VERIGENE CFTR NUCLEIC ACID TEST AND VERIGENE CFTR POLYT NUCLEIC ACID TEST
K083294 · Nanosphere, Inc. · NUA · Jul 24, 2009 · Immunology
Device Facts
Record ID
K083294
Device Name
VERIGENE CFTR NUCLEIC ACID TEST AND VERIGENE CFTR POLYT NUCLEIC ACID TEST
Applicant
Nanosphere, Inc.
Product Code
NUA · Immunology
Decision Date
Jul 24, 2009
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.5900
Device Class
Class 2
Attributes
Real-World Evidence, Pediatric
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K083294 · Jul 24, 2009
VERIGENE CFTR NUCLEIC ACID TEST AND VERIGENE CFTR POLYT NUCLEIC ACID TEST
Nanosphere, Inc.
Residual, de-identified human whole blood clinical samples
Residual clinical samples were used to evaluate the performance (method comparison) of the Verigene CFTR and CFTR PolyT Nucleic Acid Tests against bi-directional sequencing.
Human whole blood samples (residual and de-identified); Sample Size: 234; Number of Sites: 3
Bi-directional sequencing
Genotype concordance
Indications for Use
The Verigene®CFTR and Verigene®CFTR PolyT Nucleic Acid Tests are qualitative in vitro diagnostic devices used to genotype a panel of mutations and variants in the cystic fibrosis transmembrane conductance regulator (CFTR) gene in genomic DNA isolated from human peripheral whole blood specimens. The panel includes mutations and variants recommended by the 2004 American College of Medical Genetics (ACMG) and the 2005 American College of Obstetricians and Gynecologists (ACOG). The Verigene®CFTR Nucleic Acid Test provides information intended to be used for carrier testing in adults of reproductive age and in confirmatory diagnostic testing of newborns and children. These tests are not indicated for use in fetal diagnostic or pre-implantation testing and not indicated for stand-alone diagnostic purposes and the results should be used in conjunction with other available laboratory and clinical information. Both tests are intended to be used on the Verigene System.
Device Story
Verigene CFTR and Verigene CFTR PolyT Nucleic Acid Tests are qualitative in vitro diagnostic assays for genotyping CFTR gene mutations and variants. Input: genomic DNA isolated from human peripheral whole blood. Operation: automated nucleic acid testing system; detects specific mutations/variants associated with cystic fibrosis. Output: genotype results for the panel. Used in clinical laboratory settings by trained personnel. Results intended for use by clinicians in conjunction with other laboratory and clinical data to support carrier screening and diagnostic confirmation. Benefits: provides rapid, specific genetic information to assist in clinical decision-making for cystic fibrosis management and reproductive counseling.
Clinical Evidence
No clinical data provided in the summary document; device performance established via bench testing of analytical sensitivity and specificity for mutation detection.
Technological Characteristics
Qualitative genotyping assay using gold-labeled nanoparticle probes on a microarray. Signal amplification via silver deposition. Detection via light scattering photosensor. System: Verigene Processor and Reader. Connectivity: Closed system. Software: Embedded, integrated GUI. Materials: Single-use disposable cartridges.
Indications for Use
Indicated for carrier testing in adults of reproductive age and confirmatory diagnostic testing of newborns and children for CFTR gene mutations/variants. Not for fetal or pre-implantation testing; not for stand-alone diagnosis.
Regulatory Classification
Identification
The CFTR gene mutation detection system is a device used to simultaneously detect and identify a panel of mutations and variants in the CFTR gene. It is intended as an aid in confirmatory diagnostic testing of individuals with suspected cystic fibrosis (CF), carrier identification, and newborn screening. This device is not intended for stand-alone diagnostic purposes, prenatal diagnostic, pre-implantation, or population screening.
Special Controls
*Classification.* Class II (special controls). The special control is FDA's guidance document entitled “Class II Special Controls Guidance Document: CFTR Gene Mutation Detection System.” See § 866.1(e) for the availability of this guidance document.
