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Item does not contain fulltext, Certain 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.

Item does not contain fulltext, Certain 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.

Schizophrenia occurs in about one in four individuals with 22q11.2 deletion syndrome (22q11.2DS). The aim of this International Brain and Behavior 22q11.2DS Consortium (IBBC) study was to identify genetic factors that contribute to schizophrenia, in addition to the ~20-fold increased risk conveyed by the 22q11.2 deletion. Using whole-genome sequencing data from 519 unrelated individuals with 22q11.2DS, we conducted genome-wide comparisons of common and rare variants between those with schizophrenia and those with no psychotic disorder at age ≥25 years. Available microarray data enabled direct comparison of polygenic risk for schizophrenia between 22q11.2DS and independent population samples with no 22q11.2 deletion, with and without schizophrenia (total n = 35,182). Polygenic risk for schizophrenia within 22q11.2DS was significantly greater for those with schizophrenia (padj = 6.73 × 10−6). Novel reciprocal case–control comparisons between the 22q11.2DS and population-based cohorts showed that polygenic risk score was significantly greater in individuals with psychotic illness, regardless of the presence of the 22q11.2 deletion. Within the 22q11.2DS cohort, results of gene-set analyses showed some support for rare variants affecting synaptic genes. No common or rare variants within the 22q11.2 deletion region were significantly associated with schizophrenia. These findings suggest that in addition to the deletion conferring a greatly increased risk to schizophrenia, the risk is higher when the 22q11.2 deletion and common polygenic risk factors that contribute to schizophrenia in the general population are both present.

The 22q11.2 deletion syndrome (22q11DS) is associated with a 20–25% risk of schizophrenia. In a cohort of 962 individuals with 22q11DS, we examined the shared genetic basis between schizophrenia and schizophrenia-related early trajectory phenotypes: sub-threshold symptoms of psychosis, low baseline intellectual functioning and cognitive decline. We studied the association of these phenotypes with two polygenic scores, derived for schizophrenia and intelligence, and evaluated their use for individual risk prediction in 22q11DS. Polygenic scores were not only associated with schizophrenia and baseline intelligence quotient (IQ), respectively, but schizophrenia polygenic score was also significantly associated with cognitive (verbal IQ) decline and nominally associated with sub-threshold psychosis. Furthermore, in comparing the tail-end deciles of the schizophrenia and IQ polygenic score distributions, 33% versus 9% of individuals with 22q11DS had schizophrenia, and 63% versus 24% of individuals had intellectual disability. Collectively, these data show a shared genetic basis for schizophrenia and schizophrenia-related phenotypes and also highlight the future potential of polygenic scores for risk stratification among individuals with highly, but incompletely, penetrant genetic variants.

Climate change is expected to increase the frequency and severity of extreme weather events in Toronto, which in turn can pose a significant risk to food processing, distribution and access. The City of Toronto has committed to building the city’s resiliency to climate change and, as part of its Climate Change and Health Strategy, in 2017 Toronto Public Health began engaging stakeholders from across the food system to assess the impact of climate change on the food system in Toronto, including potential impacts on vulnerable populations. The findings of this high-level analysis will help increase the resiliency of Toronto’s food system to ensure adequate and equitable access to food.

Importance: Patients with 22q11.2 deletion syndrome (22q11DS) have an elevated (25%) risk of developing schizophrenia. Recent reports have suggested that a subgroup of children with 22q11DS display a substantial decline in cognitive abilities starting at a young age.Objective: To determine whether early cognitive decline is associated with risk of psychotic disorder in 22q11DS.Design, Setting, And Participants: Prospective longitudinal cohort study. As part of an international research consortium initiative, we used the largest data set of intelligence (IQ) measurements in patients with 22q11DS reported to date to investigate longitudinal IQ trajectories and the risk of subsequent psychotic illness. A total of 829 patients with a confirmed hemizygous 22q11.2 deletion, recruited through 12 international clinical research sites, were included. Both psychiatric assessments and longitudinal IQ measurements were available for a subset of 411 patients (388 with≥1 assessment at age 8-24 years).Main Outcomes And Measures: Diagnosis of a psychotic disorder, initial IQ, longitudinal IQ trajectory, and timing of the last psychiatric assessment with respect to the last IQ test.Results: Among 411 patients with 22q11DS, 55 (13.4%) were diagnosed as having a psychotic disorder. The mean (SD) age at the most recent psychiatric assessment was 16.1 (6.2) years. The mean (SD) full-scale IQ at first cognitive assessment was lower in patients who developed a psychotic disorder (65.5 [12.0]) compared with those without a psychotic disorder (74.0 [14.0]). On average, children with 22q11DS showed a mild decline in IQ (full-scale IQ, 7.04 points) with increasing age, particularly in the domain of verbal IQ (9.02 points). In those who developed psychotic illness, this decline was significantly steeper (P < .001). Those with a negative deviation from the average cognitive trajectory observed in 22q11DS were at significantly increased risk for the development of a psychotic disorder (odds r

