• We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
Logo of pnasPNASInfo for AuthorsSubscriptionsAboutThis Article
Proc Natl Acad Sci U S A. Jun 24, 2003; 100(13): 7449–7453.
Published online Jun 11, 2003. doi:  10.1073/pnas.1232475100
PMCID: PMC164606
Applied Biological Sciences

Direct molecular haplotyping of long-range genomic DNA with M1-PCR


Haplotypes, combinations of several phase-determined polymorphic markers, are extremely valuable for studies of disease association and chromosome evolution. Here we describe a technique called M1-PCR (M for ``multiplex'' and 1 for ``single-copy DNA molecules'') that enables direct molecular haplotyping of several polymorphic markers separated by as many as 24 kb. A genomic DNA sample first is diluted to approximately single-copy. The haplotype is directly determined by simultaneously genotyping several polymorphic markers in the same reaction with a multiplex PCR and base extension reaction. This approach does not rely on pedigree data and does not require previous amplification of the entire genomic region containing the selected markers.

With the rapid discovery and validation of several million single-nucleotide polymorphisms (SNPs; refs. 13), it is now increasingly practical to use genome-wide scanning to find genes associated with common diseases (4, 5). Individual SNPs have statistical power for locating disease susceptibility genes. However, haplotypes, combinations of several phase-determined polymorphic markers, can provide additional statistical power in the mapping of disease genes (69), particularly for mapping human complex trait loci (10).

Haplotype determination of several markers for a diploid cell is complicated, because conventional genotyping techniques cannot determine the phases of several different markers. For example, a genomic region with three heterozygous markers can yield eight possible haplotypes. This ambiguity can, in some cases, be solved if pedigree genotypes are available. However, even for a haplotype of only three markers, genotypes of father–mother–offspring trios can fail to yield offspring haplotypes up to 24% of the time (11). Computational algorithms such as expectation-maximization (EM), subtraction, and PHASE are used for statistical estimation of haplotypes (6, 12, 13). However, these computational methods have limitations in accuracy, number of markers, and genomic DNA length. Alternatively, direct molecular haplotyping based on the physical separation of two homologous genomic DNAs before genotyping can be used. DNA cloning, somatic cell hybrid construction, and allele-specific, single-molecule, and long-range PCR (1417) have been used, and these approaches are largely independent of pedigree information. However, some of these methods (allele-specific and single-molecule PCR) typically are limited to short genomic regions (<3 kb), and all are labor-intensive. Significant efforts have been spent on improving the aforementioned techniques for long-range haplotyping (17, 18), yet it is unclear whether these improvements are robust and simple enough for high-throughput haplotype analysis. Allele-specific PCR coupled with matrix-assisted laser desorption ionization/time-of-flight (MALDI-TOF) MS has been suggested for high-throughput molecular haplotyping (19). For haplotyping of some males, single-sperm typing (20) also can be used for direct molecular haplotyping.

We report here a direct molecule haplotyping approach called M1-PCR (M for ``multiplex'' and 1 for ``single-copy DNA molecules'') that includes single-molecule dilution of genomic DNA for the separation of two homologous genomic DNAs, followed by direct multiplex genotyping of several markers with the MALDI-TOF MS-based MassARRAY system (SEQUENOM; Fig. 1). In contrast to other PCR-based haplotyping techniques, the M1-PCR method does not require the amplification of the entire genomic region. Instead, only ≈100 bp of the genomic region surrounding each SNP is amplified by PCR. As a result, the distance between two SNPs in the genome does not affect the haplotyping efficiency. Thus, haplotyping can be achieved for virtually any genomic distance, as long as the genomic DNA is largely intact (no physical breaks). A genotyping success rate of ≈100% for single-copy DNA molecules has been achieved. Additionally, the multiplex genotyping assay approach enables direct haplotype determination without pedigree genotype information. High-throughput haplotyping (>1,000 haplotypes per day) can be achieved by incorporating the M1-PCR technique into the highly automated MassARRAY system.

Fig. 1.
Multiplex genotyping of single-copy DNA molecules for haplotype analysis. Traditional genotyping methods using 5 ng of genomic DNA (≈1,600 copies of genomic templates) yield the genotypes of each individual SNP marker, but the phases of these ...