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
k083294
B. Purpose for Submission:
New device
C. Measurand:
Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) Gene in human blood specimens
D. Type of Test:
Qualitative genotyping assay
E. Applicant:
Nanosphere, Inc
F. Proprietary and Established Names:
Verigene® CFTR and Verigene® CFTR PolyT Nucleic Acid Tests
G. Regulatory Information:
1. Regulation section:
21 CFR 866.5900 CFTR (cystic fibrosis transmembrane conductance regulator) gene mutation detection system
2. Classification:
Class II
3. Product code:
NUA, System, test, CFTR (cystic fibrosis transmembrane conductance regulator) gene mutation detection system
4. Panel:
Immunology (82)
H. Intended Use:
1. Intended use(s):
The Verigene®CFTR and Verigene®CFTR PolyT Nucleic Acid Tests are qualitative *in vitro* diagnostic devices used to genotype a panel of mutations and variants in the cystic fibrosis transmembrane conductance regulator (CFTR) gene in genomic DNA isolated from human peripheral whole blood specimens. The panel includes mutations and variants recommended by the 2004 American College of Medical Genetics (ACMG) and the 2005 American College of Obstetricians and Gynecologists (ACOG). The Verigene®CFTR Nucleic Acid Test provides information intended to be used for carrier testing in adults of reproductive age and in confirmatory diagnostic testing of newborns and children.
These tests are not indicated for use in fetal diagnostic or pre-implantation testing and not indicated for stand-alone diagnostic purposes and the results should be used in conjunction with other available laboratory and clinical information. Both tests are intended to be used on the Verigene System.
2. Indication(s) for use:
Same as intended use
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3. Special conditions for use statement(s):
For prescription use only
4. Special instrument requirements:
Verigene® System (k070804 and k070597)
I. Device Description:
The Nanosphere Verigene CFTR Nucleic Acid Test product consists of one Verigene System hybridization cartridge, which detects the recommended 23 ACMG/ACOG mutations and the I506V, I507V, and F508C variants for ΔF508 reflex testing.
The Nanosphere Verigene CFTR PolyT Nucleic Acid Test product consists of one Verigene System hybridization cartridge. This cartridge is a reflex test (evaluating the 5/7/9T variant in intron 8) and is run only for samples shown to have the R117H mutation. Both hybridization cartridges are for use with the Verigene System.
The Verigene System consists of two instruments, the Verigene Processor and the Verigene Reader, and utilizes single-use, disposable Test Cartridges. There are four hybridization modules in each Verigene Processor and up to eight Verigene Processors may be connected to a single Verigene Reader.
Following reagents are provided with the assay:
- Verigene®CFTR Nucleic Acid Test Kit; each kit contains 12 Test Cartridges and 2 CFTR Sample Buffer trays with 8 aliquots / tray.
- Verigene®CFTR Sample Buffer; contains 2 CFTR Sample Buffer trays with 8 aliquots / tray.
- Verigene®CFTR PolyT Nucleic Acid Test Kit; each kit contains 4 Test Cartridges and 1 CFTR PolyT Sample Buffer tray with 8 aliquots / tray.
- Verigene®CFTR PolyT Sample Buffer; contains 2 CFTR PolyT Sample Buffer trays with 8 aliquots / tray.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Celera Diagnostics Cystic Fibrosis Genotyping Assay
2. Predicate 510(k) number(s):
k062028
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | The Verigene®CFTR and Verigene®CFTR PolyT Nucleic Acid Tests are qualitative in vitro diagnostic devices used to genotype a panel of mutations and variants in the cystic fibrosis transmembrane conductance regulator (CFTR) gene in genomic DNA isolated from human peripheral whole blood specimens. The panel | Same |
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| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | includes mutations and variants recommended by the 2004 American College of Medical Genetics (ACMG) and the 2005 American College of Obstetricians and Gynecologists (ACOG). The Verigene®CFTR Nucleic Acid Test provides information intended to be used for carrier testing in adults of reproductive age and in confirmatory diagnostic testing of newborns and children. | |
| Specimen type | Purified genomic DNA (gDNA) from human whole blood. | Same |
| Specimen preparation | DNA isolation performed off-line. | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Software | Verigene System embedded software in a closed system, integrated graphical user interface. | CEGA-16™ Instrument Software with supplied settings and parameters. |
| Test Methodology | Qualitative genotyping assay; integrated amplicon hybridization to gold-labeled nanoparticle probes on a microarray, followed by silver signal amplification and detection by measuring relative intensity of scattered light by a photosensor | Multiplex PCR followed by DNA sequencing and OLA reflex testing. |
| Instrument Systems | The Verigene® System comprised of the Processor, Reader, and Test Cartridges | CEGA-16™ Instrument System |
| Mutations and Polymorphisms detected | CF test: 23 ACMG plus 3 variants CF PolyT test: 5T/7T/9T | 32 mutations (23 ACMG + 9 additional)/Reflex OLA Assay: 5T/7T/9T |
# K. Standard/Guidance Document Referenced (if applicable):
CLSI EP5-A2; Evaluation of Precision Performance of Quantitative Measurement Methods
CLSI EP12-A; User Protocol for Evaluation of Qualitative Test Performance; Approved Guideline
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Guidance on Informed Consent for In Vitro Diagnostic Device Studies Using Leftover Human Specimens that are Not Individually Identifiable – Guidance for Sponsors, Institutional Review Boards, Clinical Investigators and FDA Staff
Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices - Guidance for Industry and FDA Staff
Class II Special Controls Guidance Document: CFTR Gene Mutation Detection Systems
L. Test Principle:
The Nanosphere Verigene System uses nanoparticle probe technology to detect DNA targets. Genomic DNA from a clinical sample is extracted and a small aliquot is pipetted into a single-use, proprietary Test Cartridge. The genomic DNA is then sheared, via a proprietary sonication process, into 300-500 base-pair fragments in order to facilitate hybridization in subsequent steps.
