Advancing Understanding of Inequities in Rare Disease Genomics
Open accessPublished version of a preprint
Abstract
Purpose Advances in genomic research have facilitated rare disease diagnosis for thousands of individuals. Unfortunately, the benefits of advanced genetic diagnostic technology are not distributed equitably among the population, as has been seen in many other health care contexts. Quantifying and describing inequities in genetic diagnostic yield is inherently challenging due to barriers to both clinical and research genetic testing. We therefore present an implementation protocol developed to expand access to our rare disease genomic research study and to further understand existing inequities.Methods and findings The Rare Genomes Project (RGP) at the Broad Institute of MIT and Harvard offers research genome sequencing to individuals with rare disease who remain genetically undiagnosed through direct interaction with the individual or family. This presents an opportunity for diagnosis beyond the clinical context, thus eliminating many barriers to access. An initial goal of RGP was to equalize access to genomic sequencing by decoupling testing access from proximity to a major medical center and physician referral. However, study participants over the initial 3 years of this project were predominantly white and well resourced. To further understand and address the lack of diversity within RGP, we developed a novel protocol embedded within the larger RGP study, in an approach informed by an implementation science framework. The aims of this protocol were: (1) to diversify recruitment and enrollment within RGP; (2) understand the process and context of implementing genomic medicine for rare disease diagnosis; and (3) investigate the value of a diagnosis for underserved populations.Implications Improved understanding of existing inequities and potential strategies to address them are needed to advance equity in rare disease genetic diagnosis and research. In addition to the moral imperative of equity in genomic medicine, this approach is critical in order to fully understand the genomic underpinnings of rare disease.
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Timely diagnosis of rare diseases has always been challenged by a lack of high-quality medical resources in many regions of the world.
“Timely diagnosis of rare diseases has always been challenged by a lack of high-quality medical resources in many regions of the world”
From Enhancing diagnostic capability with multi-agents conversational large language models (2025) · cites this paper as [8]
The Introduction (page unavailable) says limited access to health care can prevent genetic evaluation and may lengthen time to diagnosis. The Abstract (page unavailable) also identifies proximity to a major medical center as an access barrier. The paper does not establish that a lack of high-quality medical resources has always impeded timely rare-disease diagnosis across many regions of the world. (LLM, conf=0.84)
Experimental — accuracy not yet measuredDelays in diagnosis lead to delays in treatment and poor prognosis.
“delays in diagnosis lead to delays in treatment and poor prognosis7,8.”
From Enhancing diagnostic capability with multi-agents conversational large language models (2025) · cites this paper as [8]
The Introduction (page not available in our copy) says barriers to genetic evaluation may result in a longer time to diagnosis. The paper does not say that diagnostic delays cause treatment delays or poor prognosis; its survey lists “better treatment” as a potential benefit of diagnosis, not an observed consequence of delay. (LLM, conf=0.81)
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Enhancing diagnostic capability with multi-agents conversational large language models
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- Authors
- Serrano, J. G., O'Leary, M., VanNoy, G. E., Mangilog, B. E., Holm, I. A., Fraiman, Y. S., Rehm, H. L., O'Donnell-Luria, A., & Wojcik, M. H.
- Affiliations
- Broad Institute (US)
- Boston Children's Hospital (US)
- Corresponding author
- Wojcik, Monica H.
- ORCID
- Venue
- Clinical Therapeutics
- Publisher
- Elsevier BV
- Published
- 2023-08
- Volume
- 45
- Issue
- 8
- Pages
- 745-753
- ISSN
- 0149-2918 (ISSN-L)
- PMC
- PMC10527807
- OpenAlex
- W4385336967
- Cited by
- 25
- References
- 37
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 8 · 2023: 2
- FWCI
- 4.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 396 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Clinical Therapeutics (acceptedVersion)
- medRxiv (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- PubMed Central (submittedVersion)
- Funders
- Silicon Valley Community Foundation
- Chan Zuckerberg Initiative (2020-224274)
- National Institutes of Health
- National Human Genome Research Institute (R21HG012397, U01HG011755)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
- Keywords
- rare diseases, genomic medicine, health equity, genetic diagnosis, underserved populations, implementation science, genome sequencing
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