- Is a 50 gene panel that includes assessment of non-coding variants
Is ideal for patients with a clinical suspicion of hypoglycemia and familial hyperinsulinism. The genes on this panel are included in the Comprehensive Metabolism Panel.
Number of genes50
CPT codesSEQ 81479
The Blueprint Genetics Hypoglycemia, Hyperinsulinism and Ketone Metabolism Panel (test code ME0601):
Commonly used ICD-10 code(s) when ordering the Hypoglycemia, Hyperinsulinism and Ketone Metabolism Panel
|E11.9||MODY maturity onset diabetes of the young|
- Blood (min. 1ml) in an EDTA tube
- Extracted DNA, min. 2 μg in TE buffer or equivalent
- Saliva (Oragene DNA OG-500 kit/OGD-500 or OG-575 & OGD-575)
Label the sample tube with your patient's name, date of birth and the date of sample collection.
Note that we do not accept DNA samples isolated from formalin-fixed paraffin-embedded (FFPE) tissue. Read more about our sample requirements here.
Familial hyperinsulinism (FHI) is characterized by hypoglycemia that can have an onset neonatally or later during childhood. The disease presentation can vary considerably even within one family. It can present as severe with a very low glucose concentration or with variable and milder hypoglycemia. The clinical utility of this panel for familial hyperinsulinism is 50-60%. Most of the patients with familial hyperinsulinism have a mutated ABCC8 gene, while mutations in KCNJ11, GLUD1 and HFN4A have each been found in approximately 5% of patients. Congenital isolated hyperinsulinism is the most common cause of severe and persistent hypoglycemia in neonatal period. The prevalence has been estimated at 1:50,000 live births, with much higher numbers in certain more homogenous populations. Infants of diabetic mothers may present with a clinical picture identical to that of FHI and this panel has differential diagnostic power to diagnose cases with genetic causes of transient hypoglycemia in newborns. This panel also includes the Glycogen Storage Disorder Panel genes for differential diagnostic purposes, since hepatomegaly due to glycogen storage disorder might not be visible in the newborn period. Furthermore, the panel includes genes relevant in additional related phenotypes such as maturity onset diabetes of the young (MODY) or exercise-induced hyperinsulinism. Insulinoma and drug-induced hypoglycemia should also be considered in later-onset hyperinsulinism phenotypes.
Genes in the Hypoglycemia, Hyperinsulinism and Ketone Metabolism Panel and their clinical significance
|ABCC8||Hyperinsulinemic hypoglycemia, Diabetes, permanent neonatal, Hypoglycemia, leucine-induced, Diabetes mellitus, transient neonatal||AD/AR||170||641|
|ACSF3||Combined malonic and methylmalonic aciduria||AR||18||22|
|AGL||Glycogen storage disease||AR||142||245|
|ALDOA||Glycogen storage disease||AR||3||8|
|ALDOB||Fructose intolerance, hereditary||AR||41||67|
|ENO3||Glycogen storage disease||AR||3||6|
|EPM2A||Epilepsy, progressive myoclonic||AR||17||77|
|G6PC||Glycogen storage disease||AR||46||117|
|GAA||Glycogen storage disease||AR||193||573|
|GBE1||Glycogen storage disease||AR||36||70|
|GCK||Hyperinsulinemic hypoglycemia, familial, Diabetes mellitus, permanent neonatal, Maturity-onset diabetes of the young, type 2||AD/AR||178||837|
|GLUD1*||Hyperammonemia-hyperinsulinism, Hyperinsulinemic hypoglycemia||AD/AR||14||38|
|GYG1||Glycogen storage disease, Polyglucosan body myopathy 2||AR||9||16|
|GYS1||Glycogen storage disease||AR||8||5|
