5 research outputs found

    Evidence that the 5p12 Variant rs10941679 Confers Susceptibility to Estrogen Receptor-Positive Breast Cancer through FGF10 and MRPS30 Regulation

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    Genome-wide association studies (GWASs) have revealed increased breast cancer risk associated with multiple genetic variants at 5p12. Here, we report the fine mapping of this locus using data from 104,660 subjects from 50 case-control studies in the Breast Cancer Association Consortium (BCAC). With data for 3,365 genotyped and imputed SNPs across a 1 Mb region (positions 44,394,495–45,364,167; NCBI build 37), we found evidence for at least three independent signals: the strongest signal, consisting of a single SNP rs10941679, was associated with risk of estrogen receptor-positive (ER+) breast cancer (per-g allele OR ER+ = 1.15; 95% CI 1.13–1.18; p = 8.35 × 10−30). After adjustment for rs10941679, we detected signal 2, consisting of 38 SNPs more strongly associated with ER-negative (ER−) breast cancer (lead SNP rs6864776: per-a allele OR ER− = 1.10; 95% CI 1.05–1.14; p conditional = 1.44 × 10−12), and a single signal 3 SNP (rs200229088: per-t allele OR ER+ = 1.12; 95% CI 1.09–1.15; p conditional = 1.12 × 10−05). Expression quantitative trait locus analysis in normal breast tissues and breast tumors showed that the g (risk) allele of rs10941679 was associated with increased expression of FGF10 and MRPS30. Functional assays demonstrated that SNP rs10941679 maps to an enhancer element that physically interacts with the FGF10 and MRPS30 promoter regions in breast cancer cell lines. FGF10 is an oncogene that binds to FGFR2 and is overexpressed in ∼10% of human breast cancers, whereas MRPS30 plays a key role in apoptosis. These data suggest that the strongest signal of association at 5p12 is mediated through coordinated activation of FGF10 and MRPS30, two candidate genes for breast cancer pathogenesis

    Hospital Care of Older Patients With COPD: Adherence to International Guidelines for Use of Inhaled Bronchodilators and Corticosteroids

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    Objectives: We aimed to analyze the prevalence and impact of COPD in older patients hospitalized in internal medicine or geriatric wards, and to investigate adherence to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines, associated clinical factors, and outcomes.Design: Data were obtained from REgistro POliterapie SIMI (REPOSI), a prospective multicenter observational registry that enrolls inpatients aged >= 65 years.Setting and Participants: Older hospitalized patients enrolled from 2008 to 2016 with a diagnosis of COPD.Measures: We evaluated adherence to the 2018 GOLD guidelines at admission and discharge, by examining the prescription of inhaled bronchodilators and corticosteroids in COPD patients. We also evaluated the occurrence of outcomes and its association with COPD and guideline adherence.Results: At hospital admission, COPD was diagnosed in 1302 (21.5%) of 6046 registered patients. COPD patients were older, with more impaired clinical and functional status and multiple comorbidities. Overall, 34.3% of COPD patients at admission and 35.6% at discharge were adherent to the GOLD guidelines. Polypharmacy (>= 5 drugs) at admission [odds ratio (OR): 3.28, 95% confidence interval (CI): 2.24-4.81], a history of acute COPD exacerbation (OR: 2.65, 95% CI: 1.44-4.88) at admission, smoking habit (OR: 1.45, 95% CI: 1.08-1.94), and polypharmacy at discharge (OR: 6.76, 95% CI: 4.15-11.0) were associated with adherence to guidelines. COPD was independently associated with the risk of cardiovascular and respiratory death and rehospitalization occurrence compared to patients without COPD during follow-up. Adherence to guidelines was inversely associated with the occurrence of death from all causes (OR: 0.12, 95% CI: 0.02-0.90).Conclusions/Implications: COPD was common in older patients acutely hospitalized, showing an impaired functional and clinical status. Prescriptions for older COPD patients were often not adherent to GOLD guidelines. Poor adherence to guidelines was associated with a worse clinical status. There is a need to improve adherence to guidelines in treating COPD patients, with the ultimate goal of reducing clinical events. (C) 2019 AMDA - The Society for Post-Acute and Long-Term Care Medicine

    BioTIME:a database of biodiversity time series for the Anthropocene

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    Abstract Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community‐led open‐source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km² (158 cm²) to 100 km² (1,000,000,000,000 cm²). Time period and grain: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format: .csv and .SQL
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