Abstract
Preimplantation genetic diagnosis (PGD) refers to a procedure for genetically analyzing embryos prior to implantation, improving the chance of conception for patients at high risk of transmitting specific inherited disorders. This method has been widely used for a large number of genetic disorders since the first successful application in the early 1990s. Polymerase chain reaction (PCR) and fluorescent in situ hybridization (FISH) are the two main methods in PGD, but there are some inevitable shortcomings limiting the scope of genetic diagnosis. Fortunately, different whole genome amplification (WGA) techniques have been developed to overcome these problems. Sufficient DNA can be amplified and multiple tasks which need abundant DNA can be performed. Moreover, WGA products can be analyzed as a template for multi-loci and multi-gene during the subsequent DNA analysis. In this review, we will focus on the currently available WGA techniques and their applications, as well as the new technical trends from WGA products.
Keywords: Whole genome amplification, Multiple displacement amplification, Primer extension preamplification, Degenerate oligonucleotide primed-polymerase chain reaction, Preimplantation genetic diagnosis
1. Introduction
Preimplantation genetic diagnosis (PGD) is a technique that allows one to identify genetic defects in embryos created through in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI). It refers to a laboratory procedure to diagnostically analyze polar body, single blastomere, and blastocyst from biopsied embryos before the embryos are transferred, allowing the selection of normal embryos for transfer (Ouhibi et al., 2001; Harper et al., 2009). PGD can be used for detecting at-risk couples who have already had a child with a genetic defect or whose family has a history of specific inherited disorders such as single gene defects and chromosomal abnormalities (Thornhill et al., 2005). The purpose of PGD is to improve the chance of conception for patients with genetic abnormalities, and to make it likely that their offspring will not suffer from the genetic defect carried by the family. In so doing, one avoids the moral or ethical dilemmas which arise from the termination of the pregnancy once it has begun. Handyside et al. (1989; 1990) were early pioneers in diagnosis of genetic diseases in human preimplantation embryos. Since then, PGD has been practiced widely throughout the world.
Polymerase chain reaction (PCR) and fluorescent in situ hybridization (FISH) are the two most commonly used methods in PGD for many IVF/ICSI laboratories (Thornhill and Snow, 2002). Although these methods have many advantages, there are still some limitations, such as providing very limited DNA fragments or genetic information among chromosome regions, only a few chromosomes can be detected simultaneously by FISH, and these cannot meet the needs of whole genome research (Wells, 2004; Wilton, 2005). The limitations have encouraged the development of more comprehensive techniques for genetic testing. Most researches in PGD are focused on new methods of single cell analysis, as well as improving current methods of PCR. For instance, nested PCR, multiplex PCR, and fluorescent PCR have been developed to reduce the disadvantages of conventional PCR (Findlay et al., 1995; Sermon, 2002; Malcov et al., 2007). However, the products from these methods are not yet available for whole genome research studies and the yields are limited.
Whole genome amplification (WGA) is one approach designed to overcome these problems (Handyside et al., 2004). This technique would amplify the entire genome from a cell up to microgram level, and consider the original sequence representation. Sufficient DNA can be amplified, allowing diagnosis of any known single gene defect that would have been impossible otherwise (Silander and Saarela, 2008), and multiple tasks which need abundant DNA can be performed from WGA products. Moreover, the WGA products can be analyzed as a template for multi-loci, multi-gene, and genome research during the subsequent DNA analysis.
An early approach for amplifying large fragments of a genome was to use primers directed at human Alu repeat element, providing a simple method for the isolation and analysis of specific chromosomal regions (Nelson et al., 1989). Because of the highly uneven distribution of Alu sequence in the human genome and the variable number of repetitions, this protocol cannot be used reliably in conjunction with molecular analysis of single cells (Wells et al., 1999). Later, several other methods have been developed to amplify the whole genome. In 1992, Zhang et al. (1992) first used the primer extension preamplification (PEP) protocol for haplotyping of a single sperm cell. In the same year, degenerate oligonucleotide primed-PCR (DOP-PCR) was first described by Telenius et al. (1992) as a method for genome mapping studies. From then on, the two protocols have been often used as a part of WGA in PGD. Dean et al. (2002) used multiple displacement amplification (MDA) in PGD with great expectations. This is an ideal non-PCR-based method that may reduce the limitations of PCR-based WGA techniques, such as generation of relatively short DNA fragments and a high possibility of mutation introduction into the products (Peng et al., 2007). In this paper, we will review several currently available methods of WGA and their applications, and some new strategies from WGA products will be discussed as well.
2. Different methods of whole genome amplification
2.1. Primer extension preamplification
PEP involves PCR cycling and the use of Taq polymerase, a 15-base random oligonucleotide primer which is made up of 415 (1×109) different sequences is included as well, and this facilitates the sequence-independent amplification of any sequence within the genome (Zhang et al., 1992). Unlike the conventional PCR, following denaturation, the primers are put at a low temperature (37 °C) to anneal to the DNA genomic template, and then the temperature increases slowly to 55 °C followed by a 4-min elongation step at 55 °C. At the low annealing and denaturing temperatures, the primers will nonspecifically combine with the DNA template, also including the products that are needed. Thus, these reproducible products will be easily parted during the following procedure. It is estimated that approximately 96% of the genome can be amplified at least 1000 times (Paunio et al., 1996). With this method, it is much more convenient to detect variance of different loci in PGD.
β-thalassemia is caused by any one of more than 200 point mutations or sometimes by deletions (Rund and Rachmilewitz, 2005). Such molecular heterogeneity requires a diagnostic strategy, not only to detect a range of mutations, but also to compound genotypes. Jiao et al. (2003) developed a strategy that involved PEP, followed by nested PCR and reverse dot blot (RDB) for simultaneous detection of more than one mutation in PEP products. This resulted in the thalassemia-free children being born (Jiao et al., 2003). PEP has also been clinically applied to the PGD of familial adenomatous polyposis coli (FAPC) (Ao et al., 1998), the approach was then followed by nested PCR, and it was used for amplifying two adenomatous polyposis coli (APC) fragments, i.e., an APC mutation site and an informative polymorphism. Both were detected by simultaneous single-strand conformation polymorphism and heteroduplex analysis. After transferring the unaffected embryo, no pregnancy resulted. Our research group had used single cell PEP-PCR for dystrophin exons 8, 17, 19, 44, 45, and 48, and human testis-determining gene (Sex-Determining Region Y, SRY), and the results showed that this method could successfully cover the six dystrophin exons and determine the sex simultaneously with a high sensitivity (Xu et al., 2001).
