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Institution

University of Texas Health Science Center at Houston

EducationHouston, 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.


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Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
Mark Chaisson1, Mark Chaisson2, Ashley D. Sanders, Xuefang Zhao3, Xuefang Zhao4, Ankit Malhotra, David Porubsky5, David Porubsky6, Tobias Rausch, Eugene J. Gardner7, Oscar L. Rodriguez8, Li Guo9, Ryan L. Collins3, Xian Fan10, Jia Wen11, Robert E. Handsaker12, Robert E. Handsaker3, Susan Fairley13, Zev N. Kronenberg2, Xiangmeng Kong14, Fereydoun Hormozdiari15, Dillon Lee16, Aaron M. Wenger17, Alex Hastie, Danny Antaki18, Thomas Anantharaman, Peter A. Audano2, Harrison Brand3, Stuart Cantsilieris2, Han Cao, Eliza Cerveira, Chong Chen10, Xintong Chen7, Chen-Shan Chin17, Zechen Chong10, Nelson T. Chuang7, Christine C. Lambert17, Deanna M. Church, Laura Clarke13, Andrew Farrell16, Joey Flores19, Timur R. Galeev14, David U. Gorkin20, David U. Gorkin18, Madhusudan Gujral18, Victor Guryev6, William Haynes Heaton, Jonas Korlach17, Sushant Kumar14, Jee Young Kwon21, Ernest T. Lam, Jong Eun Lee, Joyce V. Lee, Wan-Ping Lee, Sau Peng Lee, Shantao Li14, Patrick Marks, Karine A. Viaud-Martinez19, Sascha Meiers, Katherine M. Munson2, Fabio C. P. Navarro14, Bradley J. Nelson2, Conor Nodzak11, Amina Noor18, Sofia Kyriazopoulou-Panagiotopoulou, Andy Wing Chun Pang, Yunjiang Qiu18, Yunjiang Qiu20, Gabriel Rosanio18, Mallory Ryan, Adrian M. Stütz, Diana C.J. Spierings6, Alistair Ward16, Anne Marie E. Welch2, Ming Xiao22, Wei Xu, Chengsheng Zhang, Qihui Zhu, Xiangqun Zheng-Bradley13, Ernesto Lowy13, Sergei Yakneen, Steven A. McCarroll3, Steven A. McCarroll12, Goo Jun23, Li Ding24, Chong-Lek Koh25, Bing Ren20, Bing Ren18, Paul Flicek13, Ken Chen10, Mark Gerstein, Pui-Yan Kwok26, Peter M. Lansdorp6, Peter M. Lansdorp27, Peter M. Lansdorp28, Gabor T. Marth16, Jonathan Sebat18, Xinghua Shi11, Ali Bashir8, Kai Ye9, Scott E. Devine7, Michael E. Talkowski12, Michael E. Talkowski3, Ryan E. Mills4, Tobias Marschall5, Jan O. Korbel13, Evan E. Eichler2, Charles Lee21 
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

Journal ArticleDOI
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

NameH-indexPapersCitations
Paul M. Ridker2331242245097
Eugene Braunwald2301711264576
Eric N. Olson206814144586
Hagop M. Kantarjian2043708210208
André G. Uitterlinden1991229156747
Gordon B. Mills1871273186451
Eric Boerwinkle1831321170971
Bruce M. Psaty1811205138244
Aaron R. Folsom1811118134044
Daniel R. Weinberger177879128450
Bharat B. Aggarwal175706116213
Richard A. Gibbs172889249708
Russel J. Reiter1691646121010
James F. Sallis169825144836
Steven N. Blair165879132929
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
2022231
20213,048
20202,807
20192,467
20182,224