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Institution

University of Pittsburgh

EducationPittsburgh, Pennsylvania, United States
About: University of Pittsburgh is a education organization based out in Pittsburgh, Pennsylvania, United States. It is known for research contribution in the topics: Population & Transplantation. The organization has 87042 authors who have published 201012 publications receiving 9656783 citations. The organization is also known as: Pitt & Western University of Pennsylvania.


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Journal ArticleDOI
Dalila Pinto1, Alistair T. Pagnamenta2, Lambertus Klei3, Richard Anney4  +178 moreInstitutions (46)
15 Jul 2010-Nature
TL;DR: The genome-wide characteristics of rare (<1% frequency) copy number variation in ASD are analysed using dense genotyping arrays to reveal many new genetic and functional targets in ASD that may lead to final connected pathways.
Abstract: The autism spectrum disorders (ASDs) are a group of conditions characterized by impairments in reciprocal social interaction and communication, and the presence of restricted and repetitive behaviours. Individuals with an ASD vary greatly in cognitive development, which can range from above average to intellectual disability. Although ASDs are known to be highly heritable ( approximately 90%), the underlying genetic determinants are still largely unknown. Here we analysed the genome-wide characteristics of rare (<1% frequency) copy number variation in ASD using dense genotyping arrays. When comparing 996 ASD individuals of European ancestry to 1,287 matched controls, cases were found to carry a higher global burden of rare, genic copy number variants (CNVs) (1.19 fold, P = 0.012), especially so for loci previously implicated in either ASD and/or intellectual disability (1.69 fold, P = 3.4 x 10(-4)). Among the CNVs there were numerous de novo and inherited events, sometimes in combination in a given family, implicating many novel ASD genes such as SHANK2, SYNGAP1, DLGAP2 and the X-linked DDX53-PTCHD1 locus. We also discovered an enrichment of CNVs disrupting functional gene sets involved in cellular proliferation, projection and motility, and GTPase/Ras signalling. Our results reveal many new genetic and functional targets in ASD that may lead to final connected pathways.

1,919 citations

Journal ArticleDOI
Carly G. K. Ziegler, Samuel J. Allon, Sarah K. Nyquist, Ian M. Mbano1, Vincent N. Miao, Constantine N. Tzouanas, Yuming Cao2, Ashraf S. Yousif3, Julia Bals3, Blake M. Hauser3, Blake M. Hauser4, Jared Feldman4, Jared Feldman3, Christoph Muus4, Christoph Muus5, Marc H. Wadsworth, Samuel W. Kazer, Travis K. Hughes, Benjamin Doran, G. James Gatter5, G. James Gatter3, G. James Gatter6, Marko Vukovic, Faith Taliaferro5, Faith Taliaferro7, Benjamin E. Mead, Zhiru Guo2, Jennifer P. Wang2, Delphine Gras8, Magali Plaisant9, Meshal Ansari, Ilias Angelidis, Heiko Adler, Jennifer M.S. Sucre10, Chase J. Taylor10, Brian M. Lin4, Avinash Waghray4, Vanessa Mitsialis11, Vanessa Mitsialis7, Daniel F. Dwyer11, Kathleen M. Buchheit11, Joshua A. Boyce11, Nora A. Barrett11, Tanya M. Laidlaw11, Shaina L. Carroll12, Lucrezia Colonna13, Victor Tkachev4, Victor Tkachev7, Christopher W. Peterson14, Christopher W. Peterson13, Alison Yu15, Alison Yu7, Hengqi Betty Zheng13, Hengqi Betty Zheng15, Hannah P. Gideon16, Caylin G. Winchell16, Philana Ling Lin16, Philana Ling Lin7, Colin D. Bingle17, Scott B. Snapper7, Scott B. Snapper11, Jonathan A. Kropski10, Jonathan A. Kropski18, Fabian J. Theis, Herbert B. Schiller, Laure-Emmanuelle Zaragosi9, Pascal Barbry9, Alasdair Leslie1, Alasdair Leslie19, Hans-Peter Kiem14, Hans-Peter Kiem13, JoAnne L. Flynn16, Sarah M. Fortune3, Sarah M. Fortune5, Sarah M. Fortune4, Bonnie Berger6, Robert W. Finberg2, Leslie S. Kean4, Leslie S. Kean7, Manuel Garber2, Aaron G. Schmidt4, Aaron G. Schmidt3, Daniel Lingwood3, Alex K. Shalek, Jose Ordovas-Montanes, Nicholas E. Banovich, Alvis Brazma, Tushar J. Desai, Thu Elizabeth Duong, Oliver Eickelberg, Christine S. Falk, Michael Farzan20, Ian A. Glass, Muzlifah Haniffa, Peter Horvath, Deborah T. Hung, Naftali Kaminski, Mark A. Krasnow, Malte Kühnemund, Robert Lafyatis, Haeock Lee, Sylvie Leroy, Sten Linnarson, Joakim Lundeberg, Kerstin B. Meyer, Alexander V. Misharin, Martijn C. Nawijn, Marko Nikolic, Dana Pe'er, Joseph E. Powell, Stephen R. Quake, Jay Rajagopal, Purushothama Rao Tata, Emma L. Rawlins, Aviv Regev, Paul A. Reyfman, Mauricio Rojas, Orit Rosen, Kourosh Saeb-Parsy, Christos Samakovlis, Herbert B. Schiller, Joachim L. Schultze, Max A. Seibold, Douglas P. Shepherd, Jason R. Spence, Avrum Spira, Xin Sun, Sarah A. Teichmann, Fabian J. Theis, Alexander M. Tsankov, Maarten van den Berge, Michael von Papen, Jeffrey A. Whitsett, Ramnik J. Xavier, Yan Xu, Kun Zhang 
28 May 2020-Cell
TL;DR: The data suggest that SARS-CoV-2 could exploit species-specific interferon-driven upregulation of ACE2, a tissue-protective mediator during lung injury, to enhance infection.

