PGnome® - Whole Genome Sequencing
|Name||Test Code||Description||CPT Code(s)||Price|
|Family - Trio||8001||WGS of patient + 2 additional family members||81425, 81426(x2)||$4,990|
If report is needed for any additional family members, add $490 per family member.
|Patient Plus||7001||WGS of patient + targeted variant testing of parents (both parents required)||81425||$2,590|
|Family - Duo||8000||WGS of patient + 1 additional family member||81425, 81426||$3,890|
If report is needed for any additional family members, add $490 per family member.
|Patient Only||7000||WGS of patient||81425||$2,490|
Sequencing cost to additional family members beyond trio: $1,390 (no report); additional CPT Code 81426.
If report is needed for any additional family members, add $490 per family member.
PGnome Sequencing Panel Reflex to PGnome
|Number of Genes Ordered||Pricing|
|1 - 50||$990||$1,090||$2,390||$3,490|
|51 - 100||$890||$990||$2,290||$3,390|
|101 - 200||$640||$740||$2,040||$3,140|
What is PGnome?
PGnome is PreventionGenetics' whole genome sequencing (WGS) test. PGnome is the ultimate germline DNA test because it covers the entire genome. Although initially the primary application of WGS will be diagnosis, there are other, very powerful applications as shown in the following list.
Primary Applications of WGS
- Assessment of Disease Risk and Prevention
- Reproductive Planning
The clinical utility of genome and exome sequencing for diagnosis of disease is now abundantly clear (see for example Lunke et al. 2020. PubMed ID: 32573669; Clark et al. 2019. PubMed ID: 31019026; Elliott et al. 2019. PubMed ID: 31172278; Mestek-Boukhibar et al. 2018. PubMed ID: 30049826; Meng et al. 2017. PubMed ID: 28973083; Stark et al. 2017. PubMed ID: 28125081). Genome/exome sequencing is superior to sequencing of single genes or smaller gene panels because of genetic heterogeneity, the continuing discovery of new disease genes, dual diagnoses (which are surprisingly common; see for example Karaca et al. 2018. PubMed ID: 29790871), and the general difficulty of identifying the correct genes using clinical features alone. Genome/exome sequencing also often reduces the time to diagnosis, limiting the diagnostic odyssey and lowering the cost to patients.
Genome sequencing is superior to exome sequencing because it covers portions of the genome like deep intronic regions that are not covered by exome sequencing and because it yields better detection of Structural Variants (defined as Copy Number Variants (CNVs) plus insertions, inversions, and translocations). In addition, genome sequencing provides more accurate analysis of tandem repeats and paralogous regions, and is essential for application of polygenic risk algorithms. Many of the variants used by polygenic risk algorithms are not located in coding regions and are therefore missed entirely by exome sequencing. A patient receiving exome sequencing today will likely have to pay again in future for genome sequencing.
The diagnostic yield of WGS varies considerably depending upon the disorder(s) and the groups of patients involved. Yields as high as 60-70% have been reported (Elliott et al. 2019. PubMed ID: 31172278; Stark et al. 2017. PubMed ID: 28125081). However, based on our own experience and other reports from the literature, yields in the range of 30% seem overall more realistic (Farnaes et al. 2018. PubMed ID: 29644095; Lionel et al. 2018. PubMed ID: 28771251; Vissers et al. 2017. PubMed ID: 28333917). Further, based on reports from the literature as well as our own internal data, trio testing (a proband along with both parents) provides higher diagnostic yields than testing just the proband (Farwell et al. 2015. PubMed ID: 25356970). Trio testing is the gold standard as it permits the identification of de novo variants as well as the phase of two different variants in recessive genes immediately upon data review.
PGnome - Diagnostic is ideal for individuals with:
- Disorders with significant genetic heterogeneity
- Global developmental delay/intellectual disability, with or without dysmorphic features
- Dysmorphic features, multiple congenital anomalies, or birth defects
To order PGnome - Diagnostic:
TURN AROUND TIME (TAT)
PGnome Diagnostic has a TAT of 28 calendar days on average.
Inclusion of detailed clinical notes/completion of the clinical data checklist and a pedigree are required. The ability to select variants that may be involved with the patient’s health problem directly correlates with the quality of clinical information provided.
ORDERING / SPECIMENS
Our PGnome Diagnostic offers the traditional options of Patient Only testing or Family testing (e.g., Duo, Trio, etc.), but also offers our Patient Plus testing option. For Patient Plus, we require sending in both biological parents along with the patient's specimen. However, genome sequencing is performed only on the patient's specimen, and depending on variants identified and to be reported in the proband, parental specimens are then used for targeted testing to determine the phase of variants or to determine if a variant occurs de novo. Parents are tested for all sequencing variants included in the proband's report, except for CNVs. For the highest diagnostic rate, Family - Trio testing is recommended.
