- Is a 41 gene panel that includes assessment of non-coding variants.
Is ideal for patients with a clinical suspicion of monogenic obesity
The Blueprint Genetics Monogenic Obesity Panel (test code KI1701):
Read about our accreditations, certifications and CE-marked IVD medical devices here.
Refer to the most current version of ICD-10-CM manual for a complete list of ICD-10 codes.
- Blood (min. 1ml) in an EDTA tube
- Extracted DNA, min. 2 μg in TE buffer or equivalent
- Saliva (Please see Sample Requirements for accepted saliva kits)
Label the sample tube with your patient’s name, date of birth and the date of sample collection.
We do not accept DNA samples isolated from formalin-fixed paraffin-embedded (FFPE) tissue. In addition, if the patient is affected with a hematological malignancy, DNA extracted from a non-hematological source (e.g. skin fibroblasts) is strongly recommended.
Please note that, in rare cases, mitochondrial genome (mtDNA) variants may not be detectable in blood or saliva in which case DNA extracted from post-mitotic tissue such as skeletal muscle may be a better option.
Read more about our sample requirements here.
Obesity is defined as abnormal or excessive fat accumulation that presents a risk to health, which occurs when abnormal amounts of triglycerides are stored in adipocytes and released as free fatty acids. In addition to dietary and lifestyle factors, epigenetic modifications play a role in excess fat accumulation. Obesity is correlated with an increased risk of type 2 diabetes, cardiovascular disease, cancer and mortality. The heritability of obesity and body weight in general is high. A small number of confirmed monogenic forms of obesity have been identified by molecular genetic studies. The identification of inborn deficiency of the mostly adipocyte-derived satiety hormone leptin in extremely obese children from consanguineous families paved the way to the first pharmacological therapy for obesity based on a molecular genetic finding. The Monogenic Obesity Panel includes syndromic conditions such as Bardet-Biedl syndrome, Cohen syndrome and Alström syndrome, where obesity is one feature in complex developmental disorders.
Genes in the Monogenic Obesity Panel and their clinical significance
|ADCY3||Developmental delay, intellectual disability, obesity, and dysmorphism||AR||6|
|ARL6||Bardet-Biedl syndrome, Retinitis pigmentosa||AR||14||21|
|BBS2||Bardet-Biedl syndrome, Retinitis pigmentosa||AR||58||91|
|CEP19||Morbid obesity and spermatogenic failure, Bardet-Biedl syndrome||AR||2||2|
|CEP290*||Bardet-Biedl syndrome, Leber congenital amaurosis, Joubert syndrome, Senior-Loken syndrome, Meckel syndrome||AR||130||289|
|CPE||Obesity, severe, and type II diabetes||AR||2|
|CUL4B||Mental retardation, syndromic, Cabezas||XL||23||38|
|DYRK1B||Abdominal obesity-metabolic syndrome||AD||2||2|
|GNAS||McCune-Albright syndrome, Progressive osseous heteroplasia, Pseudohypoparathyroidism, Albright hereditary osteodystrophy||AD||64||274|
|KSR2||Developmental delay, intellectual disability, obesity, and dysmorphism||AD||28|
|LEPR#||Leptin receptor deficiency||AR||4||30|
|MAGEL2||Schaaf-Yang syndrome (Prader-Willi-like syndrome)||AD||22||19|
|MC3R||Obesity due to MC3R deficiency||AD/AR||17|
|MC4R||Developmental delay, intellectual disability, obesity, and dysmorphism||AD||37||152|
|MKKS||Bardet-Biedl syndrome, McKusick-Kaufman syndrome||AR||21||59|
|MKS1||Bardet-Biedl syndrome, Meckel syndrome||AR||50||52|
|NR0B2||Obesity, mild, early-onset||AD/AR||2||15|
|NTRK2||Obesity, hyperphagia, and developmental delay||AD||4||5|
|PCSK1||Proprotein convertase 1/3 deficiency||AD/AR||5||37|
|PHIP||Developmental delay, intellectual disability, obesity, and dysmorphism||AD||20||28|
|PPARG||Insulin resistance, Lipodystrophy, familial, partial||AD/Digenic (Severe digenic insulin resistance can be due to digenic mutations in PPP1R3A and PPARG)||19||49|
|SDCCAG8||Bardet-Biedl syndrome, Senior-Loken syndrome||AR||14||18|
|SH2B1||Developmental delay, intellectual disability, obesity, and dysmorphism||AD||1||15|
|SIM1||6q16 deletion syndrome, Obesity due to SIM1 deficiency, Prader-Willi-like syndrome||AD/AR||2||44|
|TRIM32||Bardet-Biedl syndrome, Muscular dystrophy, limb-girdle||AR||13||16|
|TTC8||Bardet-Biedl syndrome, Retinitis pigmentosa||AR||5||16|
|TUB||Retinal dystrophy and obesity||AR||1||2|
|UCP3||Obesity, severe, and type II diabetes||AD/AR||2||6|
|WDPCP||Meckel-Gruber syndrome, modifier, Bardet-Biedl syndrome, Congenital heart defects, hamartomas of tongue, and polysyndactyly||AR||6||8|
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), and/or the gene has exons listed under Test limitations section that are not included in the panel as they are not sufficiently covered with high quality sequence reads.
