                                                              notype of rs769224 (COMT) was small, a dominant model was used to
           Table 1 shows means, standard deviations and cross-correlations of  code each of these corresponding genotype. That is, the genotype with at
         psychometric variables for the total sample.         least one minor allele was assigned 1, and 0 was assigned to those with
           Table 2 and Table 3 summarize the MAFs and the results of Hardy-  none.
         Weinberg equilibrium tests for DRD2 and COMT SNPs. All DRD2 15
         SNPs were polymorphic with MAF>5% and no deviation from Hardy-  3.2. Regression analyses
         Weinberg equilibrium was observed. All COMT 12 SNPs were poly-
         morphic with MAF>5%, but the frequency distribution of rs4680 and  3.2.1. Single Polymorphsim
         rs174697 genotype differed slightly from Hardy-Weinberg equilibrium
                                                                 To determine whether DRD2 and COMT genetic variants interacted
         (p¼.048; p¼.021). Haploview was used to calculate linkage disequilib-
                                                              with parenting styles to predict creativity, we first conducted regression
         rium (LD) between SNPs. The LD patterns of the genotyped SNPs for
                                                              analysis using 9 SNPs of DRD2 and 9 SNPs of COMT as the candidate
         DRD2 and COMT were shown in Fig. 1 and Fig. 2 respectively.
                                                              markers, respectively. The 9 SNPs of DRD2 and 9 SNPs of COMT were
           Besides, the genotype distribution of each SNP was demonstrated in
                                                              selected from our genotyped SNPs (15 SNPs of DRD2 and 12 SNPs of
         supplementary materials (see Supplementary Table 1 and Table 2). Ac-  COMT) which included both the common alleles and the functional al-
         cording to previous research (Masarik et al., 2014; Pearson et al., 2014;
                                                              leles. According to analysis results of linkage disequilibrium (LD), several
         Table 1
         Ms, SDs and cross-correlations of psychometric variables for the total sample.
                           1       2       3        4       5       6        7       8       9       10      11
          1.Gender
          2.Intelligence   .00
          3.F-authoritativeness  .01  .02
          4.F-authoritarianism  .16**  -.07  -.33**
          5.F-permissiveness  -.11*  -.06  .41**    -.39**
          6.M-authoritativeness  .03  .02  .49**    -.16**  .21**
          7.M-authoritarianism  .05  -.05  -.13**   .41**   -.10*   -.37**
          8.M-permissiveness  -.08  -.08   .23**    -.17**  .48**   .48**    -.45**
          9.Fluency        -.24**  .10*    .06      -.11*   .10*    .08      -.05    .06
          10.Originality   -.17**  .05     .03      -.09    .09     .07      -.03    .02     .93**
          11.Flexibility   -.20**  .15**   .06      -.11*   .08     .04      -.03    .03     .81**   .74**
          M                —       20.56   21.06    13.05   9.92    20.89    12.14   9.82    10.24   4.97    5.13
          SD               —       3.97    5.53     6.99    2.92    5.13     6.05    2.88    4.24    3.09    1.26
         Note.*p<.05, **p<.01; male ¼ 1, female ¼ 0; F-authoritativeness ¼ father authoritativeness, F-authoritarianism ¼ father authoritarianism, F-permissiveness ¼ father
         permissiveness, M-authoritativeness ¼ mother authoritativeness, M-authoritarianism ¼ mother authoritarianism, M-permissiveness ¼ mother permissiveness. M ¼
         mean, SD ¼ standard deviation.
                                                            4
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