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Hereditary Breast and Ovarian Cancer - Expanded and Lynch Syndrome Sequencing Panel with CNV Detection

  • Summary and Pricing
  • Clinical Features and Genetics
  • Citations
  • Methods
  • Ordering/Specimens
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TEST METHODS

Sequencing and CNV

Test Code Test Copy GenesCPT Code Copy CPT Codes
5455 ATM 81408,81479 Add to Order
BARD1 81479,81479
BRCA1 and BRCA2 81162
BRIP1 81479,81479
CDH1 81406,81479
CHEK2 81479,81479
DICER1 81479,81479
EPCAM 81479,81403
FANCC 81479,81479
MLH1 81292,81294
MRE11 81479,81479
MSH2 81295,81297
MSH6 81298,81300
MUTYH 81406,81479
NBN 81479,81479
NF1 81408,81479
PALB2 81406,81479
PMS2 81317,81319
PTEN 81321,81323
RAD50 81479,81479
RAD51C 81479,81479
RAD51D 81479,81479
SMARCA4 81479,81479
STK11 81405,81404
TP53 81405,81479
XRCC2 81479,81479
Full Panel Price* $540
Test Code Test Copy Genes Total Price CPT Codes Copy CPT Codes
5455 Genes x (27) $540 81162, 81292, 81294, 81295, 81297, 81298, 81300, 81317, 81319, 81321, 81323, 81403, 81404, 81405(x2), 81406(x3), 81408(x2), 81479(x31) Add to Order

New York State Approved Test

Pricing Comments

CPT codes 81432 and 81433 can be used if the entire panel is analyzed.

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.

This test is also offered via our exome backbone with CNV detection (click here). The exome-based test may be higher priced, but permits reflex to the entire exome or to any other set of clinically relevant genes.

Targeted Testing

For ordering sequencing of targeted known variants, please proceed to our Targeted Variants landing page.

Turnaround Time

The great majority of tests are completed within 20 days.

Clinical Sensitivity

Current estimates are that less than 1% of the general population has a pathogenic variant in the BRCA1 or BRCA2 genes, and 10-15% of women diagnosed with breast cancer have a pathogenic variant in one of these genes (Tan et al. 2008. PubMed ID: 18682420; Turnbull et al. 2008. PubMed ID: 18544032). In the German population, CHEK2 pathogenic variants are found in around 4% of all cases of hereditary breast cancer. The prevalence of PALB2 pathogenic variants in the populations of both Germany and England is approximately 1% (Meindl et al. 2011. PubMed ID: 21637635). Approximately 6% of patients with hereditary ovarian cancers who do not have pathogenic variants in BRCA1 or BRCA2 have pathogenic variants in genes such BRIP1, CHEK2, NBN, PALB2, RAD51C, RAD51D and TP53 (Walsh et al. 2007. PubMed ID: 17292821; Loveday et al. 2011. PubMed ID: 21822267). Highly penetrant variants in other genes such as STK11, CDH1 and PTEN account for approximately 1% of all breast cancer cases that aggregate in families. Approximately 1.5% of XRCC2 and ~0.4% MRE11 and FANCC pathogenic variants occur in breast cancer cases (Park et al. 2012. PubMed ID: 22464251; Hirasawa et al. 2017. PubMed ID: 29348823). Another 5% of familial breast cancer cases might be explained by variants in genes such as ATM, CHEK2, NBN, RAD50, RAD51B and RAD51D (Klonowska et al. 2015. PubMed ID: 25994375).

Germline pathogenic variants in the Lynch syndrome genes have also been shown to be associated with ovarian cancer (Watson et al. 2008. PubMed ID: 18398828).

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Clinical Features

Hereditary breast and ovarian cancer (HBOC) cases tend to arise prior to age 50, tumors often occur bilaterally, consist of multiple affected family members (including males with breast cancer), and occur with a high predisposition in specific ethnic groups. Individuals with Ashkenazi Jewish ancestry have an increased risk for HBOC. There are three specific founder genetic variants that are known to be common in this population: c.68_69delAG (BRCA1), c.5266dupC (BRCA1), and c.5946delT (BRCA2) (Petrucelli et al. 2013. PubMed ID: 20301425). It is estimated that approximately 1:40 individuals with Ashkenazi Jewish ancestry has at least one of these variant, approximately 1:10 women with breast cancer and 1:3 women with ovarian cancer (cancer.net).

