Genome-wide scans using archived neonatal dried blood spot samples

69Citations
Citations of this article
86Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Identification of disease susceptible genes requires access to DNA from numerous well-characterised subjects. Archived residual dried blood spot samples from national newborn screening programs may provide DNA from entire populations and medical registries the corresponding clinical information. The amount of DNA available in these samples is however rarely sufficient for reliable genome-wide scans, and whole-genome amplification may thus be necessary. This study assess the quality of DNA obtained from different amplification protocols by evaluating fidelity and robustness of the genotyping of 610,000 single nucleotide polymorphisms, using the Illumina Infinium HD Human610-Quad BeadChip. Whole-genome amplified DNA from 24 neonatal dried blood spot samples stored between 15 to 25 years was tested, and high-quality genomic DNA from 8 of the same individuals was used as reference. Results: Using 3.2 mm disks from dried blood spot samples the optimal DNA-extraction and amplification protocol resulted in call-rates between 99.15% - 99.73% (mean 99.56%, N = 16), and conflicts with reference DNA in only three per 10,000 genotype calls. Conclusion: Whole-genome amplified DNA from archived neonatal dried blood spot samples can be used for reliable genome-wide scans and is a cost-efficient alternative to collecting new samples. © 2009 Hollegaard et al; licensee BioMed Central Ltd.

Cite

CITATION STYLE

APA

Hollegaard, M. V., Grauholm, J., Børglum, A., Nyegaard, M., Nørgaard-Pedersen, B., Ørntoft, T., … Hougaard, D. M. (2009). Genome-wide scans using archived neonatal dried blood spot samples. BMC Genomics, 10. https://doi.org/10.1186/1471-2164-10-297

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free