PubMed HealthSearch

PubMed · 40847711

BRCA genetic testing utilization and expenditures among privately insured adults in the United States, 2013 to 2022.

Abstract

PURPOSE: Recent clinical guidelines have broadened the criteria for BRCA counseling and testing for women and men, including indications based on family history, personal history, and current diagnosis of breast, ovarian, pancreatic, and prostate cancer. METHODS: Using claims data from 2013 to 2022, we identified BRCA testing using procedure codes to evaluate annual utilization, median expenditures per enrollee, and the percentage of 0 out-of-pocket expenditures by sex among enrollees aged 18 to 64 years who were continuously enrolled within calendar years. We examined BRCA utilization by metropolitan status and indications. RESULTS: Annual BRCA testing utilization among women (and men) increased 10.2% (44.5%) per year during 2014 to 2015 and 1.7% (10.0%) per year during 2016 to 2019, decreased 34.4% (44.8%) in 2020, and rebounded 8.5% (22.3%) per year during 2021 to 2022, remaining below prepandemic levels in 2022. Median expenditures for comprehensive BRCA testing per enrollee decreased by 68% from 2013 to 2022, most of whom had 0 out-of-pocket expenditures. Most BRCA testing was done based on family health history of breast, ovarian, or prostate cancer and among women aged 18 to 50 years. CONCLUSION: Health care providers who are knowledgeable about evolving indications for germline BRCA testing can help ensure that eligible individuals have access to germline BRCA testing as preventive service.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Lu Shi, Katherine Kolor, Zhuo Chen, Christine Y Lu, Juan Rodriguez, Muin J Khoury, Scott D Grosse. 2025-08-19. BRCA genetic testing utilization and expenditures among privately insured adults in the United States, 2013 to 2022.. https://doi.org/10.1016/j.gim.2025.101556

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans