Warsaw Genomics
Genetic test

Diabetes

CAP & EMQN quality control
Price 2194 PLN 31 days from sample registration in laboratory 68 genes Sample Cheek swab or Venous blood or DNA
Genetic testing with clinical consultation at Warsaw Genomics
~100 000
genomes in our reference database
CAP & EMQN
quality control
In-house
our own laboratory, full control
RODO
genetic data encrypted & protected

What's included in the price

  • NGS sequencing — analysis of the full coding sequence
  • In-house result interpretation by our own team
  • Material collection / delivery per instructions
  • Result available online in the patient portal (PDF)

A consultation with a clinical geneticist is available as a separate service. See the clinic

About this test

Monogenic diabetes is caused by mutations in single genes and is responsible for 1-2% of all cases of the disease. Symptoms indicative of monogenic diabetes include neonatal diabetes mellitus, MODY diabetes mellitus (occurring at the age of 15-35 years, similar in course to type 2 diabetes), and other rare related syndromes.

In this test, thanks to modern genomic sequencing technology, we examine the complete sequence of genes responsible for monogenic diabetes.

Persistent neonatal diabetes is characterized by hyperglycaemia, which occurs chronically in the first 12 months of life and requires insulin treatment. The first symptoms of the disease are hyperglycaemia, excretion of sugar in the urine, intrauterine growth retardation, acute dehydration, and difficulty gaining weight.

Transient diabetes mellitus in newborns usually resolves at the age of 18 months and does not require further treatment, although approximately 50% of patients relapse. Diabetes mellitus in newborns affects 1 in 100,000 people and is most often caused by mutations in the KCNJ11, ABCC8 and INS genes. Patients with mutations in the first two genes usually develop symptoms of the disease before the age of 3 months and include hyperglycaemia and ketoacidosis, and may also be associated with neurological symptoms, including epilepsy (DEND syndrome). Patients with mutations in the INS gene develop hyperglycemia and ketoacidosis by around 9 weeks of age.

MODY diabetes mellitus is non-insulin-dependent diabetes mellitus, which develops in patients before the age of 25. The disease often involves degeneration of the retina and kidney disease. MODY affects 1 in 10,000 adults and 1 in 23,000 kids. The most common cause is mutations in the HNF1A, HNF4A and GCK genes. Mutations in HNF genes are associated with slowly progressing dysfunction of pancreatic beta cells, and the most effective therapy is sulfonylurea derivatives. In patients with GCK mutations, the disease is very mild, does not progress and is not associated with the risk of micro- and macroangiopathic complications; usually does not require treatment.

Genes analysed (68)

