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Review
. 2021 Apr;41(5):536-544.
doi: 10.1002/pd.5822. Epub 2020 Sep 21.

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

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Review

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

Howard Cuckle et al. Prenat Diagn. 2021 Apr.

Abstract

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.

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References

REFERENCES

    1. Hook EB . Chromosomal abnormalities: prevalence, risks and recurrence. In: Brock DJH , Rodeck CH , Ferguson-Smith MA , eds. Prenatal Diagnosis and Screening. Edinburgh: Churchill Livingstone; 1992:351-392.
    1. Cuckle H . Down syndrome fetal loss rate in early pregnancy. Prenat Diagn. 1999;19(12):1177-1179.
    1. Morris JK , Alberman E , Mutton D , Jacobs P . Cytogenetic and epidemiological findings in Down syndrome: England and Wales 1989-2009. Am J Med Genet A. 2012;158A(5):1151-1157.
    1. Cuckle HS , Wald NJ , Thompson SG . Estimating a woman's risk of having a pregnancy associated with Down's syndrome using her age and serum alpha-fetoprotein level. Br J Obstet Gynaecol. 1987;94:387-402.
    1. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarri.... Released December 6, 2019.

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