A Bayesian Joint Fine Mapping Approach That Shares Information Between Related Autoimmune Diseases Increases Accuracy and Identifies Novel Associations

Asimit Jennifer L.; Fortune Mary D.; Rainbow Daniel B.; Wicker Linda S.; Wallace Chris

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A Bayesian Joint Fine Mapping Approach That Shares Information Between Related Autoimmune Diseases Increases Accuracy and Identifies Novel Associations

机译：贝叶斯联合精细映射方法，股票相关自身免疫疾病之间的信息增加了准确性并识别了新的协会

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来源
《Human Heredity》 |2017年第1期|共1页
作者
Asimit Jennifer L.; Fortune Mary D.; Rainbow Daniel B.; Wicker Linda S.; Wallace Chris;
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作者单位

Univ Cambridge MRC Biostat Unit Cambridge England;

Univ Cambridge MRC Biostat Unit Cambridge England;

Univ Oxford JDRF Wellcome Trust Diabet &

Inflammat Lab Oxford England;

Univ Oxford JDRF Wellcome Trust Diabet &

Inflammat Lab Oxford England;

Univ Cambridge MRC Biostat Unit Cambridge England;

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原文格式 PDF
正文语种 eng
中图分类医学遗传学;
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1. A Bayesian Joint Fine Mapping Approach That Shares Information Between Related Autoimmune Diseases Increases Accuracy and Identifies Novel Associations [J] . Asimit Jennifer L., Fortune Mary D., Rainbow Daniel B., Human Heredity . 2017,第1期

机译：贝叶斯联合精细映射方法，股票相关自身免疫疾病之间的信息增加了准确性并识别了新的协会
2. Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases [J] . Jennifer L. Asimit, Daniel B. Rainbow, Mary D. Fortune, Nature Communications . 2019,第1期

机译：随机搜索和关节精细映射提高了准确性，并识别以前未报告的免疫介导疾病的联系
3. Joint Fine Mapping of Multiple Related Diseases Increases Power Through Exploiting Shared Causal Variant Structure [J] . Asimit Jennifer L., Fortune Mary D., Wallace Chris Genetic epidemiology. . 2017,第7期

机译：多种相关疾病的关节精细映射通过利用共享因果变量结构来增加功率
4. Association between PM2.5 and Systemic Autoimmune Rheumatic Diseases: A Cohort Study in Taiwan from 2001 to 2011 [C] . Chi-Min Wang, Chau-Ren Jung, Wei-Ting Chen, Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology . 2018

机译：PM2.5与系统性自身免疫性风湿性疾病之间的关联：2001年至2011年台湾的一项队列研究
5. Measuring and using genetic ancestry information in genome-wide admixture mapping and association mapping of complex diseases. [D] . Tian, Chao. 2009

机译：在复杂疾病的全基因组混合物映射和关联映射中测量和使用遗传祖先信息。
6. Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases [O] . Jennifer L. Asimit, Daniel B. Rainbow, Mary D. Fortune, -1

机译：随机搜索和关节精细定位可提高准确性并确定免疫介导疾病中以前未报道的关联
7. Sharing information between related diseases using Bayesian joint fine mapping increases accuracy and identifies novel associations in six immune mediated diseases [O] . Jennifer L Asimit, Daniel B Rainbow, Mary D Fortune, 2019

机译：使用贝叶斯关节精细映射分享相关疾病之间的信息，提高了准确性，并识别六种免疫介导疾病中的新型关联

A Bayesian Joint Fine Mapping Approach That Shares Information Between Related Autoimmune Diseases Increases Accuracy and Identifies Novel Associations

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