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Objective: Use next-generation sequencing (NGS) technology to improve our diagnostic yield in patients with suspected genetic disorders in the Asian setting., Design: A diagnostic study conducted between 2014 and 2019 (and ongoing) under the Singapore Undiagnosed Disease Program. Date of last analysis was 1 July 2019., Setting: Inpatient and outpatient genetics service at two large academic centres in Singapore., Patients: Inclusion 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)., Interventions: Use 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., Results: We 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., Conclusion: Genomic 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., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.)

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 DMD mutations 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 DMD mutations in Asia and globally. This will guide future targeted drug development and clinical trial planning for this disease., (© 2019 Wiley Periodicals, Inc.)

Twin and family studies suggest that political attitudes are partially determined by an individual's genotype. The dopamine D4 receptor gene (DRD4) exon III repeat region that has been extensively studied in connection with human behaviour, is a plausible candidate to contribute to individual differences in political attitudes. A first United States study provisionally identified this gene with political attitude along a liberal-conservative axis albeit contingent upon number of friends. In a large sample of 1771 Han Chinese university students in Singapore, we observed a significant main effect of association between the DRD4 exon III variable number of tandem repeats and political attitude. Subjects with two copies of the 4-repeat allele (4R/4R) were significantly more conservative. Our results provided evidence for a role of the DRD4 gene variants in contributing to individual differences in political attitude particularly in females and more generally suggested that associations between individual genes, and neurochemical pathways, contributing to traits relevant to the social sciences can be provisionally identified., (© 2015 The Author(s).)

Association studies are widely seen as the most promising approach for finding polymorphisms that influence genetically complex traits, such as common diseases and responses to their treatment. Considerable interest has therefore recently focused on the development of methods that efficiently screen genomic regions or whole genomes for gene variants associated with complex phenotypes. One key element in this search is the use of linkage disequilibrium to gain maximal information from typing a selected subset of highly informative single-nucleotide polymorphism (SNP) markers, now often called "tagging SNPs" (tSNPs). Probably the most common approach to linkage-disequilibrium gene mapping involves a three-step program: (1) characterization of the haplotype structure in candidate genes or genomic regions of interest, (2) identification of tSNPs sufficient to represent the most common haplotypes, and (3) typing of tSNPs in clinical material. Early definitions of tSNPs focused on the amount of haplotype diversity that they explained. To select tSNPs that would have maximal power in a genetic association study, however, we have developed optimization criteria based on the r2 measure of association and have compared these with other criteria based on the haplotype diversity. To evaluate the full program and to assess how well the selected tags are likely to perform, we have determined the haplotype structure and have assessed tSNPs in the SCN1A gene, an important candidate gene for sporadic epilepsy. We find that as few as four tSNPs are predicted to maintain a consistently high r2 value with all other common SNPs in the gene, indicating that the tags could be used in an association study with only a modest reduction in power relative to direct assays of all common SNPs. This implies that very large case-control studies can be screened for variation in hundreds of candidate genes with manageable experimental effort, once tSNPs are identified. However, our results also show that tSNPs identified in one population may not necessarily perform well in another, indicating that the preliminary study to identify tSNPs and the later case-control study should be performed in the same population. Our results also indicate that tSNPs will not easily identify discrepant SNPs, which lie on importantly discriminating but apparently short genealogical branches. This could significantly complicate tagging approaches for phenotypes influenced by variants that have experienced positive selection.