Unknown

Dataset Information

0

Investigating the utility of combining phi29 whole genome amplification and highly multiplexed single nucleotide polymorphism BeadArray genotyping.


ABSTRACT: BACKGROUND: Sustainable DNA resources and reliable high-throughput genotyping methods are required for large-scale, long-term genetic association studies. In the genetic dissection of common disease it is now recognised that thousands of samples and hundreds of thousands of markers, mostly single nucleotide polymorphisms (SNPs), will have to be analysed. In order to achieve these aims, both an ability to boost quantities of archived DNA and to genotype at low costs are highly desirable. We have investigated phi29 polymerase Multiple Displacement Amplification (MDA)-generated DNA product (MDA product), in combination with highly multiplexed BeadArray genotyping technology. As part of a large-scale BeadArray genotyping experiment we made a direct comparison of genotyping data generated from MDA product with that from genomic DNA (gDNA) templates. RESULTS: Eighty-six MDA product and the corresponding 86 gDNA samples were genotyped at 345 SNPs and a concordance rate of 98.8% was achieved. The BeadArray sample exclusion rate, blind to sample type, was 10.5% for MDA product compared to 5.8% for gDNA. CONCLUSIONS: We conclude that the BeadArray technology successfully produces high quality genotyping data from MDA product. The combination of these technologies improves the feasibility and efficiency of mapping common disease susceptibility genes despite limited stocks of gDNA samples.

SUBMITTER: Pask R 

PROVIDER: S-EPMC514612 | biostudies-literature | 2004 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Investigating the utility of combining phi29 whole genome amplification and highly multiplexed single nucleotide polymorphism BeadArray genotyping.

Pask Rebecca R   Rance Helen E HE   Barratt Bryan J BJ   Nutland Sarah S   Smyth Deborah J DJ   Sebastian Meera M   Twells Rebecca C J RC   Smith Anne A   Lam Alex C AC   Smink Luc J LJ   Walker Neil M NM   Todd John A JA  

BMC biotechnology 20040727


<h4>Background</h4>Sustainable DNA resources and reliable high-throughput genotyping methods are required for large-scale, long-term genetic association studies. In the genetic dissection of common disease it is now recognised that thousands of samples and hundreds of thousands of markers, mostly single nucleotide polymorphisms (SNPs), will have to be analysed. In order to achieve these aims, both an ability to boost quantities of archived DNA and to genotype at low costs are highly desirable. W  ...[more]

Similar Datasets

| S-EPMC2871542 | biostudies-literature
| S-EPMC6587344 | biostudies-literature
2013-06-21 | GSE43226 | GEO
| S-EPMC4651459 | biostudies-literature
| S-EPMC5700462 | biostudies-literature
2013-06-21 | E-GEOD-43226 | biostudies-arrayexpress
| S-EPMC2789104 | biostudies-literature
| S-EPMC208797 | biostudies-literature
| S-EPMC123883 | biostudies-literature
| S-EPMC4300397 | biostudies-literature