16 research outputs found

    A framework to assess quality and uncertainty in disaster loss data

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    There is a growing interest in the systematic and consistent collection of disasterloss data for different applications. Therefore, the collected data must follow a set oftechnical requirements to guarantee its usefulness. One of those requirements is theavailability of a measure of the uncertainty in the collected data to express its quality for agiven purpose. Many of the existing disaster loss databases do not provide such uncertainty/qualitymeasures due to the lack of a simple and consistent approach to expressuncertainty. After reviewing existing literature on the subject, a framework to express theuncertainty in disaster loss data is proposed. This framework builds on an existinguncertainty classification that was updated and combined with an existing method for datacharacterization. The proposed approach is able to establish a global score that reflects theoverall uncertainty in a certain loss indicator and provides a measure of its quality

    Transcriptomic characterization of a Puerto Rican Alzheimer disease cohort implicates convergent immune‐related pathways

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    BackgroundGenetic risk factors for Alzheimer disease (AD) demonstrate distinct effects across diverse ancestral populations. The ancestral heterogeneity (admixture) of Caribbean Hispanics from Puerto Rico (PR), makes studies of the PR population important in the discovery of ancestry‐specific factors in AD. To expand ongoing genomic investigations of AD in PR individuals, it is necessary to characterize functional downstream effects by studying gene expression and regulation. Here we characterized the differences in gene expression, splicing, and RNA editing of the protein coding transcriptome from peripheral blood in PR individuals. to identify case vs control differential expression, splicing, and RNA editing in this diverse population.MethodPoly‐A selected RNA was from peripheral whole blood of 76 PR individuals over the age of 65 (39 AD, 37 cognitively normal controls) was sequenced and analyzed with a standard bioinformatics pipeline. Differential expression between PR cases and controls was calculated using DESeq2, alternative splicing using LeafCutter software, and RNA editing with REDITools and linear models. All analyses were adjusted for sex, age, and sequencing coverage. For each analysis, pathway enrichment analysis of Gene Ontology Biological Processes and KEGG gene sets were used to identify underlying biological pathways.ResultA total of 761 genes (518 up‐regulated, 243 down‐regulated) were differentially expressed between PR AD and controls (adjusted p ≤ 0.05). At the transcript level, 561 genes had a significant (FDR ≤ 0.05) differential splicing event. We also identified 35,246 total RNA editing sites. While there was no significant difference globally, 422 sites in 159 genes showed nominally significant editing difference (p ≤ 0.05). These genes, isoforms, and RNA editing sites overlap little with previous investigations of the transcriptomes of Non‐Hispanic Whites and African‐American AD with only a few genes in common. However, pathway enrichment across all three PR transcriptomic analyses consistently reveals differences in both the adaptive and innate immune response pathways, consistent with other ancestries.ConclusionTranscriptomic analyses of diverse populations in AD, shows stark divergence at the single gene level. However, the convergence on immune molecular pathways suggest shared underlying disease etiology and the possibility of broad therapeutic options
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