Searching journal content for articles similar to Pittman et al. 19 (6): 987.

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  1. ...carrying a particular mutation in a known risk gene often demonstrate variable phenotypes, suggesting the presence of genetic modifiers. To explore oligogenic causes of CHD without assessing billions of variant combinations, we develop an efficient, simulation-based method to detect gene sets that carry co...
  2. ...asked whether integration of predicted splicing-altering mutations with other genetic evidence can help to formally prioritize NDD-risk genes using a rigorous statistical framework (Methods). Specifically, we used two models to identify candidate risk genes based on the burden of de novo variants, model...
  3. ..., particularly for variants that induce new or cryptic splice site usage. Here, we present SeqSplice, a high-throughput RNA splicing methodology utilizing barcoded minigene constructs together with a bespoke bioinformatics pipeline for identifying and quantifying the impacts for splice-altering variants. Seq...
  4. ...interpreted due to advancements in sequencing technologies and improved bioinformatic analysis. Structural variants (SVs) represent an important subset of somatic events in tumors. While the detection of SVs has been markedly improved by the development of long-read sequencing, somatic variant identification...
  5. ...of schizophrenia and other complex diseases using fast variance-components analysis. Nat Genet 47: 1385–1392. doi:10.1038/ng.3431 ↵Lui JC, Raimann A, Hojo H, Dong L, Roschger P, Kikani B, Wintergerst U, Fratzl-Zelman N, Jee YH, Haeusler G, et al. 2022. A neomorphic variant in SP7 alters sequence specificity...
  6. ...@pennmedicine.upenn.eduAbstractAutism spectrum disorder (ASD) is a highly heterogenous neurodevelopmental disorder with numerous genetic risk factors. Notably, a disproportionate number of risk genes encode transcription regulators including transcription factors and proteins that regulate chromatin. Here, we test the function of nine such ASD...
  7. .../or environmental risk factors (e.g., Niemi et al. 2018), a subset of undiagnosed cases likely result from genetic factors that we are as-yet unable to identify. It is well-known that short-read sequencing (srGS) has poor sensitivity to many types of variants, especially structural variants (SVs) and variants...
  8. ...-dependent and that this regulation modulates the transcription of genes involved in cell adhesion and mRNA translation in colorectal cancer cells. Proteomic analyses reveal that ACTB and SETD3 interact with multiple large protein complexes, including complexes associated with transcriptional regulation...
  9. .... This deeper coverage may enable higher alternate allele visibility and greater confidence in variant calling at a given locus. However, rare positive variants may just as well be the result of artifacts owing to noise/error or modality-specific sequence alterations. Considering that explicit verification...
  10. ...FocalSV enables target region–based structural variant assembly and refinement using single-molecule long-read sequencing data Can Luo1,3, Zimeng Jamie Zhou2,3, Yichen Henry Liu2 and Xin Maizie Zhou1,2 1Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee 37235, USA; 2...
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