Review of epidemiological factors (other than maternal age) that determine the prevalence of common autosomal trisomies.


Journal

Prenatal diagnosis
ISSN: 1097-0223
Titre abrégé: Prenat Diagn
Pays: England
ID NLM: 8106540

Informations de publication

Date de publication:
04 2021
Historique:
revised: 24 07 2020
received: 23 04 2020
accepted: 02 09 2020
pubmed: 9 9 2020
medline: 15 12 2021
entrez: 8 9 2020
Statut: ppublish

Résumé

The birth prevalence of each common autosomal trisomy (21, 18 and 13) increases with advancing maternal age and this is the most important epidemiological risk factor. Prevalence during pregnancy is also dependent on gestational age. Other factors claimed to influence prevalence include paternal age, ethnicity, family history, premature reproductive aging, parity, twinning, smoking, environmental exposures, maternal medical conditions, and predispositions. We review the evidence for these associations since they may provide insights into causal mechanisms. When investigating potential co-factors it is important to adequately allow for maternal age and minimize its confounding contribution. This is well illustrated by reports of an inverse paternal age effect where there is strong correlation between parental ages. Gestational age at diagnosis, availability of prenatal screening, diagnostic testing, and elective termination of affected pregnancies and healthcare disparities also confound the studies on ethnicity, medical conditions, and predispositions or environmental factors. Data from twin zygosity studies demonstrate the importance of differences in fetal viability for affected pregnancies. We conclude that existing epidemiological evidence for most of the co-factors discussed should currently be considered tenuous; history of Down syndrome, albeit biased, may be an exception. The co-factors may yet provide clues to hitherto poorly understood causal pathways.

Identifiants

pubmed: 32895968
doi: 10.1002/pd.5822
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

536-544

Informations de copyright

© 2020 John Wiley & Sons Ltd.

Références

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Auteurs

Howard Cuckle (H)

Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Peter Benn (P)

Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, Connecticut, USA.

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