Materials and Methods

Genomic DNAs and Oligonucleotides. Human genomic DNA samples used for haplotyping of the cholesteryl ester transfer protein locus were provided by SEQUENOM. These DNAs were isolated, by using the Puregene DNA isolation kit (Gentra Systems), from blood samples purchased from the Blood Bank of San Bernardino and Riverside Counties (San Bernardino, CA). The personal background of the blood donors is not accessible for these samples. Human genomic DNA samples for haplotyping of a 24-kb segment on chromosome 5q31 were Centre d'Etude du Polymorphisme Humain (CEPH)/French Pedigree 66 (repository nos. GM12547–GM12554 and GM12556–GM12559) DNAs purchased from Coriell Cell Repositories (Camden, NJ). Information on SNPs and oligonucleotides for genotyping is provided in Table 1.

Table 1.
SNPs and primers for the haplotyping assays

Genotyping and Haplotyping Analysis. Genotyping analyses were carried out by using the MassARRAY system, following the protocol provided by SEQUENOM except for the genomic DNA concentrations. Briefly, genomic DNAs were amplified by PCR using HotStarTaq DNA Polymerase (Qiagen, Valencia, CA). PCR primers (Table 1) were used at 200 nM final concentrations for a PCR volume of 5 μl. The PCR condition was 95°C for 15 min for hot start, followed by denaturing at 94°C for 20 sec, annealing at 56°C for 30 sec, extension at 72°C for 1 min for 45 cycles, and finally incubation at 72°C for 3 min. PCR products first were treated with shrimp alkaline phosphatase (SEQUENOM) for 20 min at 37°C to remove excess dNTPs. ThermoSequenase (SEQUENOM) was used for the base extension reactions. In contrast to SEQUENOM's standard Homogenous MassEXTEND protocol, extension primers were at a final concentration of 1.2 μM in 9-μl reactions. The base extension reaction condition was 94°C for 2 min, followed by 94°C for 5 sec, 52°C for 5 sec, and 72°C for 5 sec for 40 cycles. All reactions (reverse transcription, PCR amplification, and base extension) were carried out in a GeneAmp PCR System 9700 thermal cycler (Applied Biosystems). The final base extension products were treated with SpectroCLEAN resin (SEQUENOM) to remove salts in the reaction buffer. This step was carried out with a Multimek 96-channel autopipette (Beckman Coulter), and 16 μl of resin/water suspension was added into each base extension reaction, making the total volume 25 μl. After a quick centrifugation (2,000 rpm, 3 min) in an Eppendorf Centrifuge 5810, ≈10 nl of reaction solution was dispensed onto a 384 format SpectroCHIP (SEQUENOM) prespotted with a matrix of 3-hydroxypicolinic acid (3-HPA) by using a SpectroPoint nano-dispenser (SEQUENOM). A modified Bruker Biflex matrix-assisted laser desorption ionization/time-of-f light mass spectrometer (Billerica, MA) was used for data acquisitions from the SpectroCHIP. Genotyping calls were made in real time with massarray rt software (SEQUENOM). For haplotyping analysis, multiplex genotyping assays were carried out by using 3 pg (or approximately one copy of genomic template, unless otherwise specified) of genomic DNA. Each SNP from every individual was genotyped individually by using 5 ng of genomic DNA to confirm that M1-PCR does not yield wrong genotypes.

Analysis of Effects of Genomic DNA Concentration on Haplotyping. To calculate the percentage of failed assays, we simply counted all failed assays (no call for any SNP) divided by the total number of assays. Twelve replicates for 12 individuals and 18 replicates for 6 individuals were carried out. The percentage of incomplete assays was calculated in the same way. To calculate percentage of successful haplotyping and both alleles, we excluded the data from those individuals with homozygous haplotypes. Theoretical predictions were based on the Poisson distribution of extremely dilute DNA solutions, according to a published method (21).