1,911 citations

Journal ArticleDOI
Yukinori Okada1, Yukinori Okada2, Di Wu3, Di Wu1, Di Wu2, Gosia Trynka2, Gosia Trynka1, Towfique Raj1, Towfique Raj2, Chikashi Terao4, Katsunori Ikari, Yuta Kochi, Koichiro Ohmura4, Akari Suzuki, Shinji Yoshida, Robert R. Graham5, A. Manoharan5, Ward Ortmann5, Tushar Bhangale5, Joshua C. Denny6, Robert J. Carroll6, Anne E. Eyler6, Jeff Greenberg7, Joel M. Kremer, Dimitrios A. Pappas8, Lei Jiang9, Jian Yin9, Lingying Ye9, Ding Feng Su9, Jian Yang10, Gang Xie11, E.C. Keystone11, Harm-Jan Westra12, Tõnu Esko1, Tõnu Esko13, Tõnu Esko2, Andres Metspalu13, Xuezhong Zhou14, Namrata Gupta2, Daniel B. Mirel2, Eli A. Stahl15, Dorothee Diogo2, Dorothee Diogo1, Jing Cui1, Jing Cui2, Katherine P. Liao2, Katherine P. Liao1, Michael H. Guo1, Michael H. Guo2, Keiko Myouzen, Takahisa Kawaguchi4, Marieke J H Coenen16, Piet L. C. M. van Riel16, Mart A F J van de Laar17, Henk-Jan Guchelaar18, Tom W J Huizinga18, Philippe Dieudé19, Xavier Mariette20, S. Louis Bridges21, Alexandra Zhernakova18, Alexandra Zhernakova12, René E. M. Toes18, Paul P. Tak22, Paul P. Tak23, Paul P. Tak24, Corinne Miceli-Richard20, So Young Bang25, Hye Soon Lee25, Javier Martin26, Miguel A. Gonzalez-Gay, Luis Rodriguez-Rodriguez27, Solbritt Rantapää-Dahlqvist28, Lisbeth Ärlestig28, Hyon K. Choi29, Hyon K. Choi1, Yoichiro Kamatani30, Pilar Galan19, Mark Lathrop31, Steve Eyre32, Steve Eyre33, John Bowes32, John Bowes33, Anne Barton32, Niek de Vries22, Larry W. Moreland34, Lindsey A. Criswell35, Elizabeth W. Karlson1, Atsuo Taniguchi, Ryo Yamada4, Michiaki Kubo, Jun Liu1, Sang Cheol Bae25, Jane Worthington32, Jane Worthington33, Leonid Padyukov36, Lars Klareskog36, Peter K. Gregersen37, Soumya Raychaudhuri2, Soumya Raychaudhuri1, Barbara E. Stranger38, Philip L. De Jager1, Philip L. De Jager2, Lude Franke12, Peter M. Visscher10, Matthew A. Brown10, Hisashi Yamanaka, Tsuneyo Mimori4, Atsushi Takahashi, Huji Xu9, Timothy W. Behrens5, Katherine A. Siminovitch11, Shigeki Momohara, Fumihiko Matsuda4, Kazuhiko Yamamoto39, Robert M. Plenge2, Robert M. Plenge1 
20 Feb 2014-Nature
TL;DR: A genome-wide association study meta-analysis in a total of >100,000 subjects of European and Asian ancestries provides empirical evidence that the genetics of RA can provide important information for drug discovery, and sheds light on fundamental genes, pathways and cell types that contribute to RA pathogenesis.
Abstract: A major challenge in human genetics is to devise a systematic strategy to integrate disease-associated variants with diverse genomic and biological data sets to provide insight into disease pathogenesis and guide drug discovery for complex traits such as rheumatoid arthritis (RA)1. Here we performed a genome-wide association study meta-analysis in a total of >100,000 subjects of European and Asian ancestries (29,880 RA cases and 73,758 controls), by evaluating ~10 million single-nucleotide polymorphisms. We discovered 42 novel RA risk loci at a genome-wide level of significance, bringing the total to 101 (refs 2, 3, 4). We devised an in silico pipeline using established bioinformatics methods based on functional annotation5, cis-acting expression quantitative trait loci6 and pathway analyses7, 8, 9—as well as novel methods based on genetic overlap with human primary immunodeficiency, haematological cancer somatic mutations and knockout mouse phenotypes—to identify 98 biological candidate genes at these 101 risk loci. We demonstrate that these genes are the targets of approved therapies for RA, and further suggest that drugs approved for other indications may be repurposed for the treatment of RA. Together, this comprehensive genetic study sheds light on fundamental genes, pathways and cell types that contribute to RA pathogenesis, and provides empirical evidence that the genetics of RA can provide important information for drug discovery.

