posted on 2025-10-17, 20:53authored byDillon G. Pruett, Alyssa Scartozzi, Hannah G. Polikowsky, Heather M. Highland, Doug M. Shaw, Lauren E. Petty, Alex S. Petty, Shelly Jo Kraft, Jennifer E. Below
<p dir="ltr"><b>Purpose:</b> Converging etiological evidence supports a genetic risk for developmental stuttering; however, major gaps detailing the genetic architecture remain. Technological advances in genetics have allowed us to explore novel approaches to analyzing this complex trait, but conducting robust and replicable genetic studies requires large, well-phenotyped cohorts of subjects. This article reviews previous research strategies employed to overcome these challenges in identifying genetic variants associated with stuttering and translating stuttering-associated variants into molecular and cellular mechanisms.</p><p dir="ltr"><b>Method: </b>We present an overview of data sources and strategies research teams have utilized for the genetic study of stuttering, highlighting the advantages and limitations of each approach. Primary data sources include (a) the International Stuttering Project, (b) the National Longitudinal Study of Adolescent to Adult Health, (c) BioVU, and (d) 23andMe, Inc. In addition to genome-wide association studies (GWASs), we review multiple post-GWAS follow-up analyses to probe the functional impact of stuttering-associated genetic variants and offer new transcriptome-wide analyses.</p><p dir="ltr"><b>Results: </b>To date, a diverse array of approaches has resulted in the identification of over 50 stuttering-associated genes. Many genetic associations were near or within genes previously linked to known neurological traits, highlighting a neurological role in stuttering. Additionally, validation studies using polygenic risk scores suggested a high level of genetic concordance between our samples. Functional follow-up studies suggest stuttering-associated variants may affect gene expression in tissues relevant to speech-related structures and neural correlates.</p><p dir="ltr"><b>Conclusions:</b> While understanding how specific regions of the genome contribute to stuttering risk remains complex, research from our team and others has utilized a variety of data sources in an attempt to overcome previous limitations in the identification of genetic variation associated with stuttering. As the field of genetics evolves toward large-scale biobanks for research and discovery, prioritizing inclusion of traits such as stuttering will be key.</p><p dir="ltr"><b>Supplemental Material S1. </b>Transcriptome-wide association results for the International Stuttering Project.</p><p dir="ltr">Pruett, D. G., Scartozzi, A. C., Polikowsky, H. G., Highland, H. M., Shaw, D. M., Petty, L. E., Petty, A. S., Kraft, S. J., & Below, J. E. (2025). Challenges and opportunities in characterizing the genetics of stuttering: From sample acquisition to functional interpretation of the genome. <i>Journal of Speech, Language, and Hearing Research,</i><i> </i><i>68</i>(11), 5137–5157. <a href="https://doi.org/10.1044/2025_JSLHR-25-00093" rel="noreferrer" target="_blank">https://doi.org/10.1044/2025_JSLHR-25-00093</a></p>
Funding
This article is part of the 2024 Research Symposium at the American Speech-Language-Hearing Association Convention, which was supported by the National Institute on Deafness and Other Communication Disorders (NIDCD) under Award R13DC003383. This work was also supported by National Institutes of Health (NIH) grants from the NIDCD to Vanderbilt University Medical Center and Wayne State University (1R03DC015329 and R01DC017175) and to Vanderbilt University Medical Center (5R21DC016723 and R01DC020311). The control samples used for the described clinical genome-wide association studies were obtained from Vanderbilt University Medical Center’s BioVU, which is supported by numerous sources: institutional funding, private agencies, and federal grants. These include the NIH-funded Shared Instrumentation Grant S10RR025141 and Clinical and Translational Science Awards Program Grants UL1TR002243, UL1TR000445, and UL1RR024975. Genomic data are also supported by investigator-led projects that include Grants U01HG004798, R01NS032830, RC2GM092618, P50GM115305, U01HG006378, U19HL065962, and R01HD074711 and additional funding sources listed at the BioVU Funding Acknowledgment (see https://victr.vumc.org/biovu-funding/). Other funding sources include the National Center for Advancing Translational Sciences of the NIH under Award TL1TR002244 and the NIDCD under Award F31DC022482. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.