[State of knowledge: principles and criteria for gene selection for the molecular diagnosis of constitutional genetic diseases by next-generation sequencing - Report in support of the deployment of the sequencing service]
Provost C, Gravel C
Record ID 32018004807
French
Original Title:
Principes et critères de sélection des gènes pour le diagnostic moléculaire des maladies en génétique constitutionnelle par séquençage de nouvelle génération (SNG)
Authors' objectives:
The mandate of the Réseau québécois de diagnostic moléculaire (RQDM), of which the
Centre québécois de génomique clinique (QCGC) is a part, is to meet the current and
future needs of the health and social services system in the field of molecular diagnostics
and personalized medicine, mainly in the areas of rare diseases and cancer. To this end,
the RQDM, supported by the Ministère de la Santé et des Services sociaux (MSSS), has
undertaken a provincial project to upgrade technology and to develop and repatriate tests
performed by next generation sequencing (NGS).
To standardize, oversee and ensure the quality of the NGS services currently being
developed in Québec, representatives from the MSSS, the RQDM and the CQGC have
jointly requested from the Institut national d'excellence en santé et en services sociaux
(INESSS) state-of-knowledge reports on the principles and criteria for guiding the
decision to perform exome sequencing instead of targeted sequencing of a limited
number of genes. The principles and criteria for selecting genes to be tested, accessing
sequencing data for all the genes associated with a monogenic disorder or even the
entire exome, and parent-child trio testing are also among the evaluation questions. In
short, the questions addressed to INESSS are intended to contribute to an overall
reflection on the testing approach and the thoroughness of the genomic tests that should
be proposed according to the different clinical contexts.
This state-of-knowledge report specifically deals with the principles and criteria that
should guide the selection of genes to be tested in the context of the molecular diagnosis
of a genetic disease.
Authors' results and conclusions:
RESULTS (#1 HARMONIZATION OF TERMS AND LEVELS OF EVIDENCE FOR GENE-DISEASE ASSOCIATIONS AND
GENE CURATION IN CONSTITUTIONAL GENETICS): Until recently, there was a great deal of variation in the terms and the different initiatives
for gene curation in the literature. It is for this reason that the Gene Curation Coalition
(GenCC) was created. It brings together most of the learned societies that have
proposed gene curation recommendations, criteria or initiatives in recent years and
proposes the harmonization of the terms and the definitions of levels of evidence for
gene-disease associations. This harmonized classification is divided into eight
categories: “Definitive”, “Strong”, “Moderate”, “Limited”, “Contested”, “Refuted”, “No
known relationship to disease” and “Animal model only”. The process of evaluating the
evidence and classifying the clinical validity of the proposed gene-disease associations is
based on the semiquantitative evaluation of the available genetic and experimental
evidence. (#2 SELECTING GENES TO BE INCLUDED IN A DIAGNOSTIC NGS PANEL): The genes to be included in a diagnostic panel differ according to the learned society
consulted. According to the American College of Medical Genetics and Genomics
(ACMG), it is recommended that all the genes associated with a given Mendelian disease
(GAD) for which the validity of the association with the disease is definitive, strong or
moderate be included. On the other hand, according to Genomics England PanelApp and
Gene2Phenotyp (G2P, European Bioinformatics Institute), it is recommended that only
genes with a level of evidence of definitive or strong validity be included.
It is also recommended to include, where appropriate, the GADs involved in the
differential diagnoses to maximize the test’s sensitivity. In addition, some learned
societies suggest that genes with incomplete penetrance and certain genes of uncertain
significance (GUS) with limited validity, but for which new evidence has emerged, may
also be included, with caution. In this case, disclosure consent explaining the possibility
of inconclusive results should be requested from the patient beforehand, and the results
should be clearly described and reported in a section separate from the GADs in the
clinical report.
When using genome-wide NGS, some learned societies recommend variant screening
strategies that focus on the patient's genotype and phenotype to achieve a balance
between maximizing sensitivity and reducing the number of variants to be analysed. (#3 TOOLS AND RESOURCES AVAILABLE FOR DEVELOPING DIAGNOSTIC GENE PANELS): Numerous information sources and tools for structuring and facilitating the development
of gene panels are available online. Evidence of the clinical validity of genes, as
documented by various resources (e.g., GenCC, OMIM, ClinGen, DECIPHER, and
PanelApp), should be considered when developing and maintaining gene lists. (#4 PANEL UPDATING AND MAINTENANCE): The contents of diagnostic panels should be monitored and updated frequently. The
review process may include consultations with experts in the targeted diseases, literature
searches, and consulting specific resources. In addition, the laboratory's bioinformatics
pipeline can be configured to flag and present all new entries in the programmed
databases. ClinGen proposes time intervals for recuration procedures based on different
levels of evidence of clinical validity of gene-disease associations, while the ACMG
recommends a manual review every six months. (#5 REANALYSIS OF DATA AND PRODUCTION OF AN AMENDED REPORT): According to the learned societies consulted, there is no requirement for laboratories to
routinely reanalyze sequencing data. Rather, it is generally recommended that requests
for reanalysis be made by the patient (or their parents) through the treating clinician.
However, if the laboratory learns that the status of a specific variant has been
reclassified, it is good clinical practice to identify the patients concerned and generate an
amended report for the requesting clinician. CONCLUSION: The present state-of-knowledge report has enabled us to gather the available relevant
literature on the principles and criteria for selecting genes to be tested for the
investigation of a disease in constitutional genetics. The consulted literature has made it
possible to meet the main objective of this work, which is to inform the MSSS of the best
strategies for selecting genes associated with genetic diseases to create or update
diagnostic gene panels. The implementation of a province-wide classification system
based exclusively on minimum levels of evidence of gene-disease association would
harmonize practices, reporting and patient care and services.