In the initial hybridization step, the sheared genomic DNA (target nucleic acid) is simultaneously hybridized to:
- Single DNA base-specific capture oligonucleotides arrayed in replicate on a solid support (an array), and
- Sequence-specific mediator oligonucleotides that detect single-copy DNA regions of each target of interest.
- A washing step then follows that removes unhybridized gold nanoparticle probes;
Silver signal amplification is then performed on the gold nanoparticle probes that are hybridized to the captured DNA targets of interest. There then follows a washing step to remove unreacted signal amplification reagents.
Qualitative analysis of results (slide reading) is performed on the Verigene® Reader. The test slide is inserted into the Reader wherein it is illuminated along its side. The gold-silver aggregates at the test sites scatter the light, which is in turn captured by a photosensor. The relative intensity arising from each arrayed test site is tabulated. Net signals, defined as the absolute signal intensities with background signals subtracted, are compared with thresholds determined by negative controls within the slide in order to arrive at a decision regarding the presence or absence of target. These results are linked to the test and patient information entered at the beginning of each test session to provide a comprehensive results file.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility
Reproducibility studies were performed at each of 3 sites, one internal and two external. Each site ran 24 samples using 2 operators once per day over 5 non-consecutive days. The samples consisted of cell lines with specific CFTR mutations spiked into leukocyte-depleted (LD) whole blood. In the first reproducibility study, Site B had a higher than expected number of no-calls and 2 miscalls (76.1% call rate). This was determined to be due to issues with the method used to resuspend the Coriell cell lines into leukocyte depleted whole blood and the DNA purification method.
A second reproducibility study using 25 samples made from Coriell cell lines (CCL) spiked into leukocyte depleted whole blood was performed at site B. During this study, two changes were made. The CCL pellets were resuspended by Nanosphere personnel into the LD whole blood. The second change was that at site B all DNA
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purifications were made using the same method as sites A and C. In this study, the call rate was 94% with a concordance rate of 100% between sequencing results and the Verigene assay results. The reproducibility study results are in the table below.
Lot to lot reproducibility studies were not performed because testing is done on a single-use disposable cartridge.
Table: Reproducibility results
| Genotype by DNA Sequencing^{4} | Number of Sample Replicates | Number of CF Calls | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | Correct Calls | | | # No Calls^{1} | Call Rate | Missed Calls^{2} | Agreement | 95% LCB^{3} |
| | Site A | Site B | Site C | Site A | Site B | Site C | | | | | |
| ΔF508 | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| G542X | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| W1282X | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| G551D | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| 621+1G>T | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| N1303K | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| R553X | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| ΔI507 | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| 3120+1G>A | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| 3849+10kbC>T | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| R117H | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| 1717-1G>A | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| 2789+5G>A | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| R334W | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| R347P | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| 711+1G>T | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| R1162X | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| R560T | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| 3659delC | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| A455E | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| G85E | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| 2184delA | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
| 1898+1G>A | 240 | 240 | 240 | 222 | 225 | 227 | 46 | 93.6 | 0 | 100% | 99.4 |
No repeat testing was performed in the reproducibility study
1Sample failures or results generating a 'no call' result and require repeating
2Missed calls = wrong or incorrect calls
*Site B used one method of DNA extraction and purification. Sites A and C used a different method.
b. Linearity/assay reportable range:
Not applicable
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
The reference method is bi-directional sequencing.
