scispace - formally typeset
Search or ask a question
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.


Papers
More filters
Journal ArticleDOI
Jason Flannick1, Jason Flannick2, Gudmar Thorleifsson3, Nicola L. Beer4, Nicola L. Beer2, Suzanne B.R. Jacobs2, Niels Grarup5, Noël P. Burtt2, Anubha Mahajan4, Christian Fuchsberger6, Gil Atzmon7, Rafn Benediktsson, John Blangero8, Donald W. Bowden9, Ivan Brandslund10, Julia Brosnan11, Frank Burslem, John C. Chambers12, John C. Chambers13, John C. Chambers14, Yoon Shin Cho15, Cramer Christensen10, Desiree Douglas16, Ravindranath Duggirala8, Zachary Dymek2, Yossi Farjoun2, Timothy Fennell2, Pierre Fontanillas2, Tom Forsén17, Stacey Gabriel2, Benjamin Glaser, Daniel F. Gudbjartsson3, Craig L. Hanis18, Torben Hansen10, Torben Hansen5, Astradur B. Hreidarsson, Kristian Hveem19, Erik Ingelsson4, Erik Ingelsson20, Bo Isomaa, Stefan Johansson21, Torben Jørgensen22, Torben Jørgensen5, Marit E. Jørgensen23, Sekar Kathiresan2, Sekar Kathiresan1, Augustine Kong3, Jaspal S. Kooner14, Jaspal S. Kooner13, Jaspal S. Kooner12, Jasmina Kravic16, Markku Laakso24, Jong-Young Lee, Lars Lind20, Cecilia M. Lindgren4, Cecilia M. Lindgren2, Allan Linneberg5, Gisli Masson3, Thomas Meitinger25, Karen L. Mohlke26, Anders Molven21, Andrew P. Morris4, Andrew P. Morris27, Shobha Potluri11, Rainer Rauramaa24, Rasmus Ribel-Madsen5, Ann Marie Richard11, Tim Rolph11, Veikko Salomaa28, Ayellet V. Segrè2, Ayellet V. Segrè1, Hanna Skärstrand16, Valgerdur Steinthorsdottir3, Heather M. Stringham6, Patrick Sulem3, E. Shyong Tai29, Yik Ying Teo29, Yik Ying Teo30, Tanya M. Teslovich6, Unnur Thorsteinsdottir3, Unnur Thorsteinsdottir31, Jeff K. Trimmer11, Tiinamaija Tuomi17, Jaakko Tuomilehto32, Jaakko Tuomilehto33, Jaakko Tuomilehto28, Fariba Vaziri-Sani16, Benjamin F. Voight34, Benjamin F. Voight2, James G. Wilson35, Michael Boehnke6, Mark I. McCarthy4, Mark I. McCarthy36, Pål R. Njølstad21, Pål R. Njølstad2, Oluf Pedersen5, Leif Groop17, Leif Groop16, David R. Cox11, Kari Stefansson3, Kari Stefansson31, David Altshuler2, David Altshuler37, David Altshuler1 
TL;DR: In this article, the authors identified 12 rare protein-truncating variants in SLC30A8, which encodes an islet zinc transporter (ZnT8) and harbors a common variant (p.Trp325Arg) associated with T2D risk and glucose and proinsulin levels.
Abstract: Loss-of-function mutations protective against human disease provide in vivo validation of therapeutic targets, but none have yet been described for type 2 diabetes (T2D). Through sequencing or genotyping of ~150,000 individuals across 5 ancestry groups, we identified 12 rare protein-truncating variants in SLC30A8, which encodes an islet zinc transporter (ZnT8) and harbors a common variant (p.Trp325Arg) associated with T2D risk and glucose and proinsulin levels. Collectively, carriers of protein-truncating variants had 65% reduced T2D risk (P = 1.7 × 10(-6)), and non-diabetic Icelandic carriers of a frameshift variant (p.Lys34Serfs*50) demonstrated reduced glucose levels (-0.17 s.d., P = 4.6 × 10(-4)). The two most common protein-truncating variants (p.Arg138* and p.Lys34Serfs*50) individually associate with T2D protection and encode unstable ZnT8 proteins. Previous functional study of SLC30A8 suggested that reduced zinc transport increases T2D risk, and phenotypic heterogeneity was observed in mouse Slc30a8 knockouts. In contrast, loss-of-function mutations in humans provide strong evidence that SLC30A8 haploinsufficiency protects against T2D, suggesting ZnT8 inhibition as a therapeutic strategy in T2D prevention.

