Evidence-based recommendations for gene-specific ACMG/AMP variant classification from the ClinGen ENIGMA BRCA1 and BRCA2 Variant Curation Expert Panel.

The ENIGMA research consortium develops and applies methods to determine clinical significance of variants in hereditary breast and ovarian cancer genes. An ENIGMA BRCA1/2 classification sub-group, formed in 2015 as a ClinGen external expert panel, evolved into a ClinGen internal Variant Curation Expert Panel (VCEP) to align with Food and Drug Administration recognized processes for ClinVar contributions. The VCEP reviewed American College of Medical Genetics and Genomics/Association of Molecular Pathology (ACMG/AMP) classification criteria for relevance to interpreting BRCA1 and BRCA2 variants. Statistical methods were used to calibrate evidence strength for different data types. Pilot specifications were tested on 40 variants and documentation revised for clarity and ease of use. The original criterion descriptions for 13 evidence codes were considered non-applicable or overlapping with other criteria. Scenario of use was extended or re-purposed for eight codes. Extensive analysis and/or data review informed specification descriptions and weights for all codes. Specifications were applied to pilot variants with pre-existing ClinVar classification as follows: 13 uncertain significance or conflicting, 14 pathogenic and/or likely pathogenic, and 13 benign and/or likely benign. Review resolved classification for 11/13 uncertain significance or conflicting variants and retained or improved confidence in classification for the remaining variants. Alignment of pre-existing ENIGMA research classification processes with ACMG/AMP classification guidelines highlighted several gaps in the research processes and the baseline ACMG/AMP criteria. Calibration of evidence strength was key to justify utility and strength of different data types for gene-specific application. The gene-specific criteria demonstrated value for improving ACMG/AMP-aligned classification of BRCA1 and BRCA2 variants.

Dutch genome diagnostic laboratories accelerated and improved variant interpretation and increased accuracy by sharing data.

Each year diagnostic laboratories in the Netherlands profile thousands of individuals for heritable disease using next-generation sequencing (NGS). This requires pathogenicity classification of millions of DNA variants on the standard 5-tier scale. To reduce time spent on data interpretation and increase data quality and reliability, the nine Dutch labs decided to publicly share their classifications. Variant classifications of nearly 100,000 unique variants were catalogued and compared in a centralized MOLGENIS database. Variants classified by more than one center were labeled as "consensus" when classifications agreed, and shared internationally with LOVD and ClinVar. When classifications opposed (LB/B vs. LP/P), they were labeled "conflicting", while other nonconsensus observations were labeled "no consensus". We assessed our classifications using the InterVar software to compare to ACMG 2015 guidelines, showing 99.7% overall consistency with only 0.3% discrepancies. Differences in classifications between Dutch labs or between Dutch labs and ACMG were mainly present in genes with low penetrance or for late onset disorders and highlight limitations of the current 5-tier classification system. The data sharing boosted the quality of DNA diagnostics in Dutch labs, an initiative we hope will be followed internationally. Recently, a positive match with a case from outside our consortium resulted in a more definite disease diagnosis.

Best practice guidelines for the use of next-generation sequencing applications in genome diagnostics: a national collaborative study of Dutch genome diagnostic laboratories.

Next-generation sequencing (NGS) methods are being adopted by genome diagnostics laboratories worldwide. However, implementing NGS-based tests according to diagnostic standards is a challenge for individual laboratories. To facilitate the implementation of NGS in Dutch laboratories, the Dutch Society for Clinical Genetic Laboratory Diagnostics (VKGL) set up a working group in 2012. The results of their discussions are presented here. We provide best practice guidelines and criteria for implementing and validating NGS applications in a clinical setting. We introduce the concept of "diagnostic yield" as the main performance characteristic for evaluating diagnostic tests. We recommend that the laboratory procedures, including the tested genes, should be recorded in a publicly available document describing the complete "diagnostic routing." We also propose that laboratories should use a list of "core disease genes" for specific genetic diseases. This core list contains the essential genes for each disease, and they should all be included in a diagnostic test to establish a reliable and accurate molecular diagnosis. The guidelines will ensure a clear and standardized quality of care provided by genetic diagnostic laboratories. The best practice guidelines and criteria that are presented here were adopted by the VKGL in January 2013.

Ablepharon macrostomia syndrome: A distinct genetic entity clinically related to the group of FRAS-FREM complex disorders.

Ablepharon macrostomia syndrome (AMS; OMIM 200110) is an extremely rare congenital malformation syndrome. It overlaps clinically with Fraser syndrome (FS; OMIM 219000), which is known to be caused by mutations in either FRAS1, FREM2, or GRIP1, encoding components of a protein complex that plays a role in epidermal-dermal interactions during morphogenetic processes. We explored the hypothesis that AMS might be either allelic to FS or caused by mutations in other genes encoding known FRAS1 interacting partners. No mutation in either of these genes was found in a cohort of 11 patients with AMS from 10 unrelated families. These findings demonstrate that AMS is genetically distinct from FS. It is proposed that it constitutes a separate entity within the group of FRAS-FREM complex disorders.

