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Advances in spatial omics technologies now allow multiple types of data to be acquired from the same tissue slice. To realize the full potential of such data, we need spatially informed methods for data integration. Here, we introduce SpatialGlue, a graph neural network model with a dual-attention mechanism that deciphers spatial domains by intra-omics integration of spatial location and omics measurement followed by cross-omics integration. We demonstrated SpatialGlue on data acquired from different tissue types using different technologies, including spatial epigenome–transcriptome and transcriptome–proteome modalities. Compared to other methods, SpatialGlue captured more anatomical details and more accurately resolved spatial domains such as the cortex layers of the brain. Our method also identified cell types like spleen macrophage subsets located at three different zones that were not available in the original data annotations. SpatialGlue scales well with data size and can be used to integrate three modalities. Our spatial multi-omics analysis tool combines the information from complementary omics modalities to obtain a holistic view of cellular and tissue properties.

ObjectiveUse next-generation sequencing (NGS) technology to improve our diagnostic yield in patients with suspected genetic disorders in the Asian setting.DesignA diagnostic study conducted between 2014 and 2019 (and ongoing) under the Singapore Undiagnosed Disease Program. Date of last analysis was 1 July 2019.SettingInpatient and outpatient genetics service at two large academic centres in Singapore.PatientsInclusion criteria: patients suspected of genetic disorders, based on abnormal antenatal ultrasound, multiple congenital anomalies and developmental delay. Exclusion criteria: patients with known genetic disorders, either after clinical assessment or investigations (such as karyotype or chromosomal microarray).InterventionsUse of NGS technology—whole exome sequencing (WES) or whole genome sequencing (WGS).Main outcome measures(1) Diagnostic yield by sequencing type, (2) diagnostic yield by phenotypical categories, (3) reduction in time to diagnosis and (4) change in clinical outcomes and management.ResultsWe demonstrate a 37.8% diagnostic yield for WES (n=172) and a 33.3% yield for WGS (n=24). The yield was higher when sequencing was conducted on trios (40.2%), as well as for certain phenotypes (neuromuscular, 54%, and skeletal dysplasia, 50%). In addition to aiding genetic counselling in 100% of the families, a positive result led to a change in treatment in 27% of patients.ConclusionGenomic sequencing is an effective method for diagnosing rare disease or previous ‘undiagnosed’ disease. The clinical utility of WES/WGS is seen in the shortened time to diagnosis and the discovery of novel variants. Additionally, reaching a diagnosis significantly impacts families and leads to alteration in management of these patients.

Selection and prioritization of phenotype-centric variants remains a challenging part of variant analysis and interpretation in clinical exome sequencing. Phenotype-driven shortlisting of patient-specific gene lists can avoid missed diagnosis. Here, we analyzed the relevance of using primary Human Phenotype Ontology identifiers (HPO IDs) in prioritizing Mendelian disease genes across 30 in-house, 10 previously reported, and 10 recently published cases using three popular web-based gene prioritization tools (OMIMExplorer, VarElect & Phenolyzer). We assessed partial HPO-based gene prioritization using randomly chosen and top 10%, 30%, and 50% HPO IDs based on information content and found high variance within rank ratios across the former vs the latter. This signified that randomly selected less-specific HPO IDs for a given disease phenotype performed poorly by ranking probe gene farther away from the top rank. In contrast, the use of top 10%, 30%, and 50% HPO IDs individually could rank the probe gene among the top 1% in the ranked list of genes that was equivalent to the results when the full list of HPO IDs were used. Hence, we conclude that use of just the top 10% of HPO IDs chosen based on information content is sufficient for ranking the probe gene at top position. Our findings provide practical guidance for utilizing structured phenotype semantics and web-based gene-ranking tools to aid in identifying known as well unknown candidate gene associations in Mendelian disorders.

Duchenne and Becker muscular dystrophies (DMD/BMD) are X‐linked recessive disorders caused by mutations in the DMD gene. Emerging therapies targeting patients with specific mutations are now becoming a reality for many of these patients. Precise molecular diagnosis is essential to facilitate the identification of possible new treatments for patients in the local context. In this study, we screened 145 dystrophinopathic patients in Singapore and assessed their molecular status for eligibility to current emerging genetic therapies. Overall, 140 (96.5%) of all patients harbored pathogenic DMDmutations comprising 95 exonic deletions (65.5%), 14 exonic duplications (9.7%), and 31 pathogenic small mutations (21.4%). Nonsense and frameshift mutations constitute 83.9% of all the small mutations. We found 71% (103/145) of all Singaporean dystrophinopathy patients to be theoretically amenable for exon skipping, either through skipping of single (53.1%) or multiple exons (17.9%). This approach is applicable to 81.1% (77/95) of patients carrying deletions and 83.9% (26/31) of those with small mutations. Eteplirsen induced skipping of exon 51 is applicable to 12.4% of local patients. Nonsense read‐through therapy was found to be applicable in another 12.4% of all patients. Mutation screening is crucial for providing insights into the underlying genetic signature of the disease in the local population and contributes toward existing information on DMDmutations in Asia and globally. This will guide future targeted drug development and clinical trial planning for this disease.

Polio eradication needs a new routine immunisation schedule—three or four doses of bivalent type 1 and type 3 oral poliovirus vaccine (bOPV) and one dose of inactivated poliovirus vaccine (IPV), but no immunogenicity data are available for this schedule. We aimed to assess immunogenicity of this vaccine schedule.

Objective Cluster genes, specifically the class 3 semaphorins (SEMA3) including SEMA3C, have been associated with the development of Hirschsprung disease (HSCR) in Caucasian populations. We aimed to screen for rare and common variants in SEMA3Cin Indonesian patients with HSCR.Methods In this prospective clinical study, we analyzed SEMA3Cgene variants in 55 patients with HSCR through DNA sequencing and bioinformatics analyses.Results Two variants in SEMA3Cwere found: p.Val337Met (rs1527482) and p.Val579 =  (rs2272351). The rare variant rs1527482 (A) was significantly overrepresented in our HSCR patients (9.1%) compared with South Asian controls in the 1000 Genomes (4.7%) and Exome Aggregation Consortium (ExAC; 3.5%) databases. Our analysis using bioinformatics tools predicted this variant to be evolutionarily conserved and damaging to SEMA3C protein function. Although the frequency of the other variant, rs2272351 (G), also differed significantly in Indonesian patients with HSCR (27.3%) from that in South Asian controls in 1000 Genomes (6.2%) and ExAC (4.6%), it is a synonymous variant and not likely to affect protein function.Conclusions This is the first comprehensive report of SEMA3Cscreening in patients of Asian ancestry with HSCR and identifies rs1527482 as a possible disease risk allele in this population.