Artifacts, Not Differences in Sex Development, Are the Predominant Cause of Phenotypic Sex Discordance With Prenatal Cell‐Free DNA Screening: A Review of 33 Cases
ABSTRACT Objective Although fetal sex chromosome complement prediction by prenatal cell‐free DNA (cfDNA) screening is highly accurate, discordance between the cfDNA‐inferred chromosomal sex and phenotypic sex observed via ultrasonography or at birth, that is, “fetal sex discordance”, does rarely occur. Such discordance may be caused by differences in sex development (DSD) or technical or biological artifacts. This study aims to provide insights into the proportion of fetal sex discordance cases caused by DSD versus non‐DSD artifacts. Method We retrospectively reviewed 122,748 cases that underwent diagnostic testing at the Mayo Clinic Cytogenetics Laboratory between 2015 and 2023. Thirty‐three singleton‐gestation cases tested for fetal sex discordances were identified. Results Fetal sex discordance was attributed to non‐DSD artifacts in 24 (73%) of the 33 patients. In these cases, the phenotypic sex matched the chromosomal sex revealed by diagnostic cytogenetic testing. The remaining 9 patients included one with mosaic 46,X,psu idic(Y)(q11.21)/45,X, 5 with 46,XY DSD, and 3 with 46,XX DSD. Conclusion The majority of fetal sex discordance cases are caused by non‐DSD artifacts rather than DSD. Accurate clinical counseling of fetal sex discordance requires distinguishing between DSD and non‐DSD causes, emphasizing the need for diagnostic cytogenetic testing.
Importance Completion of the Human Genome Project prompted predictions that genomics would transform medicine, including through genomic screening that identifies potentially medically actionable findings that could prevent disease, detect it earlier, or treat it better. However, genomic screening remains anchored in research and largely unavailable as part of routine care. Objective To summarize 11 years of experience with genomic screening and explore the landscape of genomic screening efforts. Design, Setting, and Participants This cohort study was based in Geisinger’s MyCode Community Health Initiative, a genomic screening program in a rural Pennsylvania health care system in which patient-participants exomes are analyzed. Main Outcomes and Measures Genomic screen-positive rates were evaluated and stratified by condition type (cancer, cardiovascular, other) and US Centers for Disease Control and Prevention (CDC) Tier 1 designation. The proportion of participants previously unaware of their genomic result was assessed. Other large-scale population-based genomic screening efforts with genomic results disclosure were compiled from public resources. Results A total of 354 957 patients participated in Geisinger’s genomic screening program (median [IQR] age, 54 [36-69] years; 194 037 [59.7%] assigned female sex at birth). As of June 2024, 175 500 participants had exome sequencing available for analysis, and 5934 participants (3.4%) had a pathogenic variant in 81 genes known to increase risk for disease. Between 2013 and July 2024, 5119 results were disclosed to 5052 eligible participants, with 2267 (44.2%) associated with risk for cardiovascular disease, 2031 (39.7%) with risk for cancer, and 821 (16.0%) with risk for other conditions. Most results (3040 [59.4%]) were in genes outside of those with a CDC Tier 1 designation. Nearly 90% of participants (4425 [87.6%]) were unaware of their genomic risk prior to disclosure. In a survey of large-scale biobanks with genomic and electronic health record (EHR) data, only 25.0% (6 of 24) disclosed potentially actionable genomic results. Conclusions and Relevance In this large, genomics-informed cohort study from a single health system, 1 in 30 participants had a potentially actionable genomic finding. However, nearly 90% were unaware of their risk prior to screening, demonstrating the utility of genomic screening in identifying at-risk individuals. Most large-scale biobanks with genomic and EHR data did not return genomic results with potential medical relevance, missing opportunities to significantly improve genomic risk ascertainment for these individuals and to perform longitudinal studies of clinical and implementation outcomes in diverse settings.
ClinGen Allele Registry links information about genetic variants