Browsing by Author "Van den Bree, Marianne"
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Item A normative chart for cognitive development in a genetically selected population(2021) Fiksinski, Ania; Bearden, Carrie; Bassett, Anne; Kahn, René; Zinkstok, Janneke; Hooper, Stephen R; Tempelaar, Wanda; McDonald, Donna; Swillen, Ann; Emanuel, Beverly; Morrow, Bernice; Gur, Raquel; Chow, Eva; Van den Bree, Marianne; Vermeesch, Joris; Warren, Stephen; Owen, Michael; Van Amelsvoort, Therese; Eliez, Stephan; Gothelf, Doron; Arango, Celso; Kates, Wendy; Simon, Tony; Murphy, Kieran; Repetto, Gabriela; Heine, Damian; Vicari, Stefano; Cubells, Joseph; Armando, Marco; Philip, Nicole; Campbell, Linda; García, Sixto; Schneider, Maude; Shashi, Vandana; 22q11DS International Consortium on Brain and Behavior; Vorstman, Jacob; Breetvelt, ElemiCertain pathogenic genetic variants impact neurodevelopment and cause deviations from typical cognitive trajectories. Understanding variant-specific cognitive trajectories is clinically important for informed monitoring and identifying patients at risk for comorbid conditions. Here, we demonstrate a variant-specific normative chart for cognitive development for individuals with 22q11.2 deletion syndrome (22q11DS). We used IQ data from 1365 individuals with 22q11DS to construct variant-specific normative charts for cognitive development (Full Scale, Verbal, and Performance IQ). This allowed us to calculate Z-scores for each IQ datapoint. Then, we calculated the change between first and last available IQ assessments (delta Z-IQ-scores) for each individual with longitudinal IQ data (n = 708). We subsequently investigated whether using the variant-specific IQ-Z-scores would decrease required sample size to detect an effect with schizophrenia risk, as compared to standard IQ-scores. The mean Z-IQ-scores for FSIQ, VIQ, and PIQ were close to 0, indicating that participants had IQ-scores as predicted by the normative chart. The mean delta-Z-IQ-scores were equally close to 0, demonstrating a good fit of the normative chart and indicating that, as a group, individuals with 22q11DS show a decline in IQ-scores as they grow into adulthood. Using variant-specific IQ-Z-scores resulted in 30% decrease of required sample size, as compared to the standard IQ-based approach, to detect the association between IQ-decline and schizophrenia (p < 0.01). Our findings suggest that using variant-specific normative IQ data significantly reduces required sample size in a research context, and may facilitate a more clinically informative interpretation of IQ data. This approach allows identification of individuals that deviate from their expected, variant-specific, trajectory. This group may be at increased risk for comorbid conditions, such as schizophrenia in the case of 22q11DS.Publication Chromatin regulators in the TBX1 network confer risk for conotruncal heart defects in 22q11.2DS(2023) Repetto, Gabriela; Zhao, Yingjie; Wang, Yujue; Shi, Lijie; McDonald, Donna; Crowley, Blaine; McGinn, Daniel; Tran, Oanh; Miller, Daniella; Lin, Jhih-Rong; Zacka, Elaine; Johnston, Richard; Chow, Eva; Vorstman, Jacob; Vingerhoets, Claudia; Van Amelsvoort, Therese; Gothelf, Doron; Swillen, Ann; Breckpot, Jeroen; Vermeesch, Joris; Eliez, Stephan; Schneider, Maude; Van den Bree, Marianne; Owen, Michael; Kates, Wendy; Shashi, Vandana; Schoch, Kelly; Bearden, Carrie; Digili, M. Cristina; Unolt, Marta; Putotto, Carolina; Marino, Bruno; Pontillo, Maria; Armando, Marco; Vicar, Stefano; Angkustsiri, Kathleen; Campbell, Linda; Busa, Tiffany; Heine, Damian; Murphy, Kieran; Murphy, DeclanCongenital heart disease (CHD) affecting the conotruncal region of the heart, occurs in 40-50% of patients with 22q11.2 deletion syndrome (22q11.2DS). This syndrome is a rare disorder with relative genetic homogeneity that can facilitate identification of genetic modifiers. Haploinsufficiency of TBX1, encoding a T-box transcription factor, is one of the main genes responsible for the etiology of the syndrome. We suggest that genetic modifiers of conotruncal defects in patients