Search

A novel COL3A1 variant was identified in a Japanese case of Ehlers-Danlos syndrome type IV (EDS-IV) with a characteristic "Madonna" face, fragile uterus, and easy bruising in addition to a history of cavernous sinus fistula. We confirmed variable diameters of collagen fibrils in the dermis and decrease in type 3 collagen production from cultured fibroblasts. Genomic DNA sequencing of the COL3A1 region and COL3A1 cDNA sequence expressing in cultured fibroblasts identified that a nucleotide variation at c.951+2T>G on intron 14 leads to skipping of exon 14 in COL3A1 cDNA. The novel variation in the splice site of COL3A1 region g.IVS14+2T>G was not listed in the EDS-IV pathogenic genetic databases including Human Gene Mutation Database, ClinVar, and Leiden Open Variation Database. Using the whole genome sequence database of 8380 Japanese individuals reported by the Tohoku Medical Megabank Organization (ToMMo) cohort study, we also confirmed that COL3A1 g.IVS14+2T>G was not a common single nucleotide variation in the Japanese population, although 13 EDS-related COL3A1 variants were identified in the ToMMo database of 8380 Japanese individuals. These results demonstrated that our case of EDS-IV was a result of the novel variation of COL3A1 g.IVS14+2T>G. These statistical genetics approaches with the combination of the ToMMo database of 8380 Japanese individuals and pathogenic genetic databases are a useful method to confirm the uniqueness of novel variation in Japanese.

Funder: Cancer Research UK Cambridge Cancer Centre, Background: SDHB is one of the major genes predisposing to paraganglioma/pheochromocytoma (PPGL). Identifying pathogenic SDHB variants in patients with PPGL is essential to the management of patients and relatives due to the increased risk of recurrences, metastases and the emergence of non-PPGL tumours. In this context, the ‘NGS and PPGL (NGSnPPGL) Study Group’ initiated an international effort to collect, annotate and classify SDHB variants and to provide an accurate, expert-curated and freely available SDHB variant database. Methods: A total of 223 distinct SDHB variants from 737 patients were collected worldwide. Using multiple criteria, each variant was first classified according to a 5-tier grouping based on American College of Medical Genetics and NGSnPPGL standardised recommendations and was then manually reviewed by a panel of experts in the field. Results: This multistep process resulted in 23 benign/likely benign, 149 pathogenic/likely pathogenic variants and 51 variants of unknown significance (VUS). Expert curation reduced by half the number of variants initially classified as VUS. Variant classifications are publicly accessible via the Leiden Open Variation Database system (https://databases.lovd.nl/shared/genes/SDHB). Conclusion: This international initiative by a panel of experts allowed us to establish a consensus classification for 223 SDHB variants that should be used as a routine tool by geneticists in charge of PPGL laboratory diagnosis. This accurate classification of SDHB genetic variants will help to clarify the diagnosis of hereditary PPGL and to improve the clinical care of patients and relatives with PPGL.

Pseudoxanthoma elasticum (PXE) is a heritable disorder affecting elastic fibers in the skin, eyes, and cardiovascular system. It is caused by biallelic pathogenic variants in the ABCC6 gene. To date, over 300 ABCC6 variants are associated with PXE, more than half being missense variants. Correct variant interpretation is essential for establishing a direct link between the variant and the patient’s phenotype and has important implications for diagnosis and treatment. We used a systematic approach for interpretation of 271 previously reported and 15 novel ABCC6 missense variants, based on the semiquantitative classification system Sherloc. Only 35% of variants were very likely to contribute directly to disease, in contrast to reported interpretations in ClinVar, while 59% of variants are currently of uncertain significance (VUS). Subclasses were created to distinguish VUS that are leaning toward likely benign or pathogenic, increasing the number of (likely) pathogenic ABCC6 missense variants to 47%. Besides highlighting discrepancies between the Sherloc, American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG-AMP), ClinVar, and Leiden Open Variation Database (LOVD) classification, our results emphasize the need for segregation analysis, functional assays, and detailed evidence sharing in variant databases to reach a confident interpretation of ABCC6 missense variants and subsequent appropriate genetic and preconceptual counseling.

There have been concerted efforts toward cataloging rare and deleterious variants in different world populations using high-throughput genotyping and sequencing-based methods. The Indian population is underrepresented or its information with respect to clinically relevant variants is sparse in public data sets. The aim of this study was to estimate the burden of monogenic disease-causing variants in Indian populations. Toward this, we have assessed the frequency profile of monogenic phenotype-associated ClinVar variants. The study utilized a genotype data set (global screening array, Illumina) from 2795 individuals (multiple in-house genomics cohorts) representing diverse ethnic and geographically distinct Indian populations. Of the analyzed variants from Global Screening Array, ~9% were found to be informative and were either not known earlier or underrepresented in public databases in terms of their frequencies. These variants were linked to disorders, namely inborn errors of metabolism, monogenic diabetes, hereditary cancers, and various other hereditary conditions. We have also shown that our study cohort is genetically a better representative of the Indian population than its representation in the 1000 Genome Project (South Asians). We have created a database, ClinIndb, linked to the Leiden Open Variation Database, to help clinicians and researchers in diagnosis, counseling, and development of appropriate genetic screening tools relevant to the Indian populations and Indians living abroad.

The COL2A1 gene encodes the alpha-1 chain of type II procollagen. Type II collagen, comprised of three identical alpha-1 chains, is the major component of cartilage. COL2A1 gene variants are the etiologies of genetic diseases, termed type II collagenopathies, with a wide spectrum of clinical presentations. To date, at least 460 distinct COL2A1 mutations, identified in 663 independent probands, and 21 definite disorders have been reported. Nevertheless, a well-defined genotype-phenotype correlation has not been established, and few hot spots of mutation have been reported. In this study, we analyzed data of COL2A1 variants and clinical information of patients obtained from the Leiden Open Variation Database 3.0, as well as the currently available relevant literature. We determined the characteristics of the COL2A1 variants and distributions of the clinical manifestations in patients, and identified four likely genotype-phenotype correlations. Moreover, we classified 21 COL2A1-related disorders into five categories, which may assist clinicians in understanding the essence of these complex phenotypes and prompt genetic screening in clinical practice.

Hemoglobinopathies are the most common monogenic disorders worldwide. Substantial effort has been made to establish databases to record complete mutation spectra causing or modifying this group of diseases. We present a variant database which couples an online auxiliary diagnosis and at‐risk assessment system for hemoglobinopathies (DASH). The database was integrated into the Leiden Open Variation Database (LOVD), in which we included all reported variants focusing on a Chinese population by literature peer review‐curation and existing databases, such as HbVar and IthaGenes. In addition, comprehensive mutation data generated by high‐throughput sequencing of 2,087 hemoglobinopathy patients and 20,222 general individuals from southern China were also incorporated into the database. These sequencing data enabled us to observe disease‐causing and modifier variants responsible for hemoglobinopathies in bulk. Currently, 371 unique variants have been recorded; 265 of 371 were described as disease‐causing variants, whereas 106 were defined as modifier variants, including 34 functional variants identified by a quantitative trait association study of this high‐throughput sequencing data. Due to the availability of a comprehensive phenotype‐genotype data set, DASH has been established to automatically provide accurate suggestions on diagnosis and genetic counseling of hemoglobinopathies. LOVD‐DASH will inspire us to deal with clinical genotyping and molecular screening for other Mendelian disorders.

Uveitis is an intraocular inflammatory disease which can lead to serious visual impairment. Genetic factors have been shown to be involved in its development. However, few databases have focused on the information of associations between single nucleotide polymorphisms (SNPs) and uveitis. To discover the exact genetic background of uveitis, we developed an SNP database specific for uveitis, “UVEOGENE,” which includes 370 genes and 918 SNPs covering 14 uveitis entities and 40 populations from 286 PubMed English‐language papers. Stratification analyses by gender, HLA status, and different clinical features were also extracted from the publications. As a result, 371 associations were judged as “statistically significant.” These associations were also shared with Global Variome shared Leiden Open Variation Database (LOVD) (https://databases.lovd.nl/shared/genes). Based on these associations, we investigated the genetic relationship among three widely studied uveitis entities including Behcet's disease (BD), Vogt–Koyanagi–Harada (VKH) disease, and acute anterior uveitis (AAU). Furthermore, “UVEOGENE” can be used as a reliable and informative resource to identify similarities as well as differences in the genetic susceptibility among uveitis and other autoimmune diseases. UVEOGENE is freely accessible at http://www.uvogene.com.

