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Genomic analyses in Cornelia de Lange Syndrome and related diagnoses: Novel candidate genes, genotype–phenotype correlations and common mechanisms.

Authors :
Kaur, Maninder
Blair, Justin
Devkota, Batsal
Fortunato, Sierra
Clark, Dinah
Lawrence, Audrey
Kim, Jiwoo
Do, Wonwook
Semeo, Benjamin
Katz, Olivia
Mehta, Devanshi
Yamamoto, Nobuko
Schindler, Emma
Al Rawi, Zayd
Wallace, Nina
Wilde, Jonathan J.
McCallum, Jennifer
Liu, Jinglan
Xu, Dongbin
Jackson, Marie
Source :
American Journal of Medical Genetics. Part A; Aug2023, Vol. 191 Issue 8, p2113-2131, 19p
Publication Year :
2023

Abstract

Cornelia de Lange Syndrome (CdLS) is a rare, dominantly inherited multisystem developmental disorder characterized by highly variable manifestations of growth and developmental delays, upper limb involvement, hypertrichosis, cardiac, gastrointestinal, craniofacial, and other systemic features. Pathogenic variants in genes encoding cohesin complex structural subunits and regulatory proteins (NIPBL, SMC1A, SMC3, HDAC8, and RAD21) are the major pathogenic contributors to CdLS. Heterozygous or hemizygous variants in the genes encoding these five proteins have been found to be contributory to CdLS, with variants in NIPBL accounting for the majority (>60%) of cases, and the only gene identified to date that results in the severe or classic form of CdLS when mutated. Pathogenic variants in cohesin genes other than NIPBL tend to result in a less severe phenotype. Causative variants in additional genes, such as ANKRD11, EP300, AFF4, TAF1, and BRD4, can cause a CdLS‐like phenotype. The common role that these genes, and others, play as critical regulators of developmental transcriptional control has led to the conditions they cause being referred to as disorders of transcriptional regulation (or "DTRs"). Here, we report the results of a comprehensive molecular analysis in a cohort of 716 probands with typical and atypical CdLS in order to delineate the genetic contribution of causative variants in cohesin complex genes as well as novel candidate genes, genotype–phenotype correlations, and the utility of genome sequencing in understanding the mutational landscape in this population. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15524825
Volume :
191
Issue :
8
Database :
Complementary Index
Journal :
American Journal of Medical Genetics. Part A
Publication Type :
Academic Journal
Accession number :
164960682
Full Text :
https://doi.org/10.1002/ajmg.a.63247