with 22q11.2DS may be in the TBX1 gene network. To identify genetic modifiers, we analyzed rare, predicted damaging variants in whole genome sequence of 456 cases with conotruncal defects and 537 controls, with 22q11.2DS. We then performed gene set approaches and identified chromatin regulatory genes as modifiers. Chromatin genes with recurrent damaging variants include EP400, KAT6A, KMT2C, KMT2D, NSD1, CHD7 and PHF21A. In total, we identified 37 chromatin regulatory genes, that may increase risk for conotruncal heart defects in 8.5% of 22q11.2DS cases. Many of these genes were identified as risk factors for sporadic CHD in the general population. These genes are co-expressed in cardiac progenitor cells with TBX1, suggesting that they may be in the same genetic network. The genes KAT6A, KMT2C, CHD7 and EZH2, have been previously shown to genetically interact with TBX1 in mouse models. Our findings indicate that disturbance of chromatin regulatory genes impact the TBX1 gene network serving as genetic modifiers of 22q11.2DS and sporadic CHD, suggesting that there are some shared mechanisms involving the TBX1 gene network in the etiology of CHDItem Rare Genome-Wide Copy Number Variation and Expression of Schizophrenia in 22q11.2 Deletion Syndrome(American Psychiatric Association, 2017) Bassett, Anne; Lowther, Chelsea; Merico, Daniele; Costain, Gregory; Chow, Eva; van Amelsvoort, Therese; McDonald-McGinn, Donna; Gur, Raquel; Swillen, Ann; Van den Bree, Marianne; Murphy, Kieran; Gothelf, Doron; Bearden, Carrie; Eliez, Stephan; Kates, Wendy; Philip, Nicole; Sashi, Vandana; Campbell, Linda; Vorstman, Jacob; Cubells, Joseph; Repetto, Gabriela; Simon, Tony; Boot, Erik; Heung, Tracy; Evers, Rens; Vingerhoets, Claudia; van Duin, Esther; Zackai, Elaine; Vergaelen, Elfi; Devriendt, Koen; Vermeesch, Joris; Owen, Michael; Murphy, Clodagh; Michaelovosky, Elena; Kushan, Leila; Schneider, Maude; Fremont, Wanda; Busa, Tiffany; Hooper, Stephen; McCabe, Kathryn; Duijff, Sasja; Isaev, Karin; Pellecchia, Giovanna; Wei, John; Gazzellone, Matthew; Scherer, Stephen; Emanuel, Beverly; Guo, Tingwei; Morrow, Bernice; Marshall, Christian; International 22q11.2DS Brain and Behavior ConsortiumOBJECTIVE: Chromosome 22q11.2 deletion syndrome (22q11.2DS) is associated with a more than 20-fold increased risk for developing schizophrenia. The aim of this study was to identify additional genetic factors (i.e., "second hits") that may contribute to schizophrenia expression. METHOD: Through an international consortium, the authors obtained DNA samples from 329 psychiatrically phenotyped subjects with 22q11.2DS. Using a high-resolution microarray platform and established methods to assess copy number variation (CNV), the authors compared the genome-wide burden of rare autosomal CNV, outside of the 22q11.2 deletion region, between two groups: a schizophrenia group and those with no psychotic disorder at age ≥25 years. The authors assessed whether genes overlapped by rare CNVs were overrepresented in functional pathways relevant to schizophrenia. RESULTS: Rare CNVs overlapping one or more protein-coding genes revealed significant between-group differences. For rare exonic duplications, six of 19 gene sets tested were enriched in the schizophrenia group; genes associated with abnormal nervous system phenotypes remained significant in a stepwise logistic regression model and showed significant interactions with 22q11.2 deletion region genes in a connectivity analysis. For rare exonic deletions, the schizophrenia group had, on average, more genes overlapped. The additional rare CNVs implicated known (e.g., GRM7, 15q13.3, 16p12.2) and novel schizophrenia risk genes and loci. CONCLUSIONS: The results suggest that additional rare CNVs overlapping genes outside of the 22q11.2 deletion region contribute to schizophrenia risk in 22q11.2DS, supporting a multigenic hypothesis for schizophrenia. The findings have implications for understanding expression of psychotic illness and herald the importance of whole-genome sequencing to appreciate the overall genomic architecture of schizophrenia.