Literature DB >> 33193618

Next Generation Sequencing and Bioinformatics Analysis of Family Genetic Inheritance.

Aquillah M Kanzi1, James Emmanuel San1, Benjamin Chimukangara1, Eduan Wilkinson1, Maryam Fish1, Veron Ramsuran1, Tulio de Oliveira1.   

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.
Copyright © 2020 Kanzi, San, Chimukangara, Wilkinson, Fish, Ramsuran and de Oliveira.

Entities:  

Keywords:  family genetic inheritance; genetic variants; next generation sequencing; phenotypic traits; third generation sequencing

Year:  2020        PMID: 33193618      PMCID: PMC7649788          DOI: 10.3389/fgene.2020.544162

Source DB:  PubMed          Journal:  Front Genet        ISSN: 1664-8021            Impact factor:   4.599


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