Both pre-shipping and post-shipping stability was tested on 3 different lots of cartridges, shipped to three US destinations. All cartridges made 100% accurate calls at two dates prior to shipping, and one month post shipping. At two months post
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shipping, all lots sent to two destinations (California, Pennsylvania) made 100% accurate calls, while 5/7 cartridges sent to Texas made accurate calls. Another set of cartridges from the Texas lot was sampled and 5/6 made 100% accurate calls at 2 months post-shipping.
d. Detection limit:
The package insert states that the optimal DNA concentration for this test has been determined as between 100-400 ng/ul and the optimal DNA purity (as measured by spectrophotometry is 1.80 (typical range: 1.60-2.00 A260/A280 and A260/A230)). Using concentrations less than 100 ng/ul may results in lower call rates. See Table below:
Analytical sensitivity study results
| DNA Concentration | Number of cartridges | Correct Calls |
| --- | --- | --- |
| 60 ng/ul | 12 | 10 |
| 80 ng/ul | 12 | 9 |
| 100 ng/ul | 12 | 12 |
| 500 ng/ul | 12 | 12 |
e. Analytical specificity:
Commonly occurring endogenous substances were tested for their potential to interfere with the performance of the CFTR mutation detection system. Potential interfering substances were added to whole blood prior to sample preparation for purified gDNA. The three interferents and their concentrations in the blood are: hemoglobin-1.4 g/dL, triglyceride-500 mg/dL, bilirubin-20 mg/dL. Results indicate that these substances at these concentrations had no effect on the assay.
f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
A total of 234 samples (212 DNA derived from human whole blood and the remaining from other sample sources) were analyzed using the CFTR Nucleic Acid Test Cartridges. Whole blood samples were extracted using three common commercial DNA extraction methods. Sample inclusion criteria include test subjects with known CF mutations and samples that were residual and de-identified. Exclusion criteria included samples that could not be verified by bi-directional sequencing because of mishandling, insufficient volume or because sequencing failed to generate complete results. There were 295 mutations tested in the method comparison study across the 234 samples. Twelve samples were wild type at all CFTR loci. If the result for any allele is a "no call", all results are reported as "no call." In the study, "no call" results were repeated on the Verigene System if enough sample remained. Duplicate bi-directional sequencing was performed on each sample by an independent reference laboratory.
Testing was at the three clinical sites: 82 at Site 1, 74 at Site 2, and 78 at site 3.by laboratory personnel. The operators analyzed each sample on the Verigene System, and multiple lots of test cartridges were used at each site. Only one sample gave a missed call result during initial testing (3849+10kb C>T).
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| Genotype by DNA Sequencing | Number of CF Calls Before Repeat Testing | | | | | | Number of CF Calls After Repeat Testing | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | Correct Calls | | | # No Calls | Call Rate % | Missed Calls² | Correct Calls | | | # Repeated samples⁴ | # No Calls | Call Rate % | Missed Calls² | % Agreement | 95% LB |
| | Site A | Site B | Site C | | | | Site A | Site B | Site C | | | | | | |
| ΔF508 | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| G542X | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| W1282X | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| G551D | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| 621+1G>T | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| N1303K | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| R553X | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| ΔI507 | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| 3120+1G>A | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| 3849+10kbC>T | 72 | 57 | 57 | 47 | 79.5 | 1† | 76 | 69 | 73† | 45 | 16 | 93.2 | 0† | 100 | 98.4 |
| R117H | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| 1717-1G>A | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| 2789+5G>A | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| R334W | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| R347P | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| 711+1G>T | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| R1162X | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| R560T | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| 3659delC | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| A455E | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| G85E | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| 2184delA | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| 1898+1G>A | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| I506V | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| I507V | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| F508C | 72 | 57 | 57 | 48 | 79.5 | 0 | 76 | 69 | 73 | 45 | 16 | 93.2 | 0 | 100 | 98.4 |
| Total | 1872 | 1482 | 1482 | 1247 | 79.5 | 1† | 1976 | 1794 | 1898 | 45 | 416 | 93.2 | 0† | 100 | 99.9 |
1 Sample failures or results generating a "no call" result and require repeating.
2 Missed calls = wrong or incorrect calls
3 One-sided 95% lower confidence bound
4 # samples being retested
† The single miscall, during the CFTR methods comparison study, occurred with a 3849+10kB target. After an investigation, a lower signal was found at the specific capture site for this target on the substrate. Corrective action was taken to improve binding of the mutant 3849+10kb capture oligonucleotide to the substrate at this position. Because of the design of the array, changes at one capture site are not expected to affect other sites. Following design verification, the same clinical sample, as well as testing on additional samples including other CF mutations was successfully repeated at an external clinical site.
