Clinical Chemistry
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Clinical Chemistry 53: 1161-1162, 2007; 10.1373/clinchem.2006.082313
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(Clinical Chemistry. 2007;53:1161-1162.)
© 2007 American Association for Clinical Chemistry, Inc.


Letters to the Editor

Whole Genome Amplification and Genetic Analysis after Extraction of Proteins from Dried Blood Spots

Mads V. Hollegaard1,2, Karina M. Sørensen1, Høgni K. Petersen1, Maria B. Arnardottir1, Bent Nørgaard-Pedersen1, Poul Thorsen2 and David M. Hougaard1,a

1 Department of Clinical Biochemistry, Statens Serum Institut, Copenhagen, Denmark
2 NANEA at Department of Epidemiology, Institute of Public Health, Aarhus University, Aarhus, Denmark

aAddress correspondence to this author at: Department of Clinical Biochemistry, Statens Serum Institut, Artillerivej 5, DK-2300 Copenhagen S, Denmark. Fax 45-3268-3878; e-mail dh{at}ssi.dk.


To the Editor:

Programs to screen newborns for congenital disorders are based on analysis of dried blood spot samples (DBSS), which have proven to be robust and convenient for collection, transport, and storage. Because blood samples are collected with no selection, and coverage of the population is essentially universal, residual DBSS combined with patient registers are a valuable resource for epidemiological research (1). The usefulness of DBSS is limited by the small amount of blood available, however, and methods that optimize the use of the sample are required, such as various whole genome amplification (WGA) methods used in genetic epidemiological studies (2)(3). We previously described a high-capacity multiplex immunoassay, based on Luminex xMAP technology that uses two 3-mm punches from each DBSS, for simultaneous determination of 25 inflammatory markers and neurotrophins (4). We now report that after extraction of proteins for the immunoassays, there is sufficient genomic DNA (gDNA) on the used DBSS disks to perform several WGA reactions, each producing enough whole–genome-amplified DNA (wgaDNA) for numerous reliable genotypings.

Blood from 20 anonymous volunteers was spotted on filter paper and air dried, and six 3-mm disks were punched out from each DBSS. Half the disks were subjected to protein extraction (4). The 2 groups of disks from each individual were then further split into 2 subgroups with, respectively, 1 and 2 disks in each, and gDNA was extracted in a volume of 200 µL using the Extract-N-AmpTM reagent set (Sigma-Aldrich). The concentration of gDNA (0.2 mg/L, measured by the Quant-ITTM PicoGreen® dsDNA Reagent) was not correlated to the use of 1 or 2 disks or to prior protein extraction. We then amplified extracted gDNA with 2 different WGA reagent sets: the GenomePlex Whole Genome Amplification Kit (Sigma-Aldrich), which is based on the Omniplex method, and the AmpliQ Genomic Amplifier Kit (Ampliqon), which uses the multiple-displacement amplification approach. Allowed input volumes are 10 µL for the GenomePlex (~2.0 ng gDNA) and 8 µL for the AmpliQ, (~1.6 ng gDNA). Both reagent sets use less input gDNA than the recommended 10 ng, a feature that may be critical for the genotyping performance of the resulting wgaDNA (5), and thus direct comparisons cannot be made. The yield of wgaDNA was 2.6–3.8 µg, independent of whether protein extraction was performed and whether 1 or 2 disks were used.

The quality of wgaDNA was assessed by TaqMan® single-nucleotide polymorphism (SNP) genotyping of 27 SNPs in 27 genes distributed on 13 chromosomes. Reference gDNA was extracted from 200 µL of whole blood from the same 20 individuals. Genotype calls were done independently by 3 persons. The call and error rates are shown in Table 1 . Despite the suboptimal amount of input gDNA, the best call and error rates were nearly optimal. The most common errors, results indicating that heterozygous individuals were homozygous, were attributable to allele dropouts most probably due to an insufficient amount or low quality of template gDNA. Details of sample flow and call and error rates for each individual gene can be seen in the Data Supplement that accompanies the online version of this article at http://www.clinchem.org/content/vol53/issue5.


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Table 1. TaqMan call and error rates of wgaDNA from DBSS disks.

When extraction of proteins from disks was performed before extraction of DNA, the resulting wgaDNA generally showed higher TaqMan genotype call rates and lower error rates than wgaDNA from disks that had not undergone pre-extraction of proteins (Table 1Up ). This result suggests that the pre-extraction procedure removes compounds from the filter paper disks that may interfere with the WGA reaction. This explanation is in accordance with the observation that the use of 2 disks that had not undergone protein pre-extraction gave inferior results than did the use of only 1 disk, whereas the opposite was the case for the pre-extracted disks, for which the use of 2 disks instead of 1 yielded superior results (Table 1Up ). The DBSS used in this study were stored for only a limited time, and we do not know the effect on the quality of wgaDNA of prolonged storage at room temperature or at –20 °C.

Our results demonstrate that DBSS disks previously used for multiplex protein measurements are reliable sources of gDNA that is suitable for WGA and SNP genotyping. The study also shows that both the Omniplex-based method producing short wgaDNA of 400–500 bp and the multiple-displacement amplification-based method producing long wgaDNA of 10–20 kbp are well suited for the amplification. In our setup, the amount of template gDNA from each extraction was sufficient for ~20 amplifications, and the yield of wgaDNA from 1 amplification was enough for ~300 TaqMan genotypings.


Acknowledgments

Grant/funding support: None declared.

Financial disclosures: None declared.


References

  1. Norgaard-Pedersen B, Hougaard DM. The Danish Newborn Screening Biobank in Routine and Research. New Revised Biobank Regulations. Knoppers BM Koninklijke Brill NV Leiden eds. Genomics and Public Health 2007:97-110 .
  2. Hannelius U, Lindgren CM, Melen E, Malmberg A, von Dobeln U, Kere J. Phenylketonuria screening registry as a resource for population genetic studies. J Med Genet 2005;42:e60.[Abstract/Free Full Text]
  3. Sun G, Kaushal R, Pal P, Wolujewicz M, Smelser D, Cheng H, et al. Whole-genome amplification: relative efficiencies of current methods. Leg Med [Tokyo] 2005;7:279-286.[Medline] [Order article via Infotrieve]
  4. Skogstrand K, Thorsen P, Norgaard-Pedersen B, Schendel DE, Sorensen LC, Hougaard DM. Simultaneous measurement of 25 inflammatory markers and neurotropins in neonatal dried blood spots by immunoassay with xMAP technology. Clin Chem 2005;51:1854-1866.[Abstract/Free Full Text]
  5. Bergen AW, Qi Y, Haque KA, Welch RA, Chanock SJ. Effects of DNA mass on multiple displacement whole genome amplification and genotyping performance. BMC Biotechnology 2005;5:24-35.[CrossRef][Medline] [Order article via Infotrieve]




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