Gene Inheritance Associated condition
ABCC8 AD/AR Diabetes mellitus, permanent neonatal 3, with or without neurologic features, Hyperinsulinemic hypoglycemia, familial, 3, Maturity-onset diabetes of the young, type 12
ACE AD/AR
AKT2 autosomal dominant
APPL1
AQP2 AD/AR
AVPR2 X-linked
BLK autosomal dominant Maturity-onset diabetes of the young 6
CAPN10
CCR5 -
CDKAL1 -
CEL autosomal dominant Maturity-onset diabetes of the young 6
CISD2
CTLA4 autosomal dominant
DCAF17
EIF2AK3 autosomal recessive Epiphyseal dysplasia, multiple, with early-onset diabetes mellitus
ENPP1 autosomal recessive Arterial calcification, generalized, of infancy, 1, Proteinuria, low molecular weight, with hypercalciuric nephrocalcinosis
FOXC2 autosomal dominant
FOXP3 X-linked Immunodysregulation, polyendocrinopathy, and enteropathy, X-linked, Immunodysregulation, polyendocrinopathy, and enteropathy, X-linked
G6PC2 AD/AR
GATA6
GCK AD/AR Hyperinsulinemic hypoglycemia, familial, 3, Hyperinsulinemic hypoglycemia, familial, 3, Maturity-onset diabetes of the young 6
GLIS3 autosomal recessive Diabetes mellitus, neonatal, with congenital hypothyroidism
GLUD1 AD/AR Hyperinsulinemic hypoglycemia, familial, 3, Hyperinsulinemic hypoglycemia, familial, 6
GPD2 autosomal dominant
HADH autosomal recessive 3-Hydroxyacyl-Coa dehydrogenase deficiency
HMGA1 autosomal dominant
HNF1A autosomal dominant Maturity-onset diabetes of the young 6, Maturity-onset diabetes of the young, type III, Renal cell carcinoma, nonpapillary
HNF1B autosomal dominant Renal cell carcinoma, nonpapillary, Renal cell carcinoma, nonpapillary, Renal cysts and diabetes syndrome
HNF4A autosomal dominant Maturity-onset diabetes of the young 6, Maturity-onset diabetes of the young, type 1
IGF2BP2 autosomal dominant
IL1RN autosomal recessive
IL2RA autosomal recessive
IL6 AR/AD
INS autosomal dominant Hyperinsulinemic hypoglycemia, familial, 3
INSR AD/AR Donohue syndrome, Hyperinsulinemic hypoglycemia, familial, 5, Pineal hyperplasia, insulin-resistant diabetes mellitus, and somatic abnormalities
IRS1 AD/AR
ITPR3 autosomal recessive
KCNJ11 AD/AR Hyperinsulinemic hypoglycemia, familial, 3, Maturity-onset diabetes of the young, type 13
KCNQ1 AD/AR/DG Atrial fibrillation, familial, 3, Jervell and Lange-Nielsen syndrome 1, Long QT syndrome 3, Short QT syndrome 1
KLF11 autosomal dominant Maturity-onset diabetes of the young 6
LIPC AR/AD
LMNA AD/AR Cardiomyopathy, dilated, 1FF, Emery-Dreifuss muscular dystrophy 1, X-linked, Heart-hand syndrome, Slovenian type, Lipodystrophy, familial partial, type 7, LMNA-related congenital muscular dystrophy, Muscular dystrophy, limb-girdle, type 2G
MAPK8IP1 autosomal dominant
MTNR1B autosomal dominant
NEUROD1 autosomal dominant Maturity-onset diabetes of the young 6
NEUROG3 autosomal recessive
NKX2-2
OAS1 -
PAX4 autosomal dominant Diabetes mellitus, noninsulin-dependent
PDX1 autosomal recessive Diabetes mellitus, noninsulin-dependent, Pancreatic agenesis, congenital
PON1
PPARG AD/DG (razem z PPP1R3A i PPARG) Lipodystrophy, familial partial, type 3, Lipodystrophy, familial partial, type 3
PPP1R3A autosomal dominant
PTPN1 autosomal dominant
PTPN22 AR/AD
RETN autosomal dominant
RFX6 autosomal recessive Mitchell-Riley syndrome
SLC16A1 AD/AR Hyperinsulinemic hypoglycemia, familial, 3, Monocarboxylate transporter 1 deficiency
SLC19A2 autosomal recessive Thiamine-Responsive megaloblastic anemia syndrome
SLC2A2 autosomal recessive
SLC30A8 autosomal dominant
SOD2
SUMO4 -
TCF7L2 autosomal dominant
UCP2 AD/AR Maturity-onset diabetes of the young, type 12
VEGFA -
WFS1 autosomal recessive Wolfram syndrome 1
ZFP57 -

Click a gene to see a single-gene test.

How the test works

  1. 1

    Order online

    No referral needed. You order online.

  2. 2

    Collect the sample

    Sample: Cheek swab or Venous blood or DNA.

  3. 3

    Result

    Available in 31 days from sample registration in laboratory, online.

Methodology
Methodology
Information on the test method:

At first, deoxyribonucleic acid (DNA) is isolated from a blood sample or paraffin embedded tissue block. The quantity and quality of the material is determined in spectrophotometric and fluorometric assays. From mechanically or enzymatically fragmented DNA a library is made to be used for determination, sequencing and examination of selected genes. The library is sequenced on a new generation sequencer. Afterwards, sequencing results are subjected to bioinformatics analysis and clinical interpretation. Genetic variants are identified using BurrowsWheeler Aligner. The test detects 100% of substitutions and 95% of small insertions and deletions.