National genetic variation registries vastly increase the level of detail for the relevant population, while directly affecting patient management. Herein, we report CanVaS, a Cancer Variation reSource aiming to document the genetic variation of cancer patients in Greece. CanVaS comprises germline genetic data from 7,363 Greek individuals with a personal and/or family history of malignancy. The dataset incorporates ~24,000 functionally annotated rare variants in 97 established or suspected cancer susceptibility genes. For each variant, allele frequency for the Greek population, interpretation for clinical significance, anonymized family and segregation information, as well as phenotypic traits of the carriers, are included. Moreover, information on the geographic distribution of the variants across the country are provided, enabling the study of Greek population isolates. Direct comparisons between Greek (sub)populations with relevant genetic resources is supported, allowing fine-grain localized adjustment of guidelines and clinical decision-making. Most importantly, anonymized data are available for download, while the Leiden Open Variation Database schema is adopted, enabling integration/interconnection with central resources. CanVaS could become a stepping-stone for a countrywide effort to characterize the cancer genetic variation landscape, concurrently supporting national and international cancer research. The database can be accessed at: https://ithaka.rrp.demokritos.gr/CanVaS

Documenting variation in our genomes is important for research and clinical care. Accuracy in the description of DNA variants is therefore essential. To address this issue, the Human Variome Project convened a committee to evaluate the feasibility of requiring authors to verify that all variants submitted for publication complied with a widely accepted standard for description. After a pilot study at two journals, the committee agreed that requiring authors to verify that variants complied with Human Genome Variation Society nomenclature is a reasonable step toward standardizing the worldwide inventory of human variation. This article is protected by copyright. All rights reserved.

Amelogenesis imperfecta (AI) describes a heterogeneous group of developmental enamel defects that typically have Mendelian inheritance. Exome sequencing of ten families with recessive hypomaturation AI revealed 4 novel and 1 known variants in the matrix metallopeptidase 20 (MMP20) gene that were predicted to be pathogenic. MMP20 encodes a protease that cleaves the developing extracellular enamel matrix and is necessary for normal enamel crystal growth during amelogenesis. New homozygous missense changes were shared between four families of Pakistani heritage (c.625G>C; p.(E209Q)) and two of Omani origin (c.710C>A; p.(S237Y)). In two families of UK origin and one from Costa Rica, affected individuals were homozygous for the previously reported c.954-2A>T; p.(I319Ffs*19) variant. For each of these variants, microsatellite haplotypes appeared to exclude a recent founder effect, but elements of haplotype were conserved, suggesting more distant founding ancestors. New compound heterozygous changes were identified in one family of European heritage; c.809_811+12delACGgtaagattattainsCCAG; p.(?) and c.1122A>C; p.(Q374H). All four new variants are within the zinc dependant peptidase domain. This report further elucidates the mutation spectrum of MMP20 and the probable impact on protein function, confirms a consistent hypomaturation phenotype and shows that mutations in MMP20 are a common cause of autosomal recessive AI in some communities.Data AvailabilityThe data that support the findings of this study are openly available in ClinVar at https://www.ncbi.nlm.nih.gov/clinvar/, accession numbers: SCV001338799 - SCV001338802 and in the AI Leiden Open Variation Database (LOVD) at http://dna2.leeds.ac.uk/LOVD/ with reference numbers: 0000000313 – 0000000317.

PurposeBiallelic mutations in G-Protein coupled receptor kinase 1 (GRK1) cause Oguchi disease, a rare subtype of congenital stationary night blindness (CSNB). The purpose of this study was to identify pathogenic GRK1 variants and use in-depth bioinformatic analyses to evaluate how their impact on protein structure could lead to pathogenicity.MethodsPatients’ genomic DNA was sequenced by whole genome, whole exome or focused exome sequencing. Pathogenic variants, published and novel, were compared to nondisease associated missense variants. The impact of GRK1 missense variants at the protein level were then predicted using a series of computational tools.ResultsWe identified eleven previously unpublished cases with biallelic pathogenic GRK1 variants, including seven novel variants, and reviewed all GRK1 pathogenic variants. Further structure-based scoring revealed a hotspot for missense variants in the kinase domain. Additionally, to aid future clinical interpretation, we identified the bioinformatics tools best able to differentiate pathogenic from non-pathogenic variants.ConclusionWe identified new GRK1 pathogenic variants in Oguchi disease patients and investigated how disease-causing variants may impede protein function, giving new insights into the mechanisms of pathogenicity. All pathogenic GRK1 variants described to date have been collated into a Leiden Open Variation Database (http://dna2.leeds.ac.uk/GRK1_LOVD/genes/GRK1).

Hereditary blood coagulation factor VII (FVII) deficiency is a rare autosomal recessive bleeding disorder resulting from variants in the gene encoding FVII (F7). Integration of genetic variation with functional consequences on protein function is essential for the interpretation of the pathogenicity of novel variants. Here, we describe the integration of previous locus‐specific databases for F7 into a single curated database with enhanced features. The database provides access to in silico analyses that may be useful in the prediction of variant pathogenicity as well as cross‐species sequence alignments, structural information, and functional and clinical severity described for each variant, where appropriate. The variant data is shared with the F7 Leiden Open Variation Database. The updated database now includes 221 unique variants, representing gene variants identified in 728 individuals. Single nucleotide variants are the most common type (88%) with missense representing 74% of these variants. A number of variants are found with relatively high minor allele frequencies that are not pathogenic but contribute significantly to the likely pathogenicity of coinherited variants due to their effect on FVII plasma levels. This comprehensive collection of curated information significantly aids the assessment of pathogenicity.

Background Deleterious mutations in PRF1 result in lethal, childhood disease, familial hemophagocytic lymphohistiocytosis type 2 (FHL 2). However, not all mutations in PRF1 are deleterious and result in FHL 2. Currently, these nondeleterious mutations are being investigated in the onset of numerous disorders, such as lymphomas and diabetes. Yet, there is still an overwhelmingly large amount of PRF1 mutations that are not associated with disease. Methods We conducted a post hoc analysis of the PRF1 mutations in the coding region using the recently published Exome Aggregation Consortium genomes, Leiden Open Variation Database, NCBI SNP database, and primary literature to better understand PRF1 variation in the human population. Results This study catalogs 460 PRF1 mutations in the coding region, and demonstrates PRF1 is more variant then previously predicted. We identify key PRF1 mutations with high allelic frequency and are only found in certain populations. Additionally, we define PRF1 SNVs are geographically distributed. Conclusions This study concludes with a novel hypothesis that nondeleterious mutation in PRF1, which decreases perforin expression and/or activity, may be an example of selective advantage in the context of environmental stressors prevalent near the equator. Our studies illustrate how perforin deficiency can be protective from injuries resulting in blood–brain barrier (BBB) disruption.

Wilson disease (WD), a disorder of copper metabolism resulting in copper accumulation in the liver and other organs, is an inherited autosomal recessive genetic condition.1 Diagnosis is challenging and is based on clinical symptoms (neuropsychiatric or hepatic dysfunction), clinical signs (presence of Kayser-Fleischer (KF) rings) and laboratory test results (abnormal liver function tests, low serum caeruloplasmin and elevated urinary copper excretion).2 However, the biochemical findings may be inconclusive as concentrations of serum caeruloplasmin and urinary copper in patients with WD can overlap with those of healthy individuals.2 To try to overcome such issues, laboratory-derived indices have been suggested, such as non-caeruloplasmin bound copper, percentage non-caeruloplasmin bound copper, copper caeruloplasmin ratio and copper adjusted for caeruloplasmin, but the reference ranges and cut-offs differ between laboratories.3–6 In addition, scoring systems exist,7 some of which may incorporate genetic testing.8 Molecular diagnostic testing is performed to confirm or exclude the diagnosis in patients with symptoms and biochemical findings suggestive of WD.2 7 ### Sequencing the ATP7B gene Genetic testing of WD is performed by screening for loss-of-function variants in the ATP7B gene. Diagnostic confirmation can be achieved by identifying two pathogenic variants in the compound heterozygous state or a single pathogenic variant in the homozygous state. More than 500 WD-causing variants in the ATP7B gene including single nucleotide variants, small deletions and insertions have been reported in literature and public databases such as ClinVar, Leiden Open Variation Database, Human Genetic Variation Database and the Wilson Disease Mutation Database.9 Although the gene harbours several population-specific variants, many pathogenic variants throughout the entire gene have been found to be rare and only familial-specific.10 Therefore, screening tests that contain only specific, most frequent variants, although not as labour-intensive and time-consuming as whole gene screening, may miss rare pathogenic variants. Sanger sequencing is currently …

BackgroundNeurofibromatosis type 1 (NF1) predisposes to breast cancer (BC), but no genotype-phenotype correlations have been described.MethodsConstitutional NF1 mutations in 78 patients with NF1 with BC (NF1-BC) were compared with the NF1 Leiden Open Variation Database (n=3432).ResultsNo cases were observed with whole or partial gene deletions (HR 0.10; 95% CI 0.006 to 1.63; p=0.014, Fisher’s exact test). There were no gross relationships with mutation position. Forty-five (64.3%; HR 6.4–83) of the 70 different mutations were more frequent than expected (pBRCA1/2 testing, revealing one BRCA2 mutation.DiscussionThese data strongly support the hypothesis that certain constitutional mutation types, and indeed certain specific variants in NF1 confer different risks of BC. The lack of large deletions and excess of nonsenses and missenses is consistent with gain of function mutations conferring risk of BC, and also that neurofibromin may function as a dimer. The observation that somatic NF1 amplification can occur independently of ERBB2 amplification in sporadic BC supports this concept. A prospective clinical-molecular study of NF1-BC needs to be established to confirm and build on these findings, but regardless of NF1 mutation status patients with NF1-BC warrant testing of other BC-predisposing genes.

