Influence of autozygosity on common disease risk across the phenotypic spectrum.

Autozygosity is associated with rare Mendelian disorders and clinically relevant quantitative traits. We investigated associations between the fraction of the genome in runs of homozygosity (FROH) and common diseases in Genes & Health (n = 23,978 British South Asians), UK Biobank (n = 397,184), and 23andMe. We show that restricting analysis to offspring of first cousins is an effective way of reducing confounding due to social/environmental correlates of FROH. Within this group in G&H+UK Biobank, we found experiment-wide significant associations between FROH and twelve common diseases. We replicated associations with type 2 diabetes (T2D) and post-traumatic stress disorder via within-sibling analysis in 23andMe (median n = 480,282). We estimated that autozygosity due to consanguinity accounts for 5%-18% of T2D cases among British Pakistanis. Our work highlights the possibility of widespread non-additive genetic effects on common diseases and has important implications for global populations with high rates of consanguinity.

Automated reanalysis application to assist in detecting novel gene-disease associations after genome sequencing.

PURPOSE: This study aimed to investigate whether a bioinformatics application can streamline genome reanalysis and yield new diagnoses for patients with rare diseases. METHODS: We developed TierUp to identify variants in new disease genes for unresolved rare disease cases recruited to the 100,000 Genomes Project, all of whom underwent genome sequencing. TierUp uses the NHS Genomic Medicine Service bioinformatics infrastructure by securely accessing case details from the Clinical Interpretation Portal application programming interface and by querying the curated PanelApp database for novel gene-disease associations. We applied TierUp to 948 cases, and a subset of variants were reclassified according to the American College of Medical Genetics and Genomics/Association of Molecular Pathology guidelines. RESULTS: A rare form of spondylometaphyseal dysplasia was diagnosed through TierUp reanalysis, and an additional 4 variants have been reported to date. From a total of 564,441 variants across patients, TierUp highlighted 410 variants present in novel disease genes in under 77 minutes, successfully expediting an important reanalysis strategy. CONCLUSION: TierUp supports claims that automation can reduce the time taken to reanalyze variants and increase the diagnostic yield from molecular testing. Clinical services should leverage bioinformatics expertise to develop tools that enable routine reanalysis. In addition, services must also explore the ethical, legal, and health economic considerations raised by automation.

Diagnostic yield of rare skeletal dysplasia conditions in the radiogenomics era.

BACKGROUND: Skeletal dysplasia (SD) conditions are rare genetic diseases of the skeleton, encompassing a heterogeneous group of over 400 disorders, and represent approximately 5% of all congenital anomalies. Developments in genetic and treatment technologies are leading to unparalleled therapeutic advances; thus, it is more important than ever to molecularly confirm SD conditions. Data on 'rates-of-molecular yields' in SD conditions, through exome sequencing approaches, is limited. Figures of 39% and 52.5% have been reported in the USA (n = 54) and South Korea (n = 185) respectively. METHODS: We discuss a single-centre (in the UK) experience of whole-exome sequencing (WES) in a cohort of 15 paediatric patients (aged 5 months to 12 years) with SD disorders previously molecularly unconfirmed. Our cohort included patients with known clinical diagnoses and undiagnosed skeletal syndromes. Extensive phenotyping and expert radiological review by a panel of international SD radiology experts, coupled with a complex bioinformatics pipeline, allowed for both gene-targeted and gene-agnostic approaches. RESULTS: Significant variants leading to a likely or confirmed diagnosis were identified in 53.3% (n = 8/15) of patients; 46.7% (n = 7/15) having a definite molecular diagnosis and 6.7% (n = 1/15) having a likely molecular diagnosis. We discuss this in the context of a rare disease in general and specifically SD presentations. Of patients with known diagnoses pre-WES (n = 10), molecular confirmation occurred in 7/10 cases, as opposed to 1/5 where a diagnosis was unknown pre-test. Thus, diagnostic return is greatest where the diagnosis is known pre-test. For WGS (whole genome sequencing, the next iteration of WES), careful case selection (ideally of known diagnoses pre-test) will yield highest returns. CONCLUSIONS: Our results highlight the cost-effective use of WES-targeted bioinformatic analysis as a diagnostic tool for SD, particularly patients with presumed SD, where detailed phenotyping is essential. Thorough co-ordinated clinical evaluation between clinical, radiological, and molecular teams is essential for improved yield and clinical care. WES (and WGS) yields will increase with time, allowing faster diagnoses, avoiding needless investigations, ensuring individualised patient care and patient reassurance. Further diagnoses will lead to increased information on natural history/mechanistic details, and likely increased therapies and clinical trials.

KIAA0753-related skeletal ciliopathy: a ninth case, extending the phenotype and reporting a novel variant.