The sensitivity to detect variants may be limited in genes marked with an asterisk (*) or number sign (#). Due to possible limitations these genes may not be available as single gene tests.
Gene refers to the HGNC approved gene symbol; Inheritance refers to inheritance patterns such as autosomal dominant (AD), autosomal recessive (AR), mitochondrial (mi), 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 Mitomap databases.
Non-coding variants covered by Monogenic Obesity Panel
|Gene||Genomic location HG19||HGVS||RefSeq||RS-number|
The genes on the panel have been carefully selected based on scientific literature, mutation databases and our experience.
Our panels are sectioned from our high-quality, clinical grade NGS assay. Please see our sequencing and detection performance table for details regarding our ability to detect different types of alterations (Table).
Assays have been validated for various sample types including EDTA-blood, isolated DNA (excluding from formalin fixed paraffin embedded tissue), saliva and dry blood spots (filter cards). These sample types were selected in order to maximize the likelihood for high-quality DNA yield. The diagnostic yield varies depending on the assay used, referring healthcare professional, hospital and country. Plus analysis increases the likelihood of finding a genetic diagnosis for your patient, as large deletions and duplications cannot be detected using sequence analysis alone. Blueprint Genetics’ Plus Analysis is a combination of both sequencing and deletion/duplication (copy number variant (CNV)) analysis.
The performance metrics listed below are from an initial validation performed at our main laboratory in Finland. The performance metrics of our laboratory in Seattle, WA, are equivalent.
Performance of Blueprint Genetics high-quality, clinical grade NGS sequencing assay for panels.
|Sensitivity % (TP/(TP+FN)||Specificity %|
|Single nucleotide variants||99.89% (99,153/99,266)||>99.9999%|
|Insertions, deletions and indels by sequence analysis|
|1-10 bps||99.2% (7,745/7,806)||>99.9999%|
|11-50 bps||99.13% (2,524/2,546)||>99.9999%|
|Copy number variants (exon level dels/dups)|
|1 exon level deletion (heterozygous)||100% (20/20)||NA|
|1 exon level deletion (homozygous)||100% (5/5)||NA|
|1 exon level deletion (het or homo)||100% (25/25)||NA|
|2-7 exon level deletion (het or homo)||100% (44/44)||NA|
|1-9 exon level duplication (het or homo)||75% (6/8)||NA|
|Simulated CNV detection|
|5 exons level deletion/duplication||98.7%||100.00%|
|Microdeletion/-duplication sdrs (large CNVs, n=37))|
|Size range (0.1-47 Mb)||100% (25/25)|
|The performance presented above reached by Blueprint Genetics high-quality, clinical grade NGS sequencing assay with the following coverage metrics|
|Mean sequencing depth||143X|
|Nucleotides with >20x sequencing coverage (%)||99.86%|
Performance of Blueprint Genetics Mitochondrial Sequencing Assay.
