Warsaw Genomics
Genetic test

Monogenic obesity

CAP & EMQN quality control
Price 2194 PLN 31 days from sample registration in laboratory 65 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

Obesity is a condition characterized by excessive accumulation of fat tissue, which amounts exceed physiological needs of the body and leads to dangerous to health consequences. It is a risk factor of type 2 diabetes, cardiovascular disorders, and cancers.

In the majority of cases obesity is an effect of bad lifestyle – excessive calorie intake and too little physical activity, however, there are some types of obesity, which are genetically predisposed due to the defects in various genes for example responsible for appetite regulation. Commonly individuals with genetically conditioned obesity suffer from endocrine abnormalities.

Moreover, obesity is a part of many genetically conditioned syndromes such as Bardet-Biedl, Alstrom, Cohen, and Prader-Willi syndromes.

Genes analysed (65)

Gene Inheritance Associated condition
ADCY3
ADRB2 AD/AR
ADRB3 MG OBESITY
AFF4
AGRP
ALMS1 autosomal recessive Alstrom syndrome
ARL6 autosomal recessive Bardet-Biedl syndrome 1, Retinitis pigmentosa
BBS1 autosomal recessive Bardet-Biedl syndrome 1
BBS10 autosomal recessive Bardet-Biedl syndrome 1
BBS12 autosomal recessive Bardet-Biedl syndrome 1
BBS2 autosomal recessive Bardet-Biedl syndrome 1, Retinitis pigmentosa
BBS4 autosomal recessive Bardet-Biedl syndrome 1
BBS5 autosomal recessive Bardet-Biedl syndrome 1
BBS7 autosomal recessive Bardet-Biedl syndrome 1
BBS9 autosomal recessive Bardet-Biedl syndrome 1
BDNF
CARTPT
CCDC28B autosomal dominant
CELA2A
CEP19
CEP290 autosomal recessive Bardet-Biedl syndrome 1, Joubert syndrome 13, Leber congenital amaurosis 10, Meckel syndrome, type 9, Senior-Loken syndrome 5
CPE
CUL4B X-linked Intellectual developmental disorder, autosomal dominant 1, Intellectual developmental disorder, X-linked syndromic, Cabezas type
DYRK1B autosomal dominant Abdominal obesity-metabolic syndrome 3
ENPP1 autosomal recessive Arterial calcification, generalized, of infancy, 1, Proteinuria, low molecular weight, with hypercalciuric nephrocalcinosis
FTO MG OBESITY
GHR AD/AR Growth hormone insensitivity, partial
GHRL
GNAS autosomal dominant McCune-Albright syndrome, somatic, mosaic, Osseous heteroplasia, progressive, Pseudohypoparathyroidism, type IA
GNB3
HDAC4
HDAC8 X-linked Cornelia de Lange syndrome 2
INPP5E autosomal recessive
KIDINS220
KSR2
LAS1L X-linked
LEP autosomal recessive Leptin deficiency or dysfunction
LEPR autosomal recessive Leptin receptor deficiency
LZTFL1
MAGEL2 autosomal dominant Prader-Willi syndrome
MC3R AD/AR BODY MASS INDEX QUANTITATIVE TRAIT LOCUS 9; BMIQ9
MC4R MG OBESITY
MKKS autosomal recessive Bardet-Biedl syndrome 1, Mckusick-Kaufman syndrome
MKS1 autosomal recessive Bardet-Biedl syndrome 1, Meckel syndrome, type 9
MRAP2 MG
NR0B2 AD/AR OBESITY
NTRK2 autosomal dominant OBESITY, Obesity, hyperphagia, and developmental delay
PCSK1 autosomal dominant Proprotein convertase 1/3 deficiency
PHF6 X-linked Borjeson-Forssman-Lehmann syndrome
PHIP
POMC autosomal recessive Obesity, early-onset, with adrenal insufficiency and red hair
PPARG AD/DG (razem z PPP1R3A i PPARG) Lipodystrophy, familial partial, type 3, Lipodystrophy, familial partial, type 3
PYY AD/AR OBESITY
SDC3
SDCCAG8 autosomal recessive Bardet-Biedl syndrome 1, Senior-Loken syndrome 5
SH2B1
SIM1 AD/AR 6q16 deletion syndrome, Obesity due to SIM1 deficiency, Prader-Willi-like syndrome
SLC6A14
TRIM32 autosomal recessive Bardet-Biedl syndrome 1, Muscular dystrophy, limb-girdle, type 2G
TTC8 autosomal recessive Bardet-Biedl syndrome 1, Retinitis pigmentosa
TUB
UCP2 AD/AR Maturity-onset diabetes of the young, type 12
UCP3 AD/AR OBESITY
VPS13B autosomal recessive Cohen syndrome
WDPCP autosomal recessive Bardet-Biedl syndrome 1

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 Monogenic obesity 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 65 genes.

How much does the test cost?

The price of the test is 2194 PLN.

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