Nicholas A Borja, Rory J Tinker, Stephanie A Bivona, Carson A Smith, Theodore Krijnse Locker, Samuela Fernandes, John A Phillips, Justin Stoler, Herman Taylor, Stephan Zuchner, Mustafa Tekin
{"title":"促进罕见病研究的公平性:未确诊疾病网络的洞察力。","authors":"Nicholas A Borja, Rory J Tinker, Stephanie A Bivona, Carson A Smith, Theodore Krijnse Locker, Samuela Fernandes, John A Phillips, Justin Stoler, Herman Taylor, Stephan Zuchner, Mustafa Tekin","doi":"10.1002/ajmg.a.63904","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":7507,"journal":{"name":"American Journal of Medical Genetics Part A","volume":" ","pages":"e63904"},"PeriodicalIF":1.7000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing Equity in Rare Disease Research: Insights From the Undiagnosed Disease Network.\",\"authors\":\"Nicholas A Borja, Rory J Tinker, Stephanie A Bivona, Carson A Smith, Theodore Krijnse Locker, Samuela Fernandes, John A Phillips, Justin Stoler, Herman Taylor, Stephan Zuchner, Mustafa Tekin\",\"doi\":\"10.1002/ajmg.a.63904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":7507,\"journal\":{\"name\":\"American Journal of Medical Genetics Part A\",\"volume\":\" \",\"pages\":\"e63904\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Medical Genetics Part A\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1002/ajmg.a.63904\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Medical Genetics Part A","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/ajmg.a.63904","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Advancing Equity in Rare Disease Research: Insights From the Undiagnosed Disease Network.
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.
期刊介绍:
The American Journal of Medical Genetics - Part A (AJMG) gives you continuous coverage of all biological and medical aspects of genetic disorders and birth defects, as well as in-depth documentation of phenotype analysis within the current context of genotype/phenotype correlations. In addition to Part A , AJMG also publishes two other parts:
Part B: Neuropsychiatric Genetics , covering experimental and clinical investigations of the genetic mechanisms underlying neurologic and psychiatric disorders.
Part C: Seminars in Medical Genetics , guest-edited collections of thematic reviews of topical interest to the readership of AJMG .