Choate, Lauren A.

Abstract Background X and Y chromosome analysis is a critical component of genetic testing, used both diagnostically and as a quality control (QC) metric. Discordances between expected and observed sex chromosome data can arise due to mislabeling, demographic data errors, transplant history, or biological variations. Such discordances pose challenges to laboratories and affect patient care, particularly in marginalized populations and unique clinical contexts. Methods We reviewed cases of sex chromosome discordance identified at our laboratory from January 2021 through August 2023. Cases spanned various testing methods and were categorized by the root cause, including mislabeling, sample mix-ups, transgender individuals, stem cell transplants, and unexplained causes. Case outcomes were assessed, and potential resolutions were analyzed. Results Among 65 cases identified, the leading cause of discordance was mislabeling (n = 20, 31%), followed by other/not identified (n = 16, 25%), sample mix-ups (n = 13, 20%), transgender individuals (n = 9, 14%), and stem cell transplants (n = 7, 11%). Cases required additional QC processes such as reanalysis, clinician contact, and occasionally sample re-collection. The process extended turnaround times by up to 13 business days. Detailed case reviews highlighted the challenges and implications of managing these discordances, emphasizing the importance of accurate data transmission and inclusive practices. Conclusion Using X and Y chromosome data as a QC metric can identify critical errors but also introduces limitations and bias. Improved standardization, inclusive practices, and alternative QC methods are necessary to ensure accuracy and equitable patient care. Collaborative efforts are required to address demographic complexities and reduce testing delays.

Background: Autosomal recessive juvenile Parkinson disease (ARJP) is an early-onset neurodegenerative disorder characterized by Parkinsonian motor symptoms with slow progression and preserved cognition. Biallelic pathogenic variants within the PRKN gene are associated with ARJP. Among PRKN pathogenic variants, deletions are a frequent occurrence and may be identified through chromosomal microarray testing. Methods: Here we present a case with two intragenic PRKN deletions initially identified as a secondary finding using chromosomal microarray. One deletion was paternally inherited and the second initially appeared to be de novo. In addition to microarray which initially identified the two deletions, long-range GAP-PCR and Sanger sequencing were used to further characterize the de novo deletion and phase of the deletions. Results: Molecular characterization of the apparently de novo deletion demonstrated low-level maternal mosaicism of this deletion, thus proving that these deletions are in trans in the proband, yielding a diagnosis of autosomal recessive juvenile Parkinson disease. Conclusions: This case highlights the utility of a diagnostic approach combining microarray, long-range PCR, and Sanger sequencing to establish the phase and confirm biallelic PRKN deletions in a patient with ARJP. Furthermore, these findings highlight the importance of investigating the possibility of parental mosaicism to determine the phase of autosomal recessive variants and establish accurate recurrence risks.

Abstract Glioblastoma (GBM), IDH-wildtype (WT) is currently defined as an IDH-WT and H3-WT diffuse astrocytic glioma with molecular diagnostic features including whole +7/−10, TERT promoter (TERTp) mutation, and EGFR amplification and/or morphological diagnostic features such as necrosis and microvascular proliferation. To further understand the diversity of copy number signatures of GBM, IDHWT and evaluate the diagnostic utility of other recurrent copy number changes, we analyzed paired chromosomal microarray and next-generation sequencing mutational profiling data from 418 adult IDH-WT and H3-WT tumors with GBM morphological diagnostic features. The most common molecular features were TERTp mutations (85%), CDKN2A/B heterozygous/homozygous deletion (78%/66%), +7/-10 (63%), EGFR amplification (41%), +19 (36%), PTEN mutations (35%), partial -13 (33%), partial -14 (33%), +20 (32%), TP53 mutations (32%), and partial -22 (29%). At least one molecular diagnostic biomarker was present in 92% (n=385) of cases, and 29% (n=121) of cases had all three. The +7/-10 biomarker was the most frequent chromosomes 7/10 copy number change (68%, n=265). Other +7/-10 patterns were seen in 30% (n=125) of cases and included isolated +7 or -10, combinations of +7 and -10 with partial +7, partial -10 or 10 copy neutral loss of heterozygosity (cnLOH). Overall, 93% (390/418) of cases had whole and other chromosome 7/10 copy number changes. In comparison to tumors with +7/-10, tumors with other +7/-10 patterns were significantly enriched for partial 13 loss (Bonferroni adjusted p=0.04) but were not associated with significant difference in patient overall survival (p=0.30, 158/418 had available survival data). Our findings reiterate and expand the spectrum of copy number changes associated with GBM, IDH-WT. The similar overall survival rates between cases with the +7/-10 biomarker and those with other +7/-10 patterns suggest that other +7/-10 patterns may be functionally equivalent to +7/-10 and diagnostically relevant as a molecular diagnostic biomarker for this tumor type.

Abstract Background Despite clinically demonstrated accuracy in next generation sequencing (NGS) data, many clinical laboratories continue to confirm variants with Sanger sequencing, which increases cost of testing and turnaround time. Several studies have assessed the accuracy of NGS in detecting single nucleotide variants; however, less has been reported about insertion, deletion, and deletion-insertion variants (indels). Methods We performed a retrospective analysis from 2015–2022 of indel results from a subset of NGS targeted gene panel tests offered through the Mayo Clinic Genomics Laboratories. We compared results from NGS and Sanger sequencing of indels observed in clinical runs and during the intra-assay validation of the tests. Results Results demonstrated 100% concordance between NGS and Sanger sequencing for over 490 indels (217 unique), ranging in size from 1 to 68 basepairs (bp). The majority of indels were deletions (77%) and 1 to 5 bp in length (90%). Variant frequencies ranged from 11.4% to 67.4% and 85.1% to 100% for heterozygous and homozygous variants, respectively, with a median depth of coverage of 2562×. A subset of indels (7%) were located in complex regions of the genome, and these were accurately detected by NGS. We also demonstrated 100% reproducibility of indel detection (n = 179) during intra-assay validation. Conclusions Together this data demonstrates that reportable indel variants up to 68 bp can be accurately assessed using NGS, even when they occur in complex regions. Depending on the complexity of the region or variant, Sanger sequence confirmation of indels is usually not necessary if the variants meet appropriate coverage and allele frequency thresholds.

The MN1::ETV6 gene fusion resulting from t(12;22)(p13;q12) has been rarely reported in myeloid neoplasms. We describe a 69-year-old male with newly diagnosed acute myeloid leukemia (AML) with erythroid differentiation and t(12;22)(p13;q12) demonstrated by conventional chromosome studies. Subsequent fluorescence in situ hybridization studies demonstrated a balanced ETV6 gene rearrangement (at 12p13). To further characterize this translocation, whole-genome sequencing was performed which confirmed t(12;22) with breakpoints involving the MN1 and ETV6 genes. Herein, we describe our case and review the literature to summarize the clinical and laboratory findings in patients with this rare but recurrent MN1::ETV6 gene fusion observed in myeloid neoplasms. Importantly, this case expands the clinical spectrum associated with the MN1::ETV6 gene fusion to include AML with erythroid differentiation. Lastly, this case demonstrates the importance of moving toward more comprehensive molecular testing to fully characterize the driver events in neoplastic genomes.