Information on variant classification:

The study report provides information on variants classified as ‘potentially pathogenic’ and ‘pathogenic’ depending on their suspected clinical significance. The identified variants are classified under the following categories:

Pathogenic variant: the detected change in the gene sequence directly associates with disease development. At the same time, some pathogenic changes may not have full penetration, meaning that a single mutation may not be enough to cause a full-blown disease.

Potentially pathogenic variant: the detected change in the gene sequence may be, with a great probability, associated with disease development however it is not possible to prove this association on the basis of currently available scientific data. Variant pathogenicity confirmation would require additional tests and evidence; it cannot be excluded that further tests might prove that the change has limited or no clinical significance.

Variant of unknown pathogenicity: based on the currently available scientific data it is not possible to determine the significance of the detected change.

Potentially benign variant: the detected change in the gene sequence most probably does not associate with disease development, however based on the currently available scientific data the benignity of the mutation cannot be confirmed. Confirmation of the clinical significance of the variant would require additional tests and evidence; it cannot be excluded that further tests might prove that the detected mutation has clinical significance and would cause disease development.

Benign variant: the detected change does not associate with disease development.

The identified genetic variants are classified based on the guidelines of the American College of Medical Genetics and Genomics and the American Association for Molecular Pathology (S. Richards, Genet Med. 2015 May; 17(5):405-24). In variant classification the following criteria are considered:

  • Previous variant identification in persons burdened with the disease
  • Variant impact of functional gene product synthesis determined through bioinformatics analyses, confirmed by in vitro/in vivo studies
  • Variant location (exon/intron, functional domain)
  • De novo/hereditary change
  • Variant incidence in general population (each variant with incidence >5% in line with Exome Sequencing Project, 1000 Genomes Project or Exome Aggregation Consortium is classified as benign change)

Variant incidence in general population with relation to patient population The final classification of variants is made on the basis of the total of the above-mentioned criteria. The data bases include: 1000GP, ClinVar, ConsensusPathDB, Exome Aggregation Consortium, Exome Variant Server, FATHMM, GO (Gene Ontology), GTEx (Genotype-Tissue Expression), GWAS (Genome Wide Association Study), HGMD, KEGG, MetaLR, MetaSVM, MutationAssessor, MutationTaster, OMIM, PolyPhen-2, PROVEAN, SIFT, SnpEff, dbNSFP, UniProt, VEP (Variant Effect Predictor).

Test limitations:

All sequencing technologies have some limitations. Our tests use new generation sequencing (NGS) to examine coding and splicing regions of disease-associated genes. Sequencing techniques and subsequent bioinformatics analyses are aimed at limiting the significance of pseudo-gene sequences, however presence of highly homologous gene sequences may still occasionally disturb the identification of pathogenic alleles, deletions/duplications. The Sanger sequencing method is used to confirm variants with lower quality parameters. Deletion/duplication analyses show qualitative changes in DNA covering at least one exon and always require confirmation with other methods (qPCR or MLPA). The analyses are not designed for detecting certain types of genomic changes, such as translocations, inversions, dynamic mutations (e.g. increased number of trinucleotide repetitions) or mutations in regulatory or intronic regions. In case increased numbers of di- or trinucleotide repetitions are reported, it should be assumed that the exact number of repetitions is not precise. The test is not intended to detect somatic mosaicism and somatic mutation analyses should be made in the context of the germinal DNA sequence.

It is not possible to exclude mutations in genes and regions other than those covered by the test as well as alternations in the gene copy number. The test report includes information on changes in gene sequence identified on the basis of a comparison against current reference sequences maintained in NCBI Nucleotide and Ensembl databases. Tests are developed by Warsaw Genomics for clinical objectives. All test results collected are interpreted and analysed by scientific and medical experts of Warsaw Genomics.

Frequently asked questions

How long does the Diabetes test take?

The result is usually available within 31 days from sample registration in laboratory.

Do I need a referral?

No. You can order this genetic test online without a referral.

How many genes does this panel cover?

The panel analyses 68 genes.

How much does the test cost?

The price of the test is 2194 PLN.

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