RESUMEN
The health implications of urban development, particularly in rapidly changing, low-income urban neighborhoods, are poorly understood. We describe the Healthy Neighborhoods Study (HNS), a Participatory Action Research study examining the relationship between neighborhood change and population health in nine Massachusetts neighborhoods. Baseline data from the HNS survey show that social factors, specifically income insecurity, food insecurity, social support, experiencing discrimination, expecting to move, connectedness to the neighborhood, and local housing construction that participants believed would improve their lives, identified by a network of 45 Resident Researchers exhibited robust associations with self-rated and mental health. Resident-derived insights into relationships between neighborhoods and health may provide a powerful mechanism for residents to drive change in their communities.
Asunto(s)
Estado de Salud , Pobreza/estadística & datos numéricos , Características de la Residencia/estadística & datos numéricos , Cambio Social , Remodelación Urbana , Adolescente , Adulto , Negro o Afroamericano , Anciano , Anciano de 80 o más Años , Boston , Investigación Participativa Basada en la Comunidad , Relaciones Comunidad-Institución , Femenino , Abastecimiento de Alimentos , Hispánicos o Latinos , Humanos , Modelos Lineales , Masculino , Salud Mental , Persona de Mediana Edad , Desarrollo de Programa , Autoinforme , Apoyo Social , Población Urbana , Adulto JovenRESUMEN
This paper describes the sequencing protocol and computational pipeline for the PGV-001 personalized vaccine trial. PGV-001 is a therapeutic peptide vaccine targeting neoantigens identified from patient tumor samples. Peptides are selected by a computational pipeline that identifies mutations from tumor/normal exome sequencing and ranks mutant sequences by a combination of predicted Class I MHC affinity and abundance estimated from tumor RNA. The personalized genomic vaccine (PGV) pipeline is modular and consists of independently usable tools and software libraries. We hope that the functionality of these tools may extend beyond the specifics of the PGV-001 trial and enable other research groups in their own neoantigen investigations.
RESUMEN
UNLABELLED: P: ileup.js is a new browser-based genome viewer. It is designed to facilitate the investigation of evidence for genomic variants within larger web applications. It takes advantage of recent developments in the JavaScript ecosystem to provide a modular, reliable and easily embedded library. AVAILABILITY AND IMPLEMENTATION: The code and documentation for pileup.js is publicly available at https://github.com/hammerlab/pileup.js under the Apache 2.0 license. CONTACT: correspondence@hammerlab.org.