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Institution

Wake Forest University

EducationWinston-Salem, North Carolina, United States
About: Wake Forest University is a education organization based out in Winston-Salem, North Carolina, United States. It is known for research contribution in the topics: Population & Diabetes mellitus. The organization has 21499 authors who have published 48731 publications receiving 2246027 citations. The organization is also known as: Wake Forest College.


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Journal ArticleDOI
TL;DR: Genetic variation in the LPA locus, mediated by Lp(a) levels, is associated with aortic-valve calcification across multiple ethnic groups and with incident clinical aorti stenosis.
Abstract: Background Limited information is available regarding genetic contributions to valvular calcification, which is an important precursor of clinical valve disease. Methods We determined genomewide associations with the presence of aortic-valve calcification (among 6942 participants) and mitral annular calcification (among 3795 participants), as detected by computed tomographic (CT) scanning; the study population for this analysis included persons of white European ancestry from three cohorts participating in the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (discovery population). Findings were replicated in independent cohorts of persons with either CT-detected valvular calcification or clinical aortic stenosis. Results One SNP in the lipoprotein(a) (LPA) locus (rs10455872) reached genomewide significance for the presence of aortic-valve calcification (odds ratio per allele, 2.05; P=9.0×10−10), a finding that was replicated in additional white European, African-American, and Hispa...

757 citations

Journal ArticleDOI
Anna Köttgen1, Anna Köttgen2, Cristian Pattaro3, Carsten A. Böger4, Christian Fuchsberger3, Matthias Olden4, Nicole L. Glazer5, Afshin Parsa6, Xiaoyi Gao7, Qiong Yang8, Albert V. Smith9, Jeffrey R. O'Connel, Man Li1, Helena Schmidt, Toshiko Tanaka10, Toshiko Tanaka11, Aaron Isaacs12, Shamika Ketkar7, Shih-Jen Hwang10, Andrew D. Johnson10, Abbas Dehghan12, Alexander Teumer13, Guillaume Paré14, Elizabeth J. Atkinson15, Tanja Zeller16, Kurt Lohman17, Marilyn C. Cornelis18, Nicole Probst-Hensch19, Nicole Probst-Hensch20, Florian Kronenberg21, Anke Tönjes22, Caroline Hayward23, Thor Aspelund9, Gudny Eiriksdottir, Lenore J. Launer10, Tamara B. Harris10, Evadnie Rampersaud, Braxton D. Mitchel, Dan E. Arking1, Eric Boerwinkle24, Maksim Struchalin12, Margherita Cavalieri, Andrew B. Singleton10, Francesco Giallauria, Jeffrey Metter, Ian H. de Boer5, Talin Haritunians25, Thomas Lumley5, David S. Siscovick5, Bruce M. Psaty5, M. CarolaZillikens12, Ben A. Oostra12, Mary F. Feitosa7, Michael A. Province7, Mariza de Andrade15, Stephen T. Turner15, Arne Schillert3, Andreas Ziegler3, Philipp S. Wild16, Renate B. Schnabel16, Sandra Wilde16, Thomas Münzel16, Tennille S. Leak26, Thomas Illig, Norman Klopp, Christa Meisinger, H.-Erich Wichmann27, Wolfgang Koenig28, Lina Zgaga29, Tatijana Zemunik30, Ivana Kolcic31, Cosetta Minelli3, Frank B. Hu18, Åsa Johansson32, Wilmar Igl32, Ghazal Zaboli32, Sarah H. Wild29, Alan F. Wright23, Harry Campbell29, David Ellinghaus33, Stefan Schreiber33, Yurii S. Aulchenko12, Janine F. Felix12, Fernando Rivadeneira12, André G. Uitterlinden12, Albert Hofman12, Medea Imboden20, Medea Imboden19, Dorothea Nitsch34, Anita Brandstätter21, Barbara Kollerits21, Lyudmyla Kedenko, Reedik Mägi35, Michael Stumvoll22, Peter Kovacs22, Mladen Boban30, Susan Campbell23, Karlhans Endlich13, Henry Völzke13, Heyo K. Kroemer13, Matthias Nauck13, Uwe Völker13, Ozren Polasek31, Veronique Vitart23, Sunita Badola36, Alex Parker36, Paul M. Ridker18, Sharon L.R. Kardia37, Stefan Blankenberg16, Yongmei Liu17, Gary C. Curhan18, Andre Franke33, Thierry Rochat38, Bernhard Paulweber, Inga Prokopenko35, Wei Wang39, Wei Wang30, Vilmundur Gudnason9, Alan R. Shuldine6, Josef Coresh1, Reinhold E. Schmidt, Luigi Ferrucci, Michael G. Shlipak40, Cornelia M. van Duijn12, Ingrid B. Borecki7, Bernhard K. Krämer41, Igor Rudan29, Ulf Gyllensten32, James F. Wilson29, Jacqueline C. M. Witteman12, Peter P. Pramstaller3, Rainer Rettig13, Nicholas D. Hastie23, Daniel I. Chasman18, Wen Hong L. Kao1, Iris M. Heid4, Caroline S. Fox18, Caroline S. Fox10 
TL;DR: The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry to identify new susceptibility loci for reduced renal function as estimated by serum creatinine, serum cystatin c and CKD.
Abstract: Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea < 60 ml/min/1.73 m(2); n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P < 5 x 10(-8)) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney.

