The Rapid Genotyping Assay – CYP2C9 & VKORC1 is intended to be used as an in vitro diagnostic test kit that detects the presence of CYP2C9 *2 and *3 and VKORC1 1173 C>T alleles. This test is for use with EDTA-anticoagulated whole blood samples. Information about the CYP2C9 and VKORC1 genotypes may be used as an aid in the identification of patients with greater risk for warfarin sensitivity. For Prescription Use Only. The information provided from this test may supplement therapeutic decision-making and should only be used in conjunction with routine monitoring by a physician. Clinicians should use professional judgment in the interpretation of results from this type of test.
Device Story
In vitro diagnostic test kit; detects specific genetic alleles (CYP2C9 *2, *3 and VKORC1 1173 C>T) in EDTA-anticoagulated whole blood samples. Used by clinical laboratory professionals to identify patients with potential warfarin sensitivity. Provides genotype information to assist clinicians in assessing patient risk profiles for anticoagulant therapy. Results aid in clinical decision-making regarding warfarin dosing strategies.
Clinical Evidence
No clinical trials performed. Analytical performance established via method comparison against bi-directional DNA sequencing using 150 genomic DNA samples. Total correct call rate was 98.9% (445/450). Reproducibility study across three sites (540 tests) showed 99.9% correct call rate. Extraction method comparison (216 tests) showed 99.5% correct call rate. Analytical specificity testing confirmed no interference from bilirubin, albumin, triglycerides, or hemolysis.
Indicated for patients requiring warfarin therapy to identify individuals at increased risk for warfarin sensitivity by detecting CYP2C9 *2, *3 and VKORC1 1173 C>T alleles in EDTA-anticoagulated whole blood.
Regulatory Classification
Identification
A prothrombin time test is a device used as a general screening procedure for the detection of possible clotting factor deficiencies in the extrinsic coagulation pathway, which involves the reaction between coagulation factors III and VII, and to monitor patients receiving coumarin therapy (the administration of one of the coumarin anticoagulants in the treatment of venous thrombosis or pulmonary embolism).
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k071867
B. Purpose for Submission:
New device
C. Measurand:
Genotype of Cytochrome P450 2C9 (CYP450 2C9) and Vitamin K epoxide reductase complex subunit 1 (VKORC1)
D. Type of Test:
Qualitative genetic test for single nucleotide polymorphism detection
E. Applicant:
ParagonDx, LLC
F. Proprietary and Established Names:
Rapid Genotyping Assay – CYP2C9 & VKORC1
G. Regulatory Information:
1. Regulation section:
21 CFR §862.3360 Drug Metabolizing Enzyme Genotyping Systems
21 CFR §864.7750 Prothrombin time test
2. Classification:
Class II
3. Product code:
ODW Cytochrome P450 2C9 (CYP450 2C9) Drug Metabolizing Enzyme Genotyping System
ODV Vitamin K epoxide reductase complex subunit 1 (VKORC1) Genotyping System
4. Panel:
Toxicology (91), Hematology (81)
H. Intended Use:
1. Intended use(s):
See Indications for use below.
2. Indication(s) for use:
The Rapid Genotyping Assay – CYP2C9 & VKORC1 is intended to be used as an in vitro diagnostic test kit that detects the presence of CYP2C9 *2 and *3 and VKORC1 1173 C>T alleles. This test is for use with EDTA-anticoagulated whole blood samples. Information about the CYP2C9 and VKORC1 genotypes may be used as an aid in the identification of patients with greater risk for warfarin sensitivity.
3. Special conditions for use statement(s):
For Prescription Use Only.
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The information provided from this test may supplement therapeutic decision-making and should only be used in conjunction with routine monitoring by a physician. Clinicians should use professional judgment in the interpretation of results from this type of test.
4. Special instrument requirements:
Cepheid Smart Cycler Dx
I. Device Description:
Each Rapid Genotyping Assay – CYP2C9 & VKORC1 kit contains reagents sufficient to complete 30test reactions. Each kit contains the following components:
- Two dispensers, each containing 15 lyophilized CYP2C9 beads. Each bead contains four individual primers and four individual probes to detect CYP2C9 *2 and CYP2C9 *3 wild-type and variant sequences. The primer/probe mixture is contained in HEPES-KCl buffer.
