14 research outputs found
Additional file 1: of Is alcohol consumption a risk factor for prostate cancer? A systematic review and metaâanalysis
Meta-analysis data on prostate cancer and alcohol consumption. (XLSX 42 kb
Additional file 1: of Clearing the air: protocol for a systematic meta-narrative review on the harms and benefits of e-cigarettes and vapour devices
PRISMA-P 2015 checklist
Analyses of poly(T) and poly(A) motifs in the IR2 sequence of <i>Conus consors</i>.
<p>25 clones representing the first IR2 sequence part (blue bars; primer pair F/R-1.1, PCR product includes poly(T) stretch) and 17 clones representing the second IR2 sequence part (red bars; primer pair F/R-1.3, PCR product includes poly(A) stretch) were sequenced according to Sanger and analyzed. Since, the quality of the poly(A) sequences obtained had been suboptimal, the reverse complement sequences containing a poly(T) stretch instead of the poly(A) motif were analyzed. For both IR2 sequence parts investigated, variations in length due to the phenomenon of strand slippage were observed. Accordingly, it was not possible to determine the exact length of the poly(T) and the poly(A) stretches. Most likely, both homopolymeric sequence motifs are 18 or 19 bp in length.</p
Predicted secondary structures before IR2 of the mtDNA control region of <i>Conus consors</i> in comparison with <i>C. borgesi</i> and <i>C. textile</i>.
<p>Short inverted repeat IR1 (highlighted with yellow circles) is a common feature of the non-coding region in the mitochondrial genomes of <i>C. consors</i>, <i>C. borgesi</i> and <i>C. textile</i>. Structures and folding energies were predicted with <i>mfold </i><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0051528#pone.0051528-Zuker1" target="_blank">[20]</a>.</p
Highly similar segments of the longest non-coding mtDNA region in the neogastropods <i>Conus consors</i> and <i>Terebra dimidiata</i>
<p><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0051528#pone.0051528-Cunha1" target="_blank">[<b>7</b>]</a><b>.</b> CRs in <i>C. consors</i> and <i>T. dimidiata</i> share short and very similar segments, including the 39 bp of the IR2 sequence motif (the second alignment). Sequence alignment was done by MUSCLE <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0051528#pone.0051528-Zuker1" target="_blank">[20]</a>. Sequence similarities are highlighted in green (A), blue (C), yellow (G) and red (T).</p
Table_1_A drink equals how many cigarettes? Equating mortality risks from alcohol and tobacco use in Canada.DOCX
ObjectiveTo quantify and communicate risk equivalencies for alcohol-and tobacco-attributable mortality by comparing per standard drinks consumed to per number of cigarettes smoked in Canada.MethodsAlcohol-and tobacco-attributable premature deaths (≤75 years of age) and years of life lost (YLL) were estimated using a lifetime risk modeling approach. Alcohol-attributable death statistics were obtained from the 2023 Canadian Guidance on Alcohol and Health data source. Tobacco-attributable death statistics were derived from the Mortality Population Risk Tool (MPoRT) model.ResultsThe risk of alcohol use on premature death and YLL increased non-linearly with the number of drinks consumed, while the risk for tobacco use on these two measures increased linearly with the number of cigarettes smoked. Males who consumed 5 drinks/day—a standard drink contains 13.45 grams of alcohol in Canada—had an equivalent risk as smoking 4.9 cigarettes/day (when modeling for premature death) and 5.1 cigarettes/day (when modeling for YLL). Females who consumed 5 drinks/day experienced an equivalent risk as smoking 4.2 cigarettes/day for premature deaths and YLL. At all levels of alcohol consumption females and males who consumed ConclusionRisk equivalencies comparing alcohol use to tobacco use could help people who drink improve their knowledge and understanding of the mortality risks associated with increased number of drinks consumed per day.</p
Virus accession numbers
Tab delimited text file for 908 newly generated influenza B virus samples isolated from humans in Australia and New Zealand during 2002–2013. For each of these samples, virus sample name, collection data, country and GenBank or GISAID accession numbers of each gene segment are provided
Hemagglutination inhibition titers
Excel file with two sheets proving raw HI titer values for representative influenza B virus antigens of Victoria and Yamagata viruses isolated in Australia and New Zealand during 2002–2013 estimated against representative antisera. Strain names and passage history are provided for each antigen and antisera
BEAST xml file - B/Yamagata
Beast input file (xml) with data and parameters used for Bayesian phylogenetic analysis of the HA dataset of B/Yamagata viruses isolated in Australia and New Zealand