756 citations

Journal ArticleDOI
TL;DR: In this article, the authors performed a randomized trial with a 2-by-2 factorial design to compare target ranges of oxygen saturation of 85 to 89% or 91 to 95% among 1316 infants who were born between 24 weeks 0 days and 27 weeks 6 days of gestation.
Abstract: BACKGROUND Previous studies have suggested that the incidence of retinopathy is lower in preterm infants with exposure to reduced levels of oxygenation than in those exposed to higher levels of oxygenation. However, it is unclear what range of oxygen saturation is appropriate to minimize retinopathy without increasing adverse outcomes. METHODS We performed a randomized trial with a 2-by-2 factorial design to compare target ranges of oxygen saturation of 85 to 89% or 91 to 95% among 1316 infants who were born between 24 weeks 0 days and 27 weeks 6 days of gestation. The primary outcome was a composite of severe retinopathy of prematurity (defined as the presence of threshold retinopathy, the need for surgical ophthalmologic intervention, or the use of bevacizumab), death before discharge from the hospital, or both. All infants were also randomly assigned to continuous positive airway pressure or intubation and surfactant. RESULTS The rates of severe retinopathy or death did not differ significantly between the lower-oxygen-saturation group and the higher-oxygen-saturation group (28.3% and 32.1%, respectively; relative risk with lower oxygen saturation, 0.90; 95% confidence interval [CI], 0.76 to 1.06; P=0.21). Death before discharge occurred more frequently in the lower-oxygen-saturation group (in 19.9% of infants vs. 16.2%; relative risk, 1.27; 95% CI, 1.01 to 1.60; P=0.04), whereas severe retinopathy among survivors occurred less often in this group (8.6% vs. 17.9%; relative risk, 0.52; 95% CI, 0.37 to 0.73; P<0.001). There were no significant differences in the rates of other adverse events. CONCLUSIONS A lower target range of oxygenation (85 to 89%), as compared with a higher range (91 to 95%), did not significantly decrease the composite outcome of severe retinopathy or death, but it resulted in an increase in mortality and a substantial decrease in severe retinopathy among survivors. The increase in mortality is a major concern, since a lower target range of oxygen saturation is increasingly being advocated to prevent retinopathy of prematurity. (ClinicalTrials.gov number, NCT00233324.)

755 citations

Journal ArticleDOI
Leming Shi1, Gregory Campbell1, Wendell D. Jones, Fabien Campagne2  +198 moreInstitutions (55)
TL;DR: P predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans are generated.
Abstract: Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets to generate predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans. In total, >30,000 models were built using many combinations of analytical methods. The teams generated predictive models without knowing the biological meaning of some of the endpoints and, to mimic clinical reality, tested the models on data that had not been used for training. We found that model performance depended largely on the endpoint and team proficiency and that different approaches generated models of similar performance. The conclusions and recommendations from MAQC-II should be useful for regulatory agencies, study committees and independent investigators that evaluate methods for global gene expression analysis.

753 citations

Journal ArticleDOI
Robert A. Scott, Vasiliki Lagou1, Ryan P. Welch2, Eleanor Wheeler3  +213 moreInstitutions (67)
TL;DR: Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations and further functional analysis of these newly discovered loci will further improve the understanding of glycemic control.
Abstract: Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.

753 citations


Authors

Showing all 21721 results

NameH-indexPapersCitations
Salim Yusuf2311439252912
Ralph B. D'Agostino2261287229636
David J. Hunter2131836207050
Ronald Klein1941305149140
Luigi Ferrucci1931601181199
Bruce M. Psaty1811205138244
Kenneth C. Anderson1781138126072
Brenda W.J.H. Penninx1701139119082
Russel J. Reiter1691646121010
David R. Jacobs1651262113892
Barbara E.K. Klein16085693319
Christopher J. O'Donnell159869126278
Steven R. Cummings158579104007
David Cella1561258106402
Jack M. Guralnik14845383701
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202365
2022343
20212,610
20202,331
20192,132
20181,978