Results and Discussion

We first investigated the effect of genomic DNA concentration on haplotyping efficiency for the M1-PCR technique. We used 3, 5, and 9 pg (equivalent to 1, 1.6, and 3 genomic template copies) of genomic DNA for PCR amplification and genotyping of three SNPs (GenBank SNP ID: rs289741, rs289742, and rs289744; Table 1) in the cholesteryl ester transfer protein region from 12 individuals. Each triplex assay was repeated 12–18 times to evaluate the PCR and haplotyping efficiency. A typical assay result is summarized in Table 2. The copy number of the genomic DNA region of interest in extremely dilute DNA solutions is estimated by the Poisson distribution (21). If a genomic DNA is diluted to approximately one copy of the genomic region of interest, zero, one, two, or more copies of this region will be obtained because of stochastic fluctuations. These fluctuations will lead to different outcomes for molecular haplotyping by the M1-PCR method. Haplotyping results are categorized into four groups (Table 2). Failed assays can result either from failed PCR amplifications from single-copy DNAs or from simply the absence of a template caused by the stochastic fluctuations of extremely dilute DNA solutions. Partially failed genotyping calls (or incomplete multiplexes) are those that have only one or two SNPs successfully genotyped. These incomplete multiplexes are most likely attributable to unsuccessful PCR amplifications for the genomic DNA regions (as opposed to the absence of the genomic regions) of the failed SNP assays, because in most cases the three closely positioned SNP markers (separated by <628 bp) are either all present or all absent in a PCR. The Poisson distribution also may result in the presence of both alleles in the solution and hence the inability to resolve the phase of the SNPs. Successful haplotyping analysis can be achieved when a single copy of the allele or multiple copies of the same allele are present, and the genotyping is successful.

Table 2.
Sample haplotype analysis with a triplex genotyping assay

Incomplete multiplex genotyping can be used to estimate the efficiency of genotyping from single-copy DNA molecules. A partial genotyping call suggests the presence of the SNP DNA but a failure to genotype some of the SNPs. We typically observe 5–10% incomplete multiplex genotyping calls (Fig. 2), suggesting a PCR efficiency of 90–95% with single-copy DNA molecules. This approach might overestimate the PCR efficiency, because we did not take the completely failed assays into account. We also carried out a detailed comparison between observed and theoretical values of failed assays, successful haplotyping, and the presence of both alleles (Fig. 2; also see Materials and Methods for details of calculation). Theoretical values are based on the Poisson distribution of extremely dilute DNA solutions and the assumption of 100% PCR amplification efficiency. The close agreement between theoretical estimates and experimental observations substantiates the earlier estimate of extremely high PCR efficiency with single-copy DNA molecules. This high PCR efficiency is likely attributable to the use of very short amplicons (typically only 100 bp) and the high sensitivity of matrix-assisted laser desorption ionization/time-of-flight MS detection of DNA oligonucleotides, consistent with our previous finding in transcriptional profiling, where as few as five cDNA copies can be quantified (22). High PCR efficiency is an absolute requirement for multiplex genotyping assays with single-copy DNA molecules. Low PCR efficiency (even at 50%) will cause allele dropout in genotyping assays when only a few DNA templates are present. The problems become more severe in multiplex genotyping assays, resulting in not only allele dropouts but also wrong haplotyping calls. This high PCR efficiency is also absolutely crucial for high-throughput haplotyping analysis. With our current PCR efficiency, we can achieve 40–45% haplotyping efficiency with a single reaction by using 3–4.5 pg of genomic DNA (close to the theoretical upper limit determined by the Poisson distribution of extremely dilute DNA samples). A replicate of four independent multiplex genotyping assays will enable ≈90% direct haplotyping success rate.

Fig. 2.
Effect of genomic DNA concentration on haplotyping efficiency. Approximately 3, 5, and 9 pg (or 1, 1.6, and 3 copies of genomic templates) were used for haplotyping of three SNP markers (GenBank SNP ID: rs289741, rs289742, and rs289744; Table 1) in ...

We next demonstrate an approach for determining haplotypes where there are too many markers to be determined in one multiplex genotyping assay. Overlapping informative SNPs can be used to combine haplotypes from several multiplex assays. Seven SNP markers in an 8-kb cholesteryl ester transfer protein genomic region were chosen, and two overlapping five-plex genotyping assays were used for haplotyping analysis (Fig. 3). We were able to determine the haplotypes of all 12 individuals for that genomic region, with absolutely no optimization of the assay system. A larger-scale study is needed to further validate the practicability of this approach for high-throughput haplotyping analysis.