Lynch Syndrome, the most prevalent colorectal cancer syndrome, is caused by pathogenic variants in mismatch repair (MMR) genes, mainly the MSH2 gene. MMR proteins are involved in numerous cellular functions including repairing DNA synthesis errors, repairing double stranded breaks, and apoptosis. Lynch syndrome is generally early onset, and is characterized by predominantly right-sided colon cancer (Jang et al. 2010. PubMed ID: 20559516). Lynch syndrome is estimated to account for approximately 3-5% of colorectal cancer (Jang et al. 2010. PubMed ID: 20559516; Bonadona et al. 2015. PubMed ID: 21642682). Based on the Amsterdam criteria, families with Lynch syndrome have at least 3 relatives with colorectal cancer, one being a first degree relative, at least 2 successive generations involved, and at least 1 relative with onset of cancer before age 50 (Kohlman and Gruber. 2018. PubMed ID: 20301390; cancer.org).

Genetics

Hereditary breast and ovarian cancer (HBOC) syndrome is a disorder that follows an autosomal dominant pattern of inheritance. It is associated with tumors mainly in the breast and ovaries, and is primarily a result of alterations in high-penetrance genes BRCA1, BRCA2, and TP53 (Seal et al. 2006. PubMed ID: 17033622).

The BRCA1 tumor suppressor gene is associated with hereditary breast and ovarian cancer. Its protein product is essential for processes such as DNA repair, cell cycle checkpoint control, and maintenance of genomic stability (Wang et al. 2009. PubMed ID: 19261749). Women carrying a pathogenic variant in BRCA1 have a 46-65% risk of developing breast cancer, and approximately a 39% risk of developing ovarian cancer by age 70 (Berlinear et al. 2013. PubMed ID: 23188549). Men who have pathogenic variants in the BRCA1 gene have a life time risk of 7-8% of developing breast cancer compared to the average man whose risk is approximately 0.1% (Berlinear et al. 2013. PubMed ID: 23188549).

BRCA2 is a tumor suppressor gene, and along with RAD51 has a major role in DNA damage repair and genome stability (Tan et al. 2008. PubMed ID: 18682420). Women with a pathogenic variant in BRCA2 gene are at a 43-45% risk of developing breast cancer by age 70, and 11% risk of developing ovarian cancer (Berlinear et al. 2013. PubMed ID: 23188549).

Hereditary breast and/or ovarian cancers can sometimes be associated with other hereditary cancer syndromes including Li-Fraumeni, Cowden, Peutz-Jeghers, Hereditary Diffuse Gastric Cancer, and Lynch syndrome (Berlinear et al. 2013. PubMed ID: 23188549). Variants in TP53 have been implicated as the cause of Li-Fraumeni syndrome. Breast cancer appears as a feature of this syndrome, and carriers of TP53 pathogenic variants are at high risk of developing early onset breast cancer (Antoniou et al. 2006. PubMed ID: 16998504).

Individuals with Cowden syndrome caused by pathogenic variants in PTEN have a lifetime risk of 50% for breast cancer and 5-10% for endometrial cancer (Hearle et al. 2006. PubMed ID: 16707622).

Peutz-Jeghers syndrome, caused by pathogenic variants in STK11, can reach a breast cancer incidence of 32% by 60 years of age (Lim et al. 2004. PubMed ID: 15188174).

Other genes that are thought to confer low to moderate risk of breast and ovarian cancer have been identified. Pathogenic variants in CDH1 have been shown to be associated with the development of invasive lobular carcinoma. It is also thought to be a gene that causes intermediate risk of hereditary breast cancer (Masciari et al. 2007. PubMed ID: 17660459). CHEK2 truncating variants have been shown to confer moderate risk of breast cancer development (Meijers-Heijboer et al. 2002. PubMed ID: 11967536; Tan et al. 2008. PubMed ID: 18682420). Variants in ATM that cause ataxia telangiectasia in biallelic carriers confer a two-fold increased risk of breast cancer in monoallelic carriers (Tan et al. 2008. PubMed ID: 18682420). Inactivating truncating BRIP1 variants cause Fanconi anemia in biallelic carriers and confer susceptibility to breast cancer in monoallelic carriers (Seal et al. 2006. PubMed ID: 17033622). Ovarian tumors from carriers of BRIP1 pathogenic variants show loss of the wild type allele, suggesting its tumor suppressor capabilities. Frameshift variants in BRIP1 also lead to an increased risk of invasive ovarian cancer (Rafnar et al. 2011. PubMed ID: 21964575). PALB2 is also considered a gene with moderate risk alleles and can cause a 2 to 4 fold increased risk of breast cancer (Caminsky et al. 2016. PubMed ID: 26898890).

