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Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis
BACKGROUND: DNA from buccal brush samples is being used for high-throughput analyses in a variety of applications, but the impact of sample type on genotyping success and downstream statistical analysis remains unclear. The objective of the current study was to determine laboratory predictors of gen...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447646/ https://www.ncbi.nlm.nih.gov/pubmed/22920755 http://dx.doi.org/10.1186/1471-2156-13-75 |
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author | Woo, Jessica G Martin, Lisa J Ding, Lili Brown, W Mark Howard, Timothy D Langefeld, Carl D Moomaw, Charles J Haverbusch, Mary Sun, Guangyun Indugula, Subba R Cheng, Hong Deka, Ranjan Woo, Daniel |
author_facet | Woo, Jessica G Martin, Lisa J Ding, Lili Brown, W Mark Howard, Timothy D Langefeld, Carl D Moomaw, Charles J Haverbusch, Mary Sun, Guangyun Indugula, Subba R Cheng, Hong Deka, Ranjan Woo, Daniel |
author_sort | Woo, Jessica G |
collection | PubMed |
description | BACKGROUND: DNA from buccal brush samples is being used for high-throughput analyses in a variety of applications, but the impact of sample type on genotyping success and downstream statistical analysis remains unclear. The objective of the current study was to determine laboratory predictors of genotyping failure among buccal DNA samples, and to evaluate the successfully genotyped results with respect to analytic quality control metrics. Sample and genotyping characteristics were compared between buccal and blood samples collected in the population-based Genetic and Environmental Risk Factors for Hemorrhagic Stroke (GERFHS) study (https://gerfhs.phs.wfubmc.edu/public/index.cfm). RESULTS: Seven-hundred eight (708) buccal and 142 blood DNA samples were analyzed for laboratory-based and analysis metrics. Overall genotyping failure rates were not statistically different between buccal (11.3%) and blood (7.0%, p = 0.18) samples; however, both the Contrast Quality Control (cQC) rate and the dynamic model (DM) call rates were lower among buccal DNA samples (p < 0.0001). The ratio of double-stranded to total DNA (ds/total ratio) in the buccal samples was the only laboratory characteristic predicting sample success (p < 0.0001). A threshold of at least 34% ds/total DNA provided specificity of 98.7% with a 90.5% negative predictive value for eliminating probable failures. After genotyping, median sample call rates (99.1% vs. 99.4%, p < 0.0001) and heterozygosity rates (25.6% vs. 25.7%, p = 0.006) were lower for buccal versus blood DNA samples, respectively, but absolute differences were small. Minor allele frequency differences from HapMap were smaller for buccal than blood samples, and both sample types demonstrated tight genotyping clusters, even for rare alleles. CONCLUSIONS: We identified a buccal sample characteristic, a ratio of ds/total DNA <34%, which distinguished buccal DNA samples likely to fail high-throughput genotyping. Applying this threshold, the quality of final genotyping resulting from buccal samples is somewhat lower, but compares favorably to blood. Caution is warranted if cases and controls have different sample types, but buccal samples provide comparable results to blood samples in large-scale genotyping analyses. |
format | Online Article Text |
id | pubmed-3447646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34476462012-09-21 Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis Woo, Jessica G Martin, Lisa J Ding, Lili Brown, W Mark Howard, Timothy D Langefeld, Carl D Moomaw, Charles J Haverbusch, Mary Sun, Guangyun Indugula, Subba R Cheng, Hong Deka, Ranjan Woo, Daniel BMC Genet Research Article BACKGROUND: DNA from buccal brush samples is being used for high-throughput analyses in a variety of applications, but the impact of sample type on genotyping success and downstream statistical analysis remains unclear. The objective of the current study was to determine laboratory predictors of genotyping failure among buccal DNA samples, and to evaluate the successfully genotyped results with respect to analytic quality control metrics. Sample and genotyping characteristics were compared between buccal and blood samples collected in the population-based Genetic and Environmental Risk Factors for Hemorrhagic Stroke (GERFHS) study (https://gerfhs.phs.wfubmc.edu/public/index.cfm). RESULTS: Seven-hundred eight (708) buccal and 142 blood DNA samples were analyzed for laboratory-based and analysis metrics. Overall genotyping failure rates were not statistically different between buccal (11.3%) and blood (7.0%, p = 0.18) samples; however, both the Contrast Quality Control (cQC) rate and the dynamic model (DM) call rates were lower among buccal DNA samples (p < 0.0001). The ratio of double-stranded to total DNA (ds/total ratio) in the buccal samples was the only laboratory characteristic predicting sample success (p < 0.0001). A threshold of at least 34% ds/total DNA provided specificity of 98.7% with a 90.5% negative predictive value for eliminating probable failures. After genotyping, median sample call rates (99.1% vs. 99.4%, p < 0.0001) and heterozygosity rates (25.6% vs. 25.7%, p = 0.006) were lower for buccal versus blood DNA samples, respectively, but absolute differences were small. Minor allele frequency differences from HapMap were smaller for buccal than blood samples, and both sample types demonstrated tight genotyping clusters, even for rare alleles. CONCLUSIONS: We identified a buccal sample characteristic, a ratio of ds/total DNA <34%, which distinguished buccal DNA samples likely to fail high-throughput genotyping. Applying this threshold, the quality of final genotyping resulting from buccal samples is somewhat lower, but compares favorably to blood. Caution is warranted if cases and controls have different sample types, but buccal samples provide comparable results to blood samples in large-scale genotyping analyses. BioMed Central 2012-08-25 /pmc/articles/PMC3447646/ /pubmed/22920755 http://dx.doi.org/10.1186/1471-2156-13-75 Text en Copyright ©2012 Woo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Woo, Jessica G Martin, Lisa J Ding, Lili Brown, W Mark Howard, Timothy D Langefeld, Carl D Moomaw, Charles J Haverbusch, Mary Sun, Guangyun Indugula, Subba R Cheng, Hong Deka, Ranjan Woo, Daniel Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis |
title | Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis |
title_full | Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis |
title_fullStr | Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis |
title_full_unstemmed | Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis |
title_short | Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis |
title_sort | quantitative criteria for improving performance of buccal dna for high-throughput genetic analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447646/ https://www.ncbi.nlm.nih.gov/pubmed/22920755 http://dx.doi.org/10.1186/1471-2156-13-75 |
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