Evaluation of Diagnostic Yield in Fetal Whole-Exome Sequencing: A Report on 45 Consecutive Families.

clinical genetics congenital anomalies prenatal diagnosis ultrasound abnormalities whole-exome sequencing (WES)

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2019
Historique:
received: 17 11 2018
accepted: 17 04 2019
entrez: 21 8 2019
pubmed: 21 8 2019
medline: 21 8 2019
Statut: epublish

Résumé

Prenatal ultrasound (US) abnormalities often pose a clinical dilemma and necessitate facilitated investigations in the search of diagnosis. The strategy of pursuing fetal whole-exome sequencing (WES) for pregnancies complicated by abnormal US findings is gaining attention, but the reported diagnostic yield is variable. In this study, we describe a tertiary center's experience with fetal WES from both terminated and ongoing pregnancies, and examine the clinical factors affecting the diagnostic rate. A total of 45 consecutive families of Jewish descent were included in the analysis, for which clinical fetal WES was performed under either single (fetus only), trio (fetus and parents) or quatro (two fetuses and parents) design. Except one, all families were non-consanguineous. In 41 of the 45 families, WES was sought following abnormal fetal US findings, and 18 of them had positive relevant family history (two or more fetuses with US abnormalities, or single fetus with US abnormalities and an affected parent). The overall diagnostic yield was 28.9% (13/45 families), and 31.7% among families with fetal US abnormalities (13/41). It was significantly higher in families with prenatal US abnormalities and relevant family history (10/18, 55.6%), compared to families with prenatal US abnormal findings and lack of such history (3/23, 13%) (

Identifiants

pubmed: 31428121
doi: 10.3389/fgene.2019.00425
pmc: PMC6688107
doi:

Types de publication

Journal Article

Langues

eng

Pagination

425

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Auteurs

Lior Greenbaum (L)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.
The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel Hashomer, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Ben Pode-Shakked (B)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Shlomit Eisenberg-Barzilai (S)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.

Michal Dicastro-Keidar (M)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.

Anat Bar-Ziv (A)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.

Nurit Goldstein (N)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.

Haike Reznik-Wolf (H)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.

Hana Poran (H)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.

Amihai Rigbi (A)

Faculty of Education, Beit Berl College, Kfar Saba, Israel.

Ortal Barel (O)

Sheba Cancer Research Center, Sheba Medical Center, Tel Hashomer, Israel.

Aida M Bertoli-Avella (AM)

Centogene AG, Rostock, Germany.

Peter Bauer (P)

Centogene AG, Rostock, Germany.

Miriam Regev (M)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Annick Raas-Rothschild (A)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Elon Pras (E)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Michal Berkenstadt (M)

The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Classifications MeSH