Table 3.
Emerging methods and technologies for genome-wide diagnostic investigation of patients with suspected genetic disorders.
Method or technology | Added value over existing methods | Novel insights into genotype-phenotype relationships | Factors that are prohibitive for widespread, routine clinical application | Reference |
---|---|---|---|---|
Long-range sequencing | De novo assembly of haplotypes of several Mb in size, independent of the reference genome sequence | Haplotype reconstruction, identification of breakpoints that are not in unique DNA sequences, reconstruction of chromosomal rearrangements at nucleotide resolution | Costs per sample, not suitable for high-throughput application | [27] |
Optical mapping of high molecular weight DNA | De novo assembly of all chromosomes of individual genomes, independent of the reference genome sequence | Identification of the structure of rearrangements, discrimination between direct and inverted tandem duplications and insertions with three breaks; identification of genes disrupted at breakpoints of rearrangements; discovery of ~60 Mb of non-redundant genome sequence that is absent in the GRCh38 reference sequence | Costs per sample, not suitable for high-throughput application | [28–30, 41] |
Assessment of the pathogenic effects of CNVs other than by copy number changes of genes within the CNV | Interpretation of pathogenic effect of CNVs that disrupt or delete a TAD regulatory boundary | Identification of genes adjacent to CNVs that contribute to the clinical phenotype because their expression becomes influenced by novel, ectopic regulatory sequence elements | Software tools are available to identify adjacent genes that are associated with HPO terms matching the phenotype, but these await clinical validation | [42, 43] |
Assessment of pathogenic effects of genes adjacent to breakpoints of de novo structural rearrangements by combining in silico analysis with transcriptome sequencing of lymphoblastoid cell lines | Identification of distorted expression of genes within ~1–2 Mb of breakpoints by determining overlaps of transcription starts, TADs, promoter capture Hi-C interactions and DNase hypersensitive sites | Prioritization of genes adjacent to breakpoints as candidate genes that contribute to the clinical phenotype | Laborious, requires dedicated software tools that are not commonly available | [4, 44] |
CNV, copy number variant, HPO, human phenotype ontology (see http://hpo.jax.org/app/), TAD, topologically associated domain, Hi-C, method to study the three-dimensional organization of an entire genome by an unbiased identification of chromatin interaction.