Design and Statistical Analysis of Pooled Next Generation Sequencing for Rare Variants
Next generation sequencing (NGS) is a revolutionary technology for biomedical research. One highly cost-efficient application of NGS is to detect disease association based on pooled DNA samples. However, several key issues need to be addressed for pooled NGS. One of them is the high sequencing erro...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Journal of Probability and Statistics |
| Online Access: | http://dx.doi.org/10.1155/2012/524724 |
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| _version_ | 1841524500973223936 |
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| author | Tao Wang Chang-Yun Lin Yuanhao Zhang Ruofeng Wen Kenny Ye |
| author_facet | Tao Wang Chang-Yun Lin Yuanhao Zhang Ruofeng Wen Kenny Ye |
| author_sort | Tao Wang |
| collection | DOAJ |
| description | Next generation sequencing (NGS) is a revolutionary technology for biomedical research. One highly cost-efficient application of NGS is to detect disease association based on pooled DNA samples. However, several key issues need to be addressed for pooled NGS. One of them is the high sequencing error rate and its high variability across genomic positions and experiment runs, which, if not well considered in the experimental design and analysis, could lead to either inflated false positive rates or loss in statistical power. Another important issue is how to test association of a group of rare variants. To address the first issue, we proposed a new blocked pooling design in which multiple pools of DNA samples from cases and controls are sequenced together on same NGS functional units. To address the second issue, we proposed a testing procedure that does not require individual genotypes but by taking advantage of multiple DNA pools. Through a simulation study, we demonstrated that our approach provides a good control of the type I error rate, and yields satisfactory power compared to the test-based on individual genotypes. Our results also provide guidelines for designing an efficient pooled. |
| format | Article |
| id | doaj-art-ef7cc47059d54632bbe8ededb1804312 |
| institution | Kabale University |
| issn | 1687-952X 1687-9538 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Probability and Statistics |
| spelling | doaj-art-ef7cc47059d54632bbe8ededb18043122025-02-03T05:53:06ZengWileyJournal of Probability and Statistics1687-952X1687-95382012-01-01201210.1155/2012/524724524724Design and Statistical Analysis of Pooled Next Generation Sequencing for Rare VariantsTao Wang0Chang-Yun Lin1Yuanhao Zhang2Ruofeng Wen3Kenny Ye4Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY 10461, USADepartment of Applied Mathematics and Institute of Statistics, National Chung Hsing University, Taichung 402, TaiwanDepartment of Applied Mathematics and Statistics, Stony Brook University, New York, NY 11794, USADepartment of Applied Mathematics and Statistics, Stony Brook University, New York, NY 11794, USADepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY 10461, USANext generation sequencing (NGS) is a revolutionary technology for biomedical research. One highly cost-efficient application of NGS is to detect disease association based on pooled DNA samples. However, several key issues need to be addressed for pooled NGS. One of them is the high sequencing error rate and its high variability across genomic positions and experiment runs, which, if not well considered in the experimental design and analysis, could lead to either inflated false positive rates or loss in statistical power. Another important issue is how to test association of a group of rare variants. To address the first issue, we proposed a new blocked pooling design in which multiple pools of DNA samples from cases and controls are sequenced together on same NGS functional units. To address the second issue, we proposed a testing procedure that does not require individual genotypes but by taking advantage of multiple DNA pools. Through a simulation study, we demonstrated that our approach provides a good control of the type I error rate, and yields satisfactory power compared to the test-based on individual genotypes. Our results also provide guidelines for designing an efficient pooled.http://dx.doi.org/10.1155/2012/524724 |
| spellingShingle | Tao Wang Chang-Yun Lin Yuanhao Zhang Ruofeng Wen Kenny Ye Design and Statistical Analysis of Pooled Next Generation Sequencing for Rare Variants Journal of Probability and Statistics |
| title | Design and Statistical Analysis of Pooled Next Generation Sequencing for Rare Variants |
| title_full | Design and Statistical Analysis of Pooled Next Generation Sequencing for Rare Variants |
| title_fullStr | Design and Statistical Analysis of Pooled Next Generation Sequencing for Rare Variants |
| title_full_unstemmed | Design and Statistical Analysis of Pooled Next Generation Sequencing for Rare Variants |
| title_short | Design and Statistical Analysis of Pooled Next Generation Sequencing for Rare Variants |
| title_sort | design and statistical analysis of pooled next generation sequencing for rare variants |
| url | http://dx.doi.org/10.1155/2012/524724 |
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