- Two dispensers, each containing 15 lyophilized VKORC1 beads. Each bead contains two individual primers and two individual probes to detect VKORC1 1173 C>T wild-type and variant sequences. The primer/probe mixture is contained in HEPES-KCl buffer.
- Three Cepheid SmartMix™ HM Master Mix dispensers, each containing 20 lyophilized beads. Each bead contains hot-start Taq polymerase, dNTP’s and MgCl₂ in HEPES buffer.
- One CYP2C9 Variation Detection Control (50μL Human Genomic DNA at 10ng/μL) with a combined CYP2C9 genotype of CYP2C9 *2/*3 (individual genotypes of CYP2C9 *2/wt and CYP2C9 *3/wt) and one VKORC1 Variation Detection Control (50μL Human Genomic DNA at 10ng/μL) with a VKORC1 genotype of VKORC1 1173/wt. These controls (VDCs) are suspended in 10mM Tris-EDTA (pH 8.0) buffered solution containing 0.05% sodium azide.
- One No Template Control (NTC): 100 μL TE buffer with 0.05% sodium azide.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Nanosphere Verigene Warfarin Metabolism Nucleic Acid Test
2. Predicate K number(s):
k070804
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Predicate Device (k070804) | Proposed Device |
| Intended Use | As an aid in the identification of patients at risk for increased warfarin sensitivity. | Same |
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| Similarities | | |
| --- | --- | --- |
| Item | Predicate Device (k070804) | Proposed Device |
| Sample type | Genomic DNA isolated from EDTA-anticoagulated whole blood | Same |
| Loci genotyped | *2 and *3 alleles of the CYP2C9 gene and a single-point polymorphism (C to T at position 1173) of the VKORC1 gene | Same |
| Differences | | |
| --- | --- | --- |
| Item | Predicate Device (k070804) | Proposed Device |
| Thermal cycling step | No thermal cycling is required for DNA amplification. | Utilizes thermal cycling to amplify genomic DNA. |
| Technology | Reactions occur on a single glass slide using microfluidics, with up to 32 cartridges (slides) hybridized & enhanced simultaneously. | Reactions occur in two plastic PCR tubes designed specifically for the instrument. |
# K. Standard/Guidance Document Referenced (if applicable):
None referenced.
# L. Test Principle:
The Rapid Genotyping Assay - CYP2C9 & VKORC1 is an in vitro diagnostic test kit that detects the presence of CYP2C9 *2 and *3 and VKORC1 1173 C>T alleles. The Rapid Genotyping Assay - CYP2C9 & VKORC1 is based on real-time PCR amplification of target genomic DNA and simultaneous detection of the corresponding single-nucleotide polymorphisms (SNPs) using the Cepheid SmartCycler® Dx platform. The assay consists of two independent reaction mixes (i.e. one for CYP2C9 and one for VKORC1) containing wild-type and mutant detection probes for each allele. Each probe is dually-labeled with a reporter fluorophore on the 5'-end and a quencher dye on the 3' end. The level of fluorescence obtained from both the wild-type and mutant reactions is directly correlated to a sample genotype. Genotype values for CYP2C9 *2, *3 and VKORC1 1173 C>T are determined separately by manually performing calculations obtained from the Cycle Threshold (Ct) values, which is defined as the first amplification cycle at which the fluorescence
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signal crosses the established threshold. Numeric Ct values taken from the sample results table in the Dx software are recorded for each fluorophore and the numeric difference between the wild-type and mutant Ct values ( $\Delta \mathrm{Ct}$ ) for a particular allele is calculated. Using instructions and interpretive flow diagrams provided in the package insert, the user is then able to determine the genotype values for each sample tested.
# M. Performance Characteristics (if/when applicable):
# 1. Analytical performance:
# a. Precision/Reproducibility:
Inter-site reproducibility was demonstrated by testing five genomic DNA samples covering all possible genotypes for all three alleles in CYP2C9 and VKORC1. The DNA samples were extracted from EDTA-anticoagulated whole blood at ParagonDx, all genotypes were determined by bi-directional DNA sequencing and then samples were sent to the investigational sites. Three investigational sites (two external; one internal) performed testing. Testing was performed in triplicate for a period of three days. Two of the test sites had one operator perform the testing to yield a total of 45 test results per site, while the internal testing site had two operators perform the testing to yield a total of 90 test results. In order to demonstrate lot-to-lot reproducibility, each site also performed testing on three different manufactured lots of assay kits. One indeterminate call was observed at Site 1. Testing of the sample was repeated and the genotype call obtained agreed with bi-directional DNA sequencing.
