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Rapid detection of carriers with BRCA1 and BRCA2mutations using high resolution melting analysis
© Takano et al; licensee BioMed Central Ltd. 2008
Received: 09 November 2007
Accepted: 25 February 2008
Published: 25 February 2008
Germline inactivating mutations in BRCA1 and BRCA2 underlie a major proportion of the inherited predisposition to breast and ovarian cancer. These mutations are usually detected by DNA sequencing. Cost-effective and rapid methods to screen for these mutations would enable the extension of mutation testing to a broader population. High resolution melting (HRM) analysis is a rapid screening methodology with very low false negative rates. We therefore evaluated the use of HRM as a mutation scanning tool using, as a proof of principle, the three recurrent BRCA1 and BRCA2 founder mutations in the Ashkenazi Jewish population in addition to other mutations that occur in the same regions.
We designed PCR amplicons for HRM scanning of BRCA1 exons 2 and 20 (carrying the founder mutations185delAG and 5382insC respectively) and the part of the BRCA2 exon 11 carrying the 6174delT founder mutation. The analysis was performed on an HRM-enabled real time PCR machine.
We tested DNA from the peripheral blood of 29 individuals heterozygous for known mutations. All the Ashkenazi founder mutations were readily identified. Other mutations in each region that were also readily detected included the recently identified Greek founder mutation 5331G>A in exon 20 of BRCA1. Each mutation had a reproducible melting profile.
HRM is a simple and rapid scanning method for known and unknown BRCA1 and BRCA2 germline mutations that can dramatically reduce the amount of sequencing required and reduce the turnaround time for mutation screening and testing. In some cases, such as tracking mutations through pedigrees, sequencing may only be necessary to confirm positive results. This methodology will allow for the economical screening of founder mutations not only in people of Ashkenazi Jewish ancestry but also in other populations with founder mutations such as Central and Eastern Europeans (BRCA1 5382insC) and Greek Europeans (BRCA1 5331G>A).
BRCA1 and BRCA2 are the two most frequently mutated genes underlying inherited breast and ovarian cancer. As both are large multi-exon genes, with inactivating mutations occurring across the entire coding region, the consequent cost of BRCA1/2 mutation screening has limited mutation testing to those who are most likely to have a mutation based on their family history of cancer. Consequently, a significant proportion of women carrying germline mutations are missing out on the opportunity to have mutation screening and thereby to modify their risk of breast cancer, particularly those with a small pedigree structure or where the inheritance is through the paternal lineage. The costs of full sequencing are reducing, but it will be some years before they drop significantly enough to have a serious impact on the numbers of genetic tests provided by scarce health dollars. In the meantime, an alternative approach is to use a mutation scanning technique to highlight variations in genomic sequences which are then characterised by sequencing.
High resolution melting (HRM) is a new methodology for mutation scanning in which the mutation scanning is carried out in the same tube or well in which the sequence is amplified (reviewed in ). The PCR reactions and HRM can all be performed in a single run of less than 2 hours resulting in extremely rapid screening. Up to 384 scans (generally 192 samples in duplicate) can be done at the same time enabling very high throughput.
We selected several regions of the BRCA1 and BRCA2 genes known to carry a number of founder mutations in order to investigate the ability of HRM for reliable detection of both known founder mutations and other mutations occurring in close proximity to those founder mutations. Founder mutations are specific mutations found at high frequency in a particular population as a result of geographic, cultural or ethnic isolation. Individuals of Ashkenazi Jewish ancestry have a particularly high carrier rate for three mutations predisposing to the hereditary breast and ovarian cancer syndrome: the 185delAG and the 5382insC in BRCA1 and the 6174delT in BRCA2 with a population prevalence of approximately 2.5% [2–4]. The 5382insC in exon 20 of BRCA1 is also one of the most common recurrent mutations in Central and Eastern Europeans [5–9]. This exon also contains the 5331G>A BRCA1 mutation recently shown to be a founder mutation in Greek Europeans .
Samples from 29 carriers of known mutations in one of the regions of the BRCA1 and BRCA2 genes that contain the Ashkenazi founder mutations were obtained from existing samples in the Diagnostic Molecular Pathology laboratory at the Peter MacCallum Cancer Centre. Up to five biological replicate samples (i.e separate individuals) were chosen for each mutation. The study was performed under guidelines approved by the Peter MacCallum Ethics of Human Research Committee (approval 03/90).
