Abstract
Background:
The aim of this study was to investigate the status of BRCA1/2 genetic testing practices in Korea in 2014.
Methods:
A structured questionnaire was provided to the specialist in charge of BRCA1/2 genetic testing via e-mail between 28 July and 10 August 2015. A total of 11 genetic testing professionals from 14 organizations responded to the survey that asked about the status of BRCA1/2 genetic testing in the year 2014.
Results:
The average number of BRCA1/2 genetic tests executed was 192; 6 organizations had executed less than 100 tests, and 5 organizations had conducted more than 100 tests. The primary testing method used was Sanger sequencing (100%), and 2 institutes performed multiplex ligation-dependent probe amplification (MLPA). The analysis software differed across the various organizations, with Sequencher (81.81%), Seqscape (27.27%), and Codoncode Aligner (9.09%) reported as utilized. We found that the guidelines for the interpretation of the genetic tests were different at each institution.
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Table 1.
Questionnaires & Answer Options | Answer N (%) | ||
---|---|---|---|
1 | How many BRCA1/2 genetic tests were conducted at your institution in 2014? | ||
A. | <100 | 6 (54.55) | |
B. | ≥100 | 5 (45.45) | |
2 | What method(s) does your organization use to perform genetic testing?∗ | ||
A. | Sanger sequencing (direct sequencing of whole exons) | 11 (100.00) | |
B. | Multiplex ligation-dependent probe amplification (MLPA) | 2 (18.18) | |
C. | Mutation scanning | 0 (0) | |
D. | Pyrosequencing | 0 (0) | |
3 | What type of software does your organization use to analyze the genetic testing results?∗ | ||
A. | Sequencher | 9 (81.81) | |
B. | Seqscape | 3 (27.27) | |
C. | Seqscanner | 0 (0) | |
D. | Mutation surveyor | 0 (0) | |
E. | GENETYX | 0 (0) | |
F. | MT Navigator | 0 (0) | |
G. | CLC Genomics/Main workbench | 0 (0) | |
H. | Nextgene | 0 (0) | |
I. | Others (CodonCode Aligner) | 1 (9.09) | |
4 | What percentages of BRCA pathogenic variants and VUS detection (prevalence) rates did your institution have in 2014?∗∗ | ||
A. | Pathogenic variant mutation: _______% | 18.1 (mean) | |
B. | VUS: _______% | 20.5 (mean) | |
5 | Do you have any criteria for interpreting the results of the BRCA1/2 genetic tests at your institution?∗ | ||
A. | ACMG guideline | 9 (81.82) | |
B. | IARC guideline | 3 (27.27) | |
C. | Modified version of previous guideline | 3 (27.27) | |
D. | No | 0 (0) | |
6 | W | hat numbering system does your organization follow for the genetic test report? | |
A. | HGVS nomenclature | 8 (72.72) | |
B. | BIC nomenclature | 1 (9.09) | |
C. | HGVS nomenclature & BIC nomenclature | 2 (18.19) | |
7 | What kind of database does your organization utilize for the clinical interpretation of the pathogenic variants found from the results of the genetic tests?∗ | ||
A. | Human Gene Mutation Database (HGMD) | 11 (100.00) | |
B. | Breast Cancer Information Code (BIC) | 11 (100.00) | |
C. | ClinVar | 10 (90.91) | |
D. | DbSNP | 10 (90.91) | |
E. | Literature search | 8 (72.73) | |
F. | LOVD-IARC | 7 (63.64) | |
G. | Leiden Open Variation Database | 4 (36.36) | |
H. | Organization's own database | 3 (27.27) | |
I. | ARUP BRCA1/2 Mutation Database | 2 (18.18) | |
J. | Korean Breast Cancer Registry Database | 2 (18.18) | |
K. | BRCA1/2 Share | 0 (0) | |
8 | Based on the clinical significance of the pathogenic variants found from your genetic testing results, how many categories do you use and how do you name them?∗∗∗ | ||
A. | 3 | 11 (100.00) | |
B. | 5 | 0 (0) | |
C. | 6 | 0 (0) | |
9 | What type of clinical information is referenced when interpreting the genetic testing results?∗ | ||
A. | Family history | 8 (72.73) | |
B. | Age of cancer onset | 7 (63.64) | |
C. | Pathological result | 3 (27.27) | |
D. | Do not exploit references | 3 (27.27) | |
E. | Unilateral/bilateral | 1 (9.09) | |
10 | Do you consider the population frequency of the pathogenic variants obtained from genetic testing as an important factor? If so, what type of reference method do you use?∗ | ||
A. | 1000 Genome frequency | 6 (54.55) | |
B. | Racial (ethnicity) frequency | 6 (54.55) | |
C. | Korean frequency | 6 (54.55) | |
D. | Hapmap frequency | 5 (45.45) | |
E. | Not important | 2 (18.18) | |
11 | What criterion is used to decide common SNPs, when using the population frequency as a reference? What standard percentage is used for the allele frequency? | ||
