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Analysis of genetically independent phenotypes identifies shared genetic factors associated with chronic musculoskeletal pain conditions

机译:转基因表型分析鉴定了与慢性肌肉骨骼疼痛条件相关的共同遗传因素

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摘要

European ancestry individuals provided the matrix of genetic covariances and orthogonal transformation coefficients. The four chronic musculoskeletal pain phenotypes were decomposed into four GIPs. Orthogonal transformation coefficients were further used to construct GIPs in the replication cohorts of European, African, and South Asian ancestry individuals. For each GIP, GWAS results were obtained. Replication of associations and in silico functional analyses were based on the meta-analyses of GWAS for the replication cohorts and European ancestry cohorts, respectively. For replicated loci, the most likely causal genes were prioritized. DEPICT Data-driven Expression Prioritized Integration for Complex Traits framework, GIP genetically independent phenotype, PC principal components, SMR/HEIDI Summary data-based Mendelian Randomization analysis followed by the Heterogeneity in Dependent Instruments test, FUMA Functional Mapping and Annotation of Genome-Wide Association Studies platform.
机译:欧洲祖先的个人提供了遗传共聚员和正交变换系数的基质。四种慢性肌肉骨骼疼痛表型分解成四个助推。进一步用于构建欧洲,非洲和南亚祖先个人的复制队列中的古代的正交变换系数。对于每个GIP,获得GWAS结果。协会和Silico功能分析的复制分别基于GWA的Meta分析,分别为复制队列和欧洲血统队列。对于复制的基因座,优先考虑最可能的因果基因。描绘了数据驱动的表达式复合特性框架的优先集成,GIP遗传学独立表型,PC主成分,SMR / Heidi概述基于数据的孟德利安随机化分析,然后是依赖仪器测试,FUMA功能映射和基因组关联的注释研究平台。

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