title: Assessment of atypicality: an adjunct to prenatal screening for Down's syndrome that facilitates detection of other abnormalities.
abstract: Current software used for assessment of the risk of Down's syndrome may give misleading risk estimates if applied to other abnormalities. Often the abnormality is reflected in maternal serum alpha-fetoprotein and human chorionic gonadotrophin levels and is then translated into a low risk for Down's syndrome that may not be recognized as significantly atypical of normality. We regard this as a serious deficiency in the current Down's syndrome risk reporting algorithm, and suggest a modification that allows the problem to be overcome.
authors.affiliation: Department of Mathematics and Statistics, University of Plymouth, UK.
authors.forename: D E
authors.initials: DE
authors.lastname: Wright
authors.forename: T M
authors.initials: TM
authors.lastname: Reynolds
authors.forename: C M
authors.initials: CM
authors.lastname: Donovan
mesh_terms: D000465:Algorithms; D006063:Chorionic Gonadotropin / Q000097:blood*; D002869:Chromosome Aberrations; D003198:Computer Simulation; D004314:Down Syndrome / Q000175:diagnosis*; D005260:Female; D005820:Genetic Testing; D006801:Humans; D011247:Pregnancy; D011296:Prenatal Diagnosis; D012307:Risk Factors; D014314:Trisomy; D000509:alpha-Fetoproteins / Q000032:analysis*
chemical_list: D006063:Chorionic Gonadotropin; D000509:alpha-Fetoproteins