Sensitivity and specificity of loss of heterozygosity analysis for the classification of rare germline variants in BRCA1/2: results of the observational AGO-TR1 study (NCT02222883).
Jan HaukePhilipp HarterCorinna ErnstAlexander BurgesSandra SchmidtAlexander ReussJulika BordeNikolaus De GregorioDimo DietrichAhmed El-BalatMohamad KayaliHeidrun GevenslebenFelix HilpertJanine AltmüllerAndré HeimbachWerner MeierBirgid Schoemig-MarkiefkaHolger ThieleRainer KimmigPeter NürnbergKarin KastLisa RichtersJalid SehouliRita K SchmutzlerEric HahnenPublished in: Journal of medical genetics (2020)
Variant-specific loss of heterozygosity (LOH) analyses may be useful to classify BRCA1/2 germline variants of unknown significance (VUS). The sensitivity and specificity of this approach, however, remains unknown. We performed comparative next-generation sequencing analyses of the BRCA1/2 genes using blood-derived and tumour-derived DNA of 488 patients with ovarian cancer enrolled in the observational AGO-TR1 trial (NCT02222883). Overall, 94 pathogenic, 90 benign and 24 VUS were identified in the germline. A significantly increased variant fraction (VF) of a germline variant in the tumour indicates loss of the wild-type allele; a decreased VF indicates loss of the variant allele. We demonstrate that significantly increased VFs predict pathogenicity with high sensitivity (0.84, 95% CI 0.77 to 0.91), poor specificity (0.63, 95% CI 0.53 to 0.73) and poor positive predictive value (PPV; 0.71, 95% CI 0.62 to 0.79). Significantly decreased VFs predict benignity with low sensitivity (0.26, 95% CI 0.17 to 0.35), high specificity (1.0, 95% CI 0.96 to 1.00) and PPV (1.0, 95% CI 0.85 to 1.00). Variant classification based on significantly increased VFs results in an unacceptable proportion of false-positive results. A significantly decreased VF in the tumour may be exploited as a reliable predictor for benignity, with no false-negative result observed. When applying the latter approach, VUS identified in four patients can now be considered benign. Trial registration number NCT02222883.
Keyphrases
- dna repair
- copy number
- end stage renal disease
- machine learning
- deep learning
- clinical trial
- study protocol
- phase iii
- structural basis
- chronic kidney disease
- ejection fraction
- prognostic factors
- randomized controlled trial
- genome wide
- staphylococcus aureus
- cross sectional
- peritoneal dialysis
- patient reported outcomes
- biofilm formation
- gene expression
- breast cancer risk
- single molecule
- candida albicans
- genome wide identification
- circulating tumor cells