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- Lovmar, Lovisa, et al.
(författare)
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Genotyping single-nucleotide polymorphisms by minisequencing using tag arrays
- 2005
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Ingår i: Microarrays in Clinical Diagnostics. - Totowa, N.J. : Humana Press. - 1588293947 - 9781588293947 ; , s. 79-92
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- The need for large-scale and high-throughput methods for SNP genotyping has rapidly increased during the last decade. Our system, presented here, combines the highly specific genotyping principle of minisequencing with the advantages of a microarray format that allows highly multiplexed and parallel analysis. Cyclic minisequencing reactions with fluorescently labeled dideoxynucleotides (ddNTPs) are performed in solution using multiplex PCR product as template and detection primers, designed to anneal immediately adjacent and upstream of the SNP site. The detection primers carry unique 5' tag sequences and oligonucleotides complementary to the tag sequence, cTags, are immobilized on a microarray. After extension, the tagged detection primers are allowed to hybridize to the cTags; then the fluorescent signals from the array are measured, and the genotypes are deduced according to the label incorporated. The "array of arrays" format of the system, accomplished by a silicon rubber grid giving separate reaction chambers, allows either 80 or 14 samples to be analyzed for up to 200 or 600 SNPs, respectively, on a single microscope slide.
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| 2. |
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| 3. |
- Lovmar, Lovisa, et al.
(författare)
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Silhouette scores for assessment of SNP genotype clusters
- 2005
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Ingår i: BMC Genomics. - : Springer Science and Business Media LLC. - 1471-2164. ; 6
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Tidskriftsartikel (refereegranskat)abstract
- Background: High-throughput genotyping of single nucleotide polymorphisms ( SNPs) generates large amounts of data. In many SNP genotyping assays, the genotype assignment is based on scatter plots of signals corresponding to the two SNP alleles. In a robust assay the three clusters that define the genotypes are well separated and the distances between the data points within a cluster are short. "Silhouettes" is a graphical aid for interpretation and validation of data clusters that provides a measure of how well a data point was classified when it was assigned to a cluster. Thus "Silhouettes" can potentially be used as a quality measure for SNP genotyping results and for objective comparison of the performance of SNP assays at different circumstances. Results: We created a program (ClusterA) for calculating "Silhouette scores", and applied it to assess the quality of SNP genotype clusters obtained by single nucleotide primer extension ("minisequencing") in the Tag-microarray format. A Silhouette score condenses the quality of the genotype assignment for each SNP assay into a single numeric value, which ranges from 1.0, when the genotype assignment is unequivocal, down to -1.0, when the genotype assignment has been arbitrary. In the present study we applied Silhouette scores to compare the performance of four DNA polymerases in our minisequencing system by analyzing 26 SNPs in both DNA polarities in 16 DNA samples. We found Silhouettes to provide a relevant measure for the quality of SNP assays at different reaction conditions, illustrated by the four DNA polymerases here. According to our result, the genotypes can be unequivocally assigned without manual inspection when the Silhouette score for a SNP assay is > 0.65. All four DNA polymerases performed satisfactorily in our Tag-array minisequencing system. Conclusion: "Silhouette scores" for assessing the quality of SNP genotyping clusters is convenient for evaluating the quality of SNP genotype assignment, and provides an objective, numeric measure for comparing the performance of SNP assays. The program we created for calculating Silhouette scores is freely available, and can be used for quality assessment of the results from all genotyping systems, where the genotypes are assigned by cluster analysis using scatter plots.
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| 4. |
- Wedrén, Sara, et al.
(författare)
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Estrogen receptor alpha gene polymorphism and endometrial cancer risk : a case-control study
- 2008
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Ingår i: BMC Cancer. - : Springer Science and Business Media LLC. - 1471-2407. ; 8, s. 322-
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Estrogen is an established endometrial carcinogen. One of the most important mediators of estrogenic action is the estrogen receptor alpha. We have investigated whether polymorphic variation in the estrogen receptor alpha gene (ESR1) is associated with endometrial cancer risk. METHODS: In 702 cases with invasive endometrial cancer and 1563 controls, we genotyped five markers in ESR1 and used logistic regression models to estimate odds ratios (OR) and 95 percent confidence intervals (CI). RESULTS: We found an association between rs2234670, rs2234693, as well as rs9340799, markers in strong linkage disequilibrium (LD), and endometrial cancer risk. The association with rs9340799 was the strongest, OR 0.75 (CI 0.60-0.93) for heterozygous and OR 0.53 (CI 0.37-0.77) for homozygous rare compared to those homozygous for the most common allele. Haplotype models did not fit better to the data than single marker models. CONCLUSION: We found that intronic variation in ESR1 was associated with endometrial cancer risk.
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