In order to meet the clinical needs, a shorter PEP protocol has been developed, reducing the time required from >14 h to 5.5 h (Sermon et al., 1996), while the efficiency in amplifying different sequences in a single cell is retained. Furthermore, the PEP protocol has been modified and improved (improved-PEP, I-PEP), and has been shown to have an increased efficiency of amplification compared with PEP (Dietmaier et al., 1999). Cystic fibrosis (CF) is an autosomal recessive disorder caused by mutations in the CF transmembrane conductance regulator (CFTR) gene, leading to defective ion transport in the conducting pulmonary airways and exocrine glands (Mueller and Flotte, 2008). More than 1 500 mutations have been described (Jonsdottir et al., 2008). Because of so many variant phenotypes in CF, it is important to detect as many of the mutations as possible during the single procedure in PGD. Sánchez-García et al. (2005) have developed an advanced method that can identify quite a few different mutations in single cells. A multiplex PCR and a fluorescent oligonucleotide ligation assay (OLA) were used for the identification of normal and mutant loci, and the results showed that 29 normal loci and the 31 most frequent CFTR mutations could be detected at the same time. In addition, I-PEP product appears to have higher specificity than MDA, particularly in the analysis of microsatellite loci (Sun et al., 2005).
However, the amplification bias, that varies from a low of 102 to a high of 104 (Paunio et al., 1996; Dean et al., 2002), and the existence of amplified fragments >1 500 bp in length that cannot be demonstrated in PEP (Wells et al., 1999) have discouraged the broad implementation of this method in PGD.
2.2. Degenerate oligonucleotide primed-polymerase chain reaction
Another method for WGA is DOP-PCR which has been widely accepted, and it is a technically straightforward WGA method. Unlike PEP, DOP-PCR uses a partially degenerate primer which binds at many sites throughout the genome during several low-temperature annealing cycles. Then more specific priming at the fragments will be generated by increasing the annealing temperature. The starting template DNA of DOP-PCR can be as little as 15 pg or as much as 400 ng, and the quantity of DNA products is much greater than that of PEP (Wells et al., 1999; Peng et al., 2007).
The major advantage of this technique is that it can produce sufficient amplified products from single cells for use in comparative genomic hybridization (CGH) (Wells et al., 2002; Wilton, 2005), which requires 100 ng to 1 μg of test DNA, equivalent to more than 10 000 cells (Harper and Wells, 1999; Wells and Levy, 2003). Voullaire et al. (1999) reported that it was possible to use CGH with DOP-PCR amplified DNA for the diagnosis of chromosomal aneuploidy in single cells. And later, the same research group successfully detected chromosome abnormality by using CGH in embryos in women with repeated implantation failure following IVF (Voullaire et al., 2002). However, the non-random DOP-PCR amplification had greatly influenced the accuracy of CGH, and we found that this phenomenon could be corrected by selecting the normal single cell DOP-PCR product as a reference (Jin et al., 2000).
DOP-PCR generates relatively short products, which is the same as PEP (Telenius et al., 1992). Luckily, new methods have been described to generate long amplification sequences. Products from LL-DOP-PCR (long products from low DNA quantities) protocol can range from 0.5 kb to >10 kb (Kittler et al., 2002). This was achieved by the 3′-5′ exonuclease proofreading activity of DNA polymerase Pwo and an increased annealing and extension time during DOP-PCR. In comparison with the conventional DOP-PCR method, it provides significantly better coverage for microsatellites and unique sequences.
Recently, a modification of the traditional DOP-PCR reaction (dcDOP-PCR), including the use of a more degenerate primer (10 nucleotides) and 12 nonspecific cycles, was developed by Bonnette et al. (2009). In this protocol, the longer amplification products were generated by additional proofreading enzymes; thus, increasing the genome coverage of the reaction. This gave an approximately 45% increase in the number of detected short tandem repeat (STR) alleles when compared with traditional DOP-PCR (P=0.0003), and a nearly 34% increase when compared with traditional STR testing without WGA (P<0.0001). Further, allele dropout (ADO) was not observed in dcDOP-PCR products. However, there are not many studies in PGD with dcDOP-PCR, and more studies are needed.
2.3. Multiple displacement amplification
One of the most exciting developments in WGA methods is MDA, which has been the evolution of protocols designed for high performance. Depending on the use of MDA, the amount of the MDA product can reach the microgram level (1 000 000 times more than that of single cell DNA) (Hellani et al., 2004). Since MDA appears to be an important technical breakthrough in the utilization of WGA methods, this method will be discussed in detail.
Principles of this technique are as follows: the random hexamers anneal to the single stranded target molecule. As the DNA polymerase elongates the primer, the upstream DNA strands are displaced, which can serve as templates for new priming events. These displaced DNA strands result in primer elongation in the opposite direction. The reaction of MDA continues, and new templates and a hyperbranched structure are produced by these new DNA strands, generating a great amount of copies of the target molecule (Lovmar and Syvänen, 2006). This reaction can be catalyzed by the φ29 DNA polymerase or by the large fragment of the Bst DNA polymerase. However, φ29 DNA polymerase is preferred over Bst DNA polymerases on account of the high efficiency and the low error rate (Spits et al., 2006). It was reported that the error rate of φ29 DNA polymerase was 100 times lower than that of Taq polymerase. φ29 DNA polymerase used for MDA has an error rate of 1 in 106–107 (Esteban et al., 1993) in contrast to ≈3 in 104 for PCR with Taq DNA polymerase (Eckert and Kunkel, 1991).
In clinical application, MDA has been shown to be highly efficient and accurate in many cases. Fragile X syndrome (FXS) is caused by a dynamic mutation in the fragile X mental retardation-1 (FMR1) gene. Normal individuals have <55 CGG repeats in the 5′ untranslated region, premutation carriers have 55–200 repeats, and full mutation ones have >200 repeats (Fu et al., 1991; Malcov et al., 2007). Conventional PCR amplification of the FMR1 CGG triplet repeat-containing region is often difficult because of a “slippage effect”. Full mutation and most high-repeat permutations could not be detected by the conventional PCR (Malcov et al., 2007). Burlet et al. (2006) used MDA products for fluorescent PCR analysis, which was performed to amplify the non-expanded CGG repeats with markers linked to FMR1 and a sequence from the amelogenin gene. With the direct and indirect analyses of the FMR1 gene, the embryonic gender can be determined simultaneously in preimplantation embryos. Lledó et al. (2008) developed an MDA-PGD protocol for X-linked retinoschisis. MDA products were used for PCR analyses of two polymorphic markers flanking the retinoschisis (RS1) gene and a new X/Y marker, X22, to sex embryos in an X-linked retinoschisis PGD program. One single pregnancy was achieved. This report shows that the MDA technique could allow the simultaneous amplification of different targets to perform diagnosis of any known gene abnormality and sexing determination in diseases that linked to gender.
