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Prenatal exome sequencing and chromosomal microarray analysis in fetal structural anomalies in a highly consanguineous population reveals a propensity of ciliopathy genes causing multisystem phenotypes

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Abstract

Fetal abnormalities are detected in 3% of all pregnancies and are responsible for approximately 20% of all perinatal deaths. Chromosomal microarray analysis (CMA) and exome sequencing (ES) are widely used in prenatal settings for molecular genetic diagnostics with variable diagnostic yields. In this study, we aimed to determine the diagnostic yield of trio-ES in detecting the cause of fetal abnormalities within a highly consanguineous population. In families with a history of congenital anomalies, a total of 119 fetuses with structural anomalies were recruited and DNA from invasive samples were used together with parental DNA samples for trio-ES and CMA. Data were analysed to determine possible underlying genetic disorders associated with observed fetal phenotypes. The cohort had a known consanguinity of 81%. Trio-ES led to diagnostic molecular genetic findings in 59 fetuses (with pathogenic/likely pathogenic variants) most with multisystem or renal abnormalities. CMA detected chromosomal abnormalities compatible with the fetal phenotype in another 7 cases. Monogenic ciliopathy disorders with an autosomal recessive inheritance were the predominant cause of multisystem fetal anomalies (24/59 cases, 40.7%) with loss of function variants representing the vast majority of molecular genetic abnormalities. Heterozygous de novo pathogenic variants were found in four fetuses. A total of 23 novel variants predicted to be associated with the phenotype were detected. Prenatal trio-ES and CMA detected likely causative molecular genetic defects in a total of 55% of families with fetal anomalies confirming the diagnostic utility of trio-ES and CMA as first-line genetic test in the prenatal diagnosis of multisystem fetal anomalies including ciliopathy syndromes.

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All data generated during this study are included in this published article and its supplementary information files.

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Acknowledgements

We thank all families who participated in the study. We acknowledge the support of the Saudi Human Genome Program as well as the Saudi Diagnostic Laboratory administration and staff. We thank the Saudi Human Genome Program, King Abdulaziz City for Science and Technology (KACST), Saudi Arabia. The authors declare no conflict of interest.

Funding

JAS is funded by Kidney Research UK and the Northern Counties Kidney Research Fund.

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MHA-H. JAS and FI conceived the study and participated in its design, coordination, drafted and revised the manuscript. WK, RK, MT, MAN, NS and MM participated in the clinical diagnosis of the cases. MHA-H, RR, MA, ZR, ND, KR, JAS and FH participated in exome analysis. AO, WA, AS, RA, LQ, HB, AA, NM and AK carried out all technical aspects of molecular diagnosis. GM, WM, SD, SA, BS, HB, and MA participated in the collection of data of enrolled cases. JAS revised the manuscript. All authors read and approved the final manuscript.

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Correspondence to Mohamed H. Al-Hamed or Faiqa Imtiaz.

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The study was approved by the Research Advisory Council at King Faisal Specialist Hospital and Research Centre (KFSH&RC), Riyadh, Saudi Arabia (RAC# 2211035).

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Informed consent was obtained from all individual participants included in the study.

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Al-Hamed, M.H., Kurdi, W., Khan, R. et al. Prenatal exome sequencing and chromosomal microarray analysis in fetal structural anomalies in a highly consanguineous population reveals a propensity of ciliopathy genes causing multisystem phenotypes. Hum Genet 141, 101–126 (2022). https://doi.org/10.1007/s00439-021-02406-9

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