Literature DB >> 22467168

The role of DNA microarrays in the evaluation of fetal death.

Uma M Reddy1, Grier P Page, George R Saade.   

Abstract

Fetal death occurs in 15% of clinically recognized pregnancies. Cytogenetic abnormalities are present in 50% of spontaneous abortions (fetal deaths < 20 weeks) whereas the rate is 6% to 13% for stillbirths (fetal deaths ≥ 20 weeks). Microarray has been demonstrated to increase the diagnosis of genetic abnormalities by providing coverage of the entire genome at a higher density, detecting as small as 50 to 100 kb deletions or duplications, known as copy number changes. Microarray is particularly suited for evaluation of fetal death because DNA can still be analyzed in macerated fetuses and nonviable tissue, two situations where culturing and karyotyping is known to have low yield. Microarray has already proven successful in providing additional genetic information beyond karyotype in spontaneous abortion. The few studies on the use of microarray in stillbirth evaluation have been promising, demonstrating an increase in the diagnosis of clinically relevant genetic abnormalities when compared with karyotype. As the cost and technology improve, microarray may ultimately become the first line screen for genetic abnormalities in stillbirth. The accurate diagnosis of a genetic abnormality as the cause for fetal death may provide closure for families, prevent unnecessary treatments, and enable clinicians to more accurately counsel and manage subsequent pregnancies.
© 2012 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2012        PMID: 22467168     DOI: 10.1002/pd.3825

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


  7 in total

1.  Comprehensive genetic analysis of pregnancy loss by chromosomal microarrays: outcomes, benefits, and challenges.

Authors:  Trilochan Sahoo; Natasa Dzidic; Michelle N Strecker; Sara Commander; Mary K Travis; Charles Doherty; R Weslie Tyson; Arturo E Mendoza; Mary Stephenson; Craig A Dise; Carlos W Benito; Mandolin S Ziadie; Karine Hovanes
Journal:  Genet Med       Date:  2016-06-23       Impact factor: 8.822

2.  Practice guideline: joint CCMG-SOGC recommendations for the use of chromosomal microarray analysis for prenatal diagnosis and assessment of fetal loss in Canada.

Authors:  Christine M Armour; Shelley Danielle Dougan; Jo-Ann Brock; Radha Chari; Bernie N Chodirker; Isabelle DeBie; Jane A Evans; William T Gibson; Elena Kolomietz; Tanya N Nelson; Frédérique Tihy; Mary Ann Thomas; Dimitri J Stavropoulos
Journal:  J Med Genet       Date:  2018-03-01       Impact factor: 6.318

Review 3.  Perinatal death investigations: What is current practice?

Authors:  J W Nijkamp; N J Sebire; K Bouman; F J Korteweg; J J H M Erwich; S J Gordijn
Journal:  Semin Fetal Neonatal Med       Date:  2017-03-18       Impact factor: 3.926

Review 4.  What should we consider in the case of combined Down- and 47,XY,+i(X)(q10) Klinefelter syndromes? The unique case of a male newborn and review of the literature.

Authors:  Eva Pinti; Anna Lengyel; Gyorgy Fekete; Iren Haltrich
Journal:  BMC Pediatr       Date:  2020-01-13       Impact factor: 2.125

5.  Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage.

Authors:  Myungshin Kim; In Yang Park; Jong-Mi Lee; So Young Shin; Guk Won Kim; Woo Jeng Kim; Jeong Ha Wie; Subeen Hong; Dain Kang; Hayoung Choi; Jisook Yim; Yonggoo Kim
Journal:  Mol Diagn Ther       Date:  2021-04-01       Impact factor: 4.074

6.  Best diagnostic approach for the genetic evaluation of fetuses after intrauterine death in first, second or third trimester: QF-PCR, karyotyping and/or genome wide SNP array analysis.

Authors:  Angelique Ja Kooper; Brigitte Hw Faas; Ilse Feenstra; Nicole de Leeuw; Dominique Fcm Smeets
Journal:  Mol Cytogenet       Date:  2014-01-16       Impact factor: 2.009

7.  Submicroscopic chromosomal imbalances contribute to early abortion.

Authors:  Haibo Li; Minjuan Liu; Min Xie; Qin Zhang; Jingjing Xiang; Chengying Duan; Yang Ding; Yinghua Liu; Jun Mao; Ting Wang; Hong Li
Journal:  Mol Cytogenet       Date:  2018-07-21       Impact factor: 2.009

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.