2022
DOI: 10.3390/jpm12020175
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Computational Genomics in the Era of Precision Medicine: Applications to Variant Analysis and Gene Therapy

Abstract: Rapid methodological advances in statistical and computational genomics have enabled researchers to better identify and interpret both rare and common variants responsible for complex human diseases. As we continue to see an expansion of these advances in the field, it is now imperative for researchers to understand the resources and methodologies available for various data types and study designs. In this review, we provide an overview of recent methods for identifying rare and common variants and understandi… Show more

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Cited by 7 publications
(4 citation statements)
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References 145 publications
(157 reference statements)
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“…Inferred LoF variants consisted of stop-gain, stop-loss, frameshift insertions/deletions, canonical splice site and start-loss. LoF and D-Mis mutations were considered ‘damaging’ 197 .…”
Section: Methodsmentioning
confidence: 99%
“…Inferred LoF variants consisted of stop-gain, stop-loss, frameshift insertions/deletions, canonical splice site and start-loss. LoF and D-Mis mutations were considered ‘damaging’ 197 .…”
Section: Methodsmentioning
confidence: 99%
“…LoF and D-Mis variants were considered ‘damaging’. Analyses were conducted separately for each class of variant – de novo variants (DNVs), homozygous recessive variants, and rare, heterozygous dominant variants – following previously established analytical methodologies 33,88 . Firstly, DNVs from the Yale cohort were called from all CH parent-offspring trios using the established TrioDeNovo pipeline 90,91 .…”
Section: Methodsmentioning
confidence: 99%
“…87 Variant filtration and analysis were conducted following GATK best practices and consensus workflows. 88 MetaSVM and MPC algorithms were used to predict the deleteriousness of missense variants (D-mis, defined as MetaSVM-deleterious or MPC-score ≥2). 89 Inferred loss-of-function (LoF) variants consisted of stop-gain, stop-loss, frameshift insertions/deletions, canonical splice site and start-loss.…”
Section: Wes and Variant Callingmentioning
confidence: 99%
“…With the development of bioinformatics technology, studying the function and regulation mechanism of genes to find drug targets has become the mainstream direction of medical treatment now. 12,13 By means of bioinformatics, we found that genetic changes between different biological states could serve as potential therapeutic measures for DMED. 14,15 In this article, transcriptome data of normal and DMED rats were obtained from gene expression omnibus (GEO; https://www.ncbi.nlm.nih.gov/gds) GSE2457 dataset.…”
Section: Introductionmentioning
confidence: 99%