De novo copy number variants and parental age: Is there an association?

Chromosomal microarray Copy number variant Low copy repeats Parental age Parental origin

Journal

European journal of medical genetics
ISSN: 1878-0849
Titre abrégé: Eur J Med Genet
Pays: Netherlands
ID NLM: 101247089

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 27 10 2018
revised: 10 10 2019
accepted: 21 12 2019
pubmed: 29 12 2019
medline: 1 1 2021
entrez: 29 12 2019
Statut: ppublish

Résumé

To investigate whether increased parental age is associated with an increased risk for de novo copy number variant (CNV) formation in offspring. CNV calls from 2323 individuals referred to Signature Genomic Laboratories for clinical microarray-based comparative genomic hybridization were investigated; 17% of the samples were prenatal and 83% were postnatal. The de novo CNV data were further split into de novo CNVs bound by low copy repeats (LCRs) and those not bound by LCRs. No association was found between CNV occurrence and paternal age in both the prenatal (p = 0.6795) and postnatal (p = 0.1741) cohorts. Maternal age was significantly higher with de novo CNV occurrence in our postnatal cohort (p = 0.0126), an effect which may be driven by formation of de novo CNVs that are bound by LCRs (p = 0.0026). Furthermore, a significant positive correlation was observed between maternal age and de novo CNVs (Point-Biserial R This large-scale study did not find any evidence for the influence of increased paternal age on de novo CNV formation, while increased maternal age appeared to increase risk for de novo, non-complex CNV occurrence in offspring with intellectual disability/developmental delay. Further studies and continued technological advances will help yield more information on the risk factors for de novo CNVs.

Identifiants

pubmed: 31883480
pii: S1769-7212(18)30701-8
doi: 10.1016/j.ejmg.2019.103829
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103829

Informations de copyright

Copyright © 2019 Elsevier Masson SAS. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The Department of Molecular and Human Genetics at Baylor College of Medicine receives revenue from clinical genetic testing conducted at Baylor Genetics.

Auteurs

Isha Wadhawan (I)

Department of Obstetrics & Gynecology, Sant Parmanand Hospital, New Delhi, India.

Yang Hai (Y)

The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA, USA; Department of Statistics, University of Auckland, Auckland, New Zealand.

Nastaran Foyouzi Yousefi (N)

Fertility Experts in California & Asian Egg Bank, Hanabusa IVF, San Diego, CA, USA.

Xiuqing Guo (X)

The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA, USA.

John M Graham (JM)

The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA, USA; Department of Pediatrics, Division of Medical Genetics, Cedars-Sinai Medical Center, UCLA School of Medicine, Los Angeles, CA, USA.

Jill A Rosenfeld (JA)

Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA. Electronic address: mokry@bcm.edu.

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Classifications MeSH