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Exploring the factors affecting classification and reporting of uncertain prenatal microarray findings, using a "virtual fetus" model-a pilot study.
Michaelson-Cohen, Rachel; Salzer, Liat Sheelo; Brabbing-Goldstein, Dana; Yaron, Yuval; Reches, Adi; Yonath, Hagith; Regev, Miriam; Shani, Hagit; Altarescu, Gheona; Segel, Reeval; Sukenik-Halevy, Rivka; Daum, Hagit; Harel, Tamar; Meiner, Vardiella; Basel-Salmon, Lina; Sagi-Dain, Lena; Maya, Idit.
Afiliación
  • Michaelson-Cohen R; Faculty of Medicine, Medical Genetics Institute, Shaare Zedek Medical Center, Hebrew University of Jerusalem, Jerusalem, Israel.
  • Salzer LS; Sackler Faculty of Medicine, Raphael Recanati Genetics Institute, Rabin Medical Center, Tel Aviv University, Tel Aviv, Israel.
  • Brabbing-Goldstein D; Sackler Faculty of Medicine, Raphael Recanati Genetics Institute, Rabin Medical Center, Tel Aviv University, Tel Aviv, Israel.
  • Yaron Y; Sackler Faculty of Medicine, The Genetics Institute and Genomics Center, Sourasky Medical Center, Tel Aviv University, Tel Aviv, Israel.
  • Reches A; Sackler Faculty of Medicine, The Genetics Institute and Genomics Center, Sourasky Medical Center, Tel Aviv University, Tel Aviv, Israel.
  • Yonath H; Sackler Faculty of Medicine, Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel.
  • Regev M; Sackler Faculty of Medicine, Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel.
  • Shani H; Sackler Faculty of Medicine, Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel.
  • Altarescu G; Faculty of Medicine, Medical Genetics Institute, Shaare Zedek Medical Center, Hebrew University of Jerusalem, Jerusalem, Israel.
  • Segel R; Faculty of Medicine, Medical Genetics Institute, Shaare Zedek Medical Center, Hebrew University of Jerusalem, Jerusalem, Israel.
  • Sukenik-Halevy R; Genetics Institute, Meir Medical Center, Sackler School of Medicine, Tel Aviv University, Kfar Saba, Central, Israel.
  • Daum H; Department of Genetics, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
  • Harel T; Department of Genetics, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
  • Meiner V; Department of Genetics, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
  • Basel-Salmon L; Sackler Faculty of Medicine, Raphael Recanati Genetics Institute, Rabin Medical Center, Tel Aviv University, Tel Aviv, Israel.
  • Sagi-Dain L; Genetics Institute, Carmel Medical Center, Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
  • Maya I; Sackler Faculty of Medicine, Raphael Recanati Genetics Institute, Rabin Medical Center, Tel Aviv University, Tel Aviv, Israel.
Prenat Diagn ; 44(4): 511-518, 2024 04.
Article en En | MEDLINE | ID: mdl-38353311
ABSTRACT

OBJECTIVE:

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.

METHOD:

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.

RESULTS:

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).

CONCLUSION:

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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variaciones en el Número de Copia de ADN / Feto Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: Prenat Diagn Año: 2024 Tipo del documento: Article País de afiliación: Israel

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variaciones en el Número de Copia de ADN / Feto Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: Prenat Diagn Año: 2024 Tipo del documento: Article País de afiliación: Israel