Mutations in GRIP1 cause Fraser syndrome.

BACKGROUND: Fraser syndrome (FS) is a autosomal recessive malformation syndrome characterised by cryptophthalmos, syndactyly and urogenital defects. FS is a genetically heterogeneous condition. Thus far, mutations in FRAS1 and FREM2 have been identified as cause of FS. Both FRAS1 and FREM2 encode extracellular matrix proteins that are essential for the adhesion between epidermal basement membrane and the underlying dermal connective tissues during embryonic development. Mutations in murine Grip1, which encodes a scaffolding protein that interacts with Fras1/Frem proteins, result in FS-like defects in mice. OBJECTIVE: To test GRIP1 for genetic variants in FS families that do not have mutations in FRAS1 and FREM2. METHODS AND RESULTS: In three unrelated families with parental consanguinity, GRIP1 mutations were found to segregate with the disease in an autosomal recessive manner (donor splice site mutation NM_021150.3:c.2113+1G→C in two families and a 4-bp deletion, NM_021150.3:c.1181_1184del in the third). RT-PCR analysis of the GRIP1 mRNA showed that the c.2113+1G→C splice mutation causes skipping of exon 17, leading to a frame shift and a premature stop of translation. CONCLUSION: Mutations in GRIP1 cause classic FS in humans.

Recommendations for the clinical interpretation and reporting of copy number gains using gene panel NGS analysis in routine diagnostics.

Next-generation sequencing (NGS) panel analysis on DNA from formalin-fixed paraffin-embedded (FFPE) tissue is increasingly used to also identify actionable copy number gains (gene amplifications) in addition to sequence variants. While guidelines for the reporting of sequence variants are available, guidance with respect to reporting copy number gains from gene-panel NGS data is limited. Here, we report on Dutch consensus recommendations obtained in the context of the national Predictive Analysis for THerapy (PATH) project, which aims to optimize and harmonize routine diagnostics in molecular pathology. We briefly discuss two common approaches to detect gene copy number gains from NGS data, i.e., the relative coverage and B-allele frequencies. In addition, we provide recommendations for reporting gene copy gains for clinical purposes. In addition to general QC metrics associated with NGS in routine diagnostics, it is recommended to include clinically relevant quantitative parameters of copy number gains in the clinical report, such as (i) relative coverage and estimated copy numbers in neoplastic cells, (ii) statistical scores to show significance (e.g., z-scores), and (iii) the sensitivity of the assay and restrictions of NGS-based detection of copy number gains. Collectively, this information can guide clinical and analytical decisions such as the reliable detection of high-level gene amplifications and the requirement for additional in situ assays in case of borderline results or limited sensitivity.

Next-generation sequencing in NSCLC and melanoma patients: a cost and budget impact analysis.

Next-generation sequencing (NGS) has reached the molecular diagnostic laboratories. Although the NGS technology aims to improve the effectiveness of therapies by selecting the most promising therapy, concerns are that NGS testing is expensive and that the 'benefits' are not yet in relation to these costs. In this study, we give an estimation of the costs and an institutional and national budget impact of various types of NGS tests in non-small-cell lung cancer (NSCLC) and melanoma patients within The Netherlands. First, an activity-based costing (ABC) analysis has been conducted on the costs of two examples of NGS panels (small- and medium-targeted gene panel (TGP)) based on data of The Netherlands Cancer Institute (NKI). Second, we performed a budget impact analysis (BIA) to estimate the current (2015) and future (2020) budget impact of NGS on molecular diagnostics for NSCLC and melanoma patients in The Netherlands. Literature, expert opinions, and a data set of patients within the NKI (n = 172) have been included in the BIA. Based on our analysis, we expect that the NGS test cost concerns will be limited. In the current situation, NGS can indeed result in higher diagnostic test costs, which is mainly related to required additional tests besides the small TGP. However, in the future, we expect that the use of whole-genome sequencing (WGS) will increase, for which it is expected that additional tests can be (partly) avoided. Although the current clinical benefits are expected to be limited, the research potentials of NGS are already an important advantage.

Discovery of variants unmasked by hemizygous deletions.

