Exome sequencing analysis: a guide to disease variant detection.

作者: Ofer Isakov , Marie Perrone , Noam Shomron

DOI: 10.1007/978-1-62703-514-9_8

关键词: Genetic variationExome sequencingSequence analysisGene AnnotationAllele frequencyGenomeGeneExomeComputational biologyBiology

摘要: Whole exome sequencing presents a powerful tool to study rare genetic disorders. The most challenging part of using for the purpose disease-causing variant detection is analyzing, interpreting, and filtering large number detected variants. In this chapter we provide comprehensive description various steps required such an analysis. We address strategies in selecting samples sequence, technical considerations involved sequencing. then discuss how identify variants, methods first annotating variants characteristics as allele frequency, location genome, predicted severity, classifying prioritizing based on those annotations. Finally, review possible gene annotations that may help establish relationship between genes carrying high-priority phenotype question, order likely causative mutations.

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