Authors' recommendations:
RESULTS (#1 HARMONIZATION OF TERMS AND LEVELS OF EVIDENCE FOR GENE-DISEASE ASSOCIATIONS AND
GENE CURATION IN CONSTITUTIONAL GENETICS): Until recently, there was a great deal of variation in the terms and the different initiatives
for gene curation in the literature. It is for this reason that the Gene Curation Coalition
(GenCC) was created. It brings together most of the learned societies that have
proposed gene curation recommendations, criteria or initiatives in recent years and
proposes the harmonization of the terms and the definitions of levels of evidence for
gene-disease associations. This harmonized classification is divided into eight
categories: “Definitive”, “Strong”, “Moderate”, “Limited”, “Contested”, “Refuted”, “No
known relationship to disease” and “Animal model only”. The process of evaluating the
evidence and classifying the clinical validity of the proposed gene-disease associations is
based on the semiquantitative evaluation of the available genetic and experimental
evidence. (#2 SELECTING GENES TO BE INCLUDED IN A DIAGNOSTIC NGS PANEL): The genes to be included in a diagnostic panel differ according to the learned society
consulted. According to the American College of Medical Genetics and Genomics
(ACMG), it is recommended that all the genes associated with a given Mendelian disease
(GAD) for which the validity of the association with the disease is definitive, strong or
moderate be included. On the other hand, according to Genomics England PanelApp and
Gene2Phenotyp (G2P, European Bioinformatics Institute), it is recommended that only
genes with a level of evidence of definitive or strong validity be included.
It is also recommended to include, where appropriate, the GADs involved in the
differential diagnoses to maximize the test’s sensitivity. In addition, some learned
societies suggest that genes with incomplete penetrance and certain genes of uncertain
significance (GUS) with limited validity, but for which new evidence has emerged, may
also be included, with caution. In this case, disclosure consent explaining the possibility
of inconclusive results should be requested from the patient beforehand, and the results
should be clearly described and reported in a section separate from the GADs in the
clinical report.
When using genome-wide NGS, some learned societies recommend variant screening
strategies that focus on the patient's genotype and phenotype to achieve a balance
between maximizing sensitivity and reducing the number of variants to be analysed. (#3 TOOLS AND RESOURCES AVAILABLE FOR DEVELOPING DIAGNOSTIC GENE PANELS): Numerous information sources and tools for structuring and facilitating the development
of gene panels are available online. Evidence of the clinical validity of genes, as
documented by various resources (e.g., GenCC, OMIM, ClinGen, DECIPHER, and
PanelApp), should be considered when developing and maintaining gene lists. (#4 PANEL UPDATING AND MAINTENANCE): The contents of diagnostic panels should be monitored and updated frequently. The
review process may include consultations with experts in the targeted diseases, literature
searches, and consulting specific resources. In addition, the laboratory's bioinformatics
pipeline can be configured to flag and present all new entries in the programmed
databases. ClinGen proposes time intervals for recuration procedures based on different
levels of evidence of clinical validity of gene-disease associations, while the ACMG
recommends a manual review every six months. (#5 REANALYSIS OF DATA AND PRODUCTION OF AN AMENDED REPORT): According to the learned societies consulted, there is no requirement for laboratories to
routinely reanalyze sequencing data. Rather, it is generally recommended that requests
for reanalysis be made by the patient (or their parents) through the treating clinician.
However, if the laboratory learns that the status of a specific variant has been
reclassified, it is good clinical practice to identify the patients concerned and generate an
amended report for the requesting clinician. CONCLUSION: The present state-of-knowledge report has enabled us to gather the available relevant
literature on the principles and criteria for selecting genes to be tested for the
investigation of a disease in constitutional genetics. The consulted literature has made it
possible to meet the main objective of this work, which is to inform the MSSS of the best
strategies for selecting genes associated with genetic diseases to create or update
diagnostic gene panels. The implementation of a province-wide classification system
based exclusively on minimum levels of evidence of gene-disease association would
harmonize practices, reporting and patient care and services.
Authors' methods:
This state-of-knowledge report is a synthesis of the results of a rapid literature review that
INESSS carried out on the principles and criteria for guiding the choice of genes to be
tested according to their clinical relevance in constitutional genetic diseases. Publications
were selected according to PIPOH1 criteria previously established by two scientific
professionals. These publications include health technology assessment reports,
systematic or nonsystematic reviews with or without meta-analysis, guidance documents,
clinical practice guidelines, and learned society recommendations or positions on the
topic of interest. A preliminary version of the report was read by two RQDM expert members to check the direction of the work and to ensure that it meets the MSSS’s and
RQDM’s needs
Details
Project Status:
Completed
Year Published:
2023
English language abstract:
An English language summary is available
Publication Type:
Not Assigned
Country:
Canada
Province:
Quebec
MeSH Terms
- Genetic Testing
- Whole Genome Sequencing
- High-Throughput Nucleotide Sequencing
- Genetic Diseases, Inborn
- Genetic Diseases, X-Linked
- Genetic Diseases, Y-Linked
Contact
Organisation Name:
Institut national d'excellence en sante et en services sociaux
Contact Address:
L'Institut national d'excellence en sante et en services sociaux (INESSS) , 2021, avenue Union, bureau 10.083, Montreal, Quebec, Canada, H3A 2S9;Tel: 1+514-873-2563, Fax: 1+514-873-1369
Contact Name:
demande@inesss.qc.ca
Contact Email:
demande@inesss.qc.ca
Copyright:
L'Institut national d'excellence en sante et en services sociaux (INESSS)
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.