Evidence map›Paper›PMID 39509105›Full record

ArticleJAMA ophthalmology2024

Racial Disparities in Genetic Detection Rates for Inherited Retinal Diseases.

Rebhi O Abuzaitoun, Kari H Branham, Gabrielle D Lacy, Robert B Hufnagel, Meenakshi M Kumar, Juha W Koskenvuo, Sari Tuupanen, Todd Durham, Peter Y Zhao, Maria Fernanda Abalem and 7 more

Abstract read
In one paragraph

Article in JAMA ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Rebhi O AbuzaitounKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
Kari H BranhamKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
Gabrielle D LacyKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
Robert B HufnagelMedical Genetics and Ophthalmic Genomics Unit, Ophthalmic Genomics Laboratory, National Eye Institute, National Institutes of Health, Bethesda, Maryland.
Meenakshi M KumarBlueprint Genetics Ltd, Helsinki, Finland.
Juha W KoskenvuoBlueprint Genetics Ltd, Helsinki, Finland.
Sari TuupanenBlueprint Genetics Ltd, Helsinki, Finland.
Todd DurhamFoundation Fighting Blindness, Columbia, Maryland.
Peter Y ZhaoKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
Maria Fernanda AbalemKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
Chris A AndrewsKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
Dana SchlegelKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
Naheed W KhanKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
Abigail T FahimKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
John R HeckenlivelyKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
David C MuschKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.
K Thiran JayasunderaKellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan.

Funding

Michigan Vision Clinician Scientist Development ProgramK12EY022299 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Abigail Fahim, DAVID N ZACKS · 2013 to 2026
$6.3M
Determining optimal vision care for emotionally distressed patients with inherited retinal diseasesR01EY035016 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sherry Day, Kanishka Thiran Jayasundera · 2024 to 2026
$2.1M
Targeted functional testing for retinal diseases based on patient reported outcomesK23EY026985 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JAYASUNDERA, KANISHKA THIRAN · 2016 to 2020
$1.2M
NEI NIH HHS K12 EY022299NEI NIH HHS K23 EY026985NEI NIH HHS R01 EY035016
6 · The paper itself

Abstract

Importance: The association of race and detection of pathogenic variants using wide-panel genetic testing for inherited retinal diseases (IRD), to our knowledge, has not been studied previously. Objective: To investigate the genetic detection rates of wide-panel testing in Black and non-Hispanic White patients with IRDs. Design, Setting, Participants: This 2-group comparison used retrospective patient data that were collected at the University of Michigan (UM) and Blueprint Genetics (BG). At UM, inclusion criteria included having a clinical IRD diagnosis, wide-panel genetic testing, and both parents and the patient self-identifying as the same race (Black or non-Hispanic White). Logistic regression analysis was used; the dependent variable was genetic test result (positive or negative/inconclusive) and the independent variables were race, age, sex, phenotype, and number of genes tested. In the BG database, patients with wide-panel testing and self-reported race were included; detection rate comparison analysis based on race was performed using χ2 test of independence. These data were analyzed from October 30, 2013, through October 26, 2022. Main Outcome and Measure: Genetic test result was considered positive if pathogenic/likely pathogenic variants were detected. Results: A total of 572 patients were included in UM, 295 were males (51.6%). Mean age was 45 years. There were 54 Black patients (9.4%) and 518 White patients (90.6%). Black race (odds ratio [OR], 0.25; 95% CI, 0.14-0.46; P < .001) and age (OR per 10 years, 0.84; 95% CI, 0.76-0.92; P < .001) were independently associated with decreased odds of a positive test. In the BG database, 142 of 320 of Black patients (44.4%) had a positive/likely positive test result, a proportion lower than White patients (1691 of 2931 [57.7%]) (χ2 = 18.65; df = 1; P < .001). Conclusions and Relevance: Results from this study highlight a lower genetic detection rate for Black patients than for White patients with IRDs. This supports a concern that the current development of IRD therapeutics is highly dependent on the ability to identify the genetic cause of disease. Patients with no known genetic diagnosis may be disadvantaged in terms of prognostication, inheritance counseling, reproductive decision-making, and eligibility for potential therapeutic options, including clinical trials. As future treatments become available, these findings suggest the need to examine the genetic detection rates across majority and minority subgroups alike.

Identifiers

PMID39509105
PMCPMC11544549

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.