Familial cerebral cavernous malformation (FCCM) is an autosomal dominant vascular disorder caused by heterozygous deleterious variants in KRIT1, CCM2 or PDCD10. In a previous study, we presented the clinical and molecular findings in 140 FCCM individuals. In the present work, we report supporting information on (a) applied diagnostic workflow; (b) clinical significance of molecular findings according to the American College of Medical Genetics and Genomics/Association for Molecular Pathology recommendations; (c) standardization of molecular and clinical data according to the Human Phenotype Ontology; (d) preliminary genotype-phenotype correlations on a subgroup of patients by considering sex, age at diagnosis, neurological symptoms, and number and anatomical site(s) of vascular anomalies; (e) datasets submitted to the Leiden Open Variation Database. An overview of the changes of our diagnostic approach before and after the transition to next-generation sequencing is also reported. This work presents the full procedure that we apply for molecular testing, data interpretation and storing in public databases in FCCM.

The BRCA Challenge is a long-term data-sharing project initiated within the Global Alliance for Genomics and Health (GA4GH) to aggregate BRCA1 and BRCA2 data to support highly collaborative research activities. Its goal is to generate an informed and current understanding of the impact of genetic variation on cancer risk across the iconic cancer predisposition genes, BRCA1 and BRCA2. Initially, reported variants in BRCA1 and BRCA2 available from public databases were integrated into a single, newly created site, www.brcaexchange.org. The purpose of the BRCA Exchange is to provide the community with a reliable and easily accessible record of variants interpreted for a high-penetrance phenotype. More than 20,000 variants have been aggregated, three times the number found in the next-largest public database at the project’s outset, of which approximately 7,250 have expert classifications. The data set is based on shared information from existing clinical databases—Breast Cancer Information Core (BIC), ClinVar, and the Leiden Open Variation Database (LOVD)—as well as population databases, all linked to a single point of access. The BRCA Challenge has brought together the existing international Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium expert panel, along with expert clinicians, diagnosticians, researchers, and database providers, all with a common goal of advancing our understanding of BRCA1 and BRCA2 variation. Ongoing work includes direct contact with national centers with access to BRCA1 and BRCA2 diagnostic data to encourage data sharing, development of methods suitable for extraction of genetic variation at the level of individual laboratory reports, and engagement with participant communities to enable a more comprehensive understanding of the clinical significance of genetic variation in BRCA1 and BRCA2., Author summary The goal of this study and paper has been to develop an international resource to generate an informed and current understanding of the impact of genetic variation on cancer risk across the cancer predisposition genes, BRCA1 and BRCA2. Reported variants in BRCA1 and BRCA2 available from public databases were integrated into a single, newly created site, www.brcaexchange.org, to provide a reliable and easily accessible record of variants interpreted for a high-penetrance phenotype.

Importance Many common inherited retinal diseases are not easily treated with gene therapy. Gene editing with base editors may allow the targeted repair of single-nucleotide transition variants in DNA and RNA. It is unknown how many patients have pathogenic variants that are correctable with a base editing strategy. Objective To assess the prevalence and spectrum of pathogenic single-nucleotide variants amenable to base editing in common large recessively inherited genes that are associated with inherited retinal degeneration. Design, Setting, and Participants In this retrospective cross-sectional study, nonidentifiable records of patients with biallelic pathogenic variants of genes associated with inherited retinal degeneration between July 2013 and December 2019 were analyzed using data from the Oxford University Hospitals Medical Genetics Laboratories, the Leiden Open Variation Database, and previously published studies. Six candidate genes (ABCA4, CDH23, CEP290, EYS, MYO7A,andUSH2A), which were determined to be the most common recessive genes with coding sequences not deliverable in a single adeno-associated viral vector, were examined. Data were analyzed from April 16 to May 11, 2020. Main Outcomes and Measures Proportion of alleles with a pathogenic transition variant that is potentially correctable with a base editing strategy and proportion of patients with a base-editable allele. Results A total of 12 369 alleles from the Leiden Open Variation Database and 179 patients who received diagnoses through the genetic service of the Oxford University Hospitals Medical Genetics Laboratories were analyzed. Editable variants accounted for 53% of all pathogenic variants in the candidate genes contained in the Leiden Open Variation Database. The proportion of pathogenic alleles that were editable varied by gene; 63.1% of alleles inABCA4, 62.7% of alleles inCDH23, 53.8% of alleles inMYO7A, 41.6% of alleles inCEP290, 37.3% of alleles inUSH2A, and 22.2% of alleles inEYSwere editable. The 5 most common editable pathogenic variants of each gene accounted for a mean (SD) of 19.1% (9.5%) of all pathogenic alleles within each gene. In the Oxford cohort, 136 of 179 patients (76.0%) had at least 1 editable allele. A total of 53 of 107 patients (49.5%) with biallelic pathogenic variants in the geneABCA4and 16 of 56 patients (28.6%) with biallelic pathogenic variants in the geneUSH2Ahad 1 of the 5 most common editable alleles. Conclusions and Relevance This study found that pathogenic variants amenable to base editing commonly occur in inherited retinal degeneration. These findings, if generalized to other cohorts, provide an approach for developing base editing therapies to treat retinal degeneration not amenable to gene therapy.

Pyruvate kinase (PK) deficiency is known as being the most common cause of chronic nonspherocytic hemolytic anemia (CNSHA). Clinical PK deficiency is transmitted as an autosomal recessive trait, that can segregate neither in homozygous or in a compound heterozygous modality, respectively. Two PK genes are present in mammals: the pyruvate kinase liver and red blood cells (PK-LR) and the pyruvate kinase muscle (PK-M), of which only the first encodes for the isoenzymes normally expressed in the red blood cells (R-type) and in the liver (L-type). Several reports have been published describing a large variety of genetic defects in PK-LR gene associated to CNSHA. Herein, we present a review of about 250 published mutations and six polymorphisms in PK-LR gene with the corresponding clinical and molecular data. We consulted the PubMed website for searching mutations and papers, along with two main databases: the Leiden Open Variation Database (LOVD, https://grenada.lumc.nl/LOVD2/mendelian_genes/home.php?select_db=PKLR) and Human Gene Mutation Database (HGMD, http://www.hgmd.cf.ac.uk/ac/gene.php?gene=PKLR) for selecting, reviewing and listing the annotated PK-LR gene mutations present in literature. This paper is aimed to provide useful information to clinicians and laboratory professionals regarding overall reported PK-LR gene mutations, also giving the opportunity to harmonize data regarding PK-deficient individuals.

We report on PAX6 alleles associated with a clinical diagnosis of classical aniridia in 81 affected individuals representing 66 families. Allelic variants expected to affect PAX6 function were identified in 61 families (76 individuals). Ten cases of sporadic aniridia (10 families) had complete (8 cases) or partial (2 cases) deletion of the PAX6 gene. Sequence changes that introduced a premature termination codon into the open reading frame of PAX6 occurred in 47 families (62 individuals). Three individuals with sporadic aniridia (three families) had sequence changes (one deletion, two run-on mutations) expected to result in a C-terminal extension. An intronic deletion of unknown functional significance was detected in one case of sporadic aniridia (one family), but not in unaffected relatives. Within these 61 families, single nucleotide substitutions accounted for 30/61 (49%), indels for 23/61 (38%), and complete deletion of the PAX6 locus for 8/61 (13%). In five cases of sporadic aniridia (five families), no disease-causing mutation in the coding region was detected. In total, 23 unique variants were identified that have not been reported in the Leiden Open Variation Database (LOVD) database. Within the group assessed, 92% had sequence changes expected to reduce PAX6 function, confirming the primacy of PAX6 haploinsufficiency as causal for aniridia.

