Literature DB >> 7644436

New estimates of Down syndrome risks at chorionic villus sampling, amniocentesis, and livebirth in women of advanced maternal age from a uniquely defined population.

J L Halliday1, L F Watson, J Lumley, D M Danks, L J Sheffield.   

Abstract

Current measures of livebirth prevalence of Down syndrome are derived from data obtained up to 20 years ago, before the introduction of the prenatal diagnostic tests amniocentesis and chorionic villus sampling (CVS). For women aged 36-52 years, but who were not tested prenatally, we proposed to make a direct estimate of current livebirth prevalence of Down syndrome. We could also determine prevalence at the time of CVS and amniocentesis in women of the same age undergoing prenatal testing. Differences in these prevalences allow an estimation of the relative loss of Down syndrome during pregnancy. In Victoria, Australia, we identified 3041 women having CVS, 7504 having amniocentesis, and 13,139 having no test. Smoothed regression estimates of age-specific livebirth prevalence were found to be higher than in the early studies. The estimate of spontaneous loss was 17 per cent between the time of CVS and amniocentesis, and 18 per cent after the time of amniocentesis. The latter figure is lower than previous estimates and may be explained by a greater likelihood of a Down syndrome fetus surviving to be liveborn, given the modern approach to early obstetric intervention. These current risk estimates of livebirth may be useful updates for genetic counselling, but perhaps more importantly, may be used as precise maternal age-related risk figures, necessary in the design and implementation of prenatal screening programmes for Down syndrome.

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Year:  1995        PMID: 7644436     DOI: 10.1002/pd.1970150509

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  8 in total

1.  Adoption and fostering of babies with Down syndrome: a cohort of 593 cases.

Authors:  A C Dumaret; C De Vigan; C Julian-Reynier; J Goujard; D Rosset; S Aymé
Journal:  Prenat Diagn       Date:  1998-05       Impact factor: 3.050

2.  Maternal age-specific risk for trisomy 21 based on the clinical performance of NIPT and empirically derived NIPT age-specific positive and negative predictive values in Japan.

Authors:  Takahiro Yamada; Akihiko Sekizawa; Yosuke Fujii; Tatsuko Hirose; Osamu Samura; Nobuhiro Suzumori; Kiyonori Miura; Hideaki Sawai; Fumiki Hirahara; Jun Murotsuki; Yoshimasa Kamei; Haruhiko Sago
Journal:  J Hum Genet       Date:  2018-05-30       Impact factor: 3.172

3.  An unexpected finding: younger fathers have a higher risk for offspring with chromosomal aneuploidies.

Authors:  Bernhard Steiner; Rahim Masood; Kaspar Rufibach; Dunja Niedrist; Oliver Kundert; Mariluce Riegel; Albert Schinzel
Journal:  Eur J Hum Genet       Date:  2014-07-09       Impact factor: 4.246

4.  Perinatal loss of Ts65Dn Down syndrome mice.

Authors:  Randall J Roper; Heidi K St John; Jessica Philip; Ann Lawler; Roger H Reeves
Journal:  Genetics       Date:  2005-09-19       Impact factor: 4.562

5.  The natural history of Down syndrome conceptuses diagnosed prenatally that are not electively terminated.

Authors:  E B Hook; D E Mutton; R Ide; E Alberman; M Bobrow
Journal:  Am J Hum Genet       Date:  1995-10       Impact factor: 11.025

6.  Transmission of trisomy decreases with maternal age in mouse models of Down syndrome, mirroring a phenomenon in human Down syndrome mothers.

Authors:  Shani Stern; David Biron; Elisha Moses
Journal:  BMC Genet       Date:  2016-07-11       Impact factor: 2.797

7.  Chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide.

Authors:  Sowmiya Moorthie; Hannah Blencowe; Matthew W Darlison; Stephen Gibbons; Joy E Lawn; Pierpaolo Mastroiacovo; Joan K Morris; Bernadette Modell
Journal:  J Community Genet       Date:  2017-09-26

8.  Presence of chromosomal abnormalities in fetuses with isolated ventriculomegaly on prenatal ultrasound in China.

Authors:  Dan Zhao; Ailu Cai; Bing Wang; Xiaodan Lu; Lu Meng
Journal:  Mol Genet Genomic Med       Date:  2018-09-19       Impact factor: 2.183

  8 in total

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