Genetics in Medicine · 2021 · 14 citations · 20 references
Life SciencesGeneticsMolecular GeneticsGenomicsMedical GeneticsNeoplasiaMolecular Classification Of TumorsMolecular Tumor ProfilingRare Disease GeneticsRare Disease GenomicsRare Variant AnalysisVariant InterpretationMissense MutationsMissense Variant AnalysisMissense Variant InterpretationParaganglioma GeneticsRare Genetic VariantsRare Variant DiscoveryRare Variant InterpretationVariant Pathogenicity Interpretation
PURPOSE: The weight of the evidence to attach to observation of a novel rare missense variant in SDHB or SDHD in individuals with the rare neuroendocrine tumors, pheochromocytomas and paragangliomas (PCC/PGL), is uncertain. METHODS: We compared the frequency of SDHB and SDHD very rare missense variants (VRMVs) in 6328 and 5847 cases of PCC/PGL, respectively, with that of population controls to generate a pan-gene VRMV likelihood ratio (LR). Via windowing analysis, we measured regional enrichments of VRMVs to calculate the domain-specific VRMV-LR (DS-VRMV-LR). We also calculated subphenotypic LRs for variant pathogenicity for various clinical, histologic, and molecular features. RESULTS: We estimated the pan-gene VRMV-LR to be 76.2 (54.8-105.9) for SDHB and 14.8 (8.7-25.0) for SDHD. Clustering analysis revealed an SDHB enriched region (ɑɑ 177-260, P = .001) for which the DS-VRMV-LR was 127.2 (64.9-249.4) and an SDHD enriched region (ɑɑ 70-114, P = .000003) for which the DS-VRMV-LR was 33.9 (14.8-77.8). Subphenotypic LRs exceeded 6 for invasive disease (SDHB), head-and-neck disease (SDHD), multiple tumors (SDHD), family history of PCC/PGL, loss of SDHB staining on immunohistochemistry, and succinate-to-fumarate ratio >97 (SDHB, SDHD). CONCLUSION: Using methodology generalizable to other gene-phenotype dyads, the LRs relating to rarity and phenotypic specificity for a single observation in PCC/PGL of a SDHB/SDHD VRMV can afford substantial evidence toward pathogenicity.
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A global reference for human genetic variation
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Lauren Fishbein, Ignaty Leshchiner, Vonn Walter et al. · Cancer Cell · 2017 · 783 citations · Full text