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Institution

University of Colorado Denver

EducationDenver, Colorado, United States
About: University of Colorado Denver is a education organization based out in Denver, Colorado, United States. It is known for research contribution in the topics: Population & Health care. The organization has 27444 authors who have published 57213 publications receiving 2539937 citations. The organization is also known as: CU Denver & UCD.


Papers
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Journal ArticleDOI
TL;DR: Specific detailed recommendations for each level have been established in this document, which are intended to improve the rate of early suspicion and diagnosis of, and therefore early intervention for, autism.
Abstract: The Child Neurology Society and American Academy of Neurology recently proposed to formulate Practice Parameters for the Diagnosis and Evaluation of Autism for their memberships. This endeavor was expanded to include representatives from nine professional organizations and four parent organizations, with liaisons from the National Institutes of Health. This document was written by this multidisciplinary Consensus Panel after systematic analysis of over 2,500 relevant scientific articles in the literature. The Panel concluded that appropriate diagnosis of autism requires a dual-level approach: (a) routine developmental surveillance, and (b) diagnosis and evaluation of autism. Specific detailed recommendations for each level have been established in this document, which are intended to improve the rate of early suspicion and diagnosis of, and therefore early intervention for, autism.

950 citations

Journal ArticleDOI
01 Oct 2015-Nature
TL;DR: In extensively phenotyped cohorts, insights from sequencing whole genomes or exomes of nearly 10,000 individuals from population-based and disease collections are described and population structure and functional annotation of rare and low-frequency variants are described.
Abstract: The contribution of rare and low-frequency variants to human traits is largely unexplored. Here we describe insights from sequencing whole genomes (low read depth, 7×) or exomes (high read depth, 80×) of nearly 10,000 individuals from population-based and disease collections. In extensively phenotyped cohorts we characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with levels of triglycerides (APOB), adiponectin (ADIPOQ) and low-density lipoprotein cholesterol (LDLR and RGAG1) from single-marker and rare variant aggregation tests. We describe population structure and functional annotation of rare and low-frequency variants, use the data to estimate the benefits of sequencing for association studies, and summarize lessons from disease-specific collections. Finally, we make available an extensive resource, including individual-level genetic and phenotypic data and web-based tools to facilitate the exploration of association results.

948 citations

Journal ArticleDOI
TL;DR: The evidence to date shows that 5 of 6 criteria for identifying mediators of tissue damage in human autoimmune diseases are satisfied and the last criterion, prevention of clinical progression in patients with RA, is currently being evaluated.
Abstract: This review has summarized information published over the last 5 years on the presence and pathophysiologic role of IL-1 and TNF alpha in RA. The evidence to date shows that 5 of 6 criteria for identifying mediators of tissue damage in human autoimmune diseases are satisfied (Table 1). The last criterion, prevention of clinical progression in patients with RA, is currently being evaluated. Many new therapeutic approaches are currently being developed, including the use of soluble receptors to IL-1 or TNF, monoclonal antibodies to TNF alpha, a specific IL-1 receptor antagonist, and gene therapy with the latter molecule. It should be emphasized that both IL-1 and TNF alpha play important roles in normal host defense; the possible complications of blocking their production or effects need to be carefully evaluated in long-term studies. A recent review has emphasized that although IL-1 and TNF alpha have many overlapping biologic properties, each may exhibit distinct effects in joint disease (99). Anti-TNF treatment may be primarily antiinflammatory but blocking IL-1 may be more effective in preventing cartilage destruction (100). The possibility exists that simultaneous inhibition of TNF alpha and IL-1 may be more therapeutically efficacious than blockade of either agent alone, as was recently demonstrated with IL-1ra and soluble TNF receptors in bacterial cell wall-induced arthritis in rats (101). The next level of clinical studies in rheumatoid arthritis should include the use of two biologic response modifiers together, or one agent combined with a more traditional form of therapy.

946 citations

Journal ArticleDOI
TL;DR: The findings point to multiple loci with moderate effects associated with susceptibility to prostate cancer that, taken together, in the future may predict high risk in select individuals.
Abstract: We followed our initial genome-wide association study (GWAS) of 527,869 SNPs on 1,172 individuals with prostate cancer and 1,157 controls of European origin-nested in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial prospective study-by testing 26,958 SNPs in four independent studies (total of 3,941 cases and 3,964 controls). In the combined joint analysis, we confirmed three previously reported loci (two independent SNPs at 8q24 and one in HNF1B (formerly known as TCF2 on 17q); P < 10(-10)). In addition, loci on chromosomes 7, 10 (two loci) and 11 were highly significant (between P < 7.31 x 10(-13) and P < 2.14 x 10(-6)). Loci on chromosome 10 include MSMB, which encodes beta-microseminoprotein, a primary constituent of semen and a proposed prostate cancer biomarker, and CTBP2, a gene with antiapoptotic activity; the locus on chromosome 7 is at JAZF1, a transcriptional repressor that is fused by chromosome translocation to SUZ12 in endometrial cancer. Of the nine loci that showed highly suggestive associations (P < 2.5 x 10(-5)), four best fit a recessive model and included candidate susceptibility genes: CPNE3, IL16 and CDH13. Our findings point to multiple loci with moderate effects associated with susceptibility to prostate cancer that, taken together, in the future may predict high risk in select individuals.

946 citations


Authors

Showing all 27683 results

NameH-indexPapersCitations
Matthew Meyerson194553243726
Charles A. Dinarello1901058139668
Gad Getz189520247560
Gordon B. Mills1871273186451
Jasvinder A. Singh1762382223370
David Haussler172488224960
Donald G. Truhlar1651518157965
Charles M. Perou156573202951
David Cella1561258106402
Bruce D. Walker15577986020
Marco A. Marra153620184684
Thomas E. Starzl150162591704
Marc Humbert1491184100577
Rajesh Kumar1494439140830
Martin J. Blaser147820104104
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202383
2022358
20213,831
20203,913
20193,632