Next Generation Sequencing and Bioinformatics Analysis of Family Genetic Inheritance

Kanzi, Aquillah M. and San, James Emmanuel and Chimukangara, Benjamin and Wilkinson, Eduan and Fish, Maryam and Ramsuran, Veron and de Oliveira, Tulio (2020) Next Generation Sequencing and Bioinformatics Analysis of Family Genetic Inheritance. Frontiers in Genetics, 11. ISSN 1664-8021

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Abstract

Mendelian and complex genetic trait diseases continue to burden and affect society both socially and economically. The lack of effective tests has hampered diagnosis thus, the affected lack proper prognosis. Mendelian diseases are caused by genetic mutations in a singular gene while complex trait diseases are caused by the accumulation of mutations in either linked or unlinked genomic regions. Significant advances have been made in identifying novel diseases associated mutations especially with the introduction of next generation and third generation sequencing. Regardless, some diseases are still without diagnosis as most tests rely on SNP genotyping panels developed from population based genetic analyses. Analysis of family genetic inheritance using whole genomes, whole exomes or a panel of genes has been shown to be effective in identifying disease-causing mutations. In this review, we discuss next generation and third generation sequencing platforms, bioinformatic tools and genetic resources commonly used to analyze family based genomic data with a focus on identifying inherited or novel disease-causing mutations. Additionally, we also highlight the analytical, ethical and regulatory challenges associated with analyzing personal genomes which constitute the data used for family genetic inheritance.

Item Type: Article
Subjects: Open Digi Academic > Medical Science
Depositing User: Unnamed user with email support@opendigiacademic.com
Date Deposited: 07 Feb 2023 12:13
Last Modified: 12 Aug 2024 11:42
URI: http://publications.journalstm.com/id/eprint/170

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