Food-Related Quality of Life Is Impaired in Latinx and Non-Latinx Patients With Inflammatory Bowel Disease.

Background And Aims: Anxiety over food choices and symptoms related to food consumption diminish quality of life (QoL) in inflammatory bowel disease (IBD) patients. However, the specific factors that impact QoL among IBD patients remain unclear. In this study, we analyzed the relationships of demographic and disease factors with food-related QoL (FRQoL) in a large, diverse US cohort of IBD patients.

Ancestral Diversity in Pharmacogenomics Affects Treatment for Hispanic/Latine Populations With Inflammatory Bowel Disease.

Background And Aims: The prevalence of inflammatory bowel disease among Hispanic/Latine communities is increasing. Pharmacogenomic studies reveal genetic markers that influence treatment decisions. The aim of our study was to examine the frequency and impact of genetic polymorphisms on thiopurine-associated leukopenia (NUDT15, TPMT) and anti-tumor necrosis factor (TNF) immunogenicity (HLA-DQA1∗05) in a cohort of Hispanic patients of diverse ancestral backgrounds.

Searching for the optimal data partitioning strategy in mitochondrial phylogenomics: a phylogeny of Acridoidea (Insecta: Orthoptera: Caelifera) as a case study.

One of the main challenges in analyzing multi-locus phylogenomic data is to find an optimal data partitioning strategy to account for variable evolutionary histories of different loci for any given dataset. Although a number of studies have addressed the issue of data partitioning in a Bayesian phylogenetic framework, such studies in a maximum likelihood framework are comparatively lacking. Furthermore, a rigorous statistical exploration of possible data partitioning schemes has not been applied to mitochondrial genome (mtgenome) data, which provide a complex, but manageable platform for addressing various challenges in analyzing phylogenomic data.