Lipodystrophy Panel
Summary and Pricing
Test Method
Exome Sequencing with CNV DetectionTest Code | Test Copy Genes | Panel CPT Code | Gene CPT Codes Copy CPT Code | Base Price | |
---|---|---|---|---|---|
12603 | Genes x (29) | 81479 | 81406(x3), 81408(x1), 81479(x54) | $990 | Order Options and Pricing |
Pricing Comments
We are happy to accommodate requests for testing single genes in this panel or a subset of these genes. The price will remain the list price. If desired, free reflex testing to remaining genes on panel is available. Alternatively, a single gene or subset of genes can also be ordered via our Custom Panel tool.
An additional 25% charge will be applied to STAT orders. STAT orders are prioritized throughout the testing process.
Click here for costs to reflex to whole PGxome (if original test is on PGxome Sequencing platform).
Click here for costs to reflex to whole PGnome (if original test is on PGnome Sequencing platform).
Turnaround Time
3 weeks on average for standard orders or 2 weeks on average for STAT orders.
Please note: Once the testing process begins, an Estimated Report Date (ERD) range will be displayed in the portal. This is the most accurate prediction of when your report will be complete and may differ from the average TAT published on our website. About 85% of our tests will be reported within or before the ERD range. We will notify you of significant delays or holds which will impact the ERD. Learn more about turnaround times here.
Targeted Testing
For ordering sequencing of targeted known variants, go to our Targeted Variants page.
Clinical Features and Genetics
Clinical Features
Lipodystrophies are a group of heterogeneous disorders characterized by loss of adipose (fat) tissue (Akinci et al. 2018. PubMed ID: 30406415). Lipodystrophy may be genetic or acquired. Broadly, the genetic lipodystrophies are classed as congenital generalized lipodystrophy (CGL), familial partial lipodystrophy (FPLD), or atypical and/or complex lipodystriophy, which may occur as a feature of progeroid syndromes (Akinci et al. 2018. PubMed ID: 30406415). Clinical features and severity vary depending of the type of lipodystrophy and the underlying genetic cause.
CGL is characterized by a near complete loss of adipose tissue at or soon-after birth and is typically accompanied by severe metabolic dysregulation (Patni and Garg. 2015. PubMed ID: 26239609; Akinci et al. 2018. PubMed ID: 30406415). Clinical features associated with CGL may include generalized lipodytrophy, a muscular appearance, prominent veins, accelerated growth, voracious appetite, umbilical hernias, hepatomegaly, splenomegaly, acanthosis nigricans, advanced bone age, and metabolic complications (insulin resistance, hypertriglyceridaemia, hepatic steatosis) (Patni and Garg. 2015. PubMed ID: 26239609; Akinci et al. 2018. PubMed ID: 30406415). The exact prevalence of CGL is unknown, but is estimated to be approximately 0.2 to 1 cases per million individuals (Chiquette et al. 2017. PubMed ID: 29066925).
FPLD is typically characterized by selective loss of adipose tissue, predominantly in the upper extremities, lower extremities, as well as the gluteal and pelvic regions (Ajluni et al. 2017. PubMed ID: 28199729; Lightbourne and Brown. 2017. PubMed ID: 28476236). The exact patterning and regional loss of adipose tissue is highly variable. Adipose tissue sparing and even accumulation may also be observed in the neck, trunk and abdomen of some affected individuals (Ajluni et al. 2017. PubMed ID: 28199729). Clinical features may also include non-alcoholic steatohepatitis, hypertriglyceridemia, insulin-resistant diabetes mellitus, proteinuria, microalbuminuria, hypertension, peripheral neuropathy, muscular dystrophy, myalgia, gallbladder disease, pancreatitis, as well as cardiovascular disease (Ajluni et al. 2017. PubMed ID: 28199729). Onset typically occurs anytime from late childhood through to adulthood. The exact prevalence of FPLD is unknown, but is estimated at approximately 3 cases per million individuals (Chiquette et al. 2017. PubMed ID: 29066925).
Atypical and/or complex lipodystropy may present with progeroid syndromes, cutis laxis, Keppen-Lubinsky syndrome, Ruijs-Aalfs syndrome, SHORT syndrome and CANDLE syndrome (Akinci et al. 2018. PubMed ID: 30406415). Clinical features for these syndromes may include a marfanoid or progeroid appearance, dermatological features, retinal features, and skeletal, cardiovascular and/or neurologic anomalies. Onset may occur at birth, soon-after birth, during childhood, or adolescence.
