Role of Whole Exome Sequencing for Unidentified Genetic Syndromes
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Purpose Of Review: The current review seeks to provide a comprehensive update on the revolutionary technology of whole exome sequencing (WES) which has been used to interrogate abnormal foetal phenotypes since the last few years, and is changing the paradigms of prenatal diagnosis, facilitating accurate genetic diagnosis and optimal management of pregnancies affected with foetal abnormalities, as well enabling delineation of novel Mendelian disorders.
Recent Findings: WES has contributed to identification of more than 1000 Mendelian genes and made rapid strides into clinical diagnostics in recent years. Diagnostic yield of WES in postnatal cohorts has ranged from 25 to 50%, and this test is now a first tier investigation for various clinical presentations. Various abnormal perinatal phenotypes have also been investigated using WES since 2014, with diagnostic yields ranging from 8.5 to 80%. Studies in foetal phenotypes have been challenging and guidelines in this cohort are still evolving.
Summary: WES has proven to be a disrupting technology, enabling genetic diagnosis for pregnancies complicated by previously unexplained foetal abnormalities, and revealing a significant contribution of single gene disorders in these, thereby changing clinical diagnostic paradigms. The application of this technology in perinatal cohorts is also providing interesting insights into single gene defects presenting as previously unknown genetic syndromes, hence contributing to expansion of Mendelian genetics to encompass various foetal phenotypes.
Li J, Wei X, Sun Y, Chen X, Zhang Y, Cui X Mol Genet Genomic Med. 2024; 12(4):e2400.
PMID: 38546032 PMC: 10976427. DOI: 10.1002/mgg3.2400.
Qin Y, Yao Y, Liu N, Wang B, Liu L, Li H BMC Med Genomics. 2023; 16(1):262.
PMID: 37880672 PMC: 10601195. DOI: 10.1186/s12920-023-01697-3.
Deng M, Chen W, Qi Y Comb Chem High Throughput Screen. 2023; 27(2):346-351.
PMID: 37231758 DOI: 10.2174/1386207326666230523112454.
Wang Z, He T, Liu L, Tong F, Li C, Zhao Y Front Genet. 2023; 14:1128884.
PMID: 37144129 PMC: 10152365. DOI: 10.3389/fgene.2023.1128884.
Charzewska A, Terczynska I, Lipiec A, Mazurczak T, Gorka-Skoczylas P, Szlendak R Int J Mol Sci. 2023; 24(2).
PMID: 36674629 PMC: 9864286. DOI: 10.3390/ijms24021117.