Background GAMT deficiency is an autosomal recessive disorder of creatine biosynthesis causing developmental delays or intellectual disability in untreated patients as a result of irreversible brain damage occurring prior to diagnosis. Normal neurodevelopmental outcome has been reported in patients treated from neonatal period highlighting the importance of early treatment. Methods Five hundred anonymized newborns from the National Newborn Screening Program of The Netherlands were included into this pilot study. Direct sequencing of the coding region of the GAMT gene was applied following DNA extraction. The disease causing nature of novel missense variants in the GAMT gene was studied by overexpression studies. GAA and creatine was measured in blood dot spots. Results We detected two carriers, one with a known common (c.327G>A) and one with a novel mutation (c.297_309dup (p.Arg105Glyfs*) in the GAMT gene. The estimated incidence of GAMT deficiency was 1:250,000. We also detected five novel missense variants. Overexpression of these variants in GAMT deficient fibroblasts did restore GAMT activity and thus all were considered rare, but not disease causing variants including the c.131G>T (p.Arg44Leu) variant. Interestingly, this variant was predicted to be pathogenic by in silico analysis. The variants were included in the Leiden Open Variation Database (LOVD) database (www.LOVD.nl/GAMT). The average GAA level was 1.14 μmol/L ± 0.45 standard deviations. The average creatine level was 408 μmol/L ± 106. The average GAA/creatine ratio was 2.94 ± 0.136. Conclusion The estimated incidence of GAMT deficiency is 1:250,000 newborns based on our pilot study. The newborn screening for GAMT deficiency should be implemented to identify patients at the asymptomatic stage to achieve normal neurodevelopmental outcome for this treatable neurometabolic disease. Biochemical investigations including GAA, creatine and GAMT enzyme activity measurements are essential to confirm the diagnosis of GAMT deficiency. According to availability, all missense variants can be assessed functionally, as in silico prediction analysis of missense variants is not sufficient to confirm the pathogenicity of missense variants.

Item does not contain fulltext Leber congenital amaurosis (LCA) represents the most severe form of inherited retinal dystrophies with an onset during the first year of life. Currently, 21 genes are known to be associated with LCA and recurrent mutations have been observed in AIPL1, CEP290, CRB1 and GUCY2D. In addition, sequence analysis of LRAT and RPE65 may be important in view of treatments that are emerging for patients carrying variants in these genes. Screening of the aforementioned variants and genes was performed in 64 Danish LCA probands. Upon the identification of heterozygous variants, Sanger sequencing was performed of the relevant genes to identify the second allele. In combination with prior arrayed primer extension analysis, this led to the identification of two variants in 42 of 86 cases (49%). Remarkably, biallelic RPE65 variants were identified in 16% of the cases, and one novel variant, p.(D110G), was found in seven RPE65 alleles. We also collected all previously published RPE65 variants, identified in 914 alleles of 539 patients with LCA or early-onset retinitis pigmentosa, and deposited them in the RPE65 Leiden Open Variation Database (LOVD). The in silico pathogenicity assessment of the missense and noncanonical splice site variants, as well as an analysis of their frequency in ~60 000 control individuals, rendered 864 of the alleles to affect function or probably affect function. This comprehensive database can now be used to select patients eligible for gene augmentation or retinoid supplementation therapies.

Background Neurofibromatosis type I (NF1) is caused by heterozygous loss-of-function variants in the NF1 gene encoding neurofibromin which serves as a tumor suppressor that inhibits RAS signaling and regulates cell proliferation and differentiation. While, the only well-established functional domain in the NF1 protein is the GAP-related domain (GRD), most of the identified non-truncating disease-causing variants are located outside of this domain, supporting the existence of other important disease-associated domains. Identifying these domains may reveal novel functions of NF1. Methods By implementing inferential statistics combined with machine-learning methods, we developed a novel NF1-specific functional prediction model that focuses on nonsynonymous single nucleotide variants (SNVs). The model enables annotating all possible NF1 nonsynonymous variants, thus mapping the range of pathogenic non-truncating variants at the codon level across the NF1 gene. Findings The generated model demonstrates high absolute prediction value for missense and splice-site variations (area under the ROC curve of 0.96) outperforming 14 other established models. By reviewing the entire dataset of nonsynonymous variants, two novel domains (Armadillo type fold 1 and 2) were identified as being associated with pathogenicity (OR 1.86; CI 1.04 to 3.34 and OR 2.08; CI 1.08 to 4.04, respectively; P

Background and aims Familial hypercholesterolemia (FH) is a an autosomal dominant disorder characterized by very high levels of low-density lipoprotein cholesterol (LDL-C). It is estimated that >85% of all FH-causing mutations involve genetic variants in the LDL receptor (LDLR). To date, 795 single amino acid LDLR missense mutations have been reported in the Leiden Open Variation Database (LOVD). However, the functional impact of these variants on the LDLR pathway has received little attention and remains poorly understood. We aim to establish a systematic functional prediction model for LDLR single missense mutations. Methods Using a combined structural modeling and bioinformatics algorithm, we developed an in silico prediction model called “Structure-based Functional Impact Prediction for Mutation Identification” (SFIP-MutID) for FH with LDLR single missense mutations. We compared the pathogenicity and functional impact predictions of our model to those of other conventional tools with experimentally validated variants, as well as in vitro functional test results for patients with LDLR variants. Results Our SFIP-MutID model systematically predicted 13,167 potential LDLR single amino acid missense substitutions with biological effects. The functional impact of 52 out of 54 specific mutations with reported in vitro experimental data was predicted correctly. Further functional tests on LDLR variants from patients were also consistent with the prediction of our model. Conclusions Our LDLR structure-based computational model predicted the pathogenicity of LDLR missense mutations by linking genotypes with LDLR functional phenotypes. Our model complements other prediction tools for variant interpretation and facilitates the precision diagnosis and treatment of FH and atherosclerotic cardiovascular diseases.

Neurodegenerative diseases (NDDs) are associated with genetic variations including point substitutions, copy number alterations, insertions and deletions. At present, a few genetic variation repositories for some individual NDDs have been created, however, these databases are needed to be integrated and expanded to all the NDDs for systems biological investigation. We here build a relational database termed as NDDVD to integrate all the variations of NDDs using Leiden Open Variation Database (LOVD) platform. The items in the NDDVD are collected manually from PubMed or extracted from the existed variation databases. The cross-disease database includes over 6374 genetic variations of 289 genes associated with 37 different NDDs. The patterns, conservations and biological functions for variations in different NDDs are statistically compared and a user-friendly interface is provided for NDDVD at: http://bioinf.suda.edu.cn/NDDvarbase/LOVDv.3.0. URL: http://bioinf.suda.edu.cn/NDDvarbase/LOVDv.3.0

BackgroundBasal cell nevus syndrome (BCNS) is an autosomal dominant disorder characterized by multiple basal cell carcinomas (BCCs), maxillary keratocysts, and cerebral calcifications. BCNS most commonly is caused by a germline mutation in the patched-1 (PTCH1) gene. PTCH1 mutations are also described in patients with holoprosencephaly.MethodsWe have established a locus-specific database for the PTCH1 gene using the Leiden Open Variation Database (LOVD). We included 117 new PTCH1 variations, in addition to 331 previously published unique PTCH1 mutations. These new mutations were found in 141 patients who had a positive PTCH1 mutation analysis in either the VU University Medical Centre (VUMC) or Maastricht University Medical Centre (MUMC) between 1995 and 2015.ResultsThe database contains 331 previously published unique PTCH1 mutations and 117 new PTCH1 variations.ConclusionWe have established a locus-specific database for the PTCH1 gene using the Leiden Open Variation Database (LOVD). The database provides an open collection for both clinicians and researchers and is accessible online at http://www.lovd.nl/PTCH1..

Mutations in Eyes shut homolog (EYS) are one of the most common causes of autosomal recessive (ar) retinitis pigmentosa (RP), a progressive blinding disorder. The exact function of the EYS protein and the pathogenic mechanisms underlying EYS-associated RP are still poorly understood, which hampers the interpretation of the causality of many EYS variants discovered to date. We collected all reported EYS variants present in 377 arRP index cases published before June 2017, and uploaded them in the Leiden Open Variation Database (www.LOVD.nl/EYS). We also describe 36 additional index cases, carrying 26 novel variants. Of the 297 unique EYS variants identified, almost half (n = 130) are predicted to result in premature truncation of the EYS protein. Classification of all variants using the American College of Medical Genetics and Genomics guidelines revealed that the predicted pathogenicity of these variants cover the complete spectrum ranging from likely benign to pathogenic, although especially missense variants largely fall in the category of uncertain significance. Besides the identification of likely benign alleles previously reported as being probably pathogenic, our comprehensive analysis underscores the need of functional assays to assess the causality of EYS variants, in order to improve molecular diagnostics and counseling of patients with EYS-associated RP.