Medical management for lipodystrophy may include surveillance, psychological support, restriction of total fat intake, caloric restriction, increased physical activity, therapy for diabetes mellitus and hyperlipidemia, and possibly cosmetic surgery (Akinci et al. 2018. PubMed ID: 30370487). Genetic testing may aide in establishing a differential diagnosis, predicting the course of disease, and may assist reproductive planning.
Pathogenic variants in one or more of these genes included as part of this panel are reported to be associated with additional phenotypes including (but not limited to) progeroid syndromes, insulin resistance, severe obesity, skeletal dysplasia, neuropathy, muscular dystrophy, dermopathy, colorectal cancer, epilepsy susceptibility, and pulmonary hypertension.
Genetics
CGL is primarily inherited in an autosomal recessive manner (AGPAT2, BSCL2, CAV1, CAVIN1), however dominant inheritance is reported for atypical causes of CGL (FBN1, KCNJ6, LMNA, PPARG). FPLD may be inherited in an autosomal dominant (ADRA2A, AKT2, CAV1, LMNA, LMNB2, PLIN1, POLD1, PPARG, PSMA3, TBC1D4) or recessive manner (CIDEC, LIPE, PSMB4, PSMB8, PSMB9, ZMPSTE24). Atypical and/or complex lipodystropies are predominantly inherited in an autosomal recessive manner (BANF1, IGF1R, MFN2, PCYT1A, PIK3R1, SPRTN, WRN), although dominant inheritance is reported for the IGF1R, MFN2, and PSMA3 genes. Pathogenic variants may be inherited from a carrier parent, an affected parent, or arise de novo (Brehm et al. 2015. PubMed ID: 26524591; Lightbourne and Brown. 2017. PubMed ID: 28476236). The lipodystrophies are associated with small deletions, nonsense, splice site, frameshift, missense, and regulatory pathogenic variants. Structural variants, predominantly in the form of gross deletions, have been reported in isolated and familial cases of CGL (Agarwal et al. 2002. PubMed ID: 11967537; Purizaca-Rosillo et al. 2017. PubMed ID: 27868354). Structural variants, predominantly in the form of gross deletions, have also been reported in isolated cases of adult progeria Werner syndrome (Friedrich et al. 2010. PubMed ID: 20443122).
Although the function of some of the genes included in this panel are yet to be fully elucidated, several are known to be involved in phospholipid and triglyceride synthesis, the fusion of lipid droplets, adipogenesis, lipolysis, and biogenesis of caveolae (Holm et al. 1988. PubMed ID: 3420405; Peng et al. 2003. PubMed ID: 12782654; Evans et al. 2004. PubMed ID: 15057233; Capanni et al. 2005. PubMed ID: 15843404; Puri et al. 2007. PubMed ID: 17884815; Bosch et al. 2011. PubMed ID: 21497090; Patni and Garg. 2015. PubMed ID: 26239609).
See individual gene summaries for more information about molecular biology of gene products and spectra of pathogenic variants.
Clinical Sensitivity - Sequencing with CNV PGxome
Due to the genetic heterogeneity underlying the lipodystropies, the clinical sensitivity of this specific grouping of genes is difficult to estimate. However, it has been reported that up to 80% of individuals with CGL have an identifiable genetic cause (Akinci et al. 2018. PubMed ID: 30406415). Pathogenic variants in the LMNA and PPARG genes are estimated to account for more than 50% of all cases of FPLD (Jeru et al. 2017. PubMed ID: 27485410). Outside of these two genes, pathogenic variants explain only a small subset of FPLD cases. Presently, clinical sensitivity estimates for atypical and/or complex cases of lipodystrophy are unknown.
Testing Strategy
This test is performed using Next-Gen sequencing with additional Sanger sequencing as necessary.
This panel typically provides 99.6% coverage of all coding exons of the genes plus 10 bases of flanking noncoding DNA in all available transcripts along with other non-coding regions in which pathogenic variants have been identified at PreventionGenetics or reported elsewhere. We define coverage as ≥20X NGS reads or Sanger sequencing. PGnome panels typically provide slightly increased coverage over the PGxome equivalent. PGnome sequencing panels have the added benefit of additional analysis and reporting of deep intronic regions (where applicable).
