Table 4.
SSC unaffected | SSC affected | ||||||||
---|---|---|---|---|---|---|---|---|---|
effect | CNV number | CNV rate | CNV number | CNV rate | expected CNVs number | delta | p-value | AD | PC |
all | 53 | 0.028 | 75 | 0.040 | 52.9 | 22.1 | 0.027 | 1.18% (−0.03–2.34) | 29.5% (−0.7–50.9) |
coding | 31 | 0.017 | 41 | 0.022 | 30.9 | 10.1 | 0.12 | 0.54% (−0.28–1.42) | 24.6% (−16.4–53.7) |
intercoding intronic | 11 | 0.006 | 26 | 0.014 | 11.0 | 15.0 | 0.0068 | 0.80% (0.22–1.47) | 57.8% (20.7–82.3) |
peripheral | 4 | 0.002 | 5 | 0.003 | 4.0 | 1.0 | 0.34 | 0.05% (−0.27–0.37) | 20.2% (−304.9–100.0) |
The increased power for CNV detection through whole-genome sequencing allowed us to examine the role small CNVs that affect a single gene. We analyzed all de novo CNVs including the ones smaller than 4KB and focused on the 1,874 unaffected and the 1,869 affected children from SSC. We quantified the role of all single-gene de novo CNVs (labeled as ‘all’) in the effect columns and separately for the non-overlapping subsets labeled as ‘coding’, ‘intercoding intronic’ and ‘peripheral’ (see Fig. 2 for definition of these terms). The format of the table and the analysis was identical to what is described in the Table 2’s legend.