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Diagnostic yield using whole‐genome sequencing and in‐silico panel of 281 genes associated with non‐immune hydrops fetalis in clinical setting
OBJECTIVE: To investigate the diagnostic yield of clinical whole‐genome sequencing (WGS) in prenatally diagnosed non‐immune hydrops fetalis (NIHF). METHODS: This was a retrospective study of 23 fetuses with prenatally diagnosed NIHF, negative for trisomies and copy‐number variants, referred for anal...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804469/ https://www.ncbi.nlm.nih.gov/pubmed/35397126 http://dx.doi.org/10.1002/uog.24911 |
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author | Westenius, E. Sahlin, E. Conner, P. Lindstrand, A. Iwarsson, E. |
author_facet | Westenius, E. Sahlin, E. Conner, P. Lindstrand, A. Iwarsson, E. |
author_sort | Westenius, E. |
collection | PubMed |
description | OBJECTIVE: To investigate the diagnostic yield of clinical whole‐genome sequencing (WGS) in prenatally diagnosed non‐immune hydrops fetalis (NIHF). METHODS: This was a retrospective study of 23 fetuses with prenatally diagnosed NIHF, negative for trisomies and copy‐number variants, referred for analysis by WGS with an in‐silico panel of 281 genes associated with hydrops fetalis. Due to identification of a high proportion of causative variants in the HRAS gene in the main cohort, Sanger sequencing of HRAS was performed in a replication cohort, consisting of 24 additional fetuses with NIHF that were negative for trisomies and copy‐number variants and had not undergone WGS. RESULTS: Of the 23 fetuses in the main cohort, a molecular diagnosis was achieved in 12 (52.2%). Pathogenic or likely pathogenic variants were identified in seven genes: HRAS (n = 5), RIT1 (n = 2), FOXP3 (n = 1), GLB1 (n = 1), MAP2K1 (n = 1), PTPN11 (n = 1) and RASA1 (n = 1). The inheritance pattern of the 12 causative variants was autosomal dominant in 10 cases (HRAS, MAP2K1, PTPN11, RASA1, RIT1), autosomal recessive in one (GLB1) and X‐linked recessive in one (FOXP3). Of the 24 fetuses in the replication cohort, a pathogenic variant in HRAS was identified in one, resulting in an overall frequency of causative HRAS variants of 12.8% (6/47) in our two cohorts. CONCLUSIONS: We demonstrate a diagnostic yield of 52% with clinical WGS in NIHF using an in‐silico panel of 281 genes. However, the high diagnostic yield may be attributed to the small sample size and possible over‐representation of severe phenotypes in the included fetuses. Bearing in mind that chromosomal abnormalities were excluded in our cohorts, a detection rate of up to 75% is possible in prenatally diagnosed NIHF when WGS analysis includes calling of chromosomal aberrations. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology. |
format | Online Article Text |
id | pubmed-9804469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98044692023-01-03 Diagnostic yield using whole‐genome sequencing and in‐silico panel of 281 genes associated with non‐immune hydrops fetalis in clinical setting Westenius, E. Sahlin, E. Conner, P. Lindstrand, A. Iwarsson, E. Ultrasound Obstet Gynecol Original Papers OBJECTIVE: To investigate the diagnostic yield of clinical whole‐genome sequencing (WGS) in prenatally diagnosed non‐immune hydrops fetalis (NIHF). METHODS: This was a retrospective study of 23 fetuses with prenatally diagnosed NIHF, negative for trisomies and copy‐number variants, referred for analysis by WGS with an in‐silico panel of 281 genes associated with hydrops fetalis. Due to identification of a high proportion of causative variants in the HRAS gene in the main cohort, Sanger sequencing of HRAS was performed in a replication cohort, consisting of 24 additional fetuses with NIHF that were negative for trisomies and copy‐number variants and had not undergone WGS. RESULTS: Of the 23 fetuses in the main cohort, a molecular diagnosis was achieved in 12 (52.2%). Pathogenic or likely pathogenic variants were identified in seven genes: HRAS (n = 5), RIT1 (n = 2), FOXP3 (n = 1), GLB1 (n = 1), MAP2K1 (n = 1), PTPN11 (n = 1) and RASA1 (n = 1). The inheritance pattern of the 12 causative variants was autosomal dominant in 10 cases (HRAS, MAP2K1, PTPN11, RASA1, RIT1), autosomal recessive in one (GLB1) and X‐linked recessive in one (FOXP3). Of the 24 fetuses in the replication cohort, a pathogenic variant in HRAS was identified in one, resulting in an overall frequency of causative HRAS variants of 12.8% (6/47) in our two cohorts. CONCLUSIONS: We demonstrate a diagnostic yield of 52% with clinical WGS in NIHF using an in‐silico panel of 281 genes. However, the high diagnostic yield may be attributed to the small sample size and possible over‐representation of severe phenotypes in the included fetuses. Bearing in mind that chromosomal abnormalities were excluded in our cohorts, a detection rate of up to 75% is possible in prenatally diagnosed NIHF when WGS analysis includes calling of chromosomal aberrations. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology. John Wiley & Sons, Ltd. 2022-08-30 2022-10 /pmc/articles/PMC9804469/ /pubmed/35397126 http://dx.doi.org/10.1002/uog.24911 Text en © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Papers Westenius, E. Sahlin, E. Conner, P. Lindstrand, A. Iwarsson, E. Diagnostic yield using whole‐genome sequencing and in‐silico panel of 281 genes associated with non‐immune hydrops fetalis in clinical setting |
title | Diagnostic yield using whole‐genome sequencing and in‐silico panel of 281 genes associated with non‐immune hydrops fetalis in clinical setting |
title_full | Diagnostic yield using whole‐genome sequencing and in‐silico panel of 281 genes associated with non‐immune hydrops fetalis in clinical setting |
title_fullStr | Diagnostic yield using whole‐genome sequencing and in‐silico panel of 281 genes associated with non‐immune hydrops fetalis in clinical setting |
title_full_unstemmed | Diagnostic yield using whole‐genome sequencing and in‐silico panel of 281 genes associated with non‐immune hydrops fetalis in clinical setting |
title_short | Diagnostic yield using whole‐genome sequencing and in‐silico panel of 281 genes associated with non‐immune hydrops fetalis in clinical setting |
title_sort | diagnostic yield using whole‐genome sequencing and in‐silico panel of 281 genes associated with non‐immune hydrops fetalis in clinical setting |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804469/ https://www.ncbi.nlm.nih.gov/pubmed/35397126 http://dx.doi.org/10.1002/uog.24911 |
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