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Forty DNA samples, all derived from human whole blood, were used to evaluate the CFTR PolyT Nucleic Acid Test at the three clinical sites.
| Genotype by DNA Sequencing | Number of CF Calls Before Repeat Testing | | | | | | Number of CF Calls After Repeat Testing | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | Correct Calls | | | # No Calls | Call Rate % | Missed Calls² | Correct Calls – After Repeats | | | # Repeat Sample | # No Calls¹ | Call Rate % | Missed Calls² | Agreement (w/Calls Made After Repeats) | 95% LCB³ |
| | Site A | Site B | Site C | | | | Site A | Site B | Site C | | | | | | |
| 5T | 10 | 11 | 8 | 11 | 72.5 | 0 | 12 | 11 | 12 | 11 | 3 | 92.5 | 2⁵ | 94.6% | 84.0% |
| 7T | 10 | 11 | 8 | 11 | 72.5 | 0 | 12 | 11 | 12 | 11 | 3 | 92.5 | 2⁵ | 94.6% | 84.0% |
| 9T | 10 | 11 | 8 | 11 | 72.5 | 0 | 12 | 11 | 12 | 11 | 3 | 92.5 | 2⁵ | 94.6% | 84.0% |
² Missed calls = wrong or incorrect calls
One-sided 95% lower confidence bound
† During the CFTR PolyT methods comparison study, two miscalls occurred with 7T/7T samples that were read as 5T/7T genotypes. After an investigation, it was found that the signal at the 5T capture was too high when a sample was tested that did not have the 5T sequence. Corrective action was taken to raise the temperature during hybridization and washing to improve stringency conditions of the test. This led to a lowering of the 5T signal for samples with no 5T sequence. Following design verification, validation of the change was performed on 24 additional samples at two clinical sites and resulted in a 95.8% call rate and no miscalls.
b. Matrix comparison:
Not applicable
3. Clinical studies:
a. Clinical Sensitivity:
The clinical sensitivity of the assay is dependent on the ethnicity of the individual being tested, and can be estimated based on published studies of mutation frequencies in various ethnic groups.
b. Clinical specificity:
The clinical specificity can be estimated based on published literature.
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:
Cystic Fibrosis (CF) is the most common autosomal recessive disorder in the Caucasian population, with an incidence of approximately 1 in 3200 live births. The incidence of CF in other ethnic groups varies, as seen in the following table.
| Race/Ethnic Group | Carrier Frequency (Individuals with a CFTR mutation) |
| --- | --- |
| Ashkenazi Jewish | 1/23.8 |
| Non-Hispanic Caucasian | 1/25.0 |
| Hispanic Caucasian | 1/58.2 |
| African American | 1/61.4 |
| Asian American | 1/93.7 |
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N. Instrument Name:
The Verigene System, which includes the Verigene Processor and the Verigene Reader.
O. System Descriptions:
See k070804 and k070597 for a description of the Verigene system and base software environment.
Results
The Verigene Reader outputs a normalized value (genotype number) based on the signals detected by the Verigene Reader’s photosensor. Each genotype number is calculated as a ratio of the difference between the wild type net signal and the mutant net signal over the sum of the wild type and mutant net signals. The net signal is the absolute signal level minus local background signal. A value at or near +1.0 indicates that the wild type signal is higher than the mutant signal and the result is wildtype. A value at or near -1.0 indicates that the mutant signal is higher than the wildtype signal and a mutant genotype is the result.
Genotype numbers near 0 indicate a heterozygous result. In addition, the software has the capability of distinguishing between homozygosity and heterozygosity for delI507 and delIF508.
The CFTR PolyT results are generated by comparing signal levels of the 5T, 7T, and 9T variants. Signal levels are ranked highest, middle and lowest; and comparative ratios are calculated to determine the genotype numbers for each Poly T variant.
Results are displayed on the Verigene reader as they are available. Records are available to print when the session is complete.
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
Yes ☐ X or No ☐
1. Specimen Identification:
Each test cartridge handles one sample and has a unique barcode identification. The test cartridge barcode identification is first scanned into the Verigene Reader. The user is then prompted to enter the sample identification, either manually or by scanning in a sample identification barcode. The sample and the sample buffer are then immediately loaded into the test cartridge and the test cartridge is inserted into the Processor.
2. Specimen Sampling and Handling:
Genomic DNA extraction from whole blood is done manually, and extracted and purified DNA is loaded directly into the test cartridge. DNA can be stored short term (24 hours) at 2-8° C or long term at ≤15°C. The test reagents are all self enclosed in the test cartridge and no user input is required.
3. Calibration:
Not applicable, the test cartridges are single-use and a closed system.
4. Quality Control:
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The Verigene System quality control regimen has three aspects:
1. A series of automated on-line quality measurements that monitor instrument functionality, software performance, fluidics, test conditions, reagent integrity and procedural steps in each assay each time a test is performed;
2. A series of automated on-line procedural checks monitor the user each time a test is performed; and
3. Liquid materials are used to verify the performance of a lot/batch of cartridges when they are first received or when storage conditions are in question.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
None
Q. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
R. 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.