BACKGROUND: Karyotyping has been the gold standard for prenatal chromosome analysis. The resolution should be higher by chromosome microarray analysis (CMA). The challenge lies in recognizing benign and pathogenic or clinically significant copy number variations (pCNV) and variations of unknown significance (VOUS). The aim was to evaluate the diagnostic yield and clinical utility of CMA, to stratify the CMA results in various prenatal referral groups and to accumulate Indian data of pCNVs and VOUS for further interpretation to assist defined genetic counseling. METHODS: Karyotyping and CMA were performed on consecutive referrals of 370 prenatal samples of amniotic fluid (nâ=â274) and chorionic villi (nâ=â96) from Indian pregnant women with high maternal age (nâ=â23), biochemical screen positive (nâ=â61), previous child abnormal (nâ=â59), abnormal fetal ultrasound (nâ=â205) and heterozygous parents (nâ=â22). RESULTS AND CONCLUSION: The overall diagnostic yield of abnormal results was 5.40% by karyotyping and 9.18% by CMA. The highest percentage of pCNVs were found in the group with abnormal fetal ultrasound (5.40%) as compared to other groups, such as women with high maternal age (0.81%), biochemical screen positive (0.54%), previous abnormal offspring (0.81%) or heterozygous parents group (1.62%). Therefore, all women with abnormal fetal ultrasound must undergo CMA test for genotype-phenotype correlation. CMA detects known and rare deletion/duplication syndromes and characterizes marker chromosomes. Accumulation of CNV data will form an Indian Repository and also help to resolve the uncertainty of VOUS. Pretest and posttest genetic counseling is essential to convey benefits and limitations of CMA and help the patients to take informed decisions.
Prenatal Diagnosis by Chromosome Microarray Analysis, An Indian Experience.
阅读:4
作者:Bajaj Lall Meena, Agarwal Shruti, Paliwal Preeti, Saviour Pushpa, Joshi Anju, Joshi Arti, Mahajan Surbhi, Bijarnia-Mahay Sunita, Dua Puri Ratna, Verma I C
| 期刊: | Journal of Obstetrics and Gynecology of India | 影响因子: | 0.600 |
| 时间: | 2021 | 起止号: | 2021 Apr;71(2):156-167 |
| doi: | 10.1007/s13224-020-01413-6 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