When compared with PCR-based WGA methods, MDA appears to have several conspicuous advantages. The MDA products are of sufficient length and integrity, and the average product length is >10 kb (Dean et al., 2002), allowing accurate restriction fragment length polymorphism (RFLP) analysis. MDA products have been preferred over DOP-PCR products for array comparative genomic hybridization (array-CGH) (le Caignec et al. 2006), which requires approximately 300 ng of amplified DNA (Hellani et al., 2004; le Caignec et al., 2006). Array-CGH offers new possibilities for genetic analysis of aneuploidy screening and detection of unbalanced translocations in preimplantation embryos particularly (le Caignec et al., 2006).
Moreover, MDA offers a useful alternative to multiple locus-specific PCR preamplification for large single nucleotide polymorphism (SNP) genotyping scoring studies (Dean et al., 2002). In comparison with other WGA methods, Tzvetkov et al. (2005) found that MDA exhibits a significantly higher concordance of SNP genotypes following amplification, and suggested that MDA is the current WGA method which can be used in genome-wide SNP scans. The accuracy of genotyping varied from 89% to 100% (average 94%) for SNP from DNA amplified by MDA with φ29 DNA polymerase (Kumar et al., 2008). Furthermore, when the MDA amplified product was used as reference, higher concordance for chromosome copy number from single cells could be achieved in comparison with genomic DNA (93.1% vs. 82.8%) (Ling et al., 2009), suggesting that MDA coupled with SNP mapping array may provide a reliable and accurate method for chromosome copy number analysis and the detection of single-gene disorders.
In addition, Jiang et al. (2005) have pointed out its great potential for producing high-coverage and high-yield WGA products from single sperm cells. They estimated that 76% of the loci can be amplified at least 2500-fold from single sperm DNA, and it can be further amplified >200-fold by a second-round MDA (Jiang et al., 2005). It may mark the beginning of a great new epoch in studies of local recombination rates.
2.4. OmniPlex whole genome amplification
Besides the MAD, OmniPlex is another useful method for obtaining sufficient DNA from a limited amount of samples for genetic diagnosis (Gribble et al., 2004; Uda et al., 2007). Fragmented genomic DNA can be converted randomly into inherently amplifiable DNA fragments of defined size, which formulates a library. With the help of a high-fidelity DNA polymerase, this library can be effectively amplified several thousand-fold. Then a final amplification of over a million-fold without degradation of representation can be achieved by reamplifying the library (Langmore, 2002; Barker et al., 2004).
Chen et al. (2008) reported the first successful application using the OmniPlex technology of WGA in PGD for single gene disorder in combination with human leucocyte antigen (HLA) typing. The examination of blastomeres using OmniPlex in PGD achieved an amplification efficiency of 90% and ADO rate of 6%–19%. The major advantages of this technology are that it permits the subsequent genotyping of multi-loci of a single blastomere in separate PCR reactions without mutual interference, as several PCR reactions using multiple primers in a tube might impede each other, and that it allows broadening of the test items and repeat confirmations for an ambiguous result. Bergen et al. (2005) demonstrated that OmniPlex WGA DNA exhibited a greater reduction in genotyping performance than MDA WGA DNA. The superiority between OmniPlex and MDA in PGD still needs further investigation.
3. Several problems of whole genome amplification
3.1. Preferential amplification and allele dropout
Both preferential amplification (PA) and ADO are the potential problems that can cause misdiagnosis, and they seem to be mainly generated during the WGA reaction (Wells et al., 1999). ADO is defined as the random amplification failure of one of the two heterozygous alleles whilst the other allele successfully amplifies, and PA means the failure of one allele to reach the threshold of detection (Findlay et al., 1995). The data on ADO and PA vary widely, and sometimes the figure can be considered unacceptably high. The PA rates in MDA could range from 6.9% to 60.7% (Spits et al., 2006), while the ADO rates in MDA could reach 10.0%–38.9% (Handyside et al., 2004; Hellani et al., 2004; Iwamoto et al., 2007; Ren et al., 2007; Renwick et al., 2007), which are comparable to those obtained by direct amplification of single cell loci (20%–40%) (Ray and Handyside, 1996; Rechitsky et al., 1998).
The following factors can account for PA (Walsh et al., 1992). First of all, differential denaturation because of the GC percentage differences between alleles was one important factor that could lead to PA. Moreover, the short allele product can be amplified preferentially, even when the target DNA has been sufficiently degraded. In addition, PA is closely associated to the initial number of genomes sampled. When it is very small, it can easily cause PA. Along with the factors mentioned above, less efficient priming of DNA synthesis of one allele is another factor that can result in PA of the other allele, because of mismatches between the primer and the specific allelic template.
As to ADO, it depends on the cell type analyzed, the genes tested, and the lysis conditions, as well as the PCR conditions (Sermon and de Rycke, 2007; Zeng et al., 2009). For autosomal recessive conditions when both partners are carrying the same mutation, ADO will not cause serious misdiagnosis, but the number of embryos available for transfer would decrease and this may result in a poor pregnancy rate. For compound heterozygous or autosomal dominant conditions, the results are quite contrary to those autosomal recessive conditions, and the consequences of ADO could be catastrophic for transferring affected embryos (Thornhill and Snow, 2002): longer alleles, that is, with a larger number of repeats, either paternal or maternal. Frumkin et al. (2008) found that longer alleles had significantly higher dropout rates when compared with their corresponding shorter alleles. The small quantity of the WGA products that used in the following PCR-based analysis could also result in ADO.
These drawbacks seriously compromise the validity of PGD. Fortunately, in view of the disadvantages in MDA, methods to improve the accuracy of the techniques used will reduce the likelihood of these disadvantages. Several improvements have been suggested to overcome the ADO problem, such as the use of alkaline lysis buffer in order to break down the cell and make the DNA more accessible, and the use of lysis buffer containing proteinase and detergent as an effective way to help reduce ADO (Thornhill et al., 2001; Kim et al., 2009). Linker-adaptor amplification was also suggested to lower ADO rates (Renwick et al., 2007). Besides reducing ADO, the use of linked markers to increase the detection of ADO is another way to improve the accuracy of the techniques. With use of one or two linked markers, the undetected ADO would be reduced by approximately 50% and 75%, respectively, and with three linked markers ADO could be virtually entirely detected (Thornhill and Snow, 2002). General strategies to avoid PA have been discussed by Walsh et al. (1992), such as reaching a temperature capable of denaturing all alleles. One simple solution suggested by Spits and Sermon (2009) is to analyze more loci, where ADO rates generally are under 10% and PA is hardly an issue. However, new modified strategies are needed to improve the accuracy of PGD and they should be addressed in future studies.
