Exploring the factors affecting classification and reporting of uncertain prenatal microarray findings, using a “virtual fetus” model‐a pilot study

Author:

Michaelson‐Cohen Rachel1ORCID,Salzer Liat Sheelo2,Brabbing‐Goldstein Dana2,Yaron Yuval3ORCID,Reches Adi3,Yonath Hagith4,Regev Miriam4,Shani Hagit4,Altarescu Gheona1,Segel Reeval1,Sukenik‐Halevy Rivka5,Daum Hagit6ORCID,Harel Tamar6,Meiner Vardiella6,Basel‐Salmon Lina2,Sagi‐Dain Lena7ORCID,Maya Idit2

Affiliation:

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

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

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

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

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

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

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

Abstract

AbstractObjectiveSignificant 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.MethodTen 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.ResultsCNVs 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).ConclusionFactors 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.

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prenatal detection of copy number variants;Best Practice & Research Clinical Obstetrics & Gynaecology;2024-12

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