HRM Assay Conditions
List of primers used to amplify BRCA1 exon 2, BRCA1 exon 20 and part of BRCA2 exon11.
PCR and HRM Assay Conditions
The PCR and HRM were performed in a single run on a LightCycler 480 (Roche Diagnostics, Penzberg, Germany) in a reaction mix containing 2.5 μl (25 ng) of genomic DNA, either 400 nM (exon 2 and exon 11) or 200 nM (exon 20) of each primer and 3 mM MgCl2 in the LightCycler® 480 High Resolution Melting Master containing ResoLight dye (Roche Diagnostics) with PCR grade water adjusted to a total volume of 10 μl. The reaction condition included an activation step at 95°C for 10 minutes followed by 55 cycles of 95°C for 10 seconds, a touch down of 65°C to 55°C for 10 seconds (1°C/cycle) and 72°C for 30 seconds. Before the high resolution melting step the products were heated to 95°C for 1 minute. The HRM was carried out over the range from 72°C to 95°C rising at 1°C per second with 30 acquisitions per degree. All reactions were performed in duplicate in a 96-well microtiter plate.
Upon completion of the run (approximately 2 hours), HRM curve analysis was performed using the LightCycler 480 Software version 1.3. supplied with the LightCycler 480. The melting curves were normalised and temperature shifted to allow samples to be directly compared. Difference plots were generated by selecting a negative control, converting the melting profile to a horizontal line and normalising the melting profiles of the other samples against this sample Significant differences in fluorescence from the horizontal baseline were indicative of mutations. Differences were judged as significant if the replicates fell outside the range of variation seen in the wild type samples.
List of mutations tested
Number of samples
Number of samples
Number of samples
Similarly for the amplicon including BRCA1 exon 20 (Figure 1b) and for the amplicon including the region around the 6174delT mutation in BRCA2 exon 11 (Figure 1c), all the mutations were readily identified, displayed characteristic melting curves and were clearly differentiated from the wild type and from each other. The mutations tested in addition to the 5382insC (6 individuals) were the 5396+1G>A (4 individuals) and the 5331G>A (5 individuals). The mutations tested in addition to the 6174delT (3 individuals) were the 6024delTA (2 individuals) and the 6293C>G (2 individuals). Biological replicates again had near identical melting patterns.
DNA sequencing is regarded as the gold standard for BRCA1 and BRCA2 mutation detection. However, in practice, most testing laboratories perform a preliminary scan of exons and splice junctions using methods such as the protein truncation test (PTT), denaturing gradient gel electrophoresis (DGGE) and/or denaturing high pressure liquid chromatography (DHPLC) to reduce cost and increase throughput. Any region that is found to potentially contain a mutation by scanning is then characterised by sequencing.
Scanning methods are particularly relevant to studies involving large numbers of individuals. A recent Canadian study  used a combination of PTT, DGGE and DHPLC to scan the BRCA1 and BRCA2 genes, followed by DNA sequencing to screen for BRCA1 and BRCA2 mutations. Although very sensitive, PTT, DGGE and DHPLC do not detect all mutations. In particular, PTT, which is used for screening of the large exons comprising approximately half of the total sequence of the BRCA1 and BRCA2 genes, does not detect missense alterations. Both DHPLC and DGGE are both operator and interpreter sensitive. It has been shown that DHPLC, which is currently considered as the gold standard of screening methods, is superior to DGGE for the detection of BRCA1 and BRCA2 mutations .
HRM is an in-well scanning method in which the melting analysis is performed immediately after the PCR amplification and is thus particularly suitable for high-throughput applications. HRM is predicted to have close to a 100% sensitivity as each heterozygous mutation should create a readily detected heteroduplex . Heterozygotes are readily recognisable by HRM because they form a proportion of heteroduplexes which melt differently to perfectly matched homoduplexes. The use of HRM to detect both known and novel germline mutations has been reported for several other genes including the EXT1, EXT2, RET, GJB1 and CFTR genes [18–21]. All germline mutations in the BRCA1 and BRCA2 genes are expected to occur in heterozygotes as mutant homozygotes are lethal  and consistent with this, none have been reported.
A comparative study has recently shown that the sensitivity and specificity of HRM is better than DHPLC which is the current gold standard of scanning methods . In addition, HRM is more rapid as the melting analysis is performed in all wells simultaneously whereas DHPLC involves the removal of the PCR product (in itself problematical because of the PCR contamination issue) and then the sequential analysis of each sample. The instrumentation for DHPLC is more expensive and the analysis generates chemical waste which requires disposal. There are therefore significant time and cost advantages in adopting HRM.