3.2. Slippage of microsatellites
Microsatellites are short segments of DNA that have a repeated sequence, such as STRs or simple tandem repeats. The slippage of microsatellites is very common in PCR-based WGA methods, such as PEP and DOP-PCR. The amplification of repetitive DNA sequences, such as STRs, increased or decreased by a number of base pairs equivalent to one repeat length, presumably caused by slippage of the DNA chain during product generation (Wells et al., 1999), is probably due to the low annealing temperatures which are characteristic of PCR-WGA protocols. According to the report by Cheung and Nelson (1996), this problem mainly occurs when only a small quantity of samples are available; if providing sufficient amount of DNA, such problem maybe not exist. Moreover, the research using quantitative fluorescence multiplex PCR has shown that PA obviously exists in microsatellite heterozygote, and ADO occurs frequently as well. For these reasons, PCR-based WGA methods are infrequently used in aneuploidy diagnosis (Sherlock et al., 1998; Harper and Wells, 1999; Renwick et al., 2007). However, the slippage of microsatellites does not seem to occur among the MDA products (Lledó et al., 2006). Consequently, a misdiagnosis due to a discrepancy with genomic DNA could be substantially reduced by MDA, improving the outcome of PGD.
4. New strategies used in preimplantation genetic diagnosis following whole genome amplification
4.1. Comparative genomic hybridization and array-comparative genomic hybridization
CGH after WGA can permit visualization of all 46 interphase chromosomes. The entire test sample genome is amplified through the use of random primers and labeled with one color, and a normal reference sample is amplified and labeled with another color (Wilton, 2005). These samples are then used as probes to hybridize onto normal metaphase chromosomal plates. With image-processing software, duplication or deletion, and unbalanced structural differences between the normal reference and test specimens can be revealed. This technique has already been applied to PGD during the past few years, including chromosomal mosaicism, unbalanced structural chromosome aberrations, and chromosome breakage and aneuploidy (Malmgren et al., 2002; Shanske et al., 2004; Fragouli et al., 2006).
CGH does have limitations in that it is time-consuming and labor intensive. The long period required for hybridization (up to 72 h) has limited the widespread use of this technique, as it is necessary to freeze the biopsied embryos, and the survival rate of the thawed embryos has been relatively poor (approximately 50% did not survive the thawing process) (Hu et al., 2004; Escribá et al., 2008). The development of a highly efficient cryopreservation technique is urgently needed to reduce fears concerning the impact of cryopreservation on embryo viability.
Recently, array-CGH has been developed, and it takes only 30 h to perform the hybridization step (Hu et al., 2004). Array-CGH is much easier to perform and more amenable to automation than CGH. It is also an effective tool for selection of embryos with a high implantation potential (Jones et al., 2008). It can be used for analyzing a wide variety of genetic mutations. The advantage of embryo fingerprinting and the potential for combined aneuploidy and single gene disorder diagnosis can be offered by accurate microarray platforms (Hu et al., 2004; 2007; Wells et al., 2008). This is a huge improvement over classical karyotyping, and it is considered to have great potential to replace much of the present diagnostic cytogenetics (Vermeesch et al., 2007).
However, several critical issues need to be addressed before array-CGH can be suitable for clinical PGD. First of all, the accuracy needs further evaluation. It was reported that array-CGH sometimes gave incorrect results for chromosomes 2, 4, 9, 11, 17, and 22 (Hu et al., 2004). In addition, the quality of WGA products might not be as perfect as we had expected (Paez et al., 2004), and the drawbacks of WGA that we mentioned above would reduce the efficiency for detection of chromosomal abnormality. More refinements will be required before general use in PGD. In addition, the present array-CGH protocol is expensive and does not seem to fit easily into all clinical PGD services. This requires us to find new ways to reduce costs and bring the advantages to more patients.
4.2. Haplotyping
Preimplantation genetic haplotyping (PGH) is a novel approach in PGD. The greatest advantage of this technique is that it can detect any mapped single-gene disorders even in the absence of an established mutation (Coskun and Alsmadi, 2007). However, it requires a careful study of the pedigree with at least one affected family member and finding several informative linked markers for the mutated genes before PGH can be applied, and these markers can be used for all carriers of the same monogenic disease.
Renwick et al. (2006) had successfully implemented PGH to CF and Duchenne muscular dystrophy (DMD) by MDA products, resulting in an on-going pregnancy. Moreover, the PGD of less common haematological mutations can be enabled by PGH (El-Toukhy et al., 2010), and the overall number of embryos suitable for transfer could be increased (Renwick and Ogilvie, 2007). PGH represents an alternative method in embryo diagnosis and the evolving technology of PGH following WGA may increase the diagnostic scope and availability of PGD in the future.
4.3. Single nucleotide polymorphism genotyping
SNPs account for most gene variants found in humans and may be associated with risks of developing common diseases. Therefore, many researches have been focused on SNPs as markers for genome-wide association studies in recent years (Carlson et al., 2003). These SNP-based association studies rely on the availability of abundant genomic DNA. WGA makes this possible.
WGA followed by SNP array analysis not only provides a reliable method to evaluate DNA products on genotype, but also can explore chromosomal aberrations with high accuracy and reproducibility (Iwamoto et al., 2007). Ling et al. (2009) reported that they had successfully detected chromosomal abnormalities by MDA coupled with SNP mapping array, such as trisomy and monosomy. Nevertheless, the study of SNP genotyping combined with WGA in PGD is in its initial stage, and the potential benefit from this method is not possible to estimate.
5. Conclusions
The WGA for genetic analysis in PGD is encouraging and the clinical uses of these techniques are on the rise. Currently, clinical applications of WGA provide very promising amplification efficiency. Especially, the advent of MDA opens the door to multiple tasks which need abundant DNA. It has been recognized to be the most effective WGA at present, and has become one of the main techniques in PGD. The new strategies used in PGD following WGA, such as array-CGH, haplotyping, and SNP genotyping, may enable the detection of a wider spectrum of specific inherited disorders. In spite of different kinds of WGA which have already been developed and applied to clinical work, each method has its own merits and limitations. Further improvements of these protocols are required. We believe that more satisfactory methods will appear and play an important role in PGD in the immediate future.