Genotypes of samples in Reproducibility Panel:
| Sample ID | CYP2C9 *2 | CYP2C9 *3 | VKORC1 1173 |
| --- | --- | --- | --- |
| PDX-001 | wt/wt | *3/*3 | 1173/wt |
| PDX-002 | *2/*2 | wt/wt | wt/wt |
| PDX-003 | wt/wt | wt/wt | wt/wt |
| PDX-004 | *2/wt | *3/wt | 1173/wt |
| PDX-005 | wt/wt | *3/wt | 1173/1173 |
Summary of Reproducibility Results (sorted by genotype):
| Site | Allele | # Total Tests | Correct Callsa | Incorrect Calls | No Callsb | % Correct Call Ratec(95% CI) |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | CYP2C9 *2 | 90 | 90 | 0 | 0 | 100.0% (96.5 - 100%) |
| | CYP2C9 *3 | 90 | 89 | 0 | 1d | 98.9% (93.4 - 100%) |
| | VKORC1 1173 | 90 | 90 | 0 | 0 | 100.0% (96.5 - 100%) |
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| Site | Allele | # Total Tests | Correct Calls^{a} | Incorrect Calls | No Calls^{b} | % Correct Call Rate^{c} (95% CI) |
| --- | --- | --- | --- | --- | --- | --- |
| 2 | CYP2C9 *2 | 45 | 45 | 0 | 0 | 100.0% (93.2 - 100%) |
| | CYP2C9 *3 | 45 | 45 | 0 | 0 | 100.0% (93.2 - 100%) |
| | VKORC1 1173 | 45 | 45 | 0 | 0 | 100.0% (93.2 - 100%) |
| 3 | CYP2C9 *2 | 45 | 45 | 0 | 0 | 100.0% (93.2 - 100%) |
| | CYP2C9 *3 | 45 | 45 | 0 | 0 | 100.0% (93.2 - 100%) |
| | VKORC1 1173 | 45 | 45 | 0 | 0 | 100.0% (93.2 - 100%) |
| Total | | 540 | 539 | 0 | 1 | 99.9% (98.9 - 100%) |
a A sample with a correct call indicates the correct genotype at all three loci, based on comparison to bi-directional DNA sequencing. An incorrect or no call at one of the three loci is considered an incorrect or no call for the whole sample.
b No Calls are those test results that did not yield a genotype call (e.g., indeterminate, no signal, or out of range calls).
c % Correct Call Rate = (# Correct Calls)/(# Total Tests) x 100.
d One indeterminate call was observed at Site 1. The sample was repeated and the genotype call obtained agreed with bi-directional DNA sequencing.
## Summary of Reproducibility Results for Individual Samples:
| Sample ID | Site | #Tests per Site | bCorrect Calls | cIncorrect Calls | dNo Calls | % Correct Call Rate^{e} |
| --- | --- | --- | --- | --- | --- | --- |
| PDX-001 | 1 | 18 | 18 | 0 | 0 | 100% |
| | 2 | 9 | 9 | 0 | 0 | 100% |
| | 3 | 9 | 9 | 0 | 0 | 100% |
| PDX-002 | 1 | 18 | 18 | 0 | 0 | 100% |
| | 2 | 9 | 9 | 0 | 0 | 100% |
| | 3 | 9 | 9 | 0 | 0 | 100% |
| PDX-003 | 1 | 18 | 18 | 0 | 0 | 100% |
| | 2 | 9 | 9 | 0 | 0 | 100% |
| | 3 | 9 | 9 | 0 | 0 | 100% |
| PDX-004 | 1 | 18 | 17 | 0 | 1^{f} | 94.4% |
| | 2 | 9 | 9 | 0 | 0 | 100% |
| | 3 | 9 | 9 | 0 | 0 | 100% |
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| Sample ID | Site | aTests per Site | bCorrect Calls | cIncorrect Calls | dNo Calls | % Correct Call Ratee |
| --- | --- | --- | --- | --- | --- | --- |
| PDX-005 | 1 | 18 | 18 | 0 | 0 | 100% |
| | 2 | 9 | 9 | 0 | 0 | 100% |
| | 3 | 9 | 9 | 0 | 0 | 100% |
| Total | | 180 | 179 | 0 | 1 | 99.4% |
a Tests per Site, where a test represents genotype calls obtained for all three loci (CY2C9 *2, *3 and VKORC1 1173).
