Institution
Wake Forest University
Education•Winston-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.
Topics: Population, Diabetes mellitus, Cancer, Medicine, Blood pressure
Papers published on a yearly basis
Papers
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McGill University1, National Institutes of Health2, Johns Hopkins University3, University of Washington4, Broad Institute5, Lund University6, University of Iceland7, Harvard University8, University of Duisburg-Essen9, University of California, Los Angeles10, University of Copenhagen11, University of California, San Diego12, Wake Forest University13, University of Bonn14, Boston University15, University of Glasgow16, University of Cambridge17, Cedars-Sinai Medical Center18
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
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Johns Hopkins University1, University of Freiburg2, University of Lübeck3, University of Regensburg4, University of Washington5, University of Maryland, Baltimore6, Washington University in St. Louis7, Boston University8, University of Iceland9, National Institutes of Health10, Memorial Hospital of South Bend11, Erasmus University Rotterdam12, University of Greifswald13, McMaster University14, Mayo Clinic15, University of Mainz16, Wake Forest University17, Harvard University18, Swiss Tropical and Public Health Institute19, University of Basel20, Innsbruck Medical University21, Leipzig University22, Western General Hospital23, University of Texas Health Science Center at Houston24, Cedars-Sinai Medical Center25, University of Pittsburgh26, Ludwig Maximilian University of Munich27, University of Ulm28, University of Edinburgh29, University of Split30, University of Zagreb31, Uppsala University32, University of Kiel33, University of London34, University of Oxford35, Amgen36, University of Michigan37, University of Geneva38, Capital Medical University39, University of California, San Francisco40, Heidelberg University41
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
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University of Alabama at Birmingham1, University of California, San Diego2, Case Western Reserve University3, Brown University4, University of Utah5, University of Cincinnati6, Tufts University7, Emory University8, University of Texas Southwestern Medical Center9, University of Texas Health Science Center at Houston10, University of Rochester11, Indiana University12, Duke University13, Stanford University14, University of Miami15, Wayne State University16, Wake Forest University17, University of Iowa18, Yale University19, University of New Mexico20, National Institutes of Health21
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
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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
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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
Name | H-index | Papers | Citations |
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Salim Yusuf | 231 | 1439 | 252912 |
Ralph B. D'Agostino | 226 | 1287 | 229636 |
David J. Hunter | 213 | 1836 | 207050 |
Ronald Klein | 194 | 1305 | 149140 |
Luigi Ferrucci | 193 | 1601 | 181199 |
Bruce M. Psaty | 181 | 1205 | 138244 |
Kenneth C. Anderson | 178 | 1138 | 126072 |
Brenda W.J.H. Penninx | 170 | 1139 | 119082 |
Russel J. Reiter | 169 | 1646 | 121010 |
David R. Jacobs | 165 | 1262 | 113892 |
Barbara E.K. Klein | 160 | 856 | 93319 |
Christopher J. O'Donnell | 159 | 869 | 126278 |
Steven R. Cummings | 158 | 579 | 104007 |
David Cella | 156 | 1258 | 106402 |
Jack M. Guralnik | 148 | 453 | 83701 |