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Showing papers by "Evangelos Vassos published in 2014"


Journal ArticleDOI
TL;DR: Current evidence does not support the use of such genes to predict dangerousness or as markers for therapeutic interventions, and no association between any polymorphism analyzed and aggression is found.
Abstract: A large number of candidate gene studies for aggression and violence have been conducted. Successful identification of associations between genetic markers and aggression would contribute to understanding the neurobiology of antisocial behavior and potentially provide useful tools for risk prediction and therapeutic targets for high-risk groups of patients and offenders. We systematically reviewed the literature and assessed the evidence on genetic association studies of aggression and related outcomes in order to provide a field synopsis. We searched PubMed and Huge Navigator databases and sought additional data through reviewing reference lists and correspondence with investigators. Genetic association studies were included if outcome data on aggression or violent behavior either as a binary outcome or as a quantitative trait were provided. From 1331 potentially relevant investigations, 185 studies constituting 277 independent associations on 31 genes fulfilled the predetermined selection criteria. Data from variants investigated in three or more samples were combined in meta-analyses and potential sources of heterogeneity were investigated using subgroup analyses. In the primary analyses, which used relaxed inclusion criteria, we found no association between any polymorphism analyzed and aggression at the 5% level of significance. Subgroup analyses, including by severity of outcome, age group, characteristics of the sample and ethnicity, did not demonstrate any consistent findings. Current evidence does not support the use of such genes to predict dangerousness or as markers for therapeutic interventions.

186 citations


Journal ArticleDOI
Stacy Steinberg1, S de Jong2, Manuel Mattheisen3, Manuel Mattheisen4  +147 moreInstitutions (53)
TL;DR: Combined analysis reveals a novel variant at 16p11.2 showing genome-wide significant association with schizophrenia and is located within a 593-kb region that substantially increases risk of psychosis when duplicated.
Abstract: Epidemiological and genetic data support the notion that schizophrenia and bipolar disorder share genetic risk factors. In our previous genome-wide association study, meta-analysis and follow-up (totaling as many as 18 206 cases and 42 536 controls), we identified four loci showing genome-wide significant association with schizophrenia. Here we consider a mixed schizophrenia and bipolar disorder (psychosis) phenotype (addition of 7469 bipolar disorder cases, 1535 schizophrenia cases, 333 other psychosis cases, 808 unaffected family members and 46 160 controls). Combined analysis reveals a novel variant at 16p11.2 showing genome-wide significant association (rs4583255[T]; odds ratio=1.08; P=6.6 × 10(-11)). The new variant is located within a 593-kb region that substantially increases risk of psychosis when duplicated. In line with the association of the duplication with reduced body mass index (BMI), rs4583255[T] is also associated with lower BMI (P=0.0039 in the public GIANT consortium data set; P=0.00047 in 22 651 additional Icelanders).

98 citations


Journal ArticleDOI
TL;DR: The hypothesis that ohnologs are ancestral dosage-sensitive elements that may be responsible for some of the deleterious phenotypes observed for pathogenic CNVs is supported, and genes implicated in copy number pathogenicity are selected.
Abstract: A number of rare copy number variants (CNVs), including both deletions and duplications, have been associated with developmental disorders, including schizophrenia, autism, intellectual disability, and epilepsy. Pathogenicity may derive from dosage sensitivity of one or more genes contained within the CNV locus. To understand pathophysiology, the specific disease-causing gene(s) within each CNV need to be identified. In the present study, we test the hypothesis that ohnologs (genes retained after ancestral whole-genome duplication events, which are frequently dosage sensitive) are overrepresented in pathogenic CNVs. We selected three sets of genes implicated in copy number pathogenicity: (i) genes mapping within rare disease-associated CNVs, (ii) genes within de novo CNVs under negative genetic selection, and (iii) genes identified by clinical array comparative genome hybridization studies as potentially pathogenic. We compared the proportion of ohnologs between these gene sets and control genes, mapping to CNVs not known to be disease associated. We found that ohnologs are significantly overrepresented in genes mapping to pathogenic CNVs, irrespective of how CNVs were identified, with over 90% containing an ohnolog, compared with control CNVs >100 kb, where only about 30% contained an ohnolog. In some CNVs, such as del15p11.2 (CYFIP1) and dup/del16p13.11 (NDE1), the most plausible prior candidate gene was also an ohnolog, as were the genes VIPR2 and NRXN1, each found in short CNVs containing no other genes. Our results support the hypothesis that ohnologs represent critical dosage-sensitive elements of the genome, possibly responsible for some of the deleterious phenotypes observed for pathogenic CNVs and as such are readily identifiable candidate genes for further study.

48 citations


Journal ArticleDOI
TL;DR: Review of the analytical and clinical validity as well as of the clinical utility of DNA-based testing for microdeletions at the 15q13.3 locus in diagnostic and prenatal settings and for risk assessment in relatives is reviewed.
Abstract: Name of the disease (synonyms): 15q13.3 microdeletion syndrome/ Del(15)(q13.3)/ 15q13.3 monosomy syndrome. OMIM# of the disease: 612001. Name of the analysed genes or DNA/chromosome segments: 15q13.2q13.3, RefSeq NC_000015.9 (hg19 human reference sequence, February 2009, build 37). OMIM# of the gene(s): Putative candidate genes: CHRNA7, 118511; KLF13, 605328; TRPM1, 603576; FAN1, 613534. Other genes in the critical deleted region (BP4-BP5): MTMR10, not applicable; MIR211, 613753; OTUD7A, 612024. Review of the analytical and clinical validity as well as of the clinical utility of DNA-based testing for microdeletions at the 15q13.3 locus in diagnostic and prenatal settings and for risk assessment in relatives.

15 citations