The nicotine metabolite ratio (NMR; 3'hydroxycotinine/cotinine) is a stable biomarker for CYP2A6 enzyme activity and nicotine clearance, with demonstrated clinical utility in personalizing smoking cessation treatment. Common genetic variation in the CYP2A6 region is strongly associated with NMR in smokers. Here, we investigated this regional association in more detail. We evaluated the association of CYP2A6 single-nucleotide polymorphisms (SNPs) and * alleles with NMR among African American smokers (N = 953) from two clinical trials of smoking cessation. Stepwise conditional analysis and Bayesian fine-mapping were undertaken. Putative causal variants were incorporated into an existing African ancestry-specific genetic risk score (GRS) for NMR, and the performance of the updated GRS was evaluated in both African American (n = 953) and European ancestry smokers (n = 933) from these clinical trials. Five independent associations with NMR in the CYP2A6 region were identified using stepwise conditional analysis, including the deletion variant CYP2A6*4 (beta = -0.90, p = 1.55 × 10). Six putative causal variants were identified using Bayesian fine-mapping (posterior probability, PP = 0.67), with the top causal configuration including CYP2A6*4, rs116670633, CYP2A6*9, rs28399451, rs8192720, and rs10853742 (PP = 0.09). Incorporating these putative causal variants into an existing ancestry-specific GRS resulted in comparable prediction of NMR within African American smokers, and improved trans-ancestry portability of the GRS to European smokers. Our findings suggest that both * alleles and SNPs underlie the association of the CYP2A6 region with NMR among African American smokers, identify a shortlist of variants that may causally influence nicotine clearance, and suggest that portability of GRSs across populations can be improved through inclusion of putative causal variants.
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http://dx.doi.org/10.1038/s41380-024-02703-5 | DOI Listing |
AIDS
January 2025
Center for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA.
Objectives: To predict the burden of HIV in the United States (US) nationally and by region, transmission type, and race/ethnicity through 2030.
Methods: Using publicly available data from the CDC NCHHSTP AtlasPlus dashboard, we generated 11-year prospective forecasts of incident HIV diagnoses nationally and by region (South, non-South), race/ethnicity (White, Hispanic/Latino, Black/African American), and transmission type (Injection-Drug Use, Male-to-Male Sexual Contact (MMSC), and Heterosexual Contact (HSC)). We employed weighted (W) and unweighted (UW) n-sub-epidemic ensemble models, calibrated using 12 years of historical data (2008-2019), and forecasted trends for 2020-2030.
Ann Emerg Med
January 2025
Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN; Center for Health Services Research, The William M. Tierney Center for Health Services Research, Regenstrief Institute, Indianapolis, IN.
Study Objective: Patient experience is an essential measure of patient-centered emergency care. However, emergency department (ED) patient experience scores may be influenced by patient demographics as well as clinical and operational characteristics unrelated to actual patient-centeredness of care. This study aimed to determine whether there are characteristics associated with patient experience scores that have not yet been proposed for risk adjustment by the Centers for Medicare and Medicaid Services (CMS).
View Article and Find Full Text PDFJCO Clin Cancer Inform
November 2024
College of Computing and Informatics, Drexel University, Philadelphia, PA.
Purpose: Machine learning algorithms are used for predictive modeling in medicine, but studies often do not evaluate or report on the potential biases of the models. Our purpose was to develop clinical prediction models for readmission after surgery in colorectal cancer (CRC) patients and to examine their potential for racial bias.
Methods: We used the 2012-2020 American College of Surgeons' National Surgical Quality Improvement Program (ACS-NSQIP) Participant Use File and Targeted Colectomy File.
Alcohol Res
January 2025
Prevention Research Center, Pacific Institute for Research and Evaluation, Berkeley, California.
Purpose: Sociocultural characteristics, including race/ethnicity and socioeconomic status (SES), may affect individuals' attitudes and norms regarding alcohol use and treatment as well as their access to emerging health knowledge, innovative technologies, and general resources for improving health. As a result of these differences, as well as social determinants of health such as stigma and uneven enforcement, alcohol policies may not benefit all population subgroups equally. This review addresses research conducted within the last decade that examined differential effects of alcohol policies on alcohol consumption, alcohol harm, and alcohol treatment admissions across racial/ethnic and socioeconomic groups.
View Article and Find Full Text PDFObjective: Black families are less likely to continue in pediatric weight management programs (PWMPs) and have less optimal outcomes. Few studies have examined how parenting practices and perceived support influence Black children's retention and weight loss in PWMPs.
Method: To fill this gap, this study sampled Black children and their parent ( = 49) who were participating in a Midwest PWMP to explore how children's reports of parental support and parenting practices at program initiation associate with early weight loss 3- and 6-month and retention at 6-month in the PWMP.
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