b, c Correct Calls are genotype calls that were concordant with genotypes determined using bi-directional sequencing. Incorrect calls are genotype calls that did not agree with bi-directional sequencing.
d No Calls are those test results that did not yield a genotype call (e.g., indeterminate, no signal, or out of range calls).
e % Correct Call Rate = (# Correct Calls)/(# Total Tests) x 100.
f An indeterminate call was obtained for one replicate test performed on this sample. The user repeated testing and obtained the correct genotype call.
An extraction method study was carried out in order to demonstrate that personnel at different laboratories can isolate genomic DNA starting from whole blood samples using standard purification kits and utilize that DNA in the Rapid Genotyping assay to generate the correct genotype calls. Each of the three investigation sites (one internal and two external) received eight whole blood samples representing a variety of CYP2C9 and VKORC1 genotypes. The sample genotypes are indicated in first table below. Prior to shipment, DNA isolated from an aliquot in each blood tube was analyzed at ParagonDx via bi-directional sequencing. Each site used a different validated extraction method to purify the DNA. A trained technologist purified each sample one time on three separate days, to give a total of twenty-four DNA samples. Each sample was then tested in the Rapid Genotyping Assay. The person running the assay was not necessarily the same person that performed the purification (this reflects typical use since sample purification may occur in a separate department). For this arm of the study, each site performed testing on three different lots of manufactured assay kits (i.e., testing performed on each of the three days were performed using a different lot of material). These were the same three kit lots used for the Reproducibility Study. Each site used a different DNA isolation method. In total, there were 72 DNA samples tested in the extraction study, resulting in 216 genotype calls. There were no indeterminate or out of range calls made for the extraction method comparison study.
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Genotypes for blood samples in Extraction Method Comparison Panel:
| Sample ID | CYP2C9 *2 | CYP2C9 *3 | VKORC1 1173 |
| --- | --- | --- | --- |
| PDX-006 | *2/wt | wt/wt | wt/wt |
| PDX-007 | *2/wt | wt/wt | 1173/wt |
| PDX-008 | wt/wt | wt/wt | wt/wt |
| PDX-009 | *2/wt | wt/wt | 1173/1173 |
| PDX-0010 | wt/wt | *3/wt | 1173/wt |
| PDX-0011 | *2/wt | wt/wt | wt/wt |
| PDX-0012 | wt/wt | *3/wt | wt/wt |
| PDX-0013 | wt/wt | *3/*3 | 1173/wt |
Extraction Method Comparison Results (sorted by testing site):
| Site | Allele | # Total Tests | Correct Calls^{a} | Incorrect Calls | No Calls^{b} | % Correct Call Rate^{c} (95% CI) |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | CYP2C9 *2 | 24 | 24 | 0 | 0 | 100.0% (88.0 - 100%) |
| | CYP2C9 *3 | 24 | 23 | 1^{d} | 0 | 95.8% (78.1 - 100%) |
| | VKORC1 1173 | 24 | 24 | 0 | 0 | 100.0% (88.0 - 100%) |
| 2 | CYP2C9 *2 | 24 | 24 | 0 | 0 | 100.0% (88.0 - 100%) |
| | CYP2C9 *3 | 24 | 24 | 0 | 0 | 100.0% (88.0 - 100%) |
| | VKORC1 1173 | 24 | 24 | 0 | 0 | 100.0% (88.0 - 100%) |
| 3 | CYP2C9 *2 | 24 | 24 | 0 | 0 | 100.0% (88.0 - 100%) |
| | CYP2C9 *3 | 24 | 24 | 0 | 0 | 100.0% (88.0 - 100%) |
| | VKORC1 1173 | 24 | 24 | 0 | 0 | 100.0% (88.0 - 100%) |
| Total | | 216 | 215 | 1 | 0 | 99.5% (97.1 - 100%) |
a A sample with a correct call indicates the correct genotype at all three loci, based on comparison to bi-directional DNA sequencing. An incorrect or no call at one of the three loci is considered an incorrect or no call for the whole sample.