KIAA0753-related skeletal ciliopathy is a recently described recessive disorder causing skeletal dysplasia and overlapping features of certain ciliopathies; Joubert, Jeune and Oro-facial-digital syndromes. We describe a ninth case that expands the phenotype; a 10-year-old girl with rhizomelic short stature (-5.6 SD), macrocephaly, developmental delay, CNS anomalies (thin corpus callosum, bilateral ventriculomegaly), cone-rod dystrophy, nystagmus, mild conductive hearing loss and recurrent chest infections secondary to confirmed ciliary dyskinesia. Testing for FGFR3 achondroplasia-related hotspots and mucopolysaccharidosis were negative. Whole-exome sequencing, aged eight, via skeletal dysplasia panel analysis and subsequent whole-genome sequencing (via the 100,000 genomes project) found no cause. WGS data reanalysis using exomiser uncovered compound heterozygous pathogenic KIAA0753 variants (frameshift and splice site). Further clinical and radiological surveys were consistent with the expected phenotype. We discuss the emerging phenotype of this uncommon disorder. This report details the sixth published case of skeletal dysplasia in all cases of KIAA0753-related disease and the first case to describe a novel c.1830-2A>G splice variant. Our case is the eldest woman reported to date (aged ten years) and the only known case to report associated hearing loss, leg-length discrepancy, pectus carinatum, respiratory ciliary dyskinesia and late-onset (9 years old) neuro-degenerative regression.

Automated reanalysis, a novel way to diagnose an ultra-rare condition: Fibronectin-1-related spondylometaphyseal dysplasia (SMD-FN1).

We report a further case of spondylometaphyseal dysplasia - corner fracture type due to the fibronectin-1 gene (SMD-FN1) in a child originally thought to have metaphyseal chondrodysplasia-Brussels type (MCD Brussels). We highlight phenotypic differences with the SMD-FN1 published reports. This case is unique in terms of the method of molecular confirmation. Findings from the 100 000 Genomes Project were originally negative (in both tier 1 and 2); however, subsequent reanalysis, initiated by an automated search for new gene-disease associations in PanelApp, highlighted a candidate diagnostic variant. Our child had short stature, facial dysmorphism, spondylometaphyseal dysplasia and corner fractures and a heterozygous de novo missense variant in FN1 (c.675C>G p.(Cys225Trp), which was likely pathogenic. The variant matched the clinical and radiological features and a diagnosis of SMD-FN1 was confirmed. We explore the diagnostic journey of this patient, compare her findings with the previous 15 patients reported with SMD-FN1 and discuss the diagnostic utility of automated reanalysis. We consider differences and similarities between MCD Brussels and SMD-FN1, by reviewing literature on both conditions and assess whether they are in fact the same disorder.

Earlier detection of hypochondroplasia: A large single-center UK case series and systematic review.

Hypochondroplasia (HCH) is a rare autosomal dominant skeletal dysplasia condition caused by FGFR3 mutations leading to disproportionate short stature. Classically HCH presents in toddlers or school-age children, as limb-to-trunk disproportion and is often mild and easily overlooked during infancy. We report experiences from a single-center UK HCH-cohort of 31 patients, the rate of antenatal HCH detection in our cohort (13/31, 41.9%) and describe relevant case-data for this subset of 13 patients. Inclusion criteria were patients with confirmed molecular HCH diagnosis (by age 3 years) and presenting with short long-bones or large head size on antenatal ultrasound scan. We then conducted a systematic literature review using PUBMED and MEDLINE, analyzing patients with HCH and related antenatal findings. Antenatally suspected (with subsequent molecular confirmation) HCH has been reported 15 times in the literature (2004-2019). Key markers (consistent in both groups) included reduced; femur length, humeral length and increased; biparietal diameter and head circumference. HCH is increasingly detected both antenatally and in infancy, contrary to previous descriptions. This is likely due to greater HCH awareness, improved imaging, and easier molecular testing. Thus, one should consider HCH outside the classical presenting period. Studying the natural history of younger patients with HCH is important with the advent of several targeted FGFR3 therapies currently in trials for Achondroplasia, that may soon be trialed in HCH.

SCUBE3 loss-of-function causes a recognizable recessive developmental disorder due to defective bone morphogenetic protein signaling.

Signal peptide-CUB-EGF domain-containing protein 3 (SCUBE3) is a member of a small family of multifunctional cell surface-anchored glycoproteins functioning as co-receptors for a variety of growth factors. Here we report that bi-allelic inactivating variants in SCUBE3 have pleiotropic consequences on development and cause a previously unrecognized syndromic disorder. Eighteen affected individuals from nine unrelated families showed a consistent phenotype characterized by reduced growth, skeletal features, distinctive craniofacial appearance, and dental anomalies. In vitro functional validation studies demonstrated a variable impact of disease-causing variants on transcript processing, protein secretion and function, and their dysregulating effect on bone morphogenetic protein (BMP) signaling. We show that SCUBE3 acts as a BMP2/BMP4 co-receptor, recruits the BMP receptor complexes into raft microdomains, and positively modulates signaling possibly by augmenting the specific interactions between BMPs and BMP type I receptors. Scube3-/- mice showed craniofacial and dental defects, reduced body size, and defective endochondral bone growth due to impaired BMP-mediated chondrogenesis and osteogenesis, recapitulating the human disorder. Our findings identify a human disease caused by defective function of a member of the SCUBE family, and link SCUBE3 to processes controlling growth, morphogenesis, and bone and teeth development through modulation of BMP signaling.