Evidence map›Paper›PMID 37897121›Full record

ArticleAmerican journal of medical genetics. Part A2024

Probable digenic inheritance of Diamond-Blackfan anemia.

Yutaka Furuta, Rory J Tinker, Alican Gulsevin, Serena M Neumann, Rizwan Hamid, Joy D Cogan, Lynette Rives, Qi Liu, Hua-Chang Chen, Karen M Joos and 2 more

Registry-linked trialOpen access · greenAbstract readCase Reports
In one paragraph

Article in American journal of medical genetics. Part A, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02450851 (Clinical and Genetic Evaluation of Patients With Undiagnosed Disorders Through the Undiagnosed Diseases Network), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
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.

NCT02450851 recruitingnot on this map

Clinical and Genetic Evaluation of Patients With Undiagnosed Disorders Through the Undiagnosed Diseases Network

TypeobservationalSponsorNational Human Genome Research Institute (NHGRI)Ran2015 to 2028Enrolled20,000ConditionsGenetic Disease
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

12 authors at 3 institutions in 1 country.

Yutaka FurutaDepartment of Pediatrics, Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0009-0001-7278-8242
Rory J TinkerDepartment of Pediatrics, Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Alican GulsevinDepartment of Chemistry, Center for Structural Biology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Serena M NeumannDepartment of Pediatrics, Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Rizwan HamidDepartment of Pediatrics, Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Joy D CoganDepartment of Pediatrics, Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Lynette RivesDepartment of Pediatrics, Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Qi LiuDepartment of Biostatistics and Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Hua-Chang ChenDepartment of Biostatistics and Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Karen M JoosVanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
John A PhillipsDepartment of Pediatrics, Division of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Undiagnosed Diseases Network
Vanderbilt University Medical Center · USButler University · USVanderbilt Health · US

Funding

Vanderbilt Center for Undiagnosed Diseases (VCUD) - BiorepositoryU01HG007674 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COGAN, JOY D, HAMID, RIZWAN · 2014 to 2022
$13.7M
Vanderbilt Center of Excellence for Undiagnosed Disease (VCEUD)U01NS134349 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lisa Bastarache, JOY D COGAN · 2023 to 2026
$3.8M
National Institutes of Health (NIH)NHGRI NIH HHS U01 HG007674NINDS NIH HHS U01 NS134349
6 · The paper itself

Abstract

A 26-year-old female proband with a clinical diagnosis and consistent phenotype of Diamond-Blackfan anemia (DBA, OMIM 105650) without an identified genotype was referred to the Undiagnosed Diseases Network. DBA is classically associated with monoallelic variants that have an autosomal-dominant or -recessive mode of inheritance. Intriguingly, her case was solved by a detection of a digenic interaction between non-allelic RPS19 and RPL27 variants. This was confirmed with a machine learning structural model, co-segregation analysis, and RNA sequencing. This is the first report of DBA caused by a digenic effect of two non-allelic variants demonstrated by machine learning structural model. This case suggests that atypical phenotypic presentations of DBA may be caused by digenic inheritance in some individuals. We also conclude that a machine learning structural model can be useful in detecting digenic models of possible interactions between products encoded by alleles of different genes inherited from non-affected carrier parents that can result in DBA with an unrealized 25% recurrence risk.

Indexed as

Anemia, Diamond-BlackfanAdultAllelesBase SequenceFemaleGenotypeHumansMutationPhenotypeRibosomal ProteinsRibosomal ProteinsDiamond-Blackfan anemiadigenicmachine learningRPL27RPS19structural biology

Identifiers

PMID37897121
PMCPMC12317657
OpenAlexW4387996950

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.