Exploring the factors affecting classification and reporting of uncertain prenatal microarray findings, using a "virtual fetus" model-a pilot study.


Journal

Prenatal diagnosis
ISSN: 1097-0223
Titre abrégé: Prenat Diagn
Pays: England
ID NLM: 8106540

Informations de publication

Date de publication:
14 Feb 2024
Historique:
revised: 12 01 2024
received: 27 09 2023
accepted: 01 02 2024
medline: 14 2 2024
pubmed: 14 2 2024
entrez: 14 2 2024
Statut: aheadofprint

Résumé

Significant discrepancy exists between laboratories in classification and reporting of copy number variants (CNVs). Studies exploring factors affecting prenatal CNV management are rare. Our "virtual fetus" pilot study examines these factors. Ten prenatally diagnosed CNVs of uncertain significance (VUS) > 1Mb, encompassing OMIM-morbid genes, inherited from healthy parents, were classified by 15 MD geneticists from laboratory, prenatal, and preimplantation genetic testing (PGT) units. Geneticists addressed factors affecting classification, obligation to report, and recommendation for invasive testing or PGT. CNVs were classified likely benign (10.7%), VUS (74.7%), likely pathogenic (8.7%), or pathogenic (6.0%). Classification discrepancy was higher for losses versus gains. Classifying pathogenic/likely pathogenic was more common for losses (adjusted odds ratio [aOR] 10.9, 95% CI 1.55-76.9), and geneticists specializing in gynecology (aOR 4.9, 95% CI 1.03-23.3). 84.0% of respondents would report CNVs, depending on classification and family phenotype. Invasive testing in pregnancies was recommended for 29.3% of CNVs, depending on the classification and geneticist's specialization. PGT was recommended for 32.4%, depending on classification, experience years, and family's phenotype (38.0% for patients undergoing in vitro fertilization irrespectively, 26.7% otherwise). Factors affecting CNV classification/reporting are mainly dosage, family phenotype, geneticist specialization and experience. Understanding factors from our pilot study may facilitate developing an algorithm for clinical consensus and optimal management.

Identifiants

pubmed: 38353311
doi: 10.1002/pd.6535
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 The Authors. Prenatal Diagnosis published by John Wiley & Sons Ltd.

Références

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Auteurs

Rachel Michaelson-Cohen (R)

Faculty of Medicine, Medical Genetics Institute, Shaare Zedek Medical Center, Hebrew University of Jerusalem, Jerusalem, Israel.

Liat Sheelo Salzer (LS)

Sackler Faculty of Medicine, Raphael Recanati Genetics Institute, Rabin Medical Center, Tel Aviv University, Tel Aviv, Israel.

Dana Brabbing-Goldstein (D)

Sackler Faculty of Medicine, Raphael Recanati Genetics Institute, Rabin Medical Center, Tel Aviv University, Tel Aviv, Israel.

Yuval Yaron (Y)

Sackler Faculty of Medicine, The Genetics Institute and Genomics Center, Sourasky Medical Center, Tel Aviv University, Tel Aviv, Israel.

Adi Reches (A)

Sackler Faculty of Medicine, The Genetics Institute and Genomics Center, Sourasky Medical Center, Tel Aviv University, Tel Aviv, Israel.

Hagith Yonath (H)

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

Miriam Regev (M)

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

Hagit Shani (H)

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

Gheona Altarescu (G)

Faculty of Medicine, Medical Genetics Institute, Shaare Zedek Medical Center, Hebrew University of Jerusalem, Jerusalem, Israel.

Reeval Segel (R)

Faculty of Medicine, Medical Genetics Institute, Shaare Zedek Medical Center, Hebrew University of Jerusalem, Jerusalem, Israel.

Rivka Sukenik-Halevy (R)

Genetics Institute, Meir Medical Center, Sackler School of Medicine, Tel Aviv University, Kfar Saba, Central, Israel.

Hagit Daum (H)

Department of Genetics, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.

Tamar Harel (T)

Department of Genetics, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.

Vardiella Meiner (V)

Department of Genetics, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.

Lina Basel-Salmon (L)

Sackler Faculty of Medicine, Raphael Recanati Genetics Institute, Rabin Medical Center, Tel Aviv University, Tel Aviv, Israel.

Lena Sagi-Dain (L)

Genetics Institute, Carmel Medical Center, Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.

Idit Maya (I)

Sackler Faculty of Medicine, Raphael Recanati Genetics Institute, Rabin Medical Center, Tel Aviv University, Tel Aviv, Israel.

Classifications MeSH