8 research outputs found

    Silicon Compilation

    Get PDF
    Modern integrated circuits are among the most complex systems designed by man. Although we have seen a rapid increase in fabrication technology, traditional design methodologies have not evolved at a rate commensurate with the increasing design complexity potential. These circuit design methodologies fail when applied to Very Large Scale Integrated (VLSI) circuit design. This thesis proposes a new design methodology which manages the complexity VLSI design, allowing economical generation of correctly functioning circuits. Cost is one measurement of a design methodology's value. A good design methodology rapidly and efficiently translates high level system specifications into working parts. Traditional techniques partition the translation process into many steps: each design tool is focused upon one of these design steps. This partitioning precludes the consideration of global constraints, and introduces a literal explosion of data being transfered between design steps. The design process becomes error-prone and time consuming. The technique of silicon compilation presented in this thesis automatically translates from high level specifications into correct geometric descriptions. In this approach, the designer interacts at a high level of abstraction, and need not be concerned with lower levels of detail, facilitating exploration of alternate system architectures. Furthermore, since the implementation is algorithmically generated, chip descriptions can be made correct by construction. Finally, the user is given technology independence, because the high level specification need not require knowledge of fabrication details. This flexibility allows the user to take advantage of technology advances. This thesis explores various aspects of silicon compilation, and presents a prototype compiler, Bristle Blocks. The methodology is demonstrated through the design of several chips. The practicality of the methodology results from the concern for efficiency of the design process and of the chip designs produced by the system

    Potential genetic modifiers of disease risk and age at onset in patients with frontotemporal lobar degeneration and GRN mutations: a genome-wide association study

    No full text
    BACKGROUND: Loss-of-function mutations in GRN cause frontotemporal lobar degeneration (FTLD). Patients with GRN mutations present with a uniform subtype of TAR DNA-binding protein 43 (TDP-43) pathology at autopsy (FTLD-TDP type A); however, age at onset and clinical presentation are variable, even within families. We aimed to identify potential genetic modifiers of disease onset and disease risk in GRN mutation carriers. METHODS: The study was done in three stages: a discovery stage, a replication stage, and a meta-analysis of the discovery and replication data. In the discovery stage, genome-wide logistic and linear regression analyses were done to test the association of genetic variants with disease risk (case or control status) and age at onset in patients with a GRN mutation and controls free of neurodegenerative disorders. Suggestive loci (p<1 × 10-5) were genotyped in a replication cohort of patients and controls, followed by a meta-analysis. The effect of genome-wide significant variants at the GFRA2 locus on expression of GFRA2 was assessed using mRNA expression studies in cerebellar tissue samples from the Mayo Clinic brain bank. The effect of the GFRA2 locus on progranulin concentrations was studied using previously generated ELISA-based expression data. Co-immunoprecipitation experiments in HEK293T cells were done to test for a direct interaction between GFRA2 and progranulin. FINDINGS: Individuals were enrolled in the current study between Sept 16, 2014, and Oct 5, 2017. After quality control measures, statistical analyses in the discovery stage included 382 unrelated symptomatic GRN mutation carriers and 1146 controls free of neurodegenerative disorders collected from 34 research centres located in the USA, Canada, Australia, and Europe. In the replication stage, 210 patients (67 symptomatic GRN mutation carriers and 143 patients with FTLD without GRN mutations pathologically confirmed as FTLD-TDP type A) and 1798 controls free of neurodegenerative diseases were recruited from 26 sites, 20 of which overlapped with the discovery stage. No genome-wide significant association with age at onset was identified in the discovery or replication stages, or in the meta-analysis. However, in the case-control analysis, we replicated the previously reported TMEM106B association (rs1990622 meta-analysis odds ratio [OR] 0·54, 95% CI 0·46-0·63; p=3·54 × 10-16), and identified a novel genome-wide significant locus at GFRA2 on chromosome 8p21.3 associated with disease risk (rs36196656 meta-analysis OR 1·49, 95% CI 1·30-1·71; p=1·58 × 10-8). Expression analyses showed that the risk-associated allele at rs36196656 decreased GFRA2 mRNA concentrations in cerebellar tissue (p=0·04). No effect of rs36196656 on plasma and CSF progranulin concentrations was detected by ELISA; however, co-immunoprecipitation experiments in HEK293T cells did suggest a direct binding of progranulin and GFRA2. INTERPRETATION: TMEM106B-related and GFRA2-related pathways might be future targets for treatments for FTLD, but the biological interaction between progranulin and these potential disease modifiers requires further study. TMEM106B and GFRA2 might also provide opportunities to select and stratify patients for future clinical trials and, when more is known about their potential effects, to inform genetic counselling, especially for asymptomatic individuals. FUNDING: National Institute on Aging, National Institute of Neurological Disorders and Stroke, Canadian Institutes of Health Research, Italian Ministry of Health, UK National Institute for Health Research, National Health and Medical Research Council of Australia, and the French National Research Agency
    corecore