RAD51C, essential for homologous recombination repair, has been reported to be a hereditary breast and ovarian cancer susceptibility gene in that several pathogenic variants have been identified in BRCA1/2-negative HBOC families (Clague et al. 2011. PubMed ID: 21980511). RAD51C variants are found in 1-5% of individuals with a family history of breast and ovarian cancer (Meindl et al. 2011. PubMed ID: 21637635). The relative risk of ovarian and breast cancer for RAD51D pathogenic variant carriers was estimated to be 6.3 and 1.3, respectively (Loveday et al. 2011. PubMed ID: 21822267).

It has been suggested that large multi-exon deletions and insertions in BARD1 may substantially contribute to familial breast and ovarian cancer risk (Klonowska et al. 2015. PubMed ID: 25994375). NBN pathogenic variants are associated with a 2-fold increased risk of breast cancer (Walsh et al. 2007. PubMed ID: 17292821). Pathogenic variants in the MUTYH gene have been associated with hereditary breast cancer. In a study of 278 early-onset breast cancer patients, 2.2% of the patients had heterozygous variants in MUTYH, and 1 patient with a personal history of early onset colon cancer and two primary breast cancers was compound heterozygote for a known pathogenic variant and a likely pathogenic variant in MUTYH (Maxwel et al. 2014. PubMed ID: 25503501). Other genes that are thought to confer an increased risk of HBOC and Lynch syndrome include DICER1 (Jalkh et al. 2017. PubMed ID: 28202063), FANCC (Liu et al. 2017. PubMed ID: 28135048; Hirasawa et al. 2017. PubMed ID: 29348823), MRE11, RAD50 (van der Merwe et al. 2017. PubMed ID: 28241424; Sung et al. 2017. PubMed ID: 28961279), SMARCA4 (Witkowski et al. 2014. PubMed ID: 24658002; Hayano et al. 2016. PubMed ID: 27701467) and XRCC2 (Park et al. 2012. PubMed ID: 22464251).

Lynch syndrome is an autosomal dominant cancer susceptibility disease that is mainly caused by variants in MMR genes: MLH1, MSH2, MSH6, and PMS2. Approximately 90% of causative variants are in MLH1, and MLH2, and approximately 10% in MSH6 and PMS2. Germline deletions in EPCAM, which is not a mismatch repair gene, inactivates MSH2 in about 1% of individuals with Lynch syndrome (Jang et al. 2010. PubMed ID: 20559516; Bonadona et al. 2015. PubMed ID: 21642682; Kohlman and Gruber. 2018. PubMed ID: 20301390). Germline pathogenic variants in the Lynch syndrome genes have also been shown to be associated with ovarian cancer (Watson et al. 2008. PubMed ID: 18398828).

Testing Strategy

For this Next Generation Sequencing (NGS) test, sequencing is accomplished by capturing specific regions with an optimized solution-based hybridization kit, followed by massively parallel sequencing of the captured DNA fragments.

For Sanger sequencing, polymerase chain reaction (PCR) is used to amplify targeted regions. After purification of the PCR products, cycle sequencing is carried out using the ABI Big Dye Terminator v.3.0 kit. PCR products are resolved by electrophoresis on an ABI 3730xl capillary sequencer. In nearly all cases, cycle sequencing is performed separately in both the forward and reverse directions. This panel provides 99% coverage of all coding exons of the genes listed, plus ~10 bases of flanking noncoding DNA. We define coverage as ≥20X NGS reads or Sanger sequencing.

Copy number variants (CNVs) are also detected from NGS data. We utilize a CNV calling algorithm that compares mean read depth and distribution for each target in the test sample against multiple matched controls. Neighboring target read depth and distribution and zygosity of any variants within each target region are used to reinforce CNV calls. All CNVs are confirmed using another technology such as aCGH, MLPA, or PCR before they are reported.

This panel typically provides ≥98% coverage of all coding exons of the genes listed, plus ~10 bases of flanking noncoding DNA. We define coverage as ≥20X NGS reads or Sanger sequencing.

