| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1186/1471-2156-6-S1-S64 |
| Potts model for haplotype associations. | |
| Moltchanova EV; Pitkäniemi J; Haapala L | |
| 发表日期 | 2005 |
| 出处 | BMC Genetics 6 (Sup.1): S64 |
| 出版年 | 2005 |
| 语种 | 英语 |
| 摘要 | Bayesian spatial modeling has become important in disease mapping and has also been suggested as a useful tool in genetic fine mapping. We have implemented the Potts model and applied it to the Genetic Analysis Workshop 14 (GAW14) simulated data. Because the "answers" were known we have analyzed latent phenotype P 1-related observed phenotypes affection status (genetically determined) and i (random) in the Danacaa population replicate 2. Analysis of the microsatellite/single-nucleotide polymorphism-based haplotypes at chromosomes 1 and 3 failed to identify multiple clusters of haplotype effects. However, the analysis of separately simulated data with postulated differences in the effects of the two clusters has yielded clear estimated division into the two clusters, demonstrating the correctness of the algorithm. Although we could not clearly identify the disease-related and the non-associated groups of haplotypes, results of both GAW14 and our own simulation encourage us to improve the efficiency and sensitivity of the estimation algorithm and to further compare the proposed method with more traditional methods. |
| 主题 | Ecosystems Services and Management (ESM) |
| URL | http://pure.iiasa.ac.at/id/eprint/12911/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/128411 |
| 推荐引用方式 GB/T 7714 | Moltchanova EV,Pitkäniemi J,Haapala L. Potts model for haplotype associations.. 2005. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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