Fig. 3.
Overlapping multiplex genotyping assays with single-copy DNA molecules. Seven SNP markers (A, rs289744; B, rs2228667; C, rs5882; D, rs5880; E, rs5881; F, rs291044; and G, rs2033254) from an 8-kb genomic region of the cholesteryl ester transfer protein ...

It is inherent in the M1-PCR design that distance between SNPs is not a factor for successful haplotyping, as long as not many copies of the genomic DNA have physical breaks between the markers. This distance-independence is significant because allele-specific PCR and previous single-molecule PCR are limited to a short (at most a few kilobases) genomic region, attributable to lower PCR efficiency in amplifying the entire genomic DNA region (typically a few kilobases) containing the selected SNPs at single DNA molecule level. We chose three SNPs spanning >24 kb in the human chromosome 5q31 region (23) and determined the haplotypes of two Centre d'Etude du Polymorphisme Humain (CEPH) families with a total of 24 individuals. The haplotypes of these individuals were first determined by our direct molecule haplotyping approach, without the pedigree information. The haplotypes also were determined by genotyping individual SNPs and using the pedigree information. These two approaches produced consistent results (Fig. 4). Compared with the haplotyping of shorter genomic regions, there was a significantly higher percentage of wrong haplotyping calls. Thus, we used more replicates (1014) of single-molecule PCRs for each individual. The false haplotype calls were identified clearly because more correct calls existed in the replicate experiments. The wrong haplotype calls are very likely caused by the breaks between the SNP markers in the original genomic DNA preparations. The vendor (Coriell Cell Repositories) of the genomic DNA states that the average genomic DNA size is 100–150 kb. Assuming that the DNA breaks are equally likely in all genomic regions, there would be an ≈20% chance of breakage between two markers 24 kb apart. The breaks between the selected SNP markers will, in effect, eliminate the linkage between the markers in the same haplotype and cause wrong haplotype calls. Recent publications on haplotype block structures (23, 24) indicate that the typical haplotype size is ≈10–50 kb. Thus, our approach can be applied directly for long-range genomic DNA haplotyping.

Fig. 4.
Haplotyping of three SNP markers spanning 24 kb in the chromosome 5q31 region. The SNPs chosen were IGR2150a_1, IGR2175a_2, and IGR2198a_1 (Table 1). The results from Centre d'Etude du Polymorphisme Humain (CEPH)/French Pedigree 66 are shown. (a) ...

We have shown that single-molecule haplotyping (15), a method tried and apparently abandoned a decade ago because of technical problems, can be resurrected and made to work robustly and at much longer genomic ranges, because of highly efficient M1-PCR and automated, sensitive matrix-assisted laser desorption ionization/time-of-flight MS detection. M1-PCR does not require the amplification of the entire genomic regions containing the SNPs of interest. Instead, only ≈100 bp of the genomic region surrounding each SNP is amplified by multiplex PCR, resulting in ≈100% PCR efficiency from single-copy DNA molecules. In addition, the M1-PCR has been incorporated into the highly automated MassARRAY system so that high-throughput (a few thousand haplotyping assays per day), direct molecular haplotyping can be achieved. The M1-PCR approach is independent of pedigree genotype information. Thus, it is not necessary to collect families, set up cell lines, or subclone genomic DNAs to infer haplotypes, saving cost and time and eliminating various artifacts, which enables direct and rapid haplotyping in clinical settings or conventional case control studies. In addition, this approach produces haplotypes definitively and unambiguously where statistical and computational haplotyping falls short. The amounts of DNA needed are ≈100–1,000 times less than those currently used for genotyping; hence, whole genome scans will now be possible on normally accessible blood samples.


We thank Dr. Zhiping Weng for critical comments on the manuscript. This work was supported by a grant from SEQUENOM to Boston University.


Abbreviation: SNP, single-nucleotide polymorphism.


