title: High-throughput sequencing of the synaptome in major depressive disorder.
abstract: Major depressive disorder (MDD) is among the leading causes of worldwide disability. Despite its significant heritability, large-scale genome-wide association studies (GWASs) of MDD have yet to identify robustly associated common variants. Although increased sample sizes are being amassed for the next wave of GWAS, few studies have as yet focused on rare genetic variants in the study of MDD. We sequenced the exons of 1742 synaptic genes previously identified by proteomic experiments. PLINK/SEQ was used to perform single variant, gene burden and gene set analyses. The GeneMANIA interaction database was used to identify protein-protein interaction-based networks. Cases were selected from a familial collection of early-onset, recurrent depression and were compared with screened controls. After extensive quality control, we analyzed 259 cases with familial, early-onset MDD and 334 controls. The distribution of association test statistics for the single variant and gene burden analyses were consistent with the null hypothesis. However, analysis of prioritized gene sets showed a significant association with damaging singleton variants in a Cav2-adaptor gene set (odds ratio=2.6; P=0.0008) that survived correction for all gene sets and annotation categories tested (empirical P=0.049). In addition, we also found statistically significant evidence for an enrichment of rare variants in a protein-based network of 14 genes involved in actin polymerization and dendritic spine formation (nominal P=0.0031). In conclusion, we have identified a statistically significant gene set and gene network of rare variants that are over-represented in MDD, providing initial evidence that calcium signaling and dendrite regulation may be involved in the etiology of depression.
authors.affiliation: Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.
authors.forename: M
authors.initials: M
authors.lastname: Pirooznia
authors.affiliation: McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA.
authors.forename: T
authors.initials: T
authors.lastname: Wang
authors.affiliation: Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.|McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA.
authors.forename: D
authors.initials: D
authors.lastname: Avramopoulos
authors.affiliation: Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
authors.forename: J B
authors.initials: JB
authors.lastname: Potash
authors.affiliation: Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.|Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
authors.forename: P P
authors.initials: PP
authors.lastname: Zandi
authors.affiliation: Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.
authors.forename: F S
authors.initials: FS
authors.lastname: Goes
mesh_terms: D003865:Major Depressive Disorder / Q000235:genetics*; D053263:Gene Regulatory Networks; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D009419:Nerve Tissue Proteins / Q000235:genetics*; D020543:Proteome / Q000235:genetics*; D040901:Proteomics / Q000379:methods; D013569:Synapses / Q000235:genetics*
chemical_list: D009419:Nerve Tissue Proteins; D020543:Proteome