In our hands, all the different mutations in the 3 regions that we analysed from the BRCA1 and BRCA2 genes were detected, giving us a sensitivity of 100% in this pilot study. The true sensitivity remains to be determined in a larger study, but publications for other genes indicate that it is likely to be very high [14, 17]. A larger study is currently underway in our lab testing several hundred known mutations in historic samples across all BRCA1 and BRCA2 coding regions in combination with the screening of prospectively collected diagnostic samples. This will provide further insight into the true sensitivity of HRM and applicability of the method for mutation scanning of the entire coding regions of BRCA1 and BRCA2.
Currently, the three founder mutations associated with Ashkenazi Jewish ancestry are generally identified using sequencing and, once a mutation is identified in a family, other family members can undergo predictive testing by sequencing for the exon in which the mutation was identified. However, as the frequency of the three founder mutations is relatively high, it is possible that a second mutation might be segregating in the family and so ideally all founder mutations should be sought in other family members. HRM would allow testing for all three Ashkenazi mutations in family members at relatively low cost. The testing would also enable inexpensive population-based screening of individuals with Jewish ancestry for the founder mutations.
We also detected the 5331G>A mutation in BRCA1 exon 20 that has recently been shown to be a Greek founder mutation . Large scale screening for this founder mutation can now be undertaken in relevant populations. A similar approach can be applied to other founder mutations in regions not screened for in this study. The ability to detect mutations by HRM alone has implications for economical large scale population screening studies to understand the prevalence and characteristics of other known or suspected founder mutations.
HRM can also be used as an inexpensive methodology for tracking mutations across pedigrees. Each mutation had a characteristic melting profile that would allow it to be identified by using a control for that mutation. In some cases, this would remove the necessity for sequencing. However, for diagnostic purposes, any apparently mutation positive individual should be confirmed by sequencing as different mutations can also have similar profiles.
Dufresne and colleagues  reported the use of melt curve analysis for the specific detection of the Ashkenazi mutations using SYBR Green 1 incorporation as monitored by a standard real time PCR machine. This approach is melting analysis rather then the high resolution melting (HRM) we have used here. Whereas their methodology is capable of detecting known mutations such as the Ashkenazi mutations by designing primers flanking those mutations, our methodology is an essentially different and more powerful methodology which is designed primarily as a screening methodology. We used an appropriate dye for high resolution melting, an HRM enabled real time PCR machine (only recently available) and software that allows HRM analysis to be performed. The greater sensitivity of HRM allowed longer amplicons to be used (534 base pairs was successfully used for the region surrounding the 6174delT mutation) which allows for the screening of unknown mutations as we have demonstrated. Thus by examining extra, non-founder mutations in close proximity to the founder mutations we show that this method easily detects missense mutations as well as small insertions and deletions. Interestingly, the missense mutation heterozygotes melt earlier than some of the deletion/insertion heterozygotes; the 6174delT initially being more stable than even the wildtype.
Based on our current findings, we are confident that HRM for mutation detection will prove superior to the current germline mutation screening approaches in terms of speed, and cost and give at least equivalent sensitivity. HRM is the most rapid of the current screening methods as the only set-up involved is the PCR amplification, up to 384 reactions can be tested in the one run for a given amplicon and the results can be rapidly scanned by a technician. Consequently, HRM is the least expensive of the current screening methods as the only consumables cost involved is the PCR amplification with a HRM dye and the reaction vessels while the rapid scanning reduces labour costs. Consequently, we believe that HRM may become the method of choice for BRCA1 and BRCA2 mutation screening in both the diagnostic and research settings.
This study demonstrates the use of HRM as a method to scan for the common germline BRCA1 and BRCA2 mutations such as those seen in Ashkenazi Jewish individuals. It also demonstrates the potential of this method for screening the BRCA1 and BRCA2 genes as every mutation tested for was readily detected. Whereas, the use of HRM for full screening of the BRCA1 and BRCA2 still needs to be verified by sequencing, screening for the Ashkenazi founder mutations (or other founder mutations) can now be carried out by laboratories with access to the increasingly available high resolution melting platform. The method is sensitive, rapid and cost effective and will markedly reduce the amount of sequencing required in mutational studies of BRCA1 and BRCA2, and thereby the time and cost required for these studies.
