AUTHOR=Alyafee Yusra , Al Tuwaijri Abeer , Umair Muhammad , Alharbi Mashael , Haddad Shahad , Ballow Maryam , Alayyar Latifah , Alam Qamre , Althenayyan Saleh , Al Ghilan Nadia , Al Khaldi Aziza , Faden Majid S. , Al Sufyan Hamad , Alfadhel Majid
TITLE=Non-invasive prenatal testing for autosomal recessive disorders: A new promising approach
JOURNAL=Frontiers in Genetics
VOLUME=13
YEAR=2022
URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2022.1047474
DOI=10.3389/fgene.2022.1047474
ISSN=1664-8021
ABSTRACT=
Background: In pregnant women at risk of autosomal recessive (AR) disorders, prenatal diagnosis of AR disorders primarily involves invasive procedures, such as chorionic villus sampling and amniocentesis.
Methods: We collected blood samples from four pregnant women in their first trimester who presented a risk of having a child with an AR disorder. Cell-free DNA (cfDNA) was extracted, amplified, and double-purified to reduce maternal DNA interference. Additionally, whole-genome amplification was performed for traces of residual purified cfDNA for utilization in subsequent applications.
Results: Based on our findings, we detected the fetal status with the family corresponding different genes, i.e., LZTR1, DVL2, HBB, RNASEH2B, and MYO7A, as homozygous affected, wild-type, and heterozygous carriers, respectively. Results were subsequently confirmed by prenatal amniocentesis. The results of AmpFLSTRâ„¢ Identifilerâ„¢ presented a distinct profile from the corresponding mother profile, thereby corroborating the result reflecting the genetic material of the fetus.
Conclusion: Herein, we detected AR disease mutations in the first trimester of pregnancy while surmounting limitations associated with maternal genetic material interference. Importantly, such detection strategies would allow the screening of pregnant women for common AR diseases, especially in highly consanguineous marriage populations. This technique would open avenues for the early detection and prevention of recessive diseases among the population.