394 citations

Journal ArticleDOI
TL;DR: The theoretical basis of Lake's evolutionary parsimony method of constructing a phylogenetic tree, which is primarily applied to four DNA sequences, is examined and it is found that when the rates of two transversional changes from a nucleotide are unequal, his invariance property breaks down.
Abstract: Lake's evolutionary parsimony (EP) method of constructing a phylogenetic tree is primarily applied to four DNA sequences. In this method, three quantities--X, Y, and Z--that correspond to three possible unrooted trees are computed, and an invariance property of these quantities is used for choosing the best tree. However, Lake's method depends on a number of unrealistic assumptions. We therefore examined the theoretical basis of his method and reached the following conclusions: (1) When the rates of two transversional changes from a nucleotide are unequal, his invariance property breaks down. (2) Even if the rates of two transversional changes are equal, the invariance property requires some additional conditions. (3) When Kimura's two-parameter model of nucleotide substitution applies and the rate of nucleotide substitution varies greatly with branch, the EP method is generally better than the standard maximum-parsimony (MP) method in recovering the correct tree but is inferior to the neighbor-joining (NJ) and a few other distance matrix methods. (4) When the rate of nucleotide substitution is the same or nearly the same for all branches, the EP method is inferior to the MP method even if the proportion of transitional changes is high. (5) When Lake's assumptions fail, his chi2 test may identify an erroneous tree as the correct tree. This happens because the test is not for comparing different trees. (6) As long as a proper distance measure is used, the NJ method is better than the EP and MP methods whether there is a transition/transversion bias or whether there is variation in substitution rate among different nucleotide sites.

394 citations

Journal ArticleDOI
TL;DR: Lower mortality rates and shorter LOS despite a 27%-36% higher cost of care continues to justify the use of EVAR over OAR, and EVAR should be the preferred management of both ruptured and unruptured AAAs.

393 citations

Journal ArticleDOI
TL;DR: It is proved that, by modulating cyclin G1, miR-122 influences p53 protein stability and transcriptional activity and reduces invasion capability of HCC-derived cell lines and is established a basis toward the development of combined chemo- and miRNA-based therapy for HCC treatment.
Abstract: The identification of target genes is a key step for assessing the role of aberrantly expressed microRNAs (miRNA) in human cancer and for the further development of miRNA-based gene therapy. MiR-122 is a liver-specific miRNA accounting for 70% of the total miRNA population. Its down-regulation is a common feature of both human and mouse hepatocellular carcinoma (HCC). We have previously shown that miR-122 can regulate the expression of cyclin G1, whose high levels have been reported in several human cancers. We evaluated the role of miR-122 and cyclin G1 expression in hepatocarcinogenesis and in response to treatment with doxorubicin and their relevance on survival and time to recurrence (TTR) of HCC patients. We proved that, by modulating cyclin G1, miR-122 influences p53 protein stability and transcriptional activity and reduces invasion capability of HCC-derived cell lines. In addition, in a therapeutic perspective, we assayed the effects of a restored miR-122 expression in triggering doxorubicin-induced apoptosis and we proved that miR-122, as well as cyclin G1 silencing, increases sensitivity to doxorubicin challenge. In patients resected for HCC, lower miR-122 levels were associated with a shorter TTR, whereas higher cyclin G1 expression was related to a lower survival, suggesting that miR-122 might represent an effective molecular target for HCC. Our findings establish a basis toward the development of combined chemo- and miRNA-based therapy for HCC treatment.

393 citations

Journal ArticleDOI
TL;DR: Data show that persisting vaccine depots can induce specific T cell sequestration, dysfunction and deletion at vaccination sites; short-lived formulations may overcome these limitations and result in greater therapeutic efficacy of peptide-based cancer vaccines.
Abstract: To understand why cancer vaccine-induced T cells often do not eradicate tumors, we studied immune responses in mice vaccinated with gp100 melanoma peptide in incomplete Freund's adjuvant (peptide/IFA), which is commonly used in clinical cancer vaccine trials. Peptide/IFA vaccination primed tumor-specific CD8(+) T cells, which accumulated not in tumors but rather at the persisting, antigen-rich vaccination site. Once there, primed T cells became dysfunctional and underwent antigen-driven, interferon-γ (IFN-γ)- and Fas ligand (FasL)-mediated apoptosis, resulting in hyporesponsiveness to subsequent vaccination. Provision of CD40-specific antibody, Toll-like receptor 7 (TLR7) agonist and interleukin-2 (IL-2) reduced T cell apoptosis but did not prevent vaccination-site sequestration. A nonpersisting vaccine formulation shifted T cell localization toward tumors, inducing superior antitumor activity while reducing systemic T cell dysfunction and promoting memory formation. These data show that persisting vaccine depots can induce specific T cell sequestration, dysfunction and deletion at vaccination sites; short-lived formulations may overcome these limitations and result in greater therapeutic efficacy of peptide-based cancer vaccines.

393 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
Network Information
Related Institutions (5)
University of California, San Francisco
186.2K papers, 12M citations

98% related

Baylor College of Medicine
94.8K papers, 5M citations

98% related

Emory University
122.4K papers, 6M citations

98% related

Brigham and Women's Hospital
110.5K papers, 6.8M citations

97% related

University of Pittsburgh
201K papers, 9.6M citations

96% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
2022231
20213,048
20202,807
20192,467
20182,224