|GYS2||Glycogen storage disease||AR||20||23|
|HADH||3-hydroxyacyl-CoA dehydrogenase deficiency||AR||10||26|
|HMGCL||3-hydroxy-3-methylglutaryl-CoA lyase deficiency||AR||24||60|
|HMGCS2||3-hydroxy-3-methylglutaryl-CoA synthase 2 deficiency||AR||9||30|
|HNF1A||Maturity onset diabetes of the young, Renal cell carcinoma, nonpapillary clear cell, Liver adenomatosis||AD||78||528|
|HNF4A||Congenital hyperinsulinism, diazoxide-responsive, Maturity onset diabetes of the young, Fanconi renotubular syndrome 4 with maturity-onset diabetes of the young||AD||32||147|
|INSR||Hyperinsulinemic hypoglycemia, familial, Rabson-Mendenhall syndrome, Donohoe syndrome||AD/AR||44||190|
|KCNJ11||Hyperinsulinemic hypoglycemia, Diabetes, permanent neonatal, Diabetes mellitus, transient neonatal, Maturity-onset diabetes of the young 13, Paternally-inherited mutations can cause Focal adenomatous hyperplasia||AD/AR||63||178|
|LDHA||Glycogen storage disease||AR||1||9|
|MPV17||Mitochondrial DNA depletion syndrome||AR||35||50|
|NHLRC1||Epilepsy, progressive myoclonic||AR||14||70|
|OXCT1||Succinyl CoA:3-oxoacid CoA transferase deficiency||AR||7||33|
|PC||Pyruvate carboxylase deficiency||AR||32||41|
|PCK1||Phosphoenolpyruvate carboxykinase 1 deficiency||AD/AR||2||3|
|PDX1||Pancreatic agenesis, Neonatal diabetes mellitus, Maturity-onset diabetes of the young, type 4, Lactic acidemia due to PDX1 deficiency||AD/AR||10||28|
|PFKM||Glycogen storage disease||AR||12||26|
|PGAM2||Glycogen storage disease||AR||4||11|
|PGK1||Phosphoglycerate kinase 1 deficiency||XL||16||26|
|PGM1||Congenital disorder of glycosylation||AR||11||35|
|PHKA1||Glycogen storage disease||XL||9||8|
|PHKA2||Glycogen storage disease||XL||36||114|
|PHKB||Glycogen storage disease||AR||9||26|
|PHKG2||Glycogen storage disease||AR||12||33|
|PRKAG2#||Hypertrophic cardiomyopathy (HCM), Wolff-Parkinson-White syndrome, Glycogen storage disease of heart, lethal congenital||AD||19||57|
|PRKAG3||Increased glyogen content in skeletal muscle||AD||1||1|
|PTF1A||Pancreatic and cerebellar agenesis, Pancreatic agenesis 2||AR||4||16|
|PYGL||Glycogen storage disease||AR||21||44|
|PYGM||Glycogen storage disease||AR||77||168|
|RBCK1||Polyglucosan body myopathy||AR||11||14|
|SLC16A1||Hyperinsulinemic hypoglycemia, familial, Erythrocyte lactate transporter defect, Monocarboxylate transporter 1 deficiency, Myoclonic-atonic epilepsy||AD/AR||12||14|
|SLC2A2||Glycogen storage disease, Fanconi-Bickel syndrome, Neonatal diabetes mellitus||AR||24||73|
|SLC37A4||Glycogen storage disease||AR||49||113|
* Some, or all, of the gene is duplicated in the genome. Read more.
# The gene has suboptimal coverage (means <90% of the gene’s target nucleotides are covered at >20x with mapping quality score (MQ>20) reads).
The sensitivity to detect variants may be limited in genes marked with an asterisk (*) or number sign (#)
Gene refers to the HGNC approved gene symbol; Inheritance refers to inheritance patterns such as autosomal dominant (AD), autosomal recessive (AR), X-linked (XL), X-linked dominant (XLD) and X-linked recessive (XLR); ClinVar refers to the number of variants in the gene classified as pathogenic or likely pathogenic in this database (ClinVar); HGMD refers to the number of variants with possible disease association in the gene listed in Human Gene Mutation Database (HGMD). The list of associated, gene specific phenotypes are generated from CGD or Orphanet databases.
