Institution
University of Texas Health Science Center at Houston
Education•Houston, Texas, United States•
About: University of Texas Health Science Center at Houston is a education organization based out in Houston, Texas, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 27309 authors who have published 42520 publications receiving 2151596 citations. The organization is also known as: UTHealth & The UT Health Science Center at Houston.
Topics: Population, Cancer, Poison control, Medicine, Health care
Papers published on a yearly basis
Papers
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TL;DR: Rich functional annotations for SNVs and genes have been added into the new version, including allele frequencies observed in the 1000 Genomes Project phase 1 data and the NHLBI Exome Sequencing Project, various gene IDs from different databases, functional descriptions of genes, gene expression and gene interaction information, among others.
Abstract: dbNSFP is a database developed for functional prediction and annotation of all potential non-synonymous single-nucleotide variants (nsSNVs) in the human genome. This database significantly facilitates the process of querying predictions and annotations from different databases/web-servers for large amounts of nsSNVs discovered in exome-sequencing studies. Here we report a recent major update of the database to version 2.0. We have rebuilt the SNV collection based on GENCODE 9 and currently the database includes 87,347,043 nsSNVs and 2,270,742 essential splice site SNVs (an 18% increase compared to dbNSFP v1.0). For each nsSNV dbNSFP v2.0 has added two prediction scores (MutationAssessor and FATHMM) and two conservation scores (GERP++ and SiPhy). The original five prediction and conservation scores in v1.0 (SIFT, Polyphen2, LRT, MutationTaster and PhyloP) have been updated. Rich functional annotations for SNVs and genes have also been added into the new version, including allele frequencies observed in the 1000 Genomes Project phase 1 data and the NHLBI Exome Sequencing Project, various gene IDs from different databases, functional descriptions of genes, gene expression and gene interaction information, among others. dbNSFP v2.0 is freely available for download at http://sites.google.com/site/jpopgen/dbNSFP.
611 citations
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Icahn School of Medicine at Mount Sinai1, University of Connecticut2, Baylor University Medical Center3, Northwestern University4, Autonomous University of Barcelona5, University of Colorado Denver6, Medical University of Vienna7, Harvard University8, University of Paris9, Kaiser Permanente10, Dalhousie University11, Paul Sabatier University12, Centre Hospitalier Universitaire de Nice13, University of Texas Health Science Center at Houston14, University of Rome Tor Vergata15, University of Utah16, University of California, San Francisco17, Amgen18
TL;DR: Bdalumab treatment resulted in significant clinical improvements in patients with moderate-to-severe psoriasis, and was found to be superior to placebo at week 12 with respect to a 100% reduction in PASI score (PASI 100).
Abstract: BackgroundEarly clinical studies suggested that the anti–interleukin-17 receptor A monoclonal antibody brodalumab has efficacy in the treatment of psoriasis. MethodsIn two phase 3 studies (AMAGINE-2 and AMAGINE-3), patients with moderate-to-severe psoriasis were randomly assigned to receive brodalumab (210 mg or 140 mg every 2 weeks), ustekinumab (45 mg for patients with a body weight ≤100 kg and 90 mg for patients >100 kg), or placebo. At week 12, patients receiving brodalumab were randomly assigned again to receive a brodalumab maintenance dose of 210 mg every 2 weeks or 140 mg every 2 weeks, every 4 weeks, or every 8 weeks; patients receiving ustekinumab continued to receive ustekinumab every 12 weeks, and patients receiving placebo received 210 mg of brodalumab every 2 weeks. The primary aims were to evaluate the superiority of brodalumab over placebo at week 12 with respect to at least a 75% reduction in the psoriasis area-and-severity index score (PASI 75) and a static physician’s global assessment ...
609 citations
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TL;DR: Normal systolic function is common among patients with CHF, and diastolic dysfunction, consistent with a noncompliant left ventricle, was found in both CHF groups.