1,910 citations

Journal ArticleDOI
03 Jul 2002-JAMA
TL;DR: Lower rates of CHD events among women in the hormone group in the final years of HERS did not persist during additional years of follow-up, and hormone therapy did not reduce risk of cardiovascular events in women with CHD.
Abstract: 1.22); HERS II, 1.00 (95% CI, 0.77-1.29); and overall, 0.99 (0.84-1.17). The overall RHs were similar after adjustment for potential confounders and differential use of statins between treatment groups (RH, 0.97; 95% CI, 0.82-1.14), and in analyses restricted to women who were adherent to randomized treatment assignment (RH, 0.96; 95% CI, 0.77-1.19). Conclusions Lower rates of CHD events among women in the hormone group in the final years of HERS did not persist during additional years of follow-up. After 6.8 years, hormone therapy did not reduce risk of cardiovascular events in women with CHD. Postmenopausal hormone therapy should not be used to reduce risk for CHD events in women with CHD.

1,902 citations

Journal ArticleDOI
TL;DR: It is concluded that research on depressive illness would be well served by greater consistency in the definition change points in the course of illness, and proposes an internally consistent, empirically defined conceptual scheme for the terms remission, recovery, relapse, and recurrence.
Abstract: • In 1988, the MacArthur Foundation Research Network on the Psychobiology of Depression convened a task force to examine the ways in which change points in the course of depressive illness had been described and the extent to which inconsistency in these descriptions might be impeding research on this disorder. We found considerable inconsistency across and even within research reports and concluded that research on depressive illness would be well served by greater consistency in the definition change points in the course of illness. We propose an internally consistent, empirically defined conceptual scheme for the terms remission, recovery , relapse , and recurrence . In addition, we propose tentative operational criteria for each term. Finally, we discuss ways to assess the usefulness of such operational criteria through reanalysis of existing data and the design and conduct of new experiments.

1,900 citations


Authors

Showing all 87737 results

NameH-indexPapersCitations
JoAnn E. Manson2701819258509
Graham A. Colditz2611542256034
Yi Chen2174342293080
David J. Hunter2131836207050
David Miller2032573204840
Rakesh K. Jain2001467177727
Lewis C. Cantley196748169037
Dennis W. Dickson1911243148488
Terrie E. Moffitt182594150609
Dennis S. Charney179802122408
Ronald C. Petersen1781091153067
David L. Kaplan1771944146082
Jasvinder A. Singh1762382223370
Richard K. Wilson173463260000
Deborah J. Cook173907148928
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023260
20221,089
202111,152
202010,408
20199,333
20188,577