Non-coding variants covered by Hypoglycemia, Hyperinsulinism and Ketone Metabolism Panel
|Gene||Genomic location HG19||HGVS||RefSeq||RS-number|
- CAP and ISO-15189 accreditations covering all operations at Blueprint Genetics including all Whole Exome Sequencing, NGS panels and confirmatory testing
- CLIA-certified personnel performing clinical testing in a CLIA-certified laboratory
- Powerful sequencing technologies, advanced target enrichment methods and precision bioinformatics pipelines ensure superior analytical performance
- Careful construction of clinically effective and scientifically justified gene panels
- Our Nucleus online portal providing transparent and easy access to quality and performance data at the patient level
- Our publically available analytic validation demonstrating complete details of test performance
- ~1,500 non-coding disease causing variants in Blueprint WES assay (please see below ‘Non-coding disease causing variants covered by this panel’)
- Our rigorous variant classification based on modified ACMG variant classification scheme
- Our systematic clinical interpretation workflow using proprietary software enabling accurate and traceable processing of NGS data
- Our comprehensive clinical statements
The following exons are not included in the panel as they are not sufficiently covered with high quality sequence reads: PRKAG2 (10, 13). Genes with suboptimal coverage in our assay are marked with number sign (#) and genes with partial, or whole gene, segmental duplications in the human genome are marked with an asterisk (*) if they overlap with the UCSC pseudogene regions. Gene is considered to have suboptimal coverage when >90% of the gene’s target nucleotides are not covered at >20x with mapping quality score (MQ>20) reads. The technology may have limited sensitivity to detect variants in genes marked with these symbols (please see the Panel content table above).
- Complex inversions
- Gene conversions
- Balanced translocations
- Mitochondrial DNA variants
- Repeat expansion disorders unless specifically mentioned
- Non-coding variants deeper than ±20 base pairs from exon-intron boundary unless otherwise indicated (please see above Panel Content / non-coding variants covered by the panel).
This test may not reliably detect the following:
- Low level mosaicism (variant with a minor allele fraction of 14.6% is detected with 90% probability)
- Stretches of mononucleotide repeats
- Indels larger than 50bp
- Single exon deletions or duplications
- Variants within pseudogene regions/duplicated segments
The sensitivity of this test may be reduced if DNA is extracted by a laboratory other than Blueprint Genetics.
For additional information, please refer to the Test performance section and see our Analytic Validation.
The Blueprint Genetics hypoglycemia, hyperinsulinism and ketone metabolism panel covers classical genes associated with familial hyperinsulinism and MODY maturity onset diabetes of the young. The genes on the panel have been carefully selected based on scientific literature, mutation databases and our experience.
Our panels are sliced from our high-quality whole exome sequencing data. Please see our sequencing and detection performance table for different types of alterations at the whole exome level (Table).
Assays have been validated for different starting materials including EDTA-blood, isolated DNA (no FFPE), saliva and dry blood spots (filter card) and all provide high-quality results. The diagnostic yield varies substantially depending on the assay used, referring healthcare professional, hospital and country. Blueprint Genetics’ Plus Analysis (Seq+Del/Dup) maximizes the chance to find a molecular genetic diagnosis for your patient although Sequence Analysis or Del/Dup Analysis may be a cost-effective first line test if your patient’s phenotype is suggestive of a specific mutation type.
Performance of Blueprint Genetics Whole Exome Sequencing (WES) assay. All individual panels are sliced from WES data.
