| Literature DB >> 33566436 |
Rani Sachdev1,2, Mike Field3,4, Gareth S Baynam5, John Beilby6, Maria Berarducci7, Yemima Berman8,9, Tiffany Boughtwood10,11, Marie B Cusack12, Vanessa Fitzgerald13, Jeffery Fletcher14, Mary-Louise Freckmann8, Natalie Grainger12, Edwin Kirk1,2,15, Ben Lundie16, Sebastian Lunke17,18, Lesley McGregor19, David Mowat1,2, Gayathri Parasivam12, Vanessa Tyrell20, Mathew Wallis21,22, Susan M White17,23, Alan S L Ma24,25.
Abstract
Genomic testing for a genetic diagnosis is becoming standard of care for many children, especially those with a syndromal intellectual disability. While previously this type of specialised testing was performed mainly by clinical genetics teams, it is increasingly being 'mainstreamed' into standard paediatric care. With the introduction of a new Medicare rebate for genomic testing in May 2020, this type of testing is now available for paediatricians to order, in consultation with clinical genetics. Children must be aged less than 10 years with facial dysmorphism and multiple congenital abnormalities or have global developmental delay or moderate to severe intellectual disability. This rebate should increase the likelihood of a genetic diagnosis, with accompanying benefits for patient management, reproductive planning and diagnostic certainty. Similar to the introduction of chromosomal microarray into mainstream paediatrics, this genomic testing will increase the number of genetic diagnoses, however, will also yield more variants of uncertain significance, incidental findings, and negative results. This paper aims to guide paediatricians through the process of genomic testing, and represents the combined expertise of educators, clinical geneticists, paediatricians and genomic pathologists around Australia. Its purpose is to help paediatricians navigate choosing the right genomic test, consenting patients and understanding the possible outcomes of testing.Entities:
Mesh:
Year: 2021 PMID: 33566436 PMCID: PMC8049061 DOI: 10.1111/jpc.15382
Source DB: PubMed Journal: J Paediatr Child Health ISSN: 1034-4810 Impact factor: 1.954
Fig. 1Suggested pathway for genomic testing under Medicare Benefits Schedule item 73358.
Types of genomic testing and possible outcomes of testing
| Term | Explanation | Additional considerations |
|---|---|---|
| Types of genomic tests | ||
| Whole genome Sequencing (WGS) | WGS utilises next‐generation sequencing (NGS) to sequence the entire genome including the exons, introns and intergenic regions, and even the mitochondrial genome | This has the highest yield, but also generates the most data for analysis. It also allows for accurate copy number (deletion/duplication) analysis. To maximise diagnostic yield and assist interpretation of VUS, a trio WES or WGS is highly recommended and should be considered first rather than singleton testing |
| Whole exome sequencing (WES) | WES utilises NGS to sequence all coding regions of genes. This does not include the intergenic regions or deep introns and may not include the mitochondrial genome |
See above considerations WES sequences only the exons, or protein coding regions of the genome, as well as the immediately adjacent intronic sequence in which variants affecting mRNA splicing may be identified. This includes approximately 50 million base pairs of DNA or ~2.8% of the genome |
| Gene panel | A particular predefined subset of genes is analysed, either in its own genomic test or as a part of WES or WGS | It may be appropriate to only examine the specific genes related to the clinical presentation. For example, in Noonan syndrome, there are approximately 20 causative genes reported to date. Therefore, examination only of those genes that are associated with Noonan syndrome is undertaken |
| Single gene sequencing | Conventional Sanger sequencing of a single gene | When the diagnosis is both clinically and genetically homogenous (e.g. Cystic Fibrosis and the |
| Possible outcomes of genomic testing | ||
| Genetic cause identified | A likely pathogenic or known pathogenic variant in a disease gene associated with the subject's phenotype has been found | A genetic cause is identified in 29–57% of cases |
| Variant of uncertain significance (VUS) | These are seen in up to 20–25% of cases | A VUS should not be used in clinical decision making, and may need further discussion with local genetics services, the laboratory, and even further research and time to clarify. Parental studies may be helpful to determine if a VUS is benign or pathogenic, and this is why doing a trio analysis upfront is so helpful. If the variant is inherited from an unaffected parent it may be considered less likely to be causative. Guidance on setting expectations including possibility of VUS results is provided on the CGE website |
| Incidental finding (IF) | A finding that is unrelated to the initial indication of testing, but is of possible clinical importance. Examples include a cancer predisposition gene, or unrelated genetic condition such as Cystic Fibrosis carrier status. Mathematical modelling estimates their frequency to be 1.5–6.5%, |
The implications associated with finding Ifs may be concerning for the patient or to the parents themselves. However, it is vital to highlight that most diagnostic genomic analysis is patient‐specific and phenotype‐focused, and therefore this approach will largely mitigate the risk. The identification and reporting of Ifs is a controversial area and raises additional issues such as insurance and screening. The Australian approach to Ifs differs from that in the USA where the American College of Medical Genetics recommends screening a certain set of ‘medically actionable’ genes (termed secondary findings) and recommends reporting of all Ifs. |
| Negative result | No causative variant is found. Possible explanations are: The underlying cause is not monogenic; it may be oligogenic or polygenic; the former is hypothesised to be the case in some patients with autism, explaining the lower diagnostic rate The causative variant is in an as yet undiscovered gene The variant is not detected due to technical limitations of the test The condition is not genetic | Given gene discovery is dynamically occurring, with 300 novel genes identified per year, |