Abstract: Although there have been isolated reports of congestive heart failure (CHF) with normal systolic function, the prevalence and characteristics of this condition have not previously been described. Accordingly, 188 patients with CHF undergoing radionuclide ventriculography were prospectively evaluated. Sixty-seven (36%) had a normal ejection fraction (EF) of 0.45 or greater, and 121, an abnormal EF of less than 0.45. Of these, 72 (55 with an abnormal EF [group I] and 17 with a normal EF [group II]) were also reviewed for clinical characteristics. There was no demographic difference between groups, except that systemic hypertension appeared to be a contributing factor in 65% of the patients in group II, compared with 23% of the patients in group I (p
608 citations
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University of Southern California1, University of Washington2, Harvard University3, University of Michigan4, Max Planck Society5, University of Groningen6, University of Maryland, Baltimore7, Icahn School of Medicine at Mount Sinai8, Xi'an Jiaotong University9, University of Texas MD Anderson Cancer Center10, University of North Carolina at Charlotte11, Broad Institute12, European Bioinformatics Institute13, Yale University14, University of California, Davis15, University of Utah16, Pacific Biosciences17, University of California, San Diego18, Illumina19, Ludwig Institute for Cancer Research20, Ewha Womans University21, Drexel University22, University of Texas Health Science Center at Houston23, Washington University in St. Louis24, University of Malaya25, University of California, San Francisco26, University of British Columbia27, BC Cancer Agency28
TL;DR: A suite of long-read, short- read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms are applied to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner.
Abstract: The incomplete identification of structural variants (SVs) from whole-genome sequencing data limits studies of human genetic diversity and disease association. Here, we apply a suite of long-read, short-read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner. We identify 818,054 indel variants (<50 bp) and 27,622 SVs (≥50 bp) per genome. We also discover 156 inversions per genome and 58 of the inversions intersect with the critical regions of recurrent microdeletion and microduplication syndromes. Taken together, our SV callsets represent a three to sevenfold increase in SV detection compared to most standard high-throughput sequencing studies, including those from the 1000 Genomes Project. The methods and the dataset presented serve as a gold standard for the scientific community allowing us to make recommendations for maximizing structural variation sensitivity for future genome sequencing studies.
606 citations
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TL;DR: A review of epidemiological literature in PubMed from January 2004 to December 2013 illustrated the need for a greater attention to identifying and minimizing the effect of multicollinearity in analysis of data from epidemiologic studies.
Abstract: The adverse impact of ignoring multicollinearity on findings and data interpretation in regression analysis is very well documented in the statistical literature. The failure to identify and report multicollinearity could result in misleading interpretations of the results. A review of epidemiological literature in PubMed from January 2004 to December 2013, illustrated the need for a greater attention to identifying and minimizing the effect of multicollinearity in analysis of data from epidemiologic studies. We used simulated datasets and real life data from the Cameron County Hispanic Cohort to demonstrate the adverse effects of multicollinearity in the regression analysis and encourage researchers to consider the diagnostic for multicollinearity as one of the steps in regression analysis.
605 citations
Authors
Showing all 27450 results
Name | H-index | Papers | Citations |
---|---|---|---|
Paul M. Ridker | 233 | 1242 | 245097 |
Eugene Braunwald | 230 | 1711 | 264576 |
Eric N. Olson | 206 | 814 | 144586 |
Hagop M. Kantarjian | 204 | 3708 | 210208 |
André G. Uitterlinden | 199 | 1229 | 156747 |
Gordon B. Mills | 187 | 1273 | 186451 |
Eric Boerwinkle | 183 | 1321 | 170971 |
Bruce M. Psaty | 181 | 1205 | 138244 |
Aaron R. Folsom | 181 | 1118 | 134044 |
Daniel R. Weinberger | 177 | 879 | 128450 |
Bharat B. Aggarwal | 175 | 706 | 116213 |
Richard A. Gibbs | 172 | 889 | 249708 |
Russel J. Reiter | 169 | 1646 | 121010 |
James F. Sallis | 169 | 825 | 144836 |
Steven N. Blair | 165 | 879 | 132929 |