Biobanks are huge for biomedical research, but they aren't optimized for conditions like stuttering or other communication conditions.
Closing this data gap requires innovative methods and better prospective data collection to unlock their full potential.
#StutteringResearch
Converging etiological evidence supports a genetic risk for developmental stuttering. Authors here present an overview of data sources & strategies that research teams have utilized, highlighting the advantages & limitations of each approach. #OpenAccess
https://t.co/OvugE5HM6y
Honored to share our work on stuttering comorbidities and genetic associations alongside Dr. Shelly Jo Kraft at the NSA conference. Already looking forward to next year in St. Louis!
#stuttering#NSAConference@piperbelow @VUMCgenetics @VUMCHearSpeech
Check out @DillonGPruett's poster (9022L): "Sex-Stratified Genetic and Comorbidity Analysis of Stuttering Using DNA Biobank and 23andMe Data" on Thursday, November 17 @ 10:30 AM - 12:00 PM (Location: CC/Hall B1, screen 154) 🤩
Check out @DillonGPruett's poster (9022L): "Sex-Stratified Genetic and Comorbidity Analysis of Stuttering Using DNA Biobank and 23andMe Data" on Thursday, November 17 @ 10:30 AM - 12:00 PM (Location: CC/Hall B1, screen 154) 🤩
I’m excited to share key discoveries of the genetic basis of stuttering on behalf of our research team at #ASHG2022! Stop by our poster (PB1512) today from 3-4:45pm to learn more.
@alyssascartozzi@piperbelow@23andMeResearch @VUMCgenetics @VUMCHearSpeech
Living vicariously through #PhD candidate @DillonGPruett and his recent conference presentation at the International Genetic Epidemiology Society 2022 Annual Meeting in Paris, France 🇫🇷 The research and the sites are 😍😍 1/3
@ruthie_johnson Very interesting paper! We used a similar approach to predict under-documented cases of stuttering within the Vanderbilt EHR using associated comorbidities. The algorithm had a positive predictive value of 83% and was used to increase sample size for a stuttering GWAS
We are LOVING the views from #PhD candidate @DillonGPruett!😍😍 He presented his work characterizing #stuttering comorbidities in the @VUMChealth electronic health records in prepartion for a genome-wide association study at the Molecular Psychiatry Association conference in Maui
Huge week for the Below Lab- our papers on genetic risk of developmental stuttering published back to back in issues of AJHG and HGG Advances. In the long thread below (hey it's TWO papers!), I'll summarize! https://t.co/RZjvHrHaV1 https://t.co/xZEbtK2M75 https://t.co/RZjvHrHaV1
Congrats @DMRuderfer + team! The ability to distinguish clinically relevant patterns within the constellation of diagnostic codes in the electronic health record is such an exciting frontier in genetic medicine. @VUMChealth @VUMCgenetics at the forefront of EHR+BioBank innovation
Not every trait is well captured in electronic health records, limiting research that can be done. Speech and language traits are especially underreported. @DillonGPruett and my team used machine learning and comorbidity structure to impute stuttering in @VUMChealth's EHR.