Footnotes
Project supported by the National Basic Research Program (973) of China (No. 2007CB948104) and the Natural Science Foundation of Zhejiang Province, China (No. Z207021)
References
- 1.Ao A, Wells D, Handyside AH, Winston RM, Delhanty JD. Preimplantation genetic diagnosis of inherited cancer: familial adenomatous polyposis coli. J Assist Reprod Genet. 1998;15(3):140–144. doi: 10.1023/A:1023008921386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Barker DL, Hansen MS, Faruqi AF, Giannola D, Irsula OR, Lasken RS, Latterich M, Makarov V, Oliphant A, Pinter JH, et al. Two methods of whole genome amplification enable accurate genotyping across a 2320-SNP linkage panel. Genome Res. 2004;14(5):901–907. doi: 10.1101/gr.1949704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Bergen AW, Haque KA, Qi Y, Beerman MB, Garcia-Closas M, Rothman N, Chanock SJ. Comparison of yield and genotyping performance of multiple displacement amplification and OmniPlex whole genome amplified DNA generated from multiple DNA sources. Hum Mutat. 2005;26(3):262–270. doi: 10.1002/humu.20213. [DOI] [PubMed] [Google Scholar]
- 4.Bonnette MD, Pavlova VR, Rodier DN, Thompson LP, Boone EL, Brown KL, Meyer KM, Trevino MB, Champagne JR, Cruz TD. dcDegenerate oligonucleotide primed-PCR for multilocus, genome-wide analysis from limited quantities of DNA. Diagn Mol Pathol. 2009;18(3):165–175. doi: 10.1097/PDM.0b013e31818d34d1. [DOI] [PubMed] [Google Scholar]
- 5.Burlet P, Frydman N, Gigarel N, Kerbrat V, Tachdjian G, Feyereisen E, Bonnefont JP, Frydman R, Munnich A, Steffann J. Multiple displacement amplification improves PGD for fragile X syndrome. Mol Hum Reprod. 2006;12(10):647–652. doi: 10.1093/molehr/gal069. [DOI] [PubMed] [Google Scholar]
- 6.Carlson CS, Eberle MA, Rieder MJ, Smith JD, Kruglyak L, Nickerson DA. Additional SNPs and linkage-disequilibrium analyses are necessary for whole-genome association studies in humans. Nat Genet. 2003;33(4):518–521. doi: 10.1038/ng1128. [DOI] [PubMed] [Google Scholar]
- 7.Chen SU, Su YN, Fang MY, Chang LJ, Tsai YY, Lin LT, Lee CN, Yang YS. PGD of β-thalassaemia and HLA haplotypes using OmniPlex whole genome amplification. Reprod BioMed Online. 2008;17(5):699–705. doi: 10.1016/S1472-6483(10)60319-7. [DOI] [PubMed] [Google Scholar]
- 8.Cheung VG, Nelson SF. Whole genome amplification using a degenerate oligonucleotide primer allows hundreds of genotypes to be performed on less than one nanogram of genomic DNA. PNAS. 1996;93(25):14676–14679. doi: 10.1073/pnas.93.25.14676. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Coskun S, Alsmadi O. Whole genome amplification from a single cell: a new era for preimplantation genetic diagnosis. Prenat Diagn. 2007;27(4):297–302. doi: 10.1002/pd.1667. [DOI] [PubMed] [Google Scholar]
- 10.Dean FB, Hosono S, Fang L, Wu X, Faruqi AF, Bray-Ward P, Sun Z, Zong Q, Du Y, Du J, et al. Comprehensive human genome amplification using multiple displacement amplification. PNAS. 2002;99(8):5261–5266. doi: 10.1073/pnas.082089499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Dietmaier W, Hartmann A, Wallinger S, Heinmöller E, Kerner T, Endl E, Jauch KW, Hofstädter F, Rüschoff J. Multiple mutation analyses in single tumor cells with improved whole genome amplification. Am J Pathol. 1999;154(1):83–95. doi: 10.1016/S0002-9440(10)65254-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Eckert KA, Kunkel TA. DNA polymerase fidelity and the polymerase chain reaction. Genome Res. 1991;1(1):17–24. doi: 10.1101/gr.1.1.17. [DOI] [PubMed] [Google Scholar]
- 13.El-Toukhy T, Bickerstaff H, Meller S. Preimplantation genetic diagnosis for haematologic conditions. Curr Opin Pediatr. 2010;22(1):28–34. doi: 10.1097/MOP.0b013e3283350d77. [DOI] [PubMed] [Google Scholar]
- 14.Escribá MJ, Zulategui JF, Galán A, Mercader A, Remohí J, de los Santos MJ. Vitrification of preimplantation genetically diagnosed human blastocysts and its contribution to the cumulative ongoing pregnancy rate per cycle by using a closed device. Fertil Steril. 2008;89(4):840–846. doi: 10.1016/j.fertnstert.2007.04.035. [DOI] [PubMed] [Google Scholar]
- 15.Esteban JA, Salas M, Blanco L. Fidelity of φ29 DNA polymerase. Comparison between protein-primed initiation and DNA polymerization. J Biol Chem. 1993;268(4):2719–2726. [PubMed] [Google Scholar]
- 16.Findlay I, Ray P, Quirke P, Rutherford A, Lilford R. Allelic drop-out and preferential amplification in single cells and human blastomeres: implications for preimplantation diagnosis of sex and cystic fibrosis. Mol Hum Reprod. 1995;1(4):209–218. doi: 10.1093/molehr/1.4.209. [DOI] [PubMed] [Google Scholar]
- 17.Fragouli E, Wells D, Thornhill A, Serhal P, Faed MJW, Harper JC, Delhanty JDA. Comparative genomic hybridization analysis of human oocytes and polar bodies. Hum Reprod. 2006;21(9):2319–2328. doi: 10.1093/humrep/del157. [DOI] [PubMed] [Google Scholar]
- 18.Frumkin D, Wasserstrom A, Itzkovitz S, Harmelin A, Rechavi G, Shapiro E. Amplification of multiple genomic loci from single cells isolated by laser micro-dissection of tissues. BMC Biotechnol. 2008;8(1):17. doi: 10.1186/1472-6750-8-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Fu YH, Kuhl DP, Pizzuti A, Pieretti M, Sutcliffe JS, Richards S, Verkerk AJ, Holden JJ, Fenwick RGJr, Warren ST, et al. Variation of the CGG repeat at the fragile X site results in genetic instability: resolution of the Sherman paradox. Cell. 1991;67(6):1047–1058. doi: 10.1016/0092-8674(91)90283-5. [DOI] [PubMed] [Google Scholar]
- 20.Gribble S, Ng BL, Prigmore E, Burford DC, Carter NP. Chromosome paints from single copies of chromosomes. Chromosome Res. 2004;12(2):143–151. doi: 10.1023/B:CHRO.0000013167.12527.f0. [DOI] [PubMed] [Google Scholar]
