Missa Yielu: Music in the Dagara Mass

This paper explores the music of Dagara Masses in Ghana. The Dagara people are defined and described according to the geography of their land and linguistic dialects spoken in the region. A discussion of cultural indicators highlights traditional occupations, family structure, and social practices. Dagara musical practices are outlined by function and include descriptions of instruments and how they are played. Examination of indigenous religious beliefs describe the behaviors, values, and symbols that permeate Dagara life. A summary of the Dagara\u27s encounter with Christianity sets the scene for present-day celebrations of the Mass. Through observation and interview, research was conducted to uncover the correlations between Dagara church music and worship, discipleship, and evangelism. Musical rituals of the Mass and Christian belief systems are compared to rituals and beliefs of traditional life. A case study narrating the liturgy of the Mass exemplifies the musical practices of an ordinary Dagara Mass. Descriptions of musical phenomena include photos, audio, transcriptions of music, and translations of text. An examination of musical elements, functions, composition, transmission, and meanings of Dagara church music highlight its prominent role in the Africanization of Christianity in Dagara communities. Finally, a song collection of Dagara church music provides musical data for music preservation and analysis

Annotonia: Annotations from Browser to TEI

The Willa Cather Archive (WCA) at the University of Nebraska-Lincoln (UNL) is currently working on transcription and annotation of 1500 letters to be released in 2018. As editors will write several thousand annotations, the workflow logistics are complicated. Annotonia1 is a solution developed within the Center for Digital Research in Humanities (CDRH) that allows editors to write annotations directly on letters in a browser and insert those annotations into Text Encoding Initiative (TEI) XML files. Multiple editors review annotations, track letters’ annotation statuses, and generate a new TEI file incorporating the annotations, avoiding having to manually edit each file. Annotonia utilizes both pre-existing, customized open source software and new software developed for this project. This paper describes the difficulties faced, the workflow of Annotonia, and its prospects for future annotation work

Resolution of inflammation: what Controls its Onset?

The authors would like to acknowledge the funding agencies, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Brazil), Comissão de Aperfeiçoamento de Pessoal do Ensino Superior (CAPES, Brazil), Fundação do Amparo a Pesquisa de Minas Gerais (FAPEMIG, Brazil), Instituto Nacional de Ciência e Tecnologia (INCT in Dengue), and the European Community’s Seventh Framework Programme (FP7-2007-2013, Timer consortium) under grant agreement HEALTH-F4-2011-281608. MP acknowledges funding from the Wellcome Trust (program 086867/Z/08), the Medical Research Council UK (MR/K013068/1), and the William Harvey Research Foundation

Refined histopathological predictors of BRCA1 and BRCA2 mutation status: A large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia

Introduction: The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling. Methods: Selection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the

Refined histopathological predictors of BRCA1 and BRCA2 mutation status : a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia

Abstract Introduction The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling. Methods Selection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the likelihood of mutation status by histopathological markers were derived using a Mantel-Haenszel approach. Results ER-positive phenotype negatively predicted BRCA1 mutation status, irrespective of grade (LRs from 0.08 to 0.90). ER-negative grade 3 histopathology was more predictive of positive BRCA1 mutation status in women 50 years or older (LR = 4.13 (3.70 to 4.62)) versus younger than 50 years (LR = 3.16 (2.96 to 3.37)). For BRCA2, ER-positive grade 3 phenotype modestly predicted positive mutation status irrespective of age (LR = 1.7-fold), whereas ER-negative grade 3 features modestly predicted positive mutation status at 50 years or older (LR = 1.54 (1.27 to 1.88)). Triple-negative tumor status was highly predictive of BRCA1 mutation status for women younger than 50 years (LR = 3.73 (3.43 to 4.05)) and 50 years or older (LR = 4.41 (3.86 to 5.04)), and modestly predictive of positive BRCA2 mutation status in women 50 years or older (LR = 1.79 (1.42 to 2.24)). Conclusions These results refine likelihood-ratio estimates for predicting BRCA1 and BRCA2 mutation status by using commonly measured histopathological features. Age at diagnosis is an important variable for most analyses, and grade is more informative than ER status for BRCA2 mutation carrier prediction. The estimates will improve BRCA1 and BRCA2 variant classification and inform patient mutation testing and clinical management

DNA Glycosylases Involved in Base Excision Repair May Be Associated with Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

Peer reviewe

Annotonia: Annotations from Browser to TEI

The Willa Cather Archive (WCA) at the University of Nebraska-Lincoln (UNL) is currently working on transcription and annotation of 1500 letters to be released in 2018. As editors will write several thousand annotations, the workflow logistics are complicated. Annotonia1 is a solution developed within the Center for Digital Research in Humanities (CDRH) that allows editors to write annotations directly on letters in a browser and insert those annotations into Text Encoding Initiative (TEI) XML files. Multiple editors review annotations, track letters’ annotation statuses, and generate a new TEI file incorporating the annotations, avoiding having to manually edit each file. Annotonia utilizes both pre-existing, customized open source software and new software developed for this project. This paper describes the difficulties faced, the workflow of Annotonia, and its prospects for future annotation work