Clinical utility of regions of homozygosity (ROH) identified in exome sequencing: when to pursue confirmatory uniparental disomy testing for imprinting disorders?

OBJECTIVES: Regions of homozygosity (ROH) could implicate uniparental disomy (UPD) on specific chromosomes associated with imprinting disorders. Though the algorithms for ROH detection in exome sequencing (ES) have been developed, optimal reporting thresholds and when to pursue confirmatory UPD testing for imprinting disorders remain in ambiguity. This study used a data-driven approach to assess optimal reporting thresholds of ROH in clinical practice. METHODS: ROH analysis was performed using Automap in a retrospective cohort of 8,219 patients and a prospective cohort of 1,964 patients with ES data. Cases with ROH on imprinting-disorders related chromosomes were selected for additional methylation-specific confirmatory testing. The diagnostic yield, the ROH pattern of eventually diagnosed cases and optimal thresholds for confirmatory testing were analyzed. RESULTS: In the retrospective analysis, 15 true UPD cases of imprinting disorders were confirmed among 51 suspected cases by ROH detection. Pattern of ROH differed between confirmed UPD and non-UPD cases. Maximized yield and minimized false discovery rate of confirmatory UPD testing was achieved at the thresholds of >20 Mb or >25 % chromosomal coverage for interstitial ROH, and >5 Mb for terminal ROH. Current recommendation by ACMG was nearly optimal, though refined thresholds as proposed in this study could reduce the workload by 31 % without losing any true UPD diagnosis. Our refined thresholds remained optimal after independent evaluation in a prospective cohort. CONCLUSIONS: ROH identified in ES could implicate the presence of clinically relevant UPD. This study recommended size and coverage thresholds for confirmatory UPD testing after ROH detection in ES, contributing to the development of evidence-based reporting guidelines.

Detecting regions of homozygosity improves the diagnosis of pathogenic variants and uniparental disomy in pediatric patients.

Chromosomal microarray analysis using single nucleotide polymorphism probes can detect regions of homozygosity (ROH). This confers a potential utility in revealing autosomal recessive (AR) diseases and uniparental disomy (UPD). Results of genetic testing among pediatric patients from 2015 to 2019 were evaluated. Diagnostic findings with detected ROH from large consecutive case series in the literature were reviewed. Of 2050 pediatric patients, 65 (3%) had one or more ROH and 31 (53%) had follow-up whole exome sequencing (WES) and methylation studies. Seven homozygous variants were detected and four of them from three patients (9.6%) were within the detected ROH and classified as pathogenic or likely pathogenic variants for AR diseases. One patient (3%) had segmental UPD15q for a diagnosis of Prader-Willi syndrome. Additive diagnostic yield from ROH reporting was at least 0.2% (4/2050) of pediatric patients. These results were consistent with findings from several large case series reported in the literature. Detecting ROH had an estimated baseline predictive value of 10% for AR diseases and 3% for UPD. Consanguinity revealed by multiple ROH was a strong predictor for AR diseases. These results provide evidence for genetic counseling and recommendation of follow-up WES and methylation studies for pediatric patients reported with ROH.

Analytical validation and chromosomal distribution of regions of homozygosity by oligonucleotide array comparative genomic hybridization from normal prenatal and postnatal case series.

BACKGROUND: Regions of homozygosity (ROH) are continuous homozygous segments commonly seen in the human genome. The integration of single nucleotide polymorphism (SNP) probes into current array comparative genomic hybridization (aCGH) analysis has enabled the detection of the ROH. However, for detecting and reporting biologically relevant ROH in a clinical setting, it is necessary to assess the analytical validity of SNP calling and the chromosomal distribution of ROH in normal populations. METHODS: The analytical validity was evaluated by correlating the consistency of SNP calling with the quality parameters of aCGH and by accessing the accuracy of SNP calling using PCR based restriction enzyme digestion and Sanger sequencing. The distribution of ROH was evaluated by the numbers, sizes, locations, and frequencies of ROH from the collection of data from parental, postnatal, and prenatal case series that had normal aCGH and chromosome results. RESULTS: The SNP calling failure rate was 20-30% with a derivative Log2 ratio (DLR) below 0.2 and increased significantly to 30-40% with DLR of 0.2-0.4. The accuracy of SNP calling is 93%. Of the 958 cases tested, 34% had no ROH, 64% had one to four ROH, and less than 1% had more than five ROH. Of the 1196 ROH detected, 95% were less than 10 Mb. The distribution of numbers and sizes of ROH showed no differences among the parental, pediatric and prenatal case series and test tissues. The chromosomal distribution of ROH was non-random with ROH seen most frequently in chromosome 8, less frequently in chromosomes 2, 6, 10, 12, 11 and 18, and most rarely seen on chromosomes 15, 19, 21 and 22. Recurrent ROH occurring with a frequency greater than 1% were detected in 17 chromosomal loci which locates either in the pericentric or interstitial regions. CONCLUSION: With a quality control parameter of DLR set at below 0.2, the consistency of SNP calling would be 75%, the accuracy of SNP call could be 93%, and the observed chromosomal distribution of ROH could be used as a reference. This aCGH analysis could be a reliable screening tool to document biologically relevant ROH and recommend further molecular analysis.