Dependent on the sequencing backbone selected for this testing, discounted reflex testing to any other similar backbone-based test is available (i.e., PGxome panel to whole PGxome; PGnome panel to whole PGnome).
Indications for Test
Candidates for this test are patients with lipodystrophy, particularly cases with an atypical or complex etiology.
Candidates for this test are patients with lipodystrophy, particularly cases with an atypical or complex etiology.
Genes
Official Gene Symbol | OMIM ID |
---|---|
ADRA2A | 104210 |
AGPAT2 | 603100 |
AKT2 | 164731 |
ATP6V0A2 | 611716 |
BANF1 | 603811 |
BSCL2 | 606158 |
CAV1 | 601047 |
CAVIN1 | 603198 |
CIDEC | 612120 |
FBN1 | 134797 |
IGF1R | 147370 |
KCNJ6 | 600877 |
LIPE | 151750 |
LMNA | 150330 |
LMNB2 | 150341 |
MFN2 | 608507 |
PCYT1A | 123695 |
PIK3R1 | 171833 |
PLIN1 | 170290 |
POLD1 | 174761 |
PPARG | 601487 |
PSMA3 | 176843 |
PSMB4 | 602177 |
PSMB8 | 177046 |
PSMB9 | 177045 |
SPRTN | 616086 |
TBC1D4 | 612465 |
WRN | 604611 |
ZMPSTE24 | 606480 |
Inheritance | Abbreviation |
---|---|
Autosomal Dominant | AD |
Autosomal Recessive | AR |
X-Linked | XL |
Mitochondrial | MT |
Diseases
Related Tests
Name |
---|
PGxome® |
CANDLE Syndrome via the PSMB8 Gene |
Congenital Generalized Lipodystrophy (CGL) Panel |
Lipodystrophy and Heritable Pulmonary Arterial Hypertension via the CAV1 Gene |
Citations
- Agarwal et al. 2002. PubMed ID: 11967537
- Ajluni et al. 2017. PubMed ID: 28199729
- Akinci et al. 2018. PubMed ID: 30406415
- Akinci et al. 2018. PubMed ID: 30370487
- Bosch et al. 2011. PubMed ID: 21497090
- Brehm et al. 2015. PubMed ID: 26524591
- Capanni et al. 2005. PubMed ID: 15843404
- Chiquette et al. 2017. PubMed ID: 29066925
- Evans et al. 2004. PubMed ID: 15057233
- Friedrich et al. 2010. PubMed ID: 20443122
- Holm et al. 1988. PubMed ID: 3420405
- Jéru et al. 2017. PubMed ID: 27485410
- Lightbourne and Brown. 2017. PubMed ID: 28476236
- Patni and Garg. 2015. PubMed ID: 26239609
- Peng et al. 2003. PubMed ID: 12782654
- Puri et al. 2007. PubMed ID: 17884815
- Purizaca-Rosillo et al. 2017. PubMed ID: 27868354
Ordering/Specimens
Ordering Options
We offer several options when ordering sequencing tests. For more information on these options, see our Ordering Instructions page. To view available options, click on the Order Options button within the test description.
myPrevent - Online Ordering
- The test can be added to your online orders in the Summary and Pricing section.
- Once the test has been added log in to myPrevent to fill out an online requisition form.
- PGnome sequencing panels can be ordered via the myPrevent portal only at this time.
Requisition Form
- A completed requisition form must accompany all specimens.
- Billing information along with specimen and shipping instructions are within the requisition form.
- All testing must be ordered by a qualified healthcare provider.
For Requisition Forms, visit our Forms page
If ordering a Duo or Trio test, the proband and all comparator samples are required to initiate testing. If we do not receive all required samples for the test ordered within 21 days, we will convert the order to the most effective testing strategy with the samples available. Prior authorization and/or billing in place may be impacted by a change in test code.
Specimen Types
Specimen Requirements and Shipping Details
PGxome (Exome) Sequencing Panel
PGnome (Genome) Sequencing Panel
ORDER OPTIONS
View Ordering Instructions1) Select Test Type
2) Select Additional Test Options
No Additional Test Options are available for this test.