b No Calls are those test results that did not yield a genotype call (e.g., indeterminate, no signal, or out of range calls).
c % Correct Call Rate = (# Correct Calls)/(# Total Tests) x 100.
d A miscalled genotype was observed for the CYP2C9 *3 allele for one replicate test performed on a CYP2C9 *3/wt sample (user obtained a result of CYP2C9 wt/wt). All repeat testing performed on this sample generated the correct genotype. The reason for this miscall is unknown.
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Extraction Method Comparison Results (sorted by sample):
| Sample ID | Site | # Total Tests | Correct Calls^{a} | Incorrect Calls | No Calls^{b} | % Correct Call Rate^{c} |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 1 | 3 | 3 | 0 | 0 | 100% |
| | 2 | 3 | 3 | 0 | 0 | 100% |
| | 3 | 3 | 3 | 0 | 0 | 100% |
| 2 | 1 | 3 | 3 | 0 | 0 | 100% |
| | 2 | 3 | 3 | 0 | 0 | 100% |
| | 3 | 3 | 3 | 0 | 0 | 100% |
| 3 | 1 | 3 | 3 | 0 | 0 | 100% |
| | 2 | 3 | 3 | 0 | 0 | 100% |
| | 3 | 3 | 3 | 0 | 0 | 100% |
| 4 | 1 | 3 | 3 | 0 | 0 | 100% |
| | 2 | 3 | 3 | 0 | 0 | 100% |
| | 3 | 3 | 3 | 0 | 0 | 100% |
| 5 | 1 | 3 | 2 | 1^{d} | 0 | 66.7% |
| | 2 | 3 | 3 | 0 | 0 | 100% |
| | 3 | 3 | 3 | 0 | 0 | 100% |
| 6 | 1 | 3 | 3 | 0 | 0 | 100% |
| | 2 | 3 | 3 | 0 | 0 | 100% |
| | 3 | 3 | 3 | 0 | 0 | 100% |
| 7 | 1 | 3 | 3 | 0 | 0 | 100% |
| | 2 | 3 | 3 | 0 | 0 | 100% |
| | 3 | 3 | 3 | 0 | 0 | 100% |
| 8 | 1 | 3 | 3 | 0 | 0 | 100% |
| | 2 | 3 | 3 | 0 | 0 | 100% |
| | 3 | 3 | 3 | 0 | 0 | 100% |
| Total | | 72 | 71 | 1 | 0 | 98.6% |
a A sample with a correct call indicates the correct genotype at all three loci, based on comparison to bi-directional DNA sequencing. An incorrect or no call at one of the three loci is considered an incorrect or no call for the whole sample.
b No Calls are those test results that did not yield a genotype call (e.g., indeterminate, no signal, or out of range calls).
c % Correct Call Rate = (# Correct Calls)/(# Total Tests) x 100.
d A miscalled genotype was observed for the CYP2C9 *3 allele for one replicate test performed on a CYP2C9 *3/wt sample (user obtained a result of CYP2C9 wt/wt). All repeat testing performed on this sample generated the correct genotype. The reason for this miscall is unknown.
One discrepant genotype call was obtained for sample PDX-010 during the second day of testing. Based on bi-directional DNA sequencing, the true genotype of this sample is CYP2C9 *3/wt, but the genotype reported was CYP2C9 wt/wt for the CYP2C9 *3 assay. The user repeated testing on the DNA sample in triplicate and all repeat results gave the correct result. In order to rule out the extraction method being the cause of the discrepant genotype call, the DNA sample was re-extracted from blood and tested in triplicate; however, no additional miscalls were obtained for this sample, suggesting that the extraction method was not the cause of this discrepancy.
b. Linearity/assay reportable range:
Not applicable.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Controls: Bidirectional sequencing of the Human Genomic DNA Reference Control (HGDRC) materials was used to validate the presence of mutant or
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wild type sequence. The CYP2C9 Variation Detection Control (VDC) has a combined CYP2C9 genotype of CYP2C9 *2/*3 (individual genotypes of CYP2C9 *2/wt and CYP2C9 *3/wt). The VKORC1 Variation Detection Control (VDC) has a VKORC1 genotype of VKORC1 1173/wt. These control materials are derived from human β-lymphoblastoids obtained from properly consented donors.