The International Society for Gastrointestinal Hereditary Tumours (InSiGHT) operates a database with an important function in medical genetics – the sharing of clinical and genetic variant data for genes associated with inherited colorectal cancer. The Leiden Open Variation Database (LOVD) technology used for this task has been updated to handle genomic data that is increasingly being generated, often for patients or individuals with diverse clinical phenotypes. The issue of variant interpretation is a high priority, and InSiGHT’s approach is detailed here, as well as other technical challenges and possible solutions.

Mutations in the COL2A1 gene cause a spectrum of rare autosomal-dominant conditions characterized by skeletal dysplasia, short stature, and sensorial defects. An early diagnosis is critical to providing relevant patient care and follow-up, and genetic counseling to affected families. There are no recent exhaustive descriptions of the causal mutations in the literature. Here, we provide a review of COL2A1 mutations extracted from the Leiden Open Variation Database (LOVD) that we updated with data from PubMed and our own patients. Over 700 patients were recorded, harboring 415 different mutations. One-third of the mutations are dominant-negative mutations that affect the glycine residue in the G-X-Y repeats of the alpha 1 chain. These mutations disrupt the collagen triple helix and are common in achondrogenesis type II and hypochondrogenesis. The mutations resulting in a premature stop codon are found in less severe phenotypes such as Stickler syndrome. The p.(Arg275Cys) substitution is found in all patients with COL2A1-associated Czech dysplasia. LOVD-COL2A1 provides support and potential collaborative material for scientific and clinical projects aimed at elucidating phenotype-genotype correlation and differential diagnosis in patients with type II collagenopathies.

The American College of Medical Genetics and Genomics (ACMG) previously developed guidance for the interpretation of sequence variants.1 In the past decade, sequencing technology has evolved rapidly with the advent of high-throughput next generation sequencing. By adopting and leveraging next generation sequencing, clinical laboratories are now performing an ever increasing catalogue of genetic testing spanning genotyping, single genes, gene panels, exomes, genomes, transcriptomes and epigenetic assays for genetic disorders. By virtue of increased complexity, this paradigm shift in genetic testing has been accompanied by new challenges in sequence interpretation. In this context, the ACMG convened a workgroup in 2013 comprised of representatives from the ACMG, the Association for Molecular Pathology (AMP) and the College of American Pathologists (CAP) to revisit and revise the standards and guidelines for the interpretation of sequence variants. The group consisted of clinical laboratory directors and clinicians. This report represents expert opinion of the workgroup with input from ACMG, AMP and CAP stakeholders. These recommendations primarily apply to the breadth of genetic tests used in clinical laboratories including genotyping, single genes, panels, exomes and genomes. This report recommends the use of specific standard terminology: ‘pathogenic’, ‘likely pathogenic’, ‘uncertain significance’, ‘likely benign’, and ‘benign’ to describe variants identified in Mendelian disorders. Moreover, this recommendation describes a process for classification of variants into these five categories based on criteria using typical types of variant evidence (e.g. population data, computational data, functional data, segregation data, etc.). Because of the increased complexity of analysis and interpretation of clinical genetic testing described in this report, the ACMG strongly recommends that clinical molecular genetic testing should be performed in a CLIA-approved laboratory with results interpreted by a board-certified clinical molecular geneticist or molecular genetic pathologist or equivalent.

Lynch syndrome (LS), an autosomal-dominant disorder with an increased risk of predominantly colorectal and endometrial cancers, is caused by germ-line mutations in mismatch repair genes. The identification of germ-line mutations that predispose to cancer is important to further our understanding of tumorigenesis, guide patient management and inform the best practice for healthcare. A 45-year-old woman with atypical endometrial hyperplasia who suffered colon cancer at the age of 30 years underwent hysterectomy and genetic counseling. Pedigree analysis revealed her family fulfilling the Amsterdam I criteria. Next-generation sequencing was offered to the patient. A mutation in the MLH1 gene, c.1145dupA, was identified and verified by Sanger sequencing. In addition, her nine family members were tested for the mutation. Two were affected (colon cancer at the age of 43 years and 45 years) and one healthy relative carried the same mutation in the MLH1 gene. The mutation resulted in a frame-shift (p.Met383Aspfs*12) located in exon12, as well as a polypeptide truncation of 393 amino acids by the formation of a premature stop codon. An immunohistochemistry analysis of endometrial hyperplasia tissues revealed defects in MLH1 and PMS2 protein expression in the patient. Based on the 2015 American College of Medical Genetics and Genomics (ACMG) guideline, we report this MLH1 c.1145dupA variation to be a pathogenic mutation that contributes to a strongly increased cancer risk in this LS family. Proper screening suggestions were offered to the three affected patients and the healthy carrier. To the best of our knowledge, this germ-line mutation of MLH1 was previously submitted to the Leiden Open Variation Database (LOVD) database, but no comprehensive evidence or supporting observations were reported previously in the literature. The present report found a single nucleotide insertion in exon12 of the MLH1 gene, which can be considered causative of Lynch phenotype. Moreover, identification of individuals at risk for hereditary syndromes is important, as they can benefit from genetic counseling and increased surveillance.

The two disorders of cornification associated with mutations in genes coding for intracellular calcium pumps are Darier disease (DD) and Hailey-Hailey disease (HHD). DD is caused by mutations in the ATP2A2 gene, whereas the ATP2C1 gene is associated with HHD. Both are inherited as autosomal-dominant traits. DD is mainly defined by warty papules in seborrheic and flexural areas, whereas the major symptoms of HHD are vesicles and erosions in flexural skin. Both phenotypes are highly variable. In 12%-40% of DD patients and 12%-55% of HHD patients, no mutations in ATP2A2 or ATP2C1 are found. We provide a comprehensive review of clinical variability in DD and HHD and a review of all reported mutations in ATP2A2 and ATP2C1. Having the entire spectrum of ATP2A2 and ATP2C1 variants allows us to address the question of a genotype-phenotype correlation, which has not been settled unequivocally in DD and HHD. We created a database for all mutations in ATP2A2 and ATP2C1 using the Leiden Open Variation Database (LOVD v3.0), for variants reported in the literature and future inclusions. This data may be of use as a reference tool in further research on treatment of DD and HHD. (C) 2016 Wiley Periodicals, Inc.

Background Whole exome sequencing (WES) is one of the most valuable tools for the detection of Mendelian diseases in clinical laboratory. We performed WES for a family of 46,XY disorders of gender development and compared the applicability of public databases for the subsequent phenotype studies of WES-identified mutations. Methods DNA samples from the two patients were analyzed by WES. The mutated protein was studied using the HomoloGene database, Polyphen2, and SIFT. The phenotype of the mutation was studied using ClinVar, the androgen receptor gene mutations database, AR database at Leiden Open Variation Database, and PubMed. Results A c.C2566T (p.R856C) mutation in the androgen receptor gene was detected for the patients. The in silico studies indicated that the p.R856C mutation is deleterious to the function of the androgen receptor. Unlike those of other databases, the variations listed in the androgen receptor gene mutations database were classified as complete androgen insensitivity-, partial androgen insensitivity-, or mild androgen insensitivity-relevant according to their clinical phenotype. In addition, the publications of the collected mutations in the androgen receptor gene mutations database are complete and easily accessible, which facilitates in depth studies of clinically identified mutations. Conclusions We identified a c.C2566T (p.R856C) mutation of the AR gene in cases of familial complete androgen insensitivity by WES, and provided genetic counseling to related family members. This is the first study reporting this mutation in Chinese patients. We also compared the applicability of several public databases for phenotype studies of clinically identified Androgen Receptor mutations and suggest that the androgen receptor gene mutations database best satisfies clinical demands.

Mutations in the NPHS2 gene encoding podocin are implicated in an autosomal-recessive form of nonsyndromic steroid-resistant nephrotic syndrome in both pediatric and adult patients. Patients with homozygous or compound heterozygous mutations commonly present with steroid-resistant nephrotic syndrome before the age of 6years and rapidly progress to end-stage kidney disease with a very low prevalence of recurrence after renal transplantation. Here, we reviewed all the NPHS2 mutations published between October 1999 and September 2013, and also all novel mutations identified in our personal cohort and in international genetic laboratories. We identified 25 novel pathogenic mutations in addition to the 101 already described. The mutations are distributed along the entire coding region and lead to all kinds of alterations including 53 missense, 17 nonsense, 11 small insertions, 26 small deletions, 16 splicing, two indel mutations, and one mutation in the stop codon. In addition, 43 variants were classified as variants of unknown significance, as these missense changes were exclusively described in the heterozygous state and/or considered benign by prediction software. Genotype-phenotype analyses established correlations between specific variants and age at onset, ethnicity, or clinical evolution. We created a Web database using the Leiden Open Variation Database (www.lovd.nl/NPHS2) software that will allow the inclusion of future reports. (C) 2013 Wiley Periodicals, Inc.

