Searching journal content for articles similar to Alharbi et al. 15 (7): 967.

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  1. ....korbie@uq.edu.au or d.korbie@garvan.org.auAbstractBRCA1 and BRCA2 germline variant classification is vital for clinical management of families with hereditary breast and ovarian cancer. However, clinical classification of rare variants outside of the splice donor/acceptor ±1,2-dinucleotides remains challenging...
  2. ...ratio test. We validate BayesRVAT through simulations and analyses of quantitative and binary traits from the UK Biobank, demonstrating improved performance over existing gene-level RVAT strategies.ResultsBayesian aggregation for rare variant association testingGene-level burden tests aggregate...
  3. ...manually reviewed for potential relevance to the NTD phenotype. The relevance of SVs/genes was investigated using population databases (gnomAD and database of genomic variants), Online Mendelian Inheritance in Man, Human Gene Mutation Database, and an internal database of >20,000 chromosomal microarray...
  4. ...encounter a number of VUS or rare variants in GUS. Whereas these individuals can provide high-quality sequence information and variant interpretation based on bioinformatic analysis (e.g., known pathogenic and benign variant databases, population genomic data, in silico prediction algorithms, experiment...
  5. ...in adjusting for the effects of population structure compared with traditional methods. We also examine the performance of these approaches in rare variant analysis under environmental confounding. We demonstrate how SPCs extract patterns of population structure that are resilient to the presence of discrete...
  6. ...degenerative retinopathies, but most are variants of uncertain significance. We performed a deep mutational scan (DMS) of nearly all possible single amino acid substitutions in CRX using a cell-based transcriptional reporter assay, curating a high-confidence list of nearly 2000 variants with altered...
  7. ...Oxford Nanopore Technologies long-read s of 68 individuals from the undiagnosed disease network (UDN) with no previously identified diagnostic mutations from short-read sequencing. Using our optimized SV detection pipelines and 571 control long-read s, we detected 716 long-read rare (MAF < 0.01) SV...
  8. ...stem cell–derived SOD1E100G MNs and shows that dysregulation of VGF, INA, and PENK is a strong disease predictor across species and SOD1 mutations. Our study reveals MN population-specific gene expression and temporal disease-induced regulation that together provide a basis to explain ALS selective...
  9. ...frequency data from SweGen have been used to map complex chromosomal rearrangements (Eisfeldt et al. 2019). Several studies have used the frequency data from SweGen for identifying potentially pathogenic rare mutations usually not found in healthy individuals, for example, to identify germline mutations...
  10. ...and orthogonal validation of variants in known disease genes yielded 12 novel genetic diagnoses due to de novo and rare inherited SNVs, indels, SVs, and STR expansions. In an additional five families, we identified a candidate disease-causing variant, including an MCF2/FGF13 fusion and a PSMA3 deletion. However...
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