Note that saliva and buccal specimens are not accepted for WGS. DNA from saliva invariably includes microbial and food DNA which interfere with WGS.
PGnome uses Illumina short-read next generation sequencing (NGS) technologies. As required, genomic DNA is extracted from patient specimens. Patient DNA is sheared, adaptors are ligated to the fragment ends, and the fragments are sequenced on the NovaSeq 6000 using 2x150 bp paired-end reads. The following quality control metrics are generally achieved for the nuclear genome: >98% of targeted bases are covered at >15x, >96% of targeted bases are covered at >20x. The minimum acceptable average read depth is 35x. Data analysis and interpretation is performed by the internally developed Infinity pipeline. Variant calls are made by the GATK Haplotype caller and annotated using in house software and Jannovar. All reported variants are confirmed by a second method (usually Sanger sequencing).
For the mitochondrial genome screen, the following quality control metrics are generally achieved: an average read depth of >3,000x and a minimum acceptable read depth of 500x. Variant calls for the mitochondrial genome are made using the Mutserve pipeline and annotated using Alamut batch.
Structural variants (SVs) are also detected from NGS data. The three SV calling algorithms that we employ (Lumpy, CNVnator, and Manta) utilize read depth, SNP information, split reads, and reads which map to two different sites in the genome to detect deletions, duplications, insertions and inversions. Our overall sensitivity for deletions, duplications, and inversions is 96%. Sensitivity for detection of insertions (as opposed to duplications) is currently low (~20%). At this time, we are not reporting translocations. Our ability to detect SVs due to somatic mosaicism is limited. At this time, we are also not reporting structural variants within the mitochondrial genome.
Human Genome Variation Society (HGVS) recommendations are used to describe sequence variants (http://www.hgvs.org). All differences from the reference sequences are assigned to one of five interpretation categories (Pathogenic, Likely Pathogenic, Variant of Uncertain Significance, Likely Benign and Benign) per ACMG Guidelines (Richards et al. 2015. PubMed ID: 25741868).
Reports will consist of up to six different sections:
Primary Findings (related to the indication for testing)
- Variants in genes known to be associated with phenotype
- Variants in genes possibly associated with phenotype
Secondary Findings (if opted in on the requisition form)
- Guideline Recommended Genes: Recent recommendations are that labs performing WES or WGS should report pathogenic variants in selected genes that cause (mostly) dominantly inherited disorders (v3.0; Miller et al. 2021. PubMed ID: 34012068). These disorders are treatable and/or preventable. Included on this list are some cancer predisposition conditions, heart conditions associated with sudden death, and conditions that could result in severe health consequences if surgery is performed with certain anesthetics. Only pathogenic and likely pathogenic variants are reported.
- Other Predispositions/Diagnoses: This secondary finding option refers to a very broad range of disorders beyond the Recommended Genes above. Examples include adult onset neurological conditions such as Alzheimer's disease, Parkinson disease, amyotrophic lateral sclerosis (ALS), small vessel disease, and renal disease, among others. Some of these disorders are very serious, leading to death. Treatment or prevention will be effective for some of these disorders but not for others. Knowledge of these predispositions may be useful for the patients and their families. (Amendola et al. 2015. Genome Res 25(3):305- 315; Dorschner et al. 2013. Am J Hum Genet 93(4):631-640). If this option is selected, we will report all variants that are likely to result in a Mendelian (single gene) disorder (i.e., one variant in a dominant gene or X-linked gene or two variants in a recessive gene). Many of these conditions have adult onset, and in accordance with current professional guidelines (Borry et al. 2006 Clin Genet 70(5):374-81; Lucassen et al. 2010 British Society for Human Genetics; Fallat et al. 2013 Pediatrics 131(3): 620–2; NSGC Position Statement 2017), we do not recommend release of information about adult-onset conditions to minors (under the age of 18 years). For minors, we recommend that this testing be postponed until the age of 18 years or that access to this portion of their healthcare records be blocked until they reach 18 years. Only pathogenic and likely pathogenic variants are reported. Variants in the mitochondrial genome will not be reported in this category.
- Carrier Status: Variants in any gene that relate to an autosomal recessive or X-linked recessive disorder in females will be reported if this option is selected (regardless of the incidence of the condition). Such single recessive, pathogenic variants usually don’t appreciably affect a patient’s health, but may be useful in reproductive planning. In accordance with current professional guidelines (Borry et al. 2006. Eur J Hum Genet 14(2):133-8; NSGC Position Statement 2012; Ross et al. 2013 Genet Med 15(3):234-245), we do not recommend release of carrier information to minors (under the age of 18 years). For minors, we recommend that carrier testing be postponed until the age of 18 years or that access to this portion of their healthcare records be blocked until they reach 18 years. Only pathogenic and likely pathogenic variants are reported. Variants in the mitochondrial genome will not be reported in this category.