The Variation Ontology (VariO) is used for describing and annotating types, effects, consequences and mechanisms of variations. To facilitate easy and consistent annotations, the online application VariOtator was developed. For variation type annotations VariOtator is fully automated, accepting variant descriptions in Human Genome Variation Society (HGVS) format, and generating VariO terms, either with or without full lineage, i.e. all parent terms. When a coding DNA variant description with a reference sequence is provided, VariOtator checks the description first with Mutalyzer and then generates the predicted RNA and protein descriptions with their respective VariO annotations. For the other sublevels - function, structure and property - annotations cannot be automated, and VariOtator generates annotation based on provided details. For VariO terms relating to structure and property, one can use attribute terms as modifiers and Evidence Code (ECO) terms for annotating experimental evidence. There is an online batch version, and stand-alone batch versions to be used with a Leiden Open Variation Database (LOVD) download file. A SOAP web service allows client programs to access VariOtator programmatically. Thus, systematic variation effect and type annotations can be efficiently generated to allow easy use and integration of variations and their consequences. This article is protected by copyright. All rights reserved.

SummaryThe diagnosis of von Willebrand disease (VWD) remains difficult in a significant proportion of patients. A Spanish multicentre study investigated a cohort of 556 patients from 330 families who were analysed centrally. VWD was confirmed in 480. Next generation sequencing (NGS) of the whole coding VWF was carried out in all recruited patients, compared with the phenotype, and a final diagnosis established. A total of 238 different VWF mutations were found, 154 were not included in the Leiden Open Variation Database (LOVD). Of the patients, 463 were found to have VWF mutation/s. A good phenotypic/ genotypic association was estimated in 96.5 % of the patients. One hundred seventy-four patients had two or more mutations. Occasionally a predominant phenotype masked the presence of a second abnormality. One hundred sixteen patients presented with mutations that had previously been associated with increased von Willebrand factor (VWF) clearance. RIPA unavailability, central phenotypic results disagreement and difficult distinction between severe type 1 and type 3 VWD prevented a clear diagnosis in 70 patients. The NGS study facilitated an appropriate classification in 63 of them. The remaining seven patients presented with a VWF novel mutation pending further investigation. In five patients with a type 3 and two with a type 2A or 2B phenotype with no mutation, an acquired von Willebrand syndrome (AVWS) was suspected/confirmed. These data seem to support NGS as a first line efficient and faster paradigm in VWD diagnosis.Supplementary Material to this article is available online at www.thrombosis-online.com.

Renal coloboma syndrome, also known as papillorenal syndrome is an autosomal-dominant disorder characterized by ocular and renal malformations. Mutations in the paired-box gene, PAX2, have been identified in approximately half of individuals with classic findings of renal hypoplasia/dysplasia and abnormalities of the optic nerve. Prior to 2011, there was no actively maintained locus-specific database (LSDB) cataloguing the extent of genetic variation in the PAX2 gene and phenotypic variation in individuals with renal coloboma syndrome. Review of published cases and the collective diagnostic experience of three laboratories in the United States, France, and New Zealand identified 55 unique mutations in 173 individuals from 86 families. The three clinical laboratories participating in this collaboration contributed 28 novel variations in 68 individuals in 33 families, which represent a 50% increase in the number of variations, patients, and families published in the medical literature. An LSDB was created using the Leiden Open Variation Database platform: www.lovd.nl/PAX2. The most common findings reported in this series were abnormal renal structure or function (92% of individuals), ophthalmological abnormalities (77% of individuals), and hearing loss (7% of individuals). Additional clinical findings and genetic counseling implications are discussed.

The Human Variome Project (HVP) is an international consortium of clinicians, geneticists, and researchers from over 30 countries, aiming to facilitate the establishment and maintenance of standards, systems, and infrastructure for the worldwide collection and sharing of all genetic variations effecting human disease. The HVP-China Node will build new and supplement existing databases of genetic diseases. As the first effort, we have created a novel variant database of BRCA1 and BRCA2, mismatch repair genes (MMR), and APC genes for breast cancer, Lynch syndrome, and familial adenomatous polyposis (FAP), respectively, in the Chinese population using the Leiden Open Variation Database (LOVD) format. We searched PubMed and some Chinese search engines to collect all the variants of these genes in the Chinese population that have already been detected and reported. There are some differences in the gene variants between the Chinese population and that of other ethnicities. The database is available online at http://www.genomed.org/LOVD/. Our database will appear to users who survey other LOVD databases (e.g., by Google search, or by NCBI GeneTests search). Remote submissions are accepted, and the information is updated monthly.

Therapy-related myeloid neoplasm (t-MN) is considered to be a direct stochastic complication of chemotherapy and/or radiotherapy for primary cancer or autoimmune diseases. However, genetic predisposition is reported in 8-12% of sporadic adult cancer patients [Lu et al Nature Communication 2015 and Huang et al Cell 2018]. Similarly, genetic predispositions to t-MN have also been reported in limited single institute studies of small numbers of patients [Churpek et al Cancer 2016]. In this study, we performed comprehensive germline and somatic mutation profiling in t-MN using next generation sequencing. Matched germline material was available for 62/194 (32%) patients. Mutation profiling was correlated with clinical features including family history in 194 patients enrolled in the South Australian MDS (SA-MDS) registry and Cleveland Clinic (CC). An in-house well established filtering pipeline was used for identification of somatic mutations. Only variants with Genome Aggregation Database (gnomAD) minor allele frequency (MAF) of ≤0.01% and variant allele frequency (VAF) of ≥35% were selected for further analysis of germline variants. Variants reported in in the Catalogue of Somatic Mutations in Cancer database and MDS/AML were excluded from further analysis. Variants reported pathogenic in Breast Cancer Information Core (BIC) database and Leiden Open Variation Database (LOVD) were retained. Other variants were included if truncating (nonsense, indels, splice alterations), CADD>20, or predicted deleterious by >4/6 scoring algorithms (GERP>4, PhyloP>2, SIFT, PolyPhen2, MutationTaster and FATHMM). Forty-one (21%) t-MN patients harbored 45 rare (MAF The frequency of these germline mutations in our t-MN cohort is higher than in the general population (gnomAD; Table 1) and in patients with primary malignancies such as breast cancer and lymphoma [Lu et al Nature Communication 2015 and Churpek et al Cancer 2016]. Intriguingly, the frequency of germline FA gene mutations (FAMT) in our therapy-related myelodysplastic syndrome (t-MDS) patients is also higher than those reported in primary MDS patients (18% vs 9%, p=0.02) [Przychodzen et al 2018]. Additionally, of those with available family history, 62% of t-MN patients have first and/or second degree relatives with non-skin cancers. Significantly more patients with FA mutation (FAMT) had first and second degree relatives with cancers compared to patients without FA (FAWT) mutations (82% vs 58%; p=0.03). Additionally, chromosomes 3 and 7 abnormalities, as well as monosomal karyotype, were more frequent in FAMT cases compared to FAWT. Similarly, somatic mutations in GATA2 (10% vs 2%; p=0.02), BCOR (13% vs 4%; p=0.03) and IDH2 (10% vs 2%; p=0.02) were more frequent in FAMT compared to FAWT cases (Figure 1C). In summary, we show that at least one in five t-MN patients harbor deleterious germline mutations, and 82% of FAMT patients have a first or second degree relative with cancers. These findings have implication in management of not only t-MN patients but genetic testing for their family members. Disclosures Branford: Qiagen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Cepheid: Honoraria. Maciejewski:Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Ra Pharmaceuticals, Inc: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Ra Pharmaceuticals, Inc: Consultancy; Apellis Pharmaceuticals: Consultancy; Apellis Pharmaceuticals: Consultancy. Hiwase:Celgene: Research Funding; Novartis: Research Funding.

