GeneDx to Showcase Pioneering Research Findings at American Society of Human Genetics (ASHG) Annual Meeting
With unmatched scale and diversity, GeneDx Infinity™ powers scientific discovery while enabling the most precise clinical rare disease diagnoses for patients and families today
At ASHG,
Throughout the week at ASHG,
Unlocking new discoveries and shortening the diagnostic odyssey with GeneDx Infinity:
- GeneDx Infinity is driving genomic discovery and diagnostic utility, leveraging large-scale exome and genome sequencing data to identify novel disease-associated genes, enhance gene-disease curation, and improve variant detection for complex conditions like intellectual disability, congenital heart disease, and hearing loss, while also demonstrating high concordance with traditional methods for CNV detection.
AI and machine learning approaches uncovering the genetic basis of rare diseases:
- GeneDx’s advanced machine learning techniques are accelerating novel gene discovery and streamlining variant classification at scale, enabling accurate and rapid diagnoses and offering new insight into gene–disease associations.
The genetic causes of autism:
- In a study of over 62,000 individuals affected with autism, researchers highlighted a core set of genes associated with autism and found moderate genetic correlations between autism and schizophrenia, epilepsy, and bipolar disorder.
Delivering earlier diagnoses with genomic newborn screening (gNBS):
- Updated results from the GUARDIAN study reports data from 15,000 newborns and demonstrates high enrollment rates, positive parental experiences, and meaningful follow-up outcomes – reinforcing the value of gNBS in accelerating time to diagnosis.
Clinical validation for long read sequencing:
- Long-read sequencing approaches demonstrate strong potential to improve clinical diagnostics, accurately detecting repeat expansions, resolving difficult-to-sequence regions, and benchmarking against short-read pipelines in critically ill newborns, offering foundational data for the potential implementation of long-read platforms in high-throughput clinical laboratories in the future.
Platform Presentations:
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Thursday, October 16 ,8:30-10:00 am ET : GUARDIAN Expanded NBS Study: Short- and Medium-Term Follow-Up with the First 15,000 Participants Enrolled.Brenna Boyd , MS, CGC (Columbia University Irving Medical Center ) -
Thursday, October 16 ,1:30-2:30 pm ET : Shared and distinct genetic architectures of autism and neuropsychiatric disorders.Jack Fu , PhD (Massachusetts General Hospital )
Posters:
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Beyond panels: the superior diagnostic utility of exome/genome sequencing in hearing loss
Bobbi McGivern , MS, LCGC (GeneDx ) – Poster 7012W -
Benchmarking long-read variant sensitivity across ONT and PacBio platforms using known clinically reported variants in a cohort of critically ill newborns
Colby T. Marvin (University of Washington ) - Poster 4071F -
The clinical impact of a framework for validating gene-disease associations in a high-throughput clinical laboratory
Maria Guillen Sacoto , MD, FACMG (GeneDx ) - Poster 2057F -
Copy Number Variant Detection by Exome or Genome Sequencing Is Highly Concordant with Chromosomal Microarray
Sarah Poll , PhD (GeneDx ) - Poster 8009F -
Concordance of results from Cas9-Targeted Sequencing and LR-WGS with Results from Validated Clinical Methods for the diagnosis of Repeat Expansion Disorders
Jessica Noya , MS (GeneDx and PacBio) - Poster 8026T -
Resolution of the D4Z4 repeat responsible for facioscapulohumeral muscular dystrophy with HiFi sequencing
Xiao Chen , PhD (PacBio) - Poster 4104F -
Gene-based burden testing of rare variants identifies established and novel genetic contributors to Intellectual Disability Thorhildur Juliusdottir, PhD (
GeneDx ) - Poster 9147W -
SeqFirst: The value of a “sequencing first” approach: qualitative interviews with SeqFirst families
Mike Bamshad , MD andOlivia Sommerland , MPH (University of Washington ) - Poster 3026F -
A machine learning approach for identifying de novo variants with high accuracy in a high-throughput genomic testing laboratory
Robert Kueffner , PhD (GeneDx ) - Poster 5049F -
Large-scale WES integrating research and clinical genetic testing cohorts identifies novel risk genes for congenital heart disease
Wendy Chung , MD, PhD andWenxing Li , MS, PhD (Columbia University Irving Medical Center ) - Poster 9116W -
Machine Learning Approach Identifies Genes with Rare Variants Predisposing to Thoracic Aortic Aneurysms and Acute Aortic Dissections
David R. Murdock , MD and Dong-chuan Guo, MS, PhD (University of Texas Health Science Center at Houston ) - Poster 5010W -
Using GORdb to leverage large scale genotype and phenotype data to confirm and explore new gene disease associations
Hildur Olafsdottir , PhD (GeneDx ) - Poster 2056F
Additional CoLab Industry Sessions:
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Wednesday, October 15 ,12:00-1:00pm ET : Redefining the limits of what’s possible: Sequencing reimagined. Speakers:Steve Barnard , PhD (Illumina),Joe Devaney , PhD (GeneDx ),Bekim Sadikovic , PhD (London Health Sciences Centre Research Institute ) -
Wednesday, October 15 ,3:15-3:45pm ET : HiFi sequencing at scale: Targeted native DNA sequencing with PureTarget.Sarah Kingan , PhD (PacBio),Keith Nykamp , PhD (GeneDx ),Zach Freeman , PhD (University of Michigan ) -
Thursday, October 16 ,3:15-3:45pm ET : Accurate and Scalable WGS variant prioritization for phenotype-free newborn screening (NBS) withGEM AI .Mark Yandell , PhD (University of Utah ) andSamuel Strom , PhD, FACMG (Fabric Genomics)
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