BugSigDB captures patterns of differential abundance across a broad range of host-associated microbial signatures.

The literature of human and other host-associated microbiome studies is expanding rapidly, but systematic comparisons among published results of host-associated microbiome signatures of differential abundance remain difficult. We present BugSigDB, a community-editable database of manually curated microbial signatures from published differential abundance studies accompanied by information on study geography, health outcomes, host body site and experimental, epidemiological and statistical methods using controlled vocabulary. The initial release of the database contains >2,500 manually curated signatures from >600 published studies on three host species, enabling high-throughput analysis of signature similarity, taxon enrichment, co-occurrence and coexclusion and consensus signatures.

Impact of the Affordable Health Care Act (ACA) on Racial/Ethnic Inequities in Access to and Utilization of Healthcare in New York City.

The Affordable Care Act (ACA) expanded health insurance coverage in the USA, but whether it increased healthcare utilization or reduced racial/ethnic inequities in access to and utilization of care is unclear. We evaluated the ACA impact on health insurance coverage, unmet medical need, and having a personal doctor and whether this impact was modified by racial/ethnic identity among New York City (NYC) residents. We used data from multiple years of the Community Health Survey (2009-2017) and used logistic regression to assess whether having health insurance, unmet medical need, or a personal doctor varied pre- (2009-2012) versus post-ACA (2013-2017), adjusting for age, sex, nativity status, and general health.

Reporting guidelines for human microbiome research: the STORMS checklist.

The particularly interdisciplinary nature of human microbiome research makes the organization and reporting of results spanning epidemiology, biology, bioinformatics, translational medicine and statistics a challenge. Commonly used reporting guidelines for observational or genetic epidemiology studies lack key features specific to microbiome studies. Therefore, a multidisciplinary group of microbiome epidemiology researchers adapted guidelines for observational and genetic studies to culture-independent human microbiome studies, and also developed new reporting elements for laboratory, bioinformatics and statistical analyses tailored to microbiome studies.