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PMID: 18628432 Published · ppublish English Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Performance of amplified DNA in an Illumina GoldenGate BeadArray assay.

Cunningham JM, Sellers TA, Schildkraut JM, Fredericksen ZS, Vierkant RA, Kelemen LE, Gadre M, Phelan CM, Huang Y, Meyer JG, Pankratz VS, Goode EL

Abstract

Whole genome amplification (WGA) offers a means to enrich DNA quantities for epidemiologic studies. We used an ovarian cancer study of 1,536 single nucleotide polymorphisms (SNPs) and 2,368 samples to assess performance of multiple displacement amplification (MDA) WGA using an Illumina GoldenGate BeadArray. Initial screening revealed successful genotyping for 93.4% of WGA samples and 99.3% of genomic samples, and 93.2% of SNPs for WGA samples and 96.3% of SNPs for genomic samples. SNP failure was predicted by Illumina-provided designability rank, %GC (P < or = 0.002), and for WGA only, distance to telomere and Illumina-provided SNP score (P < or = 0.002). Distance to telomere and %GC were highly correlated; adjustment for %GC removed the association between distance to telomere and SNP failure. Although universally high, per-SNP call rates were related to designability rank, SNP score, %GC, minor allele frequency, distance to telomere (P < or = 0.01), and, for WGA only, Illumina-provided validation class (P < 0.001). We found excellent concordance generally (>99.0%) among 124 WGA:genomic replicates, 15 WGA replicates, 88 replicate aliquots of the same WGA preparation, and 25 genomic replicates. Where there was discordance, it was across WGA:genomic replicates but limited to only a few samples among other replicates suggesting the introduction of error. Designability rank and SNP score correlated with WGA:genomic concordance (P < 0.001). In summary, use of MDA WGA DNA is feasible; however, caution is warranted regarding SNP selection and analysis. We recommend that biological SNP characteristics, notably distance to telomere and GC content (<50% GC recommended), as well as Illumina-provided metrics be considered in the creation of GoldenGate assays using MDA WGA DNA.

MeSH Terms
Alberta/epidemiology Biomarkers, Tumor/genetics DNA, Neoplasm/analysis Female Genotype Humans Immunomagnetic Separation/methods Incidence Nucleic Acid Amplification Techniques/methods Ovarian Neoplasms/epidemiology,genetics Reproducibility of Results United States/epidemiology
Chemicals
Biomarkers, Tumor DNA, Neoplasm
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Cunningham Julie M
Department of Health Sciences Research, College of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Sellers Thomas A
Schildkraut Joellen M
Fredericksen Zachary S
Vierkant Robert A
Kelemen Linda E
Gadre Madhura
Phelan Catherine M
Huang Yifan
Meyer Jeffrey G
Pankratz V Shane
Goode Ellen L
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Article Info
Journal
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
Abbr.
Cancer Epidemiol Biomarkers Prev
ISSN
1055-9965
Published
2008-07-00
Pages
1781-9
Language
English
Region
United States
NLM ID
9200608
PMCID
PMC2732190
Subset
IM
Grants
NCI NIH HHS · R01 CA086888 · United States
NCI NIH HHS · P30 CA015083-33 · United States
NCI NIH HHS · R01 CA 86888 · United States
NCI NIH HHS · R01 CA 122443 · United States
NCI NIH HHS · R01 CA086888-03 · United States
NCI NIH HHS · P30 CA 15083 · United States
NCI NIH HHS · R01 CA122443-01A1 · United States
NCI NIH HHS · R01 CA122443 · United States
NCI NIH HHS · P30 CA015083 · United States
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