- 21.Handyside AH, Pattinson JK, Penketh RJ, Delhanty JD, Winston RM, Tuddenham EG. Biopsy of human preimplantation embryos and sexing by DNA amplification. Lancet. 1989;333(8634):347–349. doi: 10.1016/S0140-6736(89)91723-6. [DOI] [PubMed] [Google Scholar]
- 22.Handyside AH, Kontogianni EH, Hardy K, Winston RM. Pregnancies from biopsied human preimplantation embryos sexed by Y-specific DNA amplification. Nature. 1990;344(6268):768–770. doi: 10.1038/344768a0. [DOI] [PubMed] [Google Scholar]
- 23.Handyside AH, Robinson MD, Simpson RJ, Omar MB, Shaw MA, Grudzinskas JG, Rutherford A. Isothermal whole genome amplification from single and small numbers of cells: a new era for preimplantation genetic diagnosis of inherited disease. Mol Hum Reprod. 2004;10(10):767–772. doi: 10.1093/molehr/gah101. [DOI] [PubMed] [Google Scholar]
- 24.Harper JC, Wells D. Recent advances and future developments in PGD. Prenat Diagn. 1999;19(13):1193–1199. doi: 10.1002/(SICI)1097-0223(199912)19:13<1193::AID-PD728>3.0.CO;2-5. [DOI] [PubMed] [Google Scholar]
- 25.Harper JC, Repping S, Hill D. Current controversies in prenatal diagnosis 1: is aneuploidy testing by PGD indicated for all infertile patients undergoing IVF? Prenat Diagn. 2009;29(1):2–5. doi: 10.1002/pd.2178. [DOI] [PubMed] [Google Scholar]
- 26.Hellani A, Coskun S, Benkhalifa M, Tbakhi A, Sakati N, Al-Odaib A, Ozand P. Multiple displacement amplification on single cell and possible PGD applications. Mol Hum Reprod. 2004;10(11):847–852. doi: 10.1093/molehr/gah114. [DOI] [PubMed] [Google Scholar]
- 27.Hu DG, Webb G, Hussey N. Aneuploidy detection in single cells using DNA array-based comparative genomic hybridization. Mol Hum Reprod. 2004;10(4):283–289. doi: 10.1093/humrep/gah038. [DOI] [PubMed] [Google Scholar]
- 28.Hu DG, Guan XY, Hussey N. Gender determination and detection of aneuploidy in single cells using DNA array-based comparative genomic hybridization. Methods Mol Med. 2007;132:135–151. doi: 10.1007/978-1-59745-298-4_12. [DOI] [PubMed] [Google Scholar]
- 29.Iwamoto K, Bundo M, Ueda J, Nakano Y, Ukai W, Hashimoto E, Saito T, Kato T. Detection of chromosomal structural alterations in single cells by SNP arrays: a systematic survey of amplification bias and optimized workflow. PLoS One. 2007;2(12):e1306. doi: 10.1371/journal.pone.0001306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Jiang Z, Zhang X, Deka R, Jin L. Genome amplification of single sperm using multiple displacement amplification. Nucleic Acids Res. 2005;33(10):e91. doi: 10.1093/nar/gni089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Jiao Z, Zhou C, Li J, Shu Y, Liang X, Zhang M, Zhuang G. Birth of healthy children after preimplantation diagnosis of beta-thalassemia by whole-genome amplification. Prenat Diagn. 2003;23(8):646–651. doi: 10.1002/pd.659. [DOI] [PubMed] [Google Scholar]
- 32.Jin F, Huang HF, Ye YH, Xu CM, Xing LF. Study on the amplification uniformity of whole genome in a single cell by degenerate oligonucleotide primed polymerase chain reaction. Chin J Obstet Gynecol. 2000;35(8):459–461. (in Chinese) [PubMed] [Google Scholar]
- 33.Jones GM, Cram DS, Song B, Kokkali G, Pantos K, Trounson AO. Novel strategy with potential to identify developmentally competent IVF blastocysts. Hum Reprod. 2008;23(8):1748–1759. doi: 10.1093/humrep/den123. [DOI] [PubMed] [Google Scholar]
- 34.Jonsdottir B, Bergsteinsson H, Baldursson O. Cystic fibrosis–review. Laeknabladid. 2008;94(12):831–837. (in Icelandic) [PubMed] [Google Scholar]
- 35.Kim SA, Yoon JA, Kang MJ, Choi YM, Chae SJ, Moon SY. An efficient and reliable DNA extraction method for preimplantation genetic diagnosis: a comparison of allele drop out and amplification rates using different single cell lysis methods. Fertil Steril. 2009;92(2):814–818. doi: 10.1016/j.fertnstert.2008.06.033. [DOI] [PubMed] [Google Scholar]
- 36.Kittler R, Stoneking M, Kayser M. A whole genome amplification method to generate long fragments from low quantities of genomic DNA. Anal Biochem. 2002;300(2):237–244. doi: 10.1006/abio.2001.5460. [DOI] [PubMed] [Google Scholar]
- 37.Kumar G, Garnova E, Reagin M, Vidali A. Improved multiple displacement amplification with φ29 DNA polymerase for genotyping of single human cells. Biotechniques. 2008;44(7):879–890. doi: 10.2144/000112755. [DOI] [PubMed] [Google Scholar]
- 38.Langmore JP. Rubicon Genomics, Inc. Pharmacogenomics. 2002;3(4):557–560. doi: 10.1517/14622416.3.4.557. [DOI] [PubMed] [Google Scholar]
- 39.le Caignec C, Spits C, Sermon K, de Rycke M, Thienpont B, Debrock S, Staessen C, Moreau Y, Fryns JP, van Steirteghem A, et al. Single-cell chromosomal imbalances detection by array CGH. Nucleic Acids Res. 2006;34(9):e68. doi: 10.1093/nar/gkl336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ling J, Zhuang G, Tazon-Vega B, Zhang C, Cao B, Rosenwaks Z, Xu K. Evaluation of genome coverage and fidelity of multiple displacement amplification from single cells by SNP array. Mol Hum Reprod. 2009;15(11):739–747. doi: 10.1093/molehr/gap066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Lledó B, Ten J, Galán FM, Bernabeu R. Preimplantation genetic diagnosis of Marfan syndrome using multiple displacement amplification. Fertil Steril. 2006;86(4):949–955. doi: 10.1016/j.fertnstert.2006.03.036. [DOI] [PubMed] [Google Scholar]
- 42.Lledó B, Ten J, Rodriguez-Arnedo D, Llácer J, Bernabeu R. Preimplantation genetic diagnosis of X-linked retinoschisis. Reprod Biomed Online. 2008;16(6):886–892. doi: 10.1016/S1472-6483(10)60157-5. [DOI] [PubMed] [Google Scholar]
- 43.Lovmar L, Syvänen AC. Multiple displacement amplification to create a long-lasting source of DNA for genetic studies. Hum Mutat. 2006;27(7):603–614. doi: 10.1002/humu.20341. [DOI] [PubMed] [Google Scholar]