Stability: Stability testing protocols for the control material, summary data and acceptance criteria was evaluated and found to be acceptable. Currently, the sponsor has 6 months stability data for each of the positive controls and 3 months individual stability data for the No Template Control (NTC). Real time stability testing is on-going to extend the stability claim.
Stability: The recommended storage condition for the Rapid Genotyping Kits is 2-8°C. Protocols for real time stability testing of closed and open kits and acceptance criteria were reviewed and found to be adequate. Currently, the sponsor has six months of data for closed kit and open kit stability.
d. Detection limit:
The limit of detection for the Rapid Genotyping Assay – CYP2C9 & VKORC1 was determined by analysis of genomic DNA samples diluted to 1ng/μl, 10ng/μl, 100ng/μl, and 500ng/μl. The highest concentration tested was 500ng/μl, which is five times above the stated high limit of concentration of 100ng/μl. The volume of template DNA used in each real-time qPCR reaction was the standard 5μl. The concentration of the parent DNA samples was determined by UV/Vis spectrophotometry. A total of thirty replicates for each genotype were tested at each of the four DNA input concentrations, yielding a total of 360 data points for the study.
| DNA Concentration (ng/μL) | Number of tests | Correct calls | Indeterminate calls | Wrong Calls | % Concordance (95% CI) |
| --- | --- | --- | --- | --- | --- |
| 500 | 90 | 90 | 0 | 0 | 100% (96.5 - 100%) |
| 100 | 90 | 90 | 0 | 0 | 100% (96.5 - 100%) |
| 10 | 90 | 90 | 0 | 0 | 100% (96.5 - 100%) |
| 1 | 90 | 90 | 0 | 0 | 100% (96.5 - 100%) |
This study demonstrates that the input DNA concentration for the Rapid Genotyping Assay can range from 1 to 500ng/μl without any significant effect on the assay performance for all of the alleles provided in the kit. Final results
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are reported as Delta Ct values and show that as the input template amount is increased, the reactions are efficient enough to maintain the same fluorescent profile in relation to the thresholds. In this study, 5μl of DNA at concentrations of 1ng/μl to 500ng/μl was added to each reaction, which is equivalent to a range of 5ng to 2500ng of total DNA per reaction. The results from these studies demonstrate that even at five times below or above the recommended DNA concentration limit, the assay still provides accurate genotype calls with 95% confidence.
e. Analytical specificity:
Three whole blood samples were tested:
Sample 1: CYP2C9 wt/wt & VKORC1 wt/wt
Sample 211: CYP2C9 *3/wt & VKORC1 wt/wt
Sample 214: CYP2C9 *2/wt & VKORC1 1173/1173
Each sample of whole blood was split into six different vials. Four of these vials were spiked with one of the following interfering substances: 20 mg/dL conjugated bilirubin, 20 mg/dL un-conjugated bilirubin, 1.67mg/mL human albumin, or 3000 mg/dL triglycerides. One vial was treated under extreme freeze-thaw conditions known to induce hemolysis in order to test for the interference of excessive heme. Finally, one vial was left untreated and served as the control for the interference study.
Each whole blood sample was spiked with the interfering substance one time and extracted one time to generate genomic DNA. Each genomic DNA sample was then tested in triplicate using the Rapid Genotyping Assay.
None of the substances tested interfered with the assay. Furthermore, none of the genotype calls fell close to any threshold cutoffs, suggesting that they were not at risk of being miscalled.
f. Assay cut-off:
Not applicable.
2. Comparison studies:
a. Method comparison with predicate device:
A method comparison study was performed in order to determine the assay accuracy as compared to bi-directional DNA sequencing. Testing for this arm of the study was conducted at one site only (internal site). The test panel for the method comparison study consisted of 150 unique human genomic DNA samples isolated from EDTA-anticoagulated whole blood. One lot of Rapid Genotyping Assay kit was used in this arm of the study. The total assay correct call rate is 98.9% (445 genotype calls made/450 total possible genotype calls) with no incorrect calls.
