Last data update: Jan 27, 2025. (Total: 48650 publications since 2009)
Records 1-2 (of 2 Records) |
Query Trace: Lee YH[original query] |
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Prevalence and trends of coronary heart disease in the United States, 2011 to 2018
Lee YH , Fang J , Schieb L , Park S , Casper M , Gillespie C . JAMA Cardiol 2022 7 (4) 459-462 This survey study examines prevalence of coronary heart disease and the trend from 2011 to 2018 using self-reported data from the Behavioral Risk Factor Surveillance System. |
An internet-accessible DNA sequence database for identifying fusaria from human and animal infections
O'Donnell K , Sutton DA , Rinaldi MG , Sarver BA , Balajee SA , Schroers HJ , Summerbell RC , Robert VA , Crous PW , Zhang N , Aoki T , Jung K , Park J , Lee YH , Kang S , Park B , Geiser DM . J Clin Microbiol 2010 48 (10) 3708-18 ![]() Because less than one-third of clinically relevant fusaria can be accurately identified to species level using phenotypic data (i.e., morphological species recognition), we constructed a three-locus DNA sequence database to facilitate molecular identification of the 69 Fusarium species associated with human or animal mycoses encountered in clinical microbiology laboratories. The database comprises partial sequences from three nuclear genes: translation elongation factor 1alpha (EF-1alpha), the largest subunit of RNA polymerase (RPB1), and the second largest subunit of RNA polymerase (RPB2). These three gene fragments can be amplified by PCR and sequenced using primers that are conserved across the phylogenetic breadth of Fusarium. Phylogenetic analyses of the combined dataset reveal that, with the exception of two monotypic lineages, all clinically relevant fusaria are nested in one of eight variously sized and strongly supported species complexes. The monophyletic lineages have been named informally to facilitate communication of an isolate's clade membership and genetic diversity. To identify isolates to species included within the database, partial DNA sequence data from one or more of the three genes can be used as a BLAST query against the database which is web-accessible at FUSARIUM-ID (http://isolate.fusariumdb.org) and the Centraalbureau voor Schimmelcultures (CBS-KNAW) Fungal Biodiversity Center (http://www.cbs.knaw.nl/fusarium). Alternatively, isolates can be identified via phylogenetic analysis by adding sequences of unknowns to the DNA sequence alignment, which can be downloaded from the two aforementioned websites. The utility of this database should increase significantly as members of the clinical microbiology community deposit cultures of novel mycosis-associated fusaria in internationally accessible culture collections (e.g., CBS-KNAW or the Fusarium Research Center), along with associated, corrected sequence chromatograms and data, so that the sequence results can be verified and isolates are made available for future study. |
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