We would like to thank Sergei Kovalenko and Victoria Girgis for the supply of and the sequence information for the DNA samples. Michael Krypuy, Graham Giles and Chelsee Hewitt critically read the manuscript. This work was supported by grants to Alex Dobrovic from the National Health and Medical Research Council, SF from the Victorian Breast Cancer Research Consortium and to SF, GM and AD from the Victorian Government Division of Health Services.
- Reed GH, Kent JO, Wittwer CT: High-resolution DNA melting analysis for simple and efficient molecular diagnostics. Pharmacogenomics. 2007, 8 (6): 597-608. 10.2217/146224184.108.40.2067.View ArticlePubMedGoogle Scholar
- Struewing JP, Abeliovich D, Peretz T, Avishai N, Kaback MM, Collins FS, Brody LC: The carrier frequency of the BRCA1 185delAG mutation is approximately 1 percent in Ashkenazi Jewish individuals. Nat Genet. 1995, 11 (2): 198-200. 10.1038/ng1095-198.View ArticlePubMedGoogle Scholar
- Neuhausen S, Gilewski T, Norton L, Tran T, McGuire P, Swensen J, Hampel H, Borgen P, Brown K, Skolnick M, Shattuck-Eidens D, Jhanwar S, Goldgar D, Offit K: Recurrent BRCA2 6174delT mutations in Ashkenazi Jewish women affected by breast cancer. Nat Genet. 1996, 13 (1): 126-128. 10.1038/ng0596-126.View ArticlePubMedGoogle Scholar
- Roa BB, Boyd AA, Volcik K, Richards CS: Ashkenazi Jewish population frequencies for common mutations in BRCA1 and BRCA2. Nat Genet. 1996, 14 (2): 185-187. 10.1038/ng1096-185.View ArticlePubMedGoogle Scholar
- Gorski B, Byrski T, Huzarski T, Jakubowska A, Menkiszak J, Gronwald J, Pluzanska A, Bebenek M, Fischer-Maliszewska L, Grzybowska E, Narod SA, Lubinski J: Founder mutations in the BRCA1 gene in Polish families with breast-ovarian cancer. Am J Hum Genet. 2000, 66 (6): 1963-1968. 10.1086/302922.View ArticlePubMedPubMed CentralGoogle Scholar
- Tereschenko IV, Basham VM, Ponder BA, Pharoah PD: BRCA1 and BRCA2 mutations in Russian familial breast cancer. Hum Mutat. 2002, 19 (2): 184-10.1002/humu.9008.View ArticlePubMedGoogle Scholar
- Backe J, Hofferbert S, Skawran B, Dork T, Stuhrmann M, Karstens JH, Untch M, Meindl A, Burgemeister R, Chang-Claude J, Weber BH: Frequency of BRCA1 mutation 5382insC in German breast cancer patients. Gynecol Oncol. 1999, 72 (3): 402-406. 10.1006/gyno.1998.5270.View ArticlePubMedGoogle Scholar
- Konstantopoulou I, Kroupis C, Ladopoulou A, Pantazidis A, Boumba D, Lianidou ES, Petersen MB, Florentin L, Chiotellis E, Nounesis G, Efstathiou E, Skarlos D, Tsionou C, Fountzilas G, Yannoukakos D: BRCA1 mutation analysis in breast/ovarian cancer families from Greece. Hum Mutat. 2000, 16 (3): 272-273. 10.1002/1098-1004(200009)16:3<272::AID-HUMU17>3.0.CO;2-4.View ArticlePubMedGoogle Scholar
- Machackova E, Foretova L, Navratilova M, Valik D, Claes K, Messiaen L: A high occurrence of BRCA1 and BRCA2 mutations among Czech hereditary breast and breast-ovarian cancer families. Cas Lek Cesk. 2000, 139 (20): 635-637.PubMedGoogle Scholar
- Anagnostopoulos T, Pertesi M, Konstantopoulou I, Armaou S, Kamakari S, Nasioulas G, Athanasiou A, Dobrovic A, Young MA, Goldgar D, Fountzilas G, Yannoukakos D: G1738R is a BRCA1 founder mutation in Greek breast/ovarian cancer patients: evaluation of its pathogenicity and inferences on its genealogical history. Breast Cancer Res Treat. 2007Google Scholar
