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Draft Genetic Test Review

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Breast Cancer
Analytic Validity

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ANALYTIC VALIDITY
Question 8: Is the test qualitative or quantitative?
Question 9: How often is a test positive when a mutation is present (analytic sensitivity)?
Question 10: How often is the test negative when a mutation is not present (analytic sensitivity)?
Question 11: Is an internal quality control program defined and externally monitored?
Question 12: Have repeated measurements been made on specimens?
Question 13: What is the within- and between-laboratory precision?
Question 14: If appropriate, how is confirmatory testing performed to resolve false positives in a timely manner?
Question 15: What range of patient specimens have been tested?
Question 16: How often does the test fail to give a useable result?
Question 17: How similar are results obtained in multiple laboratories using the same, or different, technology?

ANALYTIC VALIDITY

Question 9. How often is the test positive when a mutation is present (sensitivity)?
Question 10. How often is the test negative when a mutation is not present (specificity)?

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Complicating factors in interpreting survey results These were limited challenges, and in each of the two years, two of the three samples did not contain a mutation. An additional aim of these external challenges was to assess the type of reporting and counseling information that the participating laboratories might include in their report. The results for interpretation are given in Table 2-5. In 2001, for each of the two challenges without a BRCA1/2 mutation, 10 of 17 laboratories (59%) responded that the risk of breast cancer could not be determined without testing an affected relative, while 7 (41%) stated that the risk of breast cancer is the same as that for the general population. The first interpretation is correct. Responses improved in 2002, with one exception (one laboratory correctly found no mutation in the sample, but indicated a lifetime risk of breast cancer of 50 to 85% - Table 2-5). In the challenge containing a BRCA2 mutation, 16 of 17 laboratories (94%) estimated the lifetime risk of breast cancer as 50 to 85 percent. The one remaining laboratory estimated the risk of breast cancer to be 80 to 95 percent. These post-analytic issues are as important as technical proficiency.

Gap in Knowledge: ACMG/CAP: Analytic performance estimates are preliminary. While these data are not complete or robust, there is no evidence of a problem in detecting a specific BRCA2 mutation with any of the existing laboratory methodologies. Expansion of these challenges to include different types of mutations and comparisons amongst methodologies will assist in validating the analytic performance of the U.S. laboratories providing clinical testing for a subset of BRCA1/2 mutations.

Gap in Knowledge: ACMG/CAP: Analytic performance estimates are available for only a small number of mutations. Only a small number of mutations (3) is included in external proficiency testing exercises (185delAG, 5382insC, 6174delT). Only one of these three mutations was challenged in the first two years. Other mutations, such as those identified in index cases, have not yet been subject to external proficiency testing.

Table 2-5. Responses for the post-analytic aspects of BRCA1/2 mutation challenges from laboratories participating in the ACMG/CAP Molecular Genetics Laboratory Surveys

Response
Participants N (%)
2001
2002
Case 1 (no mutation)
Lifetime risk of breast cancer is reduced but cannot be determined
without BRCA mutation testing of an affected relative
10 (59)
10 (91)
Lifetime risk of breast cancer is the same as that in the general
population
7 (41)
1 (9)
Case 2 (no mutation)
Lifetime risk of breast cancer is reduced but cannot be determined
without BRCA mutation testing of an affected relative
10 (59)
9 (82)
Lifetime risk of breast cancer is the same as that in the general
population
7 (41)
1 (9)
Lifetime risk of breast cancer is approximately 50-85%
0
1 (9)
Case 3 (6174delT)
Lifetime risk of breast cancer is approximately 50-85%
16 (94)
11 (100)
Lifetime risk of breast cancer is approximately 80-95%
1 (6)
0

 

Appendix A. Data Used to Estimate Analytic Sensitivity and Specificity from external proficiency testing

European Molecular Genetics Quality Network Table 2-6 summarizes the familial cancer testing (BRCA1/2 mutations) external proficiency testing results obtained by European Molecular Genetics Quality Network (EMQN). Samples with known genotypes were distributed to participants from 1999 through 2002. The first column of the table contains the case number for the year. The second column contains number of participating laboratories, followed by the genotype of the sample. The number of laboratories reporting specific genotypes is then provided, along with a tabulation of their ‘correct' and ‘incorrect' responses. The table also contains the data used to compute the analytic sensitivity and specificity in a box, along with the yearly (and summary) totals.

Table 2-6. Computations for the EMQN Proficiency Testing Surveys

 
Reported Alleles
Distribution
Labs
Genotype
Correct
Incorrect
1999
   Case 1
13
C140T
 
12
C140T
24
0
 
1
Wild type
1
1 (fn)
   Case 2
14
A5176G
 
14
A5176G
28
0
 
1
*
1 (fp)
   Case 3
13
C4446T
 
13
C4446T
26
0
   Totals
80 alleles
79
2
Sensitivity
24+1+28+26/80

 

 

 

 

 

 

 

 

* One laboratory identified the correct mutation, but also reported a second base exchange that was not seen by the 2 reference labs or any of the other participants.

fn = false negative
fp = false positive

 
Reported Alleles
Distribution
Labs
Genotype
Correct
Incorrect
2000
   Case 1
24
185delAG
 
24
185delAG
48
0
 
   Case 2
24
1259delG
 
22
1259delG
44
0
 
1
Wild type
1
1 (fn)
 
1
Wrong position
1
0 (wm)
   Case 3
20
A10462G
 
18
A10462G
36
0
2
Wild type
2
2 (fn)
         
   Totals
136 alleles
132
3
Sensitivity
48+44+1+1+36+2/136

 