|Sensitivity % (TP/(TP+FN)||Specificity %|
|Single nucleotide variants||99.65% (412,456/413,893)||>99.99%|
|Insertions, deletions and indels by sequence analysis|
|1-10 bps||96.94% (17,070/17,608)||>99.99%|
|11-50 bps||99.07% (957/966)||>99.99%|
|Copy number variants (exon level dels/dups)|
|Clinical samples (small CNVs, n=52)|
|1 exon level deletion||92.3% (24/26)||NA|
|2 exons level deletion/duplication||100.0% (11/11)||NA|
|3-7 exons level deletion/duplication||93.3% (14/15)||NA|
|Microdeletion/-duplication sdrs (large CNVs, n=37))|
|Size range (0.1-47 Mb)||100% (37/37)|
|Simulated CNV detection|
|2 exons level deletion/duplication||90.98% (7,357/8,086)||99.96%|
|5 exons level deletion/duplication||98.63% (7,975/8,086)||99.98%|
|The performance presented above reached by WES with the following coverage metrics|
|Mean sequencing depth at exome level||174x|
|Nucleotides with >20x sequencing coverage (%)||99.4%|
The target region for each gene includes coding exons and ±20 base pairs from the exon-intron boundary. In addition, the panel includes non-coding variants if listed above (Non-coding variants covered by the panel). Some regions of the gene(s) may be removed from the panel if specifically mentioned in the ‘Test limitations” section above. The sequencing data generated in our laboratory is analyzed with our proprietary data analysis and annotation pipeline, integrating state-of-the art algorithms and industry-standard software solutions. Incorporation of rigorous quality control steps throughout the workflow of the pipeline ensures the consistency, validity and accuracy of results. Our pipeline is streamlined to maximize sensitivity without sacrificing specificity. We have incorporated a number of reference population databases and mutation databases such as, but not limited, to 1000 Genomes Project, gnomAD, ClinVar and HGMD into our clinical interpretation software to make the process effective and efficient. For missense variants, in silico variant prediction tools such as SIFT, PolyPhen, MutationTaster are used to assist with variant classification. Through our online ordering and statement reporting system, Nucleus, the customer has an access to details of the analysis, including patient specific sequencing metrics, a gene level coverage plot and a list of regions with inadequate coverage if present. This reflects our mission to build fully transparent diagnostics where customers have easy access to crucial details of the analysis process.
We provide customers with the most comprehensive clinical report available on the market. Clinical interpretation requires a fundamental understanding of clinical genetics and genetic principles. At Blueprint Genetics, our PhD molecular geneticists, medical geneticists and clinical consultants prepare the clinical statement together by evaluating the identified variants in the context of the phenotypic information provided in the requisition form. Our goal is to provide clinically meaningful statements that are understandable for all medical professionals regardless of whether they have formal training in genetics.
Variant classification is the corner stone of clinical interpretation and resulting patient management decisions. Our classifications follow the Blueprint Genetics Variant Classification Schemes based on the ACMG guideline 2015. Minor modifications were made to increase reproducibility of the variant classification and improve the clinical validity of the report. Our experience with tens of thousands of clinical cases analyzed at our laboratory allowed us to further develop the industry standard.
The final step in the analysis of sequence variants is confirmation of variants classified as pathogenic or likely pathogenic using bi-directional Sanger sequencing. Variant(s) fulfilling the following criteria are not Sanger confirmed: the variant quality score is above the internal threshold for a true positive call, and visual check-up of the variant at IGV is in-line with the variant call. Reported variants of uncertain significance are confirmed with bi-directional Sanger sequencing only if the quality score is below our internally defined quality score for true positive call. Reported copy number variations with a size <10 exons are confirmed by orthogonal methods such as qPCR if the specific CNV has been seen less than three times at Blueprint Genetics.
Our clinical statement includes tables for sequencing and copy number variants that include basic variant information (genomic coordinates, HGVS nomenclature, zygosity, allele frequencies, in silico predictions, OMIM phenotypes and classification of the variant). In addition, the statement includes detailed descriptions of the variant, gene and phenotype(s) including the role of the specific gene in human disease, the mutation profile, information about the gene’s variation in population cohorts and detailed information about related phenotypes. We also provide links to the references used, congress abstracts and mutation databases to help our customers further evaluate the reported findings if desired. The conclusion summarizes all of the existing information and provides our rationale for the classification of the variant.
Identification of pathogenic or likely pathogenic variants in dominant disorders or their combinations in different alleles in recessive disorders are considered molecular confirmation of the clinical diagnosis. In these cases, family member testing can be used for risk stratification within the family. In the case of variants of uncertain significance (VUS), we do not recommend family member risk stratification based on the VUS result. Furthermore, in the case of VUS, we do not recommend the use of genetic information in patient management or genetic counseling.
Our interpretation team analyzes millions of variants from thousands of individuals with rare diseases. Thus, our database, and our understanding of variants and related phenotypes, is growing by leaps and bounds. Our laboratory is therefore well positioned to re-classify previously reported variants as new information becomes available. If a variant previously reported by Blueprint Genetics is re-classified, our laboratory will issue a follow-up statement to the original ordering health care provider at no additional cost.