- Vorstman, Jacob AS;
- Olde Loohuis, Loes M;
- Kahn, René S;
- Ophoff, Roel A;
- Alizadeh, Behrooz Z;
- Bartels-Velthuis, Agna A;
- van Beveren, Nico J;
- Bruggeman, Richard;
- Cahn, Wiepke;
- de Haan, Lieuwe;
- Delespaul, Philippe;
- Meijer, Carin J;
- Myin-Germeys, Inez;
- Schirmbeck, Frederike;
- Simons, Claudia JP;
- van Haren, Neeltje E;
- van Os, Jim;
- van Winkel, Ruud;
- van Baaren, Joyce;
- Veermans, Erwin;
- Driessen, Ger;
- Driesen, Truda;
- Pos, Karin;
- van ’t Hag, Erna;
- de Nijs, Jessica;
- Islam, Atiqul;
- Beuken, Wendy;
- Op ’t Eijnde, Debora
The co-occurrence of a copy number variant (CNV) and a functional variant on the other allele may be a relevant genetic mechanism in schizophrenia. We hypothesized that the cumulative burden of such double hits-in particular those composed of a deletion and a coding single-nucleotide variation (SNV)-is increased in patients with schizophrenia. We combined CNV data with coding variants data in 795 patients with schizophrenia and 474 controls. To limit false CNV-detection, only CNVs called by two algorithms were included. CNV-affected genes were subsequently examined for coding SNVs, which we termed "CNV-SNVs." Correcting for total queried sequence, we assessed the CNV-SNV-burden and the combined predicted deleterious effect. We estimated P-values by permutation of the phenotype. We detected 105 CNV-SNVs; 67 in duplicated and 38 in deleted genic sequence. Although the difference in CNV-SNVs rates was not significant, the combined deleteriousness inferred by CNV-SNVs in deleted sequence was almost 4-fold higher in cases compared with controls (nominal P = 0.009). This effect may be driven by a higher number of CNV-SNVs and/or by a higher degree of predicted deleteriousness of CNV-SNVs. No such effect was observed for duplications. We provide early evidence that deletions co-occurring with a functional variant may be relevant, albeit of modest impact, for the genetic etiology of schizophrenia. Large-scale consortium studies are required to validate our findings. Sequence-based analyses would provide the best resolution for detection of CNVs as well as coding variants genome-wide.