CNVs detected in STK11, NF1, PMS2 are confirmed via Multiplex Ligation-dependent Probe Amplification (MLPA).

Indications for Test

Individuals with a clinical presentation of Hereditary Breast and Ovarian Cancer syndrome. This test is also suitable for individuals with multifocal, recurrent, and early onset (< 50 years) colorectal tumors or a family history of colorectal tumors. This test is specifically designed for heritable germline mutations and is not appropriate for the detection of somatic mutations in tumor tissue. This is a predictive test and it only provides information regarding the likelihood of breast and/or ovarian cancer. A positive test does not mean that a person will develop any of these diseases and a negative test does not mean that a person will not.

Diseases

Name Inheritance OMIM ID
Ataxia-Telangiectasia Syndrome AR 208900
Ataxia-Telangiectasia-Like Disorder AR 604391
Bannayan-Riley-Ruvalcaba Syndrome AD 153480
Breast-Ovarian Cancer, Familial 1 AD 604370
Breast-Ovarian Cancer, Familial 2 AD 612555
Breast-Ovarian Cancer, Familial 3 AD 613399
Breast-Ovarian Cancer, Familial 4 AD 614291
Coffin-Siris Syndrome 4 AD 614609
Cowden Disease AD 158350
Endometrial Cancer AD 608089
Familial Cancer Of Breast AD 114480
Fanconi Anemia, Complementation Group J AR 609054
Hereditary Nonpolyposis Colorectal Cancer Type 5 AD 614350
Hereditary Nonpolyposis Colorectal Cancer Type 8 AD 613244
Li-Fraumeni Syndrome AD 151623
Lynch Syndrome I AD 120435
Lynch Syndrome II AD 609310
Muir-Torre Syndrome AD 158320
Myh-Associated Polyposis AR 608456
Neoplasm Of Ovary AD 167000
Neurofibromatosis, Type 1 AD 162200
Nijmegen Breakage Syndrome AR 251260
Nijmegen Breakage Syndrome-Like Disorder AR 613078
Peutz-Jeghers Syndrome AD 175200
Pleuropulmonary Blastoma AD 601200
Rhabdoid Tumor Predisposition Syndrome 2 AD 613325
Turcot Syndrome AR 276300

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CONTACTS

Genetic Counselors
Geneticist
Citations
  • Antoniou et al. 2006. PubMed ID: 16998504
  • Berlinear et al. 2013. PubMed ID: 23188549
  • Bonadona et al. 2015. PubMed ID: 21642682
  • Caminsky et al. 2016. PubMed ID: 26898890
  • Cancer.net
  • Cancer.org.
  • Clague et al. 2011. PubMed ID: 21980511
  • Hayano et al. 2016 PubMed ID: 27701467
  • Hearle et al. 2006. PubMed ID: 16707622
  • Hirasawa et al. 2017 PubMed ID: 29348823
  • Jalkh et al. 2017 PubMed ID: 28202063
  • Jang et al. 2010. PubMed ID: 20559516
  • Klonowska et al. 2015. PubMed ID: 25994375
  • Kohlmann and Gruber. 2018. PubMed ID: 20301390
  • Lim et al. 2004. PubMed ID: 15188174
  • Liu et al. 2017 PubMed ID: 28135048
  • Loveday et al. 2011. PubMed ID: 21822267
  • Masciari et al. 2007. PubMed ID: 17660459
  • Maxwel et al. 2014. PubMed ID: 25503501
  • Meijers-Heijboer et al. 2002. PubMed ID: 11967536
  • Meindl et al. 2011. PubMed ID: 21637635
  • Park et al. 2012 PubMed ID: 22464251
  • Petrucelli et al. 2013. PubMed ID: 20301425
  • Rafnar et al. 2011. PubMed ID: 21964575
  • Seal et al. 2006. PubMed ID: 17033622
  • Sung et al. 2017 PubMed ID: 28961279
  • Tan et al. 2008. PubMed ID: 18682420
  • Turnbull et al. 2008. PubMed ID: 18544032
  • van der Merwe et al. 2017 PubMed ID: 28241424
  • Walsh et al. 2007. PubMed ID: 17292821
  • Wang et al. 2009. PubMed ID: 19261749
  • Watson et al. 2008. PubMed ID: 18398828
  • Witkowski et al. 2014 PubMed ID: 24658002
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TEST METHODS

