Genomic sequencing offers an unprecedented opportunity to detect inherited variants that are implicated in rare Mendelian disorders, yet there are many challenges to overcome before this technology can routinely be applied in the healthy population. The age-based genomic screening (ABGS) approach is a novel alternative to genome-scale sequencing at birth that aims to provide highly actionable genetic information to parents over the course of their child's routine health care. ABGS utilizes an established metric to identify conditions with high clinical actionability and incorporates information about the age of onset and age of intervention to determine the optimal time to screen for any given condition. Ongoing partnerships with parents and providers are instrumental to the co-creation of educational resources and strategies to address potential implementation barriers. Implementation science frameworks and informative empirical data are used to evaluate strategies to establish this unique clinical application of targeted genomic sequencing. Ultimately, a pilot project conducted in primary care pediatrics clinics will assess patient and implementation outcomes, parent and provider perspectives, and the feasibility of ABGS. A validated, stakeholder-informed, and practical ABGS program will include hundreds of conditions that are actionable during infancy and childhood, setting the stage for a longitudinal implementation that can assess clinical and health economic outcomes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366892PMC
http://dx.doi.org/10.3390/ijns9030036DOI Listing

Publication Analysis

Top Keywords

age-based genomic
8
genomic screening
8
genomic sequencing
8
implementation
5
screening childhood
4
childhood ethical
4
ethical practical
4
practical considerations
4
considerations public
4
public health
4

Similar Publications

Women's preferences for testing to predict breast cancer risk - a discrete choice experiment.

J Transl Med

January 2025

Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Republic of Singapore.

Background: Risk-based breast cancer screening offers a more targeted and potentially cost-effective approach in cancer detection compared to age-based screening. This study aims to understand women's preferences and willingness for undergoing risk assessment tests.

Methods: A discrete choice experiment (DCE) was conducted.

View Article and Find Full Text PDF

Objective: Although seizures are the cardinal feature, epilepsy is associated with other forms of brain dysfunction including impaired cognition, abnormal sleep, and increased risk of developing dementia. We hypothesized that, given the widespread neurologic dysfunction caused by epilepsy, accelerated brain aging would be seen. We measured the sleep-based brain age index (BAI) in a diverse group of patients with epilepsy.

View Article and Find Full Text PDF

Gender- and Age-Based Differences in Nonsyndromic Arteriopathies in Younger Adults.

Am J Cardiol

December 2024

Department of Cardiovascular Medicine, Phoenix, Arizona, 85054; Department of Clinical Genomics, Mayo Clinic, Phoenix, Arizona, 85054.

Aneurysms are often associated with connective tissue disorders, but most occur sporadically and are nonsyndromic. Manifestations of these nonsyndromic arteriopathies across genders and age groups have not been discussed extensively in previous studies, especially in younger cohorts. We analyzed data from 84,496 patients in the Mayo Clinic Tapestry DNA Sequencing Study, excluding those with known vascular syndromes.

View Article and Find Full Text PDF

A methylation panel of 10 CpGs for accurate age inference via stepwise conditional epigenome-wide association study.

Int J Legal Med

December 2024

Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, 11452, Kingdom of Saudi Arabia.

Estimating individual age from DNA methylation at age associated CpG sites may provide key information facilitating forensic investigations. Systematic marker screening and feature selection play a critical role in ensuring the performance of the final prediction model. In the discovery stage, we screened for 811876 CpGs from whole blood of 2664 Chinese individuals ranging from 18 to 83 years of age based on a stepwise conditional epigenome-wide association study (SCEWAS).

View Article and Find Full Text PDF

A review of artificial intelligence-based brain age estimation and its applications for related diseases.

Brief Funct Genomics

January 2025

Department of Neurological Sciences, College of Medicine, University of Nebraska Medical Center, Omaha, NE 68198, United States.

Article Synopsis
  • The study of brain age aims to estimate an individual's age based on brain scans, ideally aligning the predicted brain age with their chronological age for healthy people, but disease can alter this relationship.
  • The difference between brain age and chronological age, known as the brain age gap (BAG), may serve as a useful biomarker for assessing brain health and identifying potential cognitive decline or disorders.
  • Recent advancements in machine learning techniques are being applied to brain age estimation (BAE) studies, but there are still limitations and challenges that researchers need to address.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!