Arya Shambhavi Department of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India Correspondence to: Arya ShambhaviEmail:aryashambhavi.gc@gmail.com
1 Variant interpretation in molecular autopsy (Scheiper-Welling et al., 2022)
The etiological diagnosis of sudden death is important for cascade testing of the relatives and preventive
actions in individuals identified to be susceptible to sudden death. Molecular autopsy by next-generation
sequencing (NGS) of the patients where detailed autopsy and histology has failed to identify the cause of
death can be useful. With this objective this study investigated the genetic etiology of sudden cardiac
death (SCD) among victims (age 1 year-50 years). Patients with acute drug abuse or myocardial infarction
were excluded. NGS-based cardio panel focusing on genes associated with cardiac channelopathies and
cardiomyopathies was used to study 56 deceased victims. Fifty-three rare protein-altering variants in 32 different genes
were identified out of the 93 genes investigated. Among them, 17 variants were identified in genes with
strong disease association while another 36 variants were identified in genes with low disease association.
Most of the variants (51 out of 53 variants) found in this study were variants of uncertain significance
(VUS) owing to lack of appropriate medical records and family history. VUS cannot be used for screening
family members as this may lead to unnecessary anxiety and interventions. Seven cases had potentially
actionable variants (two pathogenic and five potentially pathogenic). The large number of VUS detected by
current data suggests the need for multidisciplinary team for analysis and guidelines for forensic NGS-based
testing.
2 Detection of exon 7 deletion in SMN1 through next-generation sequencing (Zhao et al., 2022)
NGS-based tests incorporating SMN1 and SMN2 copy number analyses are being employed widely for expanded carrier
screening of couples, without the need for a second method validation. However, its performance has not been fully
evaluated. In this study, 478 samples were re-analyzed with multiplex ligation-dependent probe amplification
(MLPA), quantitative polymerase chain reaction (qPCR) and NGS for SMN1 gene copy number. NGS could
identify homozygous deletion as well as heterozygous deletion in the study. The sensitivity, specificity, and
precision were all 100% which was higher than that of qPCR. Both NGS and qPCR methods showed 100%
reproducibility for SMN1 homozygous deletions, while for heterozygous deletions and non-deletion, NGS had higher
repeatability relative to the qPCR method. With the same quality of DNA, the retest rate of NGS was the lowest
(2.74%) as compared to MLPA and qPCR methods (6.69% and 5% respectively). In conclusion, NGS is
a promising and fairly reliable method for expanded carrier screening for SMA caused by SMN1 exon 7
deletion.
3 Reclassification of putative splicing variants through RNA diagnostics (Bournazos et al., 2021)
In this study, the authors have devised standardized practices for PCR-based RNA diagnostics using clinically accessible
specimens like blood, fibroblasts, urothelial cells, and biopsy tissue. A total of 74 families were recruited wherein a
putative splicing variant was identified. Of the variants studied, 19% were those that affected the canonical
GT-AG splice sites, 71% that affected the extended splice donor or acceptor sites, 27% were exonic variants
and 2 were structural/copy number variants. PCR-based RNA assay was employed where total RNA was
extracted from clinical accessible tissues followed by cDNA conversion. Probes were designed for splice
junction or lack of splice junction e.g., intron retention followed by PCR and sequencing. This assay helped
in reclassification of 75% variants (58 cases) and also informed about mis-splicing events. Additionally,
in two cases, the assay confirmed no evidence for mis-splicing which enabled reclassification into benign
variants. For comparative evaluation of diagnostic utility, RNA-seq was performed in 19 cases studied by
RNA-based assay which revealed that RNA-seq was non-diagnostic for 60% of cases because of low read
depth.
4 Analysis of missense variants in the human genome reveals widespread gene-specific clustering (Quinodoz et al.,
2022)
The study investigated if clustering of missense variants could be a general feature of the entire human genome or is
limited to a few specific loci, gene/ protein families or conserved domains. All pathogenic and likely pathogenic (PLP) and
benign and likely benign (BLB) variants reported in ClinVar were extracted. These variants were used to build positional
scores or MutScore by computing maximal allele frequency in gnomAD database of all PLP variants for every
gene using a random forest approach. The study found that clustering of pathogenic missense variants
occurs in almost half of all human genes, genome-wide, and about 18% of the clustering is highly delimited.
Likewise, clustering also occurs in benign missense variants in approximately 20% of all genes associated with
hereditary condition. They have also identified that PLP variants associated with dominant conditions
are mostly identified in clusters while most recessive missense variations are dispersed along the protein
sequence.
References
1. Bournazos AM, et al. Standardized practices for RNA diagnostics using clinically accessible specimens
reclassifies 75% of putative splicing variants. Genet Med. 2022; 24: 130–145.
2. Quinodoz M, et al. Analysis of missense variants in the human genome reveals widespread gene-specific
clustering and improves prediction of pathogenicity. Am J Hum Genet. 2022; 109: 457–470.
3. Scheiper-Welling S, et al. Variant interpretation in molecular autopsy: a useful dilemma. Int J Legal Med.
2022; 136: 475–482.
4. Zhao S, et al. Next generation sequencing is a highly reliable method to analyze exon 7 deletion of survival
motor neuron 1 (SMN1) gene. Sci Rep. 2022; 12: 223.