Sequencing and CNV Detection via NextGen Sequencing using PG-Select Capture Probes

Test Procedure

NextGen Sequencing

We use a combination of Next Generation Sequencing (NGS) and Sanger sequencing technologies to cover the full coding regions of the listed genes plus ~10 bases of non-coding DNA flanking each exon.  As required, genomic DNA is extracted from the patient specimen.  For NGS, patient DNA corresponding to these regions is captured using an optimized set of DNA hybridization probes.  Captured DNA is sequenced using Illumina’s Reversible Dye Terminator (RDT) platform (Illumina, San Diego, CA, USA).  Regions with insufficient coverage by NGS are covered by Sanger sequencing.

For Sanger sequencing, Polymerase Chain Reaction (PCR) is used to amplify targeted regions.  After purification of the PCR products, cycle sequencing is carried out using the ABI Big Dye Terminator v.3.0 kit.  PCR products are resolved by electrophoresis on an ABI 3730xl capillary sequencer.  In nearly all cases, cycle sequencing is performed separately in both the forward and reverse directions.

Patient DNA sequence is aligned to the genomic reference sequence for the indicated gene region(s). All differences from the reference sequences (sequence variants) are assigned to one of five interpretation categories, listed below, per ACMG Guidelines (Richards et al. 2015).

(1) Pathogenic Variants
(2) Likely Pathogenic Variants
(3) Variants of Uncertain Significance
(4) Likely Benign Variants
(5) Benign Variants

Human Genome Variation Society (HGVS) recommendations are used to describe sequence variants (http://www.hgvs.org).  Rare variants and undocumented variants are nearly always classified as likely benign if there is no indication that they alter protein sequence or disrupt splicing.

Deletion and Duplication Testing via NGS

Copy number variants (CNVs) such as deletions and duplications are detected from next generation sequencing data. We utilize a CNV calling algorithm that compares mean read depth and distribution for each target in the test sample against multiple matched controls. Neighboring target read depth and distribution, and zygosity of any variants within each target region are used to reinforce CNV calls. All CNVs are confirmed using another technology such as PCR, aCGH or MLPA before they are reported.
Analytical Validity

NextGen Sequencing

As of March 2016, 6.36 Mb of sequence (83 genes, 1557 exons) generated in our lab was compared between Sanger and NextGen methodologies. We detected no differences between the two methods. The comparison involved 6400 total sequence variants (differences from the reference sequences). Of these, 6144 were nucleotide substitutions and 256 were insertions or deletions. About 65% of the variants were heterozygous and 35% homozygous. The insertions and deletions ranged in length from 1 to over 100 nucleotides.

In silico validation of insertions and deletions in 20 replicates of 5 genes was also performed. The validation included insertions and deletions of lengths between 1 and 100 nucleotides. Insertions tested in silico: 2200 between 1 and 5 nucleotides, 625 between 6 and 10 nucleotides, 29 between 11 and 20 nucleotides, 25 between 21 and 49 nucleotides, and 23 at or greater than 50 nucleotides, with the largest at 98 nucleotides. All insertions were detected. Deletions tested in silico: 1813 between 1 and 5 nucleotides, 97 between 6 and 10 nucleotides, 32 between 11 and 20 nucleotides, 20 between 21 and 49 nucleotides, and 39 at or greater than 50 nucleotides, with the largest at 96 nucleotides. All deletions less than 50 nucleotides in length were detected, 13 greater than 50 nucleotides in length were missed. Our standard NextGen sequence variant calling algorithms are generally not capable of detecting insertions (duplications) or heterozygous deletions greater than 100 nucleotides. Large homozygous deletions appear to be detectable.

Deletion and Duplication Testing via NGS
 
In general, sensitivity for single, double, or triple exon CNVs is ~80% and for CNVs of four exon size or larger is close to 100%, but may vary from gene-to-gene based on exon size, depth of coverage, and characteristics of the region.
Analytical Limitations

NextGen Sequencing

Interpretation of the test results is limited by the information that is currently available.  Better interpretation should be possible in the future as more data and knowledge about human genetics and this specific disorder are accumulated.

When Sanger sequencing does not reveal any difference from the reference sequence, or when a sequence variant is homozygous, we cannot be certain that we were able to detect both patient alleles.  Occasionally, a patient may carry an allele which does not amplify, due to a large deletion or insertion.   In these cases, the report will contain no information about the second allele.  Our Sanger and NGS Sequencing tests are generally not capable of detecting Copy Number Variants (CNVs).