- Solano AR, Dourisboure RJ, Weitzel J, Podesta EJ: A cautionary note: false homozygosity for BRCA2 6174delT mutation resulting from a single nucleotide polymorphism masking the wt allele. Eur J Hum Genet. 2002, 10 (6): 395-397. 10.1038/sj.ejhg.5200821.View ArticlePubMedGoogle Scholar
- Krypuy M, Newnham GM, Thomas DM, Conron M, Dobrovic A: High resolution melting analysis for the rapid and sensitive detection of mutations in clinical samples: KRAS codon 12 and 13 mutations in non-small cell lung cancer. BMC Cancer. 2006, 6: 295-10.1186/1471-2407-6-295.View ArticlePubMedPubMed CentralGoogle Scholar
- Krypuy M, Ahmed AA, Etemadmoghadam D, Hyland SJ, DeFazio A, Fox SB, Brenton JD, Bowtell DD, Dobrovic A: High resolution melting for mutation scanning of TP53 exons 5-8. BMC Cancer. 2007, 7: 168-10.1186/1471-2407-7-168.View ArticlePubMedPubMed CentralGoogle Scholar
- Risch HA, McLaughlin JR, Cole DE, Rosen B, Bradley L, Fan I, Tang J, Li S, Zhang S, Shaw PA, Narod SA: Population BRCA1 and BRCA2 mutation frequencies and cancer penetrances: a kin-cohort study in Ontario, Canada. J Natl Cancer Inst. 2006, 98 (23): 1694-1706.View ArticlePubMedGoogle Scholar
- Wagner T, Stoppa-Lyonnet D, Fleischmann E, Muhr D, Pages S, Sandberg T, Caux V, Moeslinger R, Langbauer G, Borg A, Oefner P: Denaturing high-performance liquid chromatography detects reliably BRCA1 and BRCA2 mutations. Genomics. 1999, 62 (3): 369-376. 10.1006/geno.1999.6026.View ArticlePubMedGoogle Scholar
- Chou LS, Lyon E, Wittwer CT: A comparison of high-resolution melting analysis with denaturing high-performance liquid chromatography for mutation scanning: cystic fibrosis transmembrane conductance regulator gene as a model. Am J Clin Pathol. 2005, 124 (3): 330-338. 10.1309/BF3M-LJN8-J527-MWQY.View ArticlePubMedGoogle Scholar
- Lonie L, Porter DE, Fraser M, Cole T, Wise C, Yates L, Wakeling E, Blair E, Morava E, Monaco AP, Ragoussis J: Determination of the mutation spectrum of the EXT1/EXT2 genes in British Caucasian patients with multiple osteochondromas, and exclusion of six candidate genes in EXT negative cases. Hum Mutat. 2006, 27 (11): 1160-10.1002/humu.9467.View ArticlePubMedGoogle Scholar
- Margraf RL, Mao R, Highsmith WE, Holtegaard LM, Wittwer CT: Mutation scanning of the RET protooncogene using high-resolution melting analysis. Clin Chem. 2006, 52 (1): 138-141. 10.1373/clinchem.2005.052951.View ArticlePubMedGoogle Scholar
- Kennerson ML, Warburton T, Nelis E, Brewer M, Polly P, De Jonghe P, Timmerman V, Nicholson GA: Mutation scanning the GJB1 gene with high-resolution melting analysis: implications for mutation scanning of genes for Charcot-Marie-Tooth disease. Clin Chem. 2007, 53 (2): 349-352. 10.1373/clinchem.2006.080010.View ArticlePubMedGoogle Scholar
- Montgomery J, Wittwer CT, Kent JO, Zhou L: Scanning the cystic fibrosis transmembrane conductance regulator gene using high-resolution DNA melting analysis. Clin Chem. 2007, 53 (11): 1891-1898. 10.1373/clinchem.2007.092361.View ArticlePubMedGoogle Scholar
- Gowen LC, Johnson BL, Latour AM, Sulik KK, Koller BH: Brca1 deficiency results in early embryonic lethality characterized by neuroepithelial abnormalities. Nat Genet. 1996, 12 (2): 191-194. 10.1038/ng0296-191.View ArticlePubMedGoogle Scholar
- Dufresne SD, Belloni DR, Wells WA, Tsongalis GJ: BRCA1 and BRCA2 mutation screening using SmartCycler II high-resolution melt curve analysis. Arch Pathol Lab Med. 2006, 130 (2): 185-187.PubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/8/59/prepub
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