|Sensitivity %||Specificity %|
|ANALYTIC VALIDATION (NA samples; n=4)|
|Single nucleotide variants|
|Heteroplasmic (45-100%)||100.0% (50/50)||100.0%|
|Heteroplasmic (35-45%)||100.0% (87/87)||100.0%|
|Heteroplasmic (25-35%)||100.0% (73/73)||100.0%|
|Heteroplasmic (15-25%)||100.0% (77/77)||100.0%|
|Heteroplasmic (10-15%)||100.0% (74/74)||100.0%|
|Heteroplasmic (5-10%)||100.0% (3/3)||100.0%|
|Heteroplasmic (<5%)||50.0% (2/4)||100.0%|
|CLINICAL VALIDATION (n=76 samples)|
|Single nucleotide variants n=2026 SNVs|
|Heteroplasmic (45-100%)||100.0% (1940/1940)||100.0%|
|Heteroplasmic (35-45%)||100.0% (4/4)||100.0%|
|Heteroplasmic (25-35%)||100.0% (3/3)||100.0%|
|Heteroplasmic (15-25%)||100.0% (3/3)||100.0%|
|Heteroplasmic (10-15%)||100.0% (9/9)||100.0%|
|Heteroplasmic (5-10%)||92.3% (12/13)||99.98%|
|Heteroplasmic (<5%)||88.9% (48/54)||99.93%|
|Insertions and deletions by sequence analysis n=40 indels|
|Heteroplasmic (45-100%) 1-10bp||100.0% (32/32)||100.0%|
|Heteroplasmic (5-45%) 1-10bp||100.0% (3/3)||100.0%|
|Heteroplasmic (<5%) 1-10bp||100.0% (5/5)||99,997%|
|SIMULATION DATA /(mitomap mutations)|
|Insertions, and deletions 1-24 bps by sequence analysis; n=17|
|Homoplasmic (100%) 1-24bp||100.0% (17/17)||99.98%|
|Heteroplasmic (50%)||100.0% (17/17)||99.99%|
|Heteroplasmic (25%)||100.0% (17/17)||100.0%|
|Heteroplasmic (20%)||100.0% (17/17)||100.0%|
|Heteroplasmic (15%)||100.0% (17/17)||100.0%|
|Heteroplasmic (10%)||94.1% (16/17)||100.0%|
|Heteroplasmic (5%)||94.1% (16/17)||100.0%|
|Copy number variants (separate artifical mutations; n=1500)|
|Homoplasmic (100%) 500 bp, 1kb, 5 kb||100.0%||100.0%|
|Heteroplasmic (50%) 500 bp, 1kb, 5 kb||100.0%||100.0%|
|Heteroplasmic (30%) 500 bp, 1kb, 5 kb||100.0%||100.0%|
|Heteroplasmic (20%) 500 bp, 1kb, 5 kb||99.7%||100.0%|
|Heteroplasmic (10%) 500 bp, 1kb, 5 kb||99.0%||100.0%|
|The performance presented above reached by following coverage metrics at assay level (n=66)|
|Mean of medians||Median of medians|
|Mean sequencing depth MQ0 (clinical)||18224X||17366X|
|Nucleotides with >1000x MQ0 sequencing coverage (%) (clinical)||100%|
|rho zero cell line (=no mtDNA), mean sequencing depth||12X|
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 and regulatory 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. If the test includes the mitochondrial genome the target region gene list contains the mitochondrial genes. 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 including, 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, ordering providers have access to the details of the analysis, including patient specific sequencing metrics, a gene level coverage plot and a list of regions with suboptimal coverage (<20X for nuclear genes and <1000X for mtDNA) if applicable. This reflects our mission to build fully transparent diagnostics where ordering providers can easily visualize the 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 ACMG guideline 2015.
The final step in the analysis is orthogonal confirmation. Sequence and copy number variants classified as pathogenic, likely pathogenic and variants of uncertain significance (VUS) are confirmed using bi-directional Sanger sequencing or by orthogonal methods such as qPCR/ddPCR when they do not meet our stringent NGS quality metrics for a true positive call.
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, abstracts and variant databases used to help ordering providers 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. We do not recommend using variants of uncertain significance (VUS) for family member risk stratification or patient management. Genetic counseling is recommended.
Our interpretation team analyzes millions of variants from thousands of individuals with rare diseases. Our internal database and our understanding of variants and related phenotypes increases with every case analyzed. 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.