Literature DB >> 26744845

Integrating Microarrays into Routine Prenatal Diagnosis: Determinants of Decision Making.

Marcos Cordoba1, Stephanie Andriole, Shara M Evans, David Britt, Melissa Chu Lam, Mark I Evans.   

Abstract

OBJECTIVES: The explosion in genetic technologies, including array comparative genomic hybridization (aCGH), has increased the complexity of genetic counseling. We now offer chorionic villus sampling (CVS) and aCGH to all first-trimester patients, as this allows the prenatal diagnosis of an additional 1% of anomalies not otherwise detectable and can detect genetic copy number variants at a much higher resolution than conventional cytogenetics. Here, we explored some of the determinants of how patients are deciding to use or not use this new technology and evaluate risk-benefit analyses for that decision.
METHODS: This is a retrospective case-control study of singleton and multiples pregnancies at our center. Those having aCGH testing along with CVS were defined as 'testers' and those who declined aCGH but had the CVS were 'nontesters'.
RESULTS: Demographic data of 181 educated women who chose CVS were compared. Among those carrying singletons (n = 144), older women, defined as over 35 years of age (or 'advanced maternal age'; AMA), were more likely to choose the aCGH than younger women. Further, women who had a prior history of genetic testing and who wanted to know the gender of the fetus were more likely to choose the aCGH test. In women carrying multiples (n = 37), AMA ceases to be a predictor of choice. Having had prior genetic counseling remains a strong predictor for choosing aCGH, as does wanting to know the gender of the fetus. Neither prior abortions nor having prior children were significant for women carrying singletons or multiples.
CONCLUSION: Offering pregnant couples an individualized choice regarding aCGH seems an appropriate approach. There are discrete patterns associated with the choice of taking the aCGH that varied depending on whether the patient was carrying a singleton or multiples.
© 2016 S. Karger AG, Basel.

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Year:  2016        PMID: 26744845     DOI: 10.1159/000442197

Source DB:  PubMed          Journal:  Fetal Diagn Ther        ISSN: 1015-3837            Impact factor:   2.587


  1 in total

1.  Epidemiology of fetal cerebral ventriculomegaly and evaluation of chromosomal microarray analysis versus karyotyping for prenatal diagnosis in a Chinese hospital.

Authors:  Jun-Ling Yi; Wei Zhang; Da-Hua Meng; Li-Jie Ren; Jin Yu; Yi-Liang Wei
Journal:  J Int Med Res       Date:  2019-08-19       Impact factor: 1.671

  1 in total

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