The correct diagnosis and classification of von Willebrand disease (VWD) is difficult because of the variability of its clinical expression and limitations of laboratory methods. However, correctly diagnosing VWD is important for therapy and genetic counselling. A survey related to the referred VWD patients in Spain revealed local diagnostic problems in at least one third of the cases of VWD. Consequently, a Spanish multicenter study was carried out in which a cohort of 556 patients from 330 families was analyzed centrally. VWD was confirmed in 480 patients. Next generation sequencing (NGS) of the whole coding von Willebrand factor gene ( VWF ) was carried out in all recruited patients, compared with the phenotype, and a final diagnosis was established. A total of 238 different VWF mutations were found: 154 were not included in the Leiden Open Variation Database (LOVD). Of the patients, 467 were found to have a VWF mutation/s. A good phenotype/genotype association was estimated in 94.6% of the cases. One hundred and eighty patients had two or more mutations. Occasionally a predominant phenotype masked the presence of a second abnormality. One hundred and sixteen patients presented with mutations that had previously been associated with an increased VWF clearance. Ristocetin induced platelet agglutination (RIPA) unavailability, central phenotypic results disagreement and difficult distinction between severe type 1 and type 3 VWD prevented a clear diagnosis in 74 patients. A local/central disagreement over diagnosis occurred in 42.3% of the whole cohort. The NGS study facilitated an appropriate classification in 60 of them. Based on these results, a proposal for a change in the VWD diagnostic paradigm, suggesting the inclusion of the analysis of VWF at the initial diagnostic process, has been made. An extension of this project to include 400 new VWD patients has begun. A diagnostic strategy has been developed, and a Spanish consensus guideline for optimal treatment of VWD was developed in Spain. Desmopressin (DDAVP) is the treatment of choice in responsive VWD patients. VWF concentrates (VWF/FVIII) are used in individuals unresponsive to DDAVP, when DDAVP is contraindicated, or in VWD types 2B and 3, and for long term management needs (e.g., post major surgery).

The MUTYH gene encodes a DNA glycosylase involved in base excision repair (BER). Biallelic pathogenic MUTYH variants have been associated with colorectal polyposis and cancer. The pathogenicity of a few variants is beyond doubt, including c.536A>G/p.Tyr179Cys and c.1187G>A/p.Gly396Asp (previously c.494A>G/p.Tyr165Cys and c.1145G>A/p.Gly382Asp). However, for a substantial fraction of the detected variants, the clinical significance remains uncertain, compromising molecular diagnostics and thereby genetic counseling. We have established an interactive MUTYH gene sequence variant database (www.lovd.nl/MUTYH) with the aim of collecting and sharing MUTYH genotype and phenotype data worldwide. To support standard variant description, we chose NM_001128425.1 as the reference sequence. The database includes records with variants per individual, linked to available phenotype and geographic origin data as well as records with in vitro functional and in silico test data. As of April 2010, the database contains 1968 published and 423 unpublished submitted entries, and 230 and 61 unique variants, respectively. This open-access repository allows all involved to quickly share all variants encountered and communicate potential consequences, which will be especially useful to classify variants of uncertain significance. Hum Mutat 31: 1205-1215, 2010. (C) 2010 Wiley-Liss, Inc.

Arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVD/C) is a hereditary cardiomyopathy characterized by fibrofatty replacement of cardiomyocytes, ventricular tachyarrhythmias and sudden death. ARVD/C is mainly caused by mutations in genes encoding desmosomal proteins. However, the pathogenicity of variants is not always clear. Therefore, we created an online database (www.arvcdatabase.info), providing information on variants in ARVD/C-associated genes. We searched the literature using ARVD/C and its underlying genes as search terms. From the selected papers and our unpublished data, we collected details on the type of mutation and information provided at the protein level. A "details page" contains clinical data and references. To aid the interpretation of missense mutations, we provide data from in silico prediction methods. In May 2009 the database contained 481 variants in eight genes. A total of 144 variants are considered pathogenic, 73 are unknown/unclassified, and 264 have no known pathogenicity. The database was converted into the Leiden Open Variation Database (LOVD) format, a gene-centered collection of DNA variations. The ARVD/C database will be useful for both researchers and clinicians. It can be searched to determine if variants have been published and whether they are considered pathogenic. External users are invited to add information to improve the quantity and quality of the data entered. Hum Mutat 30:1278-1283, 2009. (C) 2009 Wiley-Liss, Inc.

This paper is a comment on “Menkes Disease Presenting with Epilepsia Partialis Continua.” While updating the LOVD (Leiden Open Variation Database) ATP7A mutation database (https://grenada.lumc.nl/LOVD2/MD/home.php) I came across a case described by Rizk and colleagues and published in your journal [1]. Rizk and colleagues report a 17-month-old girl who was referred to their hospital with continuous right hand movements which developed suddenly at age of 14 months, regression of milestones, and repetitive episodes of hypothermia. She had hypotonia and constipation. Brain magnetic resonance imaging showed among others cortical and cerebral atrophy. EEG was abnormal and she was diagnosed with epilepsia partialis continua. Magnetic resonance angiography showed relatively tortuous but patent intracranial vessels, with appearance of “hair pin” sign. She had normal hair also with light microscopy. Blood copper and ceruloplasmin levels were normal. The patient was born full term and had normal birth measures. Genetic testing revealed presence of a heterozygous variation, c.1138G>A [p.(Val380Met)], and the authors concluded the diagnosis of Menkes disease (MD) in this patient. Even though the clinical features of this female patient overlap with some of the features observed in Menkes disease patients, she lacks some of the major pathogenic criteria (such as reduced serum copper and ceruloplasmin levels, abnormal hair, hypopigmentation, and cutis laxa) (review in [2]) questioning the clinical diagnosis of Menkes disease, even though female patients may be less severely affected. Furthermore, the ATP7A variation identified is not convincing enough to establish a genetic diagnosis. Firstly, this variation is described at least once in a healthy individual (rs149523862, dbSNP database of short genetic variations, http://www.ncbi.nlm.nih.gov/SNP/), which questions its pathogenicity especially when taking into consideration that MD is a Mendelian disorder. This variation is a missense substitution in exon 4 of ATP7A proximal to but not within the 4th MBD (metal binding domain) of the ATP7A protein. Until now 70 different missense mutations in ATP7A have been described in 94 unrelated patients and none of these mutations were within the first 7 exons of ATP7A encoding the six MBDs [3]. It is generally believed that variations within these regions are more acceptable and do not necessarily lead to MD [3]. Furthermore, two commonly used and publicly available pathogenicity prediction methods, PhD-SNP (http://snps.biofold.org/phd-snp/phd-snp.html) and nsSNP analyser (http://snpanalyzer.uthsc.edu/), categorize this variation as neutral. Secondly, MD is an X-linked recessive disorder and manifesting heterozygotes are rare [4]. It is therefore extremely important to investigate the inheritance of this mutation and to perform X-inactivation studies before evaluating the clinical effect of this variation. In conclusion, the clinical diagnosis of this patient and the pathogenicity of the identified ATP7A variation should be reevaluated.

On February 20, 2015, as part of the Precision Medicine Initiative, announced by President Obama, the Food and Drug Administration (FDA) held a meeting at the National Institutes of Health (NIH) all day. The meeting was titled “Optimizing FDA's Regulatory Oversight of Next Generation Sequencing Diagnostic Tests” (Food and Drug Administration, 2015). The meeting convened thought leaders in laboratory science and clinicians in industry, academia, and advocacy. The President earmarked $10 million in his fiscal year 2016 budget for the FDA to acquire additional tools and expertise to help generate knowledge about which genetic changes are important to patient care and foster innovation in genetic sequencing technology, while ensuring that the tests are accurate and reliable. Next generation sequencing (NGS) can be used for many things, and that makes it difficult to regulate under the existing framework. If used in a clinical context, NGS might be considered an in vitro diagnostic test. The FDA would typically regulate those tests (although this regulation is also very controversial [Pathak and Terry, 2014]). However, NGS identifies more than one or two specific biological markers and may find much variation in one test application. Because some of these, perhaps the majority in the coming years, will be of unknown significance, clinicians and patients may not know what to do with the information. With the goal of appropriate oversight of NGS, the FDA posed several questions to five panels throughout the workshop. These included the topics of analytical and clinical performance. Many of the analytical questions were focused on the better use of standards and on a standard-based approach to regulating whole exome and genome sequencing. The clinical performance discussion ranged from what to communicate to whom and when, to the sharing of data in large databases, such as ClinGen. There appeared to be a great deal of consensus that sharing variants should be the norm. In addition, most clinicians and laboratorians clearly do not want the FDA to regulate the practice of medicine. I spoke at this meeting from the point of view of a patient/participant in genomic medicine. I do have some “science cred”: I am the curator of the part of the Leiden Open Variation Database at the National Center for Biotechnology Information for ABCC6; this gene causes the condition that affects my children, pseudoxanthoma elasticum. Most of my comments arose from Genetic Alliance's work with all of the stakeholders of NGS. In recent years, we have conducted both focus groups and structured interviews with individuals who have conducted NGS. My personal perspective is that we don't really base much of medicine on strict evidence—it's a combination of art and science, and its actual implementation varies widely because of the choices individuals make in response to recommendations and prescriptions. It seems to me that we are attempting to apply more rigid standards to an NGS just because it is digital and we think we can measure it better than other kinds of testing. The solution to understanding what all of these data mean, and doing it sooner than later, is to deliver results to people. With it, we must convert patients to participants, a place many people want to go anyway. Data sharing with phenotypic information is going to be critical to get us to where we understand the results of NGS. Transformation of the oversight system is required. The President is asking for this. There is no one-size-fits-all answer for what NGS results should be returned. It seems we wish there were a simple answer to the question “What should we be giving back to people, back to patients?” In most areas of our lives, we have some ability to articulate our preferences for knowing or not knowing something. We need to apply this to NGS, and we have the technologies to do it. There is a robust science around uncertainty and risk in other disciplines from which we can borrow, including studies on what it means to return results to individuals, even when those results might indicate risk for high morbidity (Chung et al., 2009). The FDA is conducting some innovative work in patient preference: the patient-focused drug development work from the Center for Drug Evaluation and Research and some of the patient preference work with algorithms on obesity by the Center for Devices and Radiological Health. The same patient/participant preference work should be considered in the oversight of NGS. The preferences of participants are critical in a learning healthcare system.