A. | No criteria | 2 (18.18) | |
B. | DbSNP-common SNP | 3 (27.27) | |
C. | 1% | 5 (45.45) | |
D. | 5% | 1 (9.09) | |
12 | How do you report pathogenic variants that have already been identified in existing papers or listed in the pathogenic variant database? | ||
A. | Always report as a pathogenic variant | 2 (18.18) | |
B. | Additional review and classified as VUS if unclassified/unclear result | 9 (81.82) | |
13 | Do you report the degree of risk based on the genetic testing results? | ||
A. | No | 7 (63.64) | |
B. | Increasing risk level/normal range | 4 (36.36) | |
C. | Calculation of risk value | 0 (0) | |
14 | What analytical tool do you use to perform the in-silico analysis regarding a VUS?∗ | ||
A. | PolyPhen-2 | 11 (100.00) | |
B. | SIFT | 10 (90.91) | |
C. | Align-GVGD | 6 (54.55) | |
D. | Splicing analysis | 4 (36.36) | |
E. | Mutation Taster | 3 (27.27) | |
F. | FATHMN | 1 (9.09) | |
G. | Mutation Assessor | 0 (0) | |
H. | GERP++ | 0 (0) | |
I. | No in-silico analysis | 0 (0) | |
15 | If you performed an in-silico analysis, do you indicate this method in the results report? | ||
A. | Yes | 8 (72.73) | |
B. | No | 3 (27.27) | |
16 | How do you interpret the synonymous variation derived from a VUS observed in the genetic test results? | ||
A. | All negative | 2 (18.18) | |
B. | All VUS | 0 (0) | |
C. | VUS and additional statement of a low possibility of a pathogenic variant | 3 (27.27) | |
D. | VUS based on population frequency, in-silico study, and references | 5 (45.45) | |
E. | No case of VUS, synonymous | 1 (9.09) | |
17 | How do you interpret the MISSENSE VARIATION derived from a VUS observed in the genetic test results? | ||
A. | All positive | 0 (0) | |
B. | All VUS | 0 (0) | |
C. | VUS based on population frequency, in-silico study, and references | 10 (90.91) | |
D. | VUS-based, but provide objective evidence, such as population frequency, in-silico study, and literature reports for clinician determination. | 1 (9.09) | |
18 | How do you interpret INTRONIC VARIATION other than the splice site of VUS observed in the genetic test results? | ||
A. | All positive | 0 (0) | |
B. | All VUS | 0 (0) | |
C. | VUS and additional statement of a low possibility of a pathogenic variant | 5 (45.45) | |
D. | VUS based on population frequency, in-silico study, and references | 5 (45.45) | |
E. | Additional RNA studies | 1 (9.09) | |
19 | If you find any pathogenic variants that are unclear based on your clinical judgement, do you recommend testing for the patient's family? | ||
A. | Yes | 8 (72.73) | |
B. | No | 3 (27.27) | |
20 | Do | o you consider the prerequisite of the 5-step reporting system for a VUS? | |
A. | Yes | 0 (0) | |
B. | Yes, but it is not practical | 8 (72.73) | |
C. | Yes, if it is necessary in clinical practice | 3 (27.27) | |
D. | No | 0 (0) | |
21 | Are you willing to follow the Korean version of standardization and guidelines for BRCA1/2 genetic testing in the future? | ||
A. | Yes | 6 (54.55) | |
B. | Yes, if it is practical in a clinical setting | 5 (45.45) | |
C. | Not yet | 0 (0) | |
22 | What do you think is indispensable for the standardized interpretation of BRCA1/2 genetic test results in Korean clinical practice?∗ | ||
A. | Korean polymorphism database | 11 (100.00) | |
B. | Functional study database | 8 (72.73) | |
C. | Objective criteria of interpretation | 11 (100.00) |
Table 2.
(%) | A | B | C | D | E | F | G | H | I | J | K |
---|---|---|---|---|---|---|---|---|---|---|---|
Pathogenic variant | 17 | 15 | 20.9 | 14.8 | 18 | 32/8.3∗ | 20 | 22 | 5 | 10 | 16 |
VUS | 29 | 30 | 9 | 29.6 | 14 | 0 | 42.5 | 18 | 10 | 10 | 33 |
Table 3.
A | B | C | D | E | F | G | H | I | J | K | |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Polymorphism | Detected | Benign | Benign variant | No pathogenic variant detected | Benign variant | Polymorphism | Polymorphism | Pathogenic variant | Benign variant | Benign |
2 | Unclassified variant | VOUS∗ detected | VUS∗ | Variant of uncertain significance | Variant of uncertain significance | Variant of uncertain significance | Variant of uncertain significance | Unclassified Variant | Unclassified Variant | Variant of uncertain significance | VUS∗ |
3 | Pathogenic variant | Not detected | Pathogenic variant | Pathogenic variant | Pathogenic variant detected | Pathogenic variant | Pathogenic variant | Pathogenic variant | Polymorphism | Pathogenic variant | Pathogenic |