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Identification of a DNA methylation episignature for recurrent constellations of embryonic malformations.

Authors :
Haghshenas S
Karimi K
Stevenson RE
Levy MA
Relator R
Kerkhof J
Rzasa J
McConkey H
Lauzon-Young C
Balci TB
White-Brown AM
Carter MT
Richer J
Armour CM
Sawyer SL
Bhola PT
Tedder ML
Skinner CD
van Rooij IALM
van de Putte R
de Blaauw I
Koeck RM
Hoischen A
Brunner H
Esteki MZ
Pelet A
Lyonnet S
Amiel J
Boycott KM
Sadikovic B
Source :
American journal of human genetics [Am J Hum Genet] 2024 Aug 08; Vol. 111 (8), pp. 1643-1655. Date of Electronic Publication: 2024 Jul 31.
Publication Year :
2024

Abstract

The term "recurrent constellations of embryonic malformations" (RCEM) is used to describe a number of multiple malformation associations that affect three or more body structures. The causes of these disorders are currently unknown, and no diagnostic marker has been identified. Consequently, providing a definitive diagnosis in suspected individuals is challenging. In this study, genome-wide DNA methylation analysis was conducted on DNA samples obtained from the peripheral blood of 53 individuals with RCEM characterized by clinical features recognized as VACTERL and/or oculoauriculovertebral spectrum association. We identified a common DNA methylation episignature in 40 out of the 53 individuals. Subsequently, a sensitive and specific binary classifier was developed based on the DNA methylation episignature. This classifier can facilitate the use of RCEM episignature as a diagnostic biomarker in a clinical setting. The study also investigated the functional correlation of RCEM DNA methylation relative to other genetic disorders with known episignatures, highlighting the common genomic regulatory pathways involved in the pathophysiology of RCEM.<br />Competing Interests: Declaration of interests B.S. is a shareholder in EpiSign Inc. involved in commercial uses of EpiSign technology.<br /> (Copyright © 2024 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1537-6605
Volume :
111
Issue :
8
Database :
MEDLINE
Journal :
American journal of human genetics
Publication Type :
Academic Journal
Accession number :
39089258
Full Text :
https://doi.org/10.1016/j.ajhg.2024.07.005