4.6 Review

Next Generation Sequencing and Bioinformatics Analysis of Family Genetic Inheritance

期刊

FRONTIERS IN GENETICS
卷 11, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2020.544162

关键词

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

资金

  1. South African Medical Research Council
  2. South African Department of Science and Technology
  3. African Academy of Sciences (AAS)
  4. Royal Society - UK Government as part of the Global Challenge Research Fund (GCRF) Grant [FLAIR-FLR nR1 n190204]
  5. South African Medical Research Council (SAMRC)
  6. Department of Science and Technology (DST)
  7. Sub-Saharan African Network for TB/HIV Research Excellence (SANTHE), a DELTAS Africa Initiative [DEL-15-006]

向作者/读者索取更多资源

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.

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