The Power of Partnership: Democratizing Genetic Prevalence to Empower Patient Advocacy
Baxter, S. M.; Singer-Berk, M.; Glaze, C.; Russell, K.; Grant, R. H.; Groopman, E.; Lee, J.; Watts, N.; Wood, J. C.; Wilson, M.; Rare As One Network, ; Rehm, H. L.; O'Donnell-Luria, A.
Show abstract
Introduction: Accurate estimation of disease prevalence is crucial for public health and therapeutic development, but traditional methods are often inaccurate. Genetic prevalence, which estimates the proportion of a population with a causal genotype, using allele frequencies from population data, offers an important alternative. Methods: We partnered with 18 Rare As One patient organizations to estimate genetic prevalence for 22 autosomal recessive conditions using population data from two releases of the Genome Aggregation Database (gnomAD). To standardize and democratize these analyses, we developed the Genetic Prevalence Estimator (GeniE), a publicly available tool, for accessible calculations. Results: Conservative carrier frequencies in gnomAD v4.1 ranged from 1/164 to 1/11,888. The median change in genetic prevalence frequency between v2.1 to v4.1 was 0.806. Partnership with patient advocacy groups provided critical real-world context that refined the interpretation of these estimates. Discussion: These findings highlight that genetic prevalence is not a static figure but a dynamic, evolving measure with important caveats that need to be considered. Our study underscores the necessity of re-evaluations as databases expand. By integrating patient-partnered insights with the GeniE platform, we empower the genomics community to maintain transparent, up-to-date, and actionable data for rare disease advocacy and drug development.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Assessment of the variant prioritisation strategy for genomic newborn screening in the Generation Study 97%
- A gene pathogenicity tool 'GenePy' identifies missed biallelic diagnoses in the 100,000 Genomes Project 96%
- Towards robust clinical genome interpretation: developing a consistent terminology to characterize disease-gene relationships - allelic requirement, inheritance modes and disease mechanisms 96%
Similar papers in this journal
- Extracting and calibrating evidence of variant pathogenicity from population biobank data 95%
- Exome copy number variant detection, analysis and classification in a large cohort of families with undiagnosed rare genetic disease 95%
- Identification of actionable genetic variants in 4,198 Scottish volunteers from the Viking Genes research cohort and implementation of return of results 94%
Similar papers in this journal
- Long-read genome sequencing for the diagnosis of neurodevelopmental disorders 93%
- IMPROVE-DD: Integrating Multiple Phenotype Resources Optimises Variant Evaluation in genetically determined Developmental Disorders 93%
- Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53 93%
Similar papers in this journal
- Re-evaluation and Re-analysis of 152 research exomes five years after the initial report reveals clinically relevant changes in 20% 95%
- Polycomb-associated and Trithorax-associated developmental conditions – phenotypic convergence and heterogeneity 93%
- BCL11A intellectual developmental disorder: defining the clinical spectrum and genotype-phenotype correlations 92%
Similar papers in this journal
- Targeting de novo loss of function variants in constrained disease genes improves diagnostic rates in the 100,000 Genomes Project 97%
- The MorbidGenes panel: a monthly updated list of diagnostically relevant rare disease genes derived from diverse sources 95%
- Horizon: CNV interpretation through rapid automated ACMG-aligned pathogenicity analysis 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.