möglich sobald bei der ZB eingereicht worden ist.
Population monitoring of trisomy 21: Problems and approaches.
Mol. Cytogenet. 16:6 (2023)
Trisomy 21 (Down syndrome) is the most common autosomal aneuploidy among newborns. About 90% result from meiotic nondisjunction during oogenesis, which occurs around conception, when also the most profound epigenetic modifications take place. Thus, maternal meiosis is an error prone process with an extreme sensitivity to endogenous factors, as exemplified by maternal age. This contrasts with the missing acceptance of causal exogenous factors. The proof of an environmental agent is a great challenge, both with respect to ascertainment bias, determination of time and dosage of exposure, as well as registration of the relevant individual health data affecting the birth prevalence. Based on a few exemplary epidemiological studies the feasibility of trisomy 21 monitoring is illustrated. In the nearer future the methodical premises will be clearly improved, both due to the establishment of electronic health registers and to the introduction of non-invasive prenatal tests. Down syndrome is a sentinel phenotype, presumably also with regard to other congenital anomalies. Thus, monitoring of trisomy 21 offers new chances for risk avoidance and preventive measures, but also for basic research concerning identification of relevant genomic variants involved in chromosomal nondisjunction.
Altmetric
Weitere Metriken?
Zusatzinfos bearbeiten
[➜Einloggen]
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Review
Schlagwörter
Aneuploidy ; Down Syndrome ; Epidemiology ; Preventive Medicine ; Risk Factors ; Sentinel Phenotype ; Trisomy 21; Down-syndrome; Congenital-anomalies; Human Embryos; Risk-factors; Health; Europe; Nondisjunction; Genomics; Germany; Waste
ISSN (print) / ISBN
1755-8166
e-ISSN
1755-8166
Zeitschrift
Molecular Cytogenetics
Quellenangaben
Band: 16,
Heft: 1,
Artikelnummer: 6
Verlag
BMC
Verlagsort
Campus, 4 Crinan St, London N1 9xw, England
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Computational Biology (ICB)