CYP2C9 *2
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| *2 Genotype^{a} | # Tests per Genotype | Correct Calls^{b} | Incorrect Calls | No Calls^{c} | % Correct Call Rate^{d} |
| --- | --- | --- | --- | --- | --- |
| wt/wt | 73 | 73 | 0 | 0 | 100.0%
(95.7 - 100%) |
| *2/wt | 72 | 72 | 0 | 0 | 100.0%
(95.7 - 100%) |
| *2/*2 | 5 | 5 | 0 | 0 | 100.0%
(59.9 - 100%) |
| Total | 150 | 150 | 0 | 0 | 100.0%
(97.9 - 100%) |
CYP2C9 *3
| *3 Genotype^{a} | # Tests per Genotype | Correct Calls^{b} | Incorrect Calls | No Calls^{c} | % Correct Call Rate^{d} |
| --- | --- | --- | --- | --- | --- |
| wt/wt | 101 | 100 | 0 | 1^{e} | 99.0%
(94.1 - 100%) |
| *3/wt | 47 | 45 | 0 | 2^{e} | 95.7%
(85.0 - 100%) |
| *3/*3 | 2 | 2 | 0 | 0 | 100.0%
(59.9 - 100%) |
| Total | 150 | 147 | 0 | 3 | 97.4%
(94.0 - 99.6%) |
VKORC1 1173 C>T
| VKORC1 Genotype^{a} | # Tests per Genotype | Correct Calls^{b} | Incorrect Calls | No Calls^{c} | % Correct Call Rate^{d} |
| --- | --- | --- | --- | --- | --- |
| wt/wt | 61 | 60 | 0 | 1^{f} | 98.4%
(90.4 - 100%) |
| 1173/wt | 73 | 72 | 0 | 1^{g} | 98.6%
(91.9 - 100%) |
| 1173/wt | 16 | 16 | 0 | 0 | 100.0%
(59.9 - 100%) |
| Total | 150 | 148 | 0 | 2 | 98.7%
(95.0 - 100%) |
a Genotypes determined through bi-directional DNA sequencing
b A sample with a correct call indicates the correct genotype at all three loci, based on comparison to bi-directional DNA sequencing. An incorrect or no call at one of the three loci is considered an incorrect or no call for the whole sample.
c No Calls are those test results that did not yield a genotype call (e.g., indeterminate, no signal, or out of range calls).
d % Correct Call Rate = (# Correct Calls)/(# Total Tests) x 100
e These tests yielded out of range calls.
f This test yielded an indeterminate call. The user reported a sample loading problem that likely was the result of this no call.
g This test yielded a no signal calls. The user reported a sample loading problem that likely was the result of this no call.
b. Matrix comparison:
Not applicable.
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable.
b. Clinical specificity:
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Not applicable.
c. Other clinical supportive data (when a. and b. are not applicable):
Not applicable.
4. Clinical cut-off:
Not applicable.
5. Expected values/Reference range:
Allele frequency across various ethnic groups:
| Genotype | Literature frequency (Caucasian) | Literature Frequency (Afr Am) | Literature Frequency (Asian) |
| --- | --- | --- | --- |
| CYP2C9 *2 | | | |
| wt/wt | 86.6% | 96.9% | 99.8% |
| *2/wt | 12.0% | 3.0% | <0.1% |
| *2/*2 | 1.4% | <0.1% | <0.1% |
| CYP2C9 *3 | | | |
| wt/wt | 92.5% | 98.4% | 78.8% |
| *3/wt | 7.4% | 1.5% | 18.0% |
| *3/*3 | 0.5% | <0.1% | 3.2% |
| VKORC1 1173 C>T | | | |
| wt/wt | 49.3% | 84.0% | <0.1% |
| 1173/wt | 37.0% | 14.0% | 10.9% |
| 1173/1173 | 13.7% | 2.0% | 89.0% |
$^{1}$ Reynolds KK, Valdes R, Hartung B, Linder MW. Individualizing warfarin therapy. Personalized Medicine. 2007 4:1:11-31.
$^{2}$ Rieder MJ, Reiner AP, Gage BF, Nickerson DA, Eby CS et al. Effect of VKORC1 haplotypes on transcriptional regulation and warfarin dose. The New England Journal of Medicine 2005, 352:2285-93.
# N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
# O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.