This work addresses the fundamental problem of the trade-off between resource efficiency and user fairness in wireless networks that use opportunistic radio resource allocation. The concept of managing the trade-off by controlling the system fairness index is applied. In order to do that, two adaptive utility-based resource allocation frameworks consisting of subcarrier assignment and power allocation algorithms are proposed. These frameworks are named utility-based alpha-rule and beta-rule, and are suitable for non-real-time and real-time services, respectively. Not only can both frameworks be designed to work as wellknown classic policies found in the literature, but also as adaptive policies, which are able to meet a desired system fairness target. System level simulations show that the proposed frameworks are powerful tools to the network operator, since they can decide in which trade-off point of the efficiency-fairness plane they want to operate the system., Peer Reviewed, Postprint (published version)

System spectral efficiency and user fairness are crucial aspects for resource allocation in multi-user OFDM-based cellular networks. This work intends to investigate the influence of the performance of packet scheduling algorithms on the trade-off between these two objectives in scenarios with non real-time and real-time services. By means of system-level simulations, we were able to create a didactic map of the relation between these two aspects and propose ways to exploit this trade-off efficiently., Postprint (published version)

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Item does not contain fulltext, Reciprocal translocations involving the MLL gene on chromosome band 11q23 have been observed in both acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL). In AML, identification of MLL breakpoints is an important prognostic factor. Breakpoints are clustered in an 8 kb DNA fragment (bcr) and can be detected by Southern blotting or fluorescence in situ hybridization (FISH) analysis. Our objective in this study was to design a DNA probe set that enables optimal detection of MLL rearrangements using interphase FISH. Two PAC clones, 217A21 and 167K13, spanning the MLL gene with a minimal overlap in the bcr were isolated and labeled. Twenty-seven AML/ALL patients with cytogenetic 11q23 abnormalities, seven AML/ALL patients without 11q23 abnormalities but MLL rearrangement by Southern blotting, and eight healthy donors were analyzed by FISH. We compared this double-color FISH analysis with FISH using a YAC clone (yB22B2) and with Southern blotting. The PAC probe combination detects an MLL breakpoint in all cases with MLL rearrangement detected by Southern blotting except for cases with a partial tandem duplication detected by reverse transcriptase-polymerase chain reaction (RT-PCR). FISH using the PAC probes also detected MLL breakpoints in four cases with MLL deletions telomeric to the breakpoint that could not be detected by the single probe yB22B2. This new probe set provides a reliable and rapid assay for the diagnosis of AML and ALL patients with MLL/11q23 breakpoints.

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Item does not contain fulltext, Reciprocal translocations involving the MLL gene on chromosome band 11q23 have been observed in both acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL). In AML, identification of MLL breakpoints is an important prognostic factor. Breakpoints are clustered in an 8 kb DNA fragment (bcr) and can be detected by Southern blotting or fluorescence in situ hybridization (FISH) analysis. Our objective in this study was to design a DNA probe set that enables optimal detection of MLL rearrangements using interphase FISH. Two PAC clones, 217A21 and 167K13, spanning the MLL gene with a minimal overlap in the bcr were isolated and labeled. Twenty-seven AML/ALL patients with cytogenetic 11q23 abnormalities, seven AML/ALL patients without 11q23 abnormalities but MLL rearrangement by Southern blotting, and eight healthy donors were analyzed by FISH. We compared this double-color FISH analysis with FISH using a YAC clone (yB22B2) and with Southern blotting. The PAC probe combination detects an MLL breakpoint in all cases with MLL rearrangement detected by Southern blotting except for cases with a partial tandem duplication detected by reverse transcriptase-polymerase chain reaction (RT-PCR). FISH using the PAC probes also detected MLL breakpoints in four cases with MLL deletions telomeric to the breakpoint that could not be detected by the single probe yB22B2. This new probe set provides a reliable and rapid assay for the diagnosis of AML and ALL patients with MLL/11q23 breakpoints.

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[2], 25, [1] p., Advertisement on p. [1] at end., Reproduction of original in Union Theological Seminary Library, New York., (marc) 13716394, (stc) Arber's Term cat. III, 52., http://quod.lib.umich.edu/t/text/accesspolicy.html

[2], 25, [1] p., Advertisement on p. [1] at end., Reproduction of original in Union Theological Seminary Library, New York., (marc) 13716394, (stc) Arber's Term cat. III, 52., http://quod.lib.umich.edu/t/text/accesspolicy.html

Tissue plasminogen activator is one of the two plasminogen activators, both serine proteases, that catalyze the conversion of inactive plasminogen to plasmin, which then degrades the fibrin network of blood clots. By combining somatic cell genetics, in situ hybridization, and Southern blot hybridization, we localized the human tissue plasminogen activator gene to the pericentromeric region of chromosome 8.