 

 

 

 

 

 

 

 

fn = false negative, wm = wrong mutation

 
Reported Alleles
Distribution
Labs
Genotype
Correct
Incorrect
2001
   Case 1
41
3600del11
 
39
3600del11
78
0
 
1
Wild type
1
1 (fn)
 
1
4600del11
1
1 (wm)
   Case 2
38
G4603A
 
34
G4603A
68
0
 
2
Wild type
2
2 (fn)
 
2
G4603T
2
2 (wm)
   Case 3
40
G5075A
 
38
G5075A
76
0
2
Wild type
2
2 (fn)
         
   Totals
238 alleles
230
8
Sensitivity
78+1+1+68+2+2+76+2/238

 

 

 

 

 

 

 

 

 

 

fn = false negative, wm = wrong mutation

 
Reported Alleles
Distribution
Labs
Genotype
Correct
Incorrect
2002
   Case 1
36
5677insA
 
34
5677insA
68
0
 
2
Wild type
2
2 (fn)
   Case 2
36
300T>G
 
36
300T>G
72
0
   Case 3
36
3875del4
 
34
3875del4
68
0
2
Wild type
2
2 (fn)
         
   Totals
216 alleles
212
4
Sensitivity
68+2+72+68+2/216

 

 

 

 

 

 

 

 

fn = false negative

American College of Medical Genetics/College of American Pathologists Table 2-7 summarizes the familial cancer testing (BRCA1/2 mutations) external proficiency testing results obtained by the American College of Medical Genetics and the College of American Pathologists (ACMG/CAP). Samples with known genotypes were distributed to participants in 2001 and 2002. The first column of the table contains the distribution label (e.g. MGL-07 indicates the 7th DNA sample distributed as part of the Molecular Genetics Laboratory Survey). The second column contains the number of participating laboratories, followed by the genotype of the sample. The number of laboratories reporting specific genotypes is then provided, along with a tabulation of their ‘correct' and ‘incorrect' responses. The table also contains the data used to compute the analytic sensitivity and specificity in a box, along with the yearly (and summary) totals.

Table 2-7. Computations for the ACMG/CAP Proficiency Testing Surveys

 
Reported Alleles
Distribution
Labs
Genotype
Correct
Incorrect
2001
  MGL-07
12
normal
 
12
normal
24
0
   MGL-08
12
normal
 
12
normal
24
0
   MGL-09
17
6174delT
 
17
6174delT
29*
0
         
   Totals
77 alleles
77
0
Sensitivity  
29/29
Specificity
(24 + 24)/(24 + 24)

 

 

 

 

 

 

 


* Five laboratories did not test the second allele when the mutation was identified in the first allele.

 
Reported Alleles
Distribution
Labs
Genotype
Correct
Incorrect
2002
  MGL3-04
11
normal
 
11
normal
22
0
   MGL3-05
11
normal
 
11
normal
22
0
   MGL3-06
11
6174delT
 
11
6174delT
22
0
         
   Totals
77 alleles
77
0
Sensitivity  
22/22
Specificity
(22 + 22)/(22 + 22)

Appendix B. Analytic Methodologies Used for BRCA1/2 Mutation Analysis

Testing Methods by U.S. Laboratories Table 2-8 lists categories of methodologies that are used to detect BRCA1/2 mutations by laboratories participating in proficiency testing programs in the United States (ACMG/CAP MGL Survey), along with the proportions using each method. Because many laboratories utilize “home brew” assays, these categories are not homogeneous.

Table 2-8. Testing Methods Utilized by US Laboratories, According to ACMG/CAP External Surveys
Testing Method
2001 (%)
2002 (%)
Total Number of Laboratories
17
11
Allele Specific Oligonucleotide (ASO)
23.5
25.0
DNA sequencing, automated
11.8
8.3
DNA sequencing, manual
5.9
0
DNA sequencing, automated & Allele-specific PCR/ARMS
5.9
0
Allele-specific PCR/ARMS
5.9
25.0
Restriction endonuclease digestion and electrophoresis for size analysis
5.9
0
Restriction endonuclease digestion and electrophoresis for size analysis & DNA sequencing, automated
5.9
25.0
Restriction endonuclease digestion and electrophoresis for size analysis & Allele-specific PCR/ARMS
5.9
0
Restriction endonuclease digestion and electrophoresis for size analysis & Mutation Scanning Methods (SSCP, dHPLC, etc.)
5.9
8.3
Other & DNA sequencing, automated
5.9
0
Other & Restriction endonuclease digestion and electrophoresis for size analysis
5.9
0
Other & Oligonucleotide ligation assay & Restriction endonuclease digestion and electrophoresis for size analysis & DNA sequencing, automated & Allele specific PCR/ARMS & Mutation scanning
5.9
0
Other
5.9
8.3

Testing Methods in the European Community Laboratories participating in the European Molecular Genetics Quality Network (EMQN) external proficiency testing schemes from 2000 through 2002 used a variety of methods to screen for mutations. Of the 296 samples analyzed during these years, the following methodologies were used: denaturing high performance liquid chromatography(73), denaturing gradient gel electrophoresis (40), protein truncation test (39). For 144 additional samples, either no details about methodology were given, or individual exotic techniques were used.

Page last reviewed: June 8, 2007 (archived document)
Page last updated: September 10, 2007
Content Source: National Office of Public Health Genomics