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RESEARCH PAPER / 2025-11-15

Genome-wide profiling of short tandem repeat somatic instability reveals associations with age, sex and brain-related traits

Hu, J., Mantey, R., Guo, H., Sidky, A. M., Touhidinia, M., Butt, T., Sobhani, R., Estrada, S., Haendler, K., Zhao, S., Shang, X., De Domenico, E., Beyer, M. D., Breteler, M. M. B., Aziz, N. A.

German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, Institute for Medical Biometry, Informatics and Epidemiology (IMBIE) & Department of Neurol · medrxiv

Abstract

Short tandem repeats (STRs) are highly abundant in the human genome and their age-related somatic instability is emerging as a pivotal pathomechanism in repeat expansion disorders. Nevertheless, currently no analysis tool exists for genome-wide profiling of STR somatic instability. Here, we present searchSTR, a novel computational framework that enables accurate STR genotyping and somatic instability quantification from both whole-genome and targeted sequencing data. Applying this approach, we analyzed STR variants from whole-genome sequencing data of the 1000 Genomes Project (n=3,202) and targeted deep-sequencing data of the population-based Rhineland Study (n=2,974). We provide a comprehensive multiancestry genome-wide reference panel of STR variants and their somatic instability, covering more than 1.4 million STRs across 26 populations. Remarkably, STR somatic instability at many loci was robustly associated with age, sex, brain morphology and markers of neurodegeneration. These findings reveal a crucial role for STR somatic instability as an age-dependent modifier of brain structure.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper claims that STR somatic instability is associated with age, sex, and brain-related traits, suggesting a role in age-dependent modifications of brain structure. This research is relevant as it explores the mechanisms of somatic instability in relation to aging and its potential implications for understanding age-related neurodegenerative processes.

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