- PG Discovery (Candidate Genes, Available for Trios Only): WES provides the opportunity to identify rare variants in candidate genes for which there is limited available evidence. Relevant rare homozygous, hemizygous, compound heterozygous, and/or de novo variants are reported. These genes and variants reported within them will be classified as uncertain significance, and the variants will not be confirmed by a second method (usually Sanger sequencing). Any literature, such as limited animal studies, etc., is referenced where available. Further research is required to understand if any human disease association exists. PreventionGenetics may reach out to request consent for submission of these variants to research programs and databases like GeneMatcher (https://genematcher.org/). Only uncertain variants are reported.
Benign and likely benign variants are not reported.
Raw sequence data will be provided to the ordering physician upon request.
Nomenclature for sequence variants comes from Human Genome Variation Society (HGVS) (http://www.hgvs.org).
LIMITATIONS AND OTHER TEST NOTES
Interpretation of the test results is limited by the information that is currently available. Better interpretation will be possible in the future as more data and knowledge about human genetics and this specific disorder are accumulated.
Sequencing: This test will not cover 100% of the genome. Parts of the genome cannot be readily sequenced with current technology such as some tandem repeats, paralogous genes and other repeat sequences. Therefore, a small fraction of sequence variants relevant to the patient's health will not be detected.
Our detailed variant analysis and interpretation is focused on the coding exons and immediate flanking non-coding DNA (± 10 bp). Although the millions of variants detected in other parts of the genome are used to assist with SV detection and other applications, we do not at this time attempt to interpret every variant outside of coding and immediate flanking regions. When warranted by sequence results (for example a single pathogenic variant in a recessive gene), we examine all rare variants within selected genic regions.
In many cases, we are unable to determine the phase of sequence variants. In particular, when we find two likely causative variants for recessive disorders, we cannot be certain that the variants are on different alleles.
Our ability to detect minor sequence variants due to somatic mosaicism is limited.
Runs of mononucleotide repeats (eg (A)n or (T)n) with n >8 in the reference sequence are generally not analyzed because of strand slippage during amplification.
Unless otherwise indicated, DNA sequence data is obtained from a specific cell-type (usually leukocytes if taken from whole blood). Test reports contain no information about the DNA sequence in other cell-types.
We cannot be certain that the reference sequences are correct. Genome build hg19, GRCh37 (Feb2009) is used as our reference in nearly all cases.
Structural Variants (SVs): Calling of SVs from short read sequence data is challenging and a very active area of research and development. Improvements will come relatively quickly. However, at this time, we are limiting our SV detection to to deletions, duplications, insertions, and inversions. Some SVs will not be detected due to paralogy (e.g., pseudogenes, segmental duplications), sequence properties, and size. Sensitivity for detection of insertions (as opposed to duplications) is currently low (~20%). At this time, we are not reporting translocations. Our ability to detect SVs due to somatic mosaicism is limited.
Mitochondrial variants: For the mitochondrial genome, the revised Cambridge Reference Sequence (rCRS) is our reference. All reported variants are confirmed using a combination of long-range PCR and next generation sequencing. We analyze nearly the entire genome, although certain regions (<200 bp) are excluded from analysis largely due to the presence of tandem repeats in non-coding regions. This test is currently not validated to detect large deletions, duplications, or complex rearrangements of the mitochondrial genome, and our sensitivity for smaller insertion/deletion events is also limited. Although sensitivity for detection of low-level (4-30%) heteroplasmic single nucleotide variants is expected to be high based on validation studies, we cannot guarantee that these low-level heteroplasmic variants will always be identified due to paralogy with the nuclear genome.
General: We have confidence in our ability to track a specimen once it has been received by PreventionGenetics. However, we take no responsibility for any specimen labeling errors that occur before the specimen arrives at PreventionGenetics.
A negative finding does not rule out a genetic diagnosis.
Genetic counseling to help to explain test results to the patients and to discuss reproductive options is recommended.
Genetic Counselors: GC Team - firstname.lastname@example.org
Geneticist: Diane Allingham-Hawkins, PhD, FCCMG, FACMG - email@example.com
Clark et al. 2019. PubMed ID: 31019026
Elliott et al. 2019. PubMed ID: 31172278
Farnaes et al. 2018. PubMed ID: 29644095
Kalia et al. 2016. PubMed ID: 27854360
Karaca et al. 2018. PubMed ID: 29790871
Lionel et al. 2018. PubMed ID: 28771251
Lunke et al. 2020. PubMed ID: 32573669
Meng et al. 2017. PubMed ID: 28973083
Mestek-Boukhibar et al. 2018. PubMed ID: 30049826
Miller et al. 2021. PubMed ID: 34012068
Richards et al. 2015. PubMed ID: 25741868
Stark et al. 2017. PubMed ID: 28125081
Vissers et al. 2017. PubMed ID: 28333917