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推进罕见病研究中的公平性:来自未确诊疾病网络的见解。

Advancing Equity in Rare Disease Research: Insights From the Undiagnosed Disease Network.

作者信息

Borja Nicholas A, Tinker Rory J, Bivona Stephanie A, Smith Carson A, Locker Theodore Krijnse, Fernandes Samuela, Phillips John A, Stoler Justin, Taylor Herman, Zuchner Stephan, Tekin Mustafa

机构信息

John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, Florida, USA.

Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

出版信息

Am J Med Genet A. 2025 Feb;197(2):e63904. doi: 10.1002/ajmg.a.63904. Epub 2024 Oct 14.

Abstract

Rare diseases affect 6%-8% of the population and present diagnostic challenges, particularly for historically marginalized ethnic and racial groups. The Undiagnosed Diseases Network (UDN) aims to enhance diagnosis rates and research participation among such minoritized groups. A retrospective review was conducted from 2015 to 2023, analyzing 2235 UDN participants to evaluate its progress toward this objective. Data on demographics, disease phenotypes, diagnostic outcomes, and socioeconomic factors were collected and statistical analyses assessed differences among ethnic and racial groups. This demonstrated that Hispanic and Black non-Hispanic groups were underrepresented, while White non-Hispanic participants were overrepresented in the UDN compared to the US population. Individuals whose primary language was not English were also significantly underrepresented. Diagnosis rates varied, with the highest rates among Asian non-Hispanic (39.5%) and Hispanic (35.3%) groups and the lowest rate in the White non-Hispanic group (26.8%) (p < 0.001). Binomial logistic regression found, however, that only participant age and disease phenotype predicted the likelihood of receiving a diagnosis (p < 0.001). Persistent ethnic and racial disparities in UDN participation appear to be associated with major differences in application rates. Under-enrollment of historically marginalized ethnic and racial groups may be due to economic hardships and language barriers. No differences in the diagnostic yield among ethnic and racial groups were observed after controlling for other factors. This work highlights the value of comprehensive genetic evaluations for addressing healthcare disparities and suggests priorities for advancing inclusion in rare disease research.

摘要

罕见病影响着6%-8%的人口,带来了诊断方面的挑战,尤其是对历史上处于边缘化的族裔和种族群体而言。未确诊疾病网络(UDN)旨在提高这些少数群体的诊断率并促进他们参与研究。我们进行了一项回顾性研究,时间跨度为2015年至2023年,分析了2235名UDN参与者,以评估其在实现这一目标方面的进展。收集了人口统计学、疾病表型、诊断结果和社会经济因素的数据,并通过统计分析评估了不同族裔和种族群体之间的差异。结果表明,西班牙裔和非西班牙裔黑人在UDN中的代表性不足,而与美国人口相比,非西班牙裔白人参与者在UDN中的代表性过高。母语不是英语的个体代表性也明显不足。诊断率各不相同,非西班牙裔亚裔(39.5%)和西班牙裔(35.3%)群体的诊断率最高,非西班牙裔白人组的诊断率最低(26.8%)(p<0.001)。然而,二项逻辑回归发现,只有参与者年龄和疾病表型能预测获得诊断的可能性(p<0.001)。UDN参与中持续存在的族裔和种族差异似乎与申请率的重大差异有关。历史上处于边缘化的族裔和种族群体参与人数不足可能是由于经济困难和语言障碍。在控制其他因素后,未观察到不同族裔和种族群体在诊断成功率上存在差异。这项工作凸显了全面基因评估在解决医疗保健差距方面的价值,并提出了推进罕见病研究包容性的优先事项。

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