Hundreds of variants in autosomal genes associated with the limb girdle muscular dystrophies (LGMDs) have been reported as being causative. However, in most cases the proof of pathogenicity derives from their non-occurrence in hundreds of healthy controls and/or from segregation studies in small families. The limited statistics of the genetic variations in the general population may hamper a correct interpretation of the effect of variants on the protein. To clarify the meaning of low-frequency variants in LGMD genes, we have selected all variants described as causative in the Leiden Open Variation Database and the Human Gene Mutation Database. We have systematically searched for their frequency in the NHLBI GO Exome Sequencing Project (ESP) and in our internal database. Surprisingly, the ESP contains about 4% of the variants previously associated with a dominant inheritance and about 9% of those associated with a recessive inheritance. The putative disease alleles are much more frequent than those estimated considering the disease prevalence. In conclusion, we hypothesize that a number of disease-associated variants are non-pathogenic and that other variations are not fully penetrant, even if they affect the protein function, suggesting a more complex genetic mechanisms for such heterogeneous disorders.

Gap junction beta 2 (GJB2) gene is the most commonly mutated connexin gene in patients with autosomal recessive and dominant hearing loss. According to Ensembl (release 74) database, 1347 sequence variations are reported in the GJB2 gene and about 13.5% of them are categorized as missense SNPs or nonsynonymous variant. Because of the high incidence of GJB2 mutations in hearing loss patients, revealing the molecular effect of GJB2 mutations on protein structure may also provide clear point of view regarding the molecular etiology of deafness. Hence, the aim of this study is to analyze structural and functional consequences of all known GJB2 missense variations to the Cx26 protein by applying multiple bioinformatics methods. Two-hundred and eleven nonsynonymous variants were collected from Ensembl release 74, Leiden Open Variation Database (LOVD) and The Human Gene Mutation Database (HGMD). A number of bioinformatic tools were utilized for predicting the effect of GJB2 missense mutations at the sequence, structural, and functional levels. Some of the mutations were found to locate highly conserved regions and have structural and functional properties. Moreover, GJB2 mutations were also found to affect Cx26 protein at the molecular level via loss or gain of disorder, catalytic site, and post-translational modifications, including methylation, glycosylation, and ubiquitination. Findings, presented here, demonstrated the application of bioinformatic algorithms to predict the effects of mutations causing hearing impairment. I expect, this type of analysis will serve as a start point for future experimental evaluation of the GJB2 gene mutations and it will also be helpful in evaluating other deafness-related gene mutations.

It is probable that there are both genetic and environmental risk factors for breast and/or ovarian cancer. Adequate evidence suggests that mutations in the BRCA1 and BRCA2 genes are associated with an increased risk of breast and ovarian cancer, and perhaps other cancers as well (U.S. Preventive Services Task Force, 2013). Although estimates vary widely, in the general population about 5%–10% of all breast cancer and 10%–15% of ovarian cancer cases can be attributed to variation in these genes. This rate is higher in some populations and families (Fackenthal and Olopade, 2007; Ferla et al., 2007). Millions of individuals worldwide have a mutation in the BRCA1 or BRCA2 gene. Mutations in one of these genes can significantly increase an individual's chances of developing hereditary breast or ovarian cancer. A positive result asks for difficult decisions from the individual. The individual needs as much validated information as possible to make the best choices from options that are difficult to begin with. Clinicians need to know which mutations have been identified and whether they are putative. Researchers need information about the genes and associated clinical data to help refine the predictive value of the genetic test, potential allele-specific therapies, and further understanding of disease progression. None of this is possible with the mutations alone, but knowing what mutations have been discovered is an important part of discovery and clinical services. Some genes have substantial variation represented in open databases. Some of these databases have received attention from the Human Variome Project, which seeks to “collect and curate all human variation affecting human health (Ring et al., 2006).” There are groups working on tools to curate the data, such as the Leiden Open Variation Database (LOVD) (Fokkema et al. 2011), whose goal is to provide an open tool to display DNA variation. LOVD at NCBI (National Center for Biotechnology Information) offers the LOVD system installed on an NCBI server at the National Library of Medicine of the National Institutes of Health. PXE International, a small disease-specific advocacy organization for pseudoxanthoma elasticum (PXE) founded and managed by this author, has created a comprehensive database of mutations using LOVD at NCBI (PXE International, 2013, available at http://pxe.org/mutation-database). The database contains 288 ABCC6 mutations from nearly 500 people representing 20% of the known affected population and almost all of the tested population. With permission from individuals who have been tested, PXE International collects mutations from GeneDx, the laboratory with the largest ABCC6 volume of testing. Individuals from all over the world send in their test results to be placed in the database. In a bygone era, these mutations would be published, but now, unless there are other important considerations, they go largely unpublished. There have been some appeals for “microattribution” to encourage crowdsourcing variation for the human genome (Giardine et al., 2013; Patrinos et al., 2012; Giardine et al., 2011; Axton, 2011), building on a plea Axton made as early as 2008 (Axton, 2008, Nature Genetics Blog, available at http://blogs.nature.com/freeassociation/2008/03/microattribution_for_community_I.html). In recent years, NCBI has taken on the effort of cataloging variation. ClinVar provides an open-access archive of reports of relationships among clinically important variants and phenotypes. The database is integrated with other NCBI assets: dbSNP and dbVar, which maintain information about the location of variation in the genome (Landrum et al., 2013). Other efforts include the International Collaboration for Clinical Genomics (ICCG) and an effort newly funded by the National Institutes of Health, called the ClinGen Project, in which a very large consortium of these laboratories will share variants and clinical data. In June 2013, the BRCA1/2 genes received a great deal of attention. In the lawsuit Association for Molecular Pathology et al. v. Myriad Genetics, Inc., et al, the U.S. Supreme Court determined that isolated genomic DNA is not patent-eligible. This opened the door for many other laboratories to test for BRCA1/2 (Myriad is suing). However, the Supreme Court ruling did nothing to open access to the proprietary BRCA1/2 mutation database, which is considered Myriad's “trade secret” and legal according to common business practices. Myriad is not the only testing laboratory that doesn't put all of the variation it discovers into open-access databases. For variation in all genes, this is unacceptable. It is time to Free the Data! Free the Data is a grassroots movement collecting mutations and depositing them in ClinVar and other open-access databases. It was originally launched as a component of the ICCG by Robert Nussbaum of the University of California, San Francisco, and is supported by the Laboratory for Molecular Medicine at the Harvard Partners Healthcare Center for Personalized Genetic Medicine. The project invites clinicians to submit BRCA1/2 reports so that the variation can be catalogued in ClinVar. Free the Data expanded this year to invite individuals to donate their mutations and associated clinical data. The steering committee includes many of the brave pioneers from the ICCG and others who have worked on open access for a long time. A list of the steering committee and members of the consortium can be found on the Free the Data Web site (available at www.free-the-data.org). Free the Data starts with the BRCA1/2 genes, arguably the most sequenced genes in the human genome. The campaign will expand to encompass all genes and all mutations, powering open-access research and better health for all. In the information age, data are not scarce and cannot be treated as a commodity. It is time to Free the Data!