2,497 publications from this institution
Current research designs that dissociate genetic and nongenetic measurements are reaching their limits.
Despite the large amounts of studies, and several statistically significant summary estimates produced by meta-analyses, the application of the Venice criteria suggests extensive heterogeneity and susceptibility to bias for the studies on association of common genetic polymorphisms, such as with GST variants and lung cancer.
Advances in IC fabrication technology, coupled with aggressive circuit design, have led to exponential growth of IC speed and integration levels. For these improvements to benefit overall system performance, the communication bandwidth between systems and ICs must scale accordingly. Currently, communication links in various applications approach Gbps data rates. These applications include computer-to-peripheral connections, local area networks, memory buses, and multiprocessor interconnection networks. Designers are concerned that these links will soon reach the fundamental limits of electrical signaling. In this article, we examine the limitations of CMOS implementations of highspeed links and show that the links' performance should continue to scale with technology. To handle the interconnects' finite bandwidth, however requires more sophisticated signaling methods. CMOS circuits, typically slower than circuits implemented in nonmainstream technologies, are particularly attractive for common applications because of their lower cost. The overall system cost is further reduced when signaling components are implemented as macro cells, integrated on the same die with a microprocessor or signal processing block.
A multi-tone architecture is proposed for high-speed backplane serial links. To limit complexity, the links use analog multi-tone rather than the more modern DMT. The tradeoffs involved in the design of such a system are examined and the performance of a serial link based on this approach is compared to a baseband architecture in terms of data rate and complexity using a convex optimization framework. Slightly less than 2/spl times/ improvement in data rate at reasonable complexity is shown to be achievable with the proposed architecture.
<p>PDF - 121KB, Exclusion Criteria for Scoring by Scientific Area and Translational Stage, Comparison of Translational Stage of CEC versus non-CEC associated cancer genetics papers, Acknowledgement of CEC contributions in associated papers. Table 1: Scientific areas, their definitions, and examples from the literature analysis. Table 2: Acknowledgment CEC contributions in 472 papers, associated with 4 established CEC, by acknowledgement type.</p>
The viral load in the plasma or serum has predictive value even if the time of seroconversion is unknown. The rate of change of viral load over time may also be an important predictive factor. Serial measurements of viral load over time may provide therapeutic guidance.
Published NMAs exhibit extensive overlap and potential redundancy. Erratic retrieval of eligible trials, and lack of consensus on the range of interventions to be considered and how they might be merged or split in different nodes, may cause confusion.
Abstract With the establishment of large biobanks, discovery of single nucleotide polymorphism (SNPs) that are associated with various phenotypes has been accelerated. An open question is whether SNPs identified with genome-wide significance in earlier genome-wide association studies (GWAS) are replicated also in later GWAS conducted in biobanks. To address this question, the authors examined a publicly available GWAS database and identified two, independent GWAS on the same phenotype (an earlier, “discovery” GWAS and a later, replication GWAS done in the UK biobank). The analysis evaluated 136,318,924 SNPs (of which 6,289 had reached p<5e-8 in the discovery GWAS) from 4,397,962 participants across nine phenotypes. The overall replication rate was 85.0% and it was lower for binary than for quantitative phenotypes (58.1% versus 94.8% respectively). There was a18.0% decrease in SNP effect size for binary phenotypes, but a 12.0% increase for quantitative phenotypes. Using the discovery SNP effect size, phenotype trait (binary or quantitative), and discovery p-value, we built and validated a model that predicted SNP replication with area under the Receiver Operator Curve = 0.90. While non-replication may often reflect lack of power rather than genuine false-positive findings, these results provide insights about which discovered associations are likely to be seen again across subsequent GWAS.
Making sense of rapidly evolving evidence on genetic associations is crucial to making genuine advances in human genomics and the eventual integration of this information in the practice of medicine and public health.Assessment of the strengths and weaknesses of this evidence, and hence the ability to synthesize it, has been limited by inadequate reporting of results.The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist.The additions concern population stratification, genotyping errors, modeling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies.The STREGA recommendations do not prescribe or dictate how a genetic association study should be designed but seek to enhance the transparency of its reporting, regardless of choices made during design, conduct, or analysis.
Abstract We evaluated 1038 of the most cited structural and functional (fMRI) magnetic resonance brain imaging papers (1161 studies) published during 1990-2012 and 273 papers (302 studies) published in top neuroimaging journals in 2017 and 2018. 96% of highly cited experimental fMRI studies had a single group of participants and these studies had median sample size of 12, highly cited clinical fMRI studies (with patient participants) had median sample size of 14.5, and clinical structural MRI studies had median sample size of 50. The sample size of highly cited experimental fMRI studies increased at a rate of 0.74 participant/year and this rate of increase was commensurate with the median sample sizes of neuroimaging studies published in top neuroimaging journals in 2017 (23 participants) and 2018 (24 participants). Only 4 of 131 papers in 2017 and 5 of 142 papers in 2018 had pre-study power calculations, most for single t-tests and correlations. Only 14% of highly cited papers reported the number of excluded participants whereas about 45% of papers in 2017 and 2018 reported excluded participants. Targeted interventions from publishers and funders could facilitate increase in sample sizes and adherence to better standards.
MIPS-X is a 32b microprocessor with an on-chip 16Kb instruction cache. The chip is implemented in a 2 micron drawn channel length, 2-layer metal CMOS technology, contains 150K transistors in an 8mm by 8.5mm die, and has 84 signal pins and 24 power pins. At a peak operating frequency of 20MHz the chip will dissipate less than 2W. (Author)