Array-based genome-wide segmental aneuploidy screening detects both de novo and inherited copy number variations (CNVs). In sporadic patients de novo CNVs are interpreted as potentially pathogenic. However, a deletion, transmitted from a healthy parent, may be pathogenic if it overlaps with a mutated second allele inherited from the other healthy parent. To detect such events, we performed multiplex enrichment and next-generation sequencing of the entire coding sequence of all genes within unique hemizygous deletion regions in 20 patients (1.53 Mb capture footprint). Out of the detected 703 non-synonymous single-nucleotide variants (SNVs), 8 represented variants being unmasked by a hemizygous deletion. Although evaluation of inheritance patterns, Grantham matrix scores, evolutionary conservation and bioinformatic predictions did not consistently indicate pathogenicity of these variants, no definitive conclusions can be drawn without functional validation. However, in one patient with severe mental retardation, lack of speech, microcephaly, cheilognathopalatoschisis and bilateral hearing loss, we discovered a second smaller deletion, inherited from the other healthy parent, resulting in loss of both alleles of the highly conserved heat shock factor binding protein 1 (HSBP1) gene. Conceivably, inherited deletions may unmask rare pathogenic variants that may exert a phenotypic impact through a recessive mode of gene action.

High-resolution mapping of heterochromatin redistribution in a Drosophila position-effect variegation model.

BACKGROUND: Position-effect variegation (PEV) is the stochastic transcriptional silencing of a gene positioned adjacent to heterochromatin. white-mottled X-chromosomal inversions in Drosophila are classic PEV models that show variegation of the eye color gene white due to its relocation next to pericentric heterochromatin. It has been suggested that in these models the spreading of heterochromatin across the rearrangement breakpoint causes the silencing of white. However, the extent of this spreading and the precise pattern of heterochromatin redistribution have remained unclear. To obtain insight into the mechanism of PEV, we constructed high-resolution binding maps of Heterochromatin Protein 1 (HP1) on white-mottled chromosomes. RESULTS: We find that HP1 invades euchromatin across the inversion breakpoints over approximately 175 kb and approximately 30 kb, causing de novo association of HP1 with 20 genes. However, HP1 binding levels in these regions show substantial local variation, and white is the most strongly bound gene. Remarkably, white is also the only gene that is detectably repressed by heterochromatin. Furthermore, we find that HP1 binding to the invaded region is particularly sensitive to the dosage of the histone methyltransferase Su(var)3-9, indicating that the de novo formed heterochromatin is less stable than naturally occurring constitutive heterochromatin. CONCLUSION: Our molecular maps demonstrate that heterochromatin can invade a normally euchromatic region, yet the strength of HP1 binding and effects on gene expression are highly dependent on local context. Our data suggest that the white gene has an unusual intrinsic affinity for heterochromatin, which may cause this gene to be more sensitive to PEV than most other genes.

Detection of in vivo protein-DNA interactions using DamID in mammalian cells.

Understanding gene regulatory networks in mammalian cells requires detailed knowledge of protein-DNA interactions. Commonly used methods for genome-wide mapping of these interactions are based on chromatin immunoprecipitation. However, these methods have some drawbacks, such as the use of crosslinking reagents, the need for highly specific antibodies and relatively large amounts of starting material. We present DamID, an alternative technique to map genome-wide occupancy of interaction sites in vivo, that bypasses these limitations. DamID is based on the expression of a fusion protein consisting of a protein of interest and DNA adenine methyltransferase (Dam). This leads to methylation of adenines near sites where the protein of interest interacts with the DNA. These methylated sequences are subsequently amplified by a methylation-specific PCR protocol and identified by hybridization to microarrays. Using DamID, genome-wide maps of the binding of DNA-interacting proteins in mammalian cells can be constructed efficiently. Depending on the strategy used for expression of the Dam-fusion proteins, genome-wide binding maps can be obtained in as little as 2 weeks.

Human heterochromatin proteins form large domains containing KRAB-ZNF genes.

Heterochromatin is important for gene regulation and chromosome structure, but the genes that are occupied by heterochromatin proteins in the mammalian genome are largely unknown. We have adapted the DamID method to systematically identify target genes of the heterochromatin proteins HP1 and SUV39H1 in human and mouse cells. Unexpectedly, we found that CBX1 (formerly HP1beta) and SUV39H1 bind to genes encoding KRAB domain containing zinc finger (KRAB-ZNF) transcriptional repressors. These genes constitute one of the largest gene families and are organized in clusters in the human genome. Preference of CBX1 for this gene family was observed in both human and mouse cells. High-resolution mapping on human chromosome 19 revealed that CBX1 coats large domains 0.1-4 Mb in size, which coincide with the position of KRAB-ZNF gene clusters. These domains show an intricate CBX1 binding pattern: While CBX1 is globally elevated throughout the domains, it is absent from the promoters and binds more strongly to the 3' ends of KRAB-ZNF genes. KRAB-ZNF domains contain large numbers of LINE elements, which may contribute to CBX1 recruitment. These results uncover a surprising link between heterochromatin and a large family of regulatory genes in mammals. We suggest a role for heterochromatin in the evolution of the KRAB-ZNF gene family.