We sequence all coding exons for each given transcript, plus ~10 bp of flanking non-coding DNA for each exon.  Test reports contain no information about other portions of the gene, such as regulatory domains, deep intronic regions or any currently uncharacterized alternative exons.

In most cases, we are unable to determine the phase of sequence variants.  In particular, when we find two likely causative mutations for recessive disorders, we cannot be certain that the mutations are on different alleles.

Our ability to detect minor sequence variants due to somatic mosaicism is limited.  Sequence variants that are present in less than 50% of the patient’s nucleated cells may not be detected.

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 PCR.

Unless otherwise indicated, DNA sequence data is obtained from a specific cell-type (usually leukocytes 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.

Rare, low probability interpretations of sequencing results, such as for example the occurrence of de novo mutations in recessive disorders, are generally not included in the reports.

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 sample arrives at PreventionGenetics.

Deletion and Duplication Testing via NGS
 
This CNV calling algorithm used in this test detects most deletions and duplications; however aberrations in a small percentage of regions may not be accurately detected due to sequence paralogy (e.g. pseudogenes, segmental duplications), sequence properties, deletion/duplication size (e.g. single vs. two or more exons), and inadequate coverage. 
 
Balanced translocations or inversions within a targeted gene, or large unbalanced translocations or inversions that extend beyond the genomic location of a targeted gene are not detected.
 
In nearly all cases, our ability to determine the exact copy number change within a targeted gene is limited. In particular, when we find copy excess within a targeted gene, we cannot be certain that the region is duplicated, triplicated etc. In many duplication cases, we are unable to determine the genomic location or the orientation of the duplicated segment with respect to the gene. In particular, we often cannot determine if the duplicated segment is inserted in tandem within the gene or inserted elsewhere in the genome. Similarly, we may not be able to determine the orientation of the duplicated segment (direct or inverted), and whether it will disrupt the open reading frame of the given gene.
 
Our ability to detect CNVs due to somatic mosaicism is limited.
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Ordering Options


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.
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.

SPECIMEN TYPES
WHOLE BLOOD

(Delivery accepted Monday - Saturday)

  • Collect 3 ml -5 ml (5 ml preferred) of whole blood in EDTA (purple top tube) or ACD (yellow top tube). For Test #500-DNA Banking only, collect 10 ml -20 ml of whole blood.
  • For small babies, we require a minimum of 1 ml of blood.
  • Only one blood tube is required for multiple tests.
  • Ship blood tubes at room temperature in an insulated container. Do not freeze blood.
  • During hot weather, include a frozen ice pack in the shipping container. Place a paper towel or other thin material between the ice pack and the blood tube.
  • In cold weather, include an unfrozen ice pack in the shipping container as insulation.
  • At room temperature, blood specimen is stable for up to 48 hours.
  • If refrigerated, blood specimen is stable for up to one week.
  • Label the tube with the patient name, date of birth and/or ID number.

DNA

(Delivery accepted Monday - Saturday)

  • Send in screw cap tube at least 5 µg -10 µg of purified DNA at a concentration of at least 20 µg/ml for NGS and Sanger tests and at least 5 µg of purified DNA at a concentration of at least 100 µg/ml for gene-centric aCGH, MLPA, and CMA tests, minimum 2 µg for limited specimens.
  • For requests requiring more than one test, send an additional 5 µg DNA per test ordered when possible.
  • DNA may be shipped at room temperature.
  • Label the tube with the composition of the solute, DNA concentration as well as the patient’s name, date of birth, and/or ID number.
  • We only accept genomic DNA for testing. We do NOT accept products of whole genome amplification reactions or other amplification reactions.

CELL CULTURE

(Delivery preferred Monday - Thursday)

  • PreventionGenetics should be notified in advance of arrival of a cell culture.
  • Culture and send at least two T25 flasks of confluent cells.
  • Some panels may require additional flasks (dependent on size of genes, amount of Sanger sequencing required, etc.). Multiple test requests may also require additional flasks. Please contact us for details.
  • Send specimens in insulated, shatterproof container overnight.
  • Cell cultures may be shipped at room temperature or refrigerated.
  • Label the flasks with the patient name, date of birth, and/or ID number.
  • We strongly recommend maintaining a local back-up culture. We do not culture cells.
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