Evidence map›Paper›PMID 41044236›Full record

ArticleEuropean journal of human genetics : EJHG2026

Evaluating DNA methylation episignatures as a first-tier diagnostic test in individuals with suspected genetic disorders.

Tinatin Tkemladze, Christopher Campbell, Kakha Bregvadze, Eka Kvaratskhelia, Elene Abzianidze, Leigh Demain, Sarah Jenkinson, Sarah Hilton, Michael Levy, Jennifer Kerkhof and 3 more

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Tinatin TkemladzeDepartment of Molecular and Medical Genetics, Tbilisi State Medical University, Tbilisi, Georgia. t.tkemaladze@tsmu.edu.ORCID 0000-0003-1924-6695
Christopher CampbellManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
Kakha BregvadzeDepartment of Molecular and Medical Genetics, Tbilisi State Medical University, Tbilisi, Georgia.
Eka KvaratskheliaDepartment of Molecular and Medical Genetics, Tbilisi State Medical University, Tbilisi, Georgia.
Elene AbzianidzeDepartment of Molecular and Medical Genetics, Tbilisi State Medical University, Tbilisi, Georgia.
Leigh DemainManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
Sarah JenkinsonManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
Sarah HiltonManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
Michael LevyDepartment of Pathology and Laboratory Medicine, Western University, London, ON, Canada.
Jennifer KerkhofDepartment of Pathology and Laboratory Medicine, Western University, London, ON, Canada.ORCID 0000-0003-1245-6606
David GokhaleManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.
Bekim SadikovicDepartment of Pathology and Laboratory Medicine, Western University, London, ON, Canada.ORCID 0000-0001-6363-0016
Siddharth BankaManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation (DNAm) episignature analysis is an emerging tool for diagnosing individuals with neurodevelopmental disorders, congenital anomalies, and growth disorders. We evaluated its clinical utility as a first-tier test in 62 individuals without prior molecular testing. DNAm arrays identified a diagnosis in 30.6% (19/62) of cases. The positivity rate was highest for Fragile X syndrome (100%, 5/5), followed by syndromic disorders (44%, 8/18) and imprinting disorders (25%, 6/24), including Silver-Russell, Beckwith-Wiedemann, and Prader-Willi syndromes. No diagnoses were made in 15 individuals with non-syndromic neurodevelopmental disorders. Alternative diagnoses were identified in 4.8% (3/62) of cases. These findings suggest that DNAm arrays can serve as an effective first-tier diagnostic tool, particularly for syndromic and imprinting disorders, with potential to improve diagnostic efficiency and reduce reliance on sequential genetic testing. While these findings support the use of DNAm arrays as an effective first-tier tool in selected populations, larger, unselected cohort studies are needed to validate its generalizability.

Indexed as

DNA MethylationGenetic Diseases, InbornGenetic TestingAdolescentAdultChildChild, PreschoolFemaleFragile X SyndromeGenomic ImprintingHumansInfantMalePrader-Willi Syndrome

Identifiers

PMID41044236
PMCPMC12858995

What Socratic holds

Textmetadata
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Registered trials

None linked

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 Socratic graph.