Add like
Add dislike
Add to saved papers

[Application of chromosomal microarray analysis in prenatal diagnosis for fetal abnormalities detected by ultrasonography].

OBJECTIVE: To analyze the outcome of chromosomal microarray analysis (CMA) in prenatal diagnosis for fetal abnormalities detected by ultrasonography.

METHODS: Amniotic fluid samples from 477 pregnancies with abnormal ultrasound findings but without common aneuploidies were detected by CMA with Affymetrix CytoScan 750K arrays. The results were analyzed with ChAS v3.0 software.

RESULTS: Among the 477 samples, 24 (5.03%) were detected with pathogenic copy number variations (pCNVs) by CMA. Six (9.68%) among 62 cases with structural fetal abnormalities in multiple organ systems were detected with pCNVs, 11 (7.48%) among 147 cases with a single structural anomaly were detected with pCNVs, and 7 (2.61%) among 268 cases with a soft marker were detected with pCNVs.

CONCLUSION: CMA has offered a clear advantage over conventional karyotyping for the detection of fetal chromosomal abnormalities, and can provide an effective diagnostic tool for those with one or more structural abnormalities detected by ultrasound.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app