PubMed HealthSearch

PubMed · 41537735

Adult outcomes of clinically relevant genomic disorders: A systematic review and meta-analysis.

Abstract

PURPOSE: Genomic disorders comprise a major source of human disease with survival into adulthood for most individuals, but data on adult outcomes are limited. METHODS: We conducted a formal search to identify studies of 14 clinically relevant, molecularly confirmed deletion syndromes with &#x2265;5 adults reporting on prevalence of cardiovascular risk and other outcomes. Outcomes were pooled across deletion syndromes and by syndrome, using random-effects models. RESULTS: Of 1352 studies screened, 53 reported on nonoverlapping samples of 13 deletion syndromes. Estimated pooled prevalences, at age <30-40 for most, included 47% (95% CI 33-57%; n = 2076) for obesity, and for 10 deletion syndromes: diabetes 24% (95% CI 17-33%; n = 1739), hypertension 36% (95% CI 28-33%; n = 1314), and dyslipidemia 29% (95% CI 22-36%; n = 1127). High heterogeneity for each outcome was partly explained by a significant subgroup effect of individual syndrome. The few available mortality studies indicated premature mortality. CONCLUSION: Pooled results suggest that, although there may be elevated prevalence of adult cardiovascular risk conditions, high heterogeneity indicates caution when considering rare deletion syndromes collectively. The paucity of data extending into later adulthood and using age-matched control comparisons supports the need for prospective studies of large, well-phenotyped cohorts to inform adult penetrance of treatable medical diseases in this emerging group of young adults.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Sarah L Malecki, David DArienzo, Erica Wennberg, Emily Ana Butler, Nimit Vediya, Manav V Vyas, Vanda McNiven, Jessie Cunningham, Therese A Stukel, Amol A Verma, Eyal Cohen, Anne S Bassett. 2026-01-15. Adult outcomes of clinically relevant genomic disorders: A systematic review and meta-analysis.. https://doi.org/10.1016/j.gim.2025.101632

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