- 44.Malcov M, Naiman T, Yosef DB, Carmon A, Mey-Raz N, Amit A, Vagman I, Yaron Y. Preimplantation genetic diagnosis for fragile X syndrome using multiplex nested PCR. Reprod BioMed Online. 2007;14(4):515–521. doi: 10.1016/S1472-6483(10)60901-7. [DOI] [PubMed] [Google Scholar]
- 45.Malmgren H, Sahlen S, Inzunza J, Aho M, Rosenlund B, Fridström M, Hovatta O, Ährlund-Richter L, Nordenskjöld M, Blennow E. Single cell CGH analysis reveals a high degree of mosaicism in human embryos from patients with balanced structural chromosome aberrations. Mol Hum Reprod. 2002;8(5):502–510. doi: 10.1093/molehr/8.5.502. [DOI] [PubMed] [Google Scholar]
- 46.Mueller C, Flotte TR. Gene therapy for cystic fibrosis. Clin Rev Allergy Immunol. 2008;35(3):164–178. doi: 10.1007/s12016-008-8080-3. [DOI] [PubMed] [Google Scholar]
- 47.Nelson DL, Ledbetter SA, Corbo L, Victoria MF, Ramirez-Solis R, Webster TD, Ledbetter DH, Caskey CT. Alu polymerase chain reaction: a method for rapid isolation of human-specific sequences from complex DNA sources. PNAS. 1989;86(17):6686–6690. doi: 10.1073/pnas.86.17.6686. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Ouhibi N, Olson S, Patton P, Wolf D. Preimplantation genetic diagnosis. Curr Womens Health Rep. 2001;1(2):138–142. [PubMed] [Google Scholar]
- 49.Paez JG, Lin M, Beroukhim R, Lee JC, Zhao X, Richter DJ, Gabriel S, Herman P, Sasaki H, Altshuler D, et al. Genome coverage and sequence fidelity of φ29 polymerase-based multiple strand displacement whole genome amplification. Nucleic Acids Res. 2004;32(9):e71. doi: 10.1093/nar/gnh069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Paunio T, Reima I, Syvanen AC. Preimplantation diagnosis by whole-genome amplification, PCR amplification, and solid-phase minisequencing of blastomere DNA. Clin Chem. 1996;42(9):1382–1390. [PubMed] [Google Scholar]
- 51.Peng W, Takabayashi H, Ikawa K. Whole genome amplification from single cells in preimplantation genetic diagnosis and prenatal diagnosis. Eur J Obstet Gynecol Reprod Biol. 2007;131(1):13–20. doi: 10.1016/j.ejogrb.2006.07.027. [DOI] [PubMed] [Google Scholar]
- 52.Ray PF, Handyside AH. Increasing the denaturation temperature during the first cycles of amplification reduces allele dropout from single cells for preimplantation genetic diagnosis. Mol Hum Reprod. 1996;2(3):213–218. doi: 10.1093/molehr/2.3.213. [DOI] [PubMed] [Google Scholar]
- 53.Rechitsky S, Strom C, Verlinsky O, Amet T, Ivakhnenko V, Kukharenko V, Kuliev A, Verlinsky Y. Allele dropout in polar bodies and blastomeres. J Assist Reprod Genet. 1998;15(5):253–257. doi: 10.1023/A:1022532108472. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Ren Z, Zhou C, Xu Y, Deng J, Zeng H, Zeng Y. Mutation and haplotype analysis for Duchenne muscular dystrophy by single cell multiple displacement amplification. Mol Hum Reprod. 2007;13(6):431–436. doi: 10.1093/molehr/gam020. [DOI] [PubMed] [Google Scholar]
- 55.Renwick PJ, Ogilvie CM. Preimplantation genetic diagnosis for monogenic diseases: overview and emerging issues. Expert Rev Mol Diagn. 2007;7(1):33–43. doi: 10.1586/14737159.7.1.33. [DOI] [PubMed] [Google Scholar]
- 56.Renwick PJ, Trussler J, Ostad-Saffari E, Fassihi H, Black C, Braude P, Ogilvie CM, Abbs S. Proof of principle and first cases using preimplantation genetic haplotyping–a paradigm shift for embryo diagnosis. Reprod Biomed Online. 2006;13(1):110–119. doi: 10.1016/S1472-6483(10)62024-X. [DOI] [PubMed] [Google Scholar]
- 57.Renwick PJ, Lewis CM, Abbs S, Ogilvie CM. Determination of the genetic status of cleavage-stage human embryos by microsatellite marker analysis following multiple displacement amplification. Prenat Diagn. 2007;27(3):206–215. doi: 10.1002/pd.1638. [DOI] [PubMed] [Google Scholar]
- 58.Rund D, Rachmilewitz E. β-Thalassemia. New Engl J Med. 2005;353(11):1135–1146. doi: 10.1056/NEJMra050436. [DOI] [PubMed] [Google Scholar]
- 59.Sánchez-García JF, Benet J, Gutiérrez-Mateo C, Luís Séculi J, Monrós E, Navarro J. Multiple mutation analysis of the cystic fibrosis gene in single cells. Mol Hum Reprod. 2005;11(6):463–468. doi: 10.1093/molehr/gah176. [DOI] [PubMed] [Google Scholar]
- 60.Sermon K. Current concepts in preimplantation genetic diagnosis (PGD): a molecular biologist’s view. Hum Reprod Update. 2002;8(1):11–20. doi: 10.1093/humupd/8.1.11. [DOI] [PubMed] [Google Scholar]
- 61.Sermon K, de Rycke M. Single cell polymerase chain reaction for preimplantation genetic diagnosis: methods, strategies, and limitations. Methods Mol Med. 2007;132:31–42. doi: 10.1007/978-1-59745-298-4_4. [DOI] [PubMed] [Google Scholar]
- 62.Sermon K, Lissens W, Joris H, van Steirteghem A, Liebaers I. Adaptation of the primer extension preamplification (PEP) reaction for preimplantation diagnosis: single blastomere analysis using short PEP protocols. Mol Hum Reprod. 1996;2(3):209–212. doi: 10.1093/molehr/2.3.209. [DOI] [PubMed] [Google Scholar]
- 63.Shanske AL, Edelmann L, Kardon NB, Gosset P, Levy B. Detection of an interstitial deletion of 2q21-22 by high resolution comparative genomic hybridization in a child with multiple congenital anomalies and an apparent balanced translocation. Am J Med Genet. 2004;131a(1):29–35. doi: 10.1002/ajmg.a.30311. [DOI] [PubMed] [Google Scholar]
- 64.Sherlock J, Cirigliano V, Petrou M, Tutschek B, Adinolfi M. Assessment of quantitative fluorescent multiplex PCR performed on single cells. Ann Hum Genet. 1998;62(1):9–23. doi: 10.1046/j.1469-1809.1998.6210009.x. [DOI] [PubMed] [Google Scholar]
- 65.Silander K, Saarela J. Whole genome amplification with φ29 DNA polymerase to enable genetic or genomic analysis of samples of low DNA yield. Methods Mol Biol. 2008;439:1–18. doi: 10.1007/978-1-59745-188-8_1. [DOI] [PubMed] [Google Scholar]