1. Sachidanandam, R., Weissman, D., Schmidt, S. C., Kakol, J. M., Stein, L. D., Marth, G., Sherry, S., Mullikin, J. C., Mortimore, B. J., Willey, D. L., et al. (2001) Nature 409, 928–933. [PubMed]
2. Marth, G., Yeh, R., Minton, M., Donaldson, R., Li, Q., Duan, S., Davenport, R., Miller, R. D. & Kwok, P. Y. (2001) Nat. Genet. 27, 371–372. [PubMed]
3. Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) Science 291, 1304–1351. [PubMed]
4. Grupe, A., Germer, S., Usuka, J., Aud, D., Belknap, J. K., Klein, R. F., Ahluwalia, M. K., Higuchi, R. & Peltz, G. (2001) Science 292, 1915–1918. [PubMed]
5. Hirschhorn, J. N., Lohmueller, K., Byrne, E. & Hirschhorn, K. (2002) Genet. Med. 4, 45–61. [PubMed]
6. Templeton, A. R., Sing, C. F., Kessling, A. & Humphries, S. (1988) Genetics 120, 1145–1154. [PMC free article] [PubMed]
7. Kruglyak, L. (1999) Nat. Genet. 22, 139–144. [PubMed]
8. Judson, R., Stephens, J. C. & Windemuth, A. (2000) Pharmacogenomics 1, 15–26. [PubMed]
9. Martin, E. R., Gilbert, J. R., Lai, E. H., Riley, J., Rogala, A. R., Slotterbeck, B. D., Sipe, C. A., Grubber, J. M., Warren, L. L., Conneally, P. M., et al. (2000) Genomics 63, 7–12. [PubMed]
10. Cardon, L. R. & Abecasis, G. R. (2003) Trends Genet. 19, 135–140. [PubMed]
11. Hodge, S. E., Boehnke, M. & Spence, M. A. (1999) Nat. Genet. 21, 360–361. [PubMed]
12. Clark, A. G. (1990) Mol. Biol. Evol. 7, 111–122. [PubMed]
13. Stephens, M., Smith, N. J. & Donnelly, P. (2001) Am. J. Hum. Genet. 68, 978–989. [PMC free article] [PubMed]
14. Ruano, G. & Kidd, K. K. (1989) Nucleic Acids Res. 17, 8392. [PMC free article] [PubMed]
15. Ruano, G., Kidd, K. K. & Stephens, J. C. (1990) Proc. Natl. Acad. Sci. USA 87, 6296–6300. [PMC free article] [PubMed]
16. Yan, H., Papadopoulos, N., Marra, G., Perrera, C., Jiricny, J., Boland, C. R., Lynch, H. T., Chadwick, R. B., de la Chapelle, A., Berg, K., et al. (2000) Nature 403, 723–724. [PubMed]
17. McDonald, O. G., Krynetski, E. Y. & Evans, W. E. (2002) Pharmacogenetics 12, 93–99. [PubMed]
18. Michalatos-Beloin, S., Tishkoff, S. A., Bentley, K. L., Kidd, K. K. & Ruano, G. (1996) Nucleic Acids Res. 24, 4841–4843. [PMC free article] [PubMed]
19. Tost, J., Brandt, O., Boussicault, F., Derbala, D., Caloustian, C., Lechner, D. & Gut, I. G. (2002) Nucleic Acids Res. 30, e96. [PMC free article] [PubMed]
20. Li, H., Cui, X. & Arnheim, N. (1990) Proc. Natl. Acad. Sci. USA 87, 4580–4584. [PMC free article] [PubMed]
21. Stephens, J. C., Rogers, J. & Ruano, G. (1990) Am. J. Hum. Genet. 46, 1149–1155. [PMC free article] [PubMed]
22. Ding, C. & Cantor, C. R. (2003) Proc. Natl. Acad. Sci. USA 100, 3059–3064. [PMC free article] [PubMed]
23. Daly, M. J., Rioux, J. D., Schaffner, S. F., Hudson, T. J. & Lander, E. S. (2001) Nat. Genet. 29, 229–232. [PubMed]
24. Gabriel, S. B., Schaffner, S. F., Nguyen, H., Moore, J. M., Roy, J., Blumenstiel, B., Higgins, J., DeFelice, M., Lochner, A., Faggart, M., et al. (2002) Science 296, 2225–2229. [PubMed]

Articles from Proceedings of the National Academy of Sciences of the United States of America are provided here courtesy of National Academy of Sciences
PubReader format: click here to try


Related citations in PubMed

See reviews...See all...

Cited by other articles in PMC

See all...


  • Compound
    PubChem Compound links
  • MedGen
    Related information in MedGen
  • PubMed
    PubMed citations for these articles
  • SNP
    PMC to SNP links
  • Substance
    PubChem Substance links

Recent Activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...