Korean Journal of Radiology · 2021 · 14 citations · 36 references
Life SciencesGeneticsMolecular GeneticsGenomicsHuman GeneticsMedical GeneticsFamily-based Genetic AnalysisGenetic DisordersGenetic RiskVariant AnalysisVariant DetectionVariant InterpretationChromosomal Microarray AnalysisExome SequencingFamily-based Rare Variant AnalysisKnowledge Graph-based PrioritizationMicroarray AnalysisNumerical Chromosomal AbnormalitiesWhole Exome Sequencing StudiesWhole-exome Sequencing Analysis
OBJECTIVE: Familial intracranial aneurysms (FIAs) are found in approximately 6%-20% of patients with intracranial aneurysms (IAs), suggesting that genetic predisposition likely plays a role in its pathogenesis. The aim of this study was to identify possible IA-associated variants using whole exome sequencing (WES) in selected Korean families with FIA. MATERIALS AND METHODS: Among the 26 families in our institutional database with two or more IA-affected first-degree relatives, three families that were genetically enriched (multiple, early onset, or common site involvement within the families) for IA were selected for WES. Filtering strategies, including a family-based approach and knowledge-based prioritization, were applied to derive possible IA-associated variants from the families. A chromosomal microarray was performed to detect relatively large chromosomal abnormalities. RESULTS: c.58C>T), which are the most promising candidates among the 11 potential IA-associated variants considering gene-phenotype relationships, gene function, co-segregation, and variant pathogenicity. Microarray analysis did not reveal any significant copy number variants in the families. CONCLUSION: genes are likely responsible for the subsets of FIAs in a cohort of Korean families.
36
Sue Richards, Nazneen Aziz, Sherri J. Bale et al. · Genetics in Medicine · 2015 · 32.2K citations · Full text
Analysis of protein-coding genetic variation in 60,706 humans
Monkol Lek, Konrad J. Karczewski, Eric Vallabh Minikel et al. · Nature · 2016 · 10.3K citations · Full text
A general framework for estimating the relative pathogenicity of human genetic variants
Martin Kircher, Daniela Witten, Preti Jain et al. · Nature Genetics · 2014 · 6.6K citations · Full text