- 66.Spits C, Sermon K. PGD for monogenic disorders: aspects of molecular biology. Prenat Diagn. 2009;29(1):50–56. doi: 10.1002/pd.2161. [DOI] [PubMed] [Google Scholar]
- 67.Spits C, le Caignec C, de Rycke M, van Haute L, van Steirteghem A, Liebaers I, Sermon K. Optimization and evaluation of single-cell whole-genome multiple displacement amplification. Hum Mutat. 2006;27(5):496–503. doi: 10.1002/humu.20324. [DOI] [PubMed] [Google Scholar]
- 68.Sun G, Kaushal R, Pal P, Wolujewicz M, Smelser D, Cheng H, Lu M, Chakraborty R, Jin L, Deka R. Whole-genome amplification: relative efficiencies of the current methods. Leg Med (Tokyo) 2005;7(5):279–286. doi: 10.1016/j.legalmed.2005.05.001. [DOI] [PubMed] [Google Scholar]
- 69.Telenius H, Carter NP, Bebb CE, Nordenskjold M, Ponder BA, Tunnacliffe A. Degenerate oligonucleotide-primed PCR: general amplification of target DNA by a single degenerate primer. Genomics. 1992;13(3):718–725. doi: 10.1016/0888-7543(92)90147-K. [DOI] [PubMed] [Google Scholar]
- 70.Thornhill AR, Snow K. Molecular diagnostics in preimplantation genetic diagnosis. J Mol Diagn. 2002;4(1):11–29. doi: 10.1016/S1525-1578(10)60676-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Thornhill AR, McGrath JA, Braude P, Eady R, Handyside AH. A comparison of different lysis buffers to assess allele dropout from single cells for preimplantation genetic diagnosis. Prenat Diagn. 2001;21(6):490–497. doi: 10.1002/pd.109. [DOI] [PubMed] [Google Scholar]
- 72.Thornhill AR, deDie-Smulders CE, Geraedts JP, Harper JC, Harton GL, Lavery SA, Moutou C, Robinson MD, Schmutzler AG, Scriven PN, et al. ESHRE PGD Consortium ‘Best practice guidelines for clinical preimplantation genetic diagnosis (PGD) and preimplantation genetic screening (PGS)’. Hum Reprod. 2005;20(1):35–48. doi: 10.1093/humrep/deh579. [DOI] [PubMed] [Google Scholar]
- 73.Tzvetkov MV, Becker C, Kulle B, Nürnberg P, Brockmöller J, Wojnowski L. Genome-wide single-nucleotide polymorphism arrays demonstrate high fidelity of multiple displacement-based whole-genome amplification. Electrophoresis. 2005;26(3):710–715. doi: 10.1002/elps.200410121. [DOI] [PubMed] [Google Scholar]
- 74.Uda A, Tanabayashi K, Fujita O, Hotta A, Yamamoto Y, Yamada A. Comparison of whole genome amplification methods for detecting pathogenic bacterial genomic DNA using microarray. Jpn J Infect Dis. 2007;60(6):355–361. [PubMed] [Google Scholar]
- 75.Vermeesch JR, Fiegler H, de Leeuw N, Szuhai K, Schoumans J, Ciccone R, Speleman F, Rauch A, Clayton-Smith J, van Ravenswaaij C, et al. Guidelines for molecular karyotyping in constitutional genetic diagnosis. Eur J Hum Genet. 2007;15(11):1105–1114. doi: 10.1038/sj.ejhg.5201896. [DOI] [PubMed] [Google Scholar]
- 76.Voullaire L, Wilton L, Slater H, Williamson R. Detection of aneuploidy in single cells using comparative genomic hybridization. Prenat Diagn. 1999;19(9):846–851. doi: 10.1002/(SICI)1097-0223(199909)19:9<846::AID-PD657>3.3.CO;2-R. [DOI] [PubMed] [Google Scholar]
- 77.Voullaire L, Wilton L, McBain J, Callaghan T, Williamson R. Chromosome abnormalities identified by comparative genomic hybridization in embryos from women with repeated implantation failure. Mol Hum Reprod. 2002;8(11):1035–1041. doi: 10.1093/molehr/8.11.1035. [DOI] [PubMed] [Google Scholar]
- 78.Walsh PS, Erlich HA, Higuchi R. Preferential PCR amplification of alleles: mechanisms and solutions. Genome Res. 1992;1(4):241–250. doi: 10.1101/gr.1.4.241. [DOI] [PubMed] [Google Scholar]
- 79.Wells D. Advances in preimplantation genetic diagnosis. Eur J Obstet Gynecol Reprod Biol. 2004;115(Suppl. 1):S97–S101. doi: 10.1016/j.ejogrb.2004.01.020. [DOI] [PubMed] [Google Scholar]
- 80.Wells D, Levy B. Cytogenetics in reproductive medicine: the contribution of comparative genomic hybridization (CGH) BioEssays. 2003;25(3):289–300. doi: 10.1002/bies.10232. [DOI] [PubMed] [Google Scholar]
- 81.Wells D, Sherlock JK, Handyside AH, Delhanty JD. Detailed chromosomal and molecular genetic analysis of single cells by whole genome amplification and comparative genomic hybridisation. Nucleic Acids Res. 1999;27(4):1214–1218. doi: 10.1093/nar/27.4.1214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Wells D, Escudero T, Levy B, Hirschhorn K, Delhanty JD, Munné S. First clinical application of comparative genomic hybridization and polar body testing for preimplantation genetic diagnosis of aneuploidy. Fertil Steril. 2002;78(3):543–549. doi: 10.1016/S0015-0282(02)03271-5. [DOI] [PubMed] [Google Scholar]
- 83.Wells D, Alfarawati S, Fragouli E. Use of comprehensive chromosomal screening for embryo assessment: microarrays and CGH. Mol Hum Reprod. 2008;14(12):703–710. doi: 10.1093/molehr/gan062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Wilton L. Preimplantation genetic diagnosis and chromosome analysis of blastomeres using comparative genome hybridization. Hum Reprod Update. 2005;11(1):33–41. doi: 10.1093/humupd/dmh050. [DOI] [PubMed] [Google Scholar]
- 85.Xu CM, Jin F, Huang HF, Tao Y, Ye YH. Single cell analysis of dystrophin and SRY gene by using whole genome amplification. J Reprod Contraception. 2001;12(3):154–161. [Google Scholar]
- 86.Zeng J, Xu Y, Wang D, Zou H, Deng Z, Yang B. An analysis of the reason for HLA-C allele dropout in five samples by sequence-based typing. Chin J Med Genetics. 2009;26(5):562–566. doi: 10.3760/cma.j.issn.1003-9406.2009.05.019. (in Chinese) [DOI] [PubMed] [Google Scholar]
- 87.Zhang L, Cui X, Schmitt K, Hubert R, Navidi W, Arnheim N. Whole genome amplification from a single cell: implications for genetic analysis. PNAS. 1992;89(13):5847–5855. doi: 